{"689263":{"#nid":"689263","#data":{"type":"news","title":"Transformer Explainer Shows How AI is More Math than Human","body":[{"value":"\u003Cp\u003EWhile people use search engines, chatbots, and generative artificial intelligence tools every day, most don\u2019t know how they work. This sets unrealistic expectations for AI and leads to misuse. It also slows progress toward building new AI applications.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EGeorgia Tech researchers are making AI easier to understand through their work on Transformer Explainer. The free, online tool shows non-experts how ChatGPT, Claude, and other large language models (LLMs) process language.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/poloclub.github.io\/transformer-explainer\/\u0022\u003ETransformer Explainer\u003C\/a\u003E is easy to use and runs on any web browser. It quickly went viral after its debut, reaching 150,000 users in its first three months. More than 563,000 people worldwide have used the tool so far.\u003C\/p\u003E\u003Cp\u003EGlobal interest in Transformer Explainer continues when the team presents the tool at the 2026 Conference on Human Factors in Computing Systems (\u003Ca href=\u0022https:\/\/chi2026.acm.org\/\u0022\u003ECHI 2026\u003C\/a\u003E). CHI, the world\u2019s most prestigious conference on human-computer interaction, will take place in Barcelona, April 13-17.\u003C\/p\u003E\u003Cp\u003E[\u003Ca href=\u0022https:\/\/sites.gatech.edu\/research\/chi-2026\/\u0022\u003ERelated: GT @ CHI 2026\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003E\u201cThere are moments when LLMs can seem almost like a person with their own will and personality, and that misperception has real consequences. For example, there have been cases where teenagers have made poor decisions based on conversations with LLMs,\u201d said Ph.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/aereeeee.github.io\/\u0022\u003EAeree Cho\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003E\u201cUnderstanding that an LLM is fundamentally a model that predicts the probability distribution of the next token helps users avoid taking its outputs as absolute. What you put in shapes what comes out, and that understanding helps people engage with AI more carefully and critically.\u201d\u003C\/p\u003E\u003Cp\u003EA transformer is a neural network architecture that changes data input sequence into an output. Text, audio, and images are forms of processed data, which is why transformers are common in generative AI models. They do this by learning context and tracking mathematical relationships between sequence components.\u003C\/p\u003E\u003Cp\u003ETransformer Explainer demystifies how transformers work. The platform uses visualization and interaction to show, step by step, how text flows through a model and produces predictions.\u003C\/p\u003E\u003Cp\u003EUsing this approach, Transformer Explainer impacts the AI landscape in four main ways:\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EIt counters hype and misconceptions surrounding AI by showing how transformers work.\u003C\/li\u003E\u003Cli\u003EIt improves AI literacy among users by removing technical barriers and lowering the entry for learning about AI.\u003C\/li\u003E\u003Cli\u003EIt expands AI education by helping instructors teach AI mechanisms without extensive setup or computing resources.\u003C\/li\u003E\u003Cli\u003EIt influences future development of AI tools and educational techniques by providing a blueprint for interpretable AI systems.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u201cWhen I first learned about transformers, I felt overwhelmed. A transformer model has many parts, each with its own complex math. Existing resources typically present all this information at once, making it difficult to see how everything fits together,\u201d said\u0026nbsp;\u003Ca href=\u0022https:\/\/gracekimcy.github.io\/\u0022\u003EGrace Kim\u003C\/a\u003E, a dual B.S.\/M.S. computer science student.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cBy leveraging interactive visualization, we use levels of abstraction to first show the big picture of the entire model. Then users click into individual parts to reveal the underlying details and math. This way, Transformer Explainer makes learning far less intimidating.\u201d\u003C\/p\u003E\u003Cp\u003EMany users don\u2019t know what transformers are or how they work. The Georgia Tech team found that people often misunderstand AI. Some label AI with human-like characteristics, such as creativity. Others even describe it as working like magic.\u003C\/p\u003E\u003Cp\u003EFurthermore, barriers make it hard for students interested in transformers to start learning. Tutorials tend to be too technical and overwhelm beginners with math and code. While visualization tools exist, these often target more advanced AI experts.\u003C\/p\u003E\u003Cp\u003ETransformer Explainer overcomes these obstacles through its interactive, user-focused platform. It runs a familiar GPT model directly in any web browser, requiring no installation or special hardware.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EUsers can enter their own text and watch the model predict the next word in real time. Sankey-style diagrams show how information moves through embeddings, attention heads, and transformer blocks.\u003C\/p\u003E\u003Cp\u003EThe platform also lets users switch between high-level concepts and detailed math. By adjusting temperature settings, users can see how randomness affects predictions. This reveals how probabilities drive AI outputs, rather than creativity.\u003C\/p\u003E\u003Cp\u003E\u201cMillions of people around the world interact with transformer-driven AI. We believe that it is crucial to bridge the gap between day-to-day user experience and the models\u0027 technical reality, ensuring these tools are not misinterpreted as human-like or seen as sentient,\u201d said Ph.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/www.alexkarpekov.com\/\u0022\u003EAlex Karpekov\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cExplaining the architecture helps users recognize that language generated by models is a product of computation, leading to a more grounded engagement with the technology.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ECho, Karpekov, and Kim led the development of Transformer Explainer. Ph.D. students\u0026nbsp;\u003Ca href=\u0022https:\/\/alechelbling.com\/\u0022\u003EAlec Helbling\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/seongmin.xyz\/\u0022\u003ESeongmin Lee\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/bhoov.com\/\u0022\u003EBen Hoover\u003C\/a\u003E, and alumni\u0026nbsp;\u003Ca href=\u0022https:\/\/zijie.wang\/\u0022\u003EZijie (Jay) Wang\u003C\/a\u003E (Ph.D. ML-CSE 2024) and \u003Ca href=\u0022https:\/\/minsuk.com\/\u0022\u003EMinsuk Kahng\u003C\/a\u003E (Ph.D. CS-CSE 2019) assisted on the project.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EProfessor\u0026nbsp;\u003Ca href=\u0022https:\/\/poloclub.github.io\/polochau\/\u0022\u003EPolo Chau\u003C\/a\u003E supervised the group and their work. His lab focuses on data science, human-centered AI, and visualization for social good.\u003C\/p\u003E\u003Cp\u003EAcceptance at CHI 2026 stems from the team winning the best poster award at the 2024 IEEE Visualization Conference. This recognition from one of the top venues in visualization research highlights Transformer Explainer\u2019s effectiveness in teaching how transformers work.\u003C\/p\u003E\u003Cp\u003E\u201cTransformer Explainer has reached over half a million learners worldwide,\u201d said Chau, a faculty member in the School of Computational Science and Engineering.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cI\u0027m thrilled to see it extend Georgia Tech\u0027s mission of expanding access to higher education, now to anyone with a web browser.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EWhile people use search engines, chatbots, and generative artificial intelligence tools every day, most don\u2019t know how they work. This sets unrealistic expectations for AI and leads to misuse. It also slows progress toward building new AI applications.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EGeorgia Tech researchers are making AI easier to understand through their work on Transformer Explainer. The free, online tool shows non-experts how ChatGPT, Claude, and other large language models (LLMs) process language.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/poloclub.github.io\/transformer-explainer\/\u0022\u003ETransformer Explainer\u003C\/a\u003E is easy to use and runs on any web browser. It quickly went viral after its debut, reaching 150,000 users in its first three months. More than 563,000 people worldwide have used the tool so far.\u003C\/p\u003E\u003Cp\u003EGlobal interest in Transformer Explainer continues when the team presents the tool at the 2026 Conference on Human Factors in Computing Systems (\u003Ca href=\u0022https:\/\/chi2026.acm.org\/\u0022\u003ECHI 2026\u003C\/a\u003E). CHI, the world\u2019s most prestigious conference on human-computer interaction, will take place in Barcelona, April 13-17.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech researchers are making AI easier to understand through their work on Transformer Explainer. The free, online tool shows non-experts how ChatGPT, Claude, and other large language models (LLMs) process language, improving AI literacy."}],"uid":"36319","created_gmt":"2026-03-31 16:42:57","changed_gmt":"2026-04-17 18:58:09","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-03-31T00:00:00-04:00","iso_date":"2026-03-31T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"679798":{"id":"679798","type":"image","title":"Transformer-Explainer-Head-Image.jpg","body":null,"created":"1774975392","gmt_created":"2026-03-31 16:43:12","changed":"1774975392","gmt_changed":"2026-03-31 16:43:12","alt":"CHI 2026 Transformer Explainer","file":{"fid":"264002","name":"Transformer-Explainer-Head-Image.jpg","image_path":"\/sites\/default\/files\/2026\/03\/31\/Transformer-Explainer-Head-Image.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/31\/Transformer-Explainer-Head-Image.jpg","mime":"image\/jpeg","size":120484,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/31\/Transformer-Explainer-Head-Image.jpg?itok=eryBAi-R"}},"679799":{"id":"679799","type":"image","title":"Transformer-Explainer-Text-Image.jpg","body":null,"created":"1774975428","gmt_created":"2026-03-31 16:43:48","changed":"1774975428","gmt_changed":"2026-03-31 16:43:48","alt":"CHI 2026 Transformer Explainer","file":{"fid":"264003","name":"Transformer-Explainer-Text-Image.jpg","image_path":"\/sites\/default\/files\/2026\/03\/31\/Transformer-Explainer-Text-Image.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/31\/Transformer-Explainer-Text-Image.jpg","mime":"image\/jpeg","size":69012,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/31\/Transformer-Explainer-Text-Image.jpg?itok=0B-WDInX"}}},"media_ids":["679798","679799"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/transformer-explainer-shows-how-ai-more-math-human","title":"Transformer Explainer Shows How AI is More Math than Human"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"130","name":"Alumni"},{"id":"194606","name":"Artificial Intelligence"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"},{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"187915","name":"go-researchnews"},{"id":"9153","name":"Research Horizons"},{"id":"10199","name":"Daily Digest"},{"id":"181991","name":"Georgia Tech News Center"},{"id":"170447","name":"Institute for Data Engineering and Science"},{"id":"176858","name":"machine learning center"},{"id":"9167","name":"machine learning"},{"id":"187812","name":"artificial intelligence (AI)"},{"id":"14646","name":"human-computer interaction"},{"id":"192863","name":"go-ai"},{"id":"194384","name":"Tech AI"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"689175":{"#nid":"689175","#data":{"type":"news","title":"Tech Swarms into Athens for Clean, Old-Fashioned Computing","body":[{"value":"\u003Cp\u003EThe in-state rivalry between the Yellow Jackets and the Bulldogs usually heats up when Georgia Tech visits the University of Georgia. However, one Saturday last month, the focus shifted from competition to collaboration.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe Georgia Scientific Computing Symposium (GSCS) held its annual meeting on February 21 in Athens. Since 2009, the event has hosted researchers from across the Peach State to showcase homegrown advances in scientific computing.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/haoningwu.github.io\/GSCS2026.html\u0022\u003EThe symposium\u003C\/a\u003E highlighted Georgia\u2019s reputation as a computing innovation hub. People from around the world come to Georgia universities to lead computing research. By advancing science, engineering, medicine, and technology, their work improves communities at home and abroad.\u003C\/p\u003E\u003Cp\u003EFaculty and students from Georgia Tech, UGA, Georgia State University, and Emory University presented at the symposium. Georgia Tech participants came from the colleges of Computing, Engineering, and Sciences.\u003C\/p\u003E\u003Cp\u003EThis year\u2019s organizers agreed to meet in Atlanta for the 2027 symposium. Georgia Tech\u2019s \u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering (CSE)\u003C\/a\u003E will host the 19th GSCS.\u003C\/p\u003E\u003Cp\u003E\u201cFrom healthcare to computer chip design, scientific computing underpins many of the technological advances we see in our lives,\u201d said Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~echow\/\u0022\u003EEdmond Chow\u003C\/a\u003E, associate chair of the School of CSE.\u003C\/p\u003E\u003Cp\u003E\u201cScientific computing provides the mathematical models, simulations, and data\u2011driven tools that make modern innovation possible. It allows people to analyze complex systems, test ideas virtually before building them, and make faster, more accurate decisions across nearly every sector of society.\u201d\u003C\/p\u003E\u003Cp\u003EProfessor\u0026nbsp;\u003Ca href=\u0022https:\/\/hmzhou.math.gatech.edu\/\u0022\u003EHaomin Zhou\u003C\/a\u003E and Assistant Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/itshelenxu.github.io\/\u0022\u003EHelen Xu\u003C\/a\u003E delivered two of the symposium\u2019s five plenary talks.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EZhou presented a new method for solving the Schr\u00f6dinger equation, a landmark equation in quantum mechanics. Drawing inspiration from the mathematics used in generative artificial intelligence models, his approach develops an algorithm that more effectively simulates waves, particle motion, and other physical systems.\u003C\/p\u003E\u003Cp\u003EXu focused on improving how computers move and organize data during complex calculations. Her work uses \u201ccache-friendly\u201d layouts that help computers access data more efficiently, boosting performance for scientific and engineering applications.\u003C\/p\u003E\u003Cp\u003E\u201cSpeaking at GSCS was a great opportunity,\u201d Xu said. \u201cThe symposium fostered connections within the scientific computing community and gave us a chance to share exciting research.\u201d\u003C\/p\u003E\u003Cp\u003EThe symposium showcased student work through a poster blitz and a poster session. During the blitz, 36 students each had one minute to introduce their research to the full audience. They then shared more details about their research during the poster session.\u003C\/p\u003E\u003Cp\u003EThe student projects showed the range of fields supported by scientific computing. The session also provided attendees with an opportunity to connect and expand their professional networks, helping grow the field\u2019s future impact.\u003C\/p\u003E\u003Cp\u003E\u201cAs an aerospace engineer by training and aspiring computational scientist, GSCS gave me the platform to network with other researchers in the field while showcasing my own research,\u201d said M.S. student \u003Cstrong\u003EKashvi Mundra\u003C\/strong\u003E.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cI was able to connect with scientists across different disciplines whose work intersects with my own in unexpected ways. Those conversations pushed my thinking beyond my own lab\u0027s perspective, helping me see my work on physics-informed machine learning for inverse problems in a broader scientific computing context.\u201d\u003C\/p\u003E\u003Cp\u003EGeorgia Tech students who presented posters included:\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbir Haque\u003C\/strong\u003E (CSE), \u003Cem\u003EMassively Parallel Random Phase Approximation Correlation Energy via Lanczos Quadrature\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAntonio Varagnolo\u003C\/strong\u003E (CSE), \u003Cem\u003EPhysics-Enhanced Deep Surrogates for the Phonon Boltzmann Transport Equation\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBen Burns\u003C\/strong\u003E (CSE), \u003Cem\u003EInfinite-Dimensional Stein Variational Inference with Derivative-Informed Neural Operators\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBen Wilfong\u003C\/strong\u003E (CSE), \u003Cem\u003EShocks without Shock Capturing; Compressible Flow at 1 quadrillion Degrees of Freedom without Loss of Accuracy\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDaniel Vickers\u003C\/strong\u003E (CSE), \u003Cem\u003EHighly-Parallel Fluid-Solid Interactions for Compressible Flows\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EEric Fowler\u003C\/strong\u003E (CSE), \u003Cem\u003EHigh-Performance Tensor Contractions in Computational Chemistry\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EHaoran Yan\u003C\/strong\u003E (Math), \u003Cem\u003EUnderstanding Denoising Autoencoders through the Manifold Hypothesis: A Geometric Perspective\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EKashvi Mundra\u003C\/strong\u003E (CSE), \u003Cem\u003EAutoregressive Multifidelity Neural Surrogate Modeling under Scarce Data Regimes\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESebasti\u00e1n Guti\u00e9rrez Hern\u00e1ndez\u003C\/strong\u003E (Math\/CSE), \u003Cem\u003EPDPO: Parametric Density Path Optimization\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EVivian Zhang\u003C\/strong\u003E (AE), \u003Cem\u003EMultifidelity Operator Inference: Non-Intrusive Reduced Order Modeling from Scarce Data\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EXian Mae Hadia\u003C\/strong\u003E (CSE), \u003Cem\u003EData Efficiency of Surrogate Models: Learning Physics Data from Full Field Data vs. Inductive Bias from Approximate PDE Solvers\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EXiangming Huang\u003C\/strong\u003E (CSE), \u003Cem\u003ENeural Operator Accelerated Evolutionary Strategies for PDE-Constraint Optimization\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EZhaiming Shen\u003C\/strong\u003E (Math), \u003Cem\u003EUnderstanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EZhongjie Shi\u003C\/strong\u003E (Math), \u003Cem\u003ETowards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs\u003C\/em\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe in-state rivalry between the Yellow Jackets and the Bulldogs usually heats up when Georgia Tech visits the University of Georgia. However, one Saturday last month, the focus shifted from competition to collaboration.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe Georgia Scientific Computing Symposium (GSCS) held its annual meeting on February 21 in Athens. Since 2009, the event has hosted researchers from across the Peach State to showcase homegrown advances in scientific computing.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/haoningwu.github.io\/GSCS2026.html\u0022\u003EThe symposium\u003C\/a\u003E highlighted Georgia\u2019s reputation as a computing innovation hub. People from around the world come to Georgia universities to lead computing research. By advancing science, engineering, medicine, and technology, their work improves communities at home and abroad.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Researchers from universities across Georgia, including Georgia Tech, set aside rivalry to collaborate at the 2026 Georgia Scientific Computing Symposium, highlighting the state\u2019s growing role as a hub for innovation in scientific computing."}],"uid":"36319","created_gmt":"2026-03-25 13:04:13","changed_gmt":"2026-03-25 19:41:06","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-03-25T00:00:00-04:00","iso_date":"2026-03-25T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"679732":{"id":"679732","type":"image","title":"GSCS-2026-Head-Image.jpeg","body":null,"created":"1774443866","gmt_created":"2026-03-25 13:04:26","changed":"1774443866","gmt_changed":"2026-03-25 13:04:26","alt":"2026 Georgia Scientific Computing Symposium","file":{"fid":"263927","name":"GSCS-2026-Head-Image.jpeg","image_path":"\/sites\/default\/files\/2026\/03\/25\/GSCS-2026-Head-Image.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/25\/GSCS-2026-Head-Image.jpeg","mime":"image\/jpeg","size":217081,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/25\/GSCS-2026-Head-Image.jpeg?itok=2Vs3GesS"}},"679733":{"id":"679733","type":"image","title":"Kashvi-Mundra-Poster.jpeg","body":null,"created":"1774443901","gmt_created":"2026-03-25 13:05:01","changed":"1774443901","gmt_changed":"2026-03-25 13:05:01","alt":"2026 Georgia Scientific Computing Symposium","file":{"fid":"263928","name":"Kashvi-Mundra-Poster.jpeg","image_path":"\/sites\/default\/files\/2026\/03\/25\/Kashvi-Mundra-Poster.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/25\/Kashvi-Mundra-Poster.jpeg","mime":"image\/jpeg","size":84134,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/25\/Kashvi-Mundra-Poster.jpeg?itok=i7BjGyOA"}}},"media_ids":["679732","679733"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/tech-swarms-athens-clean-old-fashioned-computing","title":"Tech Swarms into Athens for Clean, Old-Fashioned Computing"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"145","name":"Engineering"},{"id":"135","name":"Research"},{"id":"194611","name":"State Impact"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"9153","name":"Research Horizons"},{"id":"187915","name":"go-researchnews"},{"id":"181991","name":"Georgia Tech News Center"},{"id":"10199","name":"Daily Digest"},{"id":"168681","name":"scientific computing"},{"id":"194970","name":"2026 Georgia Scientific Computing Symposium"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39541","name":"Systems"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"688223":{"#nid":"688223","#data":{"type":"news","title":"Department of Energy Award to Power Nuclear Research With Machine Learning","body":[{"value":"\u003Cp\u003EThe future of clean energy depends on algorithms as much as it does atoms.\u003C\/p\u003E\u003Cp\u003EGeorgia Tech\u2019s\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/people\/qi-tang\u0022\u003E\u003Cstrong\u003EQi Tang\u003C\/strong\u003E\u003C\/a\u003E is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy (DOE), Tang\u2019s work brings clean, sustainable energy closer to reality.\u003C\/p\u003E\u003Cp\u003ETang has received an\u0026nbsp;\u003Ca href=\u0022https:\/\/science.osti.gov\/early-career\u0022\u003E\u003Cstrong\u003EEarly Career Research Program (ECRP) award\u003C\/strong\u003E\u003C\/a\u003E from the DOE Office of Science. The grant supports Tang with $875,000 disbursed over five years to craft ML and data processing tools that help scientists analyze massive datasets from nuclear experiments and simulations.\u003C\/p\u003E\u003Cp\u003ETang is the first faculty member from Georgia Tech\u2019s College of Computing and School of Computational Science and Engineering (CSE) to receive the ECRP. He is the seventh Georgia Tech researcher to earn the award and the only GT awardee among this year\u2019s 99 recipients.\u003C\/p\u003E\u003Cp\u003EMore than a milestone, the award reflects a shift in how nuclear research is done. Today, progress depends on computing and data science as much as on physics and engineering.\u003C\/p\u003E\u003Cp\u003E\u201cI am honored and excited to receive the ECRP award through DOE\u2019s Advanced Scientific Computing Research program, an organization I care about deeply,\u201d said Tang, an assistant professor in the School of CSE.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cI am grateful to my former colleagues at Los Alamos National Laboratory and collaborators at other national laboratories, including Lawrence Livermore, Sandia, and Argonne. I am also thankful for my Ph.D. students at Georgia Tech, whose dedication and creativity make this award possible.\u201d\u003C\/p\u003E\u003Cp\u003E[Related:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/new-faculty-applies-high-performance-computing-scientific-machine-learning-interests-studies\u0022\u003E\u003Cstrong\u003ENew Faculty Applies High-Performance Computing, Scientific Machine Learning Interests to Studies in Plasma Physics\u003C\/strong\u003E\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003EA problem in nuclear research is that fusion simulations are challenging to understand and use. These simulations generate enormous datasets that are too large to store, move, and analyze efficiently.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/pamspublic.science.energy.gov\/WebPAMSExternal\/Interface\/Common\/ViewPublicAbstract.aspx?rv=a756f612-3409-44b8-89ea-7421bf0840e5\u0026amp;rtc=24\u0026amp;PRoleId=10\u0022\u003E\u003Cstrong\u003EIn his ECRP proposal to DOE\u003C\/strong\u003E\u003C\/a\u003E, Tang introduced new ML methods to improve the analysis and storage of particle data.\u003C\/p\u003E\u003Cp\u003ETang\u2019s approach balances shrinking data so it is easier to store and transfer while preserving the most important scientific features. His multiscale ML models are informed by physics, so the reduced data still reflects how fusion systems really behave.\u003C\/p\u003E\u003Cp\u003EWith Tang\u2019s research, scientists can run larger, more realistic fusion models and analyze results more quickly. This accelerates progress toward practical fusion energy.\u003C\/p\u003E\u003Cp\u003E\u201cIn contrast to generic black-box-type compression tools, we aim at preserving the intrinsic structures of the particle dataset during the data reduction processes,\u201d Tang said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cTaking this approach, we can meet our goal of achieving high-fidelity preservation of critical physics with minimum loss of information.\u201d\u003C\/p\u003E\u003Cp\u003EComputing is essential in modern research because of the amount of data produced and captured from experiments and simulations. In the era of exascale supercomputers, data movement is a greater bottleneck than actual computation.\u003C\/p\u003E\u003Cp\u003EDOE operates three of the world\u2019s four exascale supercomputers. These machines can calculate one quintillion (a billion billion) operations per second.\u003C\/p\u003E\u003Cp\u003EThe exascale era began in 2022 with the launch of Frontier at Oak Ridge National Laboratory. Aurora followed in 2023 at Argonne National Laboratory. El Capitan arrived in 2024 at Lawrence Livermore National Laboratory.\u003C\/p\u003E\u003Cp\u003EWith Tang\u2019s data reduction approaches, all of DOE\u2019s supercomputers spend more time on science and less time waiting for data transfers.\u003C\/p\u003E\u003Cp\u003E\u201cQi\u2019s work in computational plasma physics and nuclear fusion modeling has been groundbreaking,\u201d said \u003Cstrong\u003EHaesun Park\u003C\/strong\u003E, Regents\u2019 Professor and Chair of the School of CSE.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cWe are proud of Qi and what this award means for him, Georgia Tech, and the Department of Energy toward leveraging computation to solve challenges in science and engineering, such as sustainable energy.\u0022\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Ch6\u003E\u003Cstrong\u003EPrevious Georgia Tech recipients of DOE Early Career Research Program awards include:\u003C\/strong\u003E\u003C\/h6\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.gatech.edu\/news\/2024\/09\/26\/doe-recognizes-georgia-tech-researchers-prestigious-early-career-awards\u0022\u003E\u003Cstrong\u003EItamar Kimchi\u003C\/strong\u003E\u003C\/a\u003E, assistant professor, School of Physics\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.gatech.edu\/news\/2024\/09\/26\/doe-recognizes-georgia-tech-researchers-prestigious-early-career-awards\u0022\u003E\u003Cstrong\u003ESourabh Saha\u003C\/strong\u003E\u003C\/a\u003E, assistant professor, George W. Woodruff School of Mechanical Engineering\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/cos.gatech.edu\/news\/wenjing-liao-awarded-doe-early-career-award-model-simplification-deep-learning\u0022\u003E\u003Cstrong\u003EWenjing Lao\u003C\/strong\u003E\u003C\/a\u003E, associate professor, School of Mathematics\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/chbe.gatech.edu\/news\/2018\/06\/professor-lively-receives-does-early-career-award\u0022\u003E\u003Cstrong\u003ERyan Lively\u003C\/strong\u003E\u003C\/a\u003E, Thomas C. DeLoach Professor, School of Chemical \u0026amp; Biomolecular Engineering\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.mse.gatech.edu\/people\/josh-kacher\u0022\u003E\u003Cstrong\u003EJosh Kacher\u003C\/strong\u003E\u003C\/a\u003E, associate professor, School of Materials Science and Engineering\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/khabar.com\/community-newsmakers\/devesh-ranjan-receives-early-career-award-from-u-s-department-of-energy\/\u0022\u003E\u003Cstrong\u003EDevesh Ranjan\u003C\/strong\u003E\u003C\/a\u003E, Eugene C. Gwaltney Jr. School Chair and professor, Woodruff School of Mechanical Engineering\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech\u2019s\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/people\/qi-tang\u0022\u003EQi Tang\u003C\/a\u003E is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy (DOE), Tang\u2019s work brings clean, sustainable energy closer to reality.\u003C\/p\u003E\u003Cp\u003ETang has received an\u0026nbsp;\u003Ca href=\u0022https:\/\/science.osti.gov\/early-career\u0022\u003EEarly Career Research Program (ECRP) award\u003C\/a\u003E from the DOE Office of Science. The grant supports Tang with $875,000 disbursed over five years to craft ML and data processing tools that help scientists analyze massive datasets from nuclear experiments and simulations.\u003C\/p\u003E\u003Cp\u003ETang is the first faculty member from Georgia Tech\u2019s College of Computing and School of Computational Science and Engineering (CSE) to receive the ECRP. He is the seventh Georgia Tech researcher to earn the award and the only GT awardee among this year\u2019s 99 recipients.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech\u0027s Qi Tang has received an Early Career Research Program award from the Department of Energy\u0027s Office of Science. The $875,000 grant supports Tang for five years to craft ML tools that analyze data from nuclear experiments and simulations. "}],"uid":"36319","created_gmt":"2026-02-12 15:11:55","changed_gmt":"2026-03-20 12:52:31","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-02-12T00:00:00-05:00","iso_date":"2026-02-12T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"679267":{"id":"679267","type":"image","title":"Qi-TangStory-Cover.jpg","body":null,"created":"1770909124","gmt_created":"2026-02-12 15:12:04","changed":"1770909124","gmt_changed":"2026-02-12 15:12:04","alt":"DOE ECRP Qi Tang","file":{"fid":"263400","name":"Qi-TangStory-Cover.jpg","image_path":"\/sites\/default\/files\/2026\/02\/12\/Qi-TangStory-Cover.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/12\/Qi-TangStory-Cover.jpg","mime":"image\/jpeg","size":125283,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/12\/Qi-TangStory-Cover.jpg?itok=mPLUykJZ"}}},"media_ids":["679267"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/department-energy-award-power-nuclear-research-machine-learning","title":"Department of Energy Award to Power Nuclear Research with Machine Learning"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"194606","name":"Artificial Intelligence"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"144","name":"Energy"},{"id":"135","name":"Research"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"9153","name":"Research Horizons"},{"id":"187915","name":"go-researchnews"},{"id":"10199","name":"Daily Digest"},{"id":"181991","name":"Georgia Tech News Center"},{"id":"9167","name":"machine learning"},{"id":"2556","name":"artificial intelligence"},{"id":"187812","name":"artificial intelligence (AI)"},{"id":"663","name":"Department of Energy"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39531","name":"Energy and Sustainable Infrastructure"}],"news_room_topics":[{"id":"71871","name":"Campus and Community"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"687813":{"#nid":"687813","#data":{"type":"news","title":"From Fusion to Self-Driving Cars, High Performance Computing and AI are Everywhere in 2026","body":[{"value":"\u003Cp\u003EWhile not as highlight-reel worthy as the Winter Olympics and the World Cup, experts expect high-performance computing (HPC) to have an even bigger impact on daily life in 2026.\u003C\/p\u003E\u003Cp\u003EGeorgia Tech researchers say HPC and artificial intelligence (AI) advances this year are poised to improve how people power their homes, design safer buildings, and travel through cities.\u003C\/p\u003E\u003Cp\u003EAccording to\u0026nbsp;\u003Ca href=\u0022https:\/\/tangqi.github.io\/\u0022\u003EQi Tang\u003C\/a\u003E, scientists will take progressive steps toward cleaner, sustainable energy through nuclear fusion in 2026.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cI am very hopeful about the role of advanced computing and AI in making fusion a clean energy source,\u201d said Tang, an assistant professor in the\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering (CSE)\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cFusion systems involve many interconnected processes happening across different scales. Modern simulations, combined with data-driven methods, allow us to bring these pieces together into a unified picture.\u201d\u003C\/p\u003E\u003Cp\u003ETang\u2019s research connects HPC and machine learning with fusion energy and plasma physics. This year, Tang is continuing work on large-scale nuclear fusion models.\u003C\/p\u003E\u003Cp\u003EOnly a few experimental fusion reactors exist worldwide compared to more than 400 nuclear fission reactors. Tang\u2019s work supports a broader effort to turn fusion from a promising idea into a practical energy source.\u003C\/p\u003E\u003Cp\u003ENuclear fusion occurs in plasma, the fourth state of matter, where gas is heated to millions of degrees. In this extreme state, electrons are stripped from atoms, creating a hot soup of fast-moving ions and free electrons. In plasma, hydrogen atoms overcome their natural electrical repulsion, collide, and fuse together. This releases energy that can power cities and homes.\u003C\/p\u003E\u003Cp\u003EComputers interpret extreme temperatures, densities, pressures, and plasma particle motion as massive datasets. Tang works to assimilate these data types from computer models and real-world experiments.\u003C\/p\u003E\u003Cp\u003ETo do this, he and other researchers rely on machine learning approaches to analyze data across models and experiments more quickly and to produce more accurate predictions. Over time, this will allow scientists to test and improve fusion reactor designs toward commercial use.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EBeyond energy and nuclear engineering,\u0026nbsp;\u003Ca href=\u0022https:\/\/pk.linkedin.com\/in\/umarkhayaz\u0022\u003EUmar Khayaz\u003C\/a\u003E sees broader impacts for HPC in 2026.\u003C\/p\u003E\u003Cp\u003E\u201cHPC is the need of the day in every field of engineering sciences, physics, biology, and economics,\u201d said Khayaz, a CSE Ph.D. student in the\u0026nbsp;\u003Ca href=\u0022https:\/\/ce.gatech.edu\/\u0022\u003ESchool of Civil and Environmental Engineering\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cHPC is important enough to say that we need to employ resources to also solve social problems.\u201d\u003C\/p\u003E\u003Cp\u003EKhayaz studies dynamic fracture and phase-field modeling. These areas explore how materials break under sudden, rapid loads.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ELike nuclear fusion, Khayaz says dynamic fracture problems are complex and data-intensive. In 2026, he expects to see more computing resources and computational capabilities devoted to understanding these problems and other emerging civil engineering challenges.\u003C\/p\u003E\u003Cp\u003ECSE Ph.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/ahren09.github.io\/\u0022\u003EYiqiao (Ahren) Jin\u003C\/a\u003E sees a similar relationship between infrastructure and self-driving vehicles. He believes AI will innovate this area in 2026.\u003C\/p\u003E\u003Cp\u003EAt Georgia Tech, Jin develops efficient multimodal AI systems. An autonomous vehicle is a multimodal system that uses camera video, laser sensors, language instructions, and other inputs to navigate city streets under changing scenarios like traffic and weather patterns.\u003C\/p\u003E\u003Cp\u003EJin says multimodal research will move beyond performance benchmarks this year. This shift will lead to computer systems that can reason despite uncertainty and explain their decisions. In result, engineers will redefine how they evaluate and deploy autonomous systems in safety-critical settings.\u003C\/p\u003E\u003Cp\u003E\u201cMany foundational problems in perception, multimodal reasoning, and agent coordination are being actively addressed in 2026. These advances enable a transition from isolated autonomous systems to safer, coordinated autonomous vehicle fleets,\u201d Jin said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cAs these systems scale, they have the potential to fundamentally improve transportation safety and efficiency.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EWhile not as highlight-reel worthy as the Winter Olympics and the World Cup, experts expect high-performance computing (HPC) to have an even bigger impact on daily life in 2026.\u003C\/p\u003E\u003Cp\u003EGeorgia Tech researchers say HPC and artificial intelligence (AI) advances this year are poised to improve how people power their homes, design safer buildings, and travel through cities.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech researchers say HPC and artificial intelligence (AI) advances this year are poised to improve how people power their homes, design safer buildings, and travel through cities."}],"uid":"36319","created_gmt":"2026-01-29 14:30:57","changed_gmt":"2026-02-19 15:53:29","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-01-29T00:00:00-05:00","iso_date":"2026-01-29T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"679125":{"id":"679125","type":"image","title":"CSE-in-2026_2.jpg","body":null,"created":"1769704332","gmt_created":"2026-01-29 16:32:12","changed":"1769704332","gmt_changed":"2026-01-29 16:32:12","alt":"CSE in 2026","file":{"fid":"263246","name":"CSE-in-2026_2.jpg","image_path":"\/sites\/default\/files\/2026\/01\/29\/CSE-in-2026_2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/01\/29\/CSE-in-2026_2.jpg","mime":"image\/jpeg","size":348721,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/01\/29\/CSE-in-2026_2.jpg?itok=JDq9Sr_p"}}},"media_ids":["679125"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/fusion-self-driving-cars-high-performance-computing-and-ai-are-everywhere-2026","title":"From Fusion to Self-Driving Cars, High Performance Computing and AI are Everywhere in 2026"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"194606","name":"Artificial Intelligence"},{"id":"142","name":"City Planning, Transportation, and Urban Growth"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"144","name":"Energy"},{"id":"135","name":"Research"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"172288","name":"School of Computational Science Engineering"},{"id":"167864","name":"School of Civil and Environmental Engineering"},{"id":"594","name":"college of engineering"},{"id":"9153","name":"Research Horizons"},{"id":"187915","name":"go-researchnews"},{"id":"10199","name":"Daily Digest"},{"id":"181991","name":"Georgia Tech News Center"},{"id":"15030","name":"high-performance computing"},{"id":"187812","name":"artificial intelligence (AI)"},{"id":"9167","name":"machine learning"},{"id":"192863","name":"go-ai"},{"id":"194384","name":"Tech AI"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39531","name":"Energy and Sustainable Infrastructure"},{"id":"39541","name":"Systems"}],"news_room_topics":[{"id":"71881","name":"Science and Technology"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"686197":{"#nid":"686197","#data":{"type":"news","title":"New Software Center Director to Lead Next Wave of Scientific Discovery","body":[{"value":"\u003Cp\u003EScientists across Georgia Tech rely on powerful software tools to propel breakthroughs in fields ranging from physics to biology. Now, software experts who make that research possible are gaining a new leader.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe College of Computing named Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/vuduc.org\/v2\/\u0022\u003ERich Vuduc\u003C\/a\u003E as director of the Center for Scientific Software Engineering (\u003Ca href=\u0022https:\/\/ssecenter.cc.gatech.edu\/\u0022\u003ECSSE\u003C\/a\u003E). The Georgia Tech hub is dedicated to building reliable, high-performance software for scientists. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EUnder Vuduc\u2019s leadership, CSSE strives to accelerate the pace and increase the quality of scientific discovery by developing custom software tools and best practices tailored to researchers\u2019 needs.\u003C\/p\u003E\u003Cp\u003E\u201cThere is a reproducibility and reliability problem right now with scientific software,\u201d Vuduc said. \u201cThe promise of CSSE is to leverage capabilities shared between Georgia Tech, Schmidt Sciences, and industry experts to address this problem.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIssues arise because scientists often need to develop their own software for experiments or data analysis. However, troubleshooting coding issues and other bugs can slow down research.\u003C\/p\u003E\u003Cp\u003ETo assist these scientists, CSSE receives their input to create custom software tools and best practices. The center employs professional software engineers who build and deliver products tailor-made to the needs of researchers at Georgia Tech and broader scientific communities.\u003C\/p\u003E\u003Cp\u003EBeyond its research focus, CSSE helps Georgia Tech fulfill its educational mission. The center provides students with direct access and exposure to real-world software engineering.\u003C\/p\u003E\u003Cp\u003EAs the center enters its third year, Vuduc wants to better prepare students for employment by enhancing their hands-on experience while learning from CSSE engineers.\u003C\/p\u003E\u003Cp\u003ETo achieve this goal, Vuduc is working to establish a \u003Ca href=\u0022https:\/\/gatech.infoready4.com\/#competitionDetail\/1999204\u0022\u003EPh.D. fellowship program\u003C\/a\u003E in which CSSE engineers mentor students. This program would connect academic inquiry with industry expertise, creating the next generation of dynamic leaders in computational science. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EVuduc also envisions pairing CSSE with Georgia Tech\u2019s\u0026nbsp;\u003Ca href=\u0022https:\/\/vip.gatech.edu\/\u0022\u003EVertically Integrated Projects (VIP) program\u003C\/a\u003E. This approach would allow undergraduate students to earn class credit while working with CSSE engineers on large software engineering projects spanning multiple semesters.\u003C\/p\u003E\u003Cp\u003E\u201cThe center gives our students access to something that is very unique to find in a university environment,\u201d Vuduc said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cThe software engineers in CSSE mostly come from industry. They have over 65 years of combined experience doing real-world software engineering that students can learn from.\u201d\u003C\/p\u003E\u003Cp\u003EVuduc is a 2010 recipient of the\u0026nbsp;\u003Ca href=\u0022https:\/\/awards.acm.org\/bell\u0022\u003EGordon Bell Prize\u003C\/a\u003E and a leading expert in high-performance computing (HPC). He was a finalist for the award in 2020 and 2022.\u003C\/p\u003E\u003Cp\u003EThe Gordon Bell Prize, often referred to as the Nobel Prize in supercomputing due to the scope and magnitude of research it recognizes, celebrates achievement in HPC research and application.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EVuduc joined Georgia Tech in 2007 as one of the first faculty hired for the new Division of Computational Science and Engineering (CSE). Not a stranger of leading new units, he saw CSE begin offering M.S. and Ph.D. degrees in 2008 and\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/founding-school\u0022\u003Eattain school status in 2010\u003C\/a\u003E. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003ESince 2021, Vuduc has served as co-director of the Center for Research into Novel Computing Hierarchies (\u003Ca href=\u0022https:\/\/crnch.gatech.edu\/\u0022\u003ECRNCH\u003C\/a\u003E).\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ECRNCH is an interdisciplinary research center at Georgia Tech that explores technologies and approaches that will usher the next generation of computing. Areas CRNCH studies include quantum computing, brain-inspired computing, and approximate computing.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EVuduc will step down as CRNCH co-director to fulfill his role as CSSE director. The College of Computing will lead a search for CRNCH\u2019s next co-director.\u003C\/p\u003E\u003Cp\u003E\u201cIn a sense, the CRNCH to CSSE transition was partly a natural one because one thing that contributes to software challenges is that hardware platforms are also changing and evolving very rapidly,\u201d said Vuduc.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cPeople are exploring radically new hardware systems and we will have to write software configured for those too. Centers, like CRNCH and CSSE, strongly position Georgia Tech to lead these endeavors.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAlessandro (Alex) Orso\u003C\/strong\u003E, the previous CSSE director, departed Georgia Tech earlier this year to become\u0026nbsp;\u003Ca href=\u0022https:\/\/news.uga.edu\/alex-orso-named-dean-of-ugas-college-of-engineering\/\u0022\u003Edean of the University of Georgia\u2019s College of Engineering\u003C\/a\u003E. Orso and Distinguished Professor \u003Cstrong\u003EIrfan Essa\u003C\/strong\u003E wrote the proposal to bring CSSE to Georgia Tech.\u003C\/p\u003E\u003Cp\u003EGeorgia Tech formed CSSE in 2022 after securing an $11 million grant from\u0026nbsp;\u003Ca href=\u0022https:\/\/www.schmidtsciences.org\/\u0022\u003ESchmidt Sciences\u003C\/a\u003E. Former Google CEO Eric Schmidt and his spouse, Wendy Schmidt, founded the philanthropic venture that funds science and technology research and talent networking programs.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EGeorgia Tech\u2019s CSSE is part of Schmidt Sciences\u2019\u0026nbsp;\u003Ca href=\u0022https:\/\/www.schmidtsciences.org\/viss\/\u0022\u003EVirtual Institute for Scientific Software (VISS) program\u003C\/a\u003E. This network helps scientists obtain more robust, flexible, scalable open-source software.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ESchmidt Sciences is investing $40 million in VISS over five years at four universities: Georgia Tech, University of Washington, Johns Hopkins University, and University of Cambridge.\u003C\/p\u003E\u003Cp\u003ECSSE uses the funding to employ a software engineering lead, three senior and two junior software engineers. The Schmidt Sciences grant equips these engineers with computing resources to build scientific software. Along with the director, an advisory board guides the group\u2019s work to meet the point of need for scientists in the field.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cI am grateful to Schmidt Sciences for their support of CSSE. It aligns with our college\u2019s strategic goals and expertise in scientific software, and I am delighted that Rich has agreed to take on this important role,\u201d said Vivek Sarkar, Dean and John P. Imlay Jr. Chair of Computing.\u003C\/p\u003E\u003Cp\u003E\u201cI know that Rich is committed to growing CSSE\u0027s internal and external visibility and long-term sustainability. I am confident that he will also help further socialize CSSE among internal stakeholders across Georgia Tech.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EScientists across Georgia Tech rely on powerful software tools to propel breakthroughs in fields ranging from physics to biology. Now, software experts who make that research possible are gaining a new leader.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe College of Computing named Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/vuduc.org\/v2\/\u0022\u003ERich Vuduc\u003C\/a\u003E as director of the Center for Scientific Software Engineering (\u003Ca href=\u0022https:\/\/ssecenter.cc.gatech.edu\/\u0022\u003ECSSE\u003C\/a\u003E). The Georgia Tech hub is dedicated to building reliable, high-performance software for scientists. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EUnder Vuduc\u2019s leadership, CSSE strives to accelerate the pace and increase the quality of scientific discovery by developing custom software tools and best practices tailored to researchers\u2019 needs.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The College of Computing named Professor Rich Vuduc as director of the Center for Scientific Software Engineering (CSSE). The Georgia Tech hub is dedicated to building reliable, high-performance software for scientists.  "}],"uid":"36319","created_gmt":"2025-11-05 14:01:46","changed_gmt":"2026-01-09 13:38:07","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2025-11-03T00:00:00-05:00","iso_date":"2025-11-03T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"678546":{"id":"678546","type":"image","title":"Vuduc-CSSE-Director.jpg","body":null,"created":"1762351373","gmt_created":"2025-11-05 14:02:53","changed":"1762351373","gmt_changed":"2025-11-05 14:02:53","alt":"Rich Vuduc CSSE Director","file":{"fid":"262598","name":"Vuduc-CSSE-Director.jpg","image_path":"\/sites\/default\/files\/2025\/11\/05\/Vuduc-CSSE-Director.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/11\/05\/Vuduc-CSSE-Director.jpg","mime":"image\/jpeg","size":82857,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/11\/05\/Vuduc-CSSE-Director.jpg?itok=o-JZUe-T"}}},"media_ids":["678546"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/new-software-center-director-lead-next-wave-scientific-discovery","title":"New Software Center Director to Lead Next Wave of Scientific Discovery"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"172288","name":"School of Computational Science Engineering"},{"id":"187915","name":"go-researchnews"},{"id":"181991","name":"Georgia Tech News Center"},{"id":"10199","name":"Daily Digest"},{"id":"183717","name":"Center for Research into Novel Computing Hierarchies"},{"id":"15030","name":"high-performance computing"},{"id":"170965","name":"software engineering"},{"id":"194841","name":"Center for Scientific Software Engineering"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[{"id":"71871","name":"Campus and Community"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"686843":{"#nid":"686843","#data":{"type":"news","title":"NSF Grant Funds Protein Research for Drug Discovery and Personalized Medicine","body":[{"value":"\u003Cp\u003EProteins, including antibodies, hemoglobin, and insulin, power nearly every vital aspect of life. Breakthroughs in protein research are producing vaccines, resilient crops, bioenergy sources, and other innovative technologies.\u003C\/p\u003E\u003Cp\u003EDespite their importance, most of what scientists know about proteins only comes from a small sample size. This stands in the way of fully understanding how most proteins work and unlocking their full potential.\u003C\/p\u003E\u003Cp\u003EGeorgia Tech\u2019s \u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~yunan\/\u0022\u003EYunan Luo\u003C\/a\u003E believes artificial intelligence (AI) could fill this knowledge gap. The National Science Foundation agrees. Luo is the recipient of an NSF Faculty Early Career Development (\u003Ca href=\u0022https:\/\/www.nsf.gov\/funding\/opportunities\/career-faculty-early-career-development-program\u0022\u003ECAREER\u003C\/a\u003E) award.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cSo much of biology depends on knowing what proteins do, but decades of research have concentrated on a relatively small set of well-studied proteins. This imbalance in scientific attention leads to a distorted view of the biological landscape that\u0026nbsp;quietly shapes our data and our algorithms,\u201d Luo said.\u003C\/p\u003E\u003Cp\u003E\u201cMy group\u2019s goal is to build machine learning (ML) models that actively close this gap by generating trustworthy\u0026nbsp;function predictions for the many proteins that remain understudied.\u201d\u003C\/p\u003E\u003Cp\u003E[Related: \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/faculty-use-ai-protein-design-and-discovery-support-18-million-nih-grant\u0022\u003EYunan Luo to use AI for Protein Design and Discovery with Support of $1.8 Million NIH Grant\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003EIn his \u003Ca href=\u0022https:\/\/www.nsf.gov\/awardsearch\/show-award\/?AWD_ID=2442063\u0026amp;HistoricalAwards=false\u0022\u003Eproposal to NSF\u003C\/a\u003E, Luo coined this rich-get-richer effect \u201cannotation inequality.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EOne problem of annotation inequality is that it slows progress in disease prognosis, drug discovery, and other critical biomedical areas. It is challenging to innovate the few proteins that scientists already know so much about.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EA cascading effect of annotation inequality is that it diminishes the effectiveness of studying proteins with\u0026nbsp;AI. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAI methods learn from existing experimental data. Datasets skewed toward well-known proteins propagate and become entrenched in models. Over time, this makes it harder for computers to research understudied proteins.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cProtein annotation inequality creates an effect analogous to a vast library where 95% of patrons only read the top 5% popular books, leaving the rest of the collection to gather dust,\u201d Luo said.\u003C\/p\u003E\u003Cp\u003E\u201cThis has resulted in knowledge disparities across proteins in current literature and databases, biasing our understanding of protein functions.\u201d\u003C\/p\u003E\u003Cp\u003EThe NSF CAREER award will fund Luo with over $770,000 for the next five years to tackle head-on the problem of protein annotation inequality.\u003C\/p\u003E\u003Cp\u003ELuo will use the grant to build an accurate, unbiased protein function prediction framework at scale. His project aims to:\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EReveal how annotation inequality affects protein function prediction systems\u003C\/li\u003E\u003Cli\u003ECreate ML techniques suited for biological data, which is often noisy, incomplete, and imbalanced \u0026nbsp;\u003C\/li\u003E\u003Cli\u003EIntegrate data and ML models into a scalable framework to accelerate discoveries involving understudied proteins\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EMore enduring than the ML framework, Luo will leverage the NSF award to support educational and outreach programs. His goal is to groom the next generation of researchers to study other challenges in computational biology, not just the annotation inequality problem.\u003C\/p\u003E\u003Cp\u003ELuo teaches graduate and undergraduate courses focused on computational biology and ML. Problems and methods developed through the CAREER project can be used as course material in his classes.\u003C\/p\u003E\u003Cp\u003ELuo also championed collaboration with Georgia Tech\u2019s Center for Education Integrating Science, Mathematics, and Computing (\u003Ca href=\u0022https:\/\/www.ceismc.gatech.edu\/\u0022\u003ECEISMC\u003C\/a\u003E) in his proposal.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThrough this partnership, local high school teachers and students would gain access to his data and models. This promotes deeper learning of biology and data science through hands-on experience with real-world tools. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003ELuo sees reaching students and the community as a way of paying forward the support he received from Georgia Tech colleagues.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cI am incredibly grateful for this recognition from the NSF,\u201d said Luo, an assistant professor in the \u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E (CSE).\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cThis would not have been possible without my students and collaborators, whose hard work laid the groundwork for this proposal.\u201d\u003C\/p\u003E\u003Cp\u003ELuo praised CSE faculty members \u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~badityap\/\u0022\u003EB. Aditya Prakash\u003C\/a\u003E, \u003Ca href=\u0022https:\/\/xiuweizhang.wordpress.com\/\u0022\u003EXiuwei Zhang\u003C\/a\u003E, and \u003Ca href=\u0022http:\/\/chaozhang.org\/\u0022\u003EChao Zhang\u003C\/a\u003E for their guidance. All three study \u003Ca href=\u0022https:\/\/cse.gatech.edu\/artificial-intelligence-and-machine-learning\u0022\u003Emachine learning\u003C\/a\u003E and \u003Ca href=\u0022https:\/\/cse.gatech.edu\/computational-bioscience-and-biomedicine\u0022\u003Ecomputational bioscience\u003C\/a\u003E, two of \u003Ca href=\u0022https:\/\/cse.gatech.edu\/research\u0022\u003ECSE\u2019s five core research areas\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ELuo also thanked \u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~hpark\/\u0022\u003EHaesun Park\u003C\/a\u003E for her support and recommendation for the CAREER award. Park is a Regents\u2019 Professor and the chair of the School of CSE.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EProteins, including antibodies, hemoglobin, and insulin, power nearly every vital aspect of life. Breakthroughs in protein research are producing vaccines, resilient crops, bioenergy sources, and other innovative technologies.\u003C\/p\u003E\u003Cp\u003EDespite their importance, most of what scientists know about proteins only comes from a small sample size. This stands in the way of fully understanding how most proteins work and unlocking their full potential.\u003C\/p\u003E\u003Cp\u003EGeorgia Tech\u2019s \u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~yunan\/\u0022\u003EYunan Luo\u003C\/a\u003E believes artificial intelligence (AI) could fill this knowledge gap. The National Science Foundation agrees. Luo is the recipient of an NSF Faculty Early Career Development (\u003Ca href=\u0022https:\/\/www.nsf.gov\/funding\/opportunities\/career-faculty-early-career-development-program\u0022\u003ECAREER\u003C\/a\u003E) award.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Yunan Luo is the recipient of an NSF Faculty Early Career Development (CAREER) award to use artificial intelligence to solve the protein annotation inequality problem."}],"uid":"36319","created_gmt":"2025-12-10 16:57:22","changed_gmt":"2026-01-09 13:37:31","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2025-12-10T00:00:00-05:00","iso_date":"2025-12-10T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"678817":{"id":"678817","type":"image","title":"Yunan-Luo-NSF-CAREER_1.jpg","body":null,"created":"1765385865","gmt_created":"2025-12-10 16:57:45","changed":"1765385865","gmt_changed":"2025-12-10 16:57:45","alt":"Yunan Luo NSF CAREER Award","file":{"fid":"262902","name":"Yunan-Luo-NSF-CAREER_1.jpg","image_path":"\/sites\/default\/files\/2025\/12\/10\/Yunan-Luo-NSF-CAREER_1.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/12\/10\/Yunan-Luo-NSF-CAREER_1.jpg","mime":"image\/jpeg","size":108350,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/12\/10\/Yunan-Luo-NSF-CAREER_1.jpg?itok=j83dW4Sn"}},"678818":{"id":"678818","type":"image","title":"Yunan-Luo-NSF-CAREER_2.jpg","body":null,"created":"1765385967","gmt_created":"2025-12-10 16:59:27","changed":"1765385967","gmt_changed":"2025-12-10 16:59:27","alt":"Yunan Luo NSF CAREER Award","file":{"fid":"262903","name":"Yunan-Luo-NSF-CAREER_2.jpg","image_path":"\/sites\/default\/files\/2025\/12\/10\/Yunan-Luo-NSF-CAREER_2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/12\/10\/Yunan-Luo-NSF-CAREER_2.jpg","mime":"image\/jpeg","size":100260,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/12\/10\/Yunan-Luo-NSF-CAREER_2.jpg?itok=CShGR6nJ"}}},"media_ids":["678817","678818"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/nsf-grant-funds-protein-research-drug-discovery-and-personalized-medicine","title":"NSF Grant Funds Protein Research for Drug Discovery and Personalized Medicine"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"194606","name":"Artificial Intelligence"},{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"146","name":"Life Sciences and Biology"},{"id":"135","name":"Research"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"9153","name":"Research Horizons"},{"id":"187915","name":"go-researchnews"},{"id":"10199","name":"Daily Digest"},{"id":"181991","name":"Georgia Tech News Center"},{"id":"9167","name":"machine learning"},{"id":"187812","name":"artificial intelligence (AI)"},{"id":"2556","name":"artificial intelligence"},{"id":"362","name":"National Science Foundation"},{"id":"191934","name":"National Science Foundation (NSF)"},{"id":"170447","name":"Institute for Data Engineering and Science"},{"id":"176858","name":"machine learning center"},{"id":"173894","name":"ML@GT"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[{"id":"71871","name":"Campus and Community"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"686871":{"#nid":"686871","#data":{"type":"news","title":"Meet CSE Profile: Ph.D. Graduate Ziqi Zhang","body":[{"value":"\u003Cp\u003EPh.D. student \u003Cstrong\u003EZiqi Zhang\u003C\/strong\u003E has built a career blending machine learning with single-cell biology. His work helps scientists study cellular mechanisms that advance disease research and drug development.\u003C\/p\u003E\u003Cp\u003EThough\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/award-winning-computer-models-propel-research-cellular-differentiation\u0022\u003Edecorated with awards\u003C\/a\u003E and appearances in leading journals, Zhang will achieve his greatest accomplishment tonight at McCamish Pavilion. He will join the Class of 2025 in walking across the stage, receiving diplomas, and graduating from Georgia Tech.\u003C\/p\u003E\u003Cp\u003EBefore he \u201cgets out\u201d of Georgia Tech, we interviewed Zhang to learn more about his Ph.D. journey and where his degree will take him next.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EGraduate:\u003C\/strong\u003E\u0026nbsp;\u003Ca href=\u0022https:\/\/peterzzq.github.io\/\u0022\u003EZiqi Zhang\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EResearch Interests:\u003C\/strong\u003E Machine learning, foundational models, cellular mechanisms, single-cell gene sequencing, gene regulatory networks\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EEducation:\u003C\/strong\u003E Ph.D. in Computational Science and Engineering\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EFaculty Advisor\u003C\/strong\u003E: School of CSE J.Z. Liang Early-Career Associate Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/xiuweizhang.wordpress.com\/\u0022\u003EXiuwei Zhang\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhat persuaded you to study at Georgia Tech?\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EI chose Georgia Tech because it is one of the top engineering institutions in the United States, known for its strength in machine learning and data science. The university offers exceptional research resources and the opportunity to work with leading scholars in my field. Georgia Tech also has very good research infrastructure. The \u003Ca href=\u0022https:\/\/cse.gatech.edu\/coda\u0022\u003ECoda Building\u003C\/a\u003E is one of the most well-designed and productive research environments I have experienced. Having access to such a space has been a genuine privilege.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EHow has working on your CSE degree helped you so far in your career?\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EWorking toward my CSE degree has been instrumental in my career development. As an interdisciplinary program, CSE has equipped me with strong computational skills while also deepening my understanding of key application domains. This breadth of training has opened more opportunities during my job and internship searches. In addition, CSE community events, such as\u0026nbsp;\u003Ca href=\u0022https:\/\/hotcse.gatech.edu\/\u0022\u003EHotCSE\u003C\/a\u003E, the weekly coffee hour, and faculty recruiting activities, have helped me strengthen my scientific communication skills, which are essential for my long-term career growth.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhat research project from Georgia Tech are you most proud of?\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EMy favorite research project was\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nature.com\/articles\/s41467-023-36066-2\u0022\u003EscMoMaT\u003C\/a\u003E, a matrix tri-factorization algorithm for single-cell data integration. I invested a significant amount of time and effort into this work, iterating on the model many times. I\u2019m very proud that it ultimately evolved into a clean, robust, and elegant algorithm.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhat advice would you give someone interested in graduate school?\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EIt is important to find an advisor who is supportive and genuinely invested in your career development. A Ph.D. is not an easy journey, and you will inevitably encounter challenges along the way. Having an advisor who can provide thoughtful guidance and dedicated mentorship is one of the most crucial factors in helping you navigate those difficulties.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhat is your most favorite memory from Georgia Tech?\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ECSE\u2019s new student campus visit day every year was one of my favorite times of the year. It was always fun to meet new people, have good food, and enjoy the beautiful view from the Coda rooftop.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhat are your plans after graduation?\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EI plan to keep working in academia after graduation. I\u2019m on the job hunt, currently applying for positions and preparing for interviews.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EPh.D. student \u003Cstrong\u003EZiqi Zhang\u003C\/strong\u003E has built a career blending machine learning with single-cell biology. His work helps scientists study cellular mechanisms that advance disease research and drug development.\u003C\/p\u003E\u003Cp\u003EThough\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/award-winning-computer-models-propel-research-cellular-differentiation\u0022\u003Edecorated with awards\u003C\/a\u003E and appearances in leading journals, Zhang will achieve his greatest accomplishment tonight at McCamish Pavilion. He will join the Class of 2025 in walking across the stage, receiving diplomas, and graduating from Georgia Tech.\u003C\/p\u003E\u003Cp\u003EBefore he \u201cgets out\u201d of Georgia Tech, we interviewed Zhang to learn more about his Ph.D. journey and where his degree will take him next.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Ph.D. graduate Ziqi Zhang will join the Class of 2025 in walking across the stage, receiving diplomas, and graduating from Georgia Tech."}],"uid":"36319","created_gmt":"2025-12-11 15:58:37","changed_gmt":"2026-01-09 13:36:26","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2025-12-11T00:00:00-05:00","iso_date":"2025-12-11T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"678827":{"id":"678827","type":"image","title":"Meet-CSE_Ziqi-Zhang.jpg","body":null,"created":"1765468731","gmt_created":"2025-12-11 15:58:51","changed":"1765468731","gmt_changed":"2025-12-11 15:58:51","alt":"Meet CSE Ziqi Zhang","file":{"fid":"262915","name":"Meet-CSE_Ziqi-Zhang.jpg","image_path":"\/sites\/default\/files\/2025\/12\/11\/Meet-CSE_Ziqi-Zhang.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/12\/11\/Meet-CSE_Ziqi-Zhang.jpg","mime":"image\/jpeg","size":119733,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/12\/11\/Meet-CSE_Ziqi-Zhang.jpg?itok=LsnALgbn"}}},"media_ids":["678827"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"130","name":"Alumni"},{"id":"194606","name":"Artificial Intelligence"},{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"193157","name":"Student Honors and Achievements"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"194880","name":"2025 fall commencement"},{"id":"9167","name":"machine learning"},{"id":"2556","name":"artificial intelligence"},{"id":"187812","name":"artificial intelligence (AI)"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[{"id":"71871","name":"Campus and Community"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"686984":{"#nid":"686984","#data":{"type":"news","title":"Community and Collaboration Shape the Class of 2025","body":[{"value":"\u003Cp\u003EJust as it takes a village to raise a child, it takes a community of faculty, mentors, research collaborators, and staff to raise a Georgia Tech graduate.\u003C\/p\u003E\u003Cp\u003EThe Yellow Jacket community swarmed campus for the final time of the fall semester to celebrate Commencement ceremonies held Dec. 11 to 13. Graduates from the School of Computational Science and Engineering (CSE) were among the 7,177 new alumni \u201cgetting out\u201d of Tech. \u0026nbsp; \u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cWe are immensely proud of School of CSE and CSE programs graduates in the Class of 2025,\u201d said Haesun Park, Regents\u2019 Professor and Chair of the School of CSE.\u003C\/p\u003E\u003Cp\u003E\u201cOur collaborative approach to CSE education has prepared these graduates to attain roles in academia, national labs, industry, government, and beyond, where they will lead the next generation of interdisciplinary research.\u201d\u003C\/p\u003E\u003Cp\u003EAlong with administering its flagship CSE Ph.D. and M.S. CSE programs, the School of CSE offers doctoral degrees in computer science and machine learning. Ph.D. graduates who received their diplomas and doctoral hoods on Dec. 11 at McCamish Pavilion included:\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/grantbruer\u0022\u003EGrant Bruer\u003C\/a\u003E (Ph.D. CSE-CSE 2025), advised by School of CSE Professor and Associate Chair Edmond Chow\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.jinchoi.xyz\/\u0022\u003EDongjin Choi\u003C\/a\u003E (Ph.D. CSE-CSE 2025), advised by School of CSE Regents\u2019 Professor and Chair Haesun Park\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/ae.gatech.edu\/event\/2023\/06\/27\/phd-proposal-hyungu-choi\u0022\u003EHyungu Choi\u003C\/a\u003E (Ph.D. CSE-AE 2025), advised by Daniel Guggenheim School of Aerospace Engineering Regents\u2019 Professor Dimitri Mavris\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EMaxfield Comstock\u003C\/strong\u003E (Ph.D. CSE-CSE 2025), advised by Elizabeth Cherry, College of Computing Associate Dean for Graduate Education and School of CSE Associate Professor\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/dilab.gatech.edu\/andrew-hornback\/\u0022\u003EAndrew Hornback\u003C\/a\u003E (Ph.D. CS-CSE 2025), co-advised by School of CSE Assistant Professor Yunan Luo and Wallace H. Coulter Department of Biomedical Engineering Professor May Wang\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/grad.gatech.edu\/events\/phd-defense-ayush-jain\u0022\u003EAyush Jain\u003C\/a\u003E (Ph.D. CSE-MSE 2025), advised by School of Materials Science and Engineering Regents\u2019 Entrepreneur and Professor Rampi Ramprasad\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/anurendk\/\u0022\u003EAnurendra Kumar\u003C\/a\u003E (Ph.D. CS-CSE 2025), co-advised by School of CSE J.Z. Liang Early Career Associate Professor Xiuwei Zhang and Wallace H. Coulter Department of Biomedical Engineering Professor Saurabh Sinha\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/jxie1997.github.io\/\u0022\u003EJiajia Xie\u003C\/a\u003E (Ph.D. CSE-BME 2025), advised by Wallace H. Coulter Department of Biomedical Engineering Associate Professor Cassie Mitchell\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/night-chen.github.io\/\u0022\u003EYuchen Zhuang\u003C\/a\u003E (Ph.D. ML-CSE 2025), advised by School of CSE Edenfield Early Career Associate Professor Chao Zhang\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/peterzzq.github.io\/\u0022\u003EZiqi Zhang\u003C\/a\u003E (Ph.D. CSE-CSE 2025), advised by School of CSE J.Z. Liang Early Career Associate Professor Xiuwei Zhang\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003ESeven CSE Ph.D. students completed M.S. degrees this fall and will continue their studies at Georgia Tech. They are:\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/jesusarias9\/\u0022\u003EJesus Arias\u003C\/a\u003E (M.S. CSE-CSE 2025), advised by School of CSE Assistant Professor Spencer Bryngelson\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/isabel-berry\/\u0022\u003EIsabel Berry\u003C\/a\u003E (M.S. CSE-CHEM 2025), advised by Regents\u2019 Professor C. David Sherrill, who is jointly appointed with the School of Chemistry and Biochemistry and the School of CSE\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/maxhawkins.info\/\u0022\u003EMax Hawkins\u003C\/a\u003E (M.S. CSE-CSE 2025), co-advised by School of CSE Professor Rich Vuduc and Assistant Professor Spencer Bryngelson\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/xiao-jing-738641a3\/\u0022\u003EXiao Jing\u003C\/a\u003E (M.S. CSE-AE 2025), advised by Daniel Guggenheim School of Aerospace Engineering Regents\u2019 Professor Dimitri Mavris\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/haoyunli.wordpress.com\/\u0022\u003EHaoyun Li\u003C\/a\u003E (M.S. CSE-CSE 2025), advised by Professor Felix Herrmann, who is jointly appointed with the Schools of Earth and Atmospheric Sciences, Electrical and Computer Engineering, and CSE\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/yuan-qiu-a47404227\/\u0022\u003EYuan Qiu\u003C\/a\u003E (M.S. CSE-CSE 2025), advised by School of CSE Assistant Professor Peng Chen\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/william-schertzer\/\u0022\u003EWilliam Schertzer\u003C\/a\u003E (M.S. CSE-MSE 2025), advised by School of Materials Science and Engineering Regents\u2019 Entrepreneur and Professor Rampi Ramprasad\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EGeorgia Tech\u2019s CSE graduate program includes 12 schools and departments participating as home units. These home units represent the colleges of Computing, Engineering, and Sciences. This approach facilitates an immersive, interdisciplinary experience in which students study computational approaches within domain fields.\u003C\/p\u003E\u003Cp\u003EGeorgia Tech jointly celebrated master\u2019s graduates at a ceremony on Dec. 13 at Bobby Dodd Stadium. After the Institute celebration, graduates were recognized during ceremonies held by their respective colleges.\u003C\/p\u003E\u003Cp\u003EMawutor Kofi Amanfu (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003ESunyoung An (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003ENischal Bandi (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EElijah Bellamy (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EMeiwen Bi (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EHao-Cheng Chang (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003ETianyu Chen (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EYilong Chen (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EZhiyu Chen (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003ESeung Eun Choi (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EVinodhini Comandur (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EZhiyi Dai (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EAlejandro Danies-Lopez (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EZixing Fan (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EStefan Faulkner (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EMihiri Fernando (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EAlexandra Freeman (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EYuhan Fu (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EJack Ganem (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EOmar Atef Garib (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EMartin Graffigna (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EBochun Guo (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EMoyi Guo (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EXinyu Guo (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EYuqi Han (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003ETianyang Hu (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EMingzheng Huang (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EPo-Han Huang (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EWentao Jiang (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EBoxiao Jin (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EWilliam-Michael Johnson (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EGaryoung Lee (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003ETzu Jung Lee (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003ECongyan Li (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EPeiru Li (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EYuhan Li (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EZhiyun Liang (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EYuexi Liao (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EChenyu Liu (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EHonglin Liu (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EShuojiang Liu (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EXuanzhang Liu (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EYue Lu (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EFang Lunt (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EJinrui Ma (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EYu Miao (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EHui-Chun Mo (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EPrajwal Kumar (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EKavya Krishnan (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EFelicity Nielson (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EJonathan Perng (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EYinzhu Quan (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EDevanshi Shah (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EYuxuan Shen (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003ESteven Stewart (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003ELinjun Su (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EJingyun Sun (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EAbdul Rehman Tariq (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EYu Chu Tsai (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EXunzhi Wen (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EJinghua Weng (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EAndi Xia (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EZihao Xiao (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EYunxiang Yan (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EZiyuan Ye (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003ELinyuan Yu (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EBingqing Zhang (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003ETiankuo Zhang (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EYu Zheng (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EBoye Zhou (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EXinjie Zhu (M.S. CSE 2025)\u003C\/p\u003E\u003Cp\u003EZilu Zhu (M.S. CSE 2025)\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJust as it takes a village to raise a child, it takes a community of faculty, mentors, research collaborators, and staff to raise a Georgia Tech graduate.\u003C\/p\u003E\u003Cp\u003EThe Yellow Jacket community swarmed campus for the final time of the fall semester to celebrate Commencement ceremonies held Dec. 11 to 13. Graduates from the School of Computational Science and Engineering (CSE) were among the 7,177 new alumni \u201cgetting out\u201d of Tech. \u0026nbsp; \u0026nbsp;\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The Yellow Jacket community swarmed campus for the final time of the fall semester to celebrate Commencement ceremonies held Dec. 11 to 13. Graduates from the School of Computational Science and Engineering (CSE) were among the 7,177 new alumni \u201cgetting o"}],"uid":"36319","created_gmt":"2025-12-18 14:56:42","changed_gmt":"2025-12-18 14:57:35","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2025-12-18T00:00:00-05:00","iso_date":"2025-12-18T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"678889":{"id":"678889","type":"image","title":"Fall-2025-Masters-Commencement.jpg","body":null,"created":"1766069812","gmt_created":"2025-12-18 14:56:52","changed":"1766069812","gmt_changed":"2025-12-18 14:56:52","alt":"Fall 2025 College of Computing Masters Commencement","file":{"fid":"262979","name":"Fall-2025-Masters-Commencement.jpg","image_path":"\/sites\/default\/files\/2025\/12\/18\/Fall-2025-Masters-Commencement.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/12\/18\/Fall-2025-Masters-Commencement.jpg","mime":"image\/jpeg","size":105246,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/12\/18\/Fall-2025-Masters-Commencement.jpg?itok=pWTczKbt"}}},"media_ids":["678889"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/community-and-collaboration-shape-class-2025","title":"Community and Collaboration Shape the Class of 2025"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"130","name":"Alumni"},{"id":"42901","name":"Community"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"129","name":"Institute and Campus"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"685556":{"#nid":"685556","#data":{"type":"news","title":"Revered Faculty Uses Teaching to Nurture Students and Research Community ","body":[{"value":"\u003Cp\u003EStudents in machine learning and linear algebra courses this semester are learning from one of Georgia Tech\u2019s most celebrated instructors.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.raphaelpestourie.com\/\u0022\u003ERapha\u00ebl Pestourie\u003C\/a\u003E\u0026nbsp;has earned back-to-back selections to the Institute\u2019s Course Instructor Opinion Survey (CIOS) honor roll, placing him among the top-ranked teachers for Fall 2024 and Spring 2025.\u003C\/p\u003E\u003Cp\u003EBy returning to the classroom this semester to teach two more courses, Pestourie continues to leverage proven experience to mentor the next generation of researchers in his field.\u003C\/p\u003E\u003Cp\u003E\u201cStudents played a very important part in the survey process, and I thank them for making the classes great,\u201d said Pestourie, an assistant professor in the School of Computational Science and Engineering (CSE).\u003C\/p\u003E\u003Cp\u003E\u201cI\u0027m incredibly grateful that students shared their feedback so that I could go the extra mile to not only apply my expertise to teach in ways that I think work, but transform my instruction to reach students in the most impactful way I can.\u201d\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/ctl.gatech.edu\/student-recognition-excellence-teaching-class-1934-honor-roll\/\u0022\u003ECIOS honor rolls\u003C\/a\u003E recognize instructors for outstanding teaching and educational impact, based on student feedback provided through end-of-course surveys.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EStudent praise of Pestourie\u2019s \u003Cem\u003ECSE 8803: Scientific Machine Learning\u003C\/em\u003E class placed him on the\u0026nbsp;\u003Ca href=\u0022https:\/\/blog.ctl.gatech.edu\/2025\/01\/15\/fall-2024-cios-honor-roll\/\u0022\u003EFall 2024 CIOS honor roll\u003C\/a\u003E. He earned selection to the\u0026nbsp;\u003Ca href=\u0022https:\/\/blog.ctl.gatech.edu\/2025\/06\/11\/spring-2025-honor-roll\/\u0022\u003ESpring 2025 honor roll\u003C\/a\u003E for his instruction of \u003Cem\u003ECX 4230: Computer Simulation\u003C\/em\u003E.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ECSE 8803 is a graduate-level, special topics class that Pestourie created around his field of expertise. Scientific machine learning involves merging two traditionally distinct fields: scientific computing and machine learning.\u003C\/p\u003E\u003Cp\u003EIn scientific computing, researchers build and use models based on established physical laws. Machine learning differs in that it employs data-driven models to find patterns without prior assumptions. Combining the two fields opens new ways to analyze data and solve challenging problems in science and engineering.\u003C\/p\u003E\u003Cp\u003EPestourie organized student-focused scientific machine learning symposiums in\u0026nbsp;\u003Ca href=\u0022https:\/\/sci-ml-symposium.github.io\/\u0022\u003EFall 2023\u003C\/a\u003E and\u0026nbsp;\u003Ca href=\u0022https:\/\/sciml-symposium.github.io\/sciml-symposium-2024.github.io\/\u0022\u003E2024\u003C\/a\u003E. CSE 8803 students work on projects throughout the course and present their work at these symposiums. Pestourie will use the same approach this semester.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ECompared to CSE 8803, CX 4230 is an undergraduate course that teaches students how to create computer models of complex systems. A complex system has many interacting entities that influence each other\u2019s behaviors and patterns. Disease spread in a human network is one example of a complex system.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ECX 4230 is a required course for computer science students studying the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/academics\/threads\/modeling-simulation\u0022\u003EModeling \u0026amp; Simulation thread\u003C\/a\u003E. It is also an elective course in the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.gatech.edu\/academics\/degrees\/bachelors\/scientific-and-engineering-computing-minor\u0022\u003EScientific and Engineering Computing minor\u003C\/a\u003E. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cI see 8803 as my educational baby. Being acknowledged for it with a CIOS honor roll felt great,\u201d Pestourie said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cIn a way, I\u0027m prouder of CX 4230 because it was a large, undergraduate regular offering that I was teaching for the first time. The honor roll selection came almost as a surprise.\u201d\u003C\/p\u003E\u003Cp\u003ETo be eligible for the honor roll recognition, instructors must have a minimum CIOS response rate of 70%. Composite scores for three CIOS items are then used to rank instructors. Those items are:\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EInstructor\u2019s respect and concern for students\u003C\/li\u003E\u003Cli\u003EInstructor\u2019s level of enthusiasm about the course\u003C\/li\u003E\u003Cli\u003EInstructor\u2019s ability to stimulate interest in the subject matter\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EGeorgia Tech\u2019s Center for Teaching and Learning (CTL) and the Office of Academic Effectiveness present the CIOS Honor Rolls. CTL recognizes honor roll recipients at\u0026nbsp;\u003Ca href=\u0022https:\/\/ctl.gatech.edu\/ctd\/\u0022\u003Eits\u0026nbsp;Celebrating Teaching Day\u003C\/a\u003E events, held annually in March.\u003C\/p\u003E\u003Cp\u003ECTL offers the\u0026nbsp;\u003Ca href=\u0022https:\/\/ctl.gatech.edu\/1969-2\/\u0022\u003EClass of 1969 Teaching Fellowship\u003C\/a\u003E, in which Pestourie participated in the 2024-2025 cohort. The program aims to broaden perspectives with insight into evidence-based best practices and exposure to new and innovative teaching methods.\u003C\/p\u003E\u003Cp\u003EThe fellowship offers one-on-one consultations with a teaching and learning specialist. Cohorts meet weekly in the fall semester and monthly in the spring semester for instruction seminars.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe fellowship facilitates peer observations where instructors visit other classrooms, exchange feedback, and learn effective techniques to try in their own classes.\u003C\/p\u003E\u003Cp\u003E\u201cI\u0027m very grateful for the Class of 1969 fellowship program and to Karen Franklin, who coordinates it,\u201d Pestourie said. \u201cThe honor roll is not just a one-person award. Support from the Institute and other people in the program made it happen.\u201d\u003C\/p\u003E\u003Cp\u003ELike in Fall 2023 and 2024, Pestourie is teaching \u003Cem\u003ECSE 8803: Scientific Machine Learning\u003C\/em\u003E again this semester. Additionally, he teaches \u003Cem\u003ECSE 8801: Linear Algebra, Probability, and Statistics\u003C\/em\u003E.\u003C\/p\u003E\u003Cp\u003ELinear algebra and applied probability are among the fundamental subjects in modern data science. Like his scientific machine learning class, Pestourie created CSE 8801. This semester marks the second time Pestourie is teaching the course since Fall 2024.\u003C\/p\u003E\u003Cp\u003EPestourie designed CSE 8801 as a refresher course for newer graduate students. This addresses a point of need to help students get off to a good start at Georgia Tech. By offering guidance early in their graduate careers, Pestourie\u2019s work in the classroom also aims to cultivate future collaborators and serve his academic community.\u003C\/p\u003E\u003Cp\u003E\u201cI see teaching as our one shot at making a good first impression as a research field and a community,\u201d he said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cI see my work as a teacher as training my future colleagues, and I see it as my duty to our community to do my best in attracting the best talent toward our research field.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EAssistant Professor Rapha\u00ebl Pestourie has earned back-to-back selections to the Institute\u2019s Course Instructor Opinion Survey (CIOS) honor roll, placing him among the top-ranked teachers for Fall 2024 and Spring 2025.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Assistant Professor Rapha\u00ebl Pestourie has earned back-to-back selections to the Institute\u2019s Course Instructor Opinion Survey (CIOS) honor roll, placing him among the top-ranked teachers for Fall 2024 and Spring 2025."}],"uid":"36319","created_gmt":"2025-10-06 16:56:12","changed_gmt":"2025-10-09 01:30:09","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2025-10-06T00:00:00-04:00","iso_date":"2025-10-06T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"678279":{"id":"678279","type":"image","title":"Pestourie_CIOS_Head-Image.jpg","body":null,"created":"1759769781","gmt_created":"2025-10-06 16:56:21","changed":"1759769781","gmt_changed":"2025-10-06 16:56:21","alt":"Rapha\u00ebl Pestourie CIOS","file":{"fid":"262284","name":"Pestourie_CIOS_Head-Image.jpg","image_path":"\/sites\/default\/files\/2025\/10\/06\/Pestourie_CIOS_Head-Image.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/10\/06\/Pestourie_CIOS_Head-Image.jpg","mime":"image\/jpeg","size":102318,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/10\/06\/Pestourie_CIOS_Head-Image.jpg?itok=fsv1Ri6q"}},"678280":{"id":"678280","type":"image","title":"Raphael-Pestourie-Class.jpg","body":null,"created":"1759769835","gmt_created":"2025-10-06 16:57:15","changed":"1759769835","gmt_changed":"2025-10-06 16:57:15","alt":"Rapha\u00ebl Pestourie CIOS","file":{"fid":"262285","name":"Raphael-Pestourie-Class.jpg","image_path":"\/sites\/default\/files\/2025\/10\/06\/Raphael-Pestourie-Class.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/10\/06\/Raphael-Pestourie-Class.jpg","mime":"image\/jpeg","size":56948,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/10\/06\/Raphael-Pestourie-Class.jpg?itok=SbwyQ3_B"}}},"media_ids":["678279","678280"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/revered-faculty-uses-teaching-nurture-students-and-research-community","title":"Revered Faculty Uses Teaching to Nurture Students and Research Community"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"194606","name":"Artificial Intelligence"},{"id":"42901","name":"Community"},{"id":"134","name":"Student and Faculty"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"10199","name":"Daily Digest"},{"id":"2556","name":"artificial intelligence"},{"id":"9167","name":"machine learning"},{"id":"172443","name":"Center for Teaching and Learning"},{"id":"182978","name":"office of academic effectiveness"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[{"id":"71871","name":"Campus and Community"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"683097":{"#nid":"683097","#data":{"type":"news","title":"Pancaked Water Droplets Help Launch Europe\u2019s Fastest Supercomputer","body":[{"value":"\u003Cp\u003EJUPITER became the world\u2019s fourth fastest supercomputer when it debuted last month. Though housed in Germany at the J\u00fclich Supercomputing Centre (JSC), Georgia Tech played a supporting role in helping the system land on the latest\u0026nbsp;\u003Ca href=\u0022https:\/\/top500.org\/lists\/top500\/2025\/06\/\u0022\u003ETOP500 list\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003EIn November 2024, JSC granted Assistant Professor Spencer Bryngelson exclusive access to the system through the JUPITER Research and Early Access Program (\u003Ca href=\u0022https:\/\/www.fz-juelich.de\/en\/ias\/jsc\/jupiter\/jureap\u0022\u003EJUREAP\u003C\/a\u003E).\u003C\/p\u003E\u003Cp\u003EBy preparing\u0026nbsp;\u003Ca href=\u0022https:\/\/www.fz-juelich.de\/en\/news\/archive\/press-release\/2025\/jupiter-supercomputer-propels-european-computing-power\u0022\u003EEurope\u2019s fastest supercomputer\u003C\/a\u003E for launch, the joint project yielded valuable simulation data on the effects of shock waves in medicine and transportation.\u003C\/p\u003E\u003Cp\u003E\u201cThe shock-droplet problem has been a hallmark test problem in fluid dynamics for some decades now. It is sufficiently challenging to study that it keeps me scientifically interested, though the results are manifestly important,\u201d Bryngelson said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cUnderstanding the droplet behavior in some extreme regimes remains an open scientific problem of high engineering value.\u201d\u003C\/p\u003E\u003Cp\u003EThrough JUREAP, JSC engineers tested Bryngelson\u2019s Multi-Component Flow Code (\u003Ca href=\u0022https:\/\/mflowcode.github.io\/\u0022\u003EMFC\u003C\/a\u003E) on their computers. The project simulated how liquid droplets behave when struck by a large, high-velocity shock wave moving much faster than the speed of sound.\u003C\/p\u003E\u003Cp\u003ETests produced visualizations of droplets deforming into pancake shapes before ejecting vortex rings as they broke apart from the shock wave. The experiments measured the swirls of air flow formed behind the droplets, known as vorticity.\u003C\/p\u003E\u003Cp\u003EVorticity is one variable aerospace engineers consider when building aircraft designed to fly at supersonic and hypersonic speeds. Small droplets and vortices pose significant hazards for high-Mach vessels.\u003C\/p\u003E\u003Cp\u003EThese computer models reduce the risk and cost associated with physical test runs. By simulating extreme scenarios, the JUREAP project demonstrated a safer and more efficient way to evaluate aerospace systems.\u003C\/p\u003E\u003Cp\u003EThe human body is another fluid space where fast, high-energy flows can occur.\u003C\/p\u003E\u003Cp\u003ESimulations help medical researchers create less invasive shock wave treatments. This technology can be further applied for uses ranging from breaking up kidney stones to treating inflammation.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EMFC\u2019s versatility for large- and small-scale applications made it suitable for testing JUPITER in its early stages. The project\u2019s success even earned it a JUREAP certificate for scaling efficiency and node performance.\u003C\/p\u003E\u003Cp\u003E\u201cThe use of application codes to test supercomputers is common. We\u2019ve participated in similar programs for OLCF Frontier and LLNL El Capitan,\u201d said Bryngelson, a faculty member with Georgia Tech\u2019s School of Computational Science and Engineering.\u003C\/p\u003E\u003Cp\u003E\u201cEngineers at supercomputer sites usually find and sort most problems on their own. But deploying workloads characteristic of what the JUPITER will run in practice stresses it in new ways. In these instances, we usually end up identifying some failure modes.\u201d\u003C\/p\u003E\u003Cp\u003EThe JSC and Georgia Tech researchers named their joint project Exascale Multiphysics Flows (ExaMFlow).\u003C\/p\u003E\u003Cp\u003EExaMFlow helps keep JUPITER on pace to become Europe\u2019s first exascale supercomputer. This designation refers to any machine capable of computing one exaflop, or one quintillion (\u201c1\u201d followed by 18 zeros) calculations per second.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAll three systems that rank ahead of JUPITER are exascale supercomputers. They are\u0026nbsp;\u003Ca href=\u0022https:\/\/asc.llnl.gov\/exascale\/el-capitan\u0022\u003EEl Capitan\u003C\/a\u003E at Lawrence Livermore National Laboratory,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.olcf.ornl.gov\/frontier\/\u0022\u003EFrontier\u003C\/a\u003E at Oak Ridge National Laboratory, and\u0026nbsp;\u003Ca href=\u0022https:\/\/www.anl.gov\/aurora\u0022\u003EAurora\u003C\/a\u003E at Argonne National Laboratory.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EJUPITER calculates more than 60 billion operations per watt. This makes the supercomputer the most energy-efficient system among the top five.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EExaMFlow ran Bryngelson\u2019s software on JSC\u2019s\u0026nbsp;\u003Ca href=\u0022https:\/\/www.fz-juelich.de\/en\/ias\/jsc\/systems\/supercomputers\/juwels\u0022\u003EJUWELS Booster\u003C\/a\u003E and JUPITER Exascale Transition Instrument (\u003Ca href=\u0022https:\/\/www.fz-juelich.de\/en\/news\/archive\/press-release\/2024\/new-jupiter-module-strengthens-leading-position-of-europe2019s-upcoming-exascale-supercomputer\u0022\u003EJETI\u003C\/a\u003E). The two modules form the backbone of JUPITER\u2019s full design.\u003C\/p\u003E\u003Cp\u003EExaMFlow\u2019s report showed that MFC performed with near-ideal scaling behavior on JUWELS and JETI compared to similar systems based on NVIDIA A100 GPUs.\u003C\/p\u003E\u003Cp\u003EAccess to NVIDIA hardware at Georgia Tech played a key role in ExaMFlow\u2019s success.\u003C\/p\u003E\u003Cp\u003EThe Institute hosts the\u0026nbsp;\u003Ca href=\u0022https:\/\/pace.gatech.edu\/phoenix-cluster\/\u0022\u003EPhoenix Research Computing Cluster\u003C\/a\u003E, which includes A100 GPUs among its arsenal of components. Bryngelson\u2019s lab owns NVIDIA A100 GPUs and four\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/researchers-blazing-new-trails-superchip-named-after-computing-pioneer\u0022\u003EGH200 Grace Hopper Superchips\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ESince JUPITER is equipped with around 24,000 Grace Hopper Superchips, Bryngelson\u2019s work with the hardware proved especially insightful for the ExaMFlow project.\u0026nbsp; \u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cThe Grace Hopper chip is interesting. It\u2019s not challenging to use like a regular GPU device when one is familiar with running NVIDIA hardware. The more fun part is using its tightly coupled CPU to GPU interconnect to make use of the CPU as well,\u201d Bryngelson said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cIt\u2019s not immediately obvious how to best do this, though we used a few tricks to tune its use to our application. They appear to work nicely.\u201d\u003C\/p\u003E\u003Cp\u003EJSC researchers \u003Cstrong\u003ELuis Cifuentes\u003C\/strong\u003E, \u003Cstrong\u003ERakesh Sarma\u003C\/strong\u003E, \u003Cstrong\u003ESeong Koh\u003C\/strong\u003E, and \u003Cstrong\u003ESohel Herff\u003C\/strong\u003E played important roles in running Bryngelson\u2019s MFC software on early JUPITER modules.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe ExaMFlow team included NVIDIA scientists \u003Cstrong\u003ENikolaos Tselepidis\u003C\/strong\u003E and \u003Cstrong\u003EBenedikt Dorschner\u003C\/strong\u003E.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe pair observed their company\u2019s hardware used in the field. They return to NVIDIA with notes that help the corporation build the next devices tailored to the need of scientific computing researchers.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cWe try to be prepared for the latest, biggest computers. Being able to take immediate advantage of the largest systems is a valuable capability,\u201d Bryngelson said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cWhen the early access systems arrive, it\u2019s a great opportunity for the teams involved to test the machines, demonstrate and tune scientific software, and meet very capable new collaborators.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJUPITER became the world\u2019s fourth fastest supercomputer when it debuted last month. Though housed in Germany at the J\u00fclich Supercomputing Centre (JSC), Georgia Tech played a supporting role in helping the system land on the latest\u0026nbsp;\u003Ca href=\u0022https:\/\/top500.org\/lists\/top500\/2025\/06\/\u0022\u003ETOP500 list\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003EIn November 2024, JSC granted Assistant Professor Spencer Bryngelson exclusive access to the system through the JUPITER Research and Early Access Program (\u003Ca href=\u0022https:\/\/www.fz-juelich.de\/en\/ias\/jsc\/jupiter\/jureap\u0022\u003EJUREAP\u003C\/a\u003E).\u003C\/p\u003E\u003Cp\u003EBy preparing\u0026nbsp;\u003Ca href=\u0022https:\/\/www.fz-juelich.de\/en\/news\/archive\/press-release\/2025\/jupiter-supercomputer-propels-european-computing-power\u0022\u003EEurope\u2019s fastest supercomputer\u003C\/a\u003E for launch, the joint project yielded valuable simulation data on the effects of shock waves in medicine and transportation.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Assistant Professor Spencer Bryngelson participated in the JUPITER Research and Early Access Program, which innovated his fluid dynamics software while stress testing Europe\u0027s fastest supercomputer in preparation for launch."}],"uid":"36319","created_gmt":"2025-07-11 13:05:43","changed_gmt":"2025-07-11 13:14:02","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2025-07-11T00:00:00-04:00","iso_date":"2025-07-11T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"677392":{"id":"677392","type":"image","title":"SHB-Pancaked-Droplet.png","body":null,"created":"1752239195","gmt_created":"2025-07-11 13:06:35","changed":"1752239195","gmt_changed":"2025-07-11 13:06:35","alt":"ExaMFlow Droplet","file":{"fid":"261287","name":"SHB-Pancaked-Droplet.png","image_path":"\/sites\/default\/files\/2025\/07\/11\/SHB-Pancaked-Droplet.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/07\/11\/SHB-Pancaked-Droplet.png","mime":"image\/png","size":254160,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/07\/11\/SHB-Pancaked-Droplet.png?itok=cN-20Szr"}},"677393":{"id":"677393","type":"image","title":"JUPITER-Booster.jpeg","body":null,"created":"1752239237","gmt_created":"2025-07-11 13:07:17","changed":"1752239237","gmt_changed":"2025-07-11 13:07:17","alt":"JSC JUPITER Booster","file":{"fid":"261288","name":"JUPITER-Booster.jpeg","image_path":"\/sites\/default\/files\/2025\/07\/11\/JUPITER-Booster.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/07\/11\/JUPITER-Booster.jpeg","mime":"image\/jpeg","size":61966,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/07\/11\/JUPITER-Booster.jpeg?itok=yY-RRh5o"}},"677394":{"id":"677394","type":"image","title":"SHB.jpeg","body":null,"created":"1752239292","gmt_created":"2025-07-11 13:08:12","changed":"1752239292","gmt_changed":"2025-07-11 13:08:12","alt":"Spencer Bryngelson","file":{"fid":"261289","name":"SHB.jpeg","image_path":"\/sites\/default\/files\/2025\/07\/11\/SHB.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/07\/11\/SHB.jpeg","mime":"image\/jpeg","size":97248,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/07\/11\/SHB.jpeg?itok=FCxuiSy2"}}},"media_ids":["677392","677393","677394"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/pancaked-water-droplets-help-launch-europes-fastest-supercomputer","title":"Pancaked Water Droplets Help Launch Europe\u2019s Fastest Supercomputer"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"136","name":"Aerospace"},{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"9153","name":"Research Horizons"},{"id":"187915","name":"go-researchnews"},{"id":"10199","name":"Daily Digest"},{"id":"181991","name":"Georgia Tech News Center"},{"id":"15030","name":"high-performance computing"},{"id":"168929","name":"supercomputers"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"666130":{"#nid":"666130","#data":{"type":"news","title":"Researcher Looks to Future of Computing through Human Visual Cortex","body":[{"value":"\u003Cp\u003EComputers are often compared to the human brain. While computers can operate faster than the brain, the brain is exponentially more efficient. This is a key reason why the brain remains a source of inspiration for scientists.\u003C\/p\u003E\u003Cp\u003EOne of these scientists is\u0026nbsp;\u003Cstrong\u003ENabil Imam\u003C\/strong\u003E, an assistant professor at Georgia Tech\u2019s School of Computational Science and Engineering (CSE). Not only does Imam study the possibilities of brain-inspired computing, he also thinks the answer to this engineering question lies in the same parts of the brain that let us see our world.\u003C\/p\u003E\u003Cp\u003EImam posits that by modeling the human visual cortex in computer hardware and software, computers can become both more efficient and more powerful. If achieved, this idea could transform the future of computer manufacturing and programing.\u003C\/p\u003E\u003Cp\u003EImam presented his research observations Feb. 3 at a\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/crnch\/crnch-summit\/\u0022\u003Esummit hosted by Georgia Tech\u2019s Center for Research in Novel Compute Hierarchies (CRNCH)\u003C\/a\u003E. Imam\u2019s presentation included an overview of the neural circuits within the brain, simulations that have modeled the visual cortex, and designs for silicon chips that emulate brain architecture.\u003C\/p\u003E\u003Cp\u003EThe highlight of Imam\u2019s seminar was his presentation of a microchip architecture he and other researchers have designed to function like the brain\u2019s visual cortex. The system Imam presented has simulated hundreds of millions of neurons and tens of billions of synapses, a step toward making brain-inspired computing a reality.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cMulti-chip systems have been built using these chips to simulate 100 million neurons and 25 billion synapses in real time,\u201d Imam said. \u201cThese chips are very efficient platforms for simulating biological neural networks.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ETo open his seminar, Imam showed circuit connectivity and neural response properties of the primary visual cortex \u2013\u0026nbsp;an area of the brain that is involved in seeing the world.\u003C\/p\u003E\u003Cp\u003EThe primary visual cortex is one of the most extensively studied areas of the brain. It consists of six layers of brain cells totaling about 300 million neurons and 300 billion synapses in primates. Even though this is one of the most well studied areas of the brain, the sheer numbers and complexity involved still make it difficult to understand.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EImam then discussed computer simulations of the visual system during his presentation. The example Imam used simulates a visual cortex segment of 230,000 neurons, a small sliver of the structure but one that shows promise.\u003C\/p\u003E\u003Cp\u003E\u201cThis is a very small simulation, but it is a very detailed one. The models are based on extensive data curated from years of measurements,\u201d said Imam. \u201cWith the right kind of computing platform, we can scale this up and simulate larger portions of the circuit and its interactions with other areas of the brain.\u201d\u003C\/p\u003E\u003Cp\u003EDue to the sheer computing power required for brain simulations, scaling is a significant obstacle that researchers, like Imam, are studying to overcome.\u003C\/p\u003E\u003Cp\u003ESimulating one second of a small neural circuit requires hours of computing time. With current computer architectures, it would require speeds measured in exaflops and memory spanning petabytes to achieve a simulation of the human brain.\u003C\/p\u003E\u003Cp\u003EPresently, the max speed of the world\u2019s fastest supercomputer, called Frontier, is 1.102 exaflops. It is the first, and currently, the only computer to reach exascale speeds. To do this, Frontier requires 7,300 square feet of space, consumes 21 megawatts of power, and pumps 6,000 gallons of water a minute to keep itself cool. This shows how far computers still must go before being able to simulate the brain.\u003C\/p\u003E\u003Cp\u003EHowever, progress is being made. The chip Imam discussed at CRNCH Summit 2023 uses specialized integrated circuits to model neurons and their networks found in the brain and visual cortex.\u003C\/p\u003E\u003Cp\u003ETo address the scaling challenge, the computer chips were scaled up via multi-chip platforms to simulate hundreds of millions of neurons and tens of billions of synapses, approaching scales of complex cortical circuitry.\u003C\/p\u003E\u003Cp\u003ESimulations in this chip are orders of magnitude larger than the 230,000-neuron example simulation Imam presented earlier.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThese chips operate in real time, so one second of brain activity equals one second of computing. These chips are also smaller than a square inch and consume less than one watt of power. The chips also can be integrated with sensors and actuators to interact with the environment.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EMuch of Imam\u2019s research remains theoretical and ongoing work continues. But as Imam showed in his CRNCH Summit 2023 seminar,\u0026nbsp;the intersection of computing and neuroscience is rapidly growing and the future for this technology appears bright.\u003C\/p\u003E\u003Cp\u003E\u201cThe goal is to develop computational and analytical methods that will help us understand the behavior of these models\u201d Imam said. \u201cThese insights can then be used to develop new classes of computer systems and new models of computation.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EComputers are often compared to the human brain. While computers can operate faster than the brain, the brain is exponentially more efficient. This is a key reason why the brain remains a source of inspiration for scientists.\u003C\/p\u003E\u003Cp\u003EOne of these scientists is\u0026nbsp;\u003Cstrong\u003ENabil Imam\u003C\/strong\u003E, an assistant professor at Georgia Tech\u2019s School of Computational Science and Engineering (CSE). Not only does Imam study the possibilities of brain-inspired computing, he also thinks the answer to this engineering question lies in the same parts of the brain that let us see our world.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Nabil Imam presents a chip system design inspired by the visual cortex to simulate parts of the brain"}],"uid":"36319","created_gmt":"2023-02-24 13:40:22","changed_gmt":"2025-06-18 14:40:18","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-02-24T00:00:00-05:00","iso_date":"2023-02-24T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"677240":{"id":"677240","type":"image","title":"Neuron-Graphic.png","body":null,"created":"1750164698","gmt_created":"2025-06-17 12:51:38","changed":"1750164698","gmt_changed":"2025-06-17 12:51:38","alt":"Neuron","file":{"fid":"261121","name":"Neuron-Graphic.png","image_path":"\/sites\/default\/files\/2025\/06\/17\/Neuron-Graphic.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/06\/17\/Neuron-Graphic.png","mime":"image\/png","size":767280,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/06\/17\/Neuron-Graphic.png?itok=DGjb0eu8"}}},"media_ids":["677240"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"129","name":"Institute and Campus"},{"id":"146","name":"Life Sciences and Biology"},{"id":"135","name":"Research"},{"id":"134","name":"Student and Faculty"}],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39451","name":"Electronics and Nanotechnology"},{"id":"39541","name":"Systems"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003Ebryant.wine@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"682285":{"#nid":"682285","#data":{"type":"news","title":"Campus Connection Inspires Mother and Son to Find Purpose and Passion","body":[{"value":"\u003Cp\u003EWhen \u003Cstrong\u003EAndrew Rush\u003C\/strong\u003E started at Georgia Tech last fall, he already had a sense of direction as soon as he set foot on campus. His mother, \u003Cstrong\u003EHolly Rush\u003C\/strong\u003E, is a longtime Georgia Tech staff employee, and this exposure influenced Andrew to study at the Institute.\u003C\/p\u003E\u003Cp\u003EWe caught up with Holly and Andrew to learn more about what makes Georgia Tech so appealing to students and employees alike, and the unique perspective their mother-son relationship brings to campus.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EHow long have you worked at Georgia Tech? What do you do as a financial operations assistant director?\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E[Holly]\u003C\/em\u003E I have been at Georgia Tech since 2000 and joined the College of Computing in early 2005. Ironically and very memorably, I found out I was expecting Andrew right after I started in Computing. I still recall being very nervous about telling my new boss that I was expecting, but she was happy for me and very accommodating. I went to the bookstore right after our meeting and bought Andrew his first Georgia Tech t-shirt, which I plan to pass down to him one day.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EBeing part of the College for this long, I have watched it grow from having divisions to schools. I began as a financial administrator and steadily grew into my current role as assistant director of financial operations for the \u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003E\u003Cstrong\u003ESchool of Computational Science and Engineering (CSE)\u003C\/strong\u003E\u003C\/a\u003E. In my current role, I oversee financial operations for the School of CSE, including budgeting, forecasting, financial reporting, and ensuring compliance with Institute and sponsor guidelines. I work closely with faculty, staff, and leadership to support our financial programs and other initiatives. It is a rewarding role that allows me to contribute to the success of the college while watching it grow, just like my own journey here.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EHow much influence did your mom\u2019s work at Georgia Tech have on your interest in coming here for college?\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E[Andrew]\u003C\/em\u003E It definitely played a role. I grew up a fan of all things Georgia Tech, so this was always my dream school. When I got in, all the stars aligned. Tech was my dream school, my mom worked there, and I was close to home. It was perfect.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhat is it about Georgia Tech that has kept you here for more than two decades?\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E[Holly]\u003C\/em\u003E From the beginning, I have always felt that my work contributes to something bigger \u2013 supporting faculty who offer world-class education and innovation. I have had the opportunity to grow professionally and work alongside very talented colleagues.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EHow has your first year gone? What do you like best about attending Georgia Tech?\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E[Andrew]\u003C\/em\u003E Overwhelming. I wasn\u2019t sure what to expect from attending college. The college lifestyle was a big change for me, and I had to learn how to navigate it. I knew Georgia Tech would be challenging, and I thought I was ready for it, but it was still harder than I expected. However, I managed to get through my first year with great resilience and finish stronger than I started.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhat do you each like best about being on campus together?\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E[Holly]\u003C\/em\u003E I enjoy being nearby and getting to share this chapter of his life. There are many times that Andrew is focused on his studies or his fraternity commitments, so he doesn\u2019t get to come home as often as I would like. But with me being on campus, we can grab a quick lunch or have a short visit. I also like knowing he is a short walk from my office if I want to drop off a homemade meal. Even when we are both too busy for a visit, sometimes I find myself looking out the window across campus. Just seeing the top of a building where he is attending class gives me comfort knowing he is there.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E[Andrew]\u003C\/em\u003E Bouncing off of what my mom said, it has been great. It is comforting that I can go to her office just to say \u201chey,\u201d and not drive all the way home. It\u2019s nice that when I\u2019m having a rough patch with school, she drops by to offer some reassurance.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhat has been the key to reaching the milestones of a fulfilling career and witnessing your children achieve their goals?\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E[Holly]\u0026nbsp;\u003C\/em\u003EThe key to reaching these milestones has really been maintaining a healthy work-life balance. Georgia Tech has given me the space and support to grow professionally while also being present as a parent. That balance has been everything. It allowed me to build a fulfilling career that I\u2019m proud of, while also being there to watch my children grow and pursue their dreams, including Andrew becoming a Georgia Tech student himself. Being able to do both, without having to choose one over the other, has truly been the foundation of my success and happiness.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhat do you look forward to in the next few years studying computer engineering at Georgia Tech? And after graduating?\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E[\u003Cem\u003EAndrew\u003C\/em\u003E] I am most excited for my \u003Ca href=\u0022https:\/\/ece.gatech.edu\/computer-engineering-degree\u0022\u003E\u003Cstrong\u003Ethreads\u003C\/strong\u003E\u003C\/a\u003E and starting my career. I have learned so much that I am already applying my studies. I recently used Raspberry Pi to build a circuit that enabled a motion detector to work and set off an LED indicating motion. This was a part of my discovery class for my major, and it was the most fun I have had at Georgia Tech so far. It was very new and exciting to learn about, and it motivates me to put my skills to work.\u003C\/p\u003E\u003Cp\u003EAfter graduating, I want to work in cybersecurity, possibly as a hardware security engineer for the government or even my own startup. The project I mentioned opened my eyes to my threads and really motivated me to continue in this field.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ERush is one of more than 150 College of Computing staff members who support the College and its five schools. Staff members are the backbone of the College. From managing operations to providing essential services, their dedication ensures the seamless delivery of education, research, and community support, making them integral to the College\u0027s success.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EWhen \u003Cstrong\u003EAndrew Rush\u003C\/strong\u003E started at Georgia Tech last fall, he already had a sense of direction as soon as he set foot on campus. His mother, \u003Cstrong\u003EHolly Rush\u003C\/strong\u003E, is a longtime Georgia Tech staff employee, and this exposure influenced Andrew to study at the Institute.\u003C\/p\u003E\u003Cp\u003EWe caught up with Holly and Andrew to learn more about what makes Georgia Tech so appealing to students and employees alike, and the unique perspective their mother-son relationship brings to campus.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Holly Rush has worked at Georgia Tech since 2000. Her employment influenced her son, Andrew, to attend the Institute and study computer engineering."}],"uid":"36319","created_gmt":"2025-05-08 14:35:15","changed_gmt":"2025-05-09 13:59:20","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2025-05-08T00:00:00-04:00","iso_date":"2025-05-08T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"677042":{"id":"677042","type":"image","title":"CSE-Staff-Profile.jpg","body":null,"created":"1746714608","gmt_created":"2025-05-08 14:30:08","changed":"1746714608","gmt_changed":"2025-05-08 14:30:08","alt":"CSE Staff Profile","file":{"fid":"260902","name":"CSE-Staff-Profile.jpg","image_path":"\/sites\/default\/files\/2025\/05\/08\/CSE-Staff-Profile.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/05\/08\/CSE-Staff-Profile.jpg","mime":"image\/jpeg","size":107111,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/05\/08\/CSE-Staff-Profile.jpg?itok=N18Wfstb"}},"677043":{"id":"677043","type":"image","title":"CSE-Staff-Profile-2.jpg","body":null,"created":"1746714633","gmt_created":"2025-05-08 14:30:33","changed":"1746714633","gmt_changed":"2025-05-08 14:30:33","alt":"Holly Rush and Andrew Rush","file":{"fid":"260903","name":"CSE-Staff-Profile-2.jpg","image_path":"\/sites\/default\/files\/2025\/05\/08\/CSE-Staff-Profile-2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/05\/08\/CSE-Staff-Profile-2.jpg","mime":"image\/jpeg","size":93623,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/05\/08\/CSE-Staff-Profile-2.jpg?itok=siORvTLB"}},"677044":{"id":"677044","type":"image","title":"staff_spotlight-graphic_sml_v2-copy.jpg","body":null,"created":"1746714935","gmt_created":"2025-05-08 14:35:35","changed":"1746714935","gmt_changed":"2025-05-08 14:35:35","alt":"College of Computing Staff Spotlight","file":{"fid":"260904","name":"staff_spotlight-graphic_sml_v2-copy.jpg","image_path":"\/sites\/default\/files\/2025\/05\/08\/staff_spotlight-graphic_sml_v2-copy.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/05\/08\/staff_spotlight-graphic_sml_v2-copy.jpg","mime":"image\/jpeg","size":38587,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/05\/08\/staff_spotlight-graphic_sml_v2-copy.jpg?itok=LCxJynE0"}}},"media_ids":["677042","677043","677044"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/campus-connection-inspires-mother-and-son-find-purpose-and-passion","title":"Campus Connection Inspires Mother and Son to Find Purpose and Passion"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"42901","name":"Community"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"145","name":"Engineering"},{"id":"134","name":"Student and Faculty"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"594","name":"college of engineering"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"107031","name":"College of Engineering; School of Electrical and Computer Engineering"},{"id":"10199","name":"Daily Digest"},{"id":"11075","name":"The Whistle"},{"id":"4152","name":"whistle"},{"id":"181991","name":"Georgia Tech News Center"},{"id":"194509","name":"Mother\u0027s Day"}],"core_research_areas":[],"news_room_topics":[{"id":"71871","name":"Campus and Community"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"682026":{"#nid":"682026","#data":{"type":"news","title":"Computing Framework Could Reveal Signs of Neuro Disorders Hidden within Brain Data","body":[{"value":"\u003Cp\u003EA Georgia Tech doctoral student\u2019s dissertation could help physicians diagnose neuropsychiatric disorders, including schizophrenia, autism, and Alzheimer\u2019s disease. The new approach leverages data science and algorithms instead of relying on traditional methods like cognitive tests and image scans.\u003C\/p\u003E\u003Cp\u003EPh.D. candidate\u0026nbsp;\u003Ca href=\u0022https:\/\/a-rahaman.github.io\/\u0022\u003EMd Abdur Rahaman\u003C\/a\u003E\u2019s dissertation studies brain data to understand how changes in brain activity shape behavior.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EComputational tools Rahaman developed for his dissertation look for informative patterns between the brain and behavior. Successful tests of his algorithms show promise to help doctors diagnose mental health disorders and design individualized treatment plans for patients.\u003C\/p\u003E\u003Cp\u003E\u201cI\u0027ve always been fascinated by the human brain and how it defines who we are,\u201d Rahaman said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cThe fact that so many people silently suffer from neuropsychiatric disorders, while our understanding of the brain remains limited, inspired me to develop tools that bring greater clarity to this complexity and offer hope through more compassionate, data-driven care.\u201d\u003C\/p\u003E\u003Cp\u003ERahaman\u2019s dissertation introduces a framework focusing on granular factoring. This computing technique stratifies brain data into smaller, localized subgroups, making it easier for computers and researchers to study data and find meaningful patterns.\u003C\/p\u003E\u003Cp\u003EGranular factoring overcomes the challenges of size and heterogeneity in neurological data science. Brain data is obtained from neuroimaging, genomics, behavioral datasets, and other sources. The large size of each source makes it a challenge to study them individually, let alone analyze them simultaneously, to find hidden inferences.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ERahaman\u2019s research allows researchers and physicians to move past one-size-fits-all approaches. Instead of manually reviewing tests and scans, algorithms look for patterns and biomarkers in the subgroups that otherwise go undetected, especially ones that indicate neuropsychiatric disorders.\u003C\/p\u003E\u003Cp\u003E\u201cMy dissertation advances the frontiers of computational neuroscience by introducing scalable and interpretable models that navigate brain heterogeneity to reveal how neural dynamics shape behavior,\u201d Rahaman said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cBy uncovering subgroup-specific patterns, this work opens new directions for understanding brain function and enables more precise, personalized approaches to mental health care.\u201d\u003C\/p\u003E\u003Cp\u003ERahaman defended his dissertation on April 14, the final step in completing his Ph.D. in computational science and engineering. He will graduate on May 1 at Georgia Tech\u2019s\u0026nbsp;\u003Ca href=\u0022https:\/\/commencement.gatech.edu\/\u0022\u003EPh.D. Commencement\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAfter walking across the stage at McCamish Pavilion, Rahaman\u2019s next step in his career is to go to Amazon, where he will work in the generative artificial intelligence (AI) field.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EGraduating from Georgia Tech is the summit of an educational trek spanning over a decade. Rahaman hails from Bangladesh where he graduated from Chittagong University of Engineering and Technology in 2013. He attained his master\u2019s from the University of New Mexico in 2019 before starting at Georgia Tech.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cMunna is an amazingly creative researcher,\u201d said\u0026nbsp;\u003Ca href=\u0022https:\/\/research.gatech.edu\/people\/vince-calhoun\u0022\u003EVince Calhoun\u003C\/a\u003E, Rahman\u2019s advisor. Calhoun is the founding director of the\u0026nbsp;\u003Ca href=\u0022https:\/\/trendscenter.org\/\u0022\u003ETranslational Research in Neuroimaging and Data Science Center (TReNDS)\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003ETReNDS is a tri-institutional center spanning Georgia Tech, Georgia State University, and Emory University that develops analytic approaches and neuroinformatic tools. The center aims to translate the approaches into biomarkers that address areas of brain health and disease. \u0026nbsp; \u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cHis work is moving the needle in our ability to leverage multiple sources of complex biological data to improve understanding of neuropsychiatric disorders that have a huge impact on an individual\u2019s livelihood,\u201d said Calhoun.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EA Georgia Tech doctoral student\u2019s dissertation could help physicians diagnose neuropsychiatric disorders, including schizophrenia, autism, and Alzheimer\u2019s disease. The new approach leverages data science and algorithms instead of relying on traditional methods like cognitive tests and image scans.\u003C\/p\u003E\u003Cp\u003EPh.D. candidate\u0026nbsp;\u003Ca href=\u0022https:\/\/a-rahaman.github.io\/\u0022\u003EMd Abdur Rahaman\u003C\/a\u003E\u2019s dissertation studies brain data to understand how changes in brain activity shape behavior.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EComputational tools Rahaman developed for his dissertation look for informative patterns between the brain and behavior. Successful tests of his algorithms show promise to help doctors diagnose mental health disorders and design individualized treatment plans for patients.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"A Georgia Tech doctoral student\u2019s dissertation could help physicians diagnose neuropsychiatric disorders, including schizophrenia, autism, and Alzheimer\u2019s disease. "}],"uid":"36319","created_gmt":"2025-04-25 13:48:26","changed_gmt":"2025-05-05 13:58:06","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2025-04-24T00:00:00-04:00","iso_date":"2025-04-24T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"676932":{"id":"676932","type":"image","title":"Computational-Brain.jpeg","body":"\u003Cp\u003EInstead of relying on traditional methods like cognitive tests and image scans, this new approach leverages data science and algorithms.\u003C\/p\u003E","created":"1745519173","gmt_created":"2025-04-24 18:26:13","changed":"1745519173","gmt_changed":"2025-04-24 18:26:13","alt":"Instead of relying on traditional methods like cognitive tests and image scans, this new approach leverages data science and algorithms.","file":{"fid":"260783","name":"Computational-Brain.jpeg","image_path":"\/sites\/default\/files\/2025\/04\/24\/Computational-Brain.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/04\/24\/Computational-Brain.jpeg","mime":"image\/jpeg","size":3553157,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/04\/24\/Computational-Brain.jpeg?itok=TXN2msvN"}},"676941":{"id":"676941","type":"image","title":"Md-Abdur-Rahaman-v2.jpg","body":null,"created":"1745588923","gmt_created":"2025-04-25 13:48:43","changed":"1745588923","gmt_changed":"2025-04-25 13:48:43","alt":"Md Abdur Rahaman","file":{"fid":"260792","name":"Md-Abdur-Rahaman-v2.jpg","image_path":"\/sites\/default\/files\/2025\/04\/25\/Md-Abdur-Rahaman-v2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/04\/25\/Md-Abdur-Rahaman-v2.jpg","mime":"image\/jpeg","size":112744,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/04\/25\/Md-Abdur-Rahaman-v2.jpg?itok=-nKAgxet"}},"676933":{"id":"676933","type":"image","title":"pic_me.jpg","body":"\u003Cp\u003EPh.D. candidate\u0026nbsp;\u003Ca href=\u0022https:\/\/a-rahaman.github.io\/\u0022\u003E\u003Cstrong\u003EMd Abdur Rahaman\u003C\/strong\u003E\u003C\/a\u003E\u2019s dissertation studies brain data to understand how changes in brain activity shape behavior.\u0026nbsp;\u003C\/p\u003E","created":"1745519217","gmt_created":"2025-04-24 18:26:57","changed":"1745519217","gmt_changed":"2025-04-24 18:26:57","alt":"Ph.D. candidate Md Abdur Rahaman\u2019s dissertation studies brain data to understand how changes in brain activity shape behavior. ","file":{"fid":"260784","name":"pic_me.jpg","image_path":"\/sites\/default\/files\/2025\/04\/24\/pic_me.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/04\/24\/pic_me.jpg","mime":"image\/jpeg","size":352796,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/04\/24\/pic_me.jpg?itok=cN2myp7c"}}},"media_ids":["676932","676941","676933"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/computing-framework-could-reveal-signs-neuro-disorders-hidden-within-brain-data","title":"Computing Framework Could Reveal Signs of Neuro Disorders Hidden within Brain Data"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"146","name":"Life Sciences and Biology"},{"id":"135","name":"Research"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"9153","name":"Research Horizons"},{"id":"187915","name":"go-researchnews"},{"id":"187812","name":"artificial intelligence (AI)"},{"id":"192863","name":"go-ai"},{"id":"10199","name":"Daily Digest"},{"id":"181991","name":"Georgia Tech News Center"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"},{"id":"193656","name":"Neuro Next Initiative"}],"news_room_topics":[{"id":"71891","name":"Health and Medicine"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"681370":{"#nid":"681370","#data":{"type":"news","title":"Computing Student Runs into History Books for Athletic and Academic Achievement","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EGrace Driskill\u003C\/strong\u003E has spent the last three years defining excellence at Georgia Tech. Between coding algorithms to setting running records, achievement has followed Driskill everywhere she has gone throughout her collegiate career.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDriskill came to Georgia Tech in 2023 as a graduate transfer to run long-distance for the women\u2019s cross country and track teams. In doing so, she became the first-ever student-athlete in the School of Computational Science and Engineering (CSE).\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EWhile a pioneer in her own right, the trails that Driskill blazed will be her legacy at Georgia Tech and the School of CSE.\u003C\/p\u003E\u003Cp\u003E\u201cWe are so proud of Grace and so happy she came our way for graduate school,\u201d said\u0026nbsp;\u003Ca href=\u0022https:\/\/ramblinwreck.com\/drosky-to-take-reins-of-cross-country-track-and-field-programs\/\u0022\u003EAlan Drosky\u003C\/a\u003E, head coach of Georgia Tech\u2019s cross country and track and field teams.\u003C\/p\u003E\u003Cp\u003E\u201cShe is obviously very talented academically and athletically, and she has contributed in a major way to our teams in competition.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E[Related: \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/computing-student-runs-history-books-athletic-and-academic-achievement\u0022\u003EDay in the Life of a CSE Student-Athlete\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003EThis year, Driskill recorded the\u0026nbsp;\u003Ca href=\u0022https:\/\/x.com\/GT_trackNfield\/status\/1894089306748457402\u0022\u003Efourth fastest time in history of the Georgia Tech Women\u0027s Indoor Track program\u003C\/a\u003E. She clocked a 9:22.21 in the 3000-meter race at the David Hemery Valentine Invitational, held on Feb. 15 at Boston University.\u003C\/p\u003E\u003Cp\u003EDriskill\u2019s record-setting performance at the Valentine Invitational came days after news of her latest academic achievement. She was among 19 Yellow Jackets selected to the\u0026nbsp;\u003Ca href=\u0022https:\/\/ramblinwreck.com\/nineteen-yellow-jackets-earn-all-acc-academic-honors\/\u0022\u003E2024 All-ACC Cross Country Academic Team\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003EThis listing was Driskill\u2019s third after previous selections in\u0026nbsp;\u003Ca href=\u0022https:\/\/ramblinwreck.com\/multiple-jackets-named-to-all-academic-team\/\u0022\u003E2024 for indoor track\u003C\/a\u003E and\u0026nbsp;\u003Ca href=\u0022https:\/\/ramblinwreck.com\/swarm-of-jackets-earn-all-acc-academic-honors-2\/\u0022\u003E2023 for cross country\u003C\/a\u003E. She is on pace for a 2025 indoor track selection, putting her on four All-ACC academic teams during her Georgia Tech career.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ETo earn an All-ACC academic team selection, student-athletes must attain a 3.0 grade point average in the previous semester and maintain an overall 3.0 cumulative average. Student-athletes must also compete in the ACC and\/or NCAA championships during the most recent season.\u003C\/p\u003E\u003Cp\u003EIn 2024, Driskill\u2019s academic achievement earned her the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/school-continues-award-winning-trend-2023-2024-academic-year\u0022\u003EDonald V. Jackson Fellowship\u003C\/a\u003E. Georgia Tech\u2019s\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/college-computing-annual-awards-and-honors\u0022\u003ECollege of Computing presents the award annually\u003C\/a\u003E to well-rounded, first-year master\u2019s students. The College selects fellows who best embody Jackson\u2019s academic excellence and leadership values.\u003C\/p\u003E\u003Cp\u003EDriskill was instrumental in helping the women\u2019s cross country team earn high rankings at the NCAA South Regionals both years she competed.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDriskill was the second-fastest Yellow Jacket and finished 34th overall at the\u0026nbsp;\u003Ca href=\u0022https:\/\/ramblinwreck.com\/women-finish-6th-men-12th-at-ncaa-south-regionals\/\u0022\u003E2023 regional\u003C\/a\u003E, earning Georgia Tech 6th place among a field of 29 teams.\u0026nbsp;\u003Ca href=\u0022https:\/\/ramblinwreck.com\/yellow-jacket-women-take-seventh-men-finish-eighth-at-ncaa-south-regionals\/\u0022\u003EAt last year\u2019s regional\u003C\/a\u003E, she helped Georgia Tech place 7th out of 31 teams by finishing 41st overall and fourth from Georgia Tech.\u003C\/p\u003E\u003Cp\u003E\u201cLast year, I qualified for the preliminary round of the track national championship,\u201d Driskill said, remembering her proudest accomplishment at Georgia Tech.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cI love representing Georgia Tech at every competition throughout the season, but the opportunity to do it at a higher level and more prominent competition was extra special.\u201d\u003C\/p\u003E\u003Cp\u003EA native of Tucson, Arizona, Driskill intends to return to the Southwest after graduating from Georgia Tech this summer. She will work with the Technical Internships to Advance National Security program (\u003Ca href=\u0022https:\/\/www.sandia.gov\/careers\/career-possibilities-clone-2\/students-and-postdocs\/internships-co-ops\/institute-programs\/titans-technical-internships-to-advance-national-security\/\u0022\u003ETITANS\u003C\/a\u003E) at Sandia National Laboratories in Albuquerque, New Mexico.\u003C\/p\u003E\u003Cp\u003EDriskill started her collegiate career in 2020, competing on the cross country and track teams at the\u0026nbsp;\u003Ca href=\u0022https:\/\/arizonawildcats.com\/sports\/track-and-field\/roster\/grace-driskill\/13374\u0022\u003EUniversity of Arizona\u003C\/a\u003E. She graduated in 2023 with a B.S. in computer science and a minor in mathematics.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIn high school, Driskill was a four-year cross country letter winner and a two-year letter winner in track and field and softball. She earned first-team all-state honors her senior year in 2019 after state champion finishes in the 1600 and 3200-meter events.\u003C\/p\u003E\u003Cp\u003E\u201cGrace\u2019s contributions go way beyond what she does while running. She has a fantastic attitude, an easy-going demeanor, and a great sense of humor,\u201d Drosky said. \u201cShe has become an integral figure on our teams and will be missed.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EGrace Driskill\u003C\/strong\u003E has spent the last three years defining excellence at Georgia Tech. Between coding algorithms to setting running records, achievement has followed Driskill everywhere she has gone throughout her collegiate career.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDriskill came to Georgia Tech in 2023 as a graduate transfer to run long-distance for the women\u2019s cross country and track teams. In doing so, she became the first-ever student-athlete in the School of Computational Science and Engineering (CSE).\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EWhile a pioneer in her own right, the trails that Driskill blazed will be her legacy at Georgia Tech and the School of CSE.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"M.S. CSE student Grace Driskill achieved many athletic and academic accolades during her career at Georgia Tech, including being the first-ever student-athlete in the School of Computational Science and Engineering."}],"uid":"36319","created_gmt":"2025-03-26 13:52:41","changed_gmt":"2025-04-25 14:41:49","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2025-03-26T00:00:00-04:00","iso_date":"2025-03-26T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"676671":{"id":"676671","type":"image","title":"Head-Image-1.jpg","body":null,"created":"1742997170","gmt_created":"2025-03-26 13:52:50","changed":"1742997170","gmt_changed":"2025-03-26 13:52:50","alt":"Grace Driskill 2024 Penn Relays","file":{"fid":"260484","name":"Head-Image-1.jpg","image_path":"\/sites\/default\/files\/2025\/03\/26\/Head-Image-1.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/03\/26\/Head-Image-1.jpg","mime":"image\/jpeg","size":156105,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/03\/26\/Head-Image-1.jpg?itok=hii1c-Fn"}},"676672":{"id":"676672","type":"image","title":"2023-NCAA-South-Regionals.png","body":null,"created":"1742997229","gmt_created":"2025-03-26 13:53:49","changed":"1742997229","gmt_changed":"2025-03-26 13:53:49","alt":"Grace Driskill 2023 NCAA South Regional","file":{"fid":"260485","name":"2023-NCAA-South-Regionals.png","image_path":"\/sites\/default\/files\/2025\/03\/26\/2023-NCAA-South-Regionals.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/03\/26\/2023-NCAA-South-Regionals.png","mime":"image\/png","size":5898144,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/03\/26\/2023-NCAA-South-Regionals.png?itok=UHbVB-i8"}}},"media_ids":["676671","676672"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/computing-student-runs-history-books-athletic-and-academic-achievement","title":"Computing Student Runs into History Books for Athletic and Academic Achievement"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"42901","name":"Community"},{"id":"134","name":"Student and Faculty"},{"id":"193157","name":"Student Honors and Achievements"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"172141","name":"GT athletics"},{"id":"188035","name":"cross country"},{"id":"174364","name":"track and field"},{"id":"191124","name":"women\u0027s athletics"},{"id":"8900","name":"women\u0027s history month"},{"id":"10199","name":"Daily Digest"},{"id":"181991","name":"Georgia Tech News Center"}],"core_research_areas":[],"news_room_topics":[{"id":"71871","name":"Campus and Community"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"681734":{"#nid":"681734","#data":{"type":"news","title":"Faculty Earn Fellowships for Heart Modeling and Data Optimization Research","body":[{"value":"\u003Cp\u003ETwo faculty members represented Georgia Tech as new fellows to the world\u2019s leading organization dedicated to applied mathematics, computational science, and data science.\u003C\/p\u003E\u003Cp\u003EThe Society for Industrial and Applied Mathematics (SIAM) selected\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/elizabeth-cherry\u0022\u003EElizabeth Cherry\u003C\/a\u003E and\u0026nbsp;\u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/users\/katya-scheinberg\u0022\u003EKatya Scheinberg\u003C\/a\u003E as\u0026nbsp;\u003Ca href=\u0022https:\/\/www.siam.org\/publications\/siam-news\/articles\/siam-announces-2025-class-of-fellows\/\u0022\u003EClass of 2025 fellows\u003C\/a\u003E. The two Georgia Tech faculty join an illustrious class of 23 other researchers from around the globe in this year\u2019s class.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ESIAM selected Cherry to recognize her contributions to mathematical and computational modeling and extensive service to the SIAM community. She studies the electrical behavior of cardiac cells and tissue.\u003C\/p\u003E\u003Cp\u003ECherry\u2019s computer models and simulations improve understanding of cardiac dynamics in normal and diseased states. Using these tools, she designs advanced strategies for preventing and treating arrhythmias.\u003C\/p\u003E\u003Cp\u003E\u201cSIAM has played a huge role in my professional development\u2014the first conference I attended as a graduate student was a SIAM conference, and I\u2019ve attended at least one SIAM conference almost every year since then,\u201d Cherry said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cGiven this long history, it means a lot to me for SIAM to acknowledge my contributions in this way.\u201d\u003C\/p\u003E\u003Cp\u003EScheinberg, from Georgia Tech\u2019s College of Engineering, was selected for her foundational contributions to derivative-free optimization and optimization applications in data science and her dedicated service to the optimization community.\u003C\/p\u003E\u003Cp\u003E[Related:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/news\/coca-cola-foundation-chair-katya-scheinberg-selected-2025-class-siam-fellows\u0022\u003ECoca-Cola Foundation Chair Katya Scheinberg selected for 2025 Class of SIAM Fellows\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003ECherry is the fifth faculty member from the\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/fellowships-and-awards\u0022\u003ESchool of Computational Science and Engineering (CSE) to be selected as a SIAM Fellow\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003ECherry\u2019s announcement as a SIAM Fellow comes weeks after serving in a leadership role at a SIAM conference. She co-chaired the organizing committee of the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/school-present-research-weather-prediction-carbon-storage-nuclear-fusion-and-more-computing\u0022\u003ESIAM Conference on Computational Science and Engineering (CSE25)\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003EIn 2023,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.siam.org\/publications\/siam-news\/articles\/siam-introduces-its-newly-elected-leadership\/\u0022\u003ESIAM members reelected Cherry\u003C\/a\u003E to a second term as a council member-at-large. She began her three-year term in January 2024.\u003C\/p\u003E\u003Cp\u003E\u0022SIAM Fellows are selected for deep mathematical contributions. Receiving Fellow status is a high honor for any applied mathematician,\u0022 said Regents\u2019 Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/faculty-wins-award-trailblazing-work-computing-and-biology\u0022\u003ESrinivas Aluru\u003C\/a\u003E, senior associate dean of the College of Computing and Class of 2020 SIAM Fellow.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0022Not only are Elizabeth\u0027s contributions technically outstanding, but her work also provides deep insights into the functioning of the heart and its abnormalities.\u0022\u003C\/p\u003E\u003Cp\u003ECherry\u2019s leadership and service extends outside of SIAM, influencing students and faculty across Georgia Tech.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIn December, the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/new-team-associate-deans-ready-advance-college-initiatives\u0022\u003ECollege of Computing appointed Cherry as associate dean for graduate education\u003C\/a\u003E. Before this appointment, she served as associate chair for academic affairs of the School of CSE.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EWith her new role as associate dean, Cherry continues serving as director of CSE programs at Georgia Tech.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIn March 2024, Cherry was among five Georgia Tech faculty members selected for the\u0026nbsp;\u003Ca href=\u0022https:\/\/news.gatech.edu\/news\/2024\/03\/04\/new-cohort-acc-academic-leaders-network-fellows-selected\u0022\u003EACC Academic Leaders Network (ACC ALN) Fellows program\u003C\/a\u003E. The ALN program fosters cross-institutional networking and collaboration between ACC schools, increasing each institution\u2019s academic leadership capacity.\u003C\/p\u003E\u003Cp\u003ECherry was part of a team of Georgia Tech and Emory University researchers who won a\u0026nbsp;\u003Ca href=\u0022https:\/\/research.gatech.edu\/georgia-tech-and-emory-researchers-win-award-arrhythmia-research\u0022\u003EGeorgia Clinical and Translational Science Alliance award in 2023\u003C\/a\u003E. The group earned the Team Science Award of Distinction for Early Stage Research Teams award for work that captures high-resolution visualizations of spiral waves that create heart arrhythmias.\u003C\/p\u003E\u003Cp\u003ESIAM will recognize Cherry, Scheinberg, and Class of 2025 fellows during a reception at the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.siam.org\/conferences-events\/siam-conferences\/an25\/\u0022\u003ESIAM\/CAIMS Annual Meetings\u003C\/a\u003E this July in Montr\u00e9al.\u003C\/p\u003E\u003Cp\u003E\u201cIt is such an honor to be recognized as a SIAM Fellow,\u201d Cherry said. \u201cI\u2019m thrilled to join my CSE colleagues who have also received this recognition.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ETwo faculty members represented Georgia Tech as new fellows to the world\u2019s leading organization dedicated to applied mathematics, computational science, and data science.\u003C\/p\u003E\u003Cp\u003EThe Society for Industrial and Applied Mathematics (SIAM) selected\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/elizabeth-cherry\u0022\u003EElizabeth Cherry\u003C\/a\u003E and\u0026nbsp;\u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/users\/katya-scheinberg\u0022\u003EKatya Scheinberg\u003C\/a\u003E as\u0026nbsp;\u003Ca href=\u0022https:\/\/www.siam.org\/publications\/siam-news\/articles\/siam-announces-2025-class-of-fellows\/\u0022\u003EClass of 2025 fellows\u003C\/a\u003E. The two Georgia Tech faculty join an illustrious class of 23 other researchers from around the globe in this year\u2019s class.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ESIAM selected Cherry to recognize her contributions to mathematical and computational modeling and extensive service to the SIAM community. She studies the electrical behavior of cardiac cells and tissue.\u003C\/p\u003E\u003Cp\u003EScheinberg, from Georgia Tech\u2019s College of Engineering, was selected for her foundational contributions to derivative-free optimization and optimization applications in data science and her dedicated service to the optimization community.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The Society for Industrial and Applied Mathematics (SIAM) selected Elizabeth Cherry and Katya Scheinberg as Class of 2025 fellows. "}],"uid":"36319","created_gmt":"2025-04-11 13:11:10","changed_gmt":"2025-04-25 14:41:38","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2025-04-11T00:00:00-04:00","iso_date":"2025-04-11T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"676817":{"id":"676817","type":"image","title":"2025-SIAM-Fellow-v2.jpg","body":null,"created":"1744386291","gmt_created":"2025-04-11 15:44:51","changed":"1744386291","gmt_changed":"2025-04-11 15:44:51","alt":"Elizabeth Cherry SIAM Fellow","file":{"fid":"260661","name":"2025-SIAM-Fellow-v2.jpg","image_path":"\/sites\/default\/files\/2025\/04\/11\/2025-SIAM-Fellow-v2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/04\/11\/2025-SIAM-Fellow-v2.jpg","mime":"image\/jpeg","size":133435,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/04\/11\/2025-SIAM-Fellow-v2.jpg?itok=PzGSlgfb"}}},"media_ids":["676817"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"146","name":"Life Sciences and Biology"},{"id":"134","name":"Student and Faculty"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"187915","name":"go-researchnews"},{"id":"9153","name":"Research Horizons"},{"id":"10199","name":"Daily Digest"},{"id":"181991","name":"Georgia Tech News Center"},{"id":"167311","name":"SIAM"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[{"id":"71881","name":"Science and Technology"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"682027":{"#nid":"682027","#data":{"type":"news","title":"School Award Winners Impress on World, National, and Institute Stages","body":[{"value":"\u003Cp\u003EThe dictionary is the only place where success comes before work. The College of Computing\u2019s 34th Annual Awards Celebration on April 8 offered a venue to honor the hard work and ensuing success of students, faculty, staff, and alumni in 2024-2025.\u003C\/p\u003E\u003Cp\u003E\u201cIn this past year, my first as the dean of computing, I have seen exactly how much work it takes from everyone to keep this community going, not to mention excelling,\u201d said Vivek Sarkar, dean and John P. Imlay Jr. Chair of the College of Computing.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cWe are strong across the board, and that makes our winners all the more impressive.\u201d\u003C\/p\u003E\u003Cp\u003EThe School of Computational Science and Engineering (CSE) is one unit that reinforces the College\u2019s emphasis on collaboration, problem solving, and excellence. By earning awards this year at the College, Institute, and levels beyond, the School of CSE continues to distinguish itself as a top-tier department for research and learning.\u003C\/p\u003E\u003Cp\u003ESelect award winners from the School of CSE recognized at this year\u2019s banquet were:\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EProfessor Polo Chau- Dean\u2019s Award\u003C\/li\u003E\u003Cli\u003EPratham Mehta, M.S. CS student- The Donald V. Jackson Fellowship\u003C\/li\u003E\u003Cli\u003EParisa Babolhavaeji- The Marshall D. Williamson Fellowship\u003C\/li\u003E\u003Cli\u003EAeree Cho, Ph.D. student- Rising Star Doctoral Student Research Award\u003C\/li\u003E\u003Cli\u003EAlumnus Zijie (Jay) Wang (Ph.D. ML-CSE 2024)- Outstanding Doctoral Dissertation Award\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EThe College of Computing also recognized awardees with ties to the School of CSE. These included:\u0026nbsp;\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003ELecturer and alumnus Max Roozbahani (Ph.D. CSE 2019)- William A. \u0022gus\u0022 Baird Faculty Teaching Award. Instructor of the online section of \u003Cem\u003ECSE6242: Data and Visual Analytics\u003C\/em\u003E.\u003C\/li\u003E\u003Cli\u003ELecturer and alumnus Nimisha Roy (Ph.D. CSE 2021)- William D. \u0022Bill\u0022 Leahy Jr. Outstanding Instructor Award\u003C\/li\u003E\u003Cli\u003ETeaching Assistant Susanta Routray- Outstanding Instructional Associate Teaching Award. Co-head TA of the online section of \u003Cem\u003ECSE6242: Data and Visual Analytics\u003C\/em\u003E.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EChau teaches the CSE6242 course, and advises Babolhavaeji, Cho, Mehta, and Wang. Along with the College of Computing awards, Chau received the Innovator\u2019s Award at the \u003Ca href=\u0022https:\/\/www.analytics.gatech.edu\/10th-anniversary\u0022\u003E\u003Cstrong\u003EM.S. Analytics Ten Year Anniversary\u003C\/strong\u003E\u003C\/a\u003E. He has served as the program\u2019s associate director since 2014 and over 1,000 students have taken his data and visual analytics course each semester in recent years.\u003C\/p\u003E\u003Cp\u003EAlong with receiving the College of Computing\u2019s dissertation, Wang received a \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/thesis-human-centered-ai-earns-honors-international-computing-organization\u0022\u003E\u003Cstrong\u003E2025 Outstanding Dissertation Award\u003C\/strong\u003E\u003C\/a\u003E from the Association for Computing Machinery Special Interest Group on Computer-Human Interaction (ACM SIGCHI).\u003C\/p\u003E\u003Cp\u003ESIGCHI is the world\u2019s largest association of human-computer interaction professionals and practitioners. Wang is one of five recipients of the award this year.\u003C\/p\u003E\u003Cp\u003EEarlier in the year, Forbes recognized Wang by naming him to its \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/research-ai-safety-lands-recent-graduate-forbes-30-under-30\u0022\u003E\u003Cstrong\u003E30 Under 30 in Science for 2025\u003C\/strong\u003E\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EWang\u2019s dissertation earned him the \u003Ca href=\u0022https:\/\/bpb-us-e1.wpmucdn.com\/sites.gatech.edu\/dist\/0\/283\/files\/2025\/03\/2025-Sigma-Xi-Research-Award-Winners.pdf\u0022\u003E\u003Cstrong\u003E2025 Best Ph.D. Thesis Award from the Georgia Tech Sigma Chi\u003C\/strong\u003E\u003C\/a\u003E chapter.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAt the same ceremony, Sigma Chi presented Regents\u2019 Professor Mark Borodovsky with the \u003Ca href=\u0022https:\/\/bme.gatech.edu\/bme\/news\/researchers-develop-game-changing-gene-prediction-algorithms\u0022\u003E\u003Cstrong\u003EBest Faculty Paper Award for his work on GeneMark-ETP\u003C\/strong\u003E\u003C\/a\u003E. Borodovsky holds joint appointments with the School of CSE and the Wallace H. Coulter Department of Biomedical Engineering.\u003C\/p\u003E\u003Cp\u003ETrailblazing work in biocomputing earned Regents\u2019 Professor Srinivas Aluru the \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/faculty-wins-award-trailblazing-work-computing-and-biology\u0022\u003E\u003Cstrong\u003E2025 Charles Babbage Award\u003C\/strong\u003E\u003C\/a\u003E. The Institute of Electrical and Electronics Engineers Computer Society (IEEE CS) presented the award for Aluru\u2019s pioneering contributions intersecting parallel computing and computational biology.\u003C\/p\u003E\u003Cp\u003ENews of Aluru\u2019s Babbage Award arrived at the same time the College of Computing announced the appointments of associate deans. The College appointed Aluru as senior associate dean, and Associate Professor Elizabeth Cherry became associate dean for graduate education.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/new-team-associate-deans-ready-advance-college-initiatives\u0022\u003E\u003Cstrong\u003EAluru and Cherry\u2019s appointments\u003C\/strong\u003E\u003C\/a\u003E marked the first time in the School\u2019s history that faculty represented the School as associate deans.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAluru ended his role as executive director of Georgia Tech\u2019s Institute for Data Engineering and Science (IDEaS) when he accepted the senior associate dean role. In his place\u003Ca href=\u0022https:\/\/research.gatech.edu\/david-sherrill-serve-interim-director-institute-data-engineering-and-science\u0022\u003E\u003Cstrong\u003E, IDEaS appointed Regents\u2019 Professor C. David Sherrill as interim executive director\u003C\/strong\u003E\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ESherrill holds joint appointments with CSE and the School of Chemistry and Biochemistry. He has served as associate director of IDEaS since its founding in 2016. His appointment as interim executive director comes after his election to the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.iaqms.org\/news.php\u0022\u003E\u003Cstrong\u003EInternational Academy of Quantum Molecular Science (IAQMS)\u003C\/strong\u003E\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003ECherry\u0027s appointment as associate dean was one of many accolades she received in 2025. In March, the \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/faculty-earn-fellowships-heart-modeling-and-data-optimization-research\u0022\u003E\u003Cstrong\u003ESociety for Industrial and Applied Mathematics (SIAM) selected her as a Class of 2025 Fellow\u003C\/strong\u003E\u003C\/a\u003E, recognizing her contributions to computational cardiology research and extensive service to the SIAM community. Cherry is the fifth faculty member from the School of CSE selected as a SIAM Fellow.\u003C\/p\u003E\u003Cp\u003ECherry co-chaired the organizing committee for the \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/school-present-research-weather-prediction-carbon-storage-nuclear-fusion-and-more-computing\u0022\u003E\u003Cstrong\u003ESIAM Conference on Computational Science and Engineering (CSE25)\u003C\/strong\u003E\u003C\/a\u003E. She is also serving a second consecutive term as a SIAM council member-at-large.\u003C\/p\u003E\u003Cp\u003EMembers of the SIAM Activity Group on Computational Science and Engineering (\u003Ca href=\u0022https:\/\/www.siam.org\/get-involved\/connect-with-a-community\/activity-groups\/computational-science-and-engineering\/leadership\/\u0022\u003E\u003Cstrong\u003ESIAG\/CSE\u003C\/strong\u003E\u003C\/a\u003E) elected School of CSE Professor and Associate Chair Edmond Chow as vice chair. Chow\u2019s two-year term began in January after serving as the group\u2019s program director.\u003C\/p\u003E\u003Cp\u003ECherry previously served as the School of CSE\u2019s associate chair for academic affairs. When she accepted her new associate dean role, the School appointed B. Aditya Prakash as associate chair.\u003C\/p\u003E\u003Cp\u003EPrakash was one of \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/computing-celebrates-2025-faculty-promotion-and-tenure-cases\u0022\u003E\u003Cstrong\u003Ethree School of CSE faculty members who received promotions\u003C\/strong\u003E\u003C\/a\u003E that take effect in July. He was promoted to full professor. Assistant Professors Chao Zhang and Xiuwei Zhang earned tenure and promotions. Each has been promoted to associate professor.\u003C\/p\u003E\u003Cp\u003EPrakash advised Alexander Rodr\u00edguez (Ph.D. CS 2023), now an assistant professor at the University of Michigan. Rodr\u00edguez won an \u003Ca href=\u0022https:\/\/kdd2024.kdd.org\/awards\/\u0022\u003E\u003Cstrong\u003Eoutstanding dissertation award runner-up at the International Conference on Knowledge Discovery and Data Mining (KDD 2024)\u003C\/strong\u003E\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003ERodr\u00edguez\u2019s dissertation on \u003Ca href=\u0022https:\/\/repository.gatech.edu\/entities\/publication\/aa292b79-26bb-4aec-a3f3-0fd87911ff74\u0022\u003E\u003Cem\u003E\u003Cstrong\u003EArtificial Intelligence for Data-centric Surveillance and Forecasting of Epidemics\u003C\/strong\u003E\u003C\/em\u003E\u003C\/a\u003E earned him the College of Computing\u0027s Outstanding Dissertation Award in 2024.\u003C\/p\u003E\u003Cp\u003EAssistant Professor Florian Sch\u00e4fer co-authored a paper selected for one of five\u0026nbsp;\u003Ca href=\u0022https:\/\/blog.siggraph.org\/2024\/06\/siggraph-2024-technical-papers-awards-best-papers-honorable-mentions-and-test-of-time.html\/\u0022\u003E\u003Cstrong\u003Ebest technical paper awards\u003C\/strong\u003E\u003C\/a\u003E at the annual conference for ACM\u2019s Special Interest Group on Computer Graphics and Interactive Techniques (SIGGRAPH 24).\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ESch\u00e4fer\u2019s work in numerical computation and statistical inference led to his appointment as an \u003Ca href=\u0022https:\/\/news.research.gatech.edu\/ims-initiative-lead-q-and-florian-schafer\u0022\u003E\u003Cstrong\u003Einitiative lead\u003C\/strong\u003E\u003C\/a\u003E within Georgia Tech\u2019s Institute for Matter and Systems (IMS). IMS selected Sch\u00e4fer to lead the initiative on Matter and Information, looking to him to facilitate innovative approaches and impact in alignment with\u0026nbsp;\u003Ca href=\u0022https:\/\/matter-systems.research.gatech.edu\/our-mission\u0022\u003E\u003Cstrong\u003EIMS\u2019 mission\u003C\/strong\u003E\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003EAssistant Professor Spencer Bryngelson and his group received an\u0026nbsp;\u003Ca href=\u0022https:\/\/allocations.access-ci.org\/allocations-policy#maximize-access-projects\u0022\u003E\u003Cstrong\u003EACCESS-CI Maximize\u003C\/strong\u003E\u003C\/a\u003E allocation from the National Science Foundation. The award amounts to 225,000 GPU hours annually to run their multiphase fluid flow simulation algorithms on powerful supercomputers.\u003C\/p\u003E\u003Cp\u003EOne of Bryngelson\u2019s Ph.D. students, Ben Wilfong, received the 2024-2025\u0026nbsp;\u003Ca href=\u0022https:\/\/crnch.gatech.edu\/crnch-fellowship\/\u0022\u003E\u003Cstrong\u003ECRNCH Fellowship\u003C\/strong\u003E\u003C\/a\u003E. Wilfong will use the fellowship to optimize superchip architectures, such as NVIDIA Grace Hopper and AMD MI300A.\u003C\/p\u003E\u003Cp\u003EEarly in the year, Suzan Manasreh and Elizabeth Hong won President\u2019s Undergraduate Research Awards (\u003Ca href=\u0022https:\/\/undergradresearch.gatech.edu\/content\/presidents-undergraduate-research-awards\u0022\u003E\u003Cstrong\u003EPURA\u003C\/strong\u003E\u003C\/a\u003E) for Fall 2024. Manasreh studies in Bryngelson\u2019s group, and Professor Rich Vuduc advises Hong.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EM.S. CSE student Grace Driskill attained achievement in the classroom, on the track, and cross country courses. \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/computing-student-runs-history-books-athletic-and-academic-achievement\u0022\u003E\u003Cstrong\u003EThe first-ever School of CSE student-athlete\u003C\/strong\u003E\u003C\/a\u003E earned a third selection to an All-ACC academic team.\u003C\/p\u003E\u003Cp\u003EDriskill made history by recording the fourth fastest 3000-meter time in history of the Georgia Tech Women\u2019s Indoor Track program. She clocked a 9:22.21 on Feb. 15 at Boston University\u2019s David Hemery Valentine Invitational.\u003C\/p\u003E\u003Cp\u003EStudents praised Assistant Professor Rapha\u00ebl Pestourie, who was selected for the\u0026nbsp;\u003Ca href=\u0022https:\/\/blog.ctl.gatech.edu\/2025\/01\/15\/fall-2024-cios-honor-roll\/\u0022\u003E\u003Cstrong\u003EFall 2024 CIOS Honor Roll\u003C\/strong\u003E\u003C\/a\u003E. The honor roll recognized Pestourie for outstanding teaching and educational impact through his \u003Cem\u003ECSE 8803: Scientific Machine Learning\u003C\/em\u003E course.\u003C\/p\u003E\u003Cp\u003EIn the waning weeks of the semester, CSE-AE Ph.D. student Atticus Rex received the \u003Ca href=\u0022https:\/\/news.gatech.edu\/news\/2025\/04\/15\/nsf-awards-fellowships-georgia-tech-graduate-students\u0022\u003E\u003Cstrong\u003ENSF Graduate Research Fellowship Program (GRFP) award\u003C\/strong\u003E\u003C\/a\u003E for computational and data-enabled science research. Rex is advised by Assistant Professor Elizabeth Qian, who holds joint appointments with the School of CSE and the Daniel Guggenheim School of Aerospace Engineering.\u003C\/p\u003E\u003Cp\u003EIn March, the \u003Ca href=\u0022https:\/\/www.businesswire.com\/news\/home\/20250408123690\/en\/Multiscale-Technologiess-Surya-Kalidindi-Named-2025-AIME-Honorary-Membership-Award-Recipient\u0022\u003E\u003Cstrong\u003EAmerican Institute of Mining, Metallurgical and Petroleum Engineers (AIME) awarded honorary membership to Regents\u2019 Professor Surya Kalidindi\u003C\/strong\u003E\u003C\/a\u003E. Kalidindi is affiliated with the School of CSE, the George W. Woodruff School of Mechanical Engineering, and the School of Materials Science and Engineering.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe dictionary is the only place where success comes before work. The College of Computing\u2019s 34th Annual Awards Celebration on April 8 offered a venue to honor the hard work and ensuing success of students, faculty, staff, and alumni in 2024-2025.\u003C\/p\u003E\u003Cp\u003E\u201cIn this past year, my first as the dean of computing, I have seen exactly how much work it takes from everyone to keep this community going, not to mention excelling,\u201d said Vivek Sarkar, dean and John P. Imlay Jr. Chair of the College of Computing.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cWe are strong across the board, and that makes our winners all the more impressive.\u201d\u003C\/p\u003E\u003Cp\u003EThe School of Computational Science and Engineering (CSE) is one unit that reinforces the College\u2019s emphasis on collaboration, problem solving, and excellence. By earning awards this year at the College, Institute, and levels beyond, the School of CSE continues to distinguish itself as a top-tier department for research and learning.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"By earning awards this year at the College, Institute, and levels beyond, the School of Computational Science and Engineering (CSE) continues to distinguish itself as a top-tier department for research and learning."}],"uid":"36319","created_gmt":"2025-04-25 14:09:19","changed_gmt":"2025-04-25 14:11:53","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2025-04-25T00:00:00-04:00","iso_date":"2025-04-25T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"676943":{"id":"676943","type":"image","title":"CSE-Awards-Story.jpg","body":null,"created":"1745590173","gmt_created":"2025-04-25 14:09:33","changed":"1745590173","gmt_changed":"2025-04-25 14:09:33","alt":"College of Computing 34th Annual Awards Celebration","file":{"fid":"260794","name":"CSE-Awards-Story.jpg","image_path":"\/sites\/default\/files\/2025\/04\/25\/CSE-Awards-Story.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/04\/25\/CSE-Awards-Story.jpg","mime":"image\/jpeg","size":197928,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/04\/25\/CSE-Awards-Story.jpg?itok=jmbn5opi"}}},"media_ids":["676943"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/school-award-winners-impress-world-national-and-institute-stages","title":"School Award Winners Impress on World, National, and Institute Stages"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"193158","name":"Student Competition Winners (academic, innovation, and research)"},{"id":"193157","name":"Student Honors and Achievements"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"681961":{"#nid":"681961","#data":{"type":"news","title":"Thesis on Human-Centered AI Earns Honors from International Computing Organization","body":[{"value":"\u003Cp\u003EA Georgia Tech alum\u2019s dissertation introduced ways to make artificial intelligence (AI) more accessible, interpretable, and accountable. Although it\u2019s been a year since his doctoral defense,\u0026nbsp;\u003Ca href=\u0022https:\/\/zijie.wang\/\u0022\u003E\u003Cstrong\u003EZijie (Jay) Wang\u003C\/strong\u003E\u003C\/a\u003E\u2019s (Ph.D. ML-CSE 2024) work continues to resonate with researchers.\u003C\/p\u003E\u003Cp\u003EWang is a recipient of the\u0026nbsp;\u003Ca href=\u0022https:\/\/medium.com\/sigchi\/announcing-the-2025-acm-sigchi-awards-17c1feaf865f\u0022\u003E\u003Cstrong\u003E2025 Outstanding Dissertation Award from the Association for Computing Machinery Special Interest Group on Computer-Human Interaction (ACM SIGCHI)\u003C\/strong\u003E\u003C\/a\u003E. The award recognizes Wang for his lifelong work on democratizing human-centered AI.\u003C\/p\u003E\u003Cp\u003E\u201cThroughout my Ph.D. and industry internships, I observed a gap in existing research: there is a strong need for practical tools for applying human-centered approaches when designing AI systems,\u201d said Wang, now a safety researcher at OpenAI.\u003C\/p\u003E\u003Cp\u003E\u201cMy work not only helps people understand AI and guide its behavior but also provides user-friendly tools that fit into existing workflows.\u201d\u003C\/p\u003E\u003Cp\u003E[Related: \u003Ca href=\u0022https:\/\/sites.gatech.edu\/research\/chi-2025\/\u0022\u003EGeorgia Tech College of Computing Swarms to Yokohama, Japan, for CHI 2025\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003EWang\u2019s dissertation presented techniques in visual explanation and interactive guidance to align AI models with user knowledge and values. The work culminated from years of research, fellowship support, and internships.\u003C\/p\u003E\u003Cp\u003EWang\u2019s most influential projects formed the core of his dissertation. These included:\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/poloclub.github.io\/cnn-explainer\/\u0022\u003E\u003Cstrong\u003ECNN Explainer\u003C\/strong\u003E\u003C\/a\u003E: an open-source tool developed for deep-learning beginners. Since its release in July 2020, more than 436,000 global visitors have used the tool.\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/poloclub.github.io\/diffusiondb\/\u0022\u003E\u003Cstrong\u003EDiffusionDB\u003C\/strong\u003E\u003C\/a\u003E: a first-of-its-kind large-scale dataset that lays a foundation to help people better understand generative AI. This work could lead to new research in detecting deepfakes and designing human-AI interaction tools to help people more easily use these models.\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/interpret.ml\/gam-changer\/\u0022\u003E\u003Cstrong\u003EGAM Changer\u003C\/strong\u003E\u003C\/a\u003E: an interface that empowers users in healthcare, finance, or other domains to edit ML models to include knowledge and values specific to their domain, which improves reliability.\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.jennwv.com\/papers\/gamcoach.pdf\u0022\u003E\u003Cstrong\u003EGAM Coach\u003C\/strong\u003E\u003C\/a\u003E: an interactive ML tool that could help people who have been rejected for a loan by automatically letting an applicant know what is needed for them to receive loan approval. \u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/new-tool-teaches-responsible-ai-practices-when-using-large-language-models\u0022\u003E\u003Cstrong\u003EFarsight\u003C\/strong\u003E\u003C\/a\u003E: a tool that alerts developers when they write prompts in large language models that could be harmful and misused. \u0026nbsp;\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u201cI feel extremely honored and lucky to receive this award, and I am deeply grateful to many who have supported me along the way, including Polo, mentors, collaborators, and friends,\u201d said Wang, who was advised by School of Computational Science and Engineering (CSE) Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/poloclub.github.io\/polochau\/\u0022\u003E\u003Cstrong\u003EPolo Chau\u003C\/strong\u003E\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003E\u201cThis recognition also inspired me to continue striving to design and develop easy-to-use tools that help everyone to easily interact with AI systems.\u201d\u003C\/p\u003E\u003Cp\u003ELike Wang, Chau advised Georgia Tech alumnus\u0026nbsp;\u003Ca href=\u0022https:\/\/fredhohman.com\/\u0022\u003EFred Hohman\u003C\/a\u003E (Ph.D. CSE 2020).\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/alumnus-building-legacy-through-dissertation-and-mentorship\u0022\u003EHohman won the ACM SIGCHI Outstanding Dissertation Award in 2022\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/poloclub.github.io\/\u0022\u003EChau\u2019s group\u003C\/a\u003E synthesizes machine learning (ML) and visualization techniques into scalable, interactive, and trustworthy tools. These tools increase understanding and interaction with large-scale data and ML models.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EChau is the associate director of corporate relations for the Machine Learning Center at Georgia Tech. Wang called the School of CSE his home unit while a student in the ML program under Chau.\u003C\/p\u003E\u003Cp\u003EWang is one of five recipients of this year\u2019s award to be presented at the 2025 Conference on Human Factors in Computing Systems (\u003Ca href=\u0022https:\/\/chi2025.acm.org\/\u0022\u003ECHI 2025\u003C\/a\u003E). The conference occurs April 25-May 1 in Yokohama, Japan.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ESIGCHI is the world\u2019s largest association of human-computer interaction professionals and practitioners. The group sponsors or co-sponsors 26 conferences, including CHI.\u003C\/p\u003E\u003Cp\u003EWang\u2019s outstanding dissertation award is the latest recognition of a career decorated with achievement.\u003C\/p\u003E\u003Cp\u003EMonths after graduating from Georgia Tech,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/research-ai-safety-lands-recent-graduate-forbes-30-under-30\u0022\u003EForbes named Wang to its 30 Under 30 in Science for 2025\u003C\/a\u003E for his dissertation. Wang was one of 15 Yellow Jackets included in nine different 30 Under 30 lists and the only Georgia Tech-affiliated individual on the 30 Under 30 in Science list.\u003C\/p\u003E\u003Cp\u003EWhile a Georgia Tech student, Wang earned recognition from big names in business and technology. He received the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/student-named-apple-scholar-connecting-people-machine-learning\u0022\u003EApple Scholars in AI\/ML Ph.D. Fellowship in 2023\u003C\/a\u003E and was in the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/georgia-tech-machine-learning-students-earn-jp-morgan-ai-phd-fellowships\u0022\u003E2022 cohort of the J.P. Morgan AI Ph.D. Fellowships Program\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003EAlong with the CHI award, Wang\u2019s dissertation earned him awards this year at banquets across campus. The\u0026nbsp;\u003Ca href=\u0022https:\/\/bpb-us-e1.wpmucdn.com\/sites.gatech.edu\/dist\/0\/283\/files\/2025\/03\/2025-Sigma-Xi-Research-Award-Winners.pdf\u0022\u003EGeorgia Tech chapter of Sigma Xi presented Wang with the Best Ph.D. Thesis Award\u003C\/a\u003E. He also received the College of Computing\u2019s Outstanding Dissertation Award.\u003C\/p\u003E\u003Cp\u003E\u201cGeorgia Tech attracts many great minds, and I\u2019m glad that some, like Jay, chose to join our group,\u201d Chau said. \u201cIt has been a joy to work alongside them and witness the many wonderful things they have accomplished, and with many more to come in their careers.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EA Georgia Tech alum\u2019s dissertation introduced ways to make artificial intelligence (AI) more accessible, interpretable, and accountable. Although it\u2019s been a year since his doctoral defense,\u0026nbsp;\u003Ca href=\u0022https:\/\/zijie.wang\/\u0022\u003E\u003Cstrong\u003EZijie (Jay) Wang\u003C\/strong\u003E\u003C\/a\u003E\u2019s (Ph.D. ML-CSE 2024) work continues to resonate with researchers.\u003C\/p\u003E\u003Cp\u003EWang is a recipient of the\u0026nbsp;\u003Ca href=\u0022https:\/\/medium.com\/sigchi\/announcing-the-2025-acm-sigchi-awards-17c1feaf865f\u0022\u003E\u003Cstrong\u003E2025 Outstanding Dissertation Award from the Association for Computing Machinery Special Interest Group on Computer-Human Interaction (ACM SIGCHI)\u003C\/strong\u003E\u003C\/a\u003E. The award recognizes Wang for his lifelong work on democratizing human-centered AI.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":" Zijie (Jay) Wang (Ph.D. ML-CSE 2024) is a recipient of the 2025 Outstanding Dissertation Award from the Association for Computing Machinery Special Interest Group on Computer-Human Interaction (ACM SIGCHI)."}],"uid":"36319","created_gmt":"2025-04-22 14:24:46","changed_gmt":"2025-04-22 14:29:07","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2025-04-17T00:00:00-04:00","iso_date":"2025-04-17T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"676903":{"id":"676903","type":"image","title":"Jay-Wang-SIGCHI-Dissertation-Award.jpg","body":null,"created":"1745331896","gmt_created":"2025-04-22 14:24:56","changed":"1745331896","gmt_changed":"2025-04-22 14:24:56","alt":"Zijie (Jay) Wang CHI 2025","file":{"fid":"260750","name":"Jay-Wang-SIGCHI-Dissertation-Award.jpg","image_path":"\/sites\/default\/files\/2025\/04\/22\/Jay-Wang-SIGCHI-Dissertation-Award.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/04\/22\/Jay-Wang-SIGCHI-Dissertation-Award.jpg","mime":"image\/jpeg","size":99526,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/04\/22\/Jay-Wang-SIGCHI-Dissertation-Award.jpg?itok=_QvwIP00"}},"673947":{"id":"673947","type":"image","title":"Farsight CHI.jpg","body":null,"created":"1714954253","gmt_created":"2024-05-06 00:10:53","changed":"1714954253","gmt_changed":"2024-05-06 00:10:53","alt":"CHI 2024 Farsight","file":{"fid":"257404","name":"Farsight CHI.jpg","image_path":"\/sites\/default\/files\/2024\/05\/05\/Farsight%20CHI.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/05\/05\/Farsight%20CHI.jpg","mime":"image\/jpeg","size":139358,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/05\/05\/Farsight%20CHI.jpg?itok=6genJVjw"}}},"media_ids":["676903","673947"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/thesis-human-centered-ai-earns-honors-international-computing-organization","title":"Thesis on Human-Centered AI Earns Honors from International Computing Organization"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"155","name":"Congressional Testimony"},{"id":"143","name":"Digital Media and Entertainment"},{"id":"131","name":"Economic Development and Policy"},{"id":"42911","name":"Education"},{"id":"144","name":"Energy"},{"id":"145","name":"Engineering"},{"id":"154","name":"Environment"},{"id":"42921","name":"Exhibitions"},{"id":"42891","name":"Georgia Tech Arts"},{"id":"179356","name":"Industrial Design"},{"id":"129","name":"Institute and Campus"},{"id":"132","name":"Institute Leadership"},{"id":"194248","name":"International Education"},{"id":"146","name":"Life Sciences and Biology"},{"id":"147","name":"Military Technology"},{"id":"148","name":"Music and Music Technology"},{"id":"149","name":"Nanotechnology and Nanoscience"},{"id":"42931","name":"Performances"},{"id":"150","name":"Physics and Physical Sciences"},{"id":"151","name":"Policy, Social Sciences, and Liberal Arts"},{"id":"135","name":"Research"},{"id":"152","name":"Robotics"},{"id":"133","name":"Special Events and Guest Speakers"},{"id":"193157","name":"Student Honors and Achievements"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"187812","name":"artificial intelligence (AI)"},{"id":"181991","name":"Georgia Tech News Center"},{"id":"10199","name":"Daily Digest"},{"id":"9153","name":"Research Horizons"},{"id":"187915","name":"go-researchnews"},{"id":"192863","name":"go-ai"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"681454":{"#nid":"681454","#data":{"type":"news","title":"Meet CSE Profile: Grace Driskill","body":[{"value":"\u003Cp\u003EGrace Driskill made Georgia Tech history when she arrived on campus in 2023. She is the first student-athlete to study computational science and engineering (CSE). While this is a notable benchmark, Driskill\u2019s achievements on the track and in the classroom defined her career at Georgia Tech.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAs a competitive runner, Driskill holds the fourth-fastest 3000-meter time in the history of Georgia Tech\u2019s women\u0027s indoor track program. Off the track, Driskill is a three-time All-ACC Academic team honoree on the women\u2019s cross-country and track teams, and in 2024, she received the College of Computing\u2019s\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/college-computing-annual-awards-and-honors\u0022\u003EDonald V. Jackson Fellowship\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EWe caught up with Driskill to learn more about her and how she balances academic and athletic responsibilities.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E[Related:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/computing-student-runs-history-books-athletic-and-academic-achievement\u0022\u003EComputing Student Runs into History Books for Athletic and Academic Achievement\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EStudent:\u0026nbsp;\u003C\/strong\u003EGrace Driskill\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECurrent Degree Program:\u003C\/strong\u003E M.S. in Computational Science and Engineering\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EResearch Interests\u003C\/strong\u003E: Computational biology, computing applications toward health\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EHometown\u003C\/strong\u003E: Tucson, Arizona\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhere are you from, and how did you get to Georgia Tech?\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EI grew up in Tucson, Arizona. I attended the University of Arizona, earning a bachelor\u2019s degree in computer science while running on the track and field team. When I finished my undergraduate, I still had two seasons of eligibility to run track. I looked into master\u2019s programs so that I could continue my athletic career and expand my horizons academically.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe cards fell into place for me to come here. Georgia Tech has a great reputation as a school for computing and engineering. Additionally, the cross country and women\u2019s track coach,\u0026nbsp;\u003Ca href=\u0022https:\/\/ramblinwreck.com\/drosky-to-take-reins-of-cross-country-track-and-field-programs\/\u0022\u003EAlan Drosky\u003C\/a\u003E, is very experienced and knowledgeable in coaching distance runners.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EYou are the first ever student-athlete in the School of CSE\u2019s history. What does this mean to you? What does it mean for the CSE program\u003C\/strong\u003E?\u003C\/p\u003E\u003Cp\u003EI didn\u2019t realize I was the first student-athlete in the School of CSE, but I think it\u2019s pretty cool. It is meaningful to me, and hopefully, others, because it goes against the thought that you need to fit into some typical mold to be a student-athlete or to study CSE.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECSE is a challenging degree for any student, let alone a student-athlete. What interested you about the program in the first place\u003C\/strong\u003E?\u003C\/p\u003E\u003Cp\u003EI think the CSE program at Georgia Tech is unique; not many colleges in the U.S. offer a master\u2019s degree in the topic. I like the interdisciplinary nature of it. I enjoyed studying computer science during my undergraduate, but I thought leaning more into computing applications was an interesting opportunity.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECould you describe an average day for you as a CSE student-athlete\u003C\/strong\u003E?\u003C\/p\u003E\u003Cp\u003EAfter eating some breakfast and having a coffee, the first thing I typically do is go for an easy run that might be 3-8 miles. Then, I go to class or do homework for a few hours, making sure to take a break for lunch.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAt 3:30 p.m., I have practice with the team. This typically includes a higher-intensity run and exercises to practice form or help with strength and mobility. After practice, I usually stretch and take an ice bath for recovery. I typically get home around 6-6:30. Then, I\u2019ll eat dinner and maybe do some more work, but I try to get to bed at a decent hour.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhat CSE research areas interest you most and why\u003C\/strong\u003E?\u003C\/p\u003E\u003Cp\u003EComputational biology and applications in healthcare. Health affects everyone throughout their lives, so it is an important topic. Additionally, there are many applications and different angles to use computing in the field.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhat do you do to relax or for fun\u003C\/strong\u003E?\u003C\/p\u003E\u003Cp\u003ECurrently, I have been watching the TV show \u003Cem\u003ESeverance\u003C\/em\u003E. A new episode comes out weekly, so getting together with friends is something relaxing to look forward to. I also like to cook. When I have some free time, I enjoy taking a bit more time while cooking dinner to make something exciting or different.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhat is your proudest achievement at Georgia Tech\u003C\/strong\u003E?\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ELast year, I qualified for the preliminary round of the track national championship. I love representing Georgia Tech at every competition throughout the season, but the opportunity to do it at a higher level and in a more prominent competition was extra special.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhat are your plans after completing your M.S.\u003C\/strong\u003E?\u003C\/p\u003E\u003Cp\u003EAfter graduation, I will work at Sandia National Labs in their Technical Internships to Advance National Security (\u003Ca href=\u0022https:\/\/www.sandia.gov\/careers\/career-possibilities-clone-2\/students-and-postdocs\/internships-co-ops\/institute-programs\/titans-technical-internships-to-advance-national-security\/\u0022\u003ETITANS\u003C\/a\u003E) program.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGrace Driskill made Georgia Tech history when she arrived on campus in 2023. She is the first student-athlete to study computational science and engineering (CSE). While this is a notable benchmark, Driskill\u2019s achievements on the track and in the classroom defined her career at Georgia Tech.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAs a competitive runner, Driskill holds the fourth-fastest 3000-meter time in the history of Georgia Tech\u2019s women\u0027s indoor track program. Off the track, Driskill is a three-time All-ACC Academic team honoree on the women\u2019s cross-country and track teams, and in 2024, she received the College of Computing\u2019s\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/college-computing-annual-awards-and-honors\u0022\u003EDonald V. Jackson Fellowship\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EWe caught up with Driskill to learn more about her and how she balances academic and athletic responsibilities.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Meet Grace Driskill, the first-ever student-athlete in the School of Computational Science and Engineering who holds records in the history books of Georgia Tech\u0027s Cross Country and Track and Field teams and the College of Computing."}],"uid":"36319","created_gmt":"2025-03-31 13:23:39","changed_gmt":"2025-03-31 13:28:27","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2025-03-31T00:00:00-04:00","iso_date":"2025-03-31T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"676715":{"id":"676715","type":"image","title":"Meet-CSE-Grace-Driskill.jpg","body":null,"created":"1743427428","gmt_created":"2025-03-31 13:23:48","changed":"1743427428","gmt_changed":"2025-03-31 13:23:48","alt":"Meet CSE Profile: Grace Driskill","file":{"fid":"260538","name":"Meet-CSE-Grace-Driskill.jpg","image_path":"\/sites\/default\/files\/2025\/03\/31\/Meet-CSE-Grace-Driskill.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/03\/31\/Meet-CSE-Grace-Driskill.jpg","mime":"image\/jpeg","size":131101,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/03\/31\/Meet-CSE-Grace-Driskill.jpg?itok=FRHz0Vln"}},"676716":{"id":"676716","type":"image","title":"Valentine-copy.PNG","body":null,"created":"1743427460","gmt_created":"2025-03-31 13:24:20","changed":"1743427460","gmt_changed":"2025-03-31 13:24:20","alt":"Grace Driskill Valentine Invitational","file":{"fid":"260539","name":"Valentine-copy.PNG","image_path":"\/sites\/default\/files\/2025\/03\/31\/Valentine-copy.PNG","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/03\/31\/Valentine-copy.PNG","mime":"image\/png","size":708067,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/03\/31\/Valentine-copy.PNG?itok=6iwCKgrT"}}},"media_ids":["676715","676716"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"42901","name":"Community"},{"id":"134","name":"Student and Faculty"},{"id":"193157","name":"Student Honors and Achievements"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"172141","name":"GT athletics"},{"id":"188035","name":"cross country"},{"id":"174364","name":"track and field"},{"id":"191124","name":"women\u0027s athletics"},{"id":"10199","name":"Daily Digest"},{"id":"181991","name":"Georgia Tech News Center"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"681164":{"#nid":"681164","#data":{"type":"news","title":"Machine Learning Encoder Improves Weather Forecasting and Tsunami Prediction","body":[{"value":"\u003Cp\u003ESuccessful test results of a new machine learning (ML) technique developed at Georgia Tech could help communities prepare for extreme weather and coastal flooding. The approach could also be applied to other models that predict how natural systems impact society.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EPh.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/ps789.github.io\/\u0022\u003E\u003Cstrong\u003EPhillip Si\u003C\/strong\u003E\u003C\/a\u003E and Assistant Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~pchen402\/\u0022\u003E\u003Cstrong\u003EPeng Chen\u003C\/strong\u003E\u003C\/a\u003E developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.\u003C\/p\u003E\u003Cp\u003EIn experiments predicting medium-range weather forecasting and shallow water wave propagation, \u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2409.00127\u0022\u003E\u003Cstrong\u003ELatent-EnSF\u003C\/strong\u003E\u003C\/a\u003E demonstrated higher accuracy, faster convergence, and greater efficiency than existing methods for sparse data assimilation.\u003C\/p\u003E\u003Cp\u003E\u201cWe are currently involved in an NSF-funded project aimed at providing real-time information on extreme flooding events in Pinellas County, Florida,\u201d said Si, who studies computational science and engineering (CSE).\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cWe\u0027re actively working on integrating Latent-EnSF into the system, which will facilitate accurate and synchronized modeling of natural disasters. This initiative aims to enhance community preparedness and safety measures in response to flooding risks.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ELatent-EnSF outperformed three comparable models in assimilation speed, accuracy, and efficiency in shallow water wave propagation experiments. These tests show models can make better and faster predictions of coastal flood waves, tides, and tsunamis.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIn experiments on medium-range weather forecasting, Latent-EnSF surpassed the same three control models in accuracy, convergence, and time. Additionally, this test demonstrated Latent-EnSF\u0027s scalability compared to other methods.\u003C\/p\u003E\u003Cp\u003EThese promising results support using ML models to simulate climate, weather, and other complex systems.\u003C\/p\u003E\u003Cp\u003ETraditionally, such studies require employment of large, energy-intensive supercomputers. However, advances like Latent-EnSF are making smaller, more efficient ML models feasible for these purposes.\u003C\/p\u003E\u003Cp\u003EThe Georgia Tech team mentioned this comparison in its paper. It takes hours for the European Center for Medium-Range Weather Forecasts computer to run its simulations. Conversely, the ML model FourCastNet calculated the same forecast in seconds.\u003C\/p\u003E\u003Cp\u003E\u201cResolution, complexity, and data-diversity will continue to increase into the future,\u201d said Chen, an assistant professor in the School of CSE.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cTo keep pace with this trend, we believe that ML models and ML-based data assimilation methods will become indispensable for studying large-scale complex systems.\u201d\u003C\/p\u003E\u003Cp\u003EData assimilation is the process by which models continuously ingest new, real-world data to update predictions. This data is often sparse, meaning it is limited, incomplete, or unevenly distributed over time.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ELatent-EnSF builds on the\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2309.00983\u0022\u003E\u003Cstrong\u003EEnsemble Filter Scores (EnSF) model\u003C\/strong\u003E\u003C\/a\u003E developed by Florida State University and Oak Ridge National Laboratory researchers.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EEnSF\u2019s strength is that it assimilates data with many features and unpredictable relationships between data points. However, integrating sparse data leads to lost information and knowledge gaps in the model. Also, such large models may stop learning entirely from small amounts of sparse data.\u003C\/p\u003E\u003Cp\u003EThe Georgia Tech researchers employ two variational autoencoders (VAEs) in Latent-EnSF to help ML models integrate and use real-world data. The VAEs encode sparse data and predictive models together in the same space to assimilate data more accurately and efficiently.\u003C\/p\u003E\u003Cp\u003EIntegrating models with new methods, like Latent-EnSF, accelerates data assimilation. Producing accurate predictions more quickly during real-world crises could save lives and property for communities.\u003C\/p\u003E\u003Cp\u003E[Related:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.stpetersburg.usf.edu\/news\/2024\/flooding-cris-hazard-app-.aspx\u0022\u003E\u003Cstrong\u003EUniversity of South Florida Researchers Track Flooding in Coastal Communities During Hurricanes Helene and Milton\u003C\/strong\u003E\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003ETo share Latent-EnSF to the broader research community, Chen and Si presented their paper at the SIAM Conference on Computational Science and Engineering (\u003Ca href=\u0022https:\/\/www.siam.org\/conferences-events\/siam-conferences\/cse25\/\u0022\u003E\u003Cstrong\u003ECSE25\u003C\/strong\u003E\u003C\/a\u003E). The Society of Industrial and Applied Mathematics (\u003Ca href=\u0022https:\/\/www.siam.org\/\u0022\u003E\u003Cstrong\u003ESIAM\u003C\/strong\u003E\u003C\/a\u003E) organized CSE25, held March 3-7 in Fort Worth, Texas.\u003C\/p\u003E\u003Cp\u003EChen was one of ten School of CSE faculty members who presented research at CSE25, representing one-third of the School\u2019s faculty body. Latent-EnSF was one of 15 papers by School of CSE authors and one of 23 Georgia Tech papers presented at the conference.\u003C\/p\u003E\u003Cp\u003EThe pair will also present Latent-EnSF at the upcoming International Conference on Learning Representations (\u003Ca href=\u0022https:\/\/iclr.cc\/\u0022\u003E\u003Cstrong\u003EICLR 2025\u003C\/strong\u003E\u003C\/a\u003E). Occurring April 24-28 in Singapore, ICLR is one of the world\u2019s most prestigious conferences dedicated to artificial intelligence research.\u003C\/p\u003E\u003Cp\u003E\u201cWe hope to bring attention to experts and domain scientists the exciting area of ML-based data assimilation by presenting our paper,\u201d Chen said. \u201cOur work offers a new solution to address some of the key shortcomings in the area for broader applications.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ESuccessful test results of a new machine learning (ML) technique developed at Georgia Tech could help communities prepare for extreme weather and coastal flooding. The approach could also be applied to other models that predict how natural systems impact society.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EPh.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/ps789.github.io\/\u0022\u003E\u003Cstrong\u003EPhillip Si\u003C\/strong\u003E\u003C\/a\u003E and Assistant Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~pchen402\/\u0022\u003E\u003Cstrong\u003EPeng Chen\u003C\/strong\u003E\u003C\/a\u003E developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.\u003C\/p\u003E\u003Cp\u003EIn experiments predicting medium-range weather forecasting and shallow water wave propagation, \u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2409.00127\u0022\u003E\u003Cstrong\u003ELatent-EnSF\u003C\/strong\u003E\u003C\/a\u003E demonstrated higher accuracy, faster convergence, and greater efficiency than existing methods for sparse data assimilation.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions."}],"uid":"36319","created_gmt":"2025-03-14 17:35:04","changed_gmt":"2025-03-26 01:19:03","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2025-03-14T00:00:00-04:00","iso_date":"2025-03-14T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"676555":{"id":"676555","type":"image","title":"Latent-EnSF-2.jpg","body":null,"created":"1741973802","gmt_created":"2025-03-14 17:36:42","changed":"1741973802","gmt_changed":"2025-03-14 17:36:42","alt":"Phillip Si and Peng Chen","file":{"fid":"260359","name":"Latent-EnSF-2.jpg","image_path":"\/sites\/default\/files\/2025\/03\/14\/Latent-EnSF-2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/03\/14\/Latent-EnSF-2.jpg","mime":"image\/jpeg","size":134191,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/03\/14\/Latent-EnSF-2.jpg?itok=oOKjqW0A"}},"676556":{"id":"676556","type":"image","title":"Latent-EnSF-1.2.jpg","body":null,"created":"1741973828","gmt_created":"2025-03-14 17:37:08","changed":"1741973828","gmt_changed":"2025-03-14 17:37:08","alt":"Phillip Si and Peng Chen","file":{"fid":"260360","name":"Latent-EnSF-1.2.jpg","image_path":"\/sites\/default\/files\/2025\/03\/14\/Latent-EnSF-1.2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/03\/14\/Latent-EnSF-1.2.jpg","mime":"image\/jpeg","size":46200,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/03\/14\/Latent-EnSF-1.2.jpg?itok=tepM_Qab"}}},"media_ids":["676555","676556"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/machine-learning-encoder-improves-weather-forecasting-and-tsunami-prediction","title":"Machine Learning Encoder Improves Weather Forecasting and Tsunami Prediction"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"142","name":"City Planning, Transportation, and Urban Growth"},{"id":"42901","name":"Community"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"145","name":"Engineering"},{"id":"154","name":"Environment"},{"id":"135","name":"Research"},{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"187915","name":"go-researchnews"},{"id":"9153","name":"Research Horizons"},{"id":"10199","name":"Daily Digest"},{"id":"181991","name":"Georgia Tech News Center"},{"id":"9167","name":"machine learning"},{"id":"2556","name":"artificial intelligence"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39531","name":"Energy and Sustainable Infrastructure"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[{"id":"71911","name":"Earth and Environment"},{"id":"71881","name":"Science and Technology"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"680977":{"#nid":"680977","#data":{"type":"news","title":"School Presents Research in Weather Prediction, Carbon Storage, Nuclear Fusion, and More at Computing Conference","body":[{"value":"\u003Cp\u003EMany communities rely on insights from computer-based models and simulations. This week, a nest of Georgia Tech experts are swarming an international conference to present their latest advancements in these tools, which offer solutions to pressing challenges in science and engineering.\u003C\/p\u003E\u003Cp\u003EStudents and faculty from the School of Computational Science and Engineering (CSE) are leading the Georgia Tech contingent at the SIAM Conference on Computational Science and Engineering (\u003Ca href=\u0022https:\/\/www.siam.org\/conferences-events\/siam-conferences\/cse25\/\u0022\u003ECSE25\u003C\/a\u003E). The Society of Industrial and Applied Mathematics (\u003Ca href=\u0022https:\/\/www.siam.org\/\u0022\u003ESIAM\u003C\/a\u003E) organizes CSE25, occurring March 3-7 in Fort Worth, Texas.\u003C\/p\u003E\u003Cp\u003EAt CSE25, the School of CSE researchers are presenting papers that apply computing approaches to varying fields, including: \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EExperiment designs to accelerate the discovery of material properties\u003C\/li\u003E\u003Cli\u003EMachine learning approaches to model and predict weather forecasting and coastal flooding \u003C\/li\u003E\u003Cli\u003EVirtual models that replicate subsurface geological formations used to store captured carbon dioxide\u003C\/li\u003E\u003Cli\u003EOptimizing systems for imaging and optical chemistry\u003C\/li\u003E\u003Cli\u003EPlasma physics during nuclear fusion reactions\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E[Related:\u0026nbsp;\u003Ca href=\u0022https:\/\/public.tableau.com\/app\/profile\/joshpreston\/viz\/SIAMCSE2025\/dash-long\u0022\u003EGT CSE at SIAM CSE25 Interactive Graphic\u003C\/a\u003E]\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cIn CSE, researchers from different disciplines work together to develop new computational methods that we could not have developed alone,\u201d said School of CSE Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/people\/edmond-chow\u0022\u003EEdmond Chow\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cThese methods enable new science and engineering to be performed using computation.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ECSE is a discipline dedicated to advancing computational techniques to study and analyze scientific and engineering systems. CSE complements theory and experimentation as modes of scientific discovery.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EHeld every other year, CSE25 is the primary conference for the SIAM Activity Group on Computational Science and Engineering (\u003Ca href=\u0022https:\/\/www.siam.org\/get-involved\/connect-with-a-community\/activity-groups\/computational-science-and-engineering\/\u0022\u003ESIAG CSE\u003C\/a\u003E). School of CSE faculty serve in key roles in leading the group and preparing for the conference.\u003C\/p\u003E\u003Cp\u003EIn December, SIAG CSE members elected Chow to a two-year term as the group\u2019s vice chair. This election comes after Chow completed a term as the SIAG CSE program director.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ESchool of CSE Associate Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/people\/elizabeth-cherry\u0022\u003EElizabeth Cherry\u003C\/a\u003E has co-chaired the CSE25 organizing committee since the last conference in 2023. Later that year, SIAM members\u0026nbsp;\u003Ca href=\u0022https:\/\/www.siam.org\/publications\/siam-news\/articles\/siam-introduces-its-newly-elected-leadership\/\u0022\u003Ereelected Cherry to a second, three-year term as a council member at large\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAt Georgia Tech, Chow serves as the associate chair of the School of CSE. Cherry, who recently became the\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/new-team-associate-deans-ready-advance-college-initiatives\u0022\u003E associate dean for graduate education of the College of Computing, continues as the director of CSE programs\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cWith our strong emphasis on developing and applying computational tools and techniques to solve real-world problems, researchers in the School of CSE are well positioned to serve as leaders in computational science and engineering both within Georgia Tech and in the broader professional community,\u201d Cherry said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EGeorgia Tech\u2019s School of CSE was\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/founding-school\u0022\u003Efirst organized as a division in 2005\u003C\/a\u003E, becoming one of the world\u2019s first academic departments devoted to the discipline. The division reorganized as a school in 2010 after establishing the flagship CSE Ph.D. and M.S. programs, hiring nine faculty members, and attaining substantial research funding.\u003C\/p\u003E\u003Cp\u003ETen School of CSE faculty members are presenting research at CSE25, representing one-third of the School\u2019s faculty body. Of the 23 accepted papers written by Georgia Tech researchers, 15 originate from School of CSE authors.\u003C\/p\u003E\u003Cp\u003EThe list of School of CSE researchers, paper titles, and abstracts includes:\u003Cbr\u003E\u003Cem\u003EBayesian Optimal Design Accelerates Discovery of Material Properties from Bubble Dynamics\u003C\/em\u003E\u003Cbr\u003EPostdoctoral Fellow\u003Cstrong\u003E Tianyi Chu\u003C\/strong\u003E, Joseph Beckett, Bachir Abeid, and Jonathan Estrada (University of Michigan), Assistant Professor \u003Cstrong\u003ESpencer Bryngelson\u003C\/strong\u003E\u003Cbr\u003E[\u003Ca href=\u0022https:\/\/meetings.siam.org\/sess\/dsp_talk.cfm?p=143459\u0022\u003EAbstract\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ELatent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data\u003C\/em\u003E\u003Cbr\u003EPh.D. student\u003Cstrong\u003E Phillip Si\u003C\/strong\u003E, Assistant Professor \u003Cstrong\u003EPeng Chen\u003C\/strong\u003E\u003Cbr\u003E[\u003Ca href=\u0022https:\/\/meetings.siam.org\/sess\/dsp_talk.cfm?p=141182\u0022\u003EAbstract\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EA Goal-Oriented Quadratic Latent Dynamic Network Surrogate Model for Parameterized Systems\u003C\/em\u003E\u003Cbr\u003EYuhang Li, Stefan Henneking, Omar Ghattas (University of Texas at Austin), Assistant Professor \u003Cstrong\u003EPeng Chen\u003C\/strong\u003E\u003Cbr\u003E[\u003Ca href=\u0022https:\/\/meetings.siam.org\/sess\/dsp_talk.cfm?p=149331\u0022\u003EAbstract\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EPosterior Covariance Structures in Gaussian Processes\u003C\/em\u003E\u003Cbr\u003EYuanzhe Xi (Emory University), Difeng Cai (Southern Methodist University), Professor \u003Cstrong\u003EEdmond Chow\u003C\/strong\u003E\u003Cbr\u003E[\u003Ca href=\u0022https:\/\/meetings.siam.org\/sess\/dsp_talk.cfm?p=142554\u0022\u003EAbstract\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ERobust Digital Twin for Geological Carbon Storage\u003C\/em\u003E\u003Cbr\u003EProfessor\u003Cstrong\u003E Felix Herrmann\u003C\/strong\u003E, Ph.D. student \u003Cstrong\u003EAbhinav Gahlot\u003C\/strong\u003E, alumnus \u003Cstrong\u003ERafael Orozco\u0026nbsp;\u003C\/strong\u003E(Ph.D. CSE-CSE 2024), alumnus \u003Cstrong\u003EZiyi (Francis) Yin\u0026nbsp;\u003C\/strong\u003E(Ph.D. CSE-CSE 2024), and Ph.D. candidate \u003Cstrong\u003EGrant Bruer\u003C\/strong\u003E\u003Cbr\u003E[\u003Ca href=\u0022https:\/\/meetings.siam.org\/sess\/dsp_talk.cfm?p=142843\u0022\u003EAbstract\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EIndustry-Scale Uncertainty-Aware Full Waveform Inference with Generative Models\u003C\/em\u003E\u003Cbr\u003E\u003Cstrong\u003ERafael Orozco\u003C\/strong\u003E, Ph.D. student \u003Cstrong\u003ETuna Erdinc\u003C\/strong\u003E, alumnus \u003Cstrong\u003EMathias Louboutin\u0026nbsp;\u003C\/strong\u003E(Ph.D. CS-CSE 2020), and Professor \u003Cstrong\u003EFelix Herrmann\u003C\/strong\u003E\u003Cbr\u003E[\u003Ca href=\u0022https:\/\/meetings.siam.org\/sess\/dsp_talk.cfm?p=143101\u0022\u003EAbstract\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EOptimizing Coupled Systems: Insights from Co-Design Imaging and Optical Chemistry\u003C\/em\u003E\u003Cbr\u003EAssistant Professor \u003Cstrong\u003ERapha\u00ebl Pestourie\u003C\/strong\u003E, Wenchao Ma and Steven Johnson (MIT), Lu Lu (Yale University), Zin Lin (Virginia Tech)\u003Cbr\u003E[\u003Ca href=\u0022https:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=82425\u0022\u003EAbstract\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EMultifidelity Linear Regression for Scientific Machine Learning from Scarce Data\u003C\/em\u003E\u003Cbr\u003EAssistant Professor\u003Cstrong\u003E Elizabeth Qian\u003C\/strong\u003E, Ph.D. student \u003Cstrong\u003EDayoung Kang\u003C\/strong\u003E, Vignesh Sella, Anirban Chaudhuri and Anirban Chaudhuri (University of Texas at Austin)\u003Cbr\u003E[\u003Ca href=\u0022https:\/\/meetings.siam.org\/sess\/dsp_talk.cfm?p=141115\u0022\u003EAbstract\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ELyapInf: Data-Driven Estimation of Stability Guarantees for Nonlinear Dynamical Systems\u003C\/em\u003E\u003Cbr\u003EPh.D. candidate \u003Cstrong\u003ETomoki Koike\u003C\/strong\u003E and Assistant Professor \u003Cstrong\u003EElizabeth Qian\u003C\/strong\u003E\u003Cbr\u003E[\u003Ca href=\u0022https:\/\/meetings.siam.org\/sess\/dsp_talk.cfm?p=142603\u0022\u003EAbstract\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EThe Information Geometric Regularization of the Euler Equation\u003C\/em\u003E\u003Cbr\u003EAlumnus \u003Cstrong\u003ERuijia Cao\u003C\/strong\u003E (B.S. CS 2024), Assistant Professor \u003Cstrong\u003EFlorian Sch\u00e4fer\u003C\/strong\u003E\u003Cbr\u003E[\u003Ca href=\u0022https:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=80995\u0022\u003EAbstract\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EMaximum Likelihood Discretization of the Transport Equation\u003C\/em\u003E\u003Cbr\u003EPh.D. student \u003Cstrong\u003EBrook Eyob\u003C\/strong\u003E, Assistant Professor \u003Cstrong\u003EFlorian Sch\u00e4fer\u003C\/strong\u003E\u003Cbr\u003E[\u003Ca href=\u0022https:\/\/meetings.siam.org\/sess\/dsp_talk.cfm?p=149340\u0022\u003EAbstract\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EIntelligent Attractors for Singularly Perturbed Dynamical Systems\u003C\/em\u003E\u003Cbr\u003EDaniel A. Serino (Los Alamos National Laboratory), Allen Alvarez Loya (University of Colorado Boulder), Joshua W. Burby, Ioannis G. Kevrekidis (Johns Hopkins University), Assistant Professor \u003Cstrong\u003EQi Tang\u003C\/strong\u003E (Session Co-Organizer)\u003Cbr\u003E[\u003Ca href=\u0022https:\/\/meetings.siam.org\/sess\/dsp_talk.cfm?p=140821\u0022\u003EAbstract\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EAccurate Discretizations and Efficient AMG Solvers for Extremely Anisotropic Diffusion Via Hyperbolic Operators\u003C\/em\u003E\u003Cbr\u003EGolo Wimmer, Ben Southworth, Xianzhu Tang (LANL), Assistant Professor \u003Cstrong\u003EQi Tang\u003C\/strong\u003E\u0026nbsp;\u003Cbr\u003E[\u003Ca href=\u0022https:\/\/meetings.siam.org\/sess\/dsp_talk.cfm?p=141012\u0022\u003EAbstract\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ERandomized Linear Algebra for Problems in Graph Analytics\u003C\/em\u003E\u003Cbr\u003EProfessor \u003Cstrong\u003ERich Vuduc\u003C\/strong\u003E\u003Cbr\u003E[\u003Ca href=\u0022https:\/\/meetings.siam.org\/sess\/dsp_talk.cfm?p=140989\u0022\u003EAbstract\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EImproving Spgemm Performance Through Reordering and Cluster-Wise Computation\u003C\/em\u003E\u003Cbr\u003EAssistant Professor\u003Cstrong\u003E Helen Xu\u003C\/strong\u003E\u003Cbr\u003E[\u003Ca href=\u0022https:\/\/meetings.siam.org\/sess\/dsp_talk.cfm?p=141133\u0022\u003EAbstract\u003C\/a\u003E]\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EMany communities rely on insights from computer-based models and simulations. This week, a nest of Georgia Tech experts are swarming an international conference to present their latest advancements in these tools, which offer solutions to pressing challenges in science and engineering.\u003C\/p\u003E\u003Cp\u003EStudents and faculty from the School of Computational Science and Engineering (CSE) are leading the Georgia Tech contingent at the SIAM Conference on Computational Science and Engineering (\u003Ca href=\u0022https:\/\/www.siam.org\/conferences-events\/siam-conferences\/cse25\/\u0022\u003ECSE25\u003C\/a\u003E). The Society of Industrial and Applied Mathematics (\u003Ca href=\u0022https:\/\/www.siam.org\/\u0022\u003ESIAM\u003C\/a\u003E) organizes CSE25, occurring March 3-7 in Fort Worth, Texas.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Students and faculty from the School of Computational Science and Engineering (CSE) are leading the Georgia Tech contingent at the SIAM Conference on Computational Science and Engineering (CSE25). The Society of Industrial and Applied Mathematics (SIAM) o"}],"uid":"36319","created_gmt":"2025-03-06 19:50:07","changed_gmt":"2025-03-06 19:54:49","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2025-03-06T00:00:00-05:00","iso_date":"2025-03-06T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"676493":{"id":"676493","type":"image","title":"CSE25-Head-Image-v3.1.jpg","body":null,"created":"1741290615","gmt_created":"2025-03-06 19:50:15","changed":"1741290615","gmt_changed":"2025-03-06 19:50:15","alt":"GT CSE at SIAM CSE25","file":{"fid":"260290","name":"CSE25-Head-Image-v3.1.jpg","image_path":"\/sites\/default\/files\/2025\/03\/06\/CSE25-Head-Image-v3.1.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/03\/06\/CSE25-Head-Image-v3.1.jpg","mime":"image\/jpeg","size":159289,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/03\/06\/CSE25-Head-Image-v3.1.jpg?itok=Mr30PYKB"}},"676494":{"id":"676494","type":"image","title":"CSE25-Tableau.png","body":null,"created":"1741290772","gmt_created":"2025-03-06 19:52:52","changed":"1741290772","gmt_changed":"2025-03-06 19:52:52","alt":"SIAM CSE25 Tableau","file":{"fid":"260291","name":"CSE25-Tableau.png","image_path":"\/sites\/default\/files\/2025\/03\/06\/CSE25-Tableau.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/03\/06\/CSE25-Tableau.png","mime":"image\/png","size":539581,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/03\/06\/CSE25-Tableau.png?itok=lRlCOcEm"}}},"media_ids":["676493","676494"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/school-present-research-weather-prediction-carbon-storage-nuclear-fusion-and-more-computing","title":"School to Present Research in Weather Prediction, Carbon Storage, Nuclear Fusion, and More at Computing Conference"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"141","name":"Chemistry and Chemical Engineering"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"145","name":"Engineering"},{"id":"150","name":"Physics and Physical Sciences"},{"id":"135","name":"Research"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"187915","name":"go-researchnews"},{"id":"10199","name":"Daily Digest"},{"id":"9153","name":"Research Horizons"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39471","name":"Materials"},{"id":"193652","name":"Matter and Systems"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"680495":{"#nid":"680495","#data":{"type":"news","title":"Faculty Wins Award for Trailblazing Work in Computing and Biology","body":[{"value":"\u003Cp\u003EGeorgia Tech Regents\u2019 Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/people\/srinivas-aluru\u0022\u003ESrinivas Aluru\u003C\/a\u003E is the recipient of the Charles Babbage Award for 2025. Aluru was awarded for pioneering research contributions that intersect parallel computing and computational biology.\u003C\/p\u003E\u003Cp\u003E\u201cThis is a very well-deserved recognition for Srinivas as he joins the illustrious list of past recipients of the Charles Babbage Award,\u201d said \u003Cstrong\u003EVivek Sarkar\u003C\/strong\u003E, the John P. Imlay Jr. Dean of the College of Computing.\u003C\/p\u003E\u003Cp\u003E\u201cSrinivas\u2019 accomplishments reflect positively on himself and all of us at Georgia Tech. This is indeed an occasion to celebrate.\u201d\u003C\/p\u003E\u003Cp\u003EThe IEEE Computer Society presents the Babbage Award annually. The award recognizes significant contributions to parallel computation.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E[Related:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.computer.org\/publications\/tech-news\/insider-membership-news\/2025-charles-babbage-award-winner\u0022\u003EIEEE-CS interview with Aluru on his award-winning career\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.computer.org\/profiles\/srinivas-aluru\u0022\u003EThe award\u003C\/a\u003E is named after Charles Babbage, widely considered to be a \u201cfather of the computer.\u201d Babbage and Ada Lovelace are credited with inventing the first mechanical computers in the 19th century, eventually leading to more complex designs.\u003C\/p\u003E\u003Cp\u003EAluru is a pioneer in computational genomics, an area of biology that studies the order, structure, function, and evolution of genetic material. Throughout his career, his lab has developed software and algorithms to analyze the genomes of several species of plants, animals, and microorganisms.\u003C\/p\u003E\u003Cp\u003EGenome base pair sizes can number into the billions, which can be interpreted as massive datasets. Ever since the early years of his career, Aluru championed parallel computing as a practical approach to studying these challenging datasets.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EParallelism divides a large problem into smaller ones, allowing different processors on a computer to solve the simpler tasks simultaneously. This approach breaks a genome into smaller segments, allowing computers to efficiently transcribe genetic code and identify insightful patterns.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cSrinivas Aluru\u2019s groundbreaking contributions have profoundly shaped the intersection of parallel processing and bioinformatics. His work is nothing short of extraordinary,\u201d said \u003Cstrong\u003EYves Robert\u003C\/strong\u003E, awards chair of the IEEE Computer Society Babbage Committee.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cIt is a privilege to recognize a researcher whose work will undoubtedly have a lasting impact for generations to come.\u201d\u003C\/p\u003E\u003Cp\u003EIEEE selected Aluru as a fellow in 2010, and he recently served as the editor-in-chief of the journal \u003Cem\u003EIEEE\/ACM Transactions on Computational Biology and Bioinformatics\u003C\/em\u003E.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAluru has fellowships with the American Association for the Advancement of Science, the Association for Computing Machinery (ACM), and the Society of Industrial and Applied Mathematics. He is a past recipient of the NSF CAREER Award, IBM Faculty Award, and the Swarnajayanti Fellowship from the government of India.\u003C\/p\u003E\u003Cp\u003EAlong with receiving the Babbage Award, Aluru\u2019s leadership acumen earned him the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/new-team-associate-deans-ready-advance-college-initiatives\u0022\u003Erecent appointment as senior associate dean\u003C\/a\u003E of Georgia Tech\u2019s College of Computing.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAluru helped form the Institute for Data Engineering and Science (IDEaS) at Georgia Tech in 2016, serving as co-executive director. Later, he became the institute\u2019s sole executive director from 2019 to 2025. Regents\u2019 Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/research.gatech.edu\/david-sherril-serve-interim-director-institute-data-engineering-and-science\u0022\u003EC. David Sherrill became interim executive director of IDEaS\u003C\/a\u003E when Aluru accepted his associate dean appointment. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAluru started at Georgia Tech in 2013 to join the new School of Computational Science and Engineering, established in 2010. He served as the School\u2019s interim chair from 2019 to 2020. In 2023, the University System of Georgia appointed Aluru as Regents\u2019 Professor.\u003C\/p\u003E\u003Cp\u003EAluru completed his Ph.D. at Iowa State University in 1994. He then worked at Ames National Laboratory, Syracuse University, and New Mexico State University before returning to his alma mater from 1999 to 2013.\u003C\/p\u003E\u003Cp\u003E\u201cThis award is a recognition of over two and a half decades of research efforts in my group, reflecting not only my work but that of numerous graduate students and collaborators,\u201d said Aluru.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cI hope the award draws attention to the importance of parallel methods in computational biology and points key advancements to new entrants in the field.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech Regents\u2019 Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/people\/srinivas-aluru\u0022\u003ESrinivas Aluru\u003C\/a\u003E is the recipient of the Charles Babbage Award for 2025. Aluru was awarded for pioneering research contributions that intersect parallel computing and computational biology.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech Regents\u2019 Professor Srinivas Aluru is the recipient of the Charles Babbage Award for 2025. "}],"uid":"36319","created_gmt":"2025-02-14 17:22:17","changed_gmt":"2025-02-14 17:28:03","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2025-02-14T00:00:00-05:00","iso_date":"2025-02-14T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"676289":{"id":"676289","type":"image","title":"Aluru Babbage Award Head Photo.jpg","body":null,"created":"1739553755","gmt_created":"2025-02-14 17:22:35","changed":"1739553755","gmt_changed":"2025-02-14 17:22:35","alt":"Srinivas Aluru IEEE-CS Charles Babbage Award","file":{"fid":"260044","name":"Aluru Babbage Award Head Photo.jpg","image_path":"\/sites\/default\/files\/2025\/02\/14\/Aluru%20Babbage%20Award%20Head%20Photo.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/02\/14\/Aluru%20Babbage%20Award%20Head%20Photo.jpg","mime":"image\/jpeg","size":93891,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/02\/14\/Aluru%20Babbage%20Award%20Head%20Photo.jpg?itok=ibf8NKff"}}},"media_ids":["676289"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/faculty-wins-award-trailblazing-work-computing-and-biology","title":"Faculty Wins Award for Trailblazing Work in Computing and Biology"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"146","name":"Life Sciences and Biology"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"187915","name":"go-researchnews"},{"id":"10199","name":"Daily Digest"},{"id":"170447","name":"Institute for Data Engineering and Science"},{"id":"9153","name":"Research Horizons"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"674733":{"#nid":"674733","#data":{"type":"news","title":"Chatbots Are Poor Multilingual Healthcare Consultants, Study Finds","body":[{"value":"\u003Cp\u003EGeorgia Tech researchers say non-English speakers shouldn\u2019t rely on chatbots like ChatGPT to provide valuable healthcare advice.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EA team of researchers from the College of Computing at Georgia Tech has developed a framework for assessing the capabilities of large language models (LLMs).\u003C\/p\u003E\u003Cp\u003EPh.D. students\u0026nbsp;\u003Ca href=\u0022https:\/\/mohit3011.github.io\/\u0022\u003EMohit Chandra\u003C\/a\u003E\u0026nbsp;and\u0026nbsp;\u003Ca href=\u0022https:\/\/ahren09.github.io\/\u0022\u003EYiqiao (Ahren) Jin\u003C\/a\u003E\u0026nbsp;are the co-lead authors of the paper\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2310.13132\u0022\u003E\u003Cem\u003EBetter to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries\u003C\/em\u003E\u003C\/a\u003E\u003Cem\u003E.\u003C\/em\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ETheir paper\u2019s findings reveal a gap between LLMs and their ability to answer health-related questions. Chandra and Jin point out\u0026nbsp;the limitations of LLMs for users and developers but also highlight their potential.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ETheir XLingEval framework cautions non-English speakers from using chatbots as alternatives to doctors for advice. However, models can improve by deepening the data pool with multilingual source material such as their proposed XLingHealth benchmark.\u0026nbsp;\u0026nbsp;\u0026nbsp; \u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cFor users, our research supports what ChatGPT\u2019s website already states: chatbots make a lot of mistakes, so we should not rely on them for critical decision-making or for information that requires high accuracy,\u201d Jin said.\u0026nbsp; \u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cSince we observed this language disparity in their performance, LLM developers should focus on improving accuracy, correctness, consistency, and reliability in other languages,\u201d Jin said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EUsing XLingEval, the researchers found chatbots are less accurate in Spanish, Chinese, and Hindi compared to English. By focusing on correctness, consistency, and verifiability, they discovered:\u0026nbsp;\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003ECorrectness decreased by 18% when the same questions were asked in Spanish, Chinese, and Hindi.\u0026nbsp;\u003C\/li\u003E\u003Cli\u003EAnswers in non-English were 29% less consistent than their English counterparts.\u0026nbsp;\u003C\/li\u003E\u003Cli\u003ENon-English responses were 13% overall less verifiable.\u0026nbsp;\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EXLingHealth contains question-answer pairs that chatbots can reference, which the group hopes will spark improvement within LLMs. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe HealthQA dataset uses specialized healthcare articles from the popular healthcare website\u0026nbsp;\u003Cem\u003EPatient\u003C\/em\u003E. It includes 1,134 health-related question-answer pairs as excerpts from original articles.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ELiveQA is a second dataset containing 246 question-answer pairs constructed from frequently asked questions (FAQs) platforms associated with the U.S. National Institutes of Health (NIH).\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EFor drug-related questions, the group built a MedicationQA component. This dataset contains 690 questions extracted from anonymous consumer queries submitted to MedlinePlus. The answers are sourced from medical references, such as MedlinePlus and DailyMed.\u0026nbsp; \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIn their tests, the researchers asked over 2,000 medical-related questions to ChatGPT-3.5 and MedAlpaca. MedAlpaca is a healthcare question-answer chatbot trained in medical literature. Yet, more than 67% of its responses to non-English questions were irrelevant or contradictory.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cWe see far worse performance in the case of MedAlpaca than ChatGPT,\u201d Chandra said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cThe majority of the data for MedAlpaca is in English, so it struggled to answer queries in non-English languages. GPT also struggled, but it performed much better than MedAlpaca because it had some sort of training data in other languages.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EPh.D. student\u0026nbsp;\u003Cstrong\u003EGaurav Verma\u003C\/strong\u003E\u0026nbsp;and postdoctoral researcher\u0026nbsp;\u003Ca href=\u0022https:\/\/snowood1.github.io\/\u0022\u003EYibo Hu\u003C\/a\u003E\u0026nbsp;co-authored the paper.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EJin and Verma study under\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~srijan\/\u0022\u003ESrijan Kumar\u003C\/a\u003E, an assistant professor in the School of Computational Science and Engineering, and Hu is a postdoc in Kumar\u2019s lab. Chandra is advised by\u0026nbsp;\u003Cstrong\u003EMunmun De Choudhury\u003C\/strong\u003E, an associate professor in the\u0026nbsp;School of Interactive Computing.\u0026nbsp;\u003Cbr\u003E\u0026nbsp;\u003Cbr\u003EThe team will present their paper at\u0026nbsp;\u003Ca href=\u0022https:\/\/www2024.thewebconf.org\/\u0022\u003EThe Web Conference\u003C\/a\u003E, occurring May 13-17 in Singapore. The annual conference focuses on the future direction of the internet. The group\u2019s presentation is a complimentary match, considering the conference\u0027s location.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EEnglish and Chinese are the most common languages in Singapore. The group tested Spanish, Chinese, and Hindi because they are the world\u2019s most spoken languages after English. Personal curiosity and background played a part in inspiring the study.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cChatGPT was very popular when it launched in 2022, especially for us computer science students who are always exploring new technology,\u201d said Jin. \u201cNon-native English speakers, like Mohit and I, noticed early on that chatbots underperformed in our native languages.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ESchool of Interactive Computing communications officer Nathan Deen and School of Computational Science and Engineering communications officer Bryant Wine contributed to this report.\u003C\/em\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EA team of researchers from the College of Computing at Georgia Tech has developed a framework for assessing the capabilities of large language models (LLMs). Using their XLingEval framework, the researchers found chatbots are less accurate in Spanish, Chinese, and Hindi compared to English, notably lacking correctness, consistency, and verifiability.\u0026nbsp;However, models can improve by deepening the data pool with multilingual source material such as their proposed XLingHealth benchmark.\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech researchers found that chatbots are less accurate in Spanish, Chinese, and Hindi compared to English when asked health-related questions. "}],"uid":"36319","created_gmt":"2024-05-15 18:33:19","changed_gmt":"2024-12-09 17:36:57","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-05-15T00:00:00-04:00","iso_date":"2024-05-15T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"674017":{"id":"674017","type":"image","title":"Better to Ask in English.jpg","body":null,"created":"1715798007","gmt_created":"2024-05-15 18:33:27","changed":"1715798007","gmt_changed":"2024-05-15 18:33:27","alt":"The Web Conference 2024","file":{"fid":"257480","name":"Better to Ask in English.jpg","image_path":"\/sites\/default\/files\/2024\/05\/15\/Better%20to%20Ask%20in%20English.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/05\/15\/Better%20to%20Ask%20in%20English.jpg","mime":"image\/jpeg","size":107118,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/05\/15\/Better%20to%20Ask%20in%20English.jpg?itok=2orTn8D2"}},"674018":{"id":"674018","type":"image","title":"The Web Conference.jpg","body":null,"created":"1715798047","gmt_created":"2024-05-15 18:34:07","changed":"1715798047","gmt_changed":"2024-05-15 18:34:07","alt":"Mohit Chandra and Yiqiao (Ahren) Jin ","file":{"fid":"257481","name":"The Web Conference.jpg","image_path":"\/sites\/default\/files\/2024\/05\/15\/The%20Web%20Conference.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/05\/15\/The%20Web%20Conference.jpg","mime":"image\/jpeg","size":49308,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/05\/15\/The%20Web%20Conference.jpg?itok=fWWPrBQP"}},"674027":{"id":"674027","type":"image","title":"Poster.jpeg","body":null,"created":"1715868226","gmt_created":"2024-05-16 14:03:46","changed":"1715868226","gmt_changed":"2024-05-16 14:03:46","alt":"The Web Conference 2024","file":{"fid":"257491","name":"Poster.jpeg","image_path":"\/sites\/default\/files\/2024\/05\/16\/Poster.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/05\/16\/Poster.jpeg","mime":"image\/jpeg","size":173843,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/05\/16\/Poster.jpeg?itok=o9Jnpk6r"}}},"media_ids":["674017","674018","674027"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/chatbots-are-poor-multilingual-healthcare-consultants-study-finds","title":"Chatbots Are Poor Multilingual Healthcare Consultants, Study Finds"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"187915","name":"go-researchnews"},{"id":"192863","name":"go-ai"},{"id":"10199","name":"Daily Digest"},{"id":"7846","name":"Georgia Tech Office of the Provost"},{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"2556","name":"artificial intelligence"},{"id":"9167","name":"machine learning"},{"id":"193556","name":"large language models"},{"id":"9153","name":"Research Horizons"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[{"id":"71881","name":"Science and Technology"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003ENathan Deen, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:ndeen6@cc.gatech.edu\u0022\u003Endeen6@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"673530":{"#nid":"673530","#data":{"type":"news","title":"Faculty is First from Georgia Tech to Receive New Fellowship for Artificial Intelligence Research","body":[{"value":"\u003Cp\u003ESchmidt Sciences has selected \u003Cstrong\u003EKai Wang\u003C\/strong\u003E as one of 19 researchers to receive this year\u2019s AI2050 Early Career Fellowship. In doing so, Wang becomes the first AI2050 fellow to represent Georgia Tech.\u003C\/p\u003E\u003Cp\u003E\u201cI am excited about this fellowship because there are so many people at Georgia Tech using AI to create social impact,\u201d said Wang, an assistant professor in the School of Computational Science and Engineering (CSE).\u003C\/p\u003E\u003Cp\u003E\u201cI feel so fortunate to be part of this community and to help Georgia Tech bring more impact on society.\u201d\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.schmidtsciences.org\/ai2050-early-career-fellows-2024\/\u0022\u003EAI2050\u003C\/a\u003E has allocated up to $5.5 million to support the cohort. Fellows receive up to $300,000 over two years and will join the Schmidt Sciences network of experts to advance their research in artificial intelligence (AI).\u003C\/p\u003E\u003Cp\u003EWang\u2019s AI2050 project centers on leveraging decision-focused AI to address challenges facing health and environmental sustainability. His goal is to strengthen and deploy decision-focused AI in collaboration with stakeholders to solve broad societal problems.\u003C\/p\u003E\u003Cp\u003EWang\u2019s method to decision-focused AI integrates machine learning with optimization to train models based on decision quality. These models borrow knowledge from decision-making processes in high-stakes domains to improve overall performance.\u003C\/p\u003E\u003Cp\u003EPart of Wang\u2019s approach is to work closely with non-profit and non-governmental organizations. This collaboration helps Wang better understand problems at the point-of-need and gain knowledge from domain experts to custom-build AI models.\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cIt is very important to me to see my research impacting human lives and society,\u201d Wang said. That reinforces my interest and motivation in using AI for social impact.\u201d\u003C\/p\u003E\u003Cp\u003E[Related: \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/new-faculty-bolster-schools-machine-learning-high-performance-computing-expertise\u0022\u003EWang, New Faculty Bolster School\u2019s Machine Learning Expertise\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003EThis year\u2019s cohort is only the second in the fellowship\u2019s history. Wang joins a class that spans four countries, six disciplines, and seventeen institutions.\u003C\/p\u003E\u003Cp\u003EAI2050 commits $125 million over five years to identify and support talented individuals seeking solutions to ensure society benefits from AI. Last year\u2019s AI2050 inaugural class of 15 early career fellows received $4 million.\u003C\/p\u003E\u003Cp\u003EThe namesake of AI2050 comes from the central motivating question that \u003Ca href=\u0022https:\/\/ai2050.schmidtsciences.org\/fellows\/\u0022\u003Efellows answer through their projects\u003C\/a\u003E:\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EIt\u2019s 2050. AI has turned out to be hugely beneficial to society. What happened? What are the most important problems we solved and the opportunities and possibilities we realized to ensure this outcome?\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003EAI2050 encourages young researchers to pursue bold and ambitious work on difficult challenges and promising opportunities in AI. These projects involve research that is multidisciplinary, risky, and hard to fund through traditional means.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.schmidtsciences.org\/\u0022\u003ESchmidt Sciences\u003C\/a\u003E, LLC is a 501(c)3 non-profit organization supported by philanthropists Eric and Wendy Schmidt. Schmidt Sciences aims to accelerate and deepen understanding of the natural world and develop solutions to real-world challenges for public benefit.\u003C\/p\u003E\u003Cp\u003ESchmidt Sciences identify under-supported or unconventional areas of exploration and discovery with potential for high impact. Focus areas include AI and advanced computing, astrophysics and space, biosciences, climate, and cross-science.\u003C\/p\u003E\u003Cp\u003E\u201cI am most grateful for the advice from my mentors, colleagues, and collaborators, and of course AI2050 for choosing me for this prestigious fellowship,\u201d Wang said. \u201cThe School of CSE has given me so much support, including career advice from junior and senior level faculty.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ESchmidt Sciences has selected \u003Cstrong\u003EKai Wang\u003C\/strong\u003E as one of 19 researchers to receive this year\u2019s AI2050 Early Career Fellowship. In doing so, Wang becomes the first AI2050 fellow to represent Georgia Tech.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Schmidt Sciences has selected Kai Wang as one of 19 researchers to receive this year\u2019s AI2050 Early Career Fellowship. In doing so, Wang becomes the first AI2050 fellow to represent Georgia Tech. "}],"uid":"36319","created_gmt":"2024-03-14 16:02:18","changed_gmt":"2024-12-09 17:36:57","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-03-14T00:00:00-04:00","iso_date":"2024-03-14T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"673398":{"id":"673398","type":"image","title":"Kai Wang AI2050 Fellowship.jpg","body":null,"created":"1710431876","gmt_created":"2024-03-14 15:57:56","changed":"1710431855","gmt_changed":"2024-03-14 15:57:35","alt":"Kai Wang AI2050 Fellowship","file":{"fid":"256791","name":"Kai Wang AI2050 Fellowship.jpg","image_path":"\/sites\/default\/files\/2024\/03\/14\/Kai%20Wang%20AI2050%20Fellowship.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/03\/14\/Kai%20Wang%20AI2050%20Fellowship.jpg","mime":"image\/jpeg","size":93239,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/03\/14\/Kai%20Wang%20AI2050%20Fellowship.jpg?itok=oxd8n-t2"}},"673399":{"id":"673399","type":"image","title":"armman-visit copy.jpg","body":null,"created":"1710431911","gmt_created":"2024-03-14 15:58:31","changed":"1710431893","gmt_changed":"2024-03-14 15:58:13","alt":"Kai Wang ARMMAN visit","file":{"fid":"256792","name":"armman-visit copy.jpg","image_path":"\/sites\/default\/files\/2024\/03\/14\/armman-visit%20copy.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/03\/14\/armman-visit%20copy.jpg","mime":"image\/jpeg","size":1597524,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/03\/14\/armman-visit%20copy.jpg?itok=k2osVUxt"}}},"media_ids":["673398","673399"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"154","name":"Environment"},{"id":"135","name":"Research"}],"keywords":[{"id":"187915","name":"go-researchnews"},{"id":"192863","name":"go-ai"},{"id":"10199","name":"Daily Digest"},{"id":"7846","name":"Georgia Tech Office of the Provost"},{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"2556","name":"artificial intelligence"},{"id":"9167","name":"machine learning"},{"id":"9153","name":"Research Horizons"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[{"id":"71871","name":"Campus and Community"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003Ebryant.wine@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"673598":{"#nid":"673598","#data":{"type":"news","title":"Workshop Employs Lessons from Epidemics to Enhance Computer Science Classes","body":[{"value":"\u003Cp\u003EComputer science educators will soon gain valuable insights from computational epidemiology courses, like one offered at Georgia Tech.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EB. Aditya Prakash\u003C\/strong\u003E\u0026nbsp;is part of a research group that will host a workshop on how topics from computational epidemiology can enhance computer science classes.\u003C\/p\u003E\u003Cp\u003EThese lessons would produce computer science graduates with improved skills in data science, modeling, simulation, artificial intelligence (AI), and machine learning (ML).\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EBecause epidemics transcend the sphere of public health, these topics would groom computer scientists versed in issues from social, financial, and political domains.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe group\u2019s virtual workshop takes place on March 20 at the technical symposium for the\u0026nbsp;\u003Ca href=\u0022https:\/\/sigcse2024.sigcse.org\/\u0022\u003ESpecial Interest Group on Computer Science Education (SIGCSE)\u003C\/a\u003E. SIGCSE is one of 38 special interest groups of the Association for Computing Machinery (ACM). ACM is the world\u2019s largest scientific and educational computing society.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cWe decided to do a tutorial at SIGCSE because we believe that computational epidemiology concepts would be very useful in general computer science courses,\u201d said Prakash, an associate professor in\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003Ethe School of Computational Science and Engineering (CSE).\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cWe want to give an introduction to concepts, like what computational epidemiology is, and how topics, such as algorithms and simulations, can be integrated into computer science courses.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EPrakash kicks off the workshop with an overview of computational epidemiology. He will use examples from his\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~badityap\/classes\/cse8803-epi-Fall23\/\u0022\u003ECSE 8803: Data Science for Epidemiology\u003C\/a\u003E\u0026nbsp;course to introduce basic concepts.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThis overview includes a survey of models used to describe behavior of diseases. Models serve as foundations that run simulations, ultimately testing hypotheses and making predictions regarding disease spread and impact.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EPrakash will explain the different kinds of models used in epidemiology, such as traditional mechanistic models and more recent ML and AI based models.\u003C\/p\u003E\u003Cp\u003EPrakash\u2019s discussion includes modeling used in recent epidemics like Covid-19, Zika, H1N1 bird flu, and Ebola. He will also cover examples from the 19th and 20th centuries to illustrate how epidemiology has advanced using data science and computation.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cI strongly believe that data and computation have a very important role to play in the future of epidemiology and public health is computational,\u201d Prakash said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cMy course and these workshops give that viewpoint, and provide a broad framework of data science and computational thinking that can be useful.\u201d\u003C\/p\u003E\u003Cp\u003EWhile humankind has studied disease transmission for millennia, computational epidemiology is a new approach to understanding how diseases can spread throughout communities. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe Covid-19 pandemic helped bring computational epidemiology to the forefront of public awareness. This exposure has led to greater demand for further application from computer science education.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EPrakash joins\u0026nbsp;\u003Cstrong\u003EBaltazar Espinoza\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003ENatarajan Meghanathan\u003C\/strong\u003E\u0026nbsp;in the workshop presentation. Espinoza is a research assistant professor at the University of Virginia. Meghanathan is a professor at Jackson State University.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe group is connected through\u0026nbsp;\u003Ca href=\u0022https:\/\/computational-epidemiology.org\/\u0022\u003EGlobal Pervasive Computational Epidemiology (GPCE)\u003C\/a\u003E. GPCE is a partnership of 13 institutions aimed at advancing computational foundations, engineering principles, and technologies of computational epidemiology.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe National Science Foundation (NSF) supports GPCE through the\u0026nbsp;\u003Ca href=\u0022https:\/\/new.nsf.gov\/funding\/opportunities\/expeditions-computing-expeditions\u0022\u003EExpeditions in Computing\u003C\/a\u003E\u0026nbsp;program. Prakash himself is principal investigator of other NSF-funded grants in which material from these projects appear in his workshop presentation.\u003C\/p\u003E\u003Cp\u003E[Related:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/researchers-lead-paradigm-shift-pandemic-prevention-nsf-grant\u0022\u003EResearchers to Lead Paradigm Shift in Pandemic Prevention with NSF Grant\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003EOutreach and broadening participation in computing are tenets of Prakash and GPCE because of how widely epidemics can reach. The SIGCSE workshop is one way that the group employs educational programs to train the next generation of scientists around the globe.\u003C\/p\u003E\u003Cp\u003E\u201cAlgorithms, machine learning, and other topics are fundamental graduate and undergraduate computer science courses nowadays,\u201d Prakash said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cUsing examples like projects, homework questions, and data sets, we want to show that the topics and ideas from computational epidemiology help students see a future where they apply their computer science education to pressing, real world challenges.\u201d\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EComputer science educators will soon gain valuable insights from computational epidemiology courses, like one offered at Georgia Tech.\u0026nbsp;\u003Cstrong\u003EB. Aditya Prakash\u003C\/strong\u003E\u0026nbsp;is part of a research group that will host a workshop on how topics from computational epidemiology can enhance computer science classes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese lessons would produce computer science graduates with improved skills in data science, modeling, simulation, artificial intelligence (AI), and machine learning (ML). Because epidemics transcend the sphere of public health, these topics would groom computer scientists versed in issues from social, financial, and political domains.\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Associate Professor B. Aditya Prakash is part of a research group that will host a workshop on how topics from computational epidemiology can enhance computer science classes."}],"uid":"36319","created_gmt":"2024-03-19 13:15:16","changed_gmt":"2024-12-09 17:36:57","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-03-18T00:00:00-04:00","iso_date":"2024-03-18T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"673436":{"id":"673436","type":"image","title":"Prakash SIGCSE graphic 2.2.png","body":null,"created":"1710854009","gmt_created":"2024-03-19 13:13:29","changed":"1710853979","gmt_changed":"2024-03-19 13:12:59","alt":"SIGCSE24 B. Aditya Prakash","file":{"fid":"256834","name":"Prakash SIGCSE graphic 2.2.png","image_path":"\/sites\/default\/files\/2024\/03\/19\/Prakash%20SIGCSE%20graphic%202.2.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/03\/19\/Prakash%20SIGCSE%20graphic%202.2.png","mime":"image\/png","size":534503,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/03\/19\/Prakash%20SIGCSE%20graphic%202.2.png?itok=HUND25YM"}}},"media_ids":["673436"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"42911","name":"Education"}],"keywords":[{"id":"187915","name":"go-researchnews"},{"id":"192863","name":"go-ai"},{"id":"10199","name":"Daily Digest"},{"id":"7846","name":"Georgia Tech Office of the Provost"},{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"2556","name":"artificial intelligence"},{"id":"9167","name":"machine learning"},{"id":"9153","name":"Research Horizons"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003Ebryant.wine@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"670184":{"#nid":"670184","#data":{"type":"news","title":"Meet CSE Profile: Ph.D. Student Rafael Orozco","body":[{"value":"\u003Cp\u003EThe start of the fall semester can be busy for most Georgia Tech students, but this is especially true for\u0026nbsp;\u003Cstrong\u003ERafael Orozco\u003C\/strong\u003E. The Ph.D. student in Computational Science and Engineering (CSE) is part of a research group that presented at a major conference in August and is now preparing to host a research meeting in November.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe used the lull between events, research, and classes to meet with Orozco and learn more about his background and interests in this Meet CSE profile.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EStudent:\u0026nbsp;\u003C\/strong\u003ERafael Orozco\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EResearch Interests:\u0026nbsp;\u003C\/strong\u003EMedical Imaging;\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003ESeismic Imaging; Generative Models;\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003EInverse Problems; Bayesian Inference; Uncertainty Quantification\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EHometown\u003C\/strong\u003E: Sonora, Mexico\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETell us briefly about your educational background and how you came to Georgia Tech.\u003C\/strong\u003E\u0026nbsp;\u003Cbr \/\u003E\r\nI studied in Mexico through high school. Then, I did my first two years of undergrad at the University of Arizona and transferred to Bucknell University. I was attracted to Georgia Tech\u2019s CSE program because it is a unique combination of domain science and computer science. It feels like I am both a programmer and a scientist.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EHow did you first become interested in computer science and machine learning?\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn high school, I saw a video demonstration of a genetic algorithm on the internet and became interested in the technology. My high school in Mexico did not have a computer science class, but a teacher mentored me and helped me compete at the Mexican Informatics Olympiad. When I started at Arizona, I researched the behavior of clouds from a Bayesian perspective. Since then, my research interests have always involved using Bayesian techniques to infer unknowns.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EYou mentioned your background a few times. Since it is National Hispanic Heritage Month, what does this observance mean to you?\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI am quite proud to be a part of this group. In Mexico and the U.S., fellow Hispanics have supported me and my pursuits, so I know firsthand of their kindness and resourcefulness. I think that Hispanic people welcome others, celebrating the joy our culture brings, and they appreciate that our country uses the opportunity to reflect on Hispanic history.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EYou study in Professor Felix Herrmann\u2019s\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/slim.gatech.edu\/\u0022\u003E\u003Cstrong\u003ESeismic Laboratory for Imaging and Modeling (SLIM)\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E\u0026nbsp;group. In your own words, what does this research group do?\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe develop techniques and software for imaging Earth\u2019s subsurface structures. These range from highly performant partial differential equation solvers to randomized numerical algebra to generative artificial intelligence (AI) models.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne of the driving goals of each software package we develop is that it needs to be scalable to real world applications. This entails imaging seismic areas that can be kilometers cubed in volume, represented typically by more than 100,000,000 simulation grid cells. In my medical applications, high-resolution images of human brains that can be resolved to less than half a millimeter.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EThe\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/www.imageevent.org\/\u0022\u003E\u003Cstrong\u003EInternational Meeting for Applied Geoscience and Energy (IMAGE)\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E\u0026nbsp;is a recent conference where SLIM gave nine presentations. What research did you present here?\u003C\/strong\u003E\u0026nbsp;\u003Cbr \/\u003E\r\nThe challenge of applying machine learning to seismic imaging is that there are no examples of what the earth looks like. While making high quality reference images of human tissues for supervised machine learning is possible, no one can \u201ccut open\u201d the earth to understand exactly what it looks like. \u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo address this challenge, I presented an algorithm that combines generative AI with an unsupervised training objective. We essentially trick the generative model into outputting full earth models by making it blind to which part of the Earth we are asking for. This is like when you take an exam where only a few questions will be graded, but you don\u2019t know which ones, so you answer all the questions just in case.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhile seismic imaging is the basis of SLIM research, there are other applications for the group\u2019s work. Can you discuss more about this?\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe imaging techniques that the energy industry has been using for decades toward imaging Earth\u2019s subsurface can be applied almost seamlessly to create medical images of human sub tissue.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELately, we have been tackling the particularly difficult modality of using high frequency ultrasound to image through the human skull. In our\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2303.03478\u0022\u003Erecent paper\u003C\/a\u003E, we are exploring a powerful combination between machine learning and physics-based methods that allows us to speed up imaging while adding uncertainty quantification.\u0026nbsp;\u0026nbsp;\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\nWe presented the work at this year\u2019s MIDL conference (\u003Ca href=\u0022https:\/\/2023.midl.io\/\u0022 target=\u0022_blank\u0022\u003EMedical Imaging with Deep Learning\u003C\/a\u003E) in July. The medical community was excited with our preliminary results and gave me valuable feedback on how we can help bring this technique closer to clinical viability.\u0026nbsp;\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe start of the fall semester can be busy for most Georgia Tech students, but this is especially true for\u0026nbsp;\u003Cstrong\u003ERafael Orozco\u003C\/strong\u003E. The Ph.D. student in Computational Science and Engineering (CSE) is part of a research group that presented at a major conference in August and is now preparing to host a research meeting in November.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe used the lull between events, research, and classes to meet with Orozco and learn more about his background and interests in this Meet CSE profile.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Profile story of School of CSE Ph.D. student Rafael Orozco"}],"uid":"36319","created_gmt":"2023-10-05 14:18:04","changed_gmt":"2024-12-09 17:36:57","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-10-05T00:00:00-04:00","iso_date":"2023-10-05T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"671947":{"id":"671947","type":"image","title":"Meet CSE Rafael Orozco.jpg","body":null,"created":"1696515509","gmt_created":"2023-10-05 14:18:29","changed":"1696515509","gmt_changed":"2023-10-05 14:18:29","alt":"Meet CSE Profile Rafael Orozco","file":{"fid":"255112","name":"Meet CSE Rafael Orozco.jpg","image_path":"\/sites\/default\/files\/2023\/10\/05\/Meet%20CSE%20Rafael%20Orozco.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/10\/05\/Meet%20CSE%20Rafael%20Orozco.jpg","mime":"image\/jpeg","size":260567,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/10\/05\/Meet%20CSE%20Rafael%20Orozco.jpg?itok=3uLgcBd_"}}},"media_ids":["671947"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/meet-cse-profile-phd-student-rafael-orozco","title":""}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"145","name":"Engineering"},{"id":"154","name":"Environment"},{"id":"135","name":"Research"},{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"76231","name":"Computational Science and Engineering"},{"id":"187915","name":"go-researchnews"},{"id":"10199","name":"Daily Digest"},{"id":"594","name":"college of engineering"},{"id":"183261","name":"artificial intelligence; College of Engineering"},{"id":"9167","name":"machine learning"},{"id":"187812","name":"artificial intelligence (AI)"},{"id":"192863","name":"go-ai"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"674510":{"#nid":"674510","#data":{"type":"news","title":"New Tool Teaches Responsible AI Practices When Using Large Language Models","body":[{"value":"\u003Cp\u003EThanks to a Georgia Tech researcher\u0027s new tool, application developers can now see potential harmful attributes in their prototypes.\u003C\/p\u003E\u003Cp\u003EFarsight is a tool designed for developers who use large language models (LLMs) to create applications powered by artificial intelligence (AI). Farsight alerts prototypers when they write LLM prompts that could be harmful and misused.\u003C\/p\u003E\u003Cp\u003EDownstream users can expect to benefit from better quality and safer products made with Farsight\u2019s assistance. The tool\u2019s lasting impact, though, is that it fosters responsible AI awareness by coaching developers on the proper use of LLMs.\u003C\/p\u003E\u003Cp\u003EMachine Learning Ph.D. candidate\u0026nbsp;\u003Ca href=\u0022https:\/\/zijie.wang\/\u0022\u003EZijie (Jay) Wang\u003C\/a\u003E\u0026nbsp;is\u0026nbsp;\u003Ca href=\u0022https:\/\/zijie.wang\/papers\/farsight\/\u0022\u003EFarsight\u003C\/a\u003E\u2019s lead architect. He will present the paper at the upcoming\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/research\/chi-2024\/\u0022\u003EConference on Human Factors in Computing Systems\u003C\/a\u003E\u0026nbsp;(CHI 2024). Farsight ranked in the top 5% of papers accepted to CHI 2024, earning it an honorable mention for the conference\u2019s best paper award.\u003C\/p\u003E\u003Cp\u003E\u201cLLMs have empowered millions of people with diverse backgrounds, including writers, doctors, and educators, to build and prototype powerful AI apps through prompting. However, many of these AI prototypers don\u2019t have training in computer science, let alone responsible AI practices,\u201d said Wang.\u003C\/p\u003E\u003Cp\u003E\u201cWith a growing number of AI incidents related to LLMs, it is critical to make developers aware of the potential harms associated with their AI applications.\u201d\u003C\/p\u003E\u003Cp\u003EWang referenced an example when\u0026nbsp;\u003Ca href=\u0022https:\/\/www.reuters.com\/legal\/new-york-lawyers-sanctioned-using-fake-chatgpt-cases-legal-brief-2023-06-22\/\u0022\u003Etwo lawyers used ChatGPT to write a legal brief\u003C\/a\u003E. A U.S. judge sanctioned the lawyers because their submitted brief contained six fictitious case citations that the LLM fabricated.\u003C\/p\u003E\u003Cp\u003EWith Farsight, the group aims to improve developers\u2019 awareness of responsible AI use. It achieves this by highlighting potential use cases, affected stakeholders, and possible harm associated with an application in the early prototyping stage.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EA user study involving 42 prototypers showed that developers could better identify potential harms associated with their prompts after using Farsight. The users also found the tool more helpful and usable than existing resources.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EFeedback from the study showed Farsight encouraged developers to focus on end-users and think beyond immediate harmful outcomes.\u003C\/p\u003E\u003Cp\u003E\u201cWhile resources, like workshops and online videos, exist to help AI prototypers, they are often seen as tedious, and most people lack the incentive and time to use them,\u201d said Wang.\u003C\/p\u003E\u003Cp\u003E\u201cOur approach was to consolidate and display responsible AI resources in the same space where AI prototypers write prompts. In addition, we leverage AI to highlight relevant real-life incidents and guide users to potential harms based on their prompts.\u201d\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/pair-code.github.io\/farsight\/\u0022\u003EFarsight employs an in-situ user interface\u003C\/a\u003E\u0026nbsp;to show developers the potential negative consequences of their applications during prototyping.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAlert symbols for \u201cneutral,\u201d \u201ccaution,\u201d and \u201cwarning\u201d notify users when prompts require more attention. When a user clicks the alert symbol, an awareness sidebar expands from one side of the screen.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe sidebar shows an incident panel with actual news headlines from incidents relevant to the harmful prompt. The sidebar also has a use-case panel that helps developers imagine how\u0026nbsp;different groups of people can use their applications in varying contexts.\u003C\/p\u003E\u003Cp\u003EAnother key feature is the harm envisioner. This functionality takes a user\u2019s prompt as input and assists them in envisioning potential harmful outcomes. The prompt branches into an interactive node tree that lists use cases, stakeholders, and harms, like \u201csocietal harm,\u201d \u201callocative harm,\u201d \u201cinterpersonal harm,\u201d and more.\u003C\/p\u003E\u003Cp\u003EThe novel design and insightful findings from the user study resulted in Farsight\u2019s acceptance for presentation at CHI 2024.\u003C\/p\u003E\u003Cp\u003ECHI is considered the most prestigious conference for human-computer interaction and one of the top-ranked conferences in computer science.\u003C\/p\u003E\u003Cp\u003ECHI is affiliated with the Association for Computing Machinery. The conference takes place May 11-16 in Honolulu.\u003C\/p\u003E\u003Cp\u003EWang worked on Farsight in Summer 2023 while interning at Google + AI Research group (PAIR).\u003C\/p\u003E\u003Cp\u003EFarsight\u2019s co-authors from Google PAIR include\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/chinmayk\/\u0022\u003EChinmay Kulkarni\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/laurenwilcox.net\/\u0022\u003ELauren Wilcox\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/research.google\/people\/michael-terry\/\u0022\u003EMichael Terry\u003C\/a\u003E, and\u0026nbsp;\u003Ca href=\u0022http:\/\/michaelmadaio.com\/\u0022\u003EMichael Madaio\u003C\/a\u003E. The group possesses closer ties to Georgia Tech than just through Wang.\u003C\/p\u003E\u003Cp\u003ETerry,\u0026nbsp;\u003Ca href=\u0022https:\/\/medium.com\/people-ai-research\/meet-the-new-co-leads-of-pair-lucas-dixon-and-michael-terry-17a67754fc10\u0022\u003Ethe current co-leader of Google PAIR\u003C\/a\u003E, earned his Ph.D. in human-computer interaction from Georgia Tech in 2005. Madaio graduated from Tech in 2015 with a M.S. in digital media. Wilcox was a full-time faculty member in the School of Interactive Computing from 2013 to 2021 and serves in an adjunct capacity today.\u003C\/p\u003E\u003Cp\u003EThough not an author, one of Wang\u2019s influences is his advisor,\u0026nbsp;\u003Ca href=\u0022https:\/\/poloclub.github.io\/\u0022\u003EPolo Chau\u003C\/a\u003E. Chau is an associate professor in the School of Computational Science and Engineering. His group specializes in data science, human-centered AI, and visualization research for social good.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cI think what makes Farsight interesting is its unique in-workflow and human-AI collaborative approach,\u201d said Wang.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cFurthermore, Farsight leverages LLMs to expand prototypers\u2019 creativity and brainstorm a wide range of use cases, stakeholders, and potential harms.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThanks to a Georgia Tech researcher\u0027s new tool, application developers can now see potential harmful attributes in their prototypes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFarsight is a tool designed for developers who use large language models (LLMs) to create applications powered by artificial intelligence (AI). Farsight alerts prototypers when they write LLM prompts that could be harmful and misused.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDownstream users can expect to benefit from better quality and safer products made with Farsight\u2019s assistance. The tool\u2019s lasting impact, though, is that it fosters responsible AI awareness by coaching developers on the proper use of LLMs.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Thanks to a Georgia Tech researcher\u0027s new tool, application developers can now see potential harmful attributes in their prototypes."}],"uid":"36319","created_gmt":"2024-05-06 00:10:44","changed_gmt":"2024-12-09 17:36:57","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-05-06T00:00:00-04:00","iso_date":"2024-05-06T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"673947":{"id":"673947","type":"image","title":"Farsight CHI.jpg","body":null,"created":"1714954253","gmt_created":"2024-05-06 00:10:53","changed":"1714954253","gmt_changed":"2024-05-06 00:10:53","alt":"CHI 2024 Farsight","file":{"fid":"257404","name":"Farsight CHI.jpg","image_path":"\/sites\/default\/files\/2024\/05\/05\/Farsight%20CHI.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/05\/05\/Farsight%20CHI.jpg","mime":"image\/jpeg","size":139358,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/05\/05\/Farsight%20CHI.jpg?itok=6genJVjw"}}},"media_ids":["673947"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/new-tool-teaches-responsible-ai-practices-when-using-large-language-models","title":"New Tool Teaches Responsible AI Practices When Using Large Language Models"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"187915","name":"go-researchnews"},{"id":"192863","name":"go-ai"},{"id":"10199","name":"Daily Digest"},{"id":"7846","name":"Georgia Tech Office of the Provost"},{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"2556","name":"artificial intelligence"},{"id":"9167","name":"machine learning"},{"id":"9153","name":"Research Horizons"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[{"id":"71881","name":"Science and Technology"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003Ebryant.wine@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"674511":{"#nid":"674511","#data":{"type":"news","title":"Georgia Tech Partners with Children\u2019s Hospital on New Heart Surgery Planning Tool","body":[{"value":"\u003Cp\u003ECardiologists and surgeons could soon have a new mobile augmented reality (AR) tool to improve collaboration in surgical planning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EARCollab is an iOS AR application designed for doctors to interact with patient-specific 3D heart models in a shared environment. It is the first surgical planning tool that uses multi-user mobile AR in iOS.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe application\u2019s collaborative feature overcomes limitations in traditional surgical modeling and planning methods. This offers patients better, personalized care from doctors who plan and collaborate with the tool.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech researchers partnered with Children\u2019s Healthcare of Atlanta (CHOA) in ARCollab\u2019s development.\u0026nbsp;\u003Ca href=\u0022https:\/\/github.com\/twixupmysleeve\u0022\u003EPratham Mehta\u003C\/a\u003E, a computer science major, led the group\u2019s research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cWe have conducted two trips to CHOA for usability evaluations with cardiologists and surgeons. The overall feedback from ARCollab users has been positive,\u201d Mehta said.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cThey all enjoyed experimenting with it and collaborating with other users. They also felt like it had the potential to be useful in surgical planning.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2402.05075\u0022\u003EARCollab\u003C\/a\u003E\u2019s collaborative environment is the tool\u2019s most novel feature. It allows surgical teams to study and plan together in a virtual workspace, regardless of location.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EARCollab supports a toolbox of features for doctors to inspect and interact with their patients\u0027 AR heart models. With a few finger gestures, users can scale and rotate, \u201cslice\u201d into the model, and modify a slicing plane to view omnidirectional cross-sections of the heart.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDeveloping ARCollab on iOS works twofold. This streamlines deployment and accessibility by making it available on the iOS App Store and Apple devices. Building ARCollab on Apple\u2019s peer-to-peer network framework ensures the functionality of the AR components. It also lessens the learning curve, especially for experienced AR users.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EARCollab overcomes traditional surgical planning practices of using physical heart models. Producing physical models is time-consuming, resource-intensive, and irreversible compared to digital models. It is also difficult for surgical teams to plan together since they are limited to studying a single physical model.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDigital and AR modeling is growing as an alternative to physical models.\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2208.10639\u0022\u003ECardiacAR\u003C\/a\u003E\u0026nbsp;is one such tool the group has already created.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHowever, digital platforms lack multi-user features essential for surgical teams to collaborate during planning. ARCollab\u2019s multi-user workspace progresses the technology\u2019s potential as a mass replacement for physical modeling.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cOver the past year and a half, we have been working on incorporating collaboration into our prior work with CardiacAR,\u201d Mehta said.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cThis involved completely changing the codebase, rebuilding the entire app and its features from the ground up in a newer AR framework that was better suited for collaboration and future development.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIts interactive and visualization features, along with its novelty and innovation, led the\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/research\/chi-2024\/\u0022\u003EConference on Human Factors in Computing Systems (CHI 2024)\u003C\/a\u003E\u0026nbsp;to accept ARCollab for presentation. The conference occurs May 11-16 in Honolulu.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECHI is considered the most prestigious conference for human-computer interaction and one of the top-ranked conferences in computer science.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EM.S. student\u0026nbsp;\u003Ca href=\u0022https:\/\/harshakaranth.com\/\u0022\u003EHarsha Karanth\u003C\/a\u003E\u0026nbsp;and alumnus\u0026nbsp;\u003Ca href=\u0022https:\/\/alexanderyang.me\/\u0022\u003EAlex Yang\u003C\/a\u003E\u0026nbsp;(CS 2022, M.S. CS 2023) co-authored the paper with Mehta. They study under\u0026nbsp;\u003Ca href=\u0022https:\/\/poloclub.github.io\/\u0022\u003EPolo Chau\u003C\/a\u003E, an associate professor in the School of Computational Science and Engineering.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Georgia Tech group partnered with Timothy Slesnick and Fawwaz Shaw from CHOA on ARCollab\u2019s development.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cWorking with the doctors and having them test out versions of our application and give us feedback has been the most important part of the collaboration with CHOA,\u201d Mehta said.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cThese medical professionals are experts in their field. We want to make sure to have features that they want and need, and that would make their job easier.\u201d\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ECardiologists and surgeons could soon have a new mobile augmented reality (AR) tool to improve collaboration in surgical planning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EARCollab is an iOS AR application designed for doctors to interact with patient-specific 3D heart models in a shared environment. It is the first surgical planning tool that uses multi-user mobile AR in iOS.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe application\u2019s collaborative feature overcomes limitations in traditional surgical modeling and planning methods. This offers patients better, personalized care from doctors who plan and collaborate with the tool.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech researchers partnered with Children\u2019s Healthcare of Atlanta (CHOA) in ARCollab\u2019s development.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Cardiologists and surgeons could soon have a new mobile augmented reality (AR) tool to improve collaboration in surgical planning."}],"uid":"36319","created_gmt":"2024-05-06 00:16:54","changed_gmt":"2024-12-09 17:36:57","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-05-06T00:00:00-04:00","iso_date":"2024-05-06T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"673978":{"id":"673978","type":"image","title":"A pediatrician listens to a young patient\u0027s heartbeat with a stethoscope","body":"\u003Cp\u003EAn Adobe Stock image of a pediatrician listening to a young patient\u0027s heartbeat with a stethoscope.\u003C\/p\u003E\r\n","created":"1715354643","gmt_created":"2024-05-10 15:24:03","changed":"1715354643","gmt_changed":"2024-05-10 15:24:03","alt":"A pediatrician listens to a young patient\u0027s heartbeat with a stethoscope.","file":{"fid":"257440","name":"AdobeStock_285408398 (1).jpeg","image_path":"\/sites\/default\/files\/2024\/05\/10\/AdobeStock_285408398%20%281%29.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/05\/10\/AdobeStock_285408398%20%281%29.jpeg","mime":"image\/jpeg","size":104275,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/05\/10\/AdobeStock_285408398%20%281%29.jpeg?itok=pgzOyLoe"}},"673948":{"id":"673948","type":"image","title":"ARCollab.png","body":null,"created":"1714954623","gmt_created":"2024-05-06 00:17:03","changed":"1714954623","gmt_changed":"2024-05-06 00:17:03","alt":"CHI 2024 ARCollab","file":{"fid":"257405","name":"ARCollab.png","image_path":"\/sites\/default\/files\/2024\/05\/05\/ARCollab.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/05\/05\/ARCollab.png","mime":"image\/png","size":203974,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/05\/05\/ARCollab.png?itok=uo3me70m"}}},"media_ids":["673978","673948"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/georgia-tech-partners-childrens-hospital-new-heart-surgery-planning-tool","title":"Georgia Tech Partners with Children\u2019s Hospital on New Heart Surgery Planning Tool"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"187915","name":"go-researchnews"},{"id":"192863","name":"go-ai"},{"id":"10199","name":"Daily Digest"},{"id":"7846","name":"Georgia Tech Office of the Provost"},{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"2556","name":"artificial intelligence"},{"id":"9167","name":"machine learning"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39441","name":"Bioengineering and Bioscience"}],"news_room_topics":[{"id":"71891","name":"Health and Medicine"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"678746":{"#nid":"678746","#data":{"type":"news","title":"Multipurpose Model Enhances Forecasting Across Epidemics, Energy, and Economics","body":[{"value":"\u003Cp\u003EA new machine learning (ML) model from Georgia Tech could protect communities from diseases, better manage electricity consumption in cities, and promote business growth, all at the same time.\u003C\/p\u003E\u003Cp\u003EResearchers from the School of Computational Science and Engineering (CSE) created the Large Pre-Trained Time-Series Model (LPTM) framework.\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2311.11413\u0022\u003E\u003Cstrong\u003ELPTM\u003C\/strong\u003E\u003C\/a\u003E is a single foundational model that completes forecasting tasks across a broad range of domains.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAlong with performing as well or better than models purpose-built for their applications, LPTM requires 40% less data and 50% less training time than current baselines. In some cases, LPTM can be deployed without any training data.\u003C\/p\u003E\u003Cp\u003EThe key to LPTM is that it is pre-trained on datasets from different industries like healthcare, transportation, and energy. The Georgia Tech group created an adaptive segmentation module to make effective use of these vastly different datasets.\u003C\/p\u003E\u003Cp\u003EThe Georgia Tech researchers will present LPTM in Vancouver, British Columbia, Canada, at the 2024 Conference on Neural Information Processing Systems (\u003Ca href=\u0022https:\/\/nips.cc\/\u0022\u003E\u003Cstrong\u003ENeurIPS 2024\u003C\/strong\u003E\u003C\/a\u003E). NeurIPS is one of the world\u2019s most prestigious conferences on artificial intelligence (AI) and ML research.\u003C\/p\u003E\u003Cp\u003E\u201cThe foundational model paradigm started with text and image, but people haven\u2019t explored time-series tasks yet because those were considered too diverse across domains,\u201d said\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~badityap\/\u0022\u003E\u003Cstrong\u003EB. Aditya Prakash\u003C\/strong\u003E\u003C\/a\u003E, one of LPTM\u2019s developers.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cOur work is a pioneer in this new area of exploration where only few attempts have been made so far.\u201d\u003C\/p\u003E\u003Cp\u003E[\u003Ca href=\u0022https:\/\/sites.gatech.edu\/research\/neurips-2024\/\u0022\u003E\u003Cstrong\u003EMICROSITE: Georgia Tech at NeurIPS 2024\u003C\/strong\u003E\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003EFoundational models are trained with data from different fields, making them powerful tools when assigned tasks. Foundational models drive GPT, DALL-E, and other popular generative AI platforms used today. LPTM is different though because it is geared toward time-series, not text and image generation. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe Georgia Tech researchers trained LPTM on data ranging from epidemics, macroeconomics, power consumption, traffic and transportation, stock markets, and human motion and behavioral datasets.\u003C\/p\u003E\u003Cp\u003EAfter training, the group pitted LPTM against 17 other models to make forecasts as close to nine real-case benchmarks. LPTM performed the best on five datasets and placed second on the other four.\u003C\/p\u003E\u003Cp\u003EThe nine benchmarks contained data from real-world collections. These included the spread of influenza in the U.S. and Japan, electricity, traffic, and taxi demand in New York, and financial markets.\u0026nbsp; \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe competitor models were purpose-built for their fields. While each model performed well on one or two benchmarks closest to its designed purpose, the models ranked in the middle or bottom on others.\u003C\/p\u003E\u003Cp\u003EIn another experiment, the Georgia Tech group tested LPTM against seven baseline models on the same nine benchmarks in zero-shot forecasting tasks. Zero-shot means the model is used out of the box and not given any specific guidance during training. LPTM outperformed every model across all benchmarks in this trial.\u003C\/p\u003E\u003Cp\u003ELPTM performed consistently as a top-runner on all nine benchmarks, demonstrating the model\u2019s potential to achieve superior forecasting results across multiple applications with less and resources.\u003C\/p\u003E\u003Cp\u003E\u201cOur model also goes beyond forecasting and helps accomplish other tasks,\u201d said Prakash, an associate professor in the School of CSE.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cClassification is a useful time-series task that allows us to understand the nature of the time-series and label whether that time-series is something we understand or is new.\u201d\u003C\/p\u003E\u003Cp\u003EOne reason traditional models are custom-built to their purpose is that fields differ in reporting frequency and trends.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EFor example, epidemic data is often reported weekly and goes through seasonal peaks with occasional outbreaks. Economic data is captured quarterly and typically remains consistent and monotone over time.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ELPTM\u2019s adaptive segmentation module allows it to overcome these timing differences across datasets. When LPTM receives a dataset, the module breaks data into segments of different sizes. Then, it scores all possible ways to segment data and chooses the easiest segment from which to learn useful patterns.\u003C\/p\u003E\u003Cp\u003ELPTM\u2019s performance, enhanced through the innovation of adaptive segmentation, earned the model acceptance to NeurIPS 2024 for presentation. NeurIPS is one of three primary international conferences on high-impact research in AI and ML. NeurIPS 2024 occurs Dec. 10-15.\u003C\/p\u003E\u003Cp\u003EPh.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/www.harsha-pk.com\/\u0022\u003E\u003Cstrong\u003EHarshavardhan Kamarthi\u003C\/strong\u003E\u003C\/a\u003E partnered with Prakash, his advisor, on LPTM. The duo are among the 162 Georgia Tech researchers presenting over 80 papers at the conference.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EPrakash is one of 46 Georgia Tech faculty with research accepted at NeurIPS 2024. Nine School of CSE faculty members, nearly one-third of the body, are authors or co-authors of 17 papers accepted at the conference.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAlong with sharing their research at NeurIPS 2024, Prakash and Kamarthi released an\u0026nbsp;\u003Ca href=\u0022https:\/\/github.com\/AdityaLab\/Samay\u0022\u003E\u003Cstrong\u003Eopen-source library of foundational time-series modules\u003C\/strong\u003E\u003C\/a\u003E that data scientists can use in their applications.\u003C\/p\u003E\u003Cp\u003E\u201cGiven the interest in AI from all walks of life, including business, social, and research and development sectors, a lot of work has been done and thousands of strong papers are submitted to the main AI conferences,\u201d Prakash said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cAcceptance of our paper speaks to the quality of the work and its potential to advance foundational methodology, and we hope to share that with a larger audience.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EA new machine learning (ML) model from Georgia Tech could protect communities from diseases, better manage electricity consumption in cities, and promote business growth, all at the same time.\u003C\/p\u003E\u003Cp\u003EResearchers from the School of Computational Science and Engineering (CSE) created the Large Pre-Trained Time-Series Model (LPTM) framework.\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2311.11413\u0022\u003E\u003Cstrong\u003ELPTM\u003C\/strong\u003E\u003C\/a\u003E is a single foundational model that completes forecasting tasks across a broad range of domains.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAlong with performing as well or better than models purpose-built for their applications, LPTM requires 40% less data and 50% less training time than current baselines. In some cases, LPTM can be deployed without any training data.\u003C\/p\u003E\u003Cp\u003EThe key to LPTM is that it is pre-trained on datasets from different industries like healthcare, transportation, and energy. The Georgia Tech group created an adaptive segmentation module to make effective use of these vastly different datasets.\u003C\/p\u003E\u003Cp\u003EThe Georgia Tech researchers will present LPTM in Vancouver, British Columbia, Canada, at the 2024 Conference on Neural Information Processing Systems (\u003Ca href=\u0022https:\/\/nips.cc\/\u0022\u003E\u003Cstrong\u003ENeurIPS 2024\u003C\/strong\u003E\u003C\/a\u003E). NeurIPS is one of the world\u2019s most prestigious conferences on artificial intelligence (AI) and ML research.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The Large Pre-Trained Time-Series Model (LPTM) framework completes forecasting tasks across a broad range of domains, outperforms current models,  and requires 40% less data and 50% less training time than current baselines."}],"uid":"36319","created_gmt":"2024-12-04 12:32:04","changed_gmt":"2024-12-05 20:53:31","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2024-12-03T00:00:00-05:00","iso_date":"2024-12-03T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"675764":{"id":"675764","type":"image","title":"LPTM Head photo.jpg","body":null,"created":"1733315535","gmt_created":"2024-12-04 12:32:15","changed":"1733315535","gmt_changed":"2024-12-04 12:32:15","alt":"CSE NeurIPS 2024","file":{"fid":"259428","name":"LPTM Head photo.jpg","image_path":"\/sites\/default\/files\/2024\/12\/04\/LPTM%20Head%20photo.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/12\/04\/LPTM%20Head%20photo.jpg","mime":"image\/jpeg","size":138121,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/12\/04\/LPTM%20Head%20photo.jpg?itok=-_oqygAy"}},"675765":{"id":"675765","type":"image","title":"Aditya and Harsha.jpg","body":null,"created":"1733315572","gmt_created":"2024-12-04 12:32:52","changed":"1733315572","gmt_changed":"2024-12-04 12:32:52","alt":"CSE NeurIPS 2024","file":{"fid":"259429","name":"Aditya and Harsha.jpg","image_path":"\/sites\/default\/files\/2024\/12\/04\/Aditya%20and%20Harsha.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/12\/04\/Aditya%20and%20Harsha.jpg","mime":"image\/jpeg","size":54358,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/12\/04\/Aditya%20and%20Harsha.jpg?itok=Dv3sFphr"}}},"media_ids":["675764","675765"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/multipurpose-model-enhances-forecasting-across-epidemics-energy-and-economics","title":"Multipurpose Model Enhances Forecasting Across Epidemics, Energy, and Economics"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"139","name":"Business"},{"id":"142","name":"City Planning, Transportation, and Urban Growth"},{"id":"42901","name":"Community"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"131","name":"Economic Development and Policy"},{"id":"144","name":"Energy"},{"id":"146","name":"Life Sciences and Biology"},{"id":"135","name":"Research"},{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"10199","name":"Daily Digest"},{"id":"9153","name":"Research Horizons"},{"id":"187915","name":"go-researchnews"},{"id":"192863","name":"go-ai"},{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"2556","name":"artificial intelligence"},{"id":"9167","name":"machine learning"},{"id":"191912","name":"Data Science at GT"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"678747":{"#nid":"678747","#data":{"type":"news","title":"New Dataset Takes Aim at Subjective Misinformation in Earnings Calls and Other Public Hearings","body":[{"value":"\u003Cp\u003EGeorgia Tech researchers have created a dataset that trains computer models to understand nuances in human speech during financial earnings calls. The dataset provides a new resource to study how public correspondence affects businesses and markets.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ESubjECTive-QA is the first human-curated dataset on question-answer pairs from earnings call transcripts (ECTs). The dataset teaches models to identify subjective features in ECTs, like clarity and cautiousness. \u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe dataset lays the foundation for a new approach to identifying disinformation and misinformation caused by nuances in speech. While ECT responses can be technically true, unclear or irrelevant information can misinform stakeholders and affect their decision-making.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ETests on White House press briefings showed that the dataset applies to other sectors with frequent question-and-answer encounters, notably politics, journalism, and sports. This increases the odds of effectively informing audiences and improving transparency across public spheres.\u0026nbsp; \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe intersecting work between natural language processing and finance earned\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2410.20651\u0022\u003E\u003Cstrong\u003Ethe paper\u003C\/strong\u003E\u003C\/a\u003E acceptance to\u0026nbsp;\u003Ca href=\u0022https:\/\/neurips.cc\/\u0022\u003E\u003Cstrong\u003ENeurIPS 2024\u003C\/strong\u003E\u003C\/a\u003E, the 38th Annual Conference on Neural Information Processing Systems. NeurIPS is one of the world\u2019s most prestigious conferences on artificial intelligence (AI) and machine learning (ML) research.\u003C\/p\u003E\u003Cp\u003E\u0022SubjECTive-QA has the potential to revolutionize nowcasting predictions with enhanced clarity and relevance,\u201d said\u0026nbsp;\u003Ca href=\u0022https:\/\/shahagam4.github.io\/\u0022\u003E\u003Cstrong\u003EAgam Shah\u003C\/strong\u003E\u003C\/a\u003E, the project\u2019s lead researcher.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cIts nuanced analysis of qualities in executive responses, like optimism and cautiousness, deepens our understanding of economic forecasts and financial transparency.\u0022\u003C\/p\u003E\u003Cp\u003E[\u003Ca href=\u0022https:\/\/sites.gatech.edu\/research\/neurips-2024\/\u0022\u003E\u003Cstrong\u003EMICROSITE: Georgia Tech at NeurIPS 2024\u003C\/strong\u003E\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003ESubjECTive-QA offers a new means to evaluate financial discourse by characterizing language\u0027s subjective and multifaceted nature. This improves on traditional datasets that quantify sentiment or verify claims from financial statements.\u003C\/p\u003E\u003Cp\u003EThe dataset consists of 2,747 Q\u0026amp;A pairs taken from 120 ECTs from companies listed on the New York Stock Exchange from 2007 to 2021. The Georgia Tech researchers annotated each response by hand based on six features for a total of 49,446 annotations.\u003C\/p\u003E\u003Cp\u003EThe group evaluated answers on:\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003ERelevance: the speaker answered the question with appropriate details.\u003C\/li\u003E\u003Cli\u003EClarity: the speaker was transparent in the answer and the message conveyed.\u003C\/li\u003E\u003Cli\u003EOptimism: the speaker answered with a positive outlook regarding future outcomes.\u003C\/li\u003E\u003Cli\u003ESpecificity: the speaker included sufficient and technical details in their answer.\u003C\/li\u003E\u003Cli\u003ECautiousness: the speaker answered using a conservative, risk-averse approach.\u003C\/li\u003E\u003Cli\u003EAssertiveness: the speaker answered with certainty about the company\u2019s events and outcomes.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EThe Georgia Tech group validated their dataset by training eight computer models to detect and score these six features. Test models comprised of three BERT-based pre-trained language models (PLMs), and five popular large language models (LLMs) including Llama and ChatGPT.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAll eight models scored the highest on the relevance and clarity features. This is attributed to domain-specific pretraining that enables the models to identify pertinent and understandable material.\u003C\/p\u003E\u003Cp\u003EThe PLMs achieved higher scores on the clear, optimistic, specific, and cautious categories. The LLMs scored higher in assertiveness and relevance.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIn another experiment to test transferability, a PLM trained with SubjECTive-QA evaluated 65 Q\u0026amp;A pairs from White House press briefings and gaggles. Scores across all six features indicated models trained on the dataset could succeed in other fields outside of finance.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0022Building on these promising results, the next step for SubjECTive-QA is to enhance customer service technologies, like chatbots,\u201d said Shah, a Ph.D. candidate studying machine learning.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cWe want to make these platforms more responsive and accurate by integrating our analysis techniques from SubjECTive-QA.\u0022\u003C\/p\u003E\u003Cp\u003ESubjECTive-QA culminated from two semesters of work through Georgia Tech\u2019s Vertically Integrated Projects (VIP) Program. The\u0026nbsp;\u003Ca href=\u0022https:\/\/vip.gatech.edu\/\u0022\u003E\u003Cstrong\u003EVIP Program\u003C\/strong\u003E\u003C\/a\u003E is an approach to higher education where undergraduate and graduate students work together on long-term project teams led by faculty.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EUndergraduate students earn academic credit and receive hands-on experience through VIP projects. The extra help advances ongoing research and gives graduate students mentorship experience.\u003C\/p\u003E\u003Cp\u003EComputer science major\u0026nbsp;\u003Ca href=\u0022http:\/\/pardawalahuzaifa.me\/\u0022\u003E\u003Cstrong\u003EHuzaifa Pardawala\u003C\/strong\u003E\u003C\/a\u003E and mathematics major\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/siddhantsukhani\/\u0022\u003E\u003Cstrong\u003ESiddhant Sukhani\u003C\/strong\u003E\u003C\/a\u003E co-led the SubjECTive-QA project with Shah.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EFellow collaborators included\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/veerkejriwal\/\u0022\u003E\u003Cstrong\u003EVeer Kejriwal\u003C\/strong\u003E\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/abhipi\/\u0022\u003E\u003Cstrong\u003EAbhishek Pillai\u003C\/strong\u003E\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/rohan-bhasin-356aa41a0\/?originalSubdomain=in\u0022\u003E\u003Cstrong\u003ERohan Bhasin\u003C\/strong\u003E\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/andrew-dibiasio-96164721a\/\u0022\u003E\u003Cstrong\u003EAndrew DiBiasio\u003C\/strong\u003E\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/tarun-mandapati-a90443206\/\u0022\u003E\u003Cstrong\u003ETarun Mandapati\u003C\/strong\u003E\u003C\/a\u003E, and\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/dhruv-adha-ba5142215\/\u0022\u003E\u003Cstrong\u003EDhruv Adha\u003C\/strong\u003E\u003C\/a\u003E. All six researchers are undergraduate students studying computer science.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.scheller.gatech.edu\/directory\/faculty\/chava\/index.html\u0022\u003E\u003Cstrong\u003ESudheer Chava\u003C\/strong\u003E\u003C\/a\u003E co-advises Shah and is the faculty lead of SubjECTive-QA. Chava is a professor in the Scheller College of Business and director of the M.S. in Quantitative and Computational Finance (QCF) program.\u003C\/p\u003E\u003Cp\u003EChava is also an adjunct faculty member in the College of Computing\u2019s \u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003E\u003Cstrong\u003ESchool of Computational Science and Engineering (CSE)\u003C\/strong\u003E\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003E\u0022Leading undergraduate students through the VIP Program taught me the powerful impact of balancing freedom with guidance,\u201d Shah said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cAllowing students to take the helm not only fosters their leadership skills but also enhances my own approach to mentoring, thus creating a mutually enriching educational experience.\u201d\u003C\/p\u003E\u003Cp\u003EPresenting SubjECTive-QA at NeurIPS 2024 exposes the dataset for further use and refinement. NeurIPS is one of three primary international conferences on high-impact research in AI and ML. The conference occurs Dec. 10-15.\u003C\/p\u003E\u003Cp\u003EThe SubjECTive-QA team is among the 162 Georgia Tech researchers presenting over 80 papers at NeurIPS 2024. The Georgia Tech contingent includes 46 faculty members, like Chava. These faculty represent Georgia Tech\u2019s Colleges of Business, Computing, Engineering, and Sciences, underscoring the pertinence of AI research across domains.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0022Presenting SubjECTive-QA at prestigious venues like NeurIPS propels our research into the spotlight, drawing the attention of key players in finance and tech,\u201d Shah said.\u003C\/p\u003E\u003Cp\u003E\u201cThe feedback we receive from this community of experts validates our approach and opens new avenues for future innovation, setting the stage for transformative applications in industry and academia.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech researchers have created a dataset that trains computer models to understand nuances in human speech during financial earnings calls. The dataset provides a new resource to study how public correspondence affects businesses and markets.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ESubjECTive-QA is the first human-curated dataset on question-answer pairs from earnings call transcripts (ECTs). The dataset teaches models to identify subjective features in ECTs, like clarity and cautiousness. \u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe dataset lays the foundation for a new approach to identifying disinformation and misinformation caused by nuances in speech. While ECT responses can be technically true, unclear or irrelevant information can misinform stakeholders and affect their decision-making.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ETests on White House press briefings showed that the dataset applies to other sectors with frequent question-and-answer encounters, notably politics, journalism, and sports. This increases the odds of effectively informing audiences and improving transparency across public spheres.\u0026nbsp; \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe intersecting work between natural language processing and finance earned\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2410.20651\u0022\u003E\u003Cstrong\u003Ethe paper\u003C\/strong\u003E\u003C\/a\u003E acceptance to\u0026nbsp;\u003Ca href=\u0022https:\/\/neurips.cc\/\u0022\u003E\u003Cstrong\u003ENeurIPS 2024\u003C\/strong\u003E\u003C\/a\u003E, the 38th Annual Conference on Neural Information Processing Systems. NeurIPS is one of the world\u2019s most prestigious conferences on artificial intelligence (AI) and machine learning (ML) research.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"SubjECTive-QA is the first human-curated dataset on question-answer pairs from earnings call transcripts (ECTs). The dataset teaches models to identify subjective features in ECTs, like clarity and cautiousness.  "}],"uid":"36319","created_gmt":"2024-12-04 12:35:53","changed_gmt":"2024-12-04 21:24:01","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2024-12-03T00:00:00-05:00","iso_date":"2024-12-03T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"675766":{"id":"675766","type":"image","title":"SubjECTive Head Photo.jpg","body":null,"created":"1733315763","gmt_created":"2024-12-04 12:36:03","changed":"1733315763","gmt_changed":"2024-12-04 12:36:03","alt":"CSE NeurIPS 2024","file":{"fid":"259430","name":"SubjECTive Head Photo.jpg","image_path":"\/sites\/default\/files\/2024\/12\/04\/SubjECTive%20Head%20Photo.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/12\/04\/SubjECTive%20Head%20Photo.jpg","mime":"image\/jpeg","size":136969,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/12\/04\/SubjECTive%20Head%20Photo.jpg?itok=w8UTZ_0k"}},"675767":{"id":"675767","type":"image","title":"SubjECTive Group.jpg","body":null,"created":"1733315790","gmt_created":"2024-12-04 12:36:30","changed":"1733315790","gmt_changed":"2024-12-04 12:36:30","alt":"CSE NeurIPS 2024","file":{"fid":"259431","name":"SubjECTive Group.jpg","image_path":"\/sites\/default\/files\/2024\/12\/04\/SubjECTive%20Group.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/12\/04\/SubjECTive%20Group.jpg","mime":"image\/jpeg","size":78610,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/12\/04\/SubjECTive%20Group.jpg?itok=fOO_WR5k"}}},"media_ids":["675766","675767"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/new-dataset-takes-aim-subjective-misinformation-earnings-calls-and-other-public-hearings","title":"New Dataset Takes Aim at Subjective Misinformation in Earnings Calls and Other Public Hearings"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"139","name":"Business"},{"id":"131","name":"Economic Development and Policy"},{"id":"135","name":"Research"},{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"10199","name":"Daily Digest"},{"id":"9153","name":"Research Horizons"},{"id":"187915","name":"go-researchnews"},{"id":"192863","name":"go-ai"},{"id":"167089","name":"Scheller College of Business"},{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"2556","name":"artificial intelligence"},{"id":"9167","name":"machine learning"},{"id":"191912","name":"Data Science at GT"},{"id":"5993","name":"quantitative and computational finance"},{"id":"190615","name":"Vertically Integrated Projects (VIP) Program"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"678316":{"#nid":"678316","#data":{"type":"news","title":"New HPC Algorithm Energizes Faster, Scalable Simulations of Chemical Systems","body":[{"value":"\u003Cp\u003EA first-of-its-kind algorithm developed at Georgia Tech is helping scientists study interactions between electrons. This innovation in modeling technology can lead to discoveries in physics, chemistry, materials science, and other fields.\u003C\/p\u003E\u003Cp\u003EThe new algorithm is faster than existing methods while remaining highly accurate. The solver surpasses the limits of current models by demonstrating scalability across chemical system sizes ranging from large to small.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EComputer scientists and engineers benefit from the algorithm\u2019s ability to balance processor loads. This work allows researchers to tackle larger, more complex problems without the prohibitive costs associated with previous methods.\u003C\/p\u003E\u003Cp\u003EIts ability to solve block linear systems drives the algorithm\u2019s ingenuity. According to the researchers, their approach is the first known use of a block linear system solver to calculate electronic correlation energy.\u003C\/p\u003E\u003Cp\u003EThe Georgia Tech team won\u2019t need to travel far to share their findings with the broader high-performance computing community. They will present their work in Atlanta at the 2024 International Conference for High Performance Computing, Networking, Storage and Analysis (\u003Ca href=\u0022https:\/\/sc24.supercomputing.org\/\u0022\u003ESC24\u003C\/a\u003E).\u003C\/p\u003E\u003Cp\u003E[\u003Ca href=\u0022https:\/\/sites.gatech.edu\/research\/sc-2024\/\u0022\u003EMICROSITE: Georgia Tech at SC24\u003C\/a\u003E]\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cThe combination of solving large problems with high accuracy can enable density functional theory simulation to tackle new problems in science and engineering,\u201d said\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~echow\/\u0022\u003EEdmond Chow\u003C\/a\u003E, professor and associate chair of Georgia Tech\u2019s School of Computational Science and Engineering (CSE).\u003C\/p\u003E\u003Cp\u003EDensity functional theory (DFT) is a modeling method for studying electronic structure in many-body systems, such as atoms and molecules.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAn important concept DFT models is electronic correlation, the interaction between electrons in a quantum system. Electron correlation energy is the measure of how much the movement of one electron is influenced by presence of all other electrons.\u003C\/p\u003E\u003Cp\u003ERandom phase approximation (RPA) is used to calculate electron correlation energy. While RPA is very accurate, it becomes computationally more expensive as the size of the system being calculated increases.\u003C\/p\u003E\u003Cp\u003EGeorgia Tech\u2019s algorithm enhances electronic correlation energy computations within the RPA framework. The approach circumvents inefficiencies and achieves faster solution times, even for small-scale chemical systems.\u003C\/p\u003E\u003Cp\u003EThe group integrated the algorithm into existing work on\u0026nbsp;\u003Ca href=\u0022https:\/\/www.phanishgroup.com\/software.html\u0022\u003ESPARC\u003C\/a\u003E, a real-space electronic structure software package for accurate, efficient, and scalable solutions of DFT equations. School of Civil and Environmental Engineering Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/ce.gatech.edu\/directory\/person\/phanish-suryanarayana\u0022\u003EPhanish Suryanarayana\u003C\/a\u003E is SPARC\u2019s lead researcher.\u003C\/p\u003E\u003Cp\u003EThe group tested the algorithm on small chemical systems of silicon crystals numbering as few as eight atoms. The method achieved faster calculation times and scaled to larger system sizes than direct approaches.\u003C\/p\u003E\u003Cp\u003E\u201cThis algorithm will enable SPARC to perform electronic structure calculations for realistic systems with a level of accuracy that is the gold standard in chemical and materials science research,\u201d said Suryanarayana.\u003C\/p\u003E\u003Cp\u003ERPA is expensive because it relies on quartic scaling. When the size of a chemical system is doubled, the computational cost increases by a factor of 16.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EInstead, Georgia Tech\u2019s algorithm scales cubically by solving block linear systems. This capability makes it feasible to solve larger problems at less expense.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ESolving block linear systems presents a challenging trade-off in solving different block sizes. While\u0026nbsp;larger blocks help reduce the number of steps of the solver, using them demands higher computational cost per step on computer processors.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ETech\u2019s solution is a dynamic block size selection solver. The solver allows each processor to independently select block sizes to calculate. This solution further assists in scaling, and improves processor load balancing and parallel efficiency.\u003C\/p\u003E\u003Cp\u003E\u201cThe new algorithm has many forms of parallelism, making it suitable for immense numbers of processors,\u201d Chow said. \u201cThe algorithm works in a real-space, finite-difference DFT code. Such a code can scale efficiently on the largest supercomputers.\u201d\u003C\/p\u003E\u003Cp\u003EGeorgia Tech alumni \u003Cstrong\u003EShikhar Shah\u003C\/strong\u003E (Ph.D. CSE 2024),\u0026nbsp;\u003Ca href=\u0022https:\/\/huanghua1994.github.io\/\u0022\u003EHua Huang\u003C\/a\u003E (Ph.D. CSE 2024), and Ph.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/boqin\/\u0022\u003EBoqin Zhang\u003C\/a\u003E led the algorithm\u2019s development. The project was the culmination of work for Shah and Huang, who completed their degrees this summer.\u0026nbsp;\u003Ca href=\u0022https:\/\/people.llnl.gov\/pask1\u0022\u003EJohn E. Pask\u003C\/a\u003E, a physicist at Lawrence Livermore National Laboratory, joined the Tech researchers on the work.\u003C\/p\u003E\u003Cp\u003EShah, Huang, Zhang, Suryanarayana, and Chow are among more than 50 students, faculty, research scientists, and alumni affiliated with Georgia Tech who are scheduled to give more than 30 presentations at SC24. The experts will present their research through papers, posters, panels, and workshops.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ESC24 takes place Nov. 17-22 at the Georgia World Congress Center in Atlanta.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cThe project\u2019s success came from combining expertise from people with diverse backgrounds ranging from numerical methods to chemistry and materials science to high-performance computing,\u201d Chow said.\u003C\/p\u003E\u003Cp\u003E\u201cWe could not have achieved this as individual teams working alone.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EA first-of-its-kind algorithm developed at Georgia Tech is helping scientists study interactions between electrons. This innovation in modeling technology can lead to discoveries in physics, chemistry, materials science, and other fields.\u003C\/p\u003E\u003Cp\u003EThe new algorithm is faster than existing methods while remaining highly accurate. The solver surpasses the limits of current models by demonstrating scalability across chemical system sizes ranging from large to small.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EComputer scientists and engineers benefit from the algorithm\u2019s ability to balance processor loads. This work allows researchers to tackle larger, more complex problems without the prohibitive costs associated with previous methods.\u003C\/p\u003E\u003Cp\u003EIts ability to solve block linear systems drives the algorithm\u2019s ingenuity. According to the researchers, their approach is the first known use of a block linear system solver to calculate electronic correlation energy.\u003C\/p\u003E\u003Cp\u003EThe Georgia Tech team won\u2019t need to travel far to share their findings with the broader high-performance computing community. They will present their work in Atlanta at the 2024 International Conference for High Performance Computing, Networking, Storage and Analysis (\u003Ca href=\u0022https:\/\/sc24.supercomputing.org\/\u0022\u003ESC24\u003C\/a\u003E).\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"A first-of-its-kind algorithm developed at Georgia Tech is helping scientists study interactions between electrons, unlocking discoveries in physics, chemistry, materials science, and other fields."}],"uid":"36319","created_gmt":"2024-11-11 15:01:19","changed_gmt":"2024-11-15 14:46:18","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2024-11-11T00:00:00-05:00","iso_date":"2024-11-11T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"675565":{"id":"675565","type":"image","title":"SC24.jpg","body":null,"created":"1731337286","gmt_created":"2024-11-11 15:01:26","changed":"1731337286","gmt_changed":"2024-11-11 15:01:26","alt":"CSE SC24","file":{"fid":"259204","name":"SC24.jpg","image_path":"\/sites\/default\/files\/2024\/11\/11\/SC24.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/11\/11\/SC24.jpg","mime":"image\/jpeg","size":242125,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/11\/11\/SC24.jpg?itok=Vfkaqyk9"}},"675566":{"id":"675566","type":"image","title":"EC and PS copy.png","body":null,"created":"1731337319","gmt_created":"2024-11-11 15:01:59","changed":"1731337319","gmt_changed":"2024-11-11 15:01:59","alt":"CSE Edmond Chow","file":{"fid":"259205","name":"EC and PS copy.png","image_path":"\/sites\/default\/files\/2024\/11\/11\/EC%20and%20PS%20copy.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/11\/11\/EC%20and%20PS%20copy.png","mime":"image\/png","size":176031,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/11\/11\/EC%20and%20PS%20copy.png?itok=B2dHffrd"}},"675567":{"id":"675567","type":"image","title":"SC24 Logo.png","body":null,"created":"1731337349","gmt_created":"2024-11-11 15:02:29","changed":"1731337349","gmt_changed":"2024-11-11 15:02:29","alt":"SC24","file":{"fid":"259206","name":"SC24 Logo.png","image_path":"\/sites\/default\/files\/2024\/11\/11\/SC24%20Logo.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/11\/11\/SC24%20Logo.png","mime":"image\/png","size":58594,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/11\/11\/SC24%20Logo.png?itok=8qK-umCh"}}},"media_ids":["675565","675566","675567"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"141","name":"Chemistry and Chemical Engineering"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"},{"id":"134","name":"Student and Faculty"}],"keywords":[{"id":"10199","name":"Daily Digest"},{"id":"9153","name":"Research Horizons"},{"id":"187915","name":"go-researchnews"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"167864","name":"School of Civil and Environmental Engineering"},{"id":"654","name":"College of Computing"},{"id":"594","name":"college of engineering"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"193652","name":"Matter and Systems"},{"id":"39541","name":"Systems"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"677707":{"#nid":"677707","#data":{"type":"news","title":"New Faculty Pluses School\u2019s Expertise in Neuroscience and Artificial Intelligence ","body":[{"value":"\u003Cp\u003ETwo new assistant professors joined the School of Computational Science and Engineering (CSE) faculty this fall.\u0026nbsp;\u003Ca href=\u0022https:\/\/lumimim.github.io\/\u0022\u003ELu Mi\u003C\/a\u003E comes to Georgia Tech from the Allen Institute for Brain Science in Seattle, where she was a Shanahan Foundation Fellow.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EWe sat down with Mi to learn more about her background and to introduce her to the Georgia Tech and College of Computing communities.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EFaculty:\u003C\/strong\u003E Lu Mi, assistant professor, School of CSE\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EResearch Interests:\u003C\/strong\u003E Computational Neuroscience, Machine Learning\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EEducation:\u003C\/strong\u003E Ph.D. in Computer Science from the Massachusetts Institute of Technology; B.S. in Measurement, Control, and Instruments from Tsinghua University\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EHometown:\u003C\/strong\u003E Sichuan, China (home of the giant pandas)\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EHow have your first few months at Georgia Tech gone so far?\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EI\u2019ve really enjoyed my time at Georgia Tech. Developing a new course has been both challenging and rewarding. I\u2019ve learned a lot from the process and conversations with students. My colleagues have been incredibly welcoming, and I\u2019ve had the opportunity to work with some very smart and motivated students here at Georgia Tech.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EYou hit the ground running this year by teaching your CSE 8803 course on brain-inspired machine intelligence. What important concepts do you teach in this class?\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EThis course focuses on comparing biological neural networks with artificial neural networks. We explore questions like: How does the brain encode information, perform computations, and learn? What can neuroscience and artificial intelligence (AI) learn from each other? Key topics include spiking neural networks, neural coding, and biologically plausible learning rules. By the end of the course, I expect students to have a solid understanding of neural algorithms and the emerging NeuroAI field.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhen and how did you become interested in computational neuroscience in the first place?\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EI\u2019ve been fascinated by how the brain works since I was young. My formal engagement with the field began during my Ph.D. research, where we developed algorithms to help neuroscientists map large-scale synaptic wiring diagrams in the brain. Since then, I\u2019ve had the opportunity to collaborate with researchers at institutions like Harvard, the Janelia Research Campus, the Allen Institute for Brain Science, and the University of Washington on various exciting projects in this field.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhat about your experience and research are you currently most proud of?\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EI\u2019m particularly proud of the framework we developed to integrate black-box machine learning models with biologically realistic mechanistic models. We use advanced deep-learning techniques to infer unobserved information and combine this with prior knowledge from mechanistic models. This allows us to test hypotheses by applying different model variants. I believe this framework holds great potential to address a wide range of scientific questions, leveraging the power of AI.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhat about Georgia Tech convinced you to accept a faculty position?\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EGeorgia Tech CSE felt like a perfect fit for my background and research interests, particularly within the AI4Science initiative and the development of computational tools for biology and neuroscience. My work overlaps with several colleagues here, and I\u2019m excited to collaborate with them. Georgia Tech also has a vibrant and impactful \u003Ca href=\u0022https:\/\/neuro.gatech.edu\/\u0022\u003ENeuro Next Initiative\u003C\/a\u003E community, which is another great attraction.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhat are your hobbies and interests when not researching and teaching?\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EI enjoy photography and love spending time with my two corgi dogs, especially taking them for walks.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhat have you enjoyed most so far about living in Atlanta?\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EI\u2019ve really appreciated the peaceful, green environment with so many trees. I\u2019m also looking forward to exploring more outdoor activities, like fishing and golfing.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ETwo new assistant professors joined the School of Computational Science and Engineering (CSE) faculty this fall.\u0026nbsp;\u003Ca href=\u0022https:\/\/lumimim.github.io\/\u0022\u003ELu Mi\u003C\/a\u003E comes to Georgia Tech from the Allen Institute for Brain Science in Seattle, where she was a Shanahan Foundation Fellow.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EWe sat down with Mi to learn more about her background and to introduce her to the Georgia Tech and College of Computing communities.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Two new assistant professors joined the School of Computational Science and Engineering (CSE) faculty this fall. Lu Mi comes to Georgia Tech from the Allen Institute for Brain Science in Seattle, where she was a Shanahan Foundation Fellow. "}],"uid":"36319","created_gmt":"2024-10-17 19:00:39","changed_gmt":"2024-10-17 19:06:02","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-10-17T00:00:00-04:00","iso_date":"2024-10-17T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"675349":{"id":"675349","type":"image","title":"Story Cover.jpg","body":null,"created":"1729191699","gmt_created":"2024-10-17 19:01:39","changed":"1729191699","gmt_changed":"2024-10-17 19:01:39","alt":"New CSE Faculty Lu Mi","file":{"fid":"258962","name":"Story Cover.jpg","image_path":"\/sites\/default\/files\/2024\/10\/17\/Story%20Cover.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/10\/17\/Story%20Cover.jpg","mime":"image\/jpeg","size":68737,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/10\/17\/Story%20Cover.jpg?itok=EU-819PB"}}},"media_ids":["675349"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/new-faculty-pluses-schools-expertise-neuroscience-and-artificial-intelligence","title":"New Faculty Pluses School\u2019s Expertise in Neuroscience and Artificial Intelligence"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"42901","name":"Community"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"172970","name":"go-neuro"},{"id":"192863","name":"go-ai"},{"id":"172288","name":"School of Computational Science Engineering"},{"id":"654","name":"College of Computing"},{"id":"2556","name":"artificial intelligence"},{"id":"9167","name":"machine learning"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"193656","name":"Neuro Next Initiative"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"676995":{"#nid":"676995","#data":{"type":"news","title":"Award-Winning Algorithm Used on Mars Rover Helps Scientists on Earth See Data in a New Way","body":[{"value":"\u003Cp\u003EA new algorithm tested on NASA\u2019s Perseverance Rover on Mars may lead to better forecasting of hurricanes, wildfires, and other extreme weather events that impact millions globally.\u003C\/p\u003E\u003Cp\u003EGeorgia Tech Ph.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/www.austinpwright.com\/\u0022\u003E\u003Cstrong\u003EAustin P. Wright\u003C\/strong\u003E\u003C\/a\u003E is first author of a paper that introduces Nested Fusion. The new algorithm improves scientists\u2019 ability to search for past signs of life on the Martian surface.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIn addition to supporting NASA\u2019s Mars 2020 mission, scientists from other fields working with large, overlapping datasets can use\u0026nbsp;\u003Ca href=\u0022https:\/\/dl.acm.org\/doi\/10.1145\/3637528.3671596\u0022\u003E\u003Cstrong\u003ENested Fusion\u2019s methods\u003C\/strong\u003E\u003C\/a\u003E toward their studies.\u003C\/p\u003E\u003Cp\u003EWright presented Nested Fusion at the 2024 International Conference on Knowledge Discovery and Data Mining (\u003Ca href=\u0022https:\/\/kdd2024.kdd.org\/\u0022\u003E\u003Cstrong\u003EKDD 2024\u003C\/strong\u003E\u003C\/a\u003E) where it was a\u0026nbsp;\u003Ca href=\u0022https:\/\/kdd2024.kdd.org\/awards\/\u0022\u003E\u003Cstrong\u003Erunner-up for the best paper award\u003C\/strong\u003E\u003C\/a\u003E. KDD is widely considered the world\u0027s most prestigious conference for knowledge discovery and data mining research.\u003C\/p\u003E\u003Cp\u003E\u201cNested Fusion is really useful for researchers in many different domains, not just NASA scientists,\u201d said Wright. \u201cThe method visualizes complex datasets that can be difficult to get an overall view of during the initial exploratory stages of analysis.\u201d\u003C\/p\u003E\u003Cp\u003ENested Fusion combines datasets with different resolutions to produce a single, high-resolution visual distribution. Using this method, NASA scientists can more easily analyze multiple datasets from various sources at the same time. This can lead to faster studies of Mars\u2019 surface composition to find clues of previous life.\u003C\/p\u003E\u003Cp\u003EThe algorithm demonstrates how data science impacts traditional scientific fields like chemistry, biology, and geology.\u003C\/p\u003E\u003Cp\u003EEven further, Wright is developing Nested Fusion applications to model shifting climate patterns, plant and animal life, and other concepts in the earth sciences. The same method can combine overlapping datasets from satellite imagery, biomarkers, and climate data.\u003C\/p\u003E\u003Cp\u003E\u201cUsers have extended Nested Fusion and similar algorithms toward earth science contexts, which we have received very positive feedback,\u201d said Wright, who studies machine learning (ML) at Georgia Tech.\u003C\/p\u003E\u003Cp\u003E\u201cCross-correlational analysis takes a long time to do and is not done in the initial stages of research when patterns appear and form new hypotheses. Nested Fusion enables people to discover these patterns much earlier.\u201d\u003C\/p\u003E\u003Cp\u003EWright is the data science and ML lead for\u0026nbsp;\u003Ca href=\u0022https:\/\/www.pixlise.org\/public\/pixlise\u0022\u003EPIXLISE\u003C\/a\u003E, the software that NASA JPL scientists use to study data from the Mars Perseverance Rover.\u003C\/p\u003E\u003Cp\u003EPerseverance uses its Planetary Instrument for X-ray Lithochemistry (PIXL) to collect data on mineral composition of Mars\u2019 surface. PIXL\u2019s two main tools that accomplish this are its X-ray Fluorescence (XRF) Spectrometer and Multi-Context Camera (MCC).\u003C\/p\u003E\u003Cp\u003EWhen PIXL scans a target area, it creates two co-aligned datasets from the components. XRF collects a sample\u0027s fine-scale elemental composition. MCC produces images of a sample to gather visual and physical details like size and shape.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EA single XRF spectrum corresponds to approximately 100 MCC imaging pixels for every scan point. Each tool\u2019s unique resolution makes mapping between overlapping data layers challenging. However, Wright and his collaborators designed Nested Fusion to overcome this hurdle.\u003C\/p\u003E\u003Cp\u003EIn addition to progressing data science, Nested Fusion improves NASA scientists\u0027 workflow. Using the method, a single scientist can form an initial estimate of a sample\u2019s mineral composition in a matter of hours. Before Nested Fusion, the same task required days of collaboration between teams of experts on each different instrument.\u003C\/p\u003E\u003Cp\u003E\u201cI think one of the biggest lessons I have taken from this work is that it is valuable to always ground my ML and data science problems in actual, concrete use cases of our collaborators,\u201d Wright said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cI learn from collaborators what parts of data analysis are important to them and the challenges they face. By understanding these issues, we can discover new ways of formalizing and framing problems in data science.\u201d\u003C\/p\u003E\u003Cp\u003EWright presented Nested Fusion at KDD 2024, held Aug. 25-29 in Barcelona, Spain. KDD is an official special interest group of the Association for Computing Machinery. The conference is one of the world\u2019s leading forums for knowledge discovery and data mining research.\u003C\/p\u003E\u003Cp\u003ENested Fusion won runner-up for the best paper in the applied data science track, which comprised of over 150 papers. Hundreds of other papers were presented at the conference\u2019s research track, workshops, and tutorials.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EWright\u2019s mentors,\u0026nbsp;\u003Ca href=\u0022https:\/\/scottdavidoff.com\/\u0022\u003EScott Davidoff\u003C\/a\u003E and\u0026nbsp;\u003Ca href=\u0022https:\/\/poloclub.github.io\/polochau\/\u0022\u003EPolo Chau\u003C\/a\u003E, co-authored the Nested Fusion paper. Davidoff is a principal research scientist at the NASA Jet Propulsion Laboratory. Chau is a professor at the Georgia Tech School of Computational Science and Engineering (CSE).\u003C\/p\u003E\u003Cp\u003E\u201cI was extremely happy that this work was recognized with the best paper runner-up award,\u201d Wright said. \u201cThis kind of applied work can sometimes be hard to find the right academic home, so finding communities that appreciate this work is very encouraging.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EA new algorithm tested on NASA\u2019s Perseverance Rover on Mars may lead to better forecasting of hurricanes, wildfires, and other extreme weather events that impact millions globally.\u003C\/p\u003E\u003Cp\u003EGeorgia Tech Ph.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/www.austinpwright.com\/\u0022\u003E\u003Cstrong\u003EAustin P. Wright\u003C\/strong\u003E\u003C\/a\u003E is first author of a paper that introduces Nested Fusion. The new algorithm improves scientists\u2019 ability to search for past signs of life on the Martian surface.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIn addition to supporting NASA\u2019s Mars 2020 mission, scientists from other fields working with large, overlapping datasets can use\u0026nbsp;\u003Ca href=\u0022https:\/\/dl.acm.org\/doi\/10.1145\/3637528.3671596\u0022\u003E\u003Cstrong\u003ENested Fusion\u2019s methods\u003C\/strong\u003E\u003C\/a\u003E toward their studies.\u003C\/p\u003E\u003Cp\u003EWright presented Nested Fusion at the 2024 International Conference on Knowledge Discovery and Data Mining (\u003Ca href=\u0022https:\/\/kdd2024.kdd.org\/\u0022\u003E\u003Cstrong\u003EKDD 2024\u003C\/strong\u003E\u003C\/a\u003E) where it was a\u0026nbsp;\u003Ca href=\u0022https:\/\/kdd2024.kdd.org\/awards\/\u0022\u003E\u003Cstrong\u003Erunner-up for the best paper award\u003C\/strong\u003E\u003C\/a\u003E. KDD is widely considered the world\u0027s most prestigious conference for knowledge discovery and data mining research.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Ph.D student Austin P. Wright wins a best paper runner-up award at an international conference for an algorithm used on the Mars Perseverance Rover than can be used in applications in earth science and other fields."}],"uid":"36319","created_gmt":"2024-09-19 18:01:05","changed_gmt":"2024-10-16 18:04:26","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-09-19T00:00:00-04:00","iso_date":"2024-09-19T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"675051":{"id":"675051","type":"image","title":"perserverence_story graphic.v2.jpg","body":null,"created":"1726768880","gmt_created":"2024-09-19 18:01:20","changed":"1726768880","gmt_changed":"2024-09-19 18:01:20","alt":"KDD 2024","file":{"fid":"258640","name":"perserverence_story graphic.v2.jpg","image_path":"\/sites\/default\/files\/2024\/09\/19\/perserverence_story%20graphic.v2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/09\/19\/perserverence_story%20graphic.v2.jpg","mime":"image\/jpeg","size":215743,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/09\/19\/perserverence_story%20graphic.v2.jpg?itok=vYR3AqeB"}},"675052":{"id":"675052","type":"image","title":"Nested Fusion Graphic copy.png","body":null,"created":"1726769003","gmt_created":"2024-09-19 18:03:23","changed":"1726769003","gmt_changed":"2024-09-19 18:03:23","alt":"KDD 2024","file":{"fid":"258642","name":"Nested Fusion Graphic copy.png","image_path":"\/sites\/default\/files\/2024\/09\/19\/Nested%20Fusion%20Graphic%20copy.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/09\/19\/Nested%20Fusion%20Graphic%20copy.png","mime":"image\/png","size":348284,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/09\/19\/Nested%20Fusion%20Graphic%20copy.png?itok=m2tg1Jmy"}},"675053":{"id":"675053","type":"image","title":"AW Square copy.jpg","body":null,"created":"1726769033","gmt_created":"2024-09-19 18:03:53","changed":"1726769033","gmt_changed":"2024-09-19 18:03:53","alt":"KDD 2024 Austin P. Wright","file":{"fid":"258643","name":"AW Square copy.jpg","image_path":"\/sites\/default\/files\/2024\/09\/19\/AW%20Square%20copy.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/09\/19\/AW%20Square%20copy.jpg","mime":"image\/jpeg","size":52877,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/09\/19\/AW%20Square%20copy.jpg?itok=AHCYZ8rp"}}},"media_ids":["675051","675052","675053"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/award-winning-algorithm-used-mars-rover-helps-scientists-earth-see-data-new-way","title":"Award-Winning Algorithm Used on Mars Rover Helps Scientists on Earth See Data in a New Way"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"136","name":"Aerospace"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"192863","name":"go-ai"},{"id":"10199","name":"Daily Digest"},{"id":"9153","name":"Research Horizons"},{"id":"187915","name":"go-researchnews"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"654","name":"College of Computing"},{"id":"187812","name":"artificial intelligence (AI)"},{"id":"9167","name":"machine learning"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39431","name":"Data Engineering and Science"},{"id":"193657","name":"Space Research Initiative"}],"news_room_topics":[{"id":"71911","name":"Earth and Environment"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"677620":{"#nid":"677620","#data":{"type":"news","title":"Heart Doctors Describe New Collaborative Planning Tool as \u2018Extremely Beneficial\u2019","body":[{"value":"\u003Cp\u003EA new surgery planning tool powered by augmented reality (AR) is in development for doctors who need closer collaboration when planning heart operations. Promising results from a recent usability test have moved the platform one step closer to everyday use in hospitals worldwide.\u003C\/p\u003E\u003Cp\u003EGeorgia Tech researchers partnered with medical experts from Children\u2019s Healthcare of Atlanta (CHOA) to develop and test\u0026nbsp;\u003Ca href=\u0022https:\/\/www.gatech.edu\/news\/2024\/05\/06\/georgia-tech-partners-childrens-hospital-new-heart-surgery-planning-tool\u0022\u003EARCollab\u003C\/a\u003E. The iOS-based app leverages advanced AR technologies to let doctors collaborate together and interact with a patient\u2019s 3D heart model when planning surgeries.\u003C\/p\u003E\u003Cp\u003EThe\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2408.03249\u0022\u003Eusability evaluation\u003C\/a\u003E demonstrates the app\u2019s effectiveness, finding that ARCollab is easy to use and understand, fosters collaboration, and improves surgical planning.\u003C\/p\u003E\u003Cp\u003E\u201cThis tool is a step toward easier collaborative surgical planning. ARCollab could reduce the reliance on physical heart models, saving hours and even days of time while maintaining the collaborative nature of surgical planning,\u201d said M.S. student\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/pratham2903\/\u0022\u003EPratham Mehta\u003C\/a\u003E, the app\u2019s lead researcher.\u003C\/p\u003E\u003Cp\u003E\u201cNot only can it benefit doctors when planning for surgery, it may also serve as a teaching tool to explain heart deformities and problems to patients.\u201d\u003C\/p\u003E\u003Cp\u003ETwo cardiologists and three cardiothoracic surgeons from CHOA tested ARCollab. The two-day study ended with the doctors taking a 14-question survey assessing the app\u2019s usability. The survey also solicited general feedback and top features.\u003C\/p\u003E\u003Cp\u003EThe Georgia Tech group determined from the open-ended feedback that:\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EARCollab enables new collaboration capabilities that are easy to use and facilitate surgical planning.\u003C\/li\u003E\u003Cli\u003EAnchoring the model to a physical space is important for better interaction.\u003C\/li\u003E\u003Cli\u003EPortability and real-time interaction are crucial for collaborative surgical planning.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EUsers rated each of the 14 questions on a 7-point Likert scale, with one being \u201cstrongly disagree\u201d and seven being \u201cstrongly agree.\u201d The 14 questions were organized into five categories: overall, multi-user, model viewing, model slicing, and saving and loading models.\u003C\/p\u003E\u003Cp\u003EThe multi-user category attained the highest rating with an average of 6.65. This included a unanimous 7.0 rating that it was easy to identify who was controlling the heart model in ARCollab. The scores also showed it was easy for users to connect with devices, switch between viewing and slicing, and view other users\u2019 interactions.\u003C\/p\u003E\u003Cp\u003EThe model slicing category received the lowest, but formidable, average of 5.5. These questions assessed ease of use and understanding of finger gestures and usefulness to toggle slice direction.\u003C\/p\u003E\u003Cp\u003EBased on feedback, the researchers will explore adding support for remote collaboration. This would assist doctors in collaborating when not in a shared physical space. Another improvement is extending the save feature to support multiple states.\u003C\/p\u003E\u003Cp\u003E\u201cThe surgeons and cardiologists found it extremely beneficial for multiple people to be able to view the model and collaboratively interact with it in real-time,\u201d Mehta said.\u003C\/p\u003E\u003Cp\u003EThe user study took place in a CHOA classroom. CHOA also provided a 3D heart model for the test using anonymous medical imaging data. Georgia Tech\u2019s\u0026nbsp;\u003Ca href=\u0022https:\/\/oria.gatech.edu\/irb\u0022\u003EInstitutional Review Board (IRB)\u003C\/a\u003E approved the study and the group collected data in accordance with Institute policies.\u003C\/p\u003E\u003Cp\u003EThe five test participants regularly perform cardiovascular surgical procedures and are employed by CHOA.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe Georgia Tech group provided each participant with an iPad Pro with the latest iOS version and the ARCollab app installed. Using commercial devices and software meets the group\u2019s intentions to make the tool universally available and deployable.\u003C\/p\u003E\u003Cp\u003E\u201cWe plan to continue iterating ARCollab based on the feedback from the users,\u201d Mehta said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cThe participants suggested the addition of a \u2018distance collaboration\u2019 mode, enabling doctors to collaborate even if they are not in the same physical environment. This allows them to facilitate surgical planning sessions from home or otherwise.\u201d\u003C\/p\u003E\u003Cp\u003EThe Georgia Tech researchers are presenting ARCollab and the user study results at\u0026nbsp;\u003Ca href=\u0022https:\/\/ieeevis.org\/year\/2024\/welcome\u0022\u003EIEEE VIS 2024\u003C\/a\u003E, the Institute of Electrical and Electronics Engineers (IEEE) visualization conference.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIEEE VIS is the world\u2019s most prestigious conference for visualization research and the second-highest rated conference for computer graphics. It takes place virtually Oct. 13-18, moved from its venue in St. Pete Beach, Florida, due to Hurricane Milton.\u003C\/p\u003E\u003Cp\u003EThe ARCollab research group\u0027s presentation at IEEE VIS comes months after they shared their work at the Conference on Human Factors in Computing Systems (\u003Ca href=\u0022https:\/\/sites.gatech.edu\/research\/chi-2024\/\u0022\u003ECHI 2024\u003C\/a\u003E).\u003C\/p\u003E\u003Cp\u003EUndergraduate student\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/rahul-ozhur-narayanan-0899a8217\/\u0022\u003ERahul Narayanan\u003C\/a\u003E and alumni\u0026nbsp;\u003Ca href=\u0022https:\/\/harshakaranth.com\/\u0022\u003EHarsha Karanth\u003C\/a\u003E (M.S. CS 2024) and\u0026nbsp;\u003Ca href=\u0022https:\/\/alexanderyang.me\/\u0022\u003EHaoyang (Alex) Yang\u003C\/a\u003E (CS 2022, M.S. CS 2023) co-authored the paper with Mehta. They study under\u0026nbsp;\u003Ca href=\u0022https:\/\/poloclub.github.io\/\u0022\u003EPolo Chau\u003C\/a\u003E, a professor in the School of Computational Science and Engineering.\u003C\/p\u003E\u003Cp\u003EThe Georgia Tech group partnered with Dr. \u003Cstrong\u003ETimothy Slesnick\u003C\/strong\u003E and Dr. \u003Cstrong\u003EFawwaz Shaw\u003C\/strong\u003E from CHOA on ARCollab\u2019s development and user testing.\u003C\/p\u003E\u003Cp\u003E\u0022I\u0027m grateful for these opportunities since I get to showcase the team\u0027s hard work,\u0022 Mehta said.\u003C\/p\u003E\u003Cp\u003E\u201cI can meet other like-minded researchers and students who share these interests in visualization and human-computer interaction. There is no better form of learning.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EA new surgery planning tool powered by augmented reality (AR) is in development for doctors in need of better collaboration when planning heart operations. Promising results from a recent usability test have moved the platform one step closer to everyday use in hospitals worldwide.\u003C\/p\u003E\u003Cp\u003EGeorgia Tech researchers partnered with medical experts from Children\u2019s Healthcare of Atlanta (CHOA) to develop and test\u0026nbsp;\u003Ca href=\u0022https:\/\/www.gatech.edu\/news\/2024\/05\/06\/georgia-tech-partners-childrens-hospital-new-heart-surgery-planning-tool\u0022\u003EARCollab\u003C\/a\u003E. The iOS-based app leverages advanced AR technologies to let doctors collaborate together and interact with a patient\u2019s 3D heart model when planning surgeries.\u003C\/p\u003E\u003Cp\u003EThe\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2408.03249\u0022\u003Eusability evaluation\u003C\/a\u003E demonstrates the app\u2019s effectiveness, finding that ARCollab is easy to use and understand, fosters collaboration, and improves surgical planning.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"A usability evaluation of ARCollab demonstrated the app\u2019s effectiveness, finding it easy to use and understand, fosters collaboration, and improves heart surgery planning."}],"uid":"36319","created_gmt":"2024-10-16 14:12:35","changed_gmt":"2024-10-16 15:16:02","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-10-16T00:00:00-04:00","iso_date":"2024-10-16T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"675333":{"id":"675333","type":"image","title":"ARCollab Head Image.jpg","body":null,"created":"1729087961","gmt_created":"2024-10-16 14:12:41","changed":"1729087961","gmt_changed":"2024-10-16 14:12:41","alt":"ARCollab Usability Evaluation","file":{"fid":"258944","name":"ARCollab Head Image.jpg","image_path":"\/sites\/default\/files\/2024\/10\/16\/ARCollab%20Head%20Image.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/10\/16\/ARCollab%20Head%20Image.jpg","mime":"image\/jpeg","size":167048,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/10\/16\/ARCollab%20Head%20Image.jpg?itok=nA2bDcOj"}},"675334":{"id":"675334","type":"image","title":"PM at CHI.png","body":null,"created":"1729087994","gmt_created":"2024-10-16 14:13:14","changed":"1729087994","gmt_changed":"2024-10-16 14:13:14","alt":"Pratham Mehta at CHI 2024","file":{"fid":"258945","name":"PM at CHI.png","image_path":"\/sites\/default\/files\/2024\/10\/16\/PM%20at%20CHI.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/10\/16\/PM%20at%20CHI.png","mime":"image\/png","size":407347,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/10\/16\/PM%20at%20CHI.png?itok=NmqqLc3T"}},"675335":{"id":"675335","type":"image","title":"VIS Graphic.jpeg","body":null,"created":"1729088018","gmt_created":"2024-10-16 14:13:38","changed":"1729088018","gmt_changed":"2024-10-16 14:13:38","alt":"Georgia Tech @ VIS 2024","file":{"fid":"258946","name":"VIS Graphic.jpeg","image_path":"\/sites\/default\/files\/2024\/10\/16\/VIS%20Graphic.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/10\/16\/VIS%20Graphic.jpeg","mime":"image\/jpeg","size":125923,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/10\/16\/VIS%20Graphic.jpeg?itok=fBVRzr59"}}},"media_ids":["675333","675334","675335"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/heart-doctors-describe-new-collaborative-planning-tool-extremely-beneficial","title":"Heart Doctors Describe New Collaborative Planning Tool as \u2018Extremely Beneficial\u2019"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"10199","name":"Daily Digest"},{"id":"9153","name":"Research Horizons"},{"id":"187915","name":"go-researchnews"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"654","name":"College of Computing"},{"id":"192863","name":"go-ai"},{"id":"2556","name":"artificial intelligence"},{"id":"9167","name":"machine learning"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"675889":{"#nid":"675889","#data":{"type":"news","title":"Study Highlights Challenges in Detecting Violent Speech Aimed at Asian Communities","body":[{"value":"\u003Cp\u003EA research group is calling for internet and social media moderators to strengthen their detection and intervention protocols for violent speech.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ETheir study of language detection software found that algorithms struggle to differentiate anti-Asian violence-provoking speech from general hate speech. Left unchecked, threats of violence online can go unnoticed and turn into real-world attacks.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EResearchers from Georgia Tech and the Anti-Defamation League (ADL) teamed together\u0026nbsp;\u003Ca href=\u0022https:\/\/claws-lab.github.io\/violence-provoking-speech\/\u0022\u003E\u003Cstrong\u003Ein the study\u003C\/strong\u003E\u003C\/a\u003E. They made their discovery while testing natural language processing (NLP) models trained on data they crowdsourced from Asian communities.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cThe Covid-19 pandemic brought attention to how dangerous violence-provoking speech can be. There was a clear increase in reports of anti-Asian violence and hate crimes,\u201d said\u0026nbsp;\u003Ca href=\u0022https:\/\/gaurav22verma.github.io\/\u0022\u003E\u003Cstrong\u003EGaurav Verma\u003C\/strong\u003E\u003C\/a\u003E, a Georgia Tech Ph.D. candidate who led the study.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cSuch speech is often amplified on social platforms, which in turn fuels anti-Asian sentiments and attacks.\u201d\u003C\/p\u003E\u003Cp\u003EViolence-provoking speech differs from more commonly studied forms of harmful speech, like hate speech. While hate speech denigrates or insults a group, violence-provoking speech implicitly or explicitly encourages violence against targeted communities.\u003C\/p\u003E\u003Cp\u003EHumans can define and characterize violent speech as a subset of hateful speech. However, computer models struggle to tell the difference due to subtle cues and implications in language.\u003C\/p\u003E\u003Cp\u003EThe researchers tested five different NLP classifiers and analyzed their F1 score, which measures a model\u0027s performance. The classifiers reported a 0.89 score for detecting hate speech, while detecting violence-provoking speech was only 0.69. This contrast highlights the notable gap between these tools and their accuracy and reliability.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe study stresses the importance of developing more refined methods for detecting violence-provoking speech. Internet misinformation and inflammatory rhetoric escalate tensions that lead to real-world violence.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe Covid-19 pandemic exemplified how public health crises intensify this behavior, helping inspire the study. The group cited that anti-Asian crime across the U.S. increased by 339% in 2021 due to malicious content blaming Asians for the virus.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe researchers believe their findings show the effectiveness of community-centric approaches to problems dealing with harmful speech. These approaches would enable informed decision-making between policymakers, targeted communities, and developers of online platforms.\u003C\/p\u003E\u003Cp\u003EAlong with stronger models for detecting violence-provoking speech, the group discusses a direct solution: a tiered penalty system on online platforms. Tiered systems align penalties with severity of offenses, acting as both deterrent and intervention to different levels of harmful speech.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cWe believe that we cannot tackle a problem that affects a community without involving people who are directly impacted,\u201d said\u0026nbsp;\u003Ca href=\u0022https:\/\/jiaweizhou.me\/\u0022\u003E\u003Cstrong\u003EJiawei Zhou\u003C\/strong\u003E\u003C\/a\u003E, a Ph.D. student who studies human-centered computing at Georgia Tech.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cBy collaborating with experts and community members, we ensure our research builds on front-line efforts to combat violence-provoking speech while remaining rooted in real experiences and needs of the targeted community.\u201d\u003C\/p\u003E\u003Cp\u003EThe researchers trained their tested NLP classifiers on a dataset crowdsourced from a survey of 120 participants who self-identified as Asian community members. In the survey, the participants labeled 1,000 posts from X (formerly Twitter) as containing either violence-provoking speech, hateful speech, or neither.\u003C\/p\u003E\u003Cp\u003ESince characterizing violence-provoking speech is not universal, the researchers created a specialized codebook for survey participants. The participants studied the codebook before their survey and used an abridged version while labeling.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ETo create the codebook, the group used an initial set of anti-Asian keywords to scan posts on X from January 2020 to February 2023. This tactic yielded 420,000 posts containing harmful, anti-Asian language.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe researchers then filtered the batch through new keywords and phrases. This refined the sample to 4,000 posts that potentially contained violence-provoking content. Keywords and phrases were added to the codebook while the filtered posts were used in the labeling survey.\u003C\/p\u003E\u003Cp\u003EThe team used discussion and pilot testing to validate its codebook. During trial testing, pilots labeled 100 Twitter posts to ensure the sound design of the Asian community survey. The group also sent the codebook to the ADL for review and incorporated the organization\u2019s feedback.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cOne of the major challenges in studying violence-provoking content online is effective data collection and funneling down because most platforms actively moderate and remove overtly hateful and violent material,\u201d said Tech alumnus\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/rynaagrover\/\u0022\u003E\u003Cstrong\u003ERynaa Grover\u003C\/strong\u003E\u003C\/a\u003E (M.S. CS 2024).\u003C\/p\u003E\u003Cp\u003E\u201cTo address the complexities of this data, we developed an innovative pipeline that deals with the scale of this data in a community-aware manner.\u201d\u003C\/p\u003E\u003Cp\u003EEmphasis on community input extended into collaboration within Georgia Tech\u2019s College of Computing. Faculty members\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~srijan\/\u0022\u003E\u003Cstrong\u003ESrijan Kumar\u003C\/strong\u003E\u003C\/a\u003E and\u0026nbsp;\u003Ca href=\u0022http:\/\/www.munmund.net\/\u0022\u003E\u003Cstrong\u003EMunmun De Choudhury\u003C\/strong\u003E\u003C\/a\u003E oversaw the research that their students spearheaded.\u003C\/p\u003E\u003Cp\u003EKumar, an assistant professor in the School of Computational Science and Engineering, advises Verma and Grover. His expertise is in artificial intelligence, data mining, and online safety.\u003C\/p\u003E\u003Cp\u003EDe Choudhury is an associate professor in the School of Interactive Computing and advises Zhou. Their research connects societal mental health and social media interactions.\u003C\/p\u003E\u003Cp\u003EThe Georgia Tech researchers partnered with the ADL, a leading non-governmental organization that combats real-world hate and extremism. ADL researchers\u0026nbsp;\u003Ca href=\u0022https:\/\/binny-mathew.github.io\/\u0022\u003E\u003Cstrong\u003EBinny Mathew\u003C\/strong\u003E\u003C\/a\u003E and\u0026nbsp;\u003Ca href=\u0022http:\/\/www.jordankraemer.com\/\u0022\u003E\u003Cstrong\u003EJordan Kraemer\u003C\/strong\u003E\u003C\/a\u003E co-authored the paper.\u003C\/p\u003E\u003Cp\u003EThe group will present its paper at the\u0026nbsp;\u003Ca href=\u0022https:\/\/2024.aclweb.org\/\u0022\u003E\u003Cstrong\u003E62nd Annual Meeting of the Association for Computational Linguistics\u003C\/strong\u003E\u003C\/a\u003E (ACL 2024), which takes place in Bangkok, Thailand, Aug. 11-16\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EACL 2024 accepted 40 papers written by Georgia Tech researchers. Of the 12 Georgia Tech faculty who authored papers accepted at the conference, nine are from the College of Computing, including Kumar and De Choudhury.\u003C\/p\u003E\u003Cp\u003E\u201cIt is great to see that the peers and research community recognize the importance of community-centric work that provides grounded insights about the capabilities of leading language models,\u201d Verma said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cWe hope the platform encourages more work that presents community-centered perspectives on important societal problems.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EVisit \u003C\/em\u003E\u003Ca href=\u0022https:\/\/sites.gatech.edu\/research\/acl-2024\/\u0022\u003E\u003Cem\u003Ehttps:\/\/sites.gatech.edu\/research\/acl-2024\/\u003C\/em\u003E\u003C\/a\u003E\u003Cem\u003E for news and coverage of Georgia Tech research presented at ACL 2024.\u003C\/em\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EA research group is calling for internet and social media moderators to strengthen their detection and intervention protocols for violent speech.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ETheir study of language detection software found that algorithms struggle to differentiate anti-Asian violence-provoking speech from general hate speech. Left unchecked, threats of violence online can go unnoticed and turn into real-world attacks.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EResearchers from Georgia Tech and the Anti-Defamation League (ADL) teamed together\u0026nbsp;\u003Ca href=\u0022https:\/\/claws-lab.github.io\/violence-provoking-speech\/\u0022\u003E\u003Cstrong\u003Ein the study\u003C\/strong\u003E\u003C\/a\u003E. They made their discovery while testing natural language processing (NLP) models trained on data they crowdsourced from Asian communities.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"A study of language detection software found that algorithms struggle to differentiate anti-Asian violence-provoking speech from general hate speech. Left unchecked, threats of violence online can go unnoticed and turn into real-world attacks. "}],"uid":"36319","created_gmt":"2024-08-09 18:25:33","changed_gmt":"2024-08-12 14:35:52","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-08-07T00:00:00-04:00","iso_date":"2024-08-07T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"674549":{"id":"674549","type":"image","title":"stopping_asian_hate story.jpg","body":null,"created":"1723227945","gmt_created":"2024-08-09 18:25:45","changed":"1723227945","gmt_changed":"2024-08-09 18:25:45","alt":"CSE ACL 2024","file":{"fid":"258092","name":"stopping_asian_hate story.jpg","image_path":"\/sites\/default\/files\/2024\/08\/09\/stopping_asian_hate%20story.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/08\/09\/stopping_asian_hate%20story.jpg","mime":"image\/jpeg","size":116043,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/08\/09\/stopping_asian_hate%20story.jpg?itok=mwTZ9fpB"}},"674550":{"id":"674550","type":"image","title":"GV ACL 2024.jpg","body":null,"created":"1723227974","gmt_created":"2024-08-09 18:26:14","changed":"1723227974","gmt_changed":"2024-08-09 18:26:14","alt":"Gaurav Verma CSE ACL 2024","file":{"fid":"258093","name":"GV ACL 2024.jpg","image_path":"\/sites\/default\/files\/2024\/08\/09\/GV%20ACL%202024.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/08\/09\/GV%20ACL%202024.jpg","mime":"image\/jpeg","size":99701,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/08\/09\/GV%20ACL%202024.jpg?itok=at_-uSbG"}},"674551":{"id":"674551","type":"image","title":"SK and MDC ACL 2024.jpg","body":null,"created":"1723228196","gmt_created":"2024-08-09 18:29:56","changed":"1723228196","gmt_changed":"2024-08-09 18:29:56","alt":"Srijan Kumar CSE ACL 2024","file":{"fid":"258094","name":"SK and MDC ACL 2024.jpg","image_path":"\/sites\/default\/files\/2024\/08\/09\/SK%20and%20MDC%20ACL%202024.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/08\/09\/SK%20and%20MDC%20ACL%202024.jpg","mime":"image\/jpeg","size":59514,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/08\/09\/SK%20and%20MDC%20ACL%202024.jpg?itok=OFDDw98_"}},"674552":{"id":"674552","type":"image","title":"ACL Figure.png","body":null,"created":"1723228228","gmt_created":"2024-08-09 18:30:28","changed":"1723228228","gmt_changed":"2024-08-09 18:30:28","alt":"CSE ACL 2024","file":{"fid":"258095","name":"ACL Figure.png","image_path":"\/sites\/default\/files\/2024\/08\/09\/ACL%20Figure.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/08\/09\/ACL%20Figure.png","mime":"image\/png","size":338094,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/08\/09\/ACL%20Figure.png?itok=vNvVS4_O"}}},"media_ids":["674549","674550","674551","674552"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/study-highlights-challenges-detecting-violent-speech-aimed-asian-communities","title":"Study Highlights Challenges in Detecting Violent Speech Aimed at Asian Communities"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"},{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"192863","name":"go-ai"},{"id":"10199","name":"Daily Digest"},{"id":"9153","name":"Research Horizons"},{"id":"187915","name":"go-researchnews"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"187812","name":"artificial intelligence (AI)"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"145171","name":"Cybersecurity"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39501","name":"People and Technology"},{"id":"39511","name":"Public Service, Leadership, and Policy"}],"news_room_topics":[{"id":"71881","name":"Science and Technology"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"675438":{"#nid":"675438","#data":{"type":"news","title":"Hybrid Machine Learning Model Untangles Web of Communication in the Brain","body":[{"value":"\u003Cp\u003EA new machine learning (ML) model created at Georgia Tech is helping neuroscientists better understand communications between brain regions. Insights from the model could lead to personalized medicine, better brain-computer interfaces, and advances in neurotechnology.\u003C\/p\u003E\u003Cp\u003EThe Georgia Tech group combined two current ML methods into their hybrid model called MRM-GP (Multi-Region Markovian Gaussian Process).\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ENeuroscientists who use MRM-GP learn more about communications and interactions within the brain. This in turn improves understanding of brain functions and disorders.\u003C\/p\u003E\u003Cp\u003E\u201cClinically, MRM-GP could enhance diagnostic tools and treatment monitoring by identifying and analyzing neural activity patterns linked to various brain disorders,\u201d said \u003Ca href=\u0022https:\/\/scholar.google.com\/citations?user=qW4_NR4AAAAJ\u0026amp;hl=en\u0022\u003EWeihan Li\u003C\/a\u003E, the study\u2019s lead researcher.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cNeuroscientists can leverage MRM-GP for its robust modeling capabilities and efficiency in handling large-scale brain data.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EMRM-GP reveals where and how communication travels across brain regions.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe group tested MRM-GP using spike trains and local field potential recordings, two kinds of measurements of brain activity. These tests produced representations that illustrated directional flow of communication among brain regions.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EExperiments also disentangled brainwaves, called oscillatory interactions, into organized frequency bands. MRM-GP\u2019s hybrid configuration allows it to model frequencies and phase delays within the latent space of neural recordings.\u003C\/p\u003E\u003Cp\u003EMRM-GP combines the strengths of two existing methods: the Gaussian process (GP) and linear dynamical systems (LDS). The researchers say that MRM-GP is essentially an LDS that mirrors a GP.\u003C\/p\u003E\u003Cp\u003ELDS is a computationally efficient and cost-effective method, but it lacks the power to produce representations of the brain. GP-based approaches boost LDS\u0027s power, facilitating the discovery of variables in frequency bands and communication directions in the brain.\u003C\/p\u003E\u003Cp\u003EConverting GP outputs into an LDS is a difficult task in ML. The group overcame this challenge by instilling separability in the model\u2019s multi-region kernel. Separability establishes a connection between the kernel and LDS while modeling communication between brain regions.\u003C\/p\u003E\u003Cp\u003EThrough this approach, MRM-GP overcomes two challenges facing both neuroscience and ML fields. The model helps solve the mystery of intraregional brain communication. It does so by bridging a gap between GP and LDS, a feat not previously accomplished in ML.\u003C\/p\u003E\u003Cp\u003E\u201cThe introduction of MRM-GP provides a useful tool to model and understand complex brain region communications,\u201d said Li, a Ph.D. student in the School of Computational Science and Engineering (CSE).\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cThis marks a significant advancement in both neuroscience and machine learning.\u201d\u003C\/p\u003E\u003Cp\u003EFellow doctoral students\u0026nbsp;\u003Ca href=\u0022https:\/\/github.com\/JerrySoybean\u0022\u003EChengrui Li\u003C\/a\u003E and\u0026nbsp;\u003Ca href=\u0022https:\/\/github.com\/yulewang97\u0022\u003EYule Wang\u003C\/a\u003E co-authored the paper with Li. School of CSE Assistant Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.google.com\/site\/anqiwuresearch\u0022\u003EAnqi Wu\u003C\/a\u003E advises the group.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EEach MRM-GP student pursues a different\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/phd-programs\u0022\u003EPh.D. degree offered by the School of CSE\u003C\/a\u003E. W. Li studies computer science, C. Li studies computational science and engineering, and Wang studies machine learning. The school also offers Ph.D. degrees in bioinformatics and bioengineering.\u003C\/p\u003E\u003Cp\u003EWu is a 2023 recipient of the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/anqi-wu-awarded-2023-sloan-research-fellowship\u0022\u003ESloan Research Fellowship\u003C\/a\u003E for neuroscience research. Her work straddles two of the\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/research\u0022\u003ESchool\u2019s five research areas\u003C\/a\u003E: machine learning and computational bioscience.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EMRM-GP will be featured at the world\u2019s top conference on ML and artificial intelligence. The group will share their work at the International Conference on Machine Learning (\u003Ca href=\u0022https:\/\/icml.cc\/\u0022\u003EICML 2024\u003C\/a\u003E), which will be held July 21-27 in Vienna.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EICML 2024 also accepted for presentation a second paper from Wu\u2019s group intersecting neuroscience and ML. The same authors will present\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2402.01263\u0022\u003E\u003Cem\u003EA Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing\u003C\/em\u003E\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003ETwenty-four Georgia Tech faculty from the Colleges of Computing and Engineering will present 40 papers at ICML 2024. Wu is one of six faculty representing the School of CSE who will present eight total papers.\u003C\/p\u003E\u003Cp\u003EThe group\u2019s ICML 2024 presentations exemplify Georgia Tech\u2019s focus on neuroscience research as a\u0026nbsp;\u003Ca href=\u0022https:\/\/research.gatech.edu\/strategic-initiatives\u0022\u003Estrategic initiative\u003C\/a\u003E. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EWu is an affiliated faculty member with the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.gatech.edu\/news\/2023\/09\/18\/georgia-tech-launch-interdisciplinary-neurosciences-research-program\u0022\u003ENeuro Next Initiative\u003C\/a\u003E, a new interdisciplinary program at Georgia Tech that will lead research in neuroscience, neurotechnology, and society. The University System of Georgia Board of Regents recently approved a new\u0026nbsp;\u003Ca href=\u0022https:\/\/news.gatech.edu\/news\/2024\/05\/02\/georgia-tech-offer-phd-neuroscience-and-neurotechnology-new-minor\u0022\u003Eneuroscience and neurotechnology Ph.D. program\u003C\/a\u003E at Georgia Tech.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cPresenting papers at international conferences like ICML is crucial for our group to gain recognition and visibility, facilitates networking with other researchers and industry professionals, and offers valuable feedback for improving our work,\u201d Wu said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cIt allows us to share our findings, stay updated on the latest developments in the field, and enhance our professional development and public speaking skills.\u201d\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EVisit \u003C\/em\u003E\u003Ca href=\u0022https:\/\/sites.gatech.edu\/research\/icml-2024\/\u0022\u003E\u003Cem\u003Ehttps:\/\/sites.gatech.edu\/research\/icml-2024\u003C\/em\u003E\u003C\/a\u003E\u003Cem\u003E for news and coverage of Georgia Tech research presented at ICML 2024.\u003C\/em\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EA new machine learning (ML) model created at Georgia Tech is helping neuroscientists better understand communications between brain regions. Insights from the model could lead to personalized medicine, better brain-computer interfaces, and advances in neurotechnology.\u003C\/p\u003E\u003Cp\u003EThe Georgia Tech group combined two current ML methods into their hybrid model called MRM-GP (Multi-Region Markovian Gaussian Process).\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ENeuroscientists who use MRM-GP learn more about communications and interactions within the brain. This in turn improves understanding of brain functions and disorders.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"A new machine learning (ML) model created at Georgia Tech is helping neuroscientists better understand communications between brain regions. "}],"uid":"36319","created_gmt":"2024-07-11 19:37:12","changed_gmt":"2024-07-12 15:25:01","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-07-11T00:00:00-04:00","iso_date":"2024-07-11T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"674337":{"id":"674337","type":"image","title":"MRM-GP Head Photo.jpg","body":null,"created":"1720726656","gmt_created":"2024-07-11 19:37:36","changed":"1720726656","gmt_changed":"2024-07-11 19:37:36","alt":"Weihan Li ICML 2024","file":{"fid":"257837","name":"MRM-GP Head Photo.jpg","image_path":"\/sites\/default\/files\/2024\/07\/11\/MRM-GP%20Head%20Photo.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/07\/11\/MRM-GP%20Head%20Photo.jpg","mime":"image\/jpeg","size":92978,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/07\/11\/MRM-GP%20Head%20Photo.jpg?itok=CyGJUal2"}},"674338":{"id":"674338","type":"image","title":"YW Poster.jpg","body":null,"created":"1720726696","gmt_created":"2024-07-11 19:38:16","changed":"1720726696","gmt_changed":"2024-07-11 19:38:16","alt":"Yule Wang ICML 2024 CSE","file":{"fid":"257838","name":"YW Poster.jpg","image_path":"\/sites\/default\/files\/2024\/07\/11\/YW%20Poster.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/07\/11\/YW%20Poster.jpg","mime":"image\/jpeg","size":37723,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/07\/11\/YW%20Poster.jpg?itok=nnjhmwZN"}},"674339":{"id":"674339","type":"image","title":"CSE_ICML2024.png","body":null,"created":"1720726742","gmt_created":"2024-07-11 19:39:02","changed":"1720726742","gmt_changed":"2024-07-11 19:39:02","alt":"CSE ICML 2024","file":{"fid":"257839","name":"CSE_ICML2024.png","image_path":"\/sites\/default\/files\/2024\/07\/11\/CSE_ICML2024.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/07\/11\/CSE_ICML2024.png","mime":"image\/png","size":173722,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/07\/11\/CSE_ICML2024.png?itok=uiGRsZ3_"}}},"media_ids":["674337","674338","674339"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"},{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"192863","name":"go-ai"},{"id":"10199","name":"Daily Digest"},{"id":"9153","name":"Research Horizons"},{"id":"172970","name":"go-neuro"},{"id":"187915","name":"go-researchnews"}],"core_research_areas":[{"id":"193656","name":"Neuro Next Initiative"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"675439":{"#nid":"675439","#data":{"type":"news","title":"New Machine Learning Method Lets Scientists Use Generative AI to Design Custom Molecules and Other Complex Structures","body":[{"value":"\u003Cp\u003ENew research from Georgia Tech is giving scientists more control options over generative artificial intelligence (AI) models in their studies. Greater customization from this research can lead to discovery of new drugs, materials, and other applications tailor-made for consumers.\u003C\/p\u003E\u003Cp\u003EThe Tech group dubbed its method PRODIGY (PROjected DIffusion for controlled Graph Generation). PRODIGY enables diffusion models to generate 3D images of complex structures, such as molecules from chemical formulas.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EScientists in pharmacology, materials science, social network analysis, and other fields can use PRODIGY to simulate large-scale networks. By generating 3D molecules from multiple graph datasets, the group proved that PRODIGY could handle complex structures.\u003C\/p\u003E\u003Cp\u003EIn keeping with its name, PRODIGY is the first plug-and-play machine learning (ML) approach to controllable graph generation in diffusion models. This method overcomes a known limitation inhibiting diffusion models from broad use in science and engineering.\u003C\/p\u003E\u003Cp\u003E\u201cWe hope PRODIGY enables drug designers and scientists to generate structures that meet their precise needs,\u201d said\u0026nbsp;\u003Ca href=\u0022https:\/\/ksartik.github.io\/\u0022\u003EKartik Sharma\u003C\/a\u003E, lead researcher on\u0026nbsp;\u003Ca href=\u0022https:\/\/prodigy-diffusion.github.io\/\u0022\u003Ethe project\u003C\/a\u003E. \u201cIt should also inspire future innovations to precisely control modern generative models across domains.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EPRODIGY works on diffusion models, a generative AI model for computer vision tasks. While suitable for image creation and denoising, diffusion methods are limited because they cannot accurately generate graph representations of custom parameters a user provides.\u003C\/p\u003E\u003Cp\u003EPRODIGY empowers any pre-trained diffusion model for graph generation to produce graphs that meet specific, user-given constraints. This capability means, as an example, that a drug designer could use any diffusion model to design a molecule with a specific number of atoms and bonds.\u003C\/p\u003E\u003Cp\u003EThe group tested PRODIGY on two molecular and five generic datasets to generate custom 2D and 3D structures. This approach ensured the method could create such complex structures, accounting for the atoms, bonds, structures, and other properties at play in molecules.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EMolecular generation experiments with PRODIGY directly impact chemistry, biology, pharmacology, materials science, and other fields. The researchers say PRODIGY has potential in other fields using large networks and datasets, such as social sciences and telecommunications.\u003C\/p\u003E\u003Cp\u003EThese features led to PRODIGY\u2019s acceptance for presentation at the upcoming International Conference on Machine Learning (\u003Ca href=\u0022https:\/\/icml.cc\/\u0022\u003EICML 2024\u003C\/a\u003E). ICML 2024 is the leading international academic conference on ML. The conference is taking place July 21-27 in Vienna.\u003C\/p\u003E\u003Cp\u003EAssistant Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~skumar498\/\u0022\u003ESrijan Kumar\u003C\/a\u003E is Sharma\u2019s advisor and paper co-author. They worked with Tech alumnus\u0026nbsp;\u003Ca href=\u0022https:\/\/www.rtrivedi.me\/\u0022\u003ERakshit Trivedi\u003C\/a\u003E (Ph.D. CS 2020), a Massachusetts Institute of Technology postdoctoral associate.\u003C\/p\u003E\u003Cp\u003ETwenty-four Georgia Tech faculty from the Colleges of Computing and Engineering will present 40 papers at ICML 2024. Kumar is one of six faculty representing the School of Computational Science and Engineering (CSE) at the conference.\u003C\/p\u003E\u003Cp\u003ESharma is a fourth-year Ph.D. student studying computer science. He researches ML models for structured data that are reliable and easily controlled by users. While preparing for ICML, Sharma has been interning this summer at Microsoft Research in the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.microsoft.com\/en-us\/research\/group\/research-for-industry\/overview\/\u0022\u003EResearch for Industry\u003C\/a\u003E lab.\u003C\/p\u003E\u003Cp\u003E\u201cICML is the pioneering conference for machine learning,\u201d said Kumar. \u201cA strong presence at ICML from Georgia Tech illustrates the ground-breaking research conducted by our students and faculty, including those in my research group.\u201d\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EVisit \u003C\/em\u003E\u003Ca href=\u0022https:\/\/sites.gatech.edu\/research\/icml-2024\/\u0022\u003E\u003Cem\u003Ehttps:\/\/sites.gatech.edu\/research\/icml-2024\u003C\/em\u003E\u003C\/a\u003E\u003Cem\u003E for news and coverage of Georgia Tech research presented at ICML 2024.\u003C\/em\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ENew research from Georgia Tech is giving scientists more control options over generative artificial intelligence (AI) models in their studies. Greater customization from this research can lead to discovery of new drugs, materials, and other applications tailor-made for consumers.\u003C\/p\u003E\u003Cp\u003EThe Tech group dubbed its method PRODIGY (PROjected DIffusion for controlled Graph Generation). PRODIGY enables diffusion models to generate 3D images of complex structures, such as molecules from chemical formulas.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EScientists in pharmacology, materials science, social network analysis, and other fields can use PRODIGY to simulate large-scale networks. By generating 3D molecules from multiple graph datasets, the group proved that PRODIGY could handle complex structures.\u003C\/p\u003E\u003Cp\u003EIn keeping with its name, PRODIGY is the first plug-and-play machine learning (ML) approach to controllable graph generation in diffusion models. This method overcomes a known limitation inhibiting diffusion models from broad use in science and engineering.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"New research from Georgia Tech is giving scientists more control options over generative artificial intelligence (AI) models in their studies. "}],"uid":"36319","created_gmt":"2024-07-11 19:47:30","changed_gmt":"2024-07-12 15:23:57","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-07-11T00:00:00-04:00","iso_date":"2024-07-11T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"674340":{"id":"674340","type":"image","title":"PRODIGY Group.jpg","body":null,"created":"1720727268","gmt_created":"2024-07-11 19:47:48","changed":"1720727268","gmt_changed":"2024-07-11 19:47:48","alt":"CSE PRODIGY Group ICML 2024","file":{"fid":"257840","name":"PRODIGY Group.jpg","image_path":"\/sites\/default\/files\/2024\/07\/11\/PRODIGY%20Group.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/07\/11\/PRODIGY%20Group.jpg","mime":"image\/jpeg","size":125493,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/07\/11\/PRODIGY%20Group.jpg?itok=HEzSu3DE"}},"674339":{"id":"674339","type":"image","title":"CSE_ICML2024.png","body":null,"created":"1720726742","gmt_created":"2024-07-11 19:39:02","changed":"1720726742","gmt_changed":"2024-07-11 19:39:02","alt":"CSE ICML 2024","file":{"fid":"257839","name":"CSE_ICML2024.png","image_path":"\/sites\/default\/files\/2024\/07\/11\/CSE_ICML2024.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/07\/11\/CSE_ICML2024.png","mime":"image\/png","size":173722,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/07\/11\/CSE_ICML2024.png?itok=uiGRsZ3_"}},"674341":{"id":"674341","type":"image","title":"PRODIGY Graphic.png","body":null,"created":"1720727329","gmt_created":"2024-07-11 19:48:49","changed":"1720727329","gmt_changed":"2024-07-11 19:48:49","alt":"CSE PRODIGY Group ICML 2024","file":{"fid":"257841","name":"PRODIGY Graphic.png","image_path":"\/sites\/default\/files\/2024\/07\/11\/PRODIGY%20Graphic.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/07\/11\/PRODIGY%20Graphic.png","mime":"image\/png","size":88305,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/07\/11\/PRODIGY%20Graphic.png?itok=6_Lte6y4"}}},"media_ids":["674340","674339","674341"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"130","name":"Alumni"},{"id":"141","name":"Chemistry and Chemical Engineering"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"},{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"192863","name":"go-ai"},{"id":"10199","name":"Daily Digest"},{"id":"9153","name":"Research Horizons"},{"id":"187915","name":"go-researchnews"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"675269":{"#nid":"675269","#data":{"type":"news","title":"International Conference Meets to Make Math Easier for Computer Models","body":[{"value":"\u003Cp\u003EFrom weather prediction to drug discovery, math powers the models used in computer simulations. To help these vital tools with their calculations, global experts recently met at Georgia Tech to share ways to make math easier for computers.\u003C\/p\u003E\u003Cp\u003ETech hosted the 2024 International Conference on Preconditioning Techniques for Scientific and Industrial Applications (\u003Ca href=\u0022https:\/\/www.math.emory.edu\/~yxi26\/Precond24\/index.html\u0022\u003E\u003Cstrong\u003EPrecond 24\u003C\/strong\u003E\u003C\/a\u003E), June 10-12.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EPreconditioning accelerates matrix computations, a kind of math used in most large-scale models. These computer models become faster, more efficient, and more accessible with help from preconditioned equations.\u003C\/p\u003E\u003Cp\u003E\u201cPreconditioning transforms complex numerical problems into more easily solved ones,\u201d said\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~echow\/\u0022\u003E\u003Cstrong\u003EEdmond Chow\u003C\/strong\u003E\u003C\/a\u003E, a professor at Georgia Tech and co-chair of Precond 24\u2019s local organization and program committees.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cThe new problem wields a better condition number, giving rise to the name preconditioning.\u201d\u003C\/p\u003E\u003Cp\u003EResearchers from 13 countries presented their work through 20 mini-symposia and seven invited talks at Precond 24. Their work showcased the practicality of preconditioners.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/scholar.google.nl\/citations?user=yxEPFl4AAAAJ\u0026amp;hl=en\u0022\u003E\u003Cstrong\u003EVandana Dwarka\u003C\/strong\u003E\u003C\/a\u003E, an assistant professor at Delft University of Technology, shared newly developed preconditioners for electromagnetic simulations. This technology can be used in further applications ranging from imaging to designing nuclear fusion devices.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/math.tufts.edu\/people\/faculty\/xiaozhe-hu\u0022\u003E\u003Cstrong\u003EXiaozhe Hu\u003C\/strong\u003E\u003C\/a\u003E presented a physics-based preconditioner that simulates biophysical processes in the brain, such as blood flow and metabolic waste clearance. Hu brought this research from Tufts University, where he is an associate professor.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/people.llnl.gov\/hartland1\u0022\u003E\u003Cstrong\u003ETucker Hartland\u003C\/strong\u003E\u003C\/a\u003E, a postdoctoral researcher at Lawrence Livermore National Laboratory, discussed preconditioning in contact mechanics. This work improves the modeling of interactions between physical objects that touch each other. Many fields stand to benefit from Hartland\u2019s study, including mechanical engineering, civil engineering, and materials science.\u003C\/p\u003E\u003Cp\u003EA unique aspect of this year\u2019s conference was an emphasis on machine learning (ML). Between a panel discussion, tutorial, and several talks, experts detailed how to employ ML for preconditioning and how preconditioning can train ML models.\u003C\/p\u003E\u003Cp\u003EPrecond 24 invited seven speakers from institutions around the world to share their research with conference attendees. The presenters were:\u0026nbsp;\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/mdessole.github.io\/\u0022\u003E\u003Cstrong\u003EMonica Dessole\u003C\/strong\u003E\u003C\/a\u003E, CERN, Switzerland\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/selimegurol.com\/\u0022\u003E\u003Cstrong\u003ESelime Gurol,\u003C\/strong\u003E\u003C\/a\u003E CERFACS, France\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/searhein.github.io\/\u0022\u003E\u003Cstrong\u003EAlexander Heinlein\u003C\/strong\u003E\u003C\/a\u003E, Delft University of Technology, Netherlands\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/people.llnl.gov\/li50\u0022\u003E\u003Cstrong\u003ERui Peng Li\u003C\/strong\u003E\u003C\/a\u003E, Lawrence Livermore National Laboratory, USA\u0026nbsp;\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/pazner.github.io\/\u0022\u003E\u003Cstrong\u003EWill Pazner\u003C\/strong\u003E\u003C\/a\u003E, Portland State University, USA\u0026nbsp;\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.numerical.rl.ac.uk\/people\/tyrone-rees\/\u0022\u003E\u003Cstrong\u003ETyrone Rees\u003C\/strong\u003E\u003C\/a\u003E, Science and Technology Facilities Council, UK\u003C\/li\u003E\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.unm.edu\/~jbschroder\/\u0022\u003E\u003Cstrong\u003EJacob B. Schroder\u003C\/strong\u003E\u003C\/a\u003E, University of New Mexico, USA\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EAlong with hosting Precond 24, several Georgia Tech researchers participated in the conference through presentations.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EPh.D. students\u0026nbsp;\u003Ca href=\u0022https:\/\/huanghua1994.github.io\/\u0022\u003E\u003Cstrong\u003EHua Huang\u003C\/strong\u003E\u003C\/a\u003E and\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/shikhar-shah\u0022\u003E\u003Cstrong\u003EShikhar Shah\u003C\/strong\u003E\u003C\/a\u003E each presented a paper on the conference\u2019s first day. Alumnus \u003Ca href=\u0022https:\/\/www.anl.gov\/profile\/srinivas-eswar\u0022\u003E\u003Cstrong\u003ESrinivas Eswar\u003C\/strong\u003E\u003C\/a\u003E (Ph.D. CS 2022) returned to Atlanta to share research from his current role at Argonne National Laboratory. Chow chaired the ML panel and a symposium on preconditioners for matrices.\u003C\/p\u003E\u003Cp\u003E\u201cIt was an engaging and rewarding experience meeting so many people from this very tight-knit community,\u201d said Shah, who studies computational science and engineering (CSE). \u201cGetting to see talks close to my research provided me with a lot of inspiration and direction for future work.\u201d\u003C\/p\u003E\u003Cp\u003EPrecond 2024 was the thirteenth meeting of the conference, which occurs every two years.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe conference returned to Atlanta this year for the first time since 2005. Atlanta joins Minneapolis as one of only two cities in the world to host Precond more than once. Precond 24 marked the sixth time the conference met in the U.S.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EGeorgia Tech and Emory University\u2019s Department of Mathematics organized and sponsored Precond 24. The U.S. Department of Energy Office of Science co-sponsored the conference with Tech and Emory.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EGeorgia Tech entities swarmed together in support of Precond 24. The Office of the Associate Vice President for Research Operations and Infrastructure, College of Computing, and School of CSE co-sponsored the conference.\u003C\/p\u003E\u003Cp\u003E\u201cThe enthusiasm at the conference has been very gratifying. So many people organized sessions at the conference and contributed to the very strong attendance,\u201d Chow said.\u0026nbsp;\u003Cbr\u003E\u003Cbr\u003E\u201cThis is a testament to the continued importance of preconditioning and related numerical methods in a rapidly changing technological world.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EFrom weather prediction to drug discovery, math powers the models used in computer simulations. To help these vital tools with their calculations, global experts recently met at Georgia Tech to share ways to make math easier for computers.\u003C\/p\u003E\u003Cp\u003ETech hosted the 2024 International Conference on Preconditioning Techniques for Scientific and Industrial Applications (\u003Ca href=\u0022https:\/\/www.math.emory.edu\/~yxi26\/Precond24\/index.html\u0022\u003E\u003Cstrong\u003EPrecond 24\u003C\/strong\u003E\u003C\/a\u003E), June 10-12.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EPreconditioning accelerates matrix computations, a kind of math used in most large-scale models. These computer models become faster, more efficient, and more accessible with help from preconditioned equations.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech hosted the 2024 International Conference on Preconditioning Techniques for Scientific and Industrial Applications (Precond 24), June 10-12. "}],"uid":"36319","created_gmt":"2024-06-28 14:46:30","changed_gmt":"2024-06-28 14:59:47","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-06-20T00:00:00-04:00","iso_date":"2024-06-20T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"674265":{"id":"674265","type":"image","title":"Preconditioning 2024 850x478.jpg","body":null,"created":"1719586158","gmt_created":"2024-06-28 14:49:18","changed":"1719586158","gmt_changed":"2024-06-28 14:49:18","alt":"Preconditioning 2024","file":{"fid":"257760","name":"Preconditioning 2024 850x478.jpg","image_path":"\/sites\/default\/files\/2024\/06\/28\/Preconditioning%202024%20850x478.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/06\/28\/Preconditioning%202024%20850x478.jpg","mime":"image\/jpeg","size":103949,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/06\/28\/Preconditioning%202024%20850x478.jpg?itok=t3hTTfaI"}},"674266":{"id":"674266","type":"image","title":"Country graphic.png","body":null,"created":"1719586199","gmt_created":"2024-06-28 14:49:59","changed":"1719586199","gmt_changed":"2024-06-28 14:49:59","alt":"Preconditioning 2024","file":{"fid":"257761","name":"Country graphic.png","image_path":"\/sites\/default\/files\/2024\/06\/28\/Country%20graphic.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/06\/28\/Country%20graphic.png","mime":"image\/png","size":69686,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/06\/28\/Country%20graphic.png?itok=DyDEwJ6K"}},"674267":{"id":"674267","type":"image","title":"Shikhar Shah.jpg","body":null,"created":"1719586232","gmt_created":"2024-06-28 14:50:32","changed":"1719586232","gmt_changed":"2024-06-28 14:50:32","alt":"Preconditioning 2024","file":{"fid":"257762","name":"Shikhar Shah.jpg","image_path":"\/sites\/default\/files\/2024\/06\/28\/Shikhar%20Shah.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/06\/28\/Shikhar%20Shah.jpg","mime":"image\/jpeg","size":37809,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/06\/28\/Shikhar%20Shah.jpg?itok=w-KBfh8H"}},"674268":{"id":"674268","type":"image","title":"16x9.jpg","body":null,"created":"1719586270","gmt_created":"2024-06-28 14:51:10","changed":"1719586270","gmt_changed":"2024-06-28 14:51:10","alt":"Preconditioning 2024","file":{"fid":"257763","name":"16x9.jpg","image_path":"\/sites\/default\/files\/2024\/06\/28\/16x9.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/06\/28\/16x9.jpg","mime":"image\/jpeg","size":164146,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/06\/28\/16x9.jpg?itok=y2ZQcP_v"}}},"media_ids":["674265","674266","674267","674268"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"47223","name":"College of Computing"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"132","name":"Institute Leadership"},{"id":"135","name":"Research"}],"keywords":[{"id":"187915","name":"go-researchnews"},{"id":"10199","name":"Daily Digest"},{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"76231","name":"Computational Science and Engineering"},{"id":"2556","name":"artificial intelligence"},{"id":"9167","name":"machine learning"},{"id":"192863","name":"go-ai"},{"id":"9153","name":"Research Horizons"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003Ebryant.wine@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"671661":{"#nid":"671661","#data":{"type":"news","title":"Machine Learning Could be Key to Early Leakage Detection in Underground Carbon Storage Sites","body":[{"value":"\u003Cp\u003EA new machine learning method could help engineers detect leaks in underground reservoirs earlier, mitigating risks associated with geological carbon storage (GCS). Further study could advance machine learning capabilities while improving safety and efficiency of GCS.\u003C\/p\u003E\u003Cp\u003EThe feasibility study by Georgia Tech researchers explores using conditional normalizing flows (CNFs) to convert seismic data points into usable information and observable images. This potential ability could make monitoring underground storage sites more practical and studying the behavior of carbon dioxide plumes easier.\u003C\/p\u003E\u003Cp\u003EThe 2023 Conference on Neural Information Processing Systems (NeurIPS 2023) accepted the group\u2019s paper for presentation. They presented their study on Dec. 16 at the conference\u2019s workshop on\u0026nbsp;\u003Cem\u003ETackling Climate Change with Machine Learning\u003C\/em\u003E.\u003C\/p\u003E\u003Cp\u003E\u201cOne area where our group excels is that we care about realism in our simulations,\u201d said Professor\u0026nbsp;\u003Cstrong\u003EFelix Herrmann\u003C\/strong\u003E. \u201cWe worked on a real-sized setting with the complexities one would experience when working in real-life scenarios to understand the dynamics of carbon dioxide plumes.\u201d\u003C\/p\u003E\u003Cp\u003ECNFs are generative models that use data to produce images.\u0026nbsp;They\u0026nbsp;can\u0026nbsp;also fill in the blanks by\u0026nbsp;making\u0026nbsp;predictions to complete\u0026nbsp;an\u0026nbsp;image\u0026nbsp;despite\u0026nbsp;missing or noisy data. This functionality is ideal for this application because data streaming from GCS reservoirs are often noisy, meaning it\u2019s incomplete, outdated, or unstructured data.\u003C\/p\u003E\u003Cp\u003EThe group found\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2311.00290.pdf\u0022\u003Ein 36 test samples\u003C\/a\u003E\u0026nbsp;that CNFs could infer scenarios with and without leakage using seismic data. In simulations with leakage, the models generated images that were 96% similar to ground truths. CNFs further supported this by producing images 97% comparable to ground truths in cases with no leakage.\u003C\/p\u003E\u003Cp\u003EThis CNF-based method also improves current techniques that struggle to provide accurate information on the spatial extent of leakage. Conditioning CNFs to samples that change over time allows it to describe and predict the behavior of carbon dioxide plumes.\u003C\/p\u003E\u003Cp\u003EThis study is part of the group\u2019s broader effort to produce\u0026nbsp;\u003Ca href=\u0022https:\/\/slim.gatech.edu\/Publications\/Public\/Journals\/TheLeadingEdge\/2023\/herrmann2023dte\/PresidentsPage.pdf\u0022\u003Edigital twins for seismic monitoring of underground storage\u003C\/a\u003E. A digital twin is a virtual model of a physical object. Digital twins are commonplace in manufacturing, healthcare, environmental monitoring, and other industries.\u0026nbsp; \u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cThere are very few digital twins in earth sciences, especially based on machine learning,\u201d Herrmann explained. \u201cThis paper is just a prelude to building an uncertainty aware digital twin for geological carbon storage.\u201d\u003C\/p\u003E\u003Cp\u003EHerrmann holds joint appointments in the Schools of Earth and Atmospheric Sciences (EAS), Electrical and Computer Engineering, and Computational Science and Engineering (CSE).\u003C\/p\u003E\u003Cp\u003ESchool of EAS Ph.D. student\u0026nbsp;\u003Cstrong\u003EAbhinov Prakash Gahlot\u003C\/strong\u003E\u0026nbsp;is the paper\u2019s first author.\u0026nbsp;\u003Cstrong\u003ETing-Ying (Rosen) Yu\u003C\/strong\u003E\u0026nbsp;(B.S. ECE 2023) started the research as an undergraduate group member. School of CSE Ph.D. students\u0026nbsp;\u003Cstrong\u003EHuseyin Tuna Erdinc\u003C\/strong\u003E,\u0026nbsp;\u003Cstrong\u003ERafael Orozco\u003C\/strong\u003E, and\u0026nbsp;\u003Cstrong\u003EZiyi (Francis) Yin\u0026nbsp;\u003C\/strong\u003Eco-authored with Gahlot and Herrmann.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/nips.cc\/\u0022\u003ENeurIPS 2023\u003C\/a\u003E\u0026nbsp;took place Dec. 10-16 in New Orleans. Occurring annually, it is one of the largest conferences in the world dedicated to machine learning.\u003C\/p\u003E\u003Cp\u003EOver 130 Georgia Tech researchers presented more than 60 papers and posters at NeurIPS 2023. One-third of CSE\u2019s faculty represented the School at the conference. Along with Herrmann, these faculty included\u0026nbsp;\u003Cstrong\u003E\u00dcmit \u00c7ataly\u00fcrek,\u0026nbsp;Polo Chau\u003C\/strong\u003E,\u0026nbsp;\u003Cstrong\u003EBo Dai\u003C\/strong\u003E,\u0026nbsp;\u003Cstrong\u003ESrijan Kumar\u003C\/strong\u003E,\u0026nbsp;\u003Cstrong\u003EYunan Luo\u003C\/strong\u003E,\u0026nbsp;\u003Cstrong\u003EAnqi Wu\u003C\/strong\u003E, and\u0026nbsp;\u003Cstrong\u003EChao Zhang\u003C\/strong\u003E.\u003C\/p\u003E\u003Cp\u003E\u201cIn the field of geophysics, inverse problems and statistical solutions of these problems are known, but no one has been able to characterize these statistics in a realistic way,\u201d Herrmann said.\u003C\/p\u003E\u003Cp\u003E\u201cThat\u2019s where these machine learning techniques come into play, and we can do things now that you could never do before.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EA new machine learning method could help engineers detect leaks in underground reservoirs earlier, mitigating risks associated with geological carbon storage (GCS). Further study could advance machine learning capabilities while improving safety and efficiency of GCS.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe feasibility study by Georgia Tech researchers explores using conditional normalizing flows (CNFs) to convert seismic data points into usable information and observable images. This potential ability could make monitoring underground storage sites more practical and studying the behavior of carbon dioxide plumes easier.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The feasibility study by Georgia Tech researchers explores using conditional normalizing flows (CNFs) to convert seismic data points into usable information and observable images. This potential ability could make monitoring underground storage sites more"}],"uid":"36319","created_gmt":"2023-12-20 16:07:58","changed_gmt":"2024-06-04 01:24:46","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-12-20T00:00:00-05:00","iso_date":"2023-12-20T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"672627":{"id":"672627","type":"image","title":"SLIM Group CNF.jpeg","body":null,"created":"1703088499","gmt_created":"2023-12-20 16:08:19","changed":"1703088499","gmt_changed":"2023-12-20 16:08:19","alt":"SLIM Group CNF","file":{"fid":"255902","name":"SLIM Group CNF.jpeg","image_path":"\/sites\/default\/files\/2023\/12\/20\/SLIM%20Group%20CNF.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/12\/20\/SLIM%20Group%20CNF.jpeg","mime":"image\/jpeg","size":99700,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/12\/20\/SLIM%20Group%20CNF.jpeg?itok=jd6Jxwt5"}}},"media_ids":["672627"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"187915","name":"go-researchnews"},{"id":"10199","name":"Daily Digest"},{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"76231","name":"Computational Science and Engineering"},{"id":"2556","name":"artificial intelligence"},{"id":"9167","name":"machine learning"},{"id":"4896","name":"College of Sciences"},{"id":"166926","name":"School of Earth and Atmospheric Sciences"},{"id":"594","name":"college of engineering"},{"id":"107031","name":"College of Engineering; School of Electrical and Computer Engineering"},{"id":"192863","name":"go-ai"},{"id":"9153","name":"Research Horizons"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39531","name":"Energy and Sustainable Infrastructure"}],"news_room_topics":[{"id":"71911","name":"Earth and Environment"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003Ebryant.wine@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"670041":{"#nid":"670041","#data":{"type":"news","title":"Machine Learning Key to Proposed App that Could Help Flood-prone Communities","body":[{"value":"\u003Cp\u003EA scientific machine learning (ML) expert at Georgia Tech is lending a hand in developing an app to identify and help Florida communities most at risk of flooding.\u003C\/p\u003E\u003Cp\u003ESchool of Computational Science and Engineering (CSE) Assistant Professor\u0026nbsp;\u003Cstrong\u003EPeng Chen\u003C\/strong\u003E\u0026nbsp;is co-principal investigator of a $1.5 million National Science Foundation grant to develop the CRIS-HAZARD system.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.stpetersburg.usf.edu\/news\/2023\/nsf-grant-cris-climate-risk-app.aspx\u0022\u003ECRIS-HAZARD\u003C\/a\u003E\u2018s strength derives from integrating geographic information and data mined from community input, like traffic camera videos and social media posts. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThis ability helps policymakers identify areas most vulnerable to flooding and address community needs. The app also predicts and assesses flooding in real time to connect victims with first responders and emergency managers.\u003C\/p\u003E\u003Cp\u003E\u201cSuccessfully deploying CRIS-HAZARD will harness community knowledge through direct and indirect engagement efforts to inform decision-making,\u201d Chen said. \u201cIt will connect individuals to policymakers and serve as a roadmap at helping the most vulnerable communities.\u201d\u003C\/p\u003E\u003Cp\u003EChen\u2019s role in CRIS-HAZARD will be to develop new ML models for the app\u2019s prediction capability. These assimilation models integrate the mined data with predictions from current hydrodynamic models.\u003C\/p\u003E\u003Cp\u003EAlong with making an immediate impact in flood-prone coastal communities, Chen said these models could have broader applications in the future. These include models for improved hurricane prediction and management of water resources.\u003C\/p\u003E\u003Cp\u003EThe models Chen will build for CRIS-HAZARD derive from past applications aimed at helping communities.\u003C\/p\u003E\u003Cp\u003EChen has crafted similar models for monitoring and mitigating disease spread, including Covid-19. He has also worked on materials science projects to accelerate the design of metamaterials and self-assembly materials.\u003C\/p\u003E\u003Cp\u003E\u201cScientific machine learning is very broad concept and can be applied to many different fields,\u201d Chen said. \u201cOur group looks at how to accelerate optimization, account for risk, and quantify uncertainty in these applications.\u201d\u003C\/p\u003E\u003Cp\u003EUncertainty in CRIS-HAZARD is what brings Chen to the project, headed by University of South Florida researchers. While the app\u2019s novelty lies in its use of heterogenous data, inferring predictions can be challenging since the data comes from different sources in varying formats.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ETo overcome this, Chen intends to build new data assimilation models from scratch powered by deep neural networks (DNNs).\u003C\/p\u003E\u003Cp\u003EAlong with their ability to find connections between heterogeneous data, DNNs are scalable and inexpensive. This beats the alternative of using supercomputers to make the same calculations.\u003C\/p\u003E\u003Cp\u003EDNNs are also fast and can significantly reduce computational time. According to Chen, the efficiency of DNNs can achieve acceleration hundreds of thousands of times greater than classical models.\u003C\/p\u003E\u003Cp\u003ELow cost and time make it possible to run DNN-based simulations multiple times. This improves reliability in prediction results in real-time once the DNNs are properly trained.\u003C\/p\u003E\u003Cp\u003E\u201cThe data may not be consistent or compatible since there are different models we\u2019re trying to integrate, making prediction uncertain,\u201d Chen said. \u201cWe can run these ML models many times to quantify the uncertainty and give a probability distribution or a range of predictions.\u201d\u003C\/p\u003E\u003Cp\u003ECRIS-HAZARD also exemplifies the power of collaboration across disciplines and universities. In this case, machine learning techniques reach across state boundaries to help people that are vulnerable to flooding or other natural disasters.\u003C\/p\u003E\u003Cp\u003EUSF Professor\u0026nbsp;\u003Cstrong\u003EBarnali Dixon\u003C\/strong\u003E\u0026nbsp;leads the project with Associate Professor\u0026nbsp;\u003Cstrong\u003EYi Qiang\u003C\/strong\u003E\u2014 both geocomputation researchers in the School of Geosciences, incorporating data science and artificial intelligence.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESubhro Guhathakurta\u003C\/strong\u003E\u0026nbsp;collaborates with Chen from Georgia Tech. Along with being a professor in the School of City \u0026amp; Regional Planning, Guhathkurta is director of Tech\u2019s Master of Science in Urban Analytics program and the Center for Spatial Planning and Analytics and Visualization.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EA scientific machine learning (ML) expert at Georgia Tech is lending a hand in developing an app to identify and help Florida communities most at risk of flooding.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Computational Science and Engineering (CSE) Assistant Professor\u0026nbsp;\u003Cstrong\u003EPeng Chen\u003C\/strong\u003E\u0026nbsp;is co-principal investigator of a $1.5 million National Science Foundation grant to develop the CRIS-HAZARD system.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.stpetersburg.usf.edu\/news\/2023\/nsf-grant-cris-climate-risk-app.aspx\u0022\u003ECRIS-HAZARD\u003C\/a\u003E\u2018s strength derives from integrating geographic information and data mined from community input, like traffic camera videos and social media posts. \u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis ability helps policymakers identify areas most vulnerable to flooding and address community needs. The app also predicts and assesses flooding in real time to connect victims with first responders and emergency managers.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"School of Computational Science and Engineering (CSE) Assistant Professor Peng Chen is co-principal investigator of a $1.5 million National Science Foundation grant to develop the CRIS-HAZARD system."}],"uid":"36319","created_gmt":"2023-09-29 15:47:40","changed_gmt":"2024-06-04 01:23:59","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-09-28T00:00:00-04:00","iso_date":"2023-09-28T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/machine-learning-key-proposed-app-could-help-flood-prone-communities","title":""}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"142","name":"City Planning, Transportation, and Urban Growth"},{"id":"135","name":"Research"},{"id":"134","name":"Student and Faculty"}],"keywords":[{"id":"76231","name":"Computational Science and Engineering"},{"id":"187915","name":"go-researchnews"},{"id":"10199","name":"Daily Digest"},{"id":"168831","name":"College of Design"},{"id":"167159","name":"school of city and regional planning"},{"id":"192863","name":"go-ai"},{"id":"9153","name":"Research Horizons"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[{"id":"71911","name":"Earth and Environment"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003Ebryant.wine@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"674237":{"#nid":"674237","#data":{"type":"news","title":"Researchers Blazing New Trails with Superchip Named After Computing Pioneer","body":[{"value":"\u003Cp\u003EComputing research at Georgia Tech is getting faster thanks to a new state-of-the-art processing chip named after a female computer programming pioneer.\u003C\/p\u003E\u003Cp\u003ETech is one of the first research universities in the country to receive the GH200 Grace Hopper Superchip from NVIDIA for testing, study, and research.\u003C\/p\u003E\u003Cp\u003EDesigned for large-scale artificial intelligence (AI) and high-performance computing applications, the GH200 is intended for large language model (LLM) training, recommender systems, graph neural networks, and other tasks.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAlexey Tumanov and Tushar Krishna procured Georgia Tech\u2019s first pair of\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nvidia.com\/en-us\/data-center\/grace-hopper-superchip\/\u0022\u003EGrace Hopper chips\u003C\/a\u003E. Spencer Bryngelson attained four more GH200s, which will arrive later this month.\u003C\/p\u003E\u003Cp\u003E\u201cWe are excited about this new design that puts everything onto one chip and accessible to both processors,\u201d said Will Powell, a College of Computing research technologist.\u003C\/p\u003E\u003Cp\u003E\u201cThe Superchip\u2019s design increases computation efficiency where data doesn\u2019t have to move as much and all the memory is on the chip.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EA key feature of the new processing chip is that the central processing unit (CPU) and graphics processing unit (GPU) are on the same board.\u003C\/p\u003E\u003Cp\u003ENVIDIA\u2019s NVLink Chip-2-Chip (C2C) interconnect joins the two units together. C2C delivers up to 900 gigabytes per second of total bandwidth, seven times faster than PCIe Gen5 connections used in newer accelerated systems. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAs a result, the two components share memory and process data with more speed and better power efficiency. This feature is one that the Georgia Tech researchers want to explore most.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~atumanov\/\u0022\u003ETumanov\u003C\/a\u003E,\u0026nbsp;an assistant professor in the School of Computer Science, and his Ph.D. student Amey Agrawal, are testing machine learning (ML) and LLM workloads on the chip. Their work with the GH200 could lead to more sustainable computing methods that keep up with the exponential growth of LLMs.\u003C\/p\u003E\u003Cp\u003EThe advent of household LLMs, like ChatGPT and Gemini, pushes the limit of current architectures based on GPUs. The chip\u2019s design overcomes known CPU-GPU bandwidth limitations.\u0026nbsp;\u003Ca href=\u0022https:\/\/gatech-sysml.github.io\/\u0022\u003ETumanov\u2019s group\u003C\/a\u003E\u0026nbsp;will put that design to the test through their studies.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/tusharkrishna.ece.gatech.edu\/\u0022\u003EKrishna\u003C\/a\u003E\u0026nbsp;is an associate professor in the School of Electrical and Computer Engineering and associate director of the Center for Research into Novel Computing Hierarchies (\u003Ca href=\u0022https:\/\/crnch.gatech.edu\/\u0022\u003ECRNCH\u003C\/a\u003E).\u003Cbr\u003E\u003Cbr\u003EHis research focuses on optimizing data movement in modern computing platforms, including AI\/ML accelerator systems. Ph.D. student Hao Kang uses the GH200 to analyze LLMs exceeding 30 billion parameters. This study will enable labs to explore deep learning optimizations with the new chip. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/comp-physics.group\/\u0022\u003EBryngelson\u003C\/a\u003E, an assistant professor in the School of Computational Science and Engineering, will use the chip to compute and simulate fluid and solid mechanics phenomena. His lab can use the CPU to reorder memory and perform disk writes while the GPU does parallel work. This capability is expected to significantly reduce the computational burden for some applications.\u003Cbr\u003E\u003Cbr\u003E\u201cTraditional CPU to GPU communication is slower and introduces latency issues because data passes back and forth over a PCIe bus,\u201d Powell said. \u201cSince they can access each other\u2019s memory and share in one hop, the Superchip\u2019s architecture boosts speed and efficiency.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EGrace Hopper is the inspirational namesake for the chip. She pioneered many developments in computer science that formed the foundation of the field today. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EHopper invented the first compiler, a program that translates computer source code into a target language. She also wrote the earliest programming languages, including COBOL, which is still used today in data processing.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EHopper joined the U.S. Navy Reserve during World War II, tasked with programming the Mark I computer. She retired as a rear admiral in August 1986 after 42 years of military service.\u003C\/p\u003E\u003Cp\u003EGeorgia Tech researchers hope to preserve Hopper\u2019s legacy using the technology that bears her name and spirit for innovation to make new discoveries.\u003C\/p\u003E\u003Cp\u003E\u201cNVIDIA and other vendors show no sign of slowing down refinement of this kind of design, so it is important that our students understand how to get the most out of this architecture,\u201d said Powell.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cJust having all these technologies isn\u2019t enough. People must know how to build applications in their coding that actually benefit from these new architectures. That is the skill.\u201d\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EComputing research at Georgia Tech is getting faster thanks to a new state-of-the-art processing chip named after a female computer programming pioneer.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETech is one of the first research universities in the country to receive the GH200 Grace Hopper Superchip from NVIDIA for testing, study, and research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDesigned for large-scale artificial intelligence (AI) and high-performance computing applications, the GH200 is intended for large language model (LLM) training, recommender systems, graph neural networks, and other tasks.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlexey Tumanov and Tushar Krishna procured Georgia Tech\u2019s first pair of\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nvidia.com\/en-us\/data-center\/grace-hopper-superchip\/\u0022\u003EGrace Hopper chips\u003C\/a\u003E. Spencer Bryngelson attained four more GH200s, which will arrive later this month.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech is one of the first research universities in the country to receive the GH200 Grace Hopper Superchip from NVIDIA for testing, study, and research."}],"uid":"36319","created_gmt":"2024-04-17 13:20:18","changed_gmt":"2024-06-04 01:23:28","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-04-17T00:00:00-04:00","iso_date":"2024-04-17T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"673730":{"id":"673730","type":"image","title":"GH200 Superchip_cropped.jpg","body":null,"created":"1713360026","gmt_created":"2024-04-17 13:20:26","changed":"1713360026","gmt_changed":"2024-04-17 13:20:26","alt":"NVIDIA GH200 Grace Hopper Superchip","file":{"fid":"257159","name":"GH200 Superchip_cropped.jpg","image_path":"\/sites\/default\/files\/2024\/04\/17\/GH200%20Superchip_cropped.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/04\/17\/GH200%20Superchip_cropped.jpg","mime":"image\/jpeg","size":130959,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/04\/17\/GH200%20Superchip_cropped.jpg?itok=LvhDEP82"}},"673731":{"id":"673731","type":"image","title":"Will Powell GH200 1.jpg","body":null,"created":"1713360061","gmt_created":"2024-04-17 13:21:01","changed":"1713360061","gmt_changed":"2024-04-17 13:21:01","alt":"Will Powell NVIDIA GH200 Grace Hopper Superchip","file":{"fid":"257160","name":"Will Powell GH200 1.jpg","image_path":"\/sites\/default\/files\/2024\/04\/17\/Will%20Powell%20GH200%201.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/04\/17\/Will%20Powell%20GH200%201.jpg","mime":"image\/jpeg","size":3191657,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/04\/17\/Will%20Powell%20GH200%201.jpg?itok=3_p1KnGf"}}},"media_ids":["673730","673731"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/researchers-blazing-new-trails-superchip-named-after-computing-pioneer","title":"Researchers Blazing New Trails with Superchip Named After Computing Pioneer"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"187915","name":"go-researchnews"},{"id":"192863","name":"go-ai"},{"id":"10199","name":"Daily Digest"},{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"15030","name":"high-performance computing"},{"id":"9153","name":"Research Horizons"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39541","name":"Systems"}],"news_room_topics":[{"id":"71881","name":"Science and Technology"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003Ebryant.wine@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"671293":{"#nid":"671293","#data":{"type":"news","title":"Faculty to use AI for Protein Design and Discovery with Support of $1.8 Million NIH Grant","body":[{"value":"\u003Cp\u003EThe National Institute of Health (NIH) has awarded \u003Cstrong\u003EYunan Luo\u003C\/strong\u003E a grant for more than $1.8 million to use artificial intelligence (AI) to advance protein research.\u003C\/p\u003E\u003Cp\u003ENew AI models produced through the grant will lead to new methods for the design and discovery of functional proteins. This could yield novel drugs and vaccines, personalized treatments against diseases, and other advances in biomedicine.\u003C\/p\u003E\u003Cp\u003E\u201cThis project provides a new paradigm to analyze proteins\u2019 sequence-structure-function relationships using machine learning approaches,\u201d said Luo, an assistant professor in Georgia Tech\u2019s School of Computational Science and Engineering (CSE).\u003C\/p\u003E\u003Cp\u003E\u201cWe will develop new, ready-to-use computational models for domain scientists, like biologists and chemists. They can use our machine learning tools to guide scientific discovery in their research.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/reporter.nih.gov\/search\/j3MVxRlf6EG3ZhrN8vk3tQ\/project-details\/10712082\u0022\u003ELuo\u2019s proposal\u003C\/a\u003E improves on datasets spearheaded by \u003Ca href=\u0022https:\/\/alphafold.ebi.ac.uk\/\u0022\u003EAlphaFold\u003C\/a\u003E and other recent breakthroughs. His AI algorithms would integrate these datasets and craft new models for practical application.\u003C\/p\u003E\u003Cp\u003EOne of Luo\u2019s goals is to develop machine learning methods that learn statistical representations from the data. This reveals relationships between proteins\u2019 sequence, structure, and function. Scientists then could characterize how sequence and structure determine the function of a protein.\u003C\/p\u003E\u003Cp\u003ENext, Luo wants to make accurate and interpretable predictions about protein functions. His plan is to create biology-informed deep learning frameworks. These frameworks could make predictions about a protein\u2019s function from knowledge of its sequence and structure. It can also account for variables like mutations.\u003C\/p\u003E\u003Cp\u003EIn the end, Luo would have the data and tools to assist in the discovery of functional proteins. He will use these to build a computational platform of AI models, algorithms, and frameworks that \u2018invent\u2019 proteins. The platform figures the sequence and structure necessary to achieve a designed proteins desired functions and characteristics.\u003C\/p\u003E\u003Cp\u003E\u201cMy students play a very important part in this research because they are the driving force behind various aspects of this project at the intersection of computational science and protein biology,\u201d Luo said.\u003C\/p\u003E\u003Cp\u003E\u201cI think this project provides a unique opportunity to train our students in CSE to learn the real-world challenges facing scientific and engineering problems, and how to integrate computational methods to solve those problems.\u201d\u003C\/p\u003E\u003Cp\u003EThe $1.8 million grant is funded through the Maximizing Investigators\u2019 Research Award (MIRA). The National Institute of General Medical Sciences (NIGMS) manages the \u003Ca href=\u0022https:\/\/www.nigms.nih.gov\/Research\/mechanisms\/MIRA\u0022\u003EMIRA program\u003C\/a\u003E. NIGMS is one of 27 institutes and centers under NIH.\u003C\/p\u003E\u003Cp\u003EMIRA is oriented toward launching the research endeavors of young career faculty. The grant provides researchers with more stability and flexibility through five years of funding. This enhances scientific productivity and improves the chances for important breakthroughs.\u003C\/p\u003E\u003Cp\u003ELuo becomes the second School of CSE faculty to receive the MIRA grant. NIH awarded the grant to \u003Cstrong\u003EXiuwei Zhang\u003C\/strong\u003E in 2021. Zhang is the J.Z. Liang Early-Career Assistant Professor in the School of CSE.\u003C\/p\u003E\u003Cp\u003E[Related: \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/award-winning-computer-models-propel-research-cellular-differentiation\u0022\u003EAward-winning Computer Models Propel Research in Cellular Differentiation\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003E\u201cAfter NIH, of course, I first thanked my students because they laid the groundwork for what we seek to achieve in our grant proposal,\u201d said Luo.\u003C\/p\u003E\u003Cp\u003E\u201cI would like to thank my colleague, Xiuwei Zhang, for her mentorship in preparing the proposal. I also thank our school chair, Haesun Park, for her help and support while starting my career.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe National Institute of Health (NIH) has awarded\u0026nbsp;\u003Cstrong\u003EYunan Luo\u003C\/strong\u003E\u0026nbsp;a grant for more than $1.8 million to use artificial intelligence (AI) to advance protein research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENew AI models produced through the grant will lead to new methods for the design and discovery of functional proteins. This could yield novel drugs and vaccines, personalized treatments against diseases, and other advances in biomedicine.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The National Institute of Health (NIH) has awarded Yunan Luo a grant for more than $1.8 million to use artificial intelligence (AI) to advance protein research."}],"uid":"36319","created_gmt":"2023-11-29 13:25:24","changed_gmt":"2024-06-04 01:23:01","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-11-29T00:00:00-05:00","iso_date":"2023-11-29T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"672465":{"id":"672465","type":"image","title":"Luo NIH Grant2.jpeg","body":null,"created":"1701264332","gmt_created":"2023-11-29 13:25:32","changed":"1701264332","gmt_changed":"2023-11-29 13:25:32","alt":"Yunan Luo $1.8 Million NIH Grant","file":{"fid":"255703","name":"Luo NIH Grant2.jpeg","image_path":"\/sites\/default\/files\/2023\/11\/29\/Luo%20NIH%20Grant2.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/11\/29\/Luo%20NIH%20Grant2.jpeg","mime":"image\/jpeg","size":77115,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/11\/29\/Luo%20NIH%20Grant2.jpeg?itok=PzgqoaYM"}}},"media_ids":["672465"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/faculty-use-ai-protein-design-and-discovery-support-18-million-nih-grant","title":"Faculty to use AI for Protein Design and Discovery with Support of $1.8 Million NIH Grant"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"146","name":"Life Sciences and Biology"},{"id":"135","name":"Research"},{"id":"134","name":"Student and Faculty"}],"keywords":[{"id":"187915","name":"go-researchnews"},{"id":"10199","name":"Daily Digest"},{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"76231","name":"Computational Science and Engineering"},{"id":"2556","name":"artificial intelligence"},{"id":"9167","name":"machine learning"},{"id":"192863","name":"go-ai"},{"id":"9153","name":"Research Horizons"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[{"id":"71881","name":"Science and Technology"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"668663":{"#nid":"668663","#data":{"type":"news","title":"Students Earn Prestigious Fellowships Underscoring Institute\u2019s Leadership in AI","body":[{"value":"\u003Cp\u003EArtificial intelligence (AI) research by two Georgia Institute of Technology students has caught the attention of one of the world\u0027s leading financial services companies.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGaurav Verma and Yuxi Wu are recipients of 2023\u0026nbsp;\u003Ca href=\u0022https:\/\/www.jpmorgan.com\/technology\/artificial-intelligence\/research-awards\u0022\u003EJ.P. Morgan AI Research Ph.D. Fellowship Awards\u003C\/a\u003E. They are among 13 scholars being honored this year by J.P. Morgan Chase \u0026amp; Co. for AI research projects taking on real-world challenges.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0022Our goal is to recognize and enable the next generation of leading AI researchers. We want to create an environment where researchers can inspire change and make a lasting impact in our communities and across our industry,\u0022 said Manuela Veloso, Ph.D., head of AI Research, J.P. Morgan Chase \u0026amp; Co.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.jpmorgan.com\/technology\/artificial-intelligence\/research-awards\/phd-fellowship-2023\/gaurav-verma\u0022\u003EVerma\u003C\/a\u003E\u0026nbsp;is pursuing his Ph.D. in the\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E. Working with his advisor, Assistant Professor Srijan Kumar, Verma expects to ensure safety, equity, and well-being by creating multimodal learning and natural language processing approaches to achieve better human-AI interactions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.jpmorgan.com\/technology\/artificial-intelligence\/research-awards\/phd-fellowship-2023\/yuxi-wu\u0022\u003EWu\u003C\/a\u003E\u0026nbsp;is a Ph.D. candidate in the\u0026nbsp;\u003Ca href=\u0022https:\/\/ic.gatech.edu\/\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E. Empowering people regarding their privacy concerns is at the core of her research. Wu examines how cross-sector, collective action systems could better support end-user privacy. Professor Keith Edwards and Adjunct Assistant Professor Sauvik Das advise Wu.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0022It\u0027s inspiring to see our students and their work being honored with these prestigious fellowships,\u0022 said Irfan Essa, computer science professor and director of the\u0026nbsp;\u003Ca href=\u0022https:\/\/ml.gatech.edu\/\u0022\u003EMachine Learning Center at Georgia Tech\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0022Georgia Tech continues to lead in AI education and research. These fellowships for Gaurav and Yuxi are evidence that we\u0027re continuing to move in the right direction.\u0022\u003C\/p\u003E\r\n\r\n\u003Cp\u003EVerma and Wu are part of a spectrum of AI research spanning Georgia Tech. To unite this broad community and ensure it continues moving in the right direction, the Institute recently established\u0026nbsp;\u003Ca href=\u0022https:\/\/news.gatech.edu\/news\/2023\/06\/06\/ai-hub-georgia-tech-unite-campus-artificial-intelligence-rd-and-commercialization\u0022\u003EAI Hub at Georgia Tech\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0022AI has a deep history at Georgia Tech, and we continue to serve as leaders in many areas of AI research and education,\u0022 said Essa, interim co-director of AI Hub at Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0022Bringing all areas of AI under one umbrella, AI Hub at Georgia Tech will provide structure and governance as the Institute continues to lead and innovate in the burgeoning discipline of AI.\u0022\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ETwo Georgia Tech Ph.D. students are being recognized for their innovative research with J.P. Morgan AI Research Fellowships.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Two Georgia Tech Ph.D. students are being recognized for their innovative research taking on real-world problems."}],"uid":"32045","created_gmt":"2023-08-01 18:59:19","changed_gmt":"2024-05-13 14:48:53","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-08-01T00:00:00-04:00","iso_date":"2023-08-01T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"671294":{"id":"671294","type":"image","title":"Georgia Tech Ph.D. students Gaurav Verma and Yuxi Wu ","body":null,"created":"1690916372","gmt_created":"2023-08-01 18:59:32","changed":"1690916372","gmt_changed":"2023-08-01 18:59:32","alt":"Georgia Tech Ph.D. students Gaurav Verma and Yuxi Wu ","file":{"fid":"254324","name":"Screen Shot 2023-08-01 at 10.29.55 AM.png","image_path":"\/sites\/default\/files\/2023\/08\/01\/Screen%20Shot%202023-08-01%20at%2010.29.55%20AM.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/08\/01\/Screen%20Shot%202023-08-01%20at%2010.29.55%20AM.png","mime":"image\/png","size":534967,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/08\/01\/Screen%20Shot%202023-08-01%20at%2010.29.55%20AM.png?itok=8IXcQ01w"}}},"media_ids":["671294"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[{"id":"132","name":"Institute Leadership"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"10199","name":"Daily Digest"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[{"id":"71871","name":"Campus and Community"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBen Snedeker, Communications Manager II\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech College of Computing\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:albert.snedeker@cc.gatech.edu\u0022\u003Ealbert.snedeker@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"670297":{"#nid":"670297","#data":{"type":"news","title":"Machine Learning Key to Proposed App that Could Help Flood-prone Communities","body":[{"value":"\u003Cp\u003EA scientific machine learning (ML) expert at Georgia Tech is lending a hand in developing an app to identify and help Florida communities most at risk of flooding.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering (CSE)\u003C\/a\u003E Assistant Professor\u0026nbsp;\u003Cstrong\u003EPeng Chen\u003C\/strong\u003E\u0026nbsp;is co-principal investigator of a $1.5 million National Science Foundation grant to develop the CRIS-HAZARD system.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.stpetersburg.usf.edu\/news\/2023\/nsf-grant-cris-climate-risk-app.aspx\u0022\u003ECRIS-HAZARD\u003C\/a\u003E\u2018s strength derives from integrating geographic information and data mined from community input, like traffic camera videos and social media posts. \u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis ability helps policymakers identify areas most vulnerable to flooding and address community needs. The app also predicts and assesses flooding in real time to connect victims with first responders and emergency managers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cSuccessfully deploying CRIS-HAZARD will harness community knowledge through direct and indirect engagement efforts to inform decision-making,\u201d Chen said. \u201cIt will connect individuals to policymakers and serve as a roadmap at helping the most vulnerable communities.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChen\u2019s role in CRIS-HAZARD will be to develop new ML models for the app\u2019s prediction capability. These assimilation models integrate the mined data with predictions from current hydrodynamic models.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlong with making an immediate impact in flood-prone coastal communities, Chen said these models could have broader applications in the future. These include models for improved hurricane prediction and management of water resources.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe models Chen will build for CRIS-HAZARD derive from past applications aimed at helping communities.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChen has crafted similar models for monitoring and mitigating disease spread, including Covid-19. He has also worked on materials science projects to accelerate the design of metamaterials and self-assembly materials.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cScientific machine learning is very broad concept and can be applied to many different fields,\u201d Chen said. \u201cOur group looks at how to accelerate optimization, account for risk, and quantify uncertainty in these applications.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUncertainty in CRIS-HAZARD is what brings Chen to the project, headed by University of South Florida researchers. While the app\u2019s novelty lies in its use of heterogenous data, inferring predictions can be challenging since the data comes from different sources in varying formats.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo overcome this, Chen intends to build new data assimilation models from scratch powered by deep neural networks (DNNs).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlong with their ability to find connections between heterogeneous data, DNNs are scalable and inexpensive. This beats the alternative of using supercomputers to make the same calculations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDNNs are also fast and can significantly reduce computational time. According to Chen, the efficiency of DNNs can achieve acceleration hundreds of thousands of times greater than classical models.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELow cost and time make it possible to run DNN-based simulations multiple times. This improves reliability in prediction results in real-time once the DNNs are properly trained.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cThe data may not be consistent or compatible since there are different models we\u2019re trying to integrate, making prediction uncertain,\u201d Chen said. \u201cWe can run these ML models many times to quantify the uncertainty and give a probability distribution or a range of predictions.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECRIS-HAZARD also exemplifies the power of collaboration across disciplines and universities. In this case, machine learning techniques reach across state boundaries to help people that are vulnerable to flooding or other natural disasters.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUSF Professor\u0026nbsp;\u003Cstrong\u003EBarnali Dixon\u003C\/strong\u003E\u0026nbsp;leads the project with Associate Professor\u0026nbsp;\u003Cstrong\u003EYi Qiang\u003C\/strong\u003E\u2014 both geocomputation researchers in the School of Geosciences, incorporating data science and artificial intelligence.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESubhro Guhathakurta\u003C\/strong\u003E\u0026nbsp;collaborates with Chen from Georgia Tech. Along with being a professor in the School of City \u0026amp; Regional Planning, Guhathkurta is director of Tech\u2019s Master of Science in Urban Analytics program and the Center for Spatial Planning and Analytics and Visualization.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EA School of Computational Science and Engineering faculty member is co-leading a $1.5M National Science Foundation grant to mitigate flood risks. The team is developing an app to help policymakers identify areas most vulnerable to flooding and address community needs.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"A School of Computational Science and Engineering faculty member is co-leading a $1.5M National Science Foundation grant to mitigate flood risks."}],"uid":"32045","created_gmt":"2023-10-09 17:06:48","changed_gmt":"2024-05-13 14:46:10","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-10-09T00:00:00-04:00","iso_date":"2023-10-09T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"671984":{"id":"671984","type":"image","title":"Peng Chen NSF co-pi.jpeg","body":null,"created":"1696871217","gmt_created":"2023-10-09 17:06:57","changed":"1696871217","gmt_changed":"2023-10-09 17:06:57","alt":"Georgia Tech School of CSE Assistant Professor Peng Chen takes a break from his work for a photo.","file":{"fid":"255158","name":"Peng Chen NSF co-pi.jpeg","image_path":"\/sites\/default\/files\/2023\/10\/09\/Peng%20Chen%20NSF%20co-pi.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/10\/09\/Peng%20Chen%20NSF%20co-pi.jpeg","mime":"image\/jpeg","size":54215,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/10\/09\/Peng%20Chen%20NSF%20co-pi.jpeg?itok=WOU5dyFG"}}},"media_ids":["671984"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"42901","name":"Community"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"}],"keywords":[{"id":"187915","name":"go-researchnews"},{"id":"10199","name":"Daily Digest"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[{"id":"71911","name":"Earth and Environment"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Computational Science \u0026amp; Engineering\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ebryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"673161":{"#nid":"673161","#data":{"type":"news","title":"Cybersecurity Student Applies Studies to Win School-Led Chess Tournament","body":[{"value":"\u003Cp\u003EThe School of Computational Science and Engineering (CSE) hosted a chess tournament that pitted the minds, not computer software, of Georgia Tech researchers against one another.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn the end, M.S. student\u0026nbsp;\u003Cstrong\u003EMeenakshi Manikandaswamy\u003C\/strong\u003E\u0026nbsp;became the tournament champion on Feb. 21 by defeating Ph.D. candidate\u0026nbsp;\u003Cstrong\u003EZiyi (Francis) Yin\u003C\/strong\u003E. M.S. student\u0026nbsp;\u003Cstrong\u003EAnisha Tripathi\u003C\/strong\u003E\u0026nbsp;received the tournament\u2019s best new player award.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cI am thrilled to be this tournament\u2019s champion,\u201d Manikandaswamy said. \u201cI appreciate CSE for organizing this event and giving me the opportunity to participate. The tournament was well run and a fun experience.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EManikandaswamy studies cybersecurity under Professor\u0026nbsp;\u003Cstrong\u003EMustaque Ahamad\u003C\/strong\u003E, who holds joint appointments in the School of Computer Science and the School of Cybersecurity and Privacy.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EManikandaswamy\u2019s work is \u201cred team\u201d related. This designation means she takes an adversarial role in her research. She tries to break into systems to help experts understand and strengthen theM.S. student\u0026nbsp;\u003Cstrong\u003EMe\u003C\/strong\u003Eir platforms. Her group is developing a tool that scans for vulnerabilities on websites. The tool is easy to use and does not require computer science or cybersecurity expertise.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cChess helps to think about the opponent\u2019s point of view, thinking about how they are trying to attack you and how to protect yourself. That definitely applies to my master\u2019s.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EProfessor\u0026nbsp;\u003Cstrong\u003EFelix Herrmann\u003C\/strong\u003E\u0026nbsp;advises tournament runner-up Yin. Herrmann is jointly appointment with the Schools of Earth and Atmospheric Sciences, Electrical and Computer Engineering, and CSE.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETogether,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/machine-learning-could-be-key-early-leakage-detection-underground-carbon-storage-sites\u0022\u003Ethey develop computational methods for seismic imaging and modeling\u003C\/a\u003E. Yin studies machine learning approaches to solve inverse problems and quantify uncertainty in geoscientific applications.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cChess became a habit of ours. I think it\u2019s a great way to take some time to relax and take a break from our research,\u201d Yin said. \u201cIt\u2019s a game that unites us CSE students so that we learn about each other as people and become close friends, not just colleagues.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EManikandaswamy defeated M.S. student\u0026nbsp;\u003Cstrong\u003EAditya Kane\u003C\/strong\u003E\u0026nbsp;and Yin defeated M.S. student\u0026nbsp;\u003Cstrong\u003EKaran Nahar\u003C\/strong\u003E\u0026nbsp;to reach the finals.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe tournament began in January, opening with four weekly matches of round-robin play. These results determined the seeding for the semifinals.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe chess tournament\u2019s starting field of 25 players included School of CSE students, faculty, and staff members.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe CSE Graduate Student Association (GSA) organized and managed the tournament. To encourage participation, CSE GSA solicited participation outside the School of CSE. This included the\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.google.com\/view\/gtchess\u0022\u003EGeorgia Tech Chess Club\u003C\/a\u003E, which was how Manikandaswamy learned about the tournament.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cI think this tournament went really well, I was surprised with how much interest there is in chess across the school,\u201d said Ph.D. student\u0026nbsp;\u003Cstrong\u003EAranya Banerjee\u003C\/strong\u003E, president of CSE GSA. \u201cWe definitely hope to do something like this again in the future.\u201d\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe School of Computational Science and Engineering (CSE) hosted a chess tournament that pitted the minds, not computer software, of Georgia Tech researchers against one another.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn the end, M.S. student\u0026nbsp;\u003Cstrong\u003EMeenakshi Manikandaswamy\u003C\/strong\u003E\u0026nbsp;became the tournament champion on Feb. 21 by defeating Ph.D. candidate\u0026nbsp;\u003Cstrong\u003EZiyi (Francis) Yin\u003C\/strong\u003E. M.S. student\u0026nbsp;\u003Cstrong\u003EAnisha Tripathi\u003C\/strong\u003E\u0026nbsp;received the tournament\u2019s best new player award.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"M.S. student Meenakshi Manikandaswamy won a chess tournament hosted by the School of Computational Science and Engineering."}],"uid":"36319","created_gmt":"2024-02-26 16:17:12","changed_gmt":"2024-05-13 14:35:39","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-02-23T00:00:00-05:00","iso_date":"2024-02-23T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"673203":{"id":"673203","type":"image","title":"Head Photo_1.jpg","body":null,"created":"1708963420","gmt_created":"2024-02-26 16:03:40","changed":"1708963395","gmt_changed":"2024-02-26 16:03:15","alt":"CSE Chess Tournament Finals","file":{"fid":"256563","name":"Head Photo_1.jpg","image_path":"\/sites\/default\/files\/2024\/02\/26\/Head%20Photo_1.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/26\/Head%20Photo_1.jpg","mime":"image\/jpeg","size":154961,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/26\/Head%20Photo_1.jpg?itok=PYzD3rGw"}},"673204":{"id":"673204","type":"image","title":"Awards.jpg","body":null,"created":"1708963527","gmt_created":"2024-02-26 16:05:27","changed":"1708963504","gmt_changed":"2024-02-26 16:05:04","alt":"CSE Chess Tournament Finals","file":{"fid":"256564","name":"Awards.jpg","image_path":"\/sites\/default\/files\/2024\/02\/26\/Awards.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/26\/Awards.jpg","mime":"image\/jpeg","size":2038069,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/26\/Awards.jpg?itok=rG1fRqeT"}},"673205":{"id":"673205","type":"image","title":"Chess1_1.jpg","body":null,"created":"1708963567","gmt_created":"2024-02-26 16:06:07","changed":"1708963548","gmt_changed":"2024-02-26 16:05:48","alt":"CSE Chess 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Tournament","file":{"fid":"256566","name":"Chess2_1.jpg","image_path":"\/sites\/default\/files\/2024\/02\/26\/Chess2_1.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/26\/Chess2_1.jpg","mime":"image\/jpeg","size":2133092,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/26\/Chess2_1.jpg?itok=sT2JsUCE"}},"673207":{"id":"673207","type":"image","title":"Chess4_1.jpg","body":null,"created":"1708963781","gmt_created":"2024-02-26 16:09:41","changed":"1708963769","gmt_changed":"2024-02-26 16:09:29","alt":"CSE Chess Tournament","file":{"fid":"256567","name":"Chess4_1.jpg","image_path":"\/sites\/default\/files\/2024\/02\/26\/Chess4_1.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/26\/Chess4_1.jpg","mime":"image\/jpeg","size":1953592,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/26\/Chess4_1.jpg?itok=yawLojvv"}}},"media_ids":["673203","673204","673205","673206","673207"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/cybersecurity-student-applies-studies-win-school-led-chess-tournament","title":"Cybersecurity Student Applies Studies to Win School-Led Chess Tournament"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"42901","name":"Community"},{"id":"129","name":"Institute and Campus"},{"id":"134","name":"Student and Faculty"}],"keywords":[{"id":"10199","name":"Daily Digest"},{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"191634","name":"school of cybersecurity and privacy"}],"core_research_areas":[{"id":"145171","name":"Cybersecurity"}],"news_room_topics":[{"id":"71871","name":"Campus and Community"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"674434":{"#nid":"674434","#data":{"type":"news","title":"CSE Graduate Takes High-Performance Computing Expertise to Top Tech Corporation","body":[{"value":"\u003Cp\u003EAs another semester wraps up at Georgia Tech, new alumni will soon take the next step in their professional journeys.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne of those graduates is \u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/mikhailisaev\u0022\u003EMikhail (Michael) Isaev\u003C\/a\u003E, who earned a Ph.D. in computer science from the School of Computational Science and Engineering (CSE). After he walks across the stage and accepts his diploma at McCamish Pavilion on May 2, Isaev\u2019s next move is to work at NVIDIA Research as a research scientist.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAdvised by School of CSE Professor \u003Ca href=\u0022https:\/\/vuduc.org\/v2\/\u0022\u003ERich Vuduc\u003C\/a\u003E, Isaev\u2019s research interests lie at the intersection of computer architecture, high-performance computing (HPC), and deep learning. He focuses on deep learning workload analysis and software\/hardware co-design of large-scale deep learning systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIsaev received notable recognition for his co-design research at ModSim\u201922, where \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/award-winning-tool-bridges-gap-between-supercomputing-software-and-hardware\u0022\u003Ehe won the Dr. Sudhakar Yalamanchili Award\u003C\/a\u003E. He earned the \u201cSudha\u201d Award for his research on ParaGraph.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EParaGraph provides an automated way to emulate application software in ways that a network simulator can understand. The tool makes co-design a bilateral process, facilitating better supercomputing applications and closing the gap for hardware and software experts.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile the award recognizes researchers for their contributions to the computer modeling and simulation field, it carried much more sentimental meaning to Isaev. Yalamanchili was a Georgia Tech faculty member who died in 2019. Isaev and his collaborators personally knew and worked with Yalamanchili.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cI felt very honored to receive the award,\u201d Isaev said. \u201cI had the pleasure to meet and talk to Sudha, so it felt great to bring home this award in his name and, in a way, give back to Georgia Tech.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnother meaningful project Isaev worked on was Calculon, a tool for co-design optimization of large language models (LLMs).\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nCalculon analyzes large co-design spaces of hardware and software configurations. This ability \u0026nbsp;progresses the discovery of new, and sometimes surprising, configurations that might outperform current methods.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBy focusing specifically on LLMs, Calculon modeled more aspects of performance optimization at greater accuracy and speeds several orders of magnitude faster than ParaGraph.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs tech companies train and retrain LLMs on tens of thousands of graphics processing units (GPUs), search spaces grow larger and become more vast as larger systems are introduced.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIsaev\u2019s work on Calculon is timely since there was no open-source tool that could quickly navigate this space and determine the best configurations. Calculon is a simple, yet effective, tool that can do the job fast and efficiently, sparking interest from many companies and research community\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIsaev presented Calculon at conferences like Supercomputing 2023, ModSim\u201923, and the ASSYST workshop at ISCA 2023. He also gave talks at NVIDIA, Google, Microsoft, IBM, and the Department of Energy to share his research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe talks at NVIDIA, Google, and Microsoft were notable since Isaev interned as a Ph.D. student at the companies. He has also interned at HP Labs and Meta.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIsaev interned at NVIDIA four times, three with the company\u2019s Network Research Group. That is where he worked on ParaGraph and Calculon under one of his mentors, \u003Ca href=\u0022https:\/\/www.nicm.dev\/\u0022\u003ENic McDonald\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cWhile Calculon won no award, I feel it was more well-received and got better traction with the HPC community,\u201d Isaev said.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u201cThis is partly due to Calculon being a product of collaboration between my internships and conference presentations. It truly is a tool created by HPC researchers for HPC research.\u201d\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EAs another semester wraps up at Georgia Tech, new alumni will soon take the next step in their professional journeys.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne of those graduates is \u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/mikhailisaev\u0022\u003EMikhail (Michael) Isaev\u003C\/a\u003E, who earned a Ph.D. in computer science from the School of Computational Science and Engineering (CSE). After he walks across the stage and accepts his diploma at McCamish Pavilion on May 2, Isaev\u2019s next move is to work at NVIDIA Research as a research scientist.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE Ph.D. graduate Mikhail (Michael) Isaev finished his computer science degree at Georgia Tech and will work at NVIDIA Research as a research scientist"}],"uid":"36319","created_gmt":"2024-04-30 12:01:43","changed_gmt":"2024-04-30 12:07:29","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-04-30T00:00:00-04:00","iso_date":"2024-04-30T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"673882":{"id":"673882","type":"image","title":"MI Graphic.jpg","body":null,"created":"1714478512","gmt_created":"2024-04-30 12:01:52","changed":"1714478512","gmt_changed":"2024-04-30 12:01:52","alt":"Mikhail (Michael) Isaev Graphic","file":{"fid":"257333","name":"MI Graphic.jpg","image_path":"\/sites\/default\/files\/2024\/04\/30\/MI%20Graphic.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/04\/30\/MI%20Graphic.jpg","mime":"image\/jpeg","size":622304,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/04\/30\/MI%20Graphic.jpg?itok=PzT32qHF"}},"673883":{"id":"673883","type":"image","title":"MI ModSim.png","body":null,"created":"1714478561","gmt_created":"2024-04-30 12:02:41","changed":"1714478561","gmt_changed":"2024-04-30 12:02:41","alt":"Mikhail (Michael) Isaev ModSim\u002722","file":{"fid":"257334","name":"MI ModSim.png","image_path":"\/sites\/default\/files\/2024\/04\/30\/MI%20ModSim.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/04\/30\/MI%20ModSim.png","mime":"image\/png","size":389187,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/04\/30\/MI%20ModSim.png?itok=qa-oQWYU"}},"673884":{"id":"673884","type":"image","title":"MI SC23.jpg","body":null,"created":"1714478604","gmt_created":"2024-04-30 12:03:24","changed":"1714478604","gmt_changed":"2024-04-30 12:03:24","alt":"Mikhail (Miachael) Isaev SC23","file":{"fid":"257335","name":"MI SC23.jpg","image_path":"\/sites\/default\/files\/2024\/04\/30\/MI%20SC23.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/04\/30\/MI%20SC23.jpg","mime":"image\/jpeg","size":115369,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/04\/30\/MI%20SC23.jpg?itok=jTISVFpZ"}}},"media_ids":["673882","673883","673884"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/cse-graduate-takes-high-performance-computing-expertise-top-tech-corporation","title":"CSE Graduate Takes High-Performance Computing Expertise to Top Tech Corporation"}],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"47223","name":"College of Computing"}],"categories":[{"id":"130","name":"Alumni"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"},{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"10199","name":"Daily Digest"},{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"15030","name":"high-performance computing"},{"id":"193677","name":"2024 spring commencement"},{"id":"596","name":"Alumni Association"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39541","name":"Systems"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"674334":{"#nid":"674334","#data":{"type":"news","title":"School Continues Award-Winning Trend in 2023-2024 Academic Year","body":[{"value":"\u003Cp\u003EThe College of Computing\u2019s countdown to commencement began on April 11 when students, faculty, and staff converged at the 33rd Annual Awards Celebration.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe banquet celebrated the college community for an exemplary academic year and recognized the most distinguished individuals of 2023-2024. For Alex Orso, the reception was a high-water mark in his role as interim dean.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cI always say that the best part about my job is to brag about the achievements and accolades of my colleagues,\u201d said Orso.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cIt is my distinct honor and privilege to recognize these award winners and the collective success of the College of Computing.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOrso\u2019s colleagues from the School of Computational Science and Engineering (CSE) were among the celebration\u2019s honorees. School of CSE students, faculty, and alumni earning awards this year include:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EGrace Driskill, M.S. CSE student - The Donald V. Jackson Fellowship\u003C\/li\u003E\r\n\t\u003Cli\u003EHarshvardhan Baldwa, M.S. CSE student - The Marshal D. Williamson Fellowship\u003C\/li\u003E\r\n\t\u003Cli\u003EMansi Phute, M.S. CS student- The Marshal D. Williamson Fellowship\u003C\/li\u003E\r\n\t\u003Cli\u003EAssistant Professor Chao Zhang- Outstanding Junior Faculty Research Award\u003C\/li\u003E\r\n\t\u003Cli\u003ENazanin Tabatbaei, teaching assistant in Associate Professor Polo Chau\u2019s CSE 6242 Data \u0026amp; Visual Analytics course- Outstanding Instructional Associate Teaching Award\u003C\/li\u003E\r\n\t\u003Cli\u003ERodrigo Borela (Ph.D. CSE-CEE 2021), School of Computing Instruction Lecturer and CSE program alumnus - William D. \u0022Bill\u0022 Leahy Jr. Outstanding Instructor Award\u003C\/li\u003E\r\n\t\u003Cli\u003EPratham Metha, undergraduate student in Chau\u2019s research group- Outstanding Legacy Leadership Award\u003C\/li\u003E\r\n\t\u003Cli\u003EAlexander Rodriguez (Ph.D. CS 2023), School of CSE alumnus - Outstanding Doctoral Dissertation Award\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EAt the Institute level, Georgia Tech recognized Driskill, Baldwa, and Phute for their awards on April 10 at the annual \u003Ca href=\u0022https:\/\/news.gatech.edu\/news\/2024\/04\/11\/student-excellence-honored-annual-event\u0022\u003EStudent Honors Celebration\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDriskill\u2019s classroom achievement earned her a spot on the \u003Ca href=\u0022https:\/\/ramblinwreck.com\/multiple-jackets-named-to-all-academic-team\/\u0022\u003E2024 All-ACC Indoor Track and Field Academic Team\u003C\/a\u003E. This follows her selection for the \u003Ca href=\u0022https:\/\/ramblinwreck.com\/swarm-of-jackets-earn-all-acc-academic-honors-2\/\u0022\u003E2023 All-ACC Academic Team for cross country\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech\u2019s Center for Teaching and Learning released in summer 2023 the \u003Ca href=\u0022https:\/\/ctl.gatech.edu\/content\/student-recognition-excellence-teaching-class-1934-honor-roll\u0022\u003EClass of 1934 Honor Roll for spring semester courses\u003C\/a\u003E. School of CSE awardees included Assistant Professor Srijan Kumar (CSE 6240: Web Search \u0026amp; Text Mining), Lecturer Max Mahdi Roozbahani (CS 4641: Machine Learning), and alumnus Mengmeng Liu (CSE 6242: Data \u0026amp; Visual Analytics).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccolades and recognition of School of CSE researchers for 2023-2024 expounded off campus as well.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of CSE researchers received awards off campus throughout the year, a testament to the reach and impact of their work.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of CSE Ph.D. student Gaurav Verma kicked off the year by receiving the \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/students-earn-prestigious-fellowships-underscoring-institutes-leadership-ai\u0022\u003EJ.P. Morgan Chase AI Research Ph.D. Fellowship\u003C\/a\u003E. Verma was one of only 13 awardees from around the world selected for the 2023 class.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlong with seeing many of his students receive awards this year, Polo Chau attained a \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/three-computing-faculty-receive-google-awards-inclusion-research\u0022\u003E2023 Google Award for Inclusion Research\u003C\/a\u003E. Later in the year, the Institute \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/dean-announces-faculty-promotions-and-tenure-appointments\u0022\u003Epromoted Chau to professor\u003C\/a\u003E, which takes effect in the 2024-2025 academic year.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchmidt Sciences selected School of CSE Assistant Professor Kai Wang as an \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/faculty-first-georgia-tech-receive-new-fellowship-ai-research\u0022\u003EAI2050 Early Career Fellow\u003C\/a\u003E to advance artificial intelligence research for social good. By being part of the fellowship\u2019s second cohort, Wang is the first ever Georgia Tech faculty to receive the award.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of CSE Assistant Professor Yunan Luo received two significant awards to advance his work in computational biology. First, Luo received the Maximizing Investigator\u2019s Research Award (MIRA) from the National Institutes of Health, which provides $1.8 million in funding for five years. Next, he received the \u003Ca href=\u0022https:\/\/moleculemaker.org\/news\/2023-seed-grant-awardees\/\u0022\u003E2023 Molecule Make Lab Institute (MMLI) seed grant\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERegents\u2019 Professor Surya Kalidindi, jointly appointed with the George W. Woodruff School of Mechanical Engineering and School of CSE, was named a fellow to the 2023 class of the Department of Defense\u2019s \u003Ca href=\u0022https:\/\/www.defense.gov\/News\/Releases\/Release\/Article\/3538609\/dod-announces-2023-laboratory-university-collaboration-initiative-fellows\/\u0022\u003ELaboratory-University Collaboration Initiative (LUCI)\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E2023-2024 was a monumental year for Assistant Professor Elizabeth Qian, jointly appointed with the Daniel Guggenheim School of Aerospace Engineering and the School of CSE.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Air Force Office of Scientific Research\u003Cstrong\u003E \u003C\/strong\u003Eselected Qian for the 2024 class of their \u003Ca href=\u0022https:\/\/www.ae.gatech.edu\/news\/2024\/03\/elizabeth-qian-chosen-afosr-young-investigator-award\u0022\u003EYoung Investigator Program\u003C\/a\u003E. Earlier in the year, she received a grant under the \u003Ca href=\u0022https:\/\/www.energy.gov\/articles\/doe-announces-264-million-basic-research-support-energy-earthshotstm\u0022\u003EDepartment of Energy\u2019s Energy Earthshots Initiative\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EQian began the year by joining 81 other early-career engineers at the \u003Ca href=\u0022https:\/\/ae.gatech.edu\/news\/2023\/07\/professor-qian-bring-her-expertise-2023-nae-frontiers-symposium\u0022\u003ENational Academy of Engineering\u2019s Grainger Foundation Frontiers of Engineering 2023 Symposium\u003C\/a\u003E. She also received the Hans Fischer Fellowship from the Institute for Advance Study at the Technical University of Munich.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIt was a big academic year for Associate Professor Elizabeth Cherry. Cherry was reelected to a three-year term as a council member-at-large of the \u003Ca href=\u0022https:\/\/sinews.siam.org\/Details-Page\/siam-announces-newest-leadership\u0022\u003ESociety of Industrial and Applied Mathematics (SIAM)\u003C\/a\u003E. Cherry is also co-chair of the SIAM organizing committee for next year\u2019s Conference on Computational Science and Engineering (CSE25).\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECherry continues to serve as the School of CSE\u2019s associate chair for academic affairs. These leadership contributions led to her being named to the \u003Ca href=\u0022https:\/\/news.gatech.edu\/news\/2024\/03\/04\/new-cohort-acc-academic-leaders-network-fellows-selected\u0022\u003E2024 ACC Academic Leaders Network (ACC ALN) Fellows program\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of CSE Professor and Associate Chair Edmond Chow was co-author of a paper that received the \u003Ca href=\u0022https:\/\/sc23.supercomputing.org\/2023\/08\/standing-the-test-of-time\/\u0022\u003ETest of Time Award at Supercomputing 2023\u003C\/a\u003E (SC23). Right before SC23, Chow\u2019s Ph.D. student Hua Huang was selected as an honorable mention for the \u003Ca href=\u0022https:\/\/www.acm.org\/media-center\/2023\/october\/george-michael-fellowship-recipients-2023\u0022\u003E2023 ACM-IEEE CS George Michael Memorial HPC Fellowship\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe College of Computing\u2019s countdown to commencement began on April 11 when students, faculty, and staff converged at the 33rd Annual Awards Celebration.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe banquet celebrated the college community for an exemplary academic year and recognized the most distinguished individuals of 2023-2024. For Alex Orso, the reception was a high-water mark in his role as interim dean.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOrso\u2019s colleagues from the School of Computational Science and Engineering (CSE) were among the celebration\u2019s honorees\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The College of Computing\u2019s countdown to commencement began on April 11 when students, faculty, and staff converged at the 33rd Annual Awards Celebration."}],"uid":"36319","created_gmt":"2024-04-23 12:13:08","changed_gmt":"2024-04-23 12:16:23","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-04-23T00:00:00-04:00","iso_date":"2024-04-23T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"673810":{"id":"673810","type":"image","title":"Main Photo.jpg","body":null,"created":"1713874396","gmt_created":"2024-04-23 12:13:16","changed":"1713874396","gmt_changed":"2024-04-23 12:13:16","alt":"College of Computing 33rd Annual Awards Celebration","file":{"fid":"257252","name":"Main Photo.jpg","image_path":"\/sites\/default\/files\/2024\/04\/23\/Main%20Photo.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/04\/23\/Main%20Photo.jpg","mime":"image\/jpeg","size":183048,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/04\/23\/Main%20Photo.jpg?itok=mQlTT0V9"}}},"media_ids":["673810"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/school-continues-award-winning-trend-2023-2024-academic-year","title":"School Continues Award-Winning Trend in 2023-2024 Academic Year"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"42901","name":"Community"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"134","name":"Student and Faculty"},{"id":"193157","name":"Student Honors and Achievements"}],"keywords":[{"id":"192863","name":"go-ai"},{"id":"10199","name":"Daily Digest"},{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"668133":{"#nid":"668133","#data":{"type":"news","title":"Award-winning Computer Models Propel Research in Cellular Differentiation ","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThe discovery of nucleic acids is a recent event in the history of scientific phenomenon, and there is still much learn from the enigma that is genetic code.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAdvances in computing techniques though have ushered in a new age of understanding the macromolecules that form life as we know it. Now, one Georgia Tech research group is receiving well-deserved accolades for their applications in data science and machine learning toward single-cell omics research.\u0026nbsp; \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EStudents studying under \u003Cstrong\u003EXiuwei Zhang\u003C\/strong\u003E, an assistant professor in the School of Computational Science and Engineering (CSE), received awards in April at the \u003Ca href=\u0022https:\/\/research.gatech.edu\/data\/events\/awsom\u0022\u003EAtlanta Workshop on Single-cell Omics (AWSOM 2023)\u003C\/a\u003E. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ESchool of CSE Ph.D. student \u003Cstrong\u003EZiqi Zhang\u003C\/strong\u003E received the best oral presentation award, while \u003Cstrong\u003EMihir Birfna, \u003C\/strong\u003Ean undergraduate student majoring in computer science, took the best poster prize.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAlong with providing computational tools for biological researchers, the group\u2019s papers presented at AWSOM 2023 could benefit populations of people as the research could lead to improved disease detection and prevention. They can also provide a better understanding of causes and treatments of cancer and new ability to accurately simulate cellular processes.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u201cI am extremely proud of the entire research group and very thankful of their work and our teamwork within our lab,\u201d said Xiuwei Zhang. \u201cThese awards are encouraging because it means we are on the right track of developing something that will contribute both to the biology community and the computational community.\u201d\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EZiqi Zhang presented the group\u2019s findings of their deep learning framework called \u003Ca href=\u0022https:\/\/www.biorxiv.org\/content\/10.1101\/2023.05.01.538975v1.full\u0022\u003EscDisInFact\u003C\/a\u003E, which can carry out multiple key single cell RNA-sequencing (scRNA-seq) tasks all at once and outperform current models that focus on the same tasks individually. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThe group successfully tested scDisInFact on simulated and real Covid-19 datasets, demonstrating applicability in future studies of other diseases. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EBafna\u2019s poster introduced CLARIFY, a tool that connects biochemical signals occurring within a cell and intercellular communication molecules. Previously, the inter- and intra-cell signaling were often studied separately due to the complexity of each problem.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EOncology is one field that stands to benefit from CLARIFY. CLARIFY helps to understand the interactions between tumor cells and immune cells in cancer microenvironments, which is crucial for enabling success of cancer immunotherapy. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAt AWSOM 2023, the group presented a third paper on \u003Ca href=\u0022https:\/\/www.biorxiv.org\/content\/10.1101\/2022.10.15.512320v3\u0022\u003EscMultiSim\u003C\/a\u003E. This simulator generates data found in multi-modal single-cell experiments through modeling various biological factors underlying the generated data. It enables quantitative evaluations of a wide range of computational methods in single-cell genomics. That has been a challenging problem due to lack of ground truth information in biology, Xiuwei Zhang said.\u0026nbsp; \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u201cWe want to answer certain basic questions in biology, like how did we get these different cell types like skin cells, bone cells, and blood cells,\u201d she said. \u201cIf we understand how things work in normal and healthy cells, and compare that to the data of diseased cells, then we can find the key differences of those two and locate the genes, proteins, and other molecules that cause problems.\u201d\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EXiuwei Zhang\u2019s group specializes in applying machine learning and optimization skills in analysis of single-cell omics data and scRNA-seq methods. Their main interest area is studying mechanisms of cellular differentiation\u2014 the process when young, immature cells mature and take on functional characteristics. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EA growing, yet effective approach to research in molecular biology, scRNA-seq gives insight of existence and behavior of different types of cells. This helps researchers better understand genetic disorders, detect mechanisms that cause tumors and cancer, and develop new treatments, cures, and drugs.\u0026nbsp; \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EIf microenvironments filled with various macromolecules and genetic material are considered datasets, the need for researchers like Xiuwei Zhang and her group is obvious. These massive, complex datasets present both challenges and opportunities for the group experienced in computational and biological research.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ECollaborating authors include School of CSE Ph.D. students \u003Cstrong\u003EHechen Li\u003C\/strong\u003E and \u003Cstrong\u003EMichael Squires\u003C\/strong\u003E, School of Electrical and Computer Engineering Ph.D. student \u003Cstrong\u003EXinye Zhao\u003C\/strong\u003E, Wallace H. Coulter Department of Biomedical Engineering Associate Professor \u003Cstrong\u003EPeng Qiu\u003C\/strong\u003E, and \u003Cstrong\u003EXi Chen\u003C\/strong\u003E, an assistant professor at Southern University of Science and Technology in Shenzhen, China.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThe group\u2019s presentations at AWSOM 2023 exhibited how their work makes progress in biomedical research, as well as advancing scientific computing methods in data science, machine learning, and simulation. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EscDisInFact is an optimization tool that can perform batch effect removal, condition-associated key gene detection, and perturbation, which is made possible by considering major variation factors in the data. Without considering all these factors, current models can only do these tasks individually, but scDisInFact can do each task better and all at the same time.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ECLARIFY delves into how cells employ genetic material to communicate internally, using gene regulatory networks (GRNs) and externally, called cell-cell interactions (CCIs). Many computational methods can infer GRNs and inference methods have been proposed for CCIs, but until CLARIFY, no method existed to infer GRNs and CCIs in the same model. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EscMultiSim simulations perform closer to real-world conditions than current simulators that model only one or two biological factors. This helps researchers more realistically test their computational methods, which can guide directions for future method development. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EWhether they be computer scientists, biologists, or non-academics alike, the advantage of interdisciplinary and collaborative research, like Xiuwei Zhang\u2019s group, is its wide-reaching impact that advances technology to improve the human condition. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u201cWe\u2019re exploring the possibilities that can be realized by advanced computational methods combined with cutting edge biotechnology,\u201d said Xiuwei Zhang. \u201cSince biotechnology keeps evolving very fast and we want to help push this even further by developing computational methods, together we will propel science forward.\u201d\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThe discovery of nucleic acids is a recent event in the history of scientific phenomenon, and there is still much learn from the enigma that is genetic code.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAdvances in computing techniques though have ushered in a new age of understanding the macromolecules that form life as we know it. Now, one Georgia Tech research group is receiving well-deserved accolades for their applications in data science and machine learning toward single-cell omics research.\u0026nbsp; \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Students studying under Xiuwei Zhang, an assistant professor in the School of Computational Science and Engineering (CSE), received awards in April at the Atlanta Workshop on Single-cell Omics (AWSOM 2023). "}],"uid":"36319","created_gmt":"2023-06-16 14:21:36","changed_gmt":"2024-02-14 19:59:47","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-06-16T00:00:00-04:00","iso_date":"2023-06-16T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"670987":{"id":"670987","type":"image","title":"Xiuwei Group_1.jpeg","body":null,"created":"1686925309","gmt_created":"2023-06-16 14:21:49","changed":"1686925309","gmt_changed":"2023-06-16 14:21:49","alt":"Xiuwei Zhang Group AWSOM 2023","file":{"fid":"253969","name":"Xiuwei Group_1.jpeg","image_path":"\/sites\/default\/files\/2023\/06\/16\/Xiuwei%20Group_1.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/06\/16\/Xiuwei%20Group_1.jpeg","mime":"image\/jpeg","size":144062,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/06\/16\/Xiuwei%20Group_1.jpeg?itok=g6wCaI9g"}}},"media_ids":["670987"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"140","name":"Cancer Research"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"146","name":"Life Sciences and Biology"},{"id":"135","name":"Research"},{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"192863","name":"go-ai"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"671051":{"#nid":"671051","#data":{"type":"news","title":"Machine Learning Animation Tool Takes Best Poster Prize at Visualization Conference","body":[{"value":"\u003Cp\u003EGeorgia Tech researchers have created a machine learning (ML) visualization tool that must be seen to believe.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPh.D. student\u0026nbsp;\u003Cstrong\u003EAlec Helbling\u003C\/strong\u003E\u0026nbsp;is the creator of ManimML, a tool that renders common ML concepts into animation. This development will enable new ML technologies by allowing designers to see and share their work in action.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHelbling presented\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2306.17108\u0022\u003EManimML\u003C\/a\u003E\u0026nbsp;at IEEE VIS, the world\u2019s highest-rated conference for visualization research and second-highest rated for computer graphics. It received so much praise at the conference that it won the venue\u2019s prize for best poster.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cI was quite surprised and honored to have received this award,\u201d said Helbling, who is advised by School of Computational Science and Engineering Associate Professor\u0026nbsp;\u003Cstrong\u003EPolo Chau\u003C\/strong\u003E.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u201cI didn\u0027t start ManimML with the intention of it becoming a research project, but because I felt like a tool for communicating ML architectures through animation needed to exist.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003E[RELATED:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/three-computing-faculty-receive-google-awards-inclusion-research\u0022\u003EPolo Chau is One of Three College of Computing Faculty to Receive 2023 Google Award for Inclusion Research\u003C\/a\u003E]\u003C\/p\u003E\r\n\r\n\u003Cp\u003EManimML uses animation to show ML developers how their algorithms work. Not only does the tool allow designers to watch their projects come to life, but they can also explain existing and new ML techniques to broad audiences, including non-experts.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EManimML is an extension of the Manim Community library, a Python tool for animating mathematical concepts. ManimML connects to the library to offer a new capability that animates ML algorithms and architectures.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHelbling chose familiar platforms like Python and Manim to make the tool accessible to large swaths of users varying in skill and experience. Enthusiasts and experts alike can find practical use in ManimML considering today\u2019s widespread interest and application of ML.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cWe know that animation is an effective means of instruction and learning,\u201d Helbling said. \u201cManimML offers that ability for ML practitioners to easily communicate how their systems work, improving public trust and awareness of machine learning.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EManimML overcomes what has been an elusive approach to visualizing ML algorithms. Current techniques require developers to create custom animations for every specific algorithm, often needing specialized software and experience.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EManimML streamlines this by producing animations of common ML architectures coded in Python, like neural networks.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA user only needs to specify a sequence of neural network layers and their respective hyperparameters. ManimML then constructs an animation of the entire network.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cTo use ManimML, you simply need to specify an ML architecture in code, using a syntax familiar to most ML professionals,\u201d Helbling said. \u201cThen it will automatically generate an animation that communicates how the system works.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EManimML ranked as the best poster from a field of 49 total presentations.\u0026nbsp;\u003Ca href=\u0022https:\/\/ieeevis.org\/year\/2023\/welcome\u0022\u003EIEEE VIS 2023\u003C\/a\u003E\u0026nbsp;occurred Oct. 22-27 in Melbourne, Australia. This event marks the first time IEEE held the conference in the Southern Hemisphere.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EManimML has more than 23,000 downloads and a demonstration on social media has hundreds of thousands of views.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EManimML is open source and available at:\u0026nbsp;\u003Ca href=\u0022https:\/\/github.com\/helblazer811\/ManimML\u0022\u003Ehttps:\/\/github.com\/helblazer811\/ManimML\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EPh.D. student\u0026nbsp;\u003Cstrong\u003EAlec Helbling\u003C\/strong\u003E\u0026nbsp;is the creator of ManimML, a tool that renders common ML concepts into animation. This development will enable new ML technologies by allowing designers to see and share their work in action.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHelbling presented\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2306.17108\u0022\u003EManimML\u003C\/a\u003E\u0026nbsp;at IEEE VIS, the world\u2019s highest-rated conference for visualization research and second-highest rated for computer graphics. It received so much praise at the conference that it won the venue\u2019s prize for best poster.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Ph.D. student Alec Helbling is the creator of ManimML, an animations tool that won best poster at IEEE VIS 2023"}],"uid":"36319","created_gmt":"2023-11-14 15:21:14","changed_gmt":"2024-02-14 19:58:02","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-11-02T00:00:00-04:00","iso_date":"2023-11-02T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"672376":{"id":"672376","type":"image","title":"Alec Helbling.jpg","body":null,"created":"1699975293","gmt_created":"2023-11-14 15:21:33","changed":"1699975293","gmt_changed":"2023-11-14 15:21:33","alt":"Ph.D. student Alec Helbling ManimML","file":{"fid":"255607","name":"Alec Helbling.jpg","image_path":"\/sites\/default\/files\/2023\/11\/14\/Alec%20Helbling.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/11\/14\/Alec%20Helbling.jpg","mime":"image\/jpeg","size":49200,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/11\/14\/Alec%20Helbling.jpg?itok=3zcNZOZX"}}},"media_ids":["672376"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/machine-learning-animation-tool-takes-best-poster-prize-visualization-conference","title":""}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"135","name":"Research"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"187915","name":"go-researchnews"},{"id":"10199","name":"Daily Digest"},{"id":"76231","name":"Computational Science and Engineering"},{"id":"654","name":"College of Computing"},{"id":"173555","name":"Center for Machine Learning"},{"id":"192863","name":"go-ai"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"672735":{"#nid":"672735","#data":{"type":"news","title":"Scholars Optimize Scientific Models with the Power of Artificial Intelligence","body":[{"value":"\u003Cp\u003EScientists are always looking for better computer models that simulate the complex systems that define our world. To meet this need, a Georgia Tech workshop held Jan. 16 illustrated how new artificial intelligence (AI) research could usher the next generation of scientific computing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe workshop focused AI technology toward optimization of complex systems. Presentations of climatological and electromagnetic simulations showed these techniques resulted in more efficient and accurate computer modeling. The workshop also progressed AI research itself since AI models typically are not well-suited for optimization tasks.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe School of Computational Science and Engineering (CSE) and Institute for Data Engineering and Science jointly sponsored the workshop.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of CSE Assistant Professors\u0026nbsp;\u003Cstrong\u003EPeng Chen\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003ERapha\u00ebl Pestourie\u003C\/strong\u003E\u0026nbsp;led the\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/events\/2024\/01\/16\/georgia-tech-workshop-foundation-scientific-ai-optimization-complex-systems\u0022\u003Eworkshop\u2019s organizing committee\u003C\/a\u003E\u0026nbsp;and moderated the workshop\u2019s two panel discussions. The duo also pitched their own research, highlighting potential of scientific AI.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChen shared his work on derivative-informed neural operators (DINOs). DINOs are a class of neural networks that use derivative information to approximate solutions of partial differential equations. The derivative enhancement results in neural operators that are more accurate and efficient.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDuring his talk, Chen showed how DINOs makes better predictions with reliable derivatives. These have potential to solve data assimilation problems in weather and flooding prediction. Other applications include allocating sensors for early tsunami warnings and designing new self-assembly materials.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAll these models contain elements of uncertainty where data is unknown, noisy, or changes over time. Not only is DINOs a powerful tool to quantify uncertainty, but it also requires little training data to become functional.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cRecent advances in AI tools have become critical in enhancing societal resilience and quality, particularly through their scientific uses in environmental, climatic, material, and energy domains,\u201d Chen said.\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u201cThese tools are instrumental in driving innovation and efficiency in these and many other vital sectors.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003E[Related:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/machine-learning-key-proposed-app-could-help-flood-prone-communities\u0022\u003EMachine Learning Key to Proposed App that Could Help Flood-prone Communities\u003C\/a\u003E]\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne challenge in studying complex systems is that it requires many simulations to generate enough data to learn from and make better predictions. But with limited data on hand, it is costly to run enough simulations to produce new data.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAt the workshop, Pestourie presented his physics-enhanced deep surrogates (PEDS) as a solution to this optimization problem.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPEDS employs scientific AI to make efficient use of available data while demanding less computational resources. PEDS demonstrated to be up to three times more accurate than models using neural networks while needing less training data by at least a factor of 100.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPEDS yielded these results in tests on diffusion, reaction-diffusion, and electromagnetic scattering models. PEDS performed well in these experiments geared toward physics-based applications because it combines a physics simulator with a neural network generator.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cScientific AI makes it possible to systematically leverage models and data simultaneously,\u201d Pestourie said. \u201cThe more adoption of scientific AI there will be by domain scientists, the more knowledge will be created for society.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003E[Related:\u0026nbsp;\u003Ca href=\u0022https:\/\/news.mit.edu\/2024\/peds-technique-could-efficiently-solve-partial-differential-equations-0108\u0022\u003ETechnique Could Efficiently Solve Partial Differential Equations for Numerous Applications\u003C\/a\u003E]\u003C\/p\u003E\r\n\r\n\u003Cp\u003EStudy and development of AI applications at these scales require use of the most powerful computers available. The workshop invited speakers from national laboratories who showcased supercomputing capabilities available at their facilities. These included Oak Ridge National Laboratory, Sandia National Laboratories, and Pacific Northwest National Laboratory.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe workshop hosted Georgia Tech faculty who represented the Colleges of Computing, Design, Engineering, and Sciences. Among these were workshop co-organizers\u0026nbsp;\u003Cstrong\u003EYan Wang\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EEbeneser Fanijo\u003C\/strong\u003E. Wang is a professor in the George W. Woodruff School of Mechanical Engineering and Fanjio is an assistant professor in the School of Building Construction.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe workshop welcomed academics outside of Georgia Tech to share research occurring at their institutions. These speakers hailed from Emory University, Clemson University, and the University of California, Berkeley.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EScientists are always looking for better computer models that simulate the complex systems that define our world. To meet this need, a Georgia Tech workshop held Jan. 16 illustrated how new artificial intelligence (AI) research could usher the next generation of scientific computing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe workshop focused AI technology toward optimization of complex systems. Presentations of climatological and electromagnetic simulations showed these techniques resulted in more efficient and accurate computer modeling. The workshop also progressed AI research itself since AI models typically are not well-suited for optimization tasks.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"A Georgia Tech workshop held Jan. 16 illustrated how new artificial intelligence (AI) research could usher the next generation of scientific computing."}],"uid":"36319","created_gmt":"2024-02-05 15:44:16","changed_gmt":"2024-02-14 19:55:56","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-01-31T00:00:00-05:00","iso_date":"2024-01-31T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"672950":{"id":"672950","type":"image","title":"Scientific Workshop Photo.jpg","body":null,"created":"1707147867","gmt_created":"2024-02-05 15:44:27","changed":"1707147867","gmt_changed":"2024-02-05 15:44:27","alt":"CSE Scientific AI workshop","file":{"fid":"256282","name":"Scientific Workshop Photo.jpg","image_path":"\/sites\/default\/files\/2024\/02\/05\/Scientific%20Workshop%20Photo.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/05\/Scientific%20Workshop%20Photo.jpg","mime":"image\/jpeg","size":103540,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/05\/Scientific%20Workshop%20Photo.jpg?itok=p676-LFP"}},"672951":{"id":"672951","type":"image","title":"Peng Chen workshop.jpg","body":null,"created":"1707147904","gmt_created":"2024-02-05 15:45:04","changed":"1707147904","gmt_changed":"2024-02-05 15:45:04","alt":"Peng Chen CSE AI Workshop","file":{"fid":"256283","name":"Peng Chen workshop.jpg","image_path":"\/sites\/default\/files\/2024\/02\/05\/Peng%20Chen%20workshop.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/05\/Peng%20Chen%20workshop.jpg","mime":"image\/jpeg","size":95466,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/05\/Peng%20Chen%20workshop.jpg?itok=Owko8W-g"}},"672952":{"id":"672952","type":"image","title":"Workshop group photo.jpg","body":null,"created":"1707147934","gmt_created":"2024-02-05 15:45:34","changed":"1707147934","gmt_changed":"2024-02-05 15:45:34","alt":"CSE Workshop Group Photo","file":{"fid":"256284","name":"Workshop group photo.jpg","image_path":"\/sites\/default\/files\/2024\/02\/05\/Workshop%20group%20photo.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/05\/Workshop%20group%20photo.jpg","mime":"image\/jpeg","size":199661,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/05\/Workshop%20group%20photo.jpg?itok=Q00O7wTL"}}},"media_ids":["672950","672951","672952"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/scholars-optimize-scientific-models-power-artificial-intelligence","title":"Scholars Optimize Scientific Models with the Power of Artificial Intelligence"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"}],"keywords":[{"id":"10199","name":"Daily Digest"},{"id":"187915","name":"go-researchnews"},{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"187812","name":"artificial intelligence (AI)"},{"id":"9167","name":"machine learning"},{"id":"193487","name":"complex systems"},{"id":"192863","name":"go-ai"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39541","name":"Systems"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"611216":{"#nid":"611216","#data":{"type":"news","title":"Georgia Tech Award Equips Coda\u2019s Data Center with New Supercomputer","body":[{"value":"\u003Cp\u003EA team from the Georgia Institute of Technology has received an award for $3.7 million from the National Science Foundation to help cover the cost of a new high performance computing (HPC) resource for the upcoming Coda building\u2019s data center.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe new HPC system, valued at $5.3 million, will support data-driven research in astrophysics, computational biology, health sciences, computational chemistry, materials and manufacturing, and numerous other projects. It will also be used for research that improves the energy efficiency and performance of the HPC systems themselves.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe effort was led by Srinivas Aluru, co-executive director of the Institute for Data Engineering and Science (IDEaS) and professor in the School of Computational Science and Engineering.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cThis project is exciting from many perspectives, but especially how it is pushing forward data and high performance computing research infrastructure at Georgia Tech,\u201d said Aluru. \u201cIt reflects the teamwork of dozens of faculty, and also supports the work of over 50 research scientists and 200 graduate students.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlso central to the award are Surya Kalidindi, professor in the George W. Woodruff School of Mechanical Engineering; Charles David Sherrill, professor in the School of Chemistry and Biochemistry; Deirdre Shoemaker, professor in the School of Physics, Rich Vuduc, associate professor in the School of Computational Science and Engineering, and Marilyn Wolf, professor in the School of Electrical and Computer Engineering and the Rhesa \u0022Ray\u0022 S. Farmer, Jr. Distinguished Chair in Embedded Computing Systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe system is anticipated to begin operations in 2019, and will surpass the current campus capabilities. It will be used for applications that require large memories or local storage, provide modern GPU accelerators, and large storage capacity for data and simulation results.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHPC simulations\u2014one of several uses of the new system\u2014are important for solving large-scale problems in hours or days, rather than months or years. Applications of these include detection of gravitational waves, climate models, performance of materials used in manufacturing or healthcare, and drug discovery.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe new HPC acquisition will coincide with the unveiling of an 80,000 sq.ft. data center in the new Coda building. Coda, the 21-story, 650,000 sq.ft. new addition to Technology Square, lies adjacent to the Georgia Tech campus and major fiber pathways connecting the Southeast.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cWe worked to ensure the acquisition is well-timed to be the pivotal supercomputer in the Coda data center,\u201d said Aluru.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u201cThis award is a major boon for interdisciplinary research at Georgia Tech, one that will also be a valuable addition to the HPC-based research community nationally. With Coda opening its doors soon, this supercomputer will become the premier computing resource at Georgia Tech,\u201d said Executive Vice President for Reseach Chaouki Abdallah.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIDEaS and many users of the new equipment will be based in Coda. System management will be handled by the Partnership for an Advanced Computing Environment, or PACE, also residing in Coda.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearch enabled by new system will aid several national initiatives in big data, including strategic computing, materials genome, manufacturing partnerships, NSF-supported observatories such as the LIGO gravitational wave observatory, and the South Pole neutrino observatory known as IceCube.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearchers from all levels\u2014from early career to undergraduate students\u2014will be the target of training and outreach. Several Georgia Tech researchers and partner institutions will be awarded time on the equipment based on scientific merit and on the national significance of proposed problems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne-fifth of the system capacity will be dedicated to the research activities of regional partners including minority serving institutions. Other users can participate through XSEDE, a national network of NSF supercomputers that scientists use to interactively share computing resources, data and expertise.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cHigh performance computing is a priority area for Georgia Tech. Data analysis, simulations, and computational predictive tools are essential elements of modern science, engineering and design. High performance computing is the laboratory of the 21st century,\u201d said Rafael L. Bras, provost and executive vice president for Academic Affairs and K. Harrison Brown Family Chair. \u201cIt is extremely satisfying to see a multidisciplinary team successfully work together to make this acquisition a reality. That, after all, is the spirit and culture of Coda.\u201d\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EA team from Georgia Tech has received an award for $3.7 million from the National Science Foundation to cover 70% of the cost of a new High Performance Computing resource for the upcoming Coda building\u2019s data center.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"A team from Georgia Tech has received an award for $3.7 million from the National Science Foundation to cover 70% of the cost of a new High Performance Computing resource for the upcoming Coda building\u2019s data center."}],"uid":"27343","created_gmt":"2018-09-10 15:43:53","changed_gmt":"2024-01-11 17:49:47","author":"Jennifer Salazar","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2018-09-10T00:00:00-04:00","iso_date":"2018-09-10T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"611201":{"id":"611201","type":"image","title":"IDEaS-led Team Receives MRI Award from NSF","body":null,"created":"1536592885","gmt_created":"2018-09-10 15:21:25","changed":"1537354894","gmt_changed":"2018-09-19 11:01:34","alt":"MRI Award Recipients","file":{"fid":"232846","name":"MRI_Award.jpg","image_path":"\/sites\/default\/files\/images\/MRI_Award.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/MRI_Award.jpg","mime":"image\/jpeg","size":3768690,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/MRI_Award.jpg?itok=0_O55saN"}}},"media_ids":["611201"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"187023","name":"go-data"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDr. JF Salazar\u003Cbr \/\u003E\r\nInstitute for Data Engineering and Science\u003Cbr \/\u003E\r\njsalazar@gatech.edu\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJoshua Chamot\u003Cbr \/\u003E\r\nPublic Affairs Specialist for Mathematical and Physical Sciences\u003Cbr \/\u003E\r\nNational Science Foundation\u003Cbr \/\u003E\r\nOffice of Legislative and Public Affairs\u003Cbr \/\u003E\r\n(703) 292-4489\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:jchamot@nsf.gov\u0022\u003Ejchamot@nsf.gov\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/twitter.com\/NSF_MPS\u0022\u003Ehttps:\/\/twitter.com\/NSF_MPS\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/www.facebook.com\/US.NSF\/\u0022\u003Ehttps:\/\/www.facebook.com\/US.NSF\/\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["jsalazar@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"671658":{"#nid":"671658","#data":{"type":"news","title":"CSE Graduates Join Class of 2023 at Fall Commencement Ceremonies","body":[{"value":"\u003Cp\u003EGeorgia Tech\u2019s Fall Commencement festivities are in full swing this week, and 60 School of Computational Science and Engineering (CSE) students will join their peers in the graduating class of 2023.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECSE graduates take the stage Dec. 15 at McCamish Pavilion for two ceremonies to officially \u201cget out\u201d of Tech. 17 Ph.D. graduates don their hoods at the morning Convocation while 43 M.S. graduates receive their diplomas in the afternoon.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe doctoral degree is the highest academic degree a professional can attain, requiring years of dedicated work to demonstrate mastery in their field of study. CSE doctoral graduates will pursue careers in academia, national laboratories, industry and the private sector. Ph.D. graduates include:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/bradley-baker-0\u0022\u003E\u003Cstrong\u003EBrad Baker\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;(Ph.D. CSE-CSE 2023), advised by Distinguished University Professor Vince Calhoun\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003E\u003Ca href=\u0022http:\/\/binghongchen.net\/\u0022\u003EBinghong Chen\u003C\/a\u003E\u003C\/strong\u003E\u0026nbsp;(Ph.D. ML-CSE 2023), co-advised by School of CSE Assistant Professor Chao Zhang and Adjunct Professor Le Song\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/mikhailisaev\/\u0022\u003EMikhail Isaev\u003C\/a\u003E\u003C\/strong\u003E\u0026nbsp;(Ph.D. CS-CSE 2023), advised by School of CSE Professor Rich Vuduc\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/davidkartchner.com\/\u0022\u003E\u003Cstrong\u003EDavid Kartchner\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;(Ph.D. CSE-CSE 2023), advised by Cassie Mitchell, associate professor in the Wallace H. Coulter Department of Biomedical Engineering\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/davidkartchner.com\/\u0022\u003E\u003Cstrong\u003EPatrick Lavin\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;(Ph.D. CSE-CSE 2023), advised by School of CSE Professor Rich Vuduc\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/noah-lewis-170146ab\/\u0022\u003E\u003Cstrong\u003ENoah Lewis\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;(Ph.D. CSE-CSE 2023), advised by Distinguished University Professor Vince Calhoun\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/haekyu.com\/\u0022\u003E\u003Cstrong\u003EHaekyu Park\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;(Ph.D. CS-CSE 2023), advised by School of CSE Associate Professor Polo Chau\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/alrodri.engin.umich.edu\/\u0022\u003E\u003Cstrong\u003EAlexander\u0026nbsp;Rodr\u00edguez\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;(Ph.D. CS-CSE 2023), advised by School of CSE Associate Professor B. Aditya Prakash\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/debbratasaha\/\u0022\u003E\u003Cstrong\u003EDebbrata Saha\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;(Ph.D. CSE-CSE 2023), advised by Distinguished University Professor Vince Calhoun\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/apaarshanker.org\/\u0022\u003E\u003Cstrong\u003EApaar Shanker\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;(Ph.D. CSE-CSE 2023), advised by Regents\u2019 Professor Surya Kalidindi, joint with the George W. Woodruff School of Mechanical Engineering and School of CSE\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.pranavshetty.com\/\u0022\u003EPranav Shetty\u003C\/a\u003E\u003C\/strong\u003E\u0026nbsp;(Ph.D. ML-CSE 2023), co-advised by School of CSE Assistant Professor Chao Zhang and School of Materials Science and Engineering Professor Rampi Ramprasad\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/shruti-shivakumar\/\u0022\u003E\u003Cstrong\u003EShruti Shivakumar\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;(Ph.D. CSE-CSE 2023), advised by School of CSE Regents\u2019 Professor Srinivas Aluru\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/kyle-schau-7bb00458\/\u0022\u003E\u003Cstrong\u003EKyle Schau\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;(Ph.D. CSE-AE 2023), advised by Joseph Oefelein, professor in the Daniel Guggenheim School of Aerospace Engineering\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/sites.gatech.edu\/neda-tavakoli\/home\/\u0022\u003ENeda Tavakoli\u003C\/a\u003E\u003C\/strong\u003E\u0026nbsp;(Ph.D. CS-CSE 2023), advised by School of CSE Regents\u2019 Professor Srinivas Aluru\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/people\/michael-m-thomas\u0022\u003EMichael Thomas\u003C\/a\u003E\u003C\/strong\u003E\u0026nbsp;(Ph.D. CSE-CEE 2023), advised by School of Civil and Environmental Engineering (CEE) Professor John Taylor\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/zhichao-wang-754216172\/\u0022\u003E\u003Cstrong\u003EZhichao Wang\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;(Ph.D. CSE-ME 2023), co-advised by Professor Emeritus David Rosen and Professor Shreyes Melkote, both in the George W. Woodruff School of Mechanical Engineering\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/chunxing-yin-965a9a58\/\u0022\u003EChunxing Yin\u003C\/a\u003E\u003C\/strong\u003E\u0026nbsp;(Ph.D. CS-CSE 2023), advised by School of CSE Professor Rich Vuduc\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003ETen CSE Ph.D. students completed their M.S. degree this fall, and will continue their studies at Georgia Tech. They are:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EZiqi Zhang\u003C\/strong\u003E\u0026nbsp;(M.S. CSE-CSE 2023), advised by School of CSE Assistant Professor Xiuwei Zhang\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003ETrevor McCrary\u003C\/strong\u003E\u0026nbsp;(M.S. CSE-CSE 2023), advised by School of CSE Professor Rich Vuduc\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EHaotian Sun\u0026nbsp;\u003C\/strong\u003E(M.S. CSE-CSE 2023), co-advised by School of CSE Assistant Professors Chao Zhang and Bo Dai\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EYue Yu\u003C\/strong\u003E\u0026nbsp;(M.S. CSE-CSE 2023), advised by School of CSE Assistant Professor Chao Zhang\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003ESrinivas Vivek Bokkisa\u003C\/strong\u003E\u0026nbsp;(M.S. CSE-CEE 2023), advised by School of CEE Assistant Professor Jorge Macedo\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EZefang Chen\u003C\/strong\u003E\u0026nbsp;(M.S. CSE-CEE 2023), advised by School of CEE Associate Professor Xing Xie\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EModi Zhu\u003C\/strong\u003E\u0026nbsp;(M.S. CSE-CEE 2023), advised by School of CEE Associate Professor Jingfeng Wang\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EShengjun Xi\u003C\/strong\u003E\u0026nbsp;(M.S. CSE-MATH 2023), advised by School of Earth and Atmospheric Sciences (EAS) Professor Yuhang Wang\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EFanghe Zhao\u003C\/strong\u003E\u0026nbsp;(M.S. CSE-MATH 2023), advised by School of EAS Professor Yuhang Wang\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EZhaonan Liu\u003C\/strong\u003E\u0026nbsp;(M.S. CSE-MSE 2023), co-advised by Professor Emeritus Ben Wang and Professor Chuck Zhang, both in the H. Milton Stewart School of Industrial and Systems Engineering\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EThe 33 M.S. CSE graduates represent all three Colleges of Computing, Science, and Engineering participating in Georgia Tech\u2019s CSE program. They are:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJaiveer Bhaidasna (M.S. CSE-CSE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESarthak Chaturvedi (M.S. CSE-CSE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EXiaocheng Chen (M.S. CSE-CSE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDheeraj Eidnani (M.S. CSE-CSE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJinyoung Eum (M.S. CSE-CSE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZihong Hao (M.S. CSE-CSE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOmar Jim\u00e9nez (M.S. CSE-CSE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBao Li (M.S. CSE-CSE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EQian Li (M.S. CSE-CSE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EQilin Li (M.S. CSE-CSE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHanzhang Liu (M.S. CSE-CSE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EXianyi Nie (M.S. CSE-CSE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EQianyu Sun (M.S. CSE-CSE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHo Cheong Tang (M.S. CSE-CSE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENanzhen Yan (M.S. CSE-CSE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZhenhao Jing (M.S. CSE-AE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHaojun Song (M.S. CSE-BIOL 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGuangyu Min (M.S. CSE-CEE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChenyu Wang (M.S. CSE-CEE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EXiangyu Wang (M.S. CSE-CEE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJiajie Wen (M.S. CSE-CSE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJiarui Yan (M.S. CSE-CEE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDaniel Gordon Beltran (M.S. CSE-ISYE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERuoyu Huang (M.S. CSE-ISYE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWenchao Wu (M.S. CSE-ISYE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJudu Xu (M.S. CSE-ISYE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EQianru Yu (M.S. CSE-ISYE 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChen Chen (M.S. CSE-MATH 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShichen Li (M.S. CSE-MATH 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZongrun Li (M.S. CSE-MATH 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBijie Liu (M.S. CSE-MATH 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EYifan Ma (M.S. CSE-ME 2023)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZhichao Wang (M.S. CSE-ME 2023)\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ECSE graduates take the stage Dec. 15 at McCamish Pavilion for two ceremonies to officially \u201cget out\u201d of Tech. 17 Ph.D. graduates don their hoods at the morning Convocation while 43 M.S. graduates receive their diplomas in the afternoon.\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"CSE graduates take the stage Dec. 15 at McCamish Pavilion for two ceremonies to officially \u201cget out\u201d of Tech."}],"uid":"36319","created_gmt":"2023-12-20 16:03:01","changed_gmt":"2023-12-20 16:06:00","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-12-15T00:00:00-05:00","iso_date":"2023-12-15T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"672626":{"id":"672626","type":"image","title":"Lavin and Vuduc.jpg","body":null,"created":"1703088196","gmt_created":"2023-12-20 16:03:16","changed":"1703088196","gmt_changed":"2023-12-20 16:03:16","alt":"CSE Commencement Fall 2023","file":{"fid":"255901","name":"Lavin and Vuduc.jpg","image_path":"\/sites\/default\/files\/2023\/12\/20\/Lavin%20and%20Vuduc.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/12\/20\/Lavin%20and%20Vuduc.jpg","mime":"image\/jpeg","size":154293,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/12\/20\/Lavin%20and%20Vuduc.jpg?itok=P0pNXNAp"}}},"media_ids":["672626"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"47223","name":"College of Computing"}],"categories":[{"id":"130","name":"Alumni"},{"id":"134","name":"Student and Faculty"}],"keywords":[{"id":"10199","name":"Daily Digest"},{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"76231","name":"Computational Science and Engineering"},{"id":"193354","name":"2023 Fall Commencement"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"671208":{"#nid":"671208","#data":{"type":"news","title":"Group Optimizes Fluid Dynamics Simulator on World\u2019s Fastest Supercomputer","body":[{"value":"\u003Cp\u003EFrom the sky to the sea, and even inside our bodies, a simulator from Georgia Tech is helping us better understand aerodynamic fluid flows. And thanks to Frontier, the world\u2019s fastest supercomputer, the simulator is even better.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESpencer Bryngelson\u003C\/strong\u003E\u2019s research group manages the Multi-Component Flow Code (MFC) software package. His group was one of ten teams selected by Oak Ridge Leadership Computing Facility (OLCF) to optimize their simulator in a hackathon held Oct. 31 \u2013 Nov. 3.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDuring the hackathon, the group crafted MFC to run on Frontier, the world\u2019s only exascale supercomputer. With newfound experience on Frontier, the group is poised to work with exascale machines scheduled to come online soon, like Aurora and El Capitan.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team used\u0026nbsp;\u003Ca href=\u0022https:\/\/www.olcf.ornl.gov\/calendar\/frontier-hackathon-october-2023\/\u0022\u003Ethe hackathon to refine MFC\u003C\/a\u003E, making it more capable for medical, aeronautical, and defense applications.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/mflowcode.github.io\/\u0022\u003EMFC simulates compressible multiphase flows\u003C\/a\u003E, a key issue in many engineering problems. MFC\u2019s high quality simulations help engineers improve technologies.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPotential applications include:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003ENeedle-free drug injection\u003C\/li\u003E\r\n\t\u003Cli\u003EImproved artificial heart pumps and valves\u003C\/li\u003E\r\n\t\u003Cli\u003EErosion-resistant aircraft surfaces\u003C\/li\u003E\r\n\t\u003Cli\u003EQuieter submarines\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EThese simulations require a blend of software, like MFC, and the largest supercomputers the government can bring to bear.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cMFC is a versatile solver that accounts for flavors of fluid flows like acoustics, surface tension, phase change, high Mach shock waves, and so on,\u201d said Bryngelson, an assistant professor in the School of Computational Science and Engineering (CSE).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cMFC has other tricks. We can model solid and porous materials, which have been applied to simulations of the breakup of kidney stones for new lithotripsy therapies.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBefore the hackathon, Bryngelson\u0027s group already scaled MFC to the entirety of Summit, another OLCF supercomputer. Summit is based on NVIDIA GPUs, and was the world\u0027s fastest supercomputer from November 2018 to June 2020.\u0026nbsp;Testing MFC on Frontier showed the group how the software performs at its peak on over 30,000 AMD GPUs. As a result, the group configured software to the industry\u2019s two leading hardware vendors.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDuring the hackathon, the group resolved a compiler issue that slowed performance by five times. They squashed the bug by hacking a fix in the machine bytecode.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe issue caught the attention of Cray, a manufacturer of Frontier and its compilers. The performance bug likely infests other applications using Frontier. So, MFC\u2019s experience will help Cray further study and prevent similar issues for future users.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E[Related:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/new-hardware-brings-students-closer-exascale-computing\u0022\u003ENew Hardware Brings Students Closer to Exascale Computing\u003C\/a\u003E]\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cRunning on Frontier is about discovering the most challenging engineering problems we can solve, \u201cBryngelson said. \u201cWe\u2019ve tooled MFC to perform exceptionally large simulations on the next generation of leadership-class supercomputers, like Frontier.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOak Ridge National Laboratory (ORNL) and the U.S. Department of Energy jointly operate Frontier. It jumped to first place on the\u0026nbsp;\u003Ca href=\u0022https:\/\/top500.org\/lists\/top500\/2023\/11\/highs\/\u0022\u003ETop500\u003C\/a\u003E\u0026nbsp;in June 2022 soon after becoming operational and proving its exascale capability that May. \u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFrontier can compute over one quintillion calculations in a second as an exascale supercomputer. If a person completed a simple math problem every second, that person would need 31.6 billion years to match what Frontier can do in a second.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe group accessed research scientists and engineers as mentors throughout the hackathon. Notable assistance came from Steve Abbott of Cray, Brian Cornille of AMD, and Reuben Budiardja of ORNL.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMFC stems from Bryngelson\u2019s time at Caltech, dating back to 2018. He worked on the project with Tim Colonius, and the project has collaborators around the world.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBryngelson\u2019s students maintain MFC and participated in the hackathon. These included Ph.D. students\u0026nbsp;\u003Cstrong\u003EBen Wilfong\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EAnand Radhakrishnan\u003C\/strong\u003E\u0026nbsp;and undergraduate students\u003Cstrong\u003E\u0026nbsp;Henry Le Berre\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EAnsh Gupta\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cThrough the hackathon, the group acquired an education that may not be possible otherwise. They now have experience using a specialized tool to use toward their research,\u201d Bryngelson said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cEverything we\u2019re talking about right now is very new, and there is little track record to fall back on, so we\u2019re helping find problems and hacking fixes as we go.\u201d\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpencer Bryngelson\u003C\/strong\u003E\u2019s research group manages the Multi-Component Flow Code (MFC) software package. His group was one of ten teams selected by Oak Ridge Leadership Computing Facility (OLCF) to optimize their simulator in a hackathon held Oct. 31 \u2013 Nov. 3.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDuring the hackathon, the group crafted MFC to run on Frontier, the world\u2019s only exascale supercomputer. With newfound experience on Frontier, the group is poised to work with exascale machines scheduled to come online soon, like Aurora and El Capitan.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team used\u0026nbsp;\u003Ca href=\u0022https:\/\/www.olcf.ornl.gov\/calendar\/frontier-hackathon-october-2023\/\u0022\u003Ethe hackathon to refine MFC\u003C\/a\u003E, making it more capable for medical, aeronautical, and defense applications.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Spencer Bryngelson\u2019s research group was one of ten teams selected by Oak Ridge Leadership Computing Facility (OLCF) to optimize their simulator in a hackathon held Oct. 31 \u2013 Nov. 3."}],"uid":"36319","created_gmt":"2023-11-22 13:25:27","changed_gmt":"2023-11-24 03:34:06","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-11-22T00:00:00-05:00","iso_date":"2023-11-22T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"672432":{"id":"672432","type":"image","title":"Frontier Hackathon.jpg","body":null,"created":"1700659541","gmt_created":"2023-11-22 13:25:41","changed":"1700659541","gmt_changed":"2023-11-22 13:25:41","alt":"Spencer Bryngelson group Frontier Hackathon 2023","file":{"fid":"255667","name":"Frontier Hackathon.jpg","image_path":"\/sites\/default\/files\/2023\/11\/22\/Frontier%20Hackathon.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/11\/22\/Frontier%20Hackathon.jpg","mime":"image\/jpeg","size":165565,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/11\/22\/Frontier%20Hackathon.jpg?itok=XsjF-sE_"}}},"media_ids":["672432"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/group-optimizes-fluid-dynamics-simulator-worlds-fastest-supercomputer","title":"Group Optimizes Fluid Dynamics Simulator on World\u2019s Fastest Supercomputer"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"150","name":"Physics and Physical Sciences"},{"id":"135","name":"Research"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"187915","name":"go-researchnews"},{"id":"10199","name":"Daily Digest"},{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"76231","name":"Computational Science and Engineering"}],"core_research_areas":[{"id":"39541","name":"Systems"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"671102":{"#nid":"671102","#data":{"type":"news","title":"Georgia Tech Hosts Workshop to Propel Scientific Artificial Intelligence Research","body":[{"value":"\u003Cp\u003EThe Southeast\u2019s leading scientific artificial intelligence (AI) researchers met in Atlanta for a two-day workshop to address challenges facing the field, including trust and reliability of the technology.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOak Ridge National Laboratory (ORNL) held its annual Core Universities AI Workshop at Georgia Tech Oct. 31 \u2013 Nov. 1. The workshop hosted AI experts from eight research universities, plus ORNL and the Department of Energy, to present new research and trends relevant to the field.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech\u2019s School of Computational Science and Engineering (CSE) and Institute for Data Engineering and Science (IDEaS) jointly sponsored\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/ornlaiws2023\/\u0022\u003Ethis year\u2019s workshop\u003C\/a\u003E. The workshop host rotates every year among ORNL core universities.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cParticipants gained insights into state-of-the-art AI models and methods that prioritize safety, trustworthiness, and energy efficiency,\u201d said\u0026nbsp;\u003Cstrong\u003ERamki Kannan\u003C\/strong\u003E\u0026nbsp;(Ph.D. CS 2016), a research scientist at ORNL who helped organize the workshop.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cThey also learned how to apply these models and algorithms to scientific applications, including the utilization of recent FAIR datasets and relevant policies.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003E[RELATED:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/biomedical-analytics-research-earns-team-gordon-bell-prize-nomination\u0022\u003EBiomedical Analytics Research Earns Team Gordon Bell Prize Nomination\u003C\/a\u003E]\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe workshop dealt with topics related to the large-scale application of AI. It included 12 research presentations, three keynote speeches, and two panel discussions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe workshop began a day after release of\u0026nbsp;\u003Ca href=\u0022https:\/\/www.whitehouse.gov\/briefing-room\/presidential-actions\/2023\/10\/30\/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence\/\u0022\u003EPresident Joe Biden\u2019s executive order calling for safe development and use of AI\u003C\/a\u003E. Attendees seized the moment to discuss AI safety, trustworthiness, and privacy throughout the workshop. Three talks and one of the panels focused on these topics, and speakers referenced the subjects throughout their presentations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOther talks focused on the application of AI as a tool to overcome today\u2019s most pressing scientific challenges.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETwo researchers discussed using AI to overcome climate change. Chris Reberg-Horton of North Carolina State University talked about optimizing AI for plant science. David Sholl of ORNL discussed how AI can solve decarbonization challenges.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cThe fields of AI and various science and engineering disciplines have been experiencing rapid growth independently. However, the true potential lies in the synergy between these fields, which can translate into significant societal impact,\u201d said Kannan, a Georgia Tech alumnus who studied under School of CSE Regents\u2019 Professor and Chair\u0026nbsp;\u003Cstrong\u003EHaesun Park\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cThe future workforce across disciplines will require scientists and engineers proficient in the using AI tools to enhance productivity and achieve substantial impact.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENetworking served a vital function at the workshop and collaboration was a common discussion point during and in between presentations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPresident Biden\u0027s executive order emphasizes united AI research efforts, bringing together the private sector, academia, national labs, and the government. Several speakers at the workshop echoed this collaborative approach.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EORNL\u2019s annual AI workshop is one way that national laboratories and research universities are answering that call.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EORNL maintains formal partnerships with academic institutions, which the lab refers to as its core universities. These partnerships help universities understand and address the educational needs of national laboratories and the government in training the next generation of scientists.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EORNL\u2019s core universities include Duke University, Florida State University, Georgia Tech, North Carolina State University, University of Tennessee, Vanderbilt University, University of Virginia, and Virginia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cRecent times have witnessed the profound impact of interdisciplinary research, which is often nurtured through collaborations,\u201d said Kannan, who leads ORNL\u2019s Discrete Algorithms Group.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cScientists, researchers, and academicians participating in this workshop will leverage the connections made here to shape their research and publication agendas for the coming years.\u201d\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":[{"value":"The Southeast\u2019s leading scientific artificial intelligence (AI) researchers met in Atlanta for a two-day workshop to address challenges facing the field."}],"field_summary":[{"value":"\u003Cp\u003EThe Southeast\u2019s leading scientific artificial intelligence (AI) researchers met in Atlanta for a two-day workshop to address challenges facing the field, including trust and reliability of the technology.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOak Ridge National Laboratory (ORNL) held its annual Core Universities AI Workshop at Georgia Tech Oct. 31 \u2013 Nov. 1. The workshop hosted AI experts from eight research universities, plus ORNL and the Department of Energy, to present new research and trends relevant to the field.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech Hosts Workshop to Propel Scientific Artificial Intelligence Research"}],"uid":"36319","created_gmt":"2023-11-16 14:14:44","changed_gmt":"2023-11-16 14:45:40","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-11-16T00:00:00-05:00","iso_date":"2023-11-16T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"672396":{"id":"672396","type":"image","title":"ORNL AI Workshop.jpg","body":null,"created":"1700145904","gmt_created":"2023-11-16 14:45:04","changed":"1700145904","gmt_changed":"2023-11-16 14:45:04","alt":"2023 ORNL AI Workshop","file":{"fid":"255627","name":"ORNL AI Workshop.jpg","image_path":"\/sites\/default\/files\/2023\/11\/16\/ORNL%20AI%20Workshop.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/11\/16\/ORNL%20AI%20Workshop.jpg","mime":"image\/jpeg","size":364751,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/11\/16\/ORNL%20AI%20Workshop.jpg?itok=dddbw_xH"}}},"media_ids":["672396"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/georgia-tech-hosts-workshop-propel-scientific-artificial-intelligence-research","title":""}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"},{"id":"133","name":"Special Events and Guest Speakers"}],"keywords":[{"id":"187915","name":"go-researchnews"},{"id":"10199","name":"Daily Digest"},{"id":"76231","name":"Computational Science and Engineering"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"654","name":"College of Computing"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39511","name":"Public Service, Leadership, and Policy"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"671052":{"#nid":"671052","#data":{"type":"news","title":"Three Computing Faculty Receive Google Awards for Inclusion Research","body":[{"value":"\u003Cp\u003EWith inclusion at the center of their research, three College of Computing faculty members earned one of the top honors Google awards for academic researchers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EProfessor\u0026nbsp;\u003Cstrong\u003ECarl DiSalvo\u003C\/strong\u003E\u0026nbsp;and Associate Professor\u0026nbsp;\u003Cstrong\u003EAndrea Parker\u003C\/strong\u003E\u0026nbsp;from the School of Interactive Computing and Associate Professor\u0026nbsp;\u003Cstrong\u003EPolo Chau\u003C\/strong\u003E\u0026nbsp;from the School of Computational Science and Engineering made the list of recipients for the 2023 Google Award for Inclusion Research (AIR).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGoogle AIR recognizes significant contributions in computing and technology that address the needs of historically marginalized groups. For 2023, Google sought to identify research that focused on accessibility, collaboration, collective- and society-centered AI, and the impact of AI on education. The award includes a $60,000 grant for each recipient.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWorking alongside Ph.D. student\u0026nbsp;\u003Cstrong\u003EVanessa Oguamanam\u003C\/strong\u003E, Parker seeks to develop a mobile app that helps perinatal black women handle stress management. The award will help fund a mixed-method study to evaluate the app\u0027s efficacy.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0022This award will enable me to establish new collaborations with two community partners doing vital work to address maternal health inequities within Georgia,\u0022 Parker said. \u0022Culturally relevant mental health resources are sorely lacking yet vitally needed to support a population that has disproportionately experienced social and structural stressors and mental health conditions.\u0022\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWorking with Ph.D. candidate\u0026nbsp;\u003Cstrong\u003ESara Espinosa-Milkes\u003C\/strong\u003E, DiSalvo collaborates with online resellers in co-designing speculative and applied tools and practices to enable better navigation of the algorithmic ecosystems of online second-hand economies.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDiSalvo said sites such as PoshMark, Depop, and ThredUp require resellers to navigate multiple platforms, applications, and algorithms. Their research helps resellers make sense of these technologies and construct tactics to move between these platforms.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0022The Google AIR gift is an amazing contribution and opportunity,\u0022 DiSalvo said. \u0022It provides a pathway for collaborating with colleagues at Google and much-needed support for the critical and experimental work we are trying to accomplish. It enables us to share work with researchers at Google that is participatory, critical, and grounded in humanities theories and arts methods.\u0022\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChau received the Google AIR award for his work in AI and education, that led to the creation of a unique tool called VisGrader.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EVisGrader helps instructors and students alike by automatically grading JavaScript data visualizations. The tool enhances student learning by providing immediate feedback on their designs, allowing them to improve their work iteratively.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPh.D. student\u0026nbsp;\u003Cstrong\u003EMatthew Hull\u003C\/strong\u003E\u0026nbsp;leads the project comprised of current and former teaching staff members of Georgia Tech\u0027s Data and Visual Analytics course. So far, VisGrader has auto-graded over 72,000 submissions from 4,000 students spanning four semesters since 2021.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0022I am very grateful for Google\u0027s recognition of the breakthrough research innovations at Georgia Tech and Georgia Tech\u0027s ongoing vision and efforts to broaden education access to learners around the world,\u0022 Chau said.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0022Next, we are exploring how we can extend the approach to data visualizations created in other languages and platforms and how generative AI may help provide even more informative feedback to our students.\u0022\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003ESchool of Interactive Computing Communications Officer\u0026nbsp;\u003C\/em\u003E\u003Cstrong\u003E\u003Cem\u003ENathan Deen\u003C\/em\u003E\u003C\/strong\u003E\u003Cem\u003E\u0026nbsp;and School of Computational Science and Engineering Communications Officer\u0026nbsp;\u003C\/em\u003E\u003Cstrong\u003E\u003Cem\u003EBryant Wine\u0026nbsp;\u003C\/em\u003E\u003C\/strong\u003E\u003Cem\u003Econtributed to this story. Contact Nathan Deen at ndeen6@gatech.edu. Contact Bryant Wine at bwine3@gatech.edu.\u003C\/em\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EWith inclusion at the center of their research, three College of Computing faculty members earned one of the top honors Google awards for academic researchers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EProfessor\u0026nbsp;\u003Cstrong\u003ECarl DiSalvo\u003C\/strong\u003E\u0026nbsp;and Associate Professor\u0026nbsp;\u003Cstrong\u003EAndrea Parker\u003C\/strong\u003E\u0026nbsp;from the School of Interactive Computing and Associate Professor\u0026nbsp;\u003Cstrong\u003EPolo Chau\u003C\/strong\u003E\u0026nbsp;from the School of Computational Science and Engineering made the list of recipients for the 2023 Google Award for Inclusion Research (AIR).\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"With inclusion at the center of their research, three College of Computing faculty members earned one of the top honors Google awards for academic researchers."}],"uid":"36319","created_gmt":"2023-11-14 15:28:26","changed_gmt":"2023-11-14 15:32:25","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-10-31T00:00:00-04:00","iso_date":"2023-10-31T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"672377":{"id":"672377","type":"image","title":"google_AIR_ awards story graphic_v2.jpg","body":null,"created":"1699975716","gmt_created":"2023-11-14 15:28:36","changed":"1699975716","gmt_changed":"2023-11-14 15:28:36","alt":"2023 Google AIR Award","file":{"fid":"255608","name":"google_AIR_ awards story graphic_v2.jpg","image_path":"\/sites\/default\/files\/2023\/11\/14\/google_AIR_%20awards%20story%20graphic_v2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/11\/14\/google_AIR_%20awards%20story%20graphic_v2.jpg","mime":"image\/jpeg","size":612943,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/11\/14\/google_AIR_%20awards%20story%20graphic_v2.jpg?itok=H2UqCuKj"}}},"media_ids":["672377"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/three-computing-faculty-receive-google-awards-inclusion-research","title":""}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"42901","name":"Community"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"42911","name":"Education"},{"id":"135","name":"Research"},{"id":"134","name":"Student and Faculty"}],"keywords":[{"id":"187915","name":"go-researchnews"},{"id":"10199","name":"Daily Digest"},{"id":"654","name":"College of Computing"},{"id":"2483","name":"interactive computing"},{"id":"76231","name":"Computational Science and Engineering"},{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39501","name":"People and Technology"},{"id":"39511","name":"Public Service, Leadership, and Policy"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cem\u003ESchool of Interactive Computing Communications Officer\u0026nbsp;\u003C\/em\u003E\u003Cstrong\u003E\u003Cem\u003ENathan Deen\u003C\/em\u003E\u003C\/strong\u003E\u003Cem\u003E\u0026nbsp;and School of Computational Science and Engineering Communications Officer\u0026nbsp;\u003C\/em\u003E\u003Cstrong\u003E\u003Cem\u003EBryant Wine\u0026nbsp;\u003C\/em\u003E\u003C\/strong\u003E\u003Cem\u003Econtributed to this story. Contact Nathan Deen at ndeen6@gatech.edu. Contact Bryant Wine at bwine3@gatech.edu.\u003C\/em\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"670513":{"#nid":"670513","#data":{"type":"news","title":"New Faculty Bolster School\u2019s Machine Learning, High-Performance Computing Expertise","body":[{"value":"\u003Cp\u003EFaculty growth in Georgia Tech\u2019s School of Computational Science and Engineering (CSE) continues trending upward with the addition of four new assistant professors.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBo Dai\u003C\/strong\u003E\u0026nbsp;started at Georgia Tech on May 15 and\u0026nbsp;\u003Cstrong\u003ERapha\u00ebl Pestourie\u003C\/strong\u003E\u0026nbsp;began on July 1.\u0026nbsp;\u003Cstrong\u003EKai Wang\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EHelen Xu\u003C\/strong\u003E\u0026nbsp;will join the School of CSE in Spring 2024. With these hires, the School of CSE now comprises 23 full-time faculty, 15 who are assistant professors.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBefore joining academia,\u0026nbsp;\u003Ca href=\u0022https:\/\/bo-dai.github.io\/\u0022\u003E\u003Cstrong\u003EBo Dai\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;worked as a staff research scientist at Google Brain. He will have a part-time affiliation with Google while at Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDai is the first CSE alumnus to return to the School as a faculty member. He earned his Ph.D. in computational science and engineering in 2018, studying under Professor\u0026nbsp;\u003Cstrong\u003ELe Song\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDai\u2019s research focuses on developing principled and practical machine learning (ML) techniques for real-world applications. This includes creating better reinforcement learning models and data-driven decision-making models.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cI am honored and grateful to have the privilege of returning to my alma mater as a faculty member,\u201d Dai said. \u201cI am excited to use this unique opportunity to inspire and guide the next generation of students, and to give back and contribute to Georgia Tech.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.raphaelpestourie.com\/\u0022\u003E\u003Cstrong\u003ERapha\u00ebl Pestourie\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;comes to CSE from the Massachusetts Institute of Technology (MIT), where he was a postdoctoral associate in the mathematics department. He arrives at Tech with a diverse educational background that fosters new insights for the ML field.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe earned a Ph.D. in applied mathematics and A.M. in statistics in 2020, both from Harvard University. By 2014, Pestourie attained four master\u2019s degrees in his native France.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese include degrees in physics from \u00c9cole Centrale Paris, both business and management from \u00c9cole Sup\u00e9rieure des Sciences Economiques et Commerciales (ESSEC), and nanoscience from Universit\u00e9 Paris-Saclay.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPestourie\u2019s research specialization is scientific ML and inverse design in electromagnetism.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cThe goal of my group is to create accurate models that enable previously unreachable engineering solutions via optimization. We will create scientific artificial intelligence (AI) models that efficiently combine information from data and scientific knowledge toward simulations that drive engineering discovery,\u201d said Pestourie.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cWith this research agenda, I could not find a better home than CSE\u2014the academic discipline devoted to systematic computer models to solve real-world problems.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/guaguakai.com\/\u0022\u003E\u003Cstrong\u003EKai Wang\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003Erecently earned his Ph.D. in computer science at Harvard University, as a Siebel Scholar. His expertise lies in ML and optimization, focusing on data-driven decision-making and AI for social impact.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWang\u2019s work is currently making an impact is in India. ARMMAN, a non-profit organization, is using his algorithms to connect pregnant women and mothers and their infants with health providers. This collaboration assists the organization in its mission to improve access to maternal healthcare in the country.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWang also worked with the World Wildlife Fund and Citizen of the Earth, Taiwan, toward environmental and wildlife conservation. Through this collaboration, Wang applied his ML research and multi-agent systems in satellite imaging to detect illegal factory expansion and animal poaching.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cApplying AI to create social impact is one of the greatest responsibilities and opportunities in our generation,\u201d Wang said. \u201cI am excited to work with talented students, researchers, and practitioners at Georgia Tech CSE to build reliable and scalable AI, conquer societal challenges, and make a better future together.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/itshelenxu.github.io\/\u0022\u003E\u003Cstrong\u003EHelen Xu\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;comes to Georgia Tech from Lawrence Berkely National Laboratory (LBNL) where she was the 2022 Grace Hopper Postdoctoral Scholar. She completed her Ph.D. in computer science at MIT the same year.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlong with her time at LBNL, Xu has worked with NVIDIA, Microsoft Research, and Sandia National Laboratories.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHer research examines high-performance computing (HPC), with interests in parallel computing, cache-efficient algorithms, and performance engineering.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cI joined CSE because of its research strengths in many areas of HPC, which I hope will lead to fruitful collaborations,\u201d Xu said. \u201cI was also impressed by the extensive computing resources at Georgia Tech, which will help expand and accelerate my research.\u201d\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EFaculty growth in Georgia Tech\u2019s School of Computational Science and Engineering (CSE) continues trending upward with the addition of four new assistant professors.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBo Dai\u003C\/strong\u003E\u0026nbsp;started at Georgia Tech on May 15 and\u0026nbsp;\u003Cstrong\u003ERapha\u00ebl Pestourie\u003C\/strong\u003E\u0026nbsp;began on July 1.\u0026nbsp;\u003Cstrong\u003EKai Wang\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EHelen Xu\u003C\/strong\u003E\u0026nbsp;will join the School of CSE in Spring 2024. With these hires, the School of CSE now comprises 23 full-time faculty, 15 who are assistant professors.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Faculty growth in Georgia Tech\u2019s School of Computational Science and Engineering (CSE) continues trending upward with the addition of four new assistant professors."}],"uid":"36319","created_gmt":"2023-10-19 13:31:12","changed_gmt":"2023-10-19 13:34:18","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-10-19T00:00:00-04:00","iso_date":"2023-10-19T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"672101":{"id":"672101","type":"image","title":"cse_new_faculty_fall 2023.jpg","body":null,"created":"1697722279","gmt_created":"2023-10-19 13:31:19","changed":"1697722279","gmt_changed":"2023-10-19 13:31:19","alt":"Fall 2023 New CSE Faculty","file":{"fid":"255287","name":"cse_new_faculty_fall 2023.jpg","image_path":"\/sites\/default\/files\/2023\/10\/19\/cse_new_faculty_fall%202023.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/10\/19\/cse_new_faculty_fall%202023.jpg","mime":"image\/jpeg","size":224705,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/10\/19\/cse_new_faculty_fall%202023.jpg?itok=fI_Qkbvw"}}},"media_ids":["672101"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/new-faculty-bolster-schools-machine-learning-high-performance-computing-expertise","title":""}],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"47223","name":"College of Computing"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"134","name":"Student and Faculty"}],"keywords":[{"id":"76231","name":"Computational Science and Engineering"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"668385":{"#nid":"668385","#data":{"type":"news","title":"Dataset of Committee\u0027s Public Comms Yields New Insights into Federal Reserve\u0027s Influence","body":[{"value":"\u003Cp\u003EAn investment strategy based on findings culled from a new dataset is proving that it can provide substantially better financial returns than a traditional \u201cbuy and hold\u201d approach.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe dataset compiles meeting minutes, speeches, and press conference transcripts from the Federal Open Market Committee (FOMC). It is the largest tokenized and annotated dataset of its kind.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAn investment strategy developed using the dataset predicted investment returns yielding 163.4% higher than the buy and hold method on the QQQ index fund from 2011 to 2022.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe dataset and strategy are part of\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2305.07972\u0022\u003Enew research findings from Georgia Tech\u003C\/a\u003E. The findings document the influence the FOMC has on markets and the economy through its public communications. The research is being presented this month at the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cBy understanding the impact of FOMC communications on market movements, investors can make more informed decisions, and potentially protect their portfolios from sudden downturns or capitalize on growth opportunities,\u201d said Ph.D. student and lead researcher\u0026nbsp;\u003Cstrong\u003EAgam Shah\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cAdditionally, it can help economists at the Federal Reserve Banks more efficiently understand the impact of their communication.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003E[\u003Ca href=\u0022https:\/\/sites.gatech.edu\/research\/acl-2023\/\u0022\u003EMICROSITE: Georgia Tech at ACL 2023\u003C\/a\u003E]\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe dataset contains 214 meeting minutes, 1,026 speeches, and transcripts from 63 press conferences. The meeting minutes and speeches span from January 1996 to October 2022. The press conference archive dates from April 2011 to October 2022.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo explore this heap of FOMC pronouncements, Shah and his team crafted a novel machine-learning classification task. The new task categorized statements in the dataset as hawkish, dovish, or neutral, rather than just positive, negative, or neutral.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe classification task allows computer models to understand FOMC policy stances through the language used in their correspondence. This in turn guides models to predict how markets react to communications, giving investors valuable information to form their own strategies.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cOne of the reasons our research achieved these remarkable results is because it harnesses the power of natural language processing (NLP) to systematically analyze a vast amount of data which is impractical for humans to process effectively,\u201d Shah said. \u201cThis provides a much more nuanced understanding of the market\u2019s response to FOMC communications.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShah is a Ph.D. student in the School of Computational Science and Engineering (CSE). He is advised by\u0026nbsp;\u003Cstrong\u003ESudheer Chava\u003C\/strong\u003E, a professor in the Scheller College of Business.\u0026nbsp;\u003Cstrong\u003ESuvan Paturi\u003C\/strong\u003E, a Georgia Tech alumnus and software engineer at Nasdaq eVestment, co-authored the paper with Shah and Chava.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe group will present their paper at a time when the FOMC and the Federal Reserve are in news headlines now more than ever. To curb inflation, the Fed has increased interest rates ten consecutive times from March 2022 to June 2023.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne example that inspired the group occurred during this period on Aug. 26, 2022. Here, FOMC Chair Jerome Powell gave an eight-minute speech that resulted in an almost $3 trillion decline in U.S. equity market value.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis study not only affirms that markets are reactive to words spoken through public communications but now those effects can be measured and predicted. It also provides new tools to help investors make better, more informed decisions.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cThe application of computational methods to finance and economics revolutionizes the way analysts interpret data. It enables us to handle enormous datasets and extract valuable insights that would otherwise remain hidden,\u201d Shah said.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cThis empowers decision-makers to craft strategies that are based on a deeper understanding of market dynamics, leading to potentially higher returns and more efficient financial systems.\u201d\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ENew Georgia Tech research may help investors make more informed decisions and potentially capitalize on growth opportunities. The research team has created\u0026nbsp;a dataset compiling meeting minutes, speeches, and press conference transcripts from the Federal Open Market Committee. It is the largest tokenized and annotated dataset of its kind.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"New Georgia Tech research may help investors make more informed decisions and potentially capitalize on growth opportunities."}],"uid":"32045","created_gmt":"2023-07-07 12:53:49","changed_gmt":"2023-07-12 18:09:28","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-07-07T00:00:00-04:00","iso_date":"2023-07-07T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"671125":{"id":"671125","type":"image","title":"Finance Dataset.jpeg","body":null,"created":"1688734440","gmt_created":"2023-07-07 12:54:00","changed":"1688734440","gmt_changed":"2023-07-07 12:54:00","alt":"Conceptual digital graphic depicting rising financial markets ","file":{"fid":"254132","name":"Finance Dataset.jpeg","image_path":"\/sites\/default\/files\/2023\/07\/07\/Finance%20Dataset.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/07\/07\/Finance%20Dataset.jpeg","mime":"image\/jpeg","size":52932,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/07\/07\/Finance%20Dataset.jpeg?itok=WpTrqxfh"}}},"media_ids":["671125"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"1188","name":"Research Horizons"}],"categories":[{"id":"139","name":"Business"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"131","name":"Economic Development and Policy"},{"id":"135","name":"Research"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"192824","name":"dataset"},{"id":"108691","name":"Federal Reserve"},{"id":"192825","name":"FOMC"},{"id":"11559","name":"CSE computational science engineering"},{"id":"187915","name":"go-researchnews"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Comms. Officer I\u003Cbr \/\u003E\r\nSchool of Computational Science \u0026amp; Engineering\u003Cbr \/\u003E\r\nBryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["Bryant.wine@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"668151":{"#nid":"668151","#data":{"type":"news","title":"Award-winning Computer Models Propel Research in Cellular Differentiation","body":[{"value":"\u003Cp\u003EThe discovery of nucleic acids is a recent event in the history of scientific phenomena and there is still much to learn from the enigma that is genetic code.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAdvances in computing techniques are ushering in a new age of understanding the macromolecules that form life as we know it. One Georgia Tech research group is now receiving well-deserved accolades for their applications in data science and machine learning toward single-cell omics research.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EStudents studying under\u0026nbsp;\u003Cstrong\u003EXiuwei Zhang\u003C\/strong\u003E, an assistant professor in the School of Computational Science and Engineering (CSE), received awards in April at the\u0026nbsp;\u003Ca href=\u0022https:\/\/research.gatech.edu\/data\/events\/awsom\u0022\u003EAtlanta Workshop on Single-cell Omics (AWSOM 2023)\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of CSE Ph.D. student\u0026nbsp;\u003Cstrong\u003EZiqi Zhang\u003C\/strong\u003E\u0026nbsp;received the best oral presentation award, while\u0026nbsp;\u003Cstrong\u003EMihir Birfna,\u0026nbsp;\u003C\/strong\u003Ean undergraduate student majoring in computer science, took the best poster prize.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlong with providing computational tools for biological researchers, the group\u2019s papers presented at AWSOM 2023 could benefit populations as the research could lead to improved disease detection and prevention. They can also provide a better understanding of the causes and treatments of cancer and a new ability to accurately simulate cellular processes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cI am extremely proud of the entire research group and very thankful for their work and our teamwork within our lab,\u201d said Xiuwei Zhang. \u201cThese awards are encouraging because it means we are on the right track of developing something that will contribute both to the biology community and the computational community.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZiqi Zhang presented the group\u2019s findings of their deep learning framework called\u0026nbsp;\u003Ca href=\u0022https:\/\/www.biorxiv.org\/content\/10.1101\/2023.05.01.538975v1.full\u0022\u003EscDisInFact\u003C\/a\u003E, which can carry out multiple key single-cell RNA-sequencing (scRNA-seq) tasks all at once and outperform current models that focus on the same tasks individually.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe group successfully tested scDisInFact on simulated and real Covid-19 datasets, demonstrating applicability in future studies of other diseases.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBafna\u2019s poster introduced CLARIFY, a tool that connects biochemical signals occurring within a cell and intercellular communication molecules. Previously, the inter- and intra-cell signaling were often studied separately due to the complexity of each problem.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOncology is one field that stands to benefit from CLARIFY. CLARIFY helps to understand the interactions between tumor cells and immune cells in cancer microenvironments, which is crucial for enabling the success of cancer immunotherapy.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAt AWSOM 2023, the group presented a third paper on\u0026nbsp;\u003Ca href=\u0022https:\/\/www.biorxiv.org\/content\/10.1101\/2022.10.15.512320v3\u0022\u003EscMultiSim\u003C\/a\u003E. This simulator generates data found in multi-modal single-cell experiments by modeling various biological factors underlying the generated data. It enables quantitative evaluations of a wide range of computational methods in single-cell genomics. That has been a challenging problem due to the lack of ground truth information in biology, Xiuwei Zhang said.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cWe want to answer certain basic questions in biology, like how we get these different cell types like skin cells, bone cells, and blood cells,\u201d she said. \u201cIf we understand how things work in normal and healthy cells, and compare that to the data of diseased cells, then we can find the key differences between those two and locate the genes, proteins, and other molecules that cause problems.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EXiuwei Zhang\u2019s group specializes in machine learning and optimization skills used to analyze single-cell omics data and scRNA-seq methods. Their main interest is studying mechanisms of cellular differentiation\u2014 the process when young, immature cells mature and take on functional characteristics.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EscRNA-seq is an\u0026nbsp;approach to research in molecular biology that is growing in popularity. It gives insight into the existence and behavior of different types of cells. This helps researchers understand genetic disorders, detect mechanisms that cause tumors and cancer, and develop new treatments, cures, and drugs.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf microenvironments filled with various macromolecules and genetic material are considered datasets, the need for researchers like Xiuwei Zhang and her group is obvious. These massive, complex datasets present challenges and opportunities for the group experienced in computational and biological research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECollaborating authors include School of CSE Ph.D. students\u0026nbsp;\u003Cstrong\u003EHechen Li\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EMichael Squires\u003C\/strong\u003E, School of Electrical and Computer Engineering Ph.D. student\u0026nbsp;\u003Cstrong\u003EXinye Zhao\u003C\/strong\u003E, Wallace H. Coulter Department of Biomedical Engineering Associate Professor\u0026nbsp;\u003Cstrong\u003EPeng Qiu\u003C\/strong\u003E, and\u0026nbsp;\u003Cstrong\u003EXi Chen\u003C\/strong\u003E, an assistant professor at Southern University of Science and Technology in Shenzhen, China.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe group\u2019s presentations at AWSOM 2023 exhibited how their work makes progress in biomedical research, as well as advancing scientific computing methods in data science, machine learning, and simulation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EscDisInFact is an optimization tool that can perform batch effect removal, condition-associated key gene detection, and perturbation, which is made possible by considering major variation factors in the data. Without considering all these factors, current models can only do these tasks individually. But scDisInFact can do each of these tasks better, and all at the same time.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECLARIFY delves into how cells employ genetic material to communicate internally, using gene regulatory networks (GRNs) and externally, called cell-cell interactions (CCIs). Many computational methods can infer GRNs, and inference methods have been proposed for CCIs. But until CLARIFY, a way to infer GRNs and CCIs in the same model did not exist.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EscMultiSim simulations perform closer to real-world conditions than current simulators that model only one or two biological factors. This helps researchers to realistically test their computational methods, which can guide directions for future method development.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhether they be computer scientists, biologists, or non-academics alike, the advantage of interdisciplinary and collaborative research, like Xiuwei Zhang\u2019s group, is its wide-reaching impact that advances technology to improve the human condition.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cWe\u2019re exploring the possibilities that can be realized by advanced computational methods combined with cutting-edge biotechnology,\u201d said Xiuwei Zhang. \u201cSince biotechnology keeps evolving very fast and we want to help push this further by developing computational methods, together we will propel science forward.\u201d\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":[{"value":"A New Level of Accuracy in Simulating Cellular Processes May Lead to Improved Treatments for Cancer Patients "}],"field_summary":[{"value":"\u003Cp\u003EA student research group is receiving well-deserved accolades for their applications in data science and machine learning toward single-cell omics research. Along with potentially improving disease detection and prevention, the team\u0027s work to accurately simulate cellular processes may also lead to improved treatments and better outcomes for cancer patients.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"A student research group is receiving well-deserved accolades for their applications in data science and machine learning toward single-cell omics research. "}],"uid":"32045","created_gmt":"2023-06-20 16:28:48","changed_gmt":"2023-07-12 18:08:15","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-06-21T00:00:00-04:00","iso_date":"2023-06-21T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"670997":{"id":"670997","type":"image","title":"Clarify Poster_1.jpeg","body":"\u003Cp\u003E\u003Cem\u003EMihir Bafna (right), a fourth-year undergraduate student majoring in computer science studying under School of CSE Assistant Professor Xiuwei Zhang (left), received the best poster award at AWSOM 2023 for their work on CLARIFY. (Photos by Courtesy Asset)\u003C\/em\u003E\u003C\/p\u003E\r\n","created":"1687278539","gmt_created":"2023-06-20 16:28:59","changed":"1687278539","gmt_changed":"2023-06-20 16:28:59","alt":"Mihir Bafna, a fourth-year CS major at Georgia Tech smiles for a photo with his mentor School of CSE Assistant Professor Xiuwei Zhang in front of their award-winning poster describing their latest research. (Photos by courtesy asset)","file":{"fid":"253984","name":"Clarify Poster_1.jpeg","image_path":"\/sites\/default\/files\/2023\/06\/20\/Clarify%20Poster_1_1.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/06\/20\/Clarify%20Poster_1_1.jpeg","mime":"image\/jpeg","size":130312,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/06\/20\/Clarify%20Poster_1_1.jpeg?itok=BMDPwcVB"}}},"media_ids":["670997"],"groups":[{"id":"37041","name":"Computational Science and Engineering"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"140","name":"Cancer Research"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"187915","name":"go-researchnews"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of CSE\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["Bryant.wine@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"667685":{"#nid":"667685","#data":{"type":"news","title":"Large, Interdisciplinary Class is \u2018Ramblin On\u2019 with Tech Degrees in Hand","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAnother semester is in the books for the School of Computational Science and Engineering (CSE). The term concluded on May 5 with Spring Commencement festivities as the finale to what was a spectacular 2022-2023 academic year. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u201cThis semester\u2019s graduating class embodies the diverse, interdisciplinary nature of the School of CSE,\u201d said Regents\u2019 Professor and School of CSE Chair \u003Cstrong\u003EHaesun Park\u003C\/strong\u003E. \u201cWe are immensely proud of all of this year\u2019s CSE graduates. They are innovators and problem solvers, ready to take on pressing challenges in the scientific, engineering, social, and medical fields.\u201d\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ETwo School of CSE doctoral candidates walked across the stage at Bobby Dodd Stadium to receive their degrees during the Ph.D. Ceremony.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EFor \u003Ca href=\u0022https:\/\/futianfan.github.io\/\u0022\u003E\u003Cstrong\u003ETianfan Fu\u003C\/strong\u003E\u003C\/a\u003E (Ph.D. CS 2023) and \u003Ca href=\u0022http:\/\/apaarshanker.org\/\u0022\u003E\u003Cstrong\u003EApaar Shanker\u003C\/strong\u003E\u003C\/a\u003E (Ph.D. CSE 2023), Commencement was a curtain call for years of vigorous graduate-level research, teaching assistantships and internships, and conference presentations. Fu was advised by School of CSE Adjunct Professor \u003Cstrong\u003EJimeng Sun\u003C\/strong\u003E. Shanker was advised by Regents\u2019 Professor \u003Cstrong\u003ESurya Kalidindi\u003C\/strong\u003E, joint with the George W. Woodruff School of Mechanical Engineering and School of CSE.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAt the master\u2019s ceremony, three CSE Ph.D. students received diplomas for completing M.S. degrees while in pursuit of their doctorates.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/william-kamerow-349260b1\u0022\u003E\u003Cstrong\u003EWilliam Kamerow\u003C\/strong\u003E\u003C\/a\u003E (M.S. CSE 2023) will continue research in high-performance computing, machine learning, and electric propulsion. He is advised by Professor \u003Cstrong\u003EMitchell Walker\u003C\/strong\u003E, faculty in the Daniel Guggenheim School of Aerospace Engineering and the College of Engineering\u2019s associate dean for academic affairs.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/shruti-shivakumar\u0022\u003E\u003Cstrong\u003EShruti Shivakumar\u003C\/strong\u003E\u003C\/a\u003E (M.S. CSE 2023) is near completion of her Ph.D. in which she researches performant, parallel algorithms for hypergraph analytics. She studies under School of CSE Professor \u003Cstrong\u003ESrinivas Aluru\u003C\/strong\u003E, who is also the executive director of the Institute for Data Engineering and Science (IDEaS).\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Ca href=\u0022https:\/\/ziyiyin97.github.io\/\u0022\u003E\u003Cstrong\u003EZiyi (Francis) Yin\u003C\/strong\u003E\u003C\/a\u003E (M.S. CSE 2023) will continue studying under \u003Cstrong\u003EFelix Herrmann\u003C\/strong\u003E, a joint appointment professor with the School of Earth and Atmospheric Sciences, School of Electrical and Computer Engineering, and School of CSE. Their group specializes in developing machine learning tools for seismic data acquisition, modeling, imaging, and inversion.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EJoining Kamerow, Shivakumar, and Yin are 68 CSE graduates who also completed their M.S. degrees. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAlong with students whose home unit is the School of CSE, the School also administers CSE graduate programs for students studying in 12 schools and departments spanning three colleges at Georgia Tech. These affiliations with the School of CSE demonstrate the interdisciplinary and collaborative threads inherently woven into the fabric of a Georgia Tech CSE degree.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ECollege of Computing M.S. graduates included:\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EMengzhen Chen (M.S. CSE-CS 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EYuqi Jia (M.S. CSE-CS 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EZihan Xu (M.S. CSE-CS 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EShoale Badr (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EGuanming Chen (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EJiayuan Chen (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EYi-Ming Chen (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EJin Guo (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EGautham Gururajan (M.S. CSE-CSE 2023) \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EVishal Hariharan (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EChristopher Hillenbrand (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EYung-An Hsieh (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EHuilin Jin (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EZongen Li (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EZiyan Liu (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EJonathan Nativ (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EKshitij Pisal (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EYanan Qiao (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EHaosu Ren (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EHaodan Tan (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAbhijeet Tomar (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EMayank Vanani (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EVasistha Vinod (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EYijia Wang (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EShuyang Wu (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ETianqi Xiao (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EQingrong Yang (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EZhenzi Yu (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EZiqihong Yue (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EChukang Zhong (M.S. CSE-CSE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ECSE students in home units under the College of Engineering that received M.S. degrees were:\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EYicong Fu (M.S. CSE-AE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EOojas Salunke (M.S. CSE-AE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EJiacheng Xie (M.S. CSE-AE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EJong In Bae (M.S. CSE-CEE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EYuming Chang (M.S. CSE-CEE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EZiyi Dai (M.S. CSE-CEE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EZiqi Gao (M.S. CSE-CEE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EJiaojun Liu (M.S. CSE-CEE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EMugundhan Murugesan (M.S. CSE-CEE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EHuadong Pang (M.S. CSE-CEE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ESanshrit Singhai (M.S. CSE-CEE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EXiaomeng Zhang (M.S. CSE-CEE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EZiwei Cao (M.S. CSE-ISYE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ETianyi Chai (M.S. CSE-ISYE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EDavid Giles (M.S. CSE-ISYE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ETroy Heinzmann (M.S. CSE-ISYE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EBeichen Liang (M.S. CSE-ISYE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ETianzi Ren (M.S. CSE-ISYE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EQiyang Sun (M.S. CSE-ISYE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EJunbai Tian (M.S. CSE-ISYE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ESven Voigt (M.S. CSE-ISYE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EShunxian Wang (M.S. CSE-ISYE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EJaylen Williams (M.S. CSE-ISYE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ESili Zeng (M.S. CSE-ISYE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EHanwen Zeng (M.S. CSE-ISYE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EZixi Zhao (M.S. CSE-ISYE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EYanxiang Zhou (M.S. CSE-ISYE 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EShikai Jin (M.S. CSE-ME)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EJunbo Peng (M.S. CSE-ME)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EStefan Quaadgras (M.S. CSE-ME)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThis semester, the School of Mathematics represented all M.S. CSE graduates from the College of Sciences. They were:\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAbhishek Dhawan (M.S. CSE-MATH 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAlecsander Falk (M.S. CSE-MATH 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EHao Hu (M.S. CSE-MATH 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EXuejing Ji (M.S. CSE-MATH 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EChi-Nuo Lee (M.S. CSE-MATH 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EChengzhai Wang (M.S. CSE-MATH 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EHao Wu (M.S. CSE-MATH 2023)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAnother semester is in the books for the School of Computational Science and Engineering (CSE). The term concluded on May 5 with Spring Commencement festivities as the finale to what was a spectacular 2022-2023 academic year. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Spring semester concluded on May 5 with Spring Commencement festivities as the finale to what was a spectacular 2022-2023 academic year. "}],"uid":"36319","created_gmt":"2023-05-10 13:08:42","changed_gmt":"2023-05-10 13:10:51","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-05-10T00:00:00-04:00","iso_date":"2023-05-10T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"670776":{"id":"670776","type":"image","title":"Spring 2023 photo.jpg","body":null,"created":"1683724140","gmt_created":"2023-05-10 13:09:00","changed":"1683724140","gmt_changed":"2023-05-10 13:09:00","alt":"2023 Spring Commencement","file":{"fid":"253701","name":"Spring 2023 photo.jpg","image_path":"\/sites\/default\/files\/2023\/05\/10\/Spring%202023%20photo.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/05\/10\/Spring%202023%20photo.jpg","mime":"image\/jpeg","size":270250,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/05\/10\/Spring%202023%20photo.jpg?itok=pgUK6xJa"}}},"media_ids":["670776"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"130","name":"Alumni"},{"id":"134","name":"Student and Faculty"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"129","name":"Institute and Campus"}],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"667605":{"#nid":"667605","#data":{"type":"news","title":"New Algorithm Perseveres in Search for Data Anomalies on Mars","body":[{"value":"\u003Cp\u003ESearching for evidence of life on Mars is making an impact here on Earth. One way this is being achieved is through development of data science tools successfully tested on the Mars Perseverance rover, which could be applied to interpret large, complex datasets on our own planet.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2302.07187\u0022\u003Ea recent paper\u003C\/a\u003E, a collaborative team of School of Computational Science and Engineering (CSE) researchers and NASA Jet Propulsion Laboratory (JPL) scientists introduce a design methodology, called ISHMAP, to develop new data anomaly detection models.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThough implemented on the Perseverance rover as it explores for new discoveries on the Red Planet, ISHMAP\u2019s greater impact will be its applicability for terrestrial life here at home who work in the rocketing field of scientific data science.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cWe have shown that collaboratively framing a data science problem with the relevant domain experts may be much more important than the actual data modeling when it comes to the ultimate impact of a model,\u201d said\u0026nbsp;\u003Ca href=\u0022https:\/\/www.austinpwright.com\/\u0022\u003E\u003Cstrong\u003EAustin Wright\u003C\/strong\u003E\u003C\/a\u003E, a School of CSE Ph.D. student. \u201cThat is to say, really working hard to precisely form the right question is, in many ways, more important than the model used to try and answer it.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EISHMAP stands for Iterative Semantic Heuristic Modeling of Anomalous Phenomena. In essence, ISHMAP is a process for scientists and researchers to produce natively interpretable anomaly detection models.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe framework is the culmination of more than 30 months of collaborative research between CSE and JPL through Wright\u2019s internship.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHere, the ISHMAP group partnered with the NASA team that manages Perseverance\u2019s Planetary Instrument for X-Ray Lithochemistry (PIXL) instrument, a fluorescence spectrometer that studies elemental composition data of the Martian surface.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe highlight of ISHMAP\u2019s development is a highly accurate spectral anomaly algorithm that resulted in a 93.4% accuracy rate when detecting diffraction anomalies. What started as a yearlong field deployment of the toolkit is now a regular component of the PIXL team\u2019s workflow.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn fact, more than 97 NASA and NASA-affiliated scientists around the globe currently use a visualization tool embedded with the algorithm, thus proving itself as a key contributor in finding discoveries on Mars and elsewhere in our galaxy.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cISHMAP can provide a strong structure to make sure scientists know what the model is doing and is guaranteed to be addressing something that they are interested in,\u201d Wright said. \u201cBy contributing through the whole process, they have built-in levels of trust and ownership rather than just having some extra feature foisted upon them.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cimg alt=\u0022ISHMAP2\u0022 height=\u0022478\u0022 src=\u0022https:\/\/www.cc.gatech.edu\/sites\/default\/files\/images\/general\/2023\/ISHMAP%20Flowchart%20copy.png\u0022 width=\u0022323\u0022 \/\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EOverview of how ISHMAP is used to assist in the PIXL science mission. Using this collaborative process, researchers were able to develop a novel interpretable anomaly detection model and deploy interactive visualizations within the widely used PIXLISE visual analytics program. This deployment proved to provide key insights in ongoing major scientific findings.\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe ISHMAP team joining Wright includes his advisor, School of CSE Associate Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/poloclub.github.io\/polochau\/\u0022\u003E\u003Cstrong\u003EPolo Chau\u003C\/strong\u003E\u003C\/a\u003E, as well as\u0026nbsp;\u003Cstrong\u003EAdrian Galvin\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EScott Davidoff\u003C\/strong\u003E\u0026nbsp;from JPL.\u0026nbsp;\u003Cstrong\u003EPeter Nemere\u003C\/strong\u003E, a programmer at Queensland University of Technology, also co-authored the paper.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe ISHMAP algorithm analyzes\u0026nbsp;\u003Ca href=\u0022https:\/\/www.science.org\/doi\/full\/10.1126\/sciadv.abp9084\u0022\u003Eanomalies in crystal structure\u003C\/a\u003Es. These reveal aspects of geological and geochemical history that indicate suitability of life, such as past presence of water and essential minerals. This is a specific component of the PIXL instrument that searches for elemental traces of ancient microbial life on Mars in datasets collected in surveys, scans, and samples.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs scientific datasets grow larger and more complex, so too do the methods used to find anomalies. Existing anomaly detection research primarily relies on deep learning methods, but these tend to lack nuance and interpretability, which are vital to scientific inquiry.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EISHMAP bridges methodologies from artificial intelligence (AI) and human-computer interaction (HCI) into a framework for scientific researchers to use in designing more effective and interpretable anomaly detection tools.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAn important early stage in the ISHMAP process was an 18-month-long formative design study between the ISHMAP group and NASA\u2019s PIXL team. This defined the design goals needed to enhance PIXL.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo accomplish its mission, PIXL needed an algorithm that focused on raw data over processed data, robustness to operate under a limited amount of ground truth data, and enhanced ability to interpret and differentiate different kinds of anomalies.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBuy-in from users proved to be a key step in the early stages of the methodology to understand research problems and to integrate with existing model techniques. This way, ISHMAP produces an effective anomaly detection algorithm custom made to meet end-user needs.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo help spread the word about ISHMAP and attract more scientific users, Wright represented the group by presenting their research at the 28th Annual Conference on Intelligent User Interfaces (\u003Ca href=\u0022https:\/\/iui.acm.org\/2023\/call_for_papers.html\u0022\u003EIUI 2023\u003C\/a\u003E).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAn Association for Computing Machinery conference held March 27 \u2013 31 in Sydney, IUI 2023 is a premier international forum reporting outstanding research at the intersection of HCI and AI to further develop user interfaces.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cI think that researchers can consider using ISHMAP simply because these kinds of collaboration between data scientists and domain scientists are difficult,\u201d Wright said. \u201cA resource like ISHMAP can give structure to both parties, and make the whole process easier and more likely to result in good science.\u201d\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EIn\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2302.07187\u0022\u003Ea recent paper\u003C\/a\u003E, a collaborative team of School of Computational Science and Engineering researchers and NASA Jet Propulsion Laboratory scientists introduce a design methodology, called ISHMAP, to develop new data anomaly detection models.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Methodology implemented on Marse Rover will have applications in scientific data science.  "}],"uid":"32045","created_gmt":"2023-05-02 14:36:58","changed_gmt":"2023-05-02 14:40:26","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-04-30T00:00:00-04:00","iso_date":"2023-04-30T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"670712":{"id":"670712","type":"image","title":"perserverence_story graphic.v2 copy_0.jpg","body":null,"created":"1683038261","gmt_created":"2023-05-02 14:37:41","changed":"1683038261","gmt_changed":"2023-05-02 14:37:41","alt":"Illustration of Perseverance rover on Mars","file":{"fid":"253624","name":"perserverence_story graphic.v2 copy_0.jpg","image_path":"\/sites\/default\/files\/2023\/05\/02\/perserverence_story%20graphic.v2%20copy_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/05\/02\/perserverence_story%20graphic.v2%20copy_0.jpg","mime":"image\/jpeg","size":82844,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/05\/02\/perserverence_story%20graphic.v2%20copy_0.jpg?itok=NQH8sC1t"}}},"media_ids":["670712"],"groups":[{"id":"37041","name":"Computational Science and Engineering"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"136","name":"Aerospace"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39541","name":"Systems"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine Communications Officer I School of Computational Science \u0026amp; Engineering\u0026nbsp;bryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["bryant.wine@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"667545":{"#nid":"667545","#data":{"type":"news","title":"Power of People Recognized at College, Institute Awards Ceremonies","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ECollege of Computing Dean Charles Isbell has a saying that summarizes everything anyone needs to know about the College: \u201cOur strength is, and always will be, our people.\u201d\u0026nbsp; \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ETo recognize its meritorious people from the 2022-2023 academic year, the unit hosted its 32nd Annual College of Computing Awards luncheon on April 20.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EBetween the luncheon and other award presentations elsewhere at Georgia Tech, the School of Computational Science and Engineering (CSE) exemplified Isbell\u2019s words, showing that people make all the difference when it comes to leading technological research. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThis was most evident through School of CSE Assistant Professor \u003Cstrong\u003ESrijan Kumar\u003C\/strong\u003E, who took the James D. Lester III Endowment Award, which is one of the most prestigious College awards and presented for noteworthy research in internet phenomena. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThe Lester Award was an exclamatory end to a monumental year for Kumar. The award presentation comes just a month after Kumar received an \u003Ca href=\u0022https:\/\/cse.gatech.edu\/news\/667341\/faculty-receives-nsf-career-award-detect-and-counter-social-media-misinformation\u0022\u003ENational Science Foundation (NSF) CAREER Award\u003C\/a\u003E and the National Academy of Science named him a Kavli Fellow for the second time in back-to-back years.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EKumar is just as much a caring mentor and educator just as he is an accomplished researcher. In September 2022, he received a Georgia Tech Center for Teaching and Learning (CTL) Thank-a-Teacher award for his CSE 6240 course in web search and text mining.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EKumar was not the only School of CSE person recognized at the College\u2019s award luncheon. Fellow CSE students, faculty, and staff that received awards included:\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003EPh.D. student \u003Cstrong\u003ERuijia Wang\u003C\/strong\u003E- Outstanding Graduate Head Teaching Assistant Award\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003EPh.D. student \u003Cstrong\u003EAgam Shah-\u003C\/strong\u003E Rising Star Doctoral Research Award\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003EAlumnus \u003Cstrong\u003ENilaksh Das \u003C\/strong\u003E(M.S. CSE 2017, Ph.D. CSE 2022)- Outstanding Doctoral Dissertation Award\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003EM.S. student \u003Cstrong\u003EAlex Yang\u003C\/strong\u003E- Donald V. Jackson Fellowship Award\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003EM.S. student \u003Cstrong\u003EYingchen (Eric) Ma\u003C\/strong\u003E- Marshall D. Williamson Fellowship Award\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EQi Zeng\u003C\/strong\u003E, an undergraduate student advised by Assistant Professors \u003Cstrong\u003ESpencer Bryngelson\u003C\/strong\u003E and \u003Cstrong\u003E\u003Cspan\u003EFlorian\u003C\/span\u003E\u003C\/strong\u003E \u003Cstrong\u003E\u003Cspan\u003ESch\u00e4fer\u003C\/span\u003E\u003C\/strong\u003E- Outstanding Undergraduate Research Award\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EPratham Meta\u003C\/strong\u003E, an undergraduate student in Associate Professor \u003Cstrong\u003EPolo Chau\u2019s\u003C\/strong\u003E research group- Outstanding Second Year Leadership Award\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003EProfessor \u003Cstrong\u003ESrinivas Aluru\u003C\/strong\u003E- Outstanding Faculty Leadership Award\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003EPostdoctoral Scholar \u003Cstrong\u003EDaniel Gibney\u003C\/strong\u003E- Outstanding Postdoctoral Research Award\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003ERobert Donaldson\u003C\/strong\u003E, a teaching assistant in Chau\u2019s CSE 6242 Data and Visual Analytics class- Outstanding Instructional Associate Award\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003ECommunications Officer \u003Cstrong\u003EBryant Wine\u003C\/strong\u003E- Outstanding Staff Impact Award\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThe College of Computing awards luncheon was not the only venue on Georgia Tech\u2019s campus where School of CSE people received awards and recognition this year.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EKevin Li\u003C\/strong\u003E, an undergraduate student in Chau\u2019s research group, received the Provost\u2019s Academic Excellence Award. Li also received the G.D. Jain Outstanding Senior in Biomedical Engineering Award.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EWith a number of students from his group earning awards, Chau was also recognized for his work this year. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EChau received the Senior Faculty Outstanding Undergraduate Research Mentor Award at Georgia Tech\u2019s \u003Ca href=\u0022https:\/\/news.gatech.edu\/news\/2023\/04\/21\/excellence-honored-annual-facultystaff-luncheon\u0022\u003EFaculty and Staff Honors Luncheon\u003C\/a\u003E on April 21. The College of Computing also recognized Chau at its awards presentation for reaching ten years of service.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAnother Institute award presented to CSE faculty was the Faculty Honors Class of 1940 W. Roane Beard Outstanding Teacher Award. Georgia Tech awarded this to Lecturer \u003Cstrong\u003EMax Mahdi Roozbahani\u003C\/strong\u003E.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ESchool of CSE faculty and students also received awards off-campus from organizations closely aligned with relevant research fields.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThe most recent and prominent of these was an \u003Ca href=\u0022https:\/\/www.amazon.science\/research-awards\/program-updates\/79-amazon-research-awards-recipients-announced\u0022\u003EAmazon Research Award\u003C\/a\u003E, presented to School of CSE Assistant Professor \u003Cstrong\u003EYunan Luo\u003C\/strong\u003E. This award will help Luo advance his research in computational biology and medicine, while also developing machine learning (ML) and artificial intelligence (AI) applications for use in other fields.\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ESchool of CSE Associate Professor \u003Cstrong\u003EElizabeth Cherry\u003C\/strong\u003E was part of a research team that received the \u003Ca href=\u0022https:\/\/research.gatech.edu\/georgia-tech-and-emory-researchers-win-award-arrhythmia-research\u0022\u003E2023 Georgia Clinical \u0026amp; Translational Science Alliance Award\u003C\/a\u003E. School of Physics Professor \u003Cstrong\u003EFlavio Fenton\u003C\/strong\u003E, a CSE programs faculty member, led the group in research to better understand arrhythmias in human hearts.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EC. David Sherrill\u003C\/strong\u003E, a Regents\u2019 professor with joint appointments in the School of Chemistry and Biochemistry and the School of CSE, received the \u003Ca href=\u0022https:\/\/cos.gatech.edu\/news\/american-chemical-society-presents-2023-herty-medal-chemists-chemist-david-sherrill\u0022\u003E2023 Charles H. Herty Award\u003C\/a\u003E. Awarded by the Georgia Section of the American Chemical Society, the Herty Award recognizes research, education, and service activities in the Southeast by a chemist.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EWhile awards presentations commonly occur at the end of spring semester throughout Georgia Tech, numerous School of CSE students and faculty received notable awards earlier in the year.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EProfessor \u003Cstrong\u003ESrinivas Aluru\u003C\/strong\u003E joined Kumar as School of CSE faculty who received a CTL Thank-A-Teacher award in September 2022. Aluru received two of these awards for his CSE 4220 Introduction to High Performance Computing course.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EA research team that included School of CSE faculty, students, and alumni were finalists for the \u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/news\/663235\/biomedical-analytics-research-earns-team-gordon-bell-prize-nomination\u0022\u003EGordon Bell Prize\u003C\/a\u003E\u003Cspan\u003E\u003Cspan\u003E,\u003C\/span\u003E\u003C\/span\u003E presented at the International Conference for High Performance Computing, Networking, Storage, and Analysis in November 2022. These included Professor \u003Cstrong\u003ERich Vuduc\u003C\/strong\u003E, Ph.D. student \u003Cstrong\u003EVijay Thakkar\u003C\/strong\u003E, and alumni \u003Cstrong\u003ERamakrishnan Kannan\u003C\/strong\u003E (Ph.D. CS 2016) and \u003Cstrong\u003EPiyush Sao\u003C\/strong\u003E (Ph.D. CSE 2018).\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ESchool of CSE faculty and students also received distinguished fellowships in 2022-2023 worthy of recognition.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EIn November 2022, School of CSE Assistant Professor \u003Cstrong\u003EAnqi Wu\u003C\/strong\u003E was recognized as a \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/researchers-recognized-darpa-risers\u0022\u003EDARPA Riser\u003C\/a\u003E. She followed this up in March 2023 receiving the \u003Ca href=\u0022https:\/\/cse.gatech.edu\/news\/665896\/anqi-wu-awarded-2023-sloan-research-fellowship\u0022\u003ESloan Research Fellowship\u003C\/a\u003E.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EML Ph.D. student \u003Cstrong\u003EZijie (Jay) Wang\u003C\/strong\u003E also received a fellowship in March, the prestigious \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/student-named-apple-scholar-connecting-people-machine-learning\u0022\u003EApple Scholars in AI\/ML PhD fellowship\u003C\/a\u003E. Wang was one of only 22 young researchers from around the world to the receive the fellowship.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ELast but certainly not least, School of CSE Ph.D. student \u003Cstrong\u003EGaurav Verma\u003C\/strong\u003E received a \u003Ca href=\u0022https:\/\/research.snap.com\/fellowships.html\u0022\u003ESnap Research Fellowship\u003C\/a\u003E in December 2022. Only 12 computer science students from around the world, including Verma, received this fellowship.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u201cIt is an honor to celebrate the accomplishments this year by all our students, faculty, and staff. Our award recipients have much to be proud of,\u201d said \u003Cstrong\u003EHaesun Park\u003C\/strong\u003E, School of CSE Regents\u2019 Professor and chair. \u201cWe are privileged to have so many esteemed colleagues, students, and staff in our School.\u201d\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ESchool of CSE students, faculty, and staff exemplify\u0026nbsp;Dean Charles Isbell\u0027s saying, \u0022our strength is, and always will be, our people.\u0022\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE students, faculty, and staff exemplify\u00a0Dean Charles Isbell\u0027s saying, \u0022our strength is, and always will be, our people.\u0022"}],"uid":"36319","created_gmt":"2023-04-27 16:52:56","changed_gmt":"2023-04-27 16:55:32","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-04-27T00:00:00-04:00","iso_date":"2023-04-27T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"}],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"667348":{"#nid":"667348","#data":{"type":"news","title":"Coaching Tool Guides Rejected Loan Applicants Toward Better Outcomes","body":[{"value":"\u003Cp\u003EA new web-based tool is set to provide people with unprecedented visibility into the machine learning models that are used to make high-stakes decisions impacting their daily lives.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDeveloped at Georgia Tech, GAM Coach is the first interactive tool of its kind to give people with rejected loan applications the power to personalize recourse options that are realistically actionable to help ensure a better outcome in the future.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EExisting machine learning (ML) models generate recourse options based on fixed assumptions about a broad spectrum of people. GAM Coach, however, lets users iteratively adjust loan application features, such as loan amount, payment terms, credit score, homeownership status, and more, based on their personal preferences. \u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cWe can\u2019t assume that developers can make the best decisions for everyone,\u201d said Zijie (Jay) Wang, lead researcher and a Ph.D. student in Georgia Tech\u2019s School of Computational Science and Engineering (CSE).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cOur goal is to give agency to the end user, so we developed GAM Coach to give people actionable recourse in scenarios like loan applications.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGAM Coach lets users exercise this agency by developing up to five recourse plans at a time. They can customize each iteration by adjusting sliders to set acceptable ranges for loan amount, revolving balance, and similar variable features. Emojis with related text like, \u201c\u2639\u0026nbsp;Very hard to change\u201d, are used to set difficulty levels for features that might be easier or harder to change depending on the individual.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe open-source tool is designed to let users \u201cplay around,\u201d says Wang, to see how adjusting one feature can impact the model\u2019s prediction. \u2019What if I raise my FICO score 10 points?\u2019 \u2018What if I reduce the loan amount?\u2019 \u2018What if I had 10% less debt?\u2019\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cNot every option is actionable for every person, but by allowing users to interact directly with their variable preferences, GAM Coach can find the minimal number of changes an individual needs to increase the likelihood of being approved for a loan,\u201d said Wang, a\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/student-named-apple-scholar-connecting-people-machine-learning\u0022\u003Erecipient of the 2023 Apple Scholars in AI\/ML PhD fellowship\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf the initial five plans aren\u2019t satisfactory, users can continue to iteratively fine-tune their recourse options until they find a plan that best meets their needs.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo build a tool that can generate personalized recourse options that are realistically actionable, Wang and his collaborators first developed an innovative new linear integer algorithm and an easy-to-use interactive data visualization interface. These were paired and then put under the hood of a generalized additive model (GAM) to create GAM Coach.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGAMs are relatively common predictive ML models that are well-suited for determining optimal solutions. They\u2019re also known for their simplicity and transparency, which is a big reason why Wang turned to the model for this work.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cUltimately, we want to\u0026nbsp;make artificial intelligence and machine learning systems more transparent and understandable for non-technical users so, we wanted GAM Coach to be a glass box rather than a black box tool,\u201d said Wang.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cWe want people to be able to understand how and why a machine learning model makes a certain decision. We tailored our algorithm to integrate into a GAM because it is highly accurate, we know how it works, and we know how exactly how it makes predictions.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWang and his collaborators conducted an online user study of GAM Coach as part of the project. The team examined user logs from 41 Amazon Mechanical Turk workers to determine how everyday users would interact with the tool. The workers were presented with different loan scenarios and challenges, and then asked to use the tool to find recourse options that met their needs.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlong with a few minor usability issues, the researchers found that that personalized recourse plans are preferred over generic plans. They also found that users had a deeper understanding of how a decision was made and what they could do to change the outcome in the future.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDespite the success of the tool so far, Wang says his team would need input from financial and legal experts before GAM Coach could be used in the real world. However, a demo and the code are available.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cDevelopers can also use our flexible Python library (`pip install gamcoach`) to generate recourse plans for GAMs,\u201d said Wang,\u0026nbsp;who is advised by School of CSE Associate Professor Polo Chau.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe is the lead author of\u0026nbsp;\u003Cem\u003EGAM Coach: Towards Interactive and User-centered Algorithmic Recourse\u003C\/em\u003E. The paper has been accepted and is being presented at the\u0026nbsp;\u003Ca href=\u0022https:\/\/chi2023.acm.org\/\u0022\u003E2023 ACM CHI Conference on Human Factors in Computing Systems\u003C\/a\u003E\u0026nbsp;later this month in Hamburg, Germany.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":[{"value":"CSE Ph.D. student combines machine learning and data visualization to improve AI transparency"}],"field_summary":[{"value":"\u003Cp\u003EDeveloped at Georgia Tech, GAM Coach is the first interactive tool of its kind to give people with rejected loan applications the power to personalize recourse options that are realistically actionable to help ensure a better outcome in the future.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"New tool is the first of its kind to let everyday people create recourse strategies tailored to their unique needs. "}],"uid":"32045","created_gmt":"2023-04-14 14:34:58","changed_gmt":"2023-04-17 14:58:41","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-04-17T00:00:00-04:00","iso_date":"2023-04-17T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"670547":{"id":"670547","type":"image","title":"loan_rejection image.jpg","body":null,"created":"1681482906","gmt_created":"2023-04-14 14:35:06","changed":"1681482906","gmt_changed":"2023-04-14 14:35:06","alt":"Stock image of young couple looking troubled with bills spread across the wooden floor","file":{"fid":"253428","name":"loan_rejection image.jpg","image_path":"\/sites\/default\/files\/2023\/04\/14\/loan_rejection%20image.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/04\/14\/loan_rejection%20image.jpg","mime":"image\/jpeg","size":144585,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/04\/14\/loan_rejection%20image.jpg?itok=aL0JS6sT"}},"670548":{"id":"670548","type":"image","title":"zijie-jay-wang-portrait.jpeg","body":"\u003Cp\u003EZijie (Jay) Wang is a Ph.D. student in Georgia Tech\u2019s School of Computational Science and Engineering (CSE).\u0026nbsp;\u003C\/p\u003E\r\n","created":"1681483036","gmt_created":"2023-04-14 14:37:16","changed":"1681483036","gmt_changed":"2023-04-14 14:37:16","alt":"Zijie (Jay) Wang, lead researcher and a Ph.D. student in Georgia Tech\u2019s School of Computational Science and Engineering (CSE).","file":{"fid":"253429","name":"zijie-jay-wang-portrait.jpeg","image_path":"\/sites\/default\/files\/2023\/04\/14\/zijie-jay-wang-portrait.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/04\/14\/zijie-jay-wang-portrait.jpeg","mime":"image\/jpeg","size":161149,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/04\/14\/zijie-jay-wang-portrait.jpeg?itok=mvUmNa1L"}}},"media_ids":["670547","670548"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"135","name":"Research"}],"keywords":[{"id":"2556","name":"artificial intelligence"},{"id":"9167","name":"machine learning"},{"id":"192525","name":"GAM Coach"},{"id":"192526","name":"algorithmic recourse"},{"id":"11559","name":"CSE computational science engineering"},{"id":"187915","name":"go-researchnews"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBen Snedeker\u003Cbr \/\u003E\r\nCommunications Manager\u003Cbr \/\u003E\r\nCollege of Computing\u003Cbr \/\u003E\r\n\u003Ca href=\u0022albert.snedeker@cc.gatech.edu\u0022\u003Ealbert.snedeker@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"667341":{"#nid":"667341","#data":{"type":"news","title":"Faculty Receives NSF CAREER Award to Detect and Counter Social Media Misinformation","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EOnline misinformation makes social media platforms both unpleasant and unsafe for users. Now, with a National Science Foundation (NSF) CAREER award in hand, a Georgia Tech researcher is poised to help social media platforms and users alike better detect misinformation and curb its spread.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~srijan\/\u0022\u003ESrijan Kumar\u003C\/a\u003E\u003C\/strong\u003E, an assistant professor in the School of Computational Science and Engineering (CSE), received the prestigious award for early-career faculty to advance his research interests in information security and web integrity.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EKumar\u2019s NSF CAREER award will fund research to invent methods that both detect and counter misinformation on social media platforms. Not only is this award an achievement for Kumar, but it could also be a victory for internet users who face the perils of online misinformation.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u201cThis award will enable research that has the potential to improve how lay social media users interact with and counteract online misinformation,\u201d said Kumar. \u201cThe work will boost information literacy in society and has the potential to reduce the number of people exposed to misinformation.\u201d \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EKumar points out that addressing misinformation at scale remains a pressing challenge, especially for platforms that use professional fact-checkers and moderators. According to one of Kumar\u2019s previous studies, 96% of counter-responses to misinformation originated from lay users rather than fact-checkers.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ERealizing the potential for internet users themselves to regulate misleading content on platforms they frequently visit, Kumar\u2019s NSF CAREER award proposal presents a three-pronged approach to empower people with the ability to detect and counter misinformation.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EFirst, Kumar\u2019s research group will develop new, robust detection models that identify potentially non-credible information by leveraging user-generated responses in social media posts. The team will employ signed graph neural network models in this endeavor to better detect misinformation on social media platforms. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ENext, Kumar\u2019s team will create methods to enhance model robustness against adversarial behavior.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EKumar explained in his CAREER award proposal that one challenge in detecting and correcting misinformation is social media adversaries use many accounts to inject fake responses to a post. This behavior can fool existing detection models into classifying misinformation as true and vice versa, hence the need for newer, stronger tools.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EFocusing on robustness is a measure to prevent existing and future models from falling for adversarial tactics. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EFinally, the team will design a counter-response generation tool that can help internet users effectively respond to misinformation. This tool will incorporate existing fact-checking resources and best practices to suggest possible responses to misleading social media posts.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EUsers by themselves do not counter misinformation efficiently. Kumar found in past research that two-thirds of counter responses are uncivil, rude, and unsupported by evidence. This tool would help users counter misinformation in ways that are effective, not just efficient.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThe goal is to boost information literacy in society and reduce the number of people exposed to harmful misinformation. Kumar\u2019s tools help users on social media reach that goal by detecting misinformation and generate counter-responses that are also robust against adversarial tactics. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EFor Kumar himself though, the NSF CAREER award is another addition to the rising faculty\u2019s growing list of accolades. In March, the National Academy of Sciences named Kumar a Kavli Fellow, his second in back-to-back years. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EFor his recent research endeavors, the Association for the Advancement of Artificial Intelligence invited Kumar to present this year as part of its 37th annual conference and New Faculty Highlights program.\u0026nbsp; \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ELast year, Forbes named Kumar in their \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/work-limiting-internet-fraud-lands-assistant-professor-prestigious-forbes-list\u0022\u003E30 under 30 list of 2022\u003C\/a\u003E. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u201cI am honored to receive this award from the National Science Foundation,\u201d Kumar said. \u201cThis award is made possible due to the support of my students and collaborators, and it builds on work that has previously been funded by NSF, DARPA (Defense Advanced Research Projects Activity), Centers for Disease Control and Prevention, and industries.\u201d\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003ESrijan Kumar\u003C\/strong\u003E, an assistant professor in the School of Computational Science and Engineering (CSE), received the prestigious NSF CAREER award for early-career faculty to advance his research interests in information security and web integrity.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE Assistant Professor Srijan Kumar receives a NSF CAREER award"}],"uid":"36319","created_gmt":"2023-04-14 13:47:31","changed_gmt":"2023-04-14 13:49:59","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-04-14T00:00:00-04:00","iso_date":"2023-04-14T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"670542":{"id":"670542","type":"image","title":"Srijan October photo copy.jpg","body":null,"created":"1681480082","gmt_created":"2023-04-14 13:48:02","changed":"1681480082","gmt_changed":"2023-04-14 13:48:02","alt":"Srijan Kumar October 2022","file":{"fid":"253423","name":"Srijan October photo copy.jpg","image_path":"\/sites\/default\/files\/2023\/04\/14\/Srijan%20October%20photo%20copy.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/04\/14\/Srijan%20October%20photo%20copy.jpg","mime":"image\/jpeg","size":64999,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/04\/14\/Srijan%20October%20photo%20copy.jpg?itok=6_tdsNAG"}}},"media_ids":["670542"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"}],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"666660":{"#nid":"666660","#data":{"type":"news","title":"Student Named as Apple Scholar for Connecting People with Machine Learning","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003EA Georgia Tech Ph.D. student has been selected as an Apple Scholar for work done to ensure machine learning (ML) systems are easy to use and understand for researchers, developers, and everyday end-users.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003EZijie Jay Wang is a recipient of the\u0026nbsp;\u003Ca href=\u0022https:\/\/machinelearning.apple.com\/updates\/apple-scholars-aiml-2023\u0022\u003E\u003Cstrong\u003E2023 Apple Scholars in AI\/ML PhD fellowship\u003C\/strong\u003E\u003C\/a\u003E. The fellowship recognizes the success of Wang\u2019s research efforts to make artificial intelligence (AI) and ML systems more transparent and accessible.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003EAs the power and complexity of these systems continue to advance at breakneck speed, his advisor says Wang\u2019s work is vitally important.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u201cJay\u0027s research connects humans and ML systems. His work on easy-to-use and interactive interfaces is crucial to making ML more interpretable, accessible, and reliable,\u201d said Polo Chau, School of Computational Science and Engineering associate professor.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003ETo help people better connect with these systems, Wang leverages his expertise, not only in ML, but also in data visualization. He\u2019s developed several interactive visualization tools that are designed to help technical and nontechnical people understand deep learning, neural networks, and other ML-related topics. These include:\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Ca href=\u0022http:\/\/poloclub.github.io\/cnn-explainer\/\u0022 target=\u0022_blank\u0022 title=\u0022http:\/\/poloclub.github.io\/cnn-explainer\/\u0022\u003E\u003Cstrong\u003ECNN Explainer\u003C\/strong\u003E\u003C\/a\u003E,\u0026nbsp;an open-source tool developed for deep-learning beginners. Since its release in July 2020, more than 180,000 global visitors have used the tool.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Ca href=\u0022https:\/\/interpret.ml\/gam-changer\/\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/interpret.ml\/gam-changer\/\u0022\u003E\u003Cstrong\u003EGAM Changer\u003C\/strong\u003E\u003C\/a\u003E, which\u0026nbsp;empowers users in healthcare, finance, or other domains to edit ML models to include knowledge and values specific to their domain, which improves reliability. This tool won a best paper award at the 2021\u0026nbsp;Conference on Neural Information Processing Systems. It has also been integrated into Microsoft\u0027s Interoperability Library.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Ca href=\u0022https:\/\/poloclub.github.io\/diffusiondb\/\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/poloclub.github.io\/diffusiondb\/\u0022\u003E\u003Cstrong\u003EDiffusionDB\u003C\/strong\u003E\u003C\/a\u003E,\u0026nbsp;a first-of-its-kind large-scale dataset that lays a foundation to help people better understand generative AI. This work could lead new research in detecting deepfakes\u0026nbsp;and designing human-AI interaction tools to help people more easily use these models.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003EBuilding upon his success, Wang has two accepted papers at the upcoming ACM CHI Conference on Human Factors in Computing Systems.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003EOne of these,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.jennwv.com\/papers\/gamcoach.pdf\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EGAM Coach: Towards Interactive and User-centered Algorithmic Recourse\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E, describes an interactive ML tool that could be used to help people who have been rejected for a loan by automatically letting an applicant know what\u2019s needed for them to receive loan approval.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003EThe Apple Scholars in AI\/ML PhD fellowship program will enable Wang to explore more work like this, as well as more high-risk\/high-reward research opportunities.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u201cIt is a tremendous privilege to be awarded this fellowship, and I am excited about the opportunity to collaborate with researchers at Apple in my research projects. By partnering with Apple researchers, I believe it will greatly amplify real-world applicability and impacts of my work,\u201d said Wang.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003EThis is not the first time Wang has been recognized with a high-profile fellowship. He was recognized last year as a\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/georgia-tech-machine-learning-students-earn-jp-morgan-ai-phd-fellowships\u0022\u003E\u003Cstrong\u003Erecipient of the 2022 J.P. Morgan AI Ph.D. Fellowship\u003C\/strong\u003E\u003C\/a\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ESchool of Computational Science and Engineering Ph.D. student Jay Wang\u0026nbsp;is a recipient of the\u0026nbsp;2023 Apple Scholars in AI\/ML PhD fellowship.\u0026nbsp;The annual fellowship recognizes graduate- and postgraduate-level computer science and engineering researchers that are leading the way through innovative research.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE Ph.D. student Jay Wang is using his expertise in machine learning and data visualization to improve accessibility and transparency in ML systems."}],"uid":"32045","created_gmt":"2023-03-20 13:21:58","changed_gmt":"2023-04-06 16:15:23","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-03-24T00:00:00-04:00","iso_date":"2023-03-24T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"670466":{"id":"670466","type":"image","title":"CSE-Ph.d.-student-zijie-jay-wang-portrait","body":null,"created":"1680797613","gmt_created":"2023-04-06 16:13:33","changed":"1680797613","gmt_changed":"2023-04-06 16:13:33","alt":"A photo headshot of Georgia Tech Ph.D. student Jay Wang","file":{"fid":"253327","name":"zijie-jay-wang-portrait.jpg","image_path":"\/sites\/default\/files\/2023\/04\/06\/zijie-jay-wang-portrait.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/04\/06\/zijie-jay-wang-portrait.jpg","mime":"image\/jpeg","size":26809,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/04\/06\/zijie-jay-wang-portrait.jpg?itok=0_muMvlh"}}},"media_ids":["670466"],"related_files":{"253115":{"fid":null,"name":"2023 Apple Scholar graphic","file_path":"\/sites\/default\/files\/2023\/03\/24\/wang1.png","file_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/03\/24\/wang1.png","mime":"image\/png","size":345554,"description":null}},"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"8862","name":"Student Research"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"2556","name":"artificial intelligence"},{"id":"9167","name":"machine learning"}],"core_research_areas":[{"id":"39501","name":"People and Technology"},{"id":"39541","name":"Systems"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBen Snedeker, Comms. Mgr. II\u003Cbr \/\u003E\r\n\u003Ca href=\u0022albert.snedeker@cc.gatech.edu\u0022\u003Ealbert.snedeker@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"666796":{"#nid":"666796","#data":{"type":"news","title":"New Research Explores Using Generative AI Technology for Materials Discovery","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EWith the explosive rise of popular artificial intelligence applications like ChatGPT and DALL-E, consumers are becoming more and more familiar with the world of generative models. While these fun, novel tools are helpful in our everyday lives, Georgia Tech researchers are using the same technology to make new scientific discoveries and solve complex engineering challenges.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EOne example of this is\u0026nbsp;\u003Cstrong\u003EVictor Fung\u003C\/strong\u003E, an assistant professor with Georgia Tech\u2019s School of Computational Science and Engineering (CSE). Fung recently led a research team that\u0026nbsp;\u003Ca href=\u0022https:\/\/iopscience.iop.org\/article\/10.1088\/2632-2153\/aca1f7\u0022\u003Edeveloped a new, first-of-its-kind algorithm\u003C\/a\u003E\u0026nbsp;that can reconstruct atomic structure in generative models.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EA significant application Fung focuses this research toward is in the field of materials science and engineering. The algorithm could be key in developing further AI tools and new materials to the benefit of individual researchers and entire communities alike.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u201cStructural representations are a well-known concept people have used in other machine learning applications for chemistry and materials, like training models to predict energies and forces,\u201d Fung said. \u201cBut this is really the first time that anyone has used this in generative models.\u201d\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EStructure is a key property in a material design. For example, structure plays a role in determining superconductivity within electronics, biological viability in drugs, and catalyzation of certain chemical reactions.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EFung explained that using generative models to study atomic structure, and to design new materials, could be vital in climate remediation. This may include developing greener catalysts for use in fuel cells, designing better material for carbon capture, and discovering new light-absorbent molecules for application in solar panels.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThe algorithm can help engineers create new materials with targeted properties by building models atom-by-atom, a concept called inverse design. The algorithm is a progressive step forward in allowing computer models to create new materials tailor-made with specific functions and characteristics in mind by designers.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ESpecifically, the algorithm allows materials scientists to know the exact structure of materials that exhibit a desired property, potentially making proposed material designs a reality.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u201cIf we know the structure of material, we can be sure of what properties it has, and we will have a clear goal to try to synthesize it and develop applications,\u201d Fung said. \u201cWe basically have the key to defining the material in the chemical space.\u201d\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EFung\u2019s paper is the first in a forthcoming series of studies to develop new generative models for atomic structure. He and his co-researchers think the series could result in new algorithms and models that yield commercial benefits, as well as solve large, scientific problems.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAs part of this campaign to share his research,\u0026nbsp;\u003C\/span\u003EFung is set to discuss the findings March 31 at\u0026nbsp;\u003Ca href=\u0022https:\/\/research.gatech.edu\/materials\/imatsymposium\u0022\u003E2023 Symposium on Materials Innovations\u003C\/a\u003E, hosted by Georgia Tech\u2019s Institute for Materials (IMat).\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ESchool of CSE Ph.D. student\u0026nbsp;\u003Cstrong\u003EShuyi Jia\u003C\/strong\u003E\u0026nbsp;worked with Fung to develop the algorithm and is a co-author on the paper. The pair partnered with Oak Ridge National Laboratory scientists\u0026nbsp;\u003Cstrong\u003EJiaxin Zhang\u003C\/strong\u003E,\u0026nbsp;\u003Cstrong\u003EJunqi Yin\u003C\/strong\u003E, and\u0026nbsp;\u003Cstrong\u003EPanchapakesan Ganesh\u003C\/strong\u003E\u0026nbsp;through the study.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAlong with AI tools like ChatGPT and DALL-E, generative models are popularly used today in images, text, audio, and other types of information. They are not as common in overcoming scientific challenges due to their data-intensive nature, an obstacle that Fung\u2019s algorithm helps overcome.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EIn technical terms, the algorithm makes it possible for generative models to work with non-invertible structural representations, such as atom-centered symmetry functions.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ENow that the group has learned how to use models to generate structure, they want to extend this to broader problems in materials design and discovery. This includes being able to generate structures with different chemical compositions as well.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EHere, their algorithm becomes a tested, verified method using generative models to understand and overcome complex engineering problems.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u201cPeople who are interested in solving these kinds of problems in materials discovery, whether for specific applications, specific types of materials, or specific properties, can potentially use this approach, or at least take inspiration from it,\u201d Fung said.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ESchool of Computational Science and Engineering Assistant Professor is presenting details about a first-of-its-kind algorithm for generative AI models at the\u0026nbsp;\u003Ca href=\u0022https:\/\/research.gatech.edu\/materials\/imatsymposium\u0022\u003E2023 Symposium on Materials Innovations\u003C\/a\u003E, being hosted by Georgia Tech\u2019s Institute for Materials on March 31.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Applications of a novel algorithm developed by School of CSE researchers may lead to the design of new climate-remediation materials."}],"uid":"32045","created_gmt":"2023-03-24 13:32:29","changed_gmt":"2023-04-06 15:03:28","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-03-24T00:00:00-04:00","iso_date":"2023-03-24T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"670465":{"id":"670465","type":"image","title":"Victor Fung CRNCH.jpeg","body":"\u003Cp\u003E\u003Cstrong\u003EVictor Fung\u003C\/strong\u003E, an assistant professor with Georgia Tech\u2019s School of Computational Science and Engineering, speaks during a panel discussion during a workshop on campus.\u003C\/p\u003E\r\n","created":"1680793152","gmt_created":"2023-04-06 14:59:12","changed":"1680793152","gmt_changed":"2023-04-06 14:59:12","alt":"Victor Fung, an assistant professor with Georgia Tech\u2019s School of Computational Science and Engineering","file":{"fid":"253324","name":"Victor Fung CRNCH.jpeg","image_path":"\/sites\/default\/files\/2023\/04\/06\/Victor%20Fung%20CRNCH.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/04\/06\/Victor%20Fung%20CRNCH.jpeg","mime":"image\/jpeg","size":35631,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/04\/06\/Victor%20Fung%20CRNCH.jpeg?itok=kPD32dZI"}}},"media_ids":["670465"],"related_files":{"253116":{"fid":null,"name":"School of CSE\u0027s Victor Fung","file_path":"\/sites\/default\/files\/2023\/03\/24\/Victor%20Fung%20CRNCH.jpeg","file_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/03\/24\/Victor%20Fung%20CRNCH.jpeg","mime":"image\/jpeg","size":35631,"description":null}},"groups":[{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"154","name":"Environment"}],"keywords":[{"id":"192390","name":"generative AI"},{"id":"187812","name":"artificial intelligence (AI)"},{"id":"84281","name":"advanced materials"}],"core_research_areas":[{"id":"39471","name":"Materials"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer I\u003Cbr \/\u003E\r\n\u003Ca href=\u0022bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"666981":{"#nid":"666981","#data":{"type":"news","title":"Women Outnumbering Men for the First Time in Key HPC Research Group","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThis semester is the first time in Professor \u003Cstrong\u003E\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~saluru\/\u0022\u003ESrinivas Aluru\u2019s\u003C\/a\u003E\u003C\/strong\u003E career that the majority of Ph.D. students in his research group are women.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ENot only is this high-water mark important for the pioneer in big data, it is also illustrates how the School of Computational Science and Engineering (CSE) is leading progress and diversification in the field of high-performance computing (HPC).\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u201cWhen we fail to adequately interest large segments of the population, such as women, the growth and direction of the HPC field is negatively impacted,\u201d Aluru said. \u201cIt is exciting to walk into the workplace every morning having the opportunity to work with and learn from a diverse group with unique talents reflective of their background, experiences, and training.\u201d\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThese women are more than a demographic or a label though. They are HPC trailblazers already making impacts in the field and beyond.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EOne example of this is Ph.D. candidate \u003Cstrong\u003EShruti Shivakumar\u003C\/strong\u003E. She is a rising researcher with expertise in performant, parallel algorithms for hypergraph analytics. When not engaged in research on community detection and link prediction of diseases using tensor-based methods, she distinguishes herself through her leadership and service.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAs part of the CSE Graduate Student Association, Shivakumar chairs HotCSE- a seminar series for students to share research, practice presentation skills, and bond with each other through their common experience as a graduate students.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EIn February, Shivakumar sat on the artifact evaluation committee at the International Conference on Compiler Construction in Montreal. She helped collect and organize digital objects, such as software systems, datasets, and scripts, that accepted authors used in their paper presentations at the conference.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u201cTaking on leadership roles and volunteering time for academic service has helped me build professional networks with other researchers in the community,\u201d said Shivakumar. \u201cI am thankful for these opportunities.\u201d\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ESchool of CSE Ph.D. student \u003Cstrong\u003ESwethasree Bhattram\u003C\/strong\u003E is one of the newest members of Aluru\u2019s research group. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAfter the California-native graduated with a B.S. in bioengineering from the University of Illinois at Urbana Champaign, she came to Georgia Tech to pursue an M.S. in bioinformatics. Bhattram enjoyed researching computational biology so much that she altered plans by continuing her education toward attaining a Ph.D.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThough initially focused on clinical informatics, Bhattram became interested in HPC and software development. Here, she researches algorithm parallelization for single-cell multi-modal integration. One area Bhattram devotes her studies toward is in algorithm development for improving diagnosis of sepsis.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u201cAs someone who has a broad degree in bioengineering, I wanted to be in a place where I would have the resources to explore all possible avenues,\u201d Bhattram said. \u201cI decided to continue my Ph.D. because I found a good fit with my personality and Dr. Srinivas Aluru\u0027s lab, and I felt like I was getting into a good flow of work while studying here.\u201d\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAnother newcomer to Georgia Tech is \u003Cstrong\u003EKalsuda Lapborisuth\u003C\/strong\u003E, a Ph.D. student with passion for developing mathematical approaches to advance data-driven clinical treatments.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EWhile Lapborisuth is new to Tech, she is no stranger to studying computational techniques in medicine. \u003Cspan\u003EAs an undergraduate researcher at the University of California, Los Angeles, Lapborisuth presented a computational method to model biological aging trends based on epigenetic data.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ELapborisuth continues to pursue her passion through Aluru\u2019s group where she works closely with Bhattaram in \u003C\/span\u003Eparallelizing \u003Cspan\u003Emulti-modal single-cell sequencing data analysis. In addition to research, she is also involved in the CSE Graduate Student Association leadership as its treasurer.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u201cOur group\u0027s research is at the intersection of HPC and bioinformatics,\u201d said Lapborisuth. \u201cWe work to design and parallelize algorithms that can effectively leverage computational resources to speed up the analysis of biological data that are growing exponentially in both volume and diversity.\u201d\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003ENeda Tavakoli\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;is another Ph.D. candidate in Aluru\u2019s group nearing completion of her degree. Her research involves developing algorithms and software tools that leverage HPC to analyze large-scale genomic and biological datasets.\u003C\/span\u003E\u003C\/span\u003E\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ETavakoli\u2019s research exemplifies how HPC can make an impact in more than just the group\u2019s wheelhouse of bioinformatics and computational biology. Her\u003C\/span\u003E\u003C\/span\u003E\u0026nbsp;\u003Cspan\u003E\u003Ca href=\u0022https:\/\/ieeexplore.ieee.org\/abstract\/document\/8614252\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/ieeexplore.ieee.org\/abstract\/document\/8614252\u0022\u003E\u003Cspan\u003E\u003Cspan\u003Emost cited paper\u003C\/span\u003E\u003C\/span\u003E\u003C\/a\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;presents forecasting time series models tested on financial data, lending itself for use in business and economics.\u003C\/span\u003E\u003C\/span\u003E\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAlong with being one of the senior members of Aluru\u2019s group, Tavakoli serves as the vice president\/internal coordinator of \u003C\/span\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Ca href=\u0022https:\/\/whpc.gatech.edu\/\u0022\u003E\u003Cspan\u003EWomen in High Performance Computing (WHPC) at Georgia Tech\u003C\/span\u003E\u003C\/a\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003E. Her duties include collaborating with various organizations to provide networking opportunities and creating more career success opportunities for members.\u003C\/span\u003E\u003C\/span\u003E\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EWhen asked about her success as an aspiring researcher, Tavakoli said it goes back to her advisor and the value in relationships.\u003C\/span\u003E\u003C\/span\u003E\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u201cI am incredibly grateful for Srinivas\u0027 guidance and support throughout my Ph.D. journey,\u201d Tavakoli said. \u201cHis mentorship has made a lasting impact on my life and academic pursuits.\u201d\u003C\/span\u003E\u003C\/span\u003E\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThis semester is the first time in Professor \u003Cstrong\u003E\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~saluru\/\u0022\u003ESrinivas Aluru\u2019s\u003C\/a\u003E\u003C\/strong\u003E career that the majority of Ph.D. students in his research group are women.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ENot only is this high-water mark important for the pioneer in big data, it is also illustrates how the School of Computational Science and Engineering (CSE) is leading progress and diversification in the field of high-performance computing (HPC).\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Through opportunity, leadership, and research, Ph.D. students in Professor Srinivas Aluru\u0027s research group are blazing trails in the burgeoning, diversifying field of HPC."}],"uid":"36319","created_gmt":"2023-03-31 16:41:26","changed_gmt":"2023-03-31 18:00:32","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-03-31T00:00:00-04:00","iso_date":"2023-03-31T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"670393":{"id":"670393","type":"image","title":"women\u0027s_history_month_graphic.jpg","body":null,"created":"1680281069","gmt_created":"2023-03-31 16:44:29","changed":"1680281069","gmt_changed":"2023-03-31 16:44:29","alt":"2023 WHM","file":{"fid":"253233","name":"women\u0027s_history_month_graphic.jpg","image_path":"\/sites\/default\/files\/2023\/03\/31\/women%27s_history_month_graphic.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/03\/31\/women%27s_history_month_graphic.jpg","mime":"image\/jpeg","size":205991,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/03\/31\/women%27s_history_month_graphic.jpg?itok=Ugcah7xm"}}},"media_ids":["670393"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"666910":{"#nid":"666910","#data":{"type":"news","title":"New Algorithm Perseveres in Search for Data Anomalies on Mars","body":[{"value":"\u003Cp\u003ESearching for evidence of life on Mars is making an impact here on Earth. One way this is being achieved is through development of data science tools successfully tested on the Mars Perseverance rover, which could be applied to interpret large, complex datasets on our own planet.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2302.07187\u0022\u003Ea recent paper\u003C\/a\u003E, a collaborative team of School of Computational Science and Engineering (CSE) researchers and NASA Jet Propulsion Laboratory (JPL) scientists introduce a design methodology, called ISHMAP, to develop new data anomaly detection models.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThough implemented on the Perseverance rover as it explores for new discoveries on the Red Planet, ISHMAP\u2019s greater impact will be its applicability for terrestrial life here at home who work in the rocketing field of scientific data science.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cWe have shown that collaboratively framing a data science problem with the relevant domain experts may be much more important than the actual data modeling when it comes to the ultimate impact of a model,\u201d said\u0026nbsp;\u003Ca href=\u0022https:\/\/www.austinpwright.com\/\u0022\u003E\u003Cstrong\u003EAustin Wright\u003C\/strong\u003E\u003C\/a\u003E, a School of CSE Ph.D. student. \u201cThat is to say, really working hard to precisely form the right question is, in many ways, more important than the model used to try and answer it.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EISHMAP stands for Iterative Semantic Heuristic Modeling of Anomalous Phenomena. In essence, ISHMAP is a process for scientists and researchers to produce natively interpretable anomaly detection models.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe framework is the culmination of more than 30 months of collaborative research between CSE and JPL through Wright\u2019s internship.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHere, the ISHMAP group partnered with the NASA team that manages Perseverance\u2019s Planetary Instrument for X-Ray Lithochemistry (PIXL) instrument, a fluorescence spectrometer that studies elemental composition data of the Martian surface.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe highlight of ISHMAP\u2019s development is a highly accurate spectral anomaly algorithm that resulted in a 93.4% accuracy rate when detecting diffraction anomalies. What started as a yearlong field deployment of the toolkit is now a regular component of the PIXL team\u2019s workflow.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn fact, more than 97 NASA and NASA-affiliated scientists around the globe currently use a visualization tool embedded with the algorithm, thus proving itself as a key contributor in finding discoveries on Mars and elsewhere in our galaxy.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cISHMAP can provide a strong structure to make sure scientists know what the model is doing and is guaranteed to be addressing something that they are interested in,\u201d Wright said. \u201cBy contributing through the whole process, they have built-in levels of trust and ownership rather than just having some extra feature foisted upon them.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe ISHMAP team joining Wright includes his advisor, School of CSE Associate Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/poloclub.github.io\/polochau\/\u0022\u003E\u003Cstrong\u003EPolo Chau\u003C\/strong\u003E\u003C\/a\u003E, as well as\u0026nbsp;\u003Cstrong\u003EAdrian Galvin\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EScott Davidoff\u003C\/strong\u003E\u0026nbsp;from JPL.\u0026nbsp;\u003Cstrong\u003EPeter Nemere\u003C\/strong\u003E, a programmer at Queensland University of Technology, also co-authored the paper.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe ISHMAP algorithm analyzes\u0026nbsp;\u003Ca href=\u0022https:\/\/www.science.org\/doi\/full\/10.1126\/sciadv.abp9084\u0022\u003Eanomalies in crystal structure\u003C\/a\u003Es. These reveal aspects of geological and geochemical history that indicate suitability of life, such as past presence of water and essential minerals. This is a specific component of the PIXL instrument that searches for elemental traces of ancient microbial life on Mars in datasets collected in surveys, scans, and samples.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs scientific datasets grow larger and more complex, so too do the methods used to find anomalies. Existing anomaly detection research primarily relies on deep learning methods, but these tend to lack nuance and interpretability, which are vital to scientific inquiry.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EISHMAP bridges methodologies from artificial intelligence (AI) and human-computer interaction (HCI) into a framework for scientific researchers to use in designing more effective and interpretable anomaly detection tools.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAn important early stage in the ISHMAP process was an 18-month-long formative design study between the ISHMAP group and NASA\u2019s PIXL team. This defined the design goals needed to enhance PIXL.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo accomplish its mission, PIXL needed an algorithm that focused on raw data over processed data, robustness to operate under a limited amount of ground truth data, and enhanced ability to interpret and differentiate different kinds of anomalies.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBuy-in from users proved to be a key step in the early stages of the methodology to understand research problems and to integrate with existing model techniques. This way, ISHMAP produces an effective anomaly detection algorithm custom made to meet end-user needs.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo help spread the word about ISHMAP and attract more scientific users, Wright represented the group by presenting their research at the 28th Annual Conference on Intelligent User Interfaces (\u003Ca href=\u0022https:\/\/iui.acm.org\/2023\/call_for_papers.html\u0022\u003EIUI 2023\u003C\/a\u003E).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAn Association for Computing Machinery conference held March 27 \u2013 31 in Sydney, IUI 2023 is a premier international forum reporting outstanding research at the intersection of HCI and AI to further develop user interfaces.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cI think that researchers can consider using ISHMAP simply because these kinds of collaboration between data scientists and domain scientists are difficult,\u201d Wright said. \u201cA resource like ISHMAP can give structure to both parties, and make the whole process easier and more likely to result in good science.\u201d\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ESearching for evidence of life on Mars is making an impact here on Earth. One way this is being achieved is through development of data science tools successfully tested on the Mars Perseverance rover, which could be applied to interpret large, complex datasets on our own planet.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"In a recent paper, a collaborative team of School of Computational Science and Engineering (CSE) researchers and NASA Jet Propulsion Laboratory (JPL) scientists introduce a design methodology, called ISHMAP, to develop new data anomaly detection models."}],"uid":"36319","created_gmt":"2023-03-30 16:37:36","changed_gmt":"2023-03-30 16:41:29","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-03-29T00:00:00-04:00","iso_date":"2023-03-29T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"670369":{"id":"670369","type":"image","title":"perserverence_story graphic.v2 copy.jpg","body":null,"created":"1680194273","gmt_created":"2023-03-30 16:37:53","changed":"1680194273","gmt_changed":"2023-03-30 16:37:53","alt":"ISHMAP Graphic","file":{"fid":"253201","name":"perserverence_story graphic.v2 copy.jpg","image_path":"\/sites\/default\/files\/2023\/03\/30\/perserverence_story%20graphic.v2%20copy.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/03\/30\/perserverence_story%20graphic.v2%20copy.jpg","mime":"image\/jpeg","size":457515,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/03\/30\/perserverence_story%20graphic.v2%20copy.jpg?itok=Fkjkxmk0"}}},"media_ids":["670369"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"136","name":"Aerospace"},{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"146","name":"Life Sciences and Biology"},{"id":"152","name":"Robotics"},{"id":"135","name":"Research"}],"keywords":[],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39521","name":"Robotics"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"666866":{"#nid":"666866","#data":{"type":"news","title":"Meet CSE Profile: Regents\u2019 Professor and Chair Haesun Park","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EIf there is one person that knows the most about the School of Computational Science and Engineering (CSE), it would be Regents\u2019 Professor and Chair \u003Cstrong\u003EHaesun Park\u003C\/strong\u003E.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EWhen Park arrived at Georgia Tech in July 2005, CSE was in its infancy. Degree programs weren\u2019t approved until 2007, and the Division of CSE, as it was known at the time, was not promoted to school status until 2010.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EPark has seen a lot of firsts working at the School of CSE since its founding. In fact, she is personally responsible for a number of firsts in the School\u2019s history. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EJust to list a few, Park was the School\u2019s first external hire. She was appointed as the first associate chair upon her arrival. And when Park accepted the chair position in 2020, she became the first woman in School history to ascend the role.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAs part of our celebration of Women\u2019s History Month 2023, we sat down with Park to learn about what\u2019s kept her at Georgia Tech for nearly two decades, what\u2019s changed in the School, how she manages her professional and personal schedules, and much more. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EFaculty:\u003C\/strong\u003E Haesun Park\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EPosition:\u003C\/strong\u003E Regents\u2019 Professor and Chair of School of CSE\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EResearch Interests:\u003C\/strong\u003E Numerical Computing, Data Analytics, Visual Analytics, Text Analysis, Social Network Analysis, Parallel Computing, Bioinformatics\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EHometown:\u003C\/strong\u003E Seoul, South Korea\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003ELet\u2019s start at the very beginning. What interested you about coming to Georgia Tech in 2005?\u003C\/strong\u003E When I was at NSF [National Science Foundation] as a Program Director, I learned that Georgia Tech was starting a new school of computational science and engineering. I thought that fit my background in numerical computing and my interest in data analytics at the same time. I thought it was a great opportunity. I applied and came for an interview, and it worked out; I have been here ever since.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EAnd what has kept you here for the past 18 years?\u003C\/strong\u003E The collaborative culture. It was one of the factors that attracted me in the first place. This kind of culture is not easy to find but seemed to come naturally at Georgia Tech. Here, people always pursue innovative directions, are open-minded, and collaborate not only within the school and college, but also across campus. CSE is intrinsically a multidisciplinary area, so the collaborative culture is essential to be successful and I cherish that at Georgia Tech.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EWhat is the biggest difference or change in the School of CSE between 2005 and 2023?\u003C\/strong\u003E We are at the stage that we are growing fast. This creates some challenges, like we don\u2019t have many senior faculty members. But at the same time, our junior faculty members are full of new ideas, volunteer and become more involved in organizing and improving the School. We\u2019re very young right now, dynamic and energetic, and I really enjoy that aspect about us.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EWhat has been the most important constant in the School since 2005?\u003C\/strong\u003E A major factor that attracted me here was the fact that Georgia Tech started CSE as a school. Among all R1 doctoral universities to this day, Georgia Tech remains the only one where CSE exists as an academic unit, like a department or school. While CSE exists in the form of graduate programs or centers or so on at other research-intensive universities, theirs are not departments like ours. That means the faculty here decide our future, we do things based on our own vision, and we have our own faculty lines. We have always been at the forefront of creating and advancing the CSE discipline and that has stayed the same since the beginning.\u0026nbsp;\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EWhat do think is the School of CSE\u2019s greatest achievement?\u003C\/strong\u003E CSE research and education programs are built around the \u003Ca href=\u0022https:\/\/cse.gatech.edu\/content\/research\u0022\u003Efive core foundational areas\u003C\/a\u003E, but at the same time we emphasize working on application areas with real-life impact. The beauty of CSE research is in the virtuous cycle where our foundational methods impact real-life applications and the applications motivate development of new foundational methods. That is one of our biggest strengths.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAs mentioned earlier, we\u2019re also on the forefront of leading CSE as an independent academic discipline. There are still open discussions within our field, like what CSE graduate education curriculum should look like, and so on. We have already successfully implemented that, so we\u2019re working on spreading the word that we have created, and are further developing, a successful model. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EYou are the \u003C\/strong\u003E\u003Ca href=\u0022https:\/\/womenshistorymonth.cc.gatech.edu\/celebrating-faculty-and-staff\/\u0022\u003E\u003Cstrong\u003Efirst woman to be chair of the School\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E. What does this mean to you?\u003C\/strong\u003E I want to be a good role model and source of encouragement for women and underrepresented people, and for everyone in the School for that matter. I think we have been successful in improving diversity and I hope to do even better going forward. Most importantly, diversity does not end just with recruiting people. We will continue to develop better environments where everyone can flourish to their maximum potential as a member of CSE.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EOn top of being a world-leading researcher and long-standing leader of the School of CSE, you also are married and have a family. What has been the key to success in managing so many aspects of life?\u003C\/strong\u003E In our family, we have very open conversations. Our boys were exposed early to stories and conversations about work, family, whatever is going on, so they understand about what I do in academia and my workload. Sometimes, my professional life becomes hectic because of workload and deadlines, but we\u2019re able to adapt as a family through open communication. My family was pivotal for me to achieve what I wanted to do, and I am very thankful for their patience and love. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EContinuing with work-life balance, what are your hobbies or things you do to relax?\u003C\/strong\u003E I have lots of hobbies and I like outdoor activities. My husband and I used to enjoy cross-country skiing, even in five-degree temperature, when we lived in Minnesota. We also like hiking. I like making things, so cooking, fixing things in the house, and learning things online while adding my own ideas to create something new. I also love playing piano, although my skills are becoming rusty in recent years. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EBeing a resident to the Atlanta area for nearly two decades, what do you like most about living and working in Georgia?\u003C\/strong\u003E I like the nature here and the variety of tree and flowers. The biodiversity is just amazing here. Every time we go hiking, the scenery is different, which is really special. I also like the people here. I find people jovial, open, and easy to talk to, and that gives me a sense of belonging. These aspects make living and working in Georgia enjoyable. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAnd of course, I love meeting my family on campus. My husband works at Georgia Tech Research Institute and our two sons, who completed undergraduate degrees at Tech, are now doing graduate work here.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAs part of CSE\u0027s celebration of Women\u2019s History Month 2023, we sat down with\u0026nbsp;Hamsun\u0026nbsp;Park to learn about what\u2019s kept her at Georgia Tech for nearly two decades, what\u2019s changed in the School, how she manages her professional and personal schedules, and much more.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Special Women\u0027s History Month edition of Meet CSE profile series"}],"uid":"36319","created_gmt":"2023-03-29 13:42:27","changed_gmt":"2023-03-29 13:42:27","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-03-28T00:00:00-04:00","iso_date":"2023-03-28T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"related_files":{"253164":{"fid":null,"name":"Meet CSE: Haesun Park","file_path":"\/sites\/default\/files\/2023\/03\/29\/Meet%20CSE-%20Haesun%20Park%20copy.jpg","file_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/03\/29\/Meet%20CSE-%20Haesun%20Park%20copy.jpg","mime":"image\/jpeg","size":249165,"description":null}},"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"132","name":"Institute Leadership"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"129","name":"Institute and Campus"}],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer I\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/cse.gatech.edu\/news\/666796\/bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"666401":{"#nid":"666401","#data":{"type":"news","title":"Scientist Presents Out of this World Research at International Conference","body":[{"value":"\u003Cp\u003EThe Society for Industrial and Applied Mathematics (SIAM) hosted this week its biennial activity group conference on computational science and engineering (\u003Ca href=\u0022https:\/\/www.siam.org\/conferences\/cm\/conference\/cse23\u0022\u003ESIAM CSE23\u003C\/a\u003E) in Amsterdam.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThere, nearly half of the faculty body from Georgia Tech\u0026rsquo;s School of Computational Science and Engineering (CSE) had\u0026nbsp;research accepted for presentation to fellow members of the world\u0026rsquo;s largest organization devoted to applied mathematics, computational science, and data science.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne notable, literally out of this world, presentation comes from\u0026nbsp;\u003Cstrong\u003EElizabeth Qian\u003C\/strong\u003E, an assistant professor with joint appointments in the School of CSE and the Daniel Guggenheim School of Aerospace Engineering.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EQian presented at the conference a\u0026nbsp;\u003Ca href=\u0022https:\/\/www.spiedigitallibrary.org\/journals\/Journal-of-Astronomical-Telescopes-Instruments-and-Systems\/volume-8\/issue-3\/038001\/Multifidelity-uncertainty-quantification-and-model-validation-of-large-scale-multidisciplinary\/10.1117\/1.JATIS.8.3.038001.full?SSO=1\u0022\u003Enew computational framework\u003C\/a\u003E\u0026nbsp;for engineering analysis that was applied to the James Webb Space Telescope (JWST). The method proved to reduce the time required to perform a design analysis from more than two months to less than two days.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn addition to reducing the time required to perform this analysis, the framework also makes results more consistent and robust. These technical performance improvements can help keep complex space missions, like the JWST, on schedule and on budget, contributing to overall mission success.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Working with domain experts at NASA on the analysis of a complex space system is very exciting,\u0026rdquo; Qian said. \u0026ldquo;There are unique challenges that are encountered in the design of real-world systems that we don\u0026rsquo;t encounter when prototyping methods.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EQian\u0026rsquo;s framework speeds up and reduces error of uncertainty quantification calculations. Uncertainty quantification is the science of accounting for uncertainty and determining the likelihood of certain outcomes if some aspects of a system are unknown.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESince uncertainties are present in most complex, large-scale engineering systems, like the JWST, this framework provides design methods and tools that can be applied to many other projects here on Earth.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This framework is already having an impact on applications from plasma fusion to water resource management,\u0026rdquo; said Qian. \u0026ldquo;The beauty of CSE research is that it can be applied to almost anything in science, engineering, and medicine.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESome uncertainties engineers must account for when designing the JWST are how temperature changes affect the telescope\u0026rsquo;s optics when it slews from one observation target to another. These temperature changes can distort the telescope\u0026rsquo;s images.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo overcome this challenge, Qian teamed with NASA engineer\u0026nbsp;\u003Cstrong\u003EGiuseppe Cataldo\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EJeremy Auclair\u003C\/strong\u003E, a research engineer at Centre d\u0026rsquo;Etudes Spatiales de la Biosph\u0026egrave;re in Toulouse, France.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn their study, the new method analyzed the optical error caused by temperature changes and identified which telescope structures had the largest impact on this error.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETested through thousands of rigorous simulations, the team\u0026rsquo;s framework uses a mix of low and high-fidelity models to reduce error and improve calculation speed.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile less accurate, low-fidelity models run faster and improve the framework\u0026rsquo;s overall computational speed. A more expensive high-fidelity model is used in the framework to ensure accuracy of results and retain the physics of the phenomena the model is trying to represent.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGrounded upon interdisciplinary collaboration and poised for real-world application, the framework made for worthy scholarship accepted at SIAM CSE23. There, Qian represented the research team and the School of CSE when she gave a presentation of the paper.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe School of CSE formed a strong contingent of 11 presenting faculty at SIAM CSE23, nearly half of the School\u0026rsquo;s faculty body at a single conference.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlong with Qian, School of CSE faculty with papers accepted at the conference include:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003ESpencer Bryngelson\u003C\/strong\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003E\u0026Uuml;mit \u0026Ccedil;ataly\u0026uuml;rek\u003C\/strong\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003ENisha Chandramoorthy\u003C\/strong\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EPeng Chen\u003C\/strong\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EElizabeth Cherry\u003C\/strong\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EEdmond Chow\u003C\/strong\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EFelix Herrmann\u003C\/strong\u003E, joint with the School of Earth and Atmospheric Sciences and School of Electrical and Computer Engineering\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003ESurya Kalidindi\u003C\/strong\u003E, joint with the George W. Woodruff School of Mechanical Engineering\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EFlorian Sch\u0026auml;fer\u003C\/strong\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003ERich Vuduc\u003C\/strong\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003ESIAM CSE23 is the designated, biennial conference for the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.siam.org\/membership\/activity-groups\/detail\/computational-science-and-engineering\u0022\u003ESIAM Activity Group on Computational Science and Engineering\u003C\/a\u003E. Here, School of CSE Professor and Associate Chair Edmond Chow serves as the activity group\u0026rsquo;s program director, a position he recently attained in December 2022.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of CSE Regents\u0026#39; Professor and Chair\u0026nbsp;\u003Cstrong\u003EHaesun Park\u003C\/strong\u003E\u0026nbsp;served on the selection committee for for the James H. Wilkinson Prize for Numerical Software, which was awarded at the conference.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnother notable School of CSE highlight at the conference was the presence of Assistant Professor Peng Chen. Chen presented one paper that he authored, he co-authored five additional papers, and he organized two panels.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOn the final day of SIAM CSE23, the conference announced that School of CSE Associate Professor and Associate Chair Elizabeth Cherry would co-chair the organizing committee for SIAM CSE25. The 2025 conference will take place March 2 \u0026ndash; 7 in Fort Worth, Texas.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhether it is research collaboration at an international conference or application on a telescope orbiting Earth, the School of CSE is distinguishing itself as a leader in solving scientific and engineering challenges through computational methods.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It\u0026rsquo;s great to have such a strong Georgia Tech representation at the conference. It really points to Tech being an excellent place for impactful, interdisciplinary work,\u0026rdquo; Qian said.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"School of CSE faculty present research at SIAM CSE23"}],"uid":"36319","created_gmt":"2023-03-03 16:32:46","changed_gmt":"2023-03-06 20:44:26","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-03-03T00:00:00-05:00","iso_date":"2023-03-03T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"666400":{"id":"666400","type":"image","title":"Elizabeth Qian","body":null,"created":"1677860958","gmt_created":"2023-03-03 16:29:18","changed":"1677860958","gmt_changed":"2023-03-03 16:29:18","alt":"Assistant Professor Elizabeth Qian","file":{"fid":"251973","name":"Elizabeth Qian SIAM CSE.JPG","image_path":"\/sites\/default\/files\/images\/Elizabeth%20Qian%20SIAM%20CSE.JPG","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Elizabeth%20Qian%20SIAM%20CSE.JPG","mime":"image\/jpeg","size":1262797,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Elizabeth%20Qian%20SIAM%20CSE.JPG?itok=8-e4gIqM"}}},"media_ids":["666400"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"129","name":"Institute and Campus"},{"id":"134","name":"Student and Faculty"},{"id":"135","name":"Research"},{"id":"136","name":"Aerospace"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[{"id":"39541","name":"Systems"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"665896":{"#nid":"665896","#data":{"type":"news","title":"Anqi Wu Awarded 2023 Sloan Research Fellowship","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAnqi Wu\u003C\/strong\u003E, an assistant professor in Georgia Tech\u0026rsquo;s School of Computational Science and Engineering (CSE), has been selected to the 2023 cohort of the\u0026nbsp;\u003Ca href=\u0022https:\/\/sloan.org\/fellowships\/2023-Fellows\u0022\u003ESloan Research Fellowship\u003C\/a\u003E\u0026nbsp;announced Feb. 15.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWu joins a cohort of 124 other young scientists from across the U.S. and Canada selected for one of the most competitive and prestigious awards available to early-career researchers.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJoining Wu this year from Tech is\u0026nbsp;\u003Ca href=\u0022https:\/\/bme.gatech.edu\/bme\/faculty\/Jeffrey-Markowitz\u0022\u003E\u003Cstrong\u003EJeffrey Markowitz\u003C\/strong\u003E\u003C\/a\u003E, an assistant professor in the\u0026nbsp;\u003Ca href=\u0022https:\/\/bme.gatech.edu\/bme\/\u0022\u003EWallace H. Coulter Department of Biomedical Engineering\u003C\/a\u003E. In all, 47 faculty from Georgia Tech have received Sloan Fellowships since the award began in 1955.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Anqi is a talented and dynamic researcher that is already making significant contributions to better understanding how the brain works early in her career,\u0026rdquo; said\u0026nbsp;\u003Cstrong\u003EHaesun Park\u003C\/strong\u003E, Regents\u0026rsquo; Professor and School of CSE chair. \u0026ldquo;Anqi reflects the best of Georgia Tech and I\u0026rsquo;m proud of her accomplishments and that she is part of our team.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFunded by the Alfred P. Sloan Foundation, fellowships award rising scientists $75,000 over a two-year term on any expenses supporting their research.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Sloan Foundation offers fellowships to rising scientists across seven fields: chemistry, computer science, earth system science, economics, mathematics, neuroscience, and physics. Wu received the Sloan Fellowship in neuroscience for her impactful research in the field.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The fellowship provides significant financial support for my early-stage research career. I will use it for the research on developing advanced statistical models for neural and behavioral data analyses,\u0026rdquo; Wu said. \u0026ldquo;My hope is to help experimental neuroscientists to decipher the massive datasets they collect and provide interpretable insights into our brain.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWu\u0026rsquo;s research goals are to discover scientifically interpretable patterns underlying neural populations and behaviors, understand sophisticated neuro-behavioral relationships, and promote scientific discovery in neuroscience.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESpecifically, her lab develops scientifically motivated machine learning models for neural and behavior data analyses in collaboration with experimental neuroscientists.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWu aims at leading next generation computational neuroscience by developing integrated data analysis tools to provide systematic and comprehensive understandings of neural mechanisms and biological functions and pushing the boundary of computational models for neuroscience.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWu\u0026rsquo;s work led her to establish her research group, the BRAin INtelligence and Machine Learning (\u003Ca href=\u0022https:\/\/sites.google.com\/site\/anqiwuresearch\u0022\u003EBRAINML\u003C\/a\u003E) Laboratory. She is also affiliated with the\u0026nbsp;\u003Ca href=\u0022https:\/\/ml.gatech.edu\/\u0022\u003EMachine Learning Center at Georgia Tech\u003C\/a\u003E, Neuro@GT, and the Georgia Tech Interdisciplinary Bioengineering Graduate Program.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlong with receiving the 2023 Sloan Research Fellowship, Wu was recognized as a\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/researchers-recognized-darpa-risers\u0022\u003EDARPA Riser\u003C\/a\u003E\u0026nbsp;in October 2022 at the DARPA Forward conference.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I am truly honored to be selected as a Sloan Fellow,\u0026rdquo; Wu said. \u0026ldquo;I\u0026rsquo;m deeply grateful that my research has been recognized by the prestigious Alfred P. Sloan Foundation.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Anqi Wu Awarded 2023 Sloan Research Fellowship"}],"uid":"36319","created_gmt":"2023-02-17 16:52:22","changed_gmt":"2023-02-23 19:06:27","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-02-15T00:00:00-05:00","iso_date":"2023-02-15T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"665895":{"id":"665895","type":"image","title":"Sloan Research Fellow Anqi Wu","body":null,"created":"1676652621","gmt_created":"2023-02-17 16:50:21","changed":"1676652621","gmt_changed":"2023-02-17 16:50:21","alt":"CSE Anqi Wu","file":{"fid":"251820","name":"Anqi Wu Sloan Fellow Graphic copy.jpg","image_path":"\/sites\/default\/files\/images\/Anqi%20Wu%20Sloan%20Fellow%20Graphic%20copy.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Anqi%20Wu%20Sloan%20Fellow%20Graphic%20copy.jpg","mime":"image\/jpeg","size":249607,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Anqi%20Wu%20Sloan%20Fellow%20Graphic%20copy.jpg?itok=jDITOZ23"}}},"media_ids":["665895"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"129","name":"Institute and Campus"},{"id":"134","name":"Student and Faculty"},{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"665707":{"#nid":"665707","#data":{"type":"news","title":"New Hybrid Machine Learning Framework Extends Range of Accurate Epidemic Forecasting","body":[{"value":"\u003Cp\u003ECommunity leaders and public health officials may soon have more time to plan for Covid and flu outbreaks thanks to a new machine learning (ML) framework that is improving the accuracy of long-range epidemic forecasting.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThat is exactly what researchers at Georgia Tech\u0026rsquo;s School of Computational Science and Engineering (CSE) have developed through EINNs,\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2202.10446\u0022\u003EEpidemiologically-Informed Neural Networks\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlong with proving its ability to improve accuracy in long-term epidemic forecasting, EINNs has implications in artificial intelligence (AI) by leading a path toward optimization for current models based on neural networks and differential equations to follow.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;To generate trustworthy epidemic forecasts, more than just data may be required,\u0026rdquo; said\u0026nbsp;\u003Cstrong\u003EAlexander Rodr\u0026iacute;guez\u003C\/strong\u003E, a CSE Ph.D. student and EINNs researcher. \u0026ldquo;In our paper, we tackle this challenge by introducing a methodology to enable better integration of epidemiological knowledge and deep neural networks. This integration can help neural networks predict farther into the future.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJoining Rodr\u0026iacute;guez on the EINNs team from the School of CSE are Ph.D. student\u0026nbsp;\u003Cstrong\u003EJiaming Cui\u003C\/strong\u003E\u0026nbsp;and Associate Professor\u0026nbsp;\u003Cstrong\u003EB. Aditya Prakash\u003C\/strong\u003E. The trio partnered with Virginia Tech Professor\u0026nbsp;\u003Cstrong\u003ENaren Ramakrishnan\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EBijaya Adhikari\u003C\/strong\u003E, an assistant professor at the University of Iowa, to develop EINNs.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn their study, all models, including EINNs, made eight-week forecasts for Covid-19 and flu, in two time periods. The team\u0026rsquo;s testing period for Covid-19 forecasting spanned Sept. 2020 to March 2021, which encompassed the entire Delta variant wave. For flu, the period lasted from Dec. 2017 to May 2018.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhen testing EINNs in forecasting Covid-19 and flu, the framework resulted in improved accuracy of up to 55% of recurrent neural network models, while also increasing correlation with epidemic trends. EINNs also demonstrated 77% less error in comparison to traditional mechanistic epidemiological models based on ordinary differential equations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese results show promise in forecasting multiple diseases at the same time from a longer perspective. This could prevent future hardships, like the 2022 \u0026ldquo;tripledemic\u0026rdquo; of COVID-19, flu, and respiratory syncytial virus (RSV).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs a result of the success of the framework\u0026rsquo;s design, and its potential for improving epidemic forecasting, the research team presented EINNs at the\u0026nbsp;\u003Ca href=\u0022https:\/\/aaai-23.aaai.org\/\u0022\u003E37th Association for the Advancement of Artificial Intelligence (AAAI) 2023 conference\u003C\/a\u003E\u0026nbsp;in Washington, D.C. Here, the conference committee assigned EINNs to the AI for Social Impact track.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Predicting and preventing epidemics are major challenges for the World Health Organization and the Centers for Disease Control and Prevention, with far-reaching effects on health, economy, and social well-being,\u0026rdquo; Rodr\u0026iacute;guez said. \u0026ldquo;Forecasting with EINNs allows us to see further into the future, which it critical to planning and decision-making in public health.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPart of the beauty of EINNs is its incorporation of the best aspects from neural networks and mechanistic models, an idea borrowed from physics-informed neural networks. The team mentions in their study that the goal was not to compete with the models, but rather to develop a method for consistently good performance in accuracy and correlation.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECurrent neural network models are good at short-term forecasting, typically one to four weeks, but do not have any knowledge on epidemic dynamics. As a result, they often lose accuracy in long-term forecasting.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMechanistic models, on the other hand, contain this knowledge, making them a welcomed addition to deep neural networks for long-term epidemic forecasting. At the same time, mechanistic models have difficulty ingesting some datasets, like social media data. EINNs enables such models to incorporate these datasets better through neural networks.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn total, the research team made 5,696 predictions per tested model, including EINNs. This required training each model more than 700 times. Though computationally expensive, this developed the AI that ultimately led the team\u0026rsquo;s success.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo accomplish this, the team tested models on four Intel Xeon E7-4850 CPUs, boosted by four NVDIA Tesla V100 DGXS 32GB GPUs. With code written in PyTorch, the GPUs completed training of each predictive task in about 30 minutes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Current ML modes don\u0026rsquo;t utilize domain knowledge embedded in epidemiological models and we wanted to bridge that gap,\u0026rdquo; Rodr\u0026iacute;guez said. \u0026ldquo;To accomplish this, we took inspiration from recent work in scientific AI and developed new techniques. We incorporate this mechanistic knowledge by carefully matching so-called gradients of epidemic variable through transfer learning.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Researchers at Georgia Tech\u2019s School of Computational Science and Engineering (CSE) have developed EINNs, Epidemiologically-Informed Neural Networks"}],"uid":"36319","created_gmt":"2023-02-10 17:57:57","changed_gmt":"2023-02-10 19:59:00","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-02-10T00:00:00-05:00","iso_date":"2023-02-10T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"665705":{"id":"665705","type":"image","title":"EINNs Charts","body":null,"created":"1676051479","gmt_created":"2023-02-10 17:51:19","changed":"1676051479","gmt_changed":"2023-02-10 17:51:19","alt":"EINNs at AAAI 2023","file":{"fid":"251753","name":"EINNs Charts.png","image_path":"\/sites\/default\/files\/images\/EINNs%20Charts.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/EINNs%20Charts.png","mime":"image\/png","size":134615,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/EINNs%20Charts.png?itok=8pNbRrsU"}}},"media_ids":["665705"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"},{"id":"135","name":"Research"},{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"146","name":"Life Sciences and Biology"}],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"665589":{"#nid":"665589","#data":{"type":"news","title":"Gallery of Odd and New Technology Holds Future of Computing","body":[{"value":"\u003Cp\u003EEver since the 1970s, the number of transistors on computer microchips typically doubled about every two years. What was once a predictable trend, called Moore\u0026rsquo;s Law, is now increasingly untenable with current technologies, which would inhibit further development of today\u0026rsquo;s computers and smart devices.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech\u0026rsquo;s Center for Research into Novel Computing Hierarchies (CRNCH) is taking this dilemma head-on, in part, through a computer version of Frankenstein\u0026rsquo;s lab. Dubbed the Rogues Gallery, CRNCH showcased this collection of unique hardware at the 2023 CRNCH Summit to illustrate how it is ushering the next generation of computing.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFounded in 2018, the Rogues Gallery is a collection of unique computer hardware acquired from vendors, research labs, and startups. While these components could unlock the future of computing, they are either so new or rare that few individuals know how to effectively program them, and the full capabilities remain unknown.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo better understand these components, the Rogues Gallery allows students, faculty, and industry collaborators to access its hardware collection to experiment within a managed data center. The Rogues Gallery also operates as CRNCH\u0026rsquo;s testbed that researchers across the globe can use through remote access.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo share this interesting and helpful resource, CNRCH leadership organized the 2023 summit to bring together computing stakeholders and raise awareness of novel architectures, like the Rogues Gallery. The summit also presents an opportunity to share the Rogues Gallery\u0026rsquo;s current state and future direction.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The Rogues Gallery has seen substantial uptake within Georgia Tech and with researchers from across the U.S. and around the world,\u0026rdquo; said Jeff Young, a research scientist at Georgia Tech and director of the Rogues Gallery. \u0026ldquo;We just finished our first big deployment of hardware through an NSF program, and we\u0026#39;re planning on future acquisitions, training, and community engagement to help drive growth and evolution.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne example of the hardware deployment Young refers to is a crown jewel within the Rogues Gallery: the Lucata Pathfinder system. Georgia Tech became the host of the nation\u0026rsquo;s largest, publicly available Lucata Pathfinder system when it arrived in July 2021.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe system is a prototype computing platform designed to run deep analytics on large graphs. Here, Rogues Gallery researchers are working to explore the limits of the Lucata Pathfinder using large data sets with applications related to community detection, graph-based genome assembly, and graph neural networks.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Lucata, Pathfinder uses migrating thread technology to deliver 16 times the performance at one-tenth the power of comparable systems. The system can accelerate analytics on graph databases of over 1 trillion nodes with no data pruning required.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlong with the Lucata Pathfinder, another highlight from CRNCH Summit 2023 was a poster presentation session where some students showcased research from field programable gate arrays (FPGAs) provided through the Rogues Gallery. FPGAs are essentially microchips designed to be configured by the consumer.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBy developing software on FPGAs, students apply lessons learned in the classroom while also helping find solutions to post-Moore computing. In fact, students shared their FPGA research at CRNCH Summit 2023 during a poster session.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESince 2021, over 200 Georgia Tech students have used a remotely accessible, 64-node FPGA cluster housed in the Rogues Gallery for processor design and artificial intelligence applications. Due to the low cost and high customizability of FPGAs, this technology is a promising starting point for the next generation of computer engineers.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The most exciting thing about the Rogues Gallery is its flexibility to respond to requests from faculty at Georgia Tech and researchers,\u0026rdquo; Young said. \u0026ldquo;When we started the testbed, we never anticipated deploying a full remote FPGA cluster for classes, but the COVID-19 pandemic meant that we had to evolve the way we taught specific classes.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOptimizing Rogues Gallery hardware for remote access is one of the keys to making it a source for meaningful computer research across the globe, not just Georgia Tech. Today, the Rogues Gallery supports over 100 users spanning the U.S. and Europe.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs the need for new post-Moore resources, research, and education grows around the world, the Rogues Gallery aims to keep pace using its variety of unique and well-supported hardware, software, tools, and training.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We see the Rogues Gallery as a democratizing agent for exploring novel architectures,\u0026rdquo; Young said. \u0026ldquo;We are providing an avenue for new related codesign developments in software, tools, and applications that will help us to create the \u0026lsquo;next\u0026rsquo; computing paradigms that will be important in the next 10-20 years.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CRNCH showcased this collection of unique hardware, called the Rogues Gallery, at the 2023 CRNCH Summit to illustrate how it is ushering the next generation of computing. "}],"uid":"36319","created_gmt":"2023-02-08 13:15:15","changed_gmt":"2023-02-08 13:15:15","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-02-03T00:00:00-05:00","iso_date":"2023-02-03T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"665588":{"id":"665588","type":"image","title":"Lucata Pathfinder","body":null,"created":"1675861858","gmt_created":"2023-02-08 13:10:58","changed":"1675861858","gmt_changed":"2023-02-08 13:10:58","alt":"","file":{"fid":"251714","name":"Lucata Pathfinder.jpg","image_path":"\/sites\/default\/files\/images\/Lucata%20Pathfinder.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Lucata%20Pathfinder.jpg","mime":"image\/jpeg","size":272677,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Lucata%20Pathfinder.jpg?itok=WFElareL"}}},"media_ids":["665588"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"42921","name":"Exhibitions"},{"id":"133","name":"Special Events and Guest Speakers"},{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"},{"id":"135","name":"Research"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39451","name":"Electronics and Nanotechnology"},{"id":"39541","name":"Systems"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"665283":{"#nid":"665283","#data":{"type":"news","title":"Researchers Optimize High-Performance Computing Software at Interdisciplinary Hackathon","body":[{"value":"\u003Cp\u003EHigh-performance computing is all about speed. One of the fastest ways researchers can refine their projects are through hackathons where they have access to the latest HPC hardware and advisement from fellow peers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech hosted a\u0026nbsp;\u003Ca href=\u0022https:\/\/www.openhackathons.org\/s\/siteevent\/a0C5e000005V6AoEAK\/se000150\u0022\u003Evirtual open hackathon\u003C\/a\u003E\u0026nbsp;held Jan. 18-26, for participants to\u0026nbsp;advance and\u0026nbsp;test ongoing software on powerful HPC hardware. On the final day, teams presented their research,\u0026nbsp;showcasing\u0026nbsp;insightful applications\u0026nbsp;in\u0026nbsp;physics, medicine, computer science, and more.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Computational Science and Engineering (CSE) Assistant Professor\u0026nbsp;\u003Cstrong\u003ESpencer Bryngelson\u003C\/strong\u003Ecoordinated the event with NVIDIA\u0026nbsp;and the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.openacc.org\/\u0022\u003EOpenACC Organization\u003C\/a\u003E. This is the second hackathon Bryngelson has organized since arriving to Georgia Tech in 2021.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Overall, this hackathon went really well once again,\u0026rdquo; Bryngelson said. \u0026ldquo;I am impressed with the presentations, and I hope that the teams leave satisfied with the progress made on their projects.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearchers from academia, national laboratories, and industry formed six teams in the event. Research scientists from NASA, NVIDIA, and Georgia Tech served as mentors to help teams through their projects and using available HPC hardware.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech researchers swarmed the hackathon with representation from nine schools spanning three colleges. These include: the Daniel Guggenheim School of Aerospace Engineering, School of Civil and Environmental Engineering, School of Chemical and Biomolecular Engineering, School of CSE, School of Computer Science, School of Computing Instruction, the George W. Woodruff School of Mechanical Engineering, School of Physics, and the Wallace H. Coulter Department of Biomedical Engineering- an academic unit shared among Emory University, Georgia Tech, and Peking University.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne team participated in the hackathon to accelerate their software that simulates particle assembly, an area with application in geomechanics, materials science, and even pharmacology. At the end of the hackathon, the team accelerated their entire two-dimensional simulation algorithm by 78 times and by 29 times in a three-dimensional subprocess.\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA second team used the hackathon to improve their Monte Carlo algorithm with applications in nuclear physics. Specifically, the group improved precision of tracking particle spins through electric and magnetic fields.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnother team also optimized a Monte Carlo simulation, but with application to better study and improve oxygen exchange between body tissue. Here, the team needed to accelerate their code to track over 2.5 million photons during propagation. By the end of the hackathon, their code\u0026rsquo;s speed improved by 20 times.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile all six teams saw refinement of their individual projects, the hackathon also presented an immediate and tangible environmental benefit for all.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESoftware optimization makes supercomputers more energy efficient. Teams preserved energy costs the equivalent of removing 50 vehicles from use for a year and planting over 3,800 tree saplings\u0026nbsp;through improvements developed during the hackathon.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This hackathon was absolutely worth it,\u0026rdquo; said\u0026nbsp;\u003Cstrong\u003ERuijia Wang\u003C\/strong\u003E, a Ph.D. student in Tech\u0026rsquo;s School of Civil and Environmental Engineering. \u0026ldquo;It was a great learning experience and the potential application that we developed for our program is enormous.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETeams ran their computer codes and programs on the latest HPC hardware available\u0026nbsp;at Georgia Tech. The\u0026nbsp;hackathon employed 81 total CPUs from Intel and AMD and 21 GPUs from NVIDIA, including the A100, A40, Tesla V100, and Quadro Pro models.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese CPUs and GPUs used in the hackathon belong to Georgia Tech\u0026rsquo;s Instructional Cluster Environment (ICE). ICE is a collection of two different computer clusters managed by the College of Computing and Partnership for an Advance Cluster Environment (PACE).\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe ICE project originated in 2018 as an educational resource for graduate and undergraduate students to gain first-hand scientific computing experience. Along with using ICE in credit-bearing courses at Georgia Tech, PACE research scientists use ICE to host tutorials and workshops for researchers to improve their computational skills, like hackathons.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile the hackathon provided participants with opportunities to advance their research, it also acted as a laboratory for NVIDIA, and the HPC community overall, to study the latest hardware in action and attain user feedback.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis mutual relationship between hardware and software developers ensures the HPC field progresses forward together to continue overcoming computational challenges of the future.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Thank you to the event co-sponsors, NVIDIA and OpenACC, and the additional mentors from NASA that helped make this hackathon happen,\u0026rdquo; Bryngelson said. \u0026ldquo;I would also like to acknowledge and thank the PACE team at Georgia Tech, who served dual roles as mentors and made sure the computing happened. We\u0026rsquo;re very fortunate to have such great people like them helping in so many different ways.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech hosted a virtual open hackathon held Jan. 18-26, for participants to advance and test ongoing software on powerful HPC hardware. "}],"uid":"36319","created_gmt":"2023-01-31 17:50:16","changed_gmt":"2023-01-31 17:50:16","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-01-31T00:00:00-05:00","iso_date":"2023-01-31T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"665282":{"id":"665282","type":"image","title":"2023 Hackathon","body":null,"created":"1675187246","gmt_created":"2023-01-31 17:47:26","changed":"1675187246","gmt_changed":"2023-01-31 17:47:26","alt":"CSE 2023 Hackathon","file":{"fid":"251624","name":"2023 Hackathon.png","image_path":"\/sites\/default\/files\/images\/2023%20Hackathon.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/2023%20Hackathon.png","mime":"image\/png","size":630842,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/2023%20Hackathon.png?itok=76-punew"}}},"media_ids":["665282"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"129","name":"Institute and Campus"},{"id":"42911","name":"Education"},{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"},{"id":"135","name":"Research"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"664618":{"#nid":"664618","#data":{"type":"news","title":"Manufacturing, Finance Among Industries to Benefit from What\u0027s Next in AI for 2023","body":[{"value":"\u003Cp\u003EArtificial intelligence is already making headlines in the new year with the box office success of the movie\u0026nbsp;\u003Cem\u003EM3GAN\u003C\/em\u003E. Along with a TikTok dance craze and lots of laughs, the over-the-top horror movie\/dark comedy about an AI-powered robot that runs amok is also inspiring discussion about the growing presence and impact of artificial intelligence in everyday life.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFrom the movie\u0026nbsp;house to the warehouse\u0026nbsp;to your house, AI seems like it\u0026#39;s everywhere. That\u0026#39;s because with a steady stream of new research and innovative applications reaching into nearly every industry and business sector, it\u0026nbsp;is everywhere.\u0026nbsp;Nevertheless, AI still holds enormous potential as the field continues to evolve.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo get a sense of what this evolution could look like in 2023, we turned to a small group of \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/phd\u0022\u003EPh.D. students from the College of Computing\u003C\/a\u003E community that are currently pushing foundational and applied AI research forward in a broad spectrum of disciplines and fields.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe students shared their opinions on where AI might be headed in the new year, what some of the big tech stories could be, and why ethics in AI are so critically important.\u003C\/p\u003E\r\n\r\n\u003Ch5\u003EWhere will artificial intelligence and machine learning have the most impact in 2023?\u003C\/h5\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Artificial intelligence and machine learning\u0026nbsp;will continue to have a huge impact on manufacturing and warehouses with labor shortages and worker turnover continuing to be a concern as more manufacturing and operations jobs are brought back to the United States from overseas. Additionally, AI\/ML will continue to help ensure that manufacturing and warehouse facilities are operating as efficiently as possible from energy and material savings to worker safety and parts quality.\u0026quot; \u0026ndash;\u0026nbsp;\u003Cem\u003E\u003Ca href=\u0022https:\/\/www.researchgate.net\/profile\/Zoe-Klesmith\u0022\u003EZoe Klesmith Alexander\u003C\/a\u003E, computational science and engineering Ph.D. student\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Right now, deep learning is on a trajectory to transform\u0026nbsp;the creation space. Artwork and images, videos, data representation and storytelling, co-authoring, and summarizing documents... It\u0026#39;s gotten really good.\u0026quot; \u0026ndash;\u0026nbsp;\u003Cem\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/benhoov\/\u0022\u003EBen Hoover\u003C\/a\u003E, machine learning Ph.D. student\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;I think machine learning and AI will keep playing a huge role\u0026nbsp;in how the world and society will be shaped over the next decade in many ways. It will make many other fields more efficient through ML and AI tools we are developing. In 2023, I think ML and AI will have the most impact on social media platforms, helping reduce hate speech, rumor spread, etc.\u0026quot; \u0026ndash;\u0026nbsp;\u003Cem\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/agam-shah\/\u0022\u003EAgam A. Shah\u003C\/a\u003E, machine learning Ph.D. student\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;One of the big impacts this year\u0026nbsp;may be driverless cars\u0026nbsp;being in your neighborhood. Otherwise, it will be a slow steady drip of GPT3 and other OpenAI models suffusing all applications, making programmers much faster, making journalists faster, making academic articles and lit reviews much faster. We\u0026#39;re at a 4th grader level, and I hope by the end of this year we\u0026#39;ll be at the 6th grader level. Also, indoor turn-by-turn navigation will be everywhere in 2023 as well.\u0026quot; \u0026ndash;\u0026nbsp;\u003Cem\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/brandonkeithbiggs\/\u0022\u003EBrandon Biggs\u003C\/a\u003E, human-centered computing Ph.D. student\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Ch5\u003EWhat will be some of the big tech stories in 2023?\u003C\/h5\u003E\r\n\r\n\u003Cp\u003E\u0026quot;ChatGPT and the GitHub Copilot lawsuit\u0026nbsp;will keep making it into the news and cause more controversies. In general, AI ethics will become more important and get more focus as the technology keeps advancing.\u0026quot; \u0026ndash; \u003Ca href=\u0022https:\/\/fab1ano.github.io\/\u0022\u003EFabian Fleischer\u003C\/a\u003E, cybersecurity, and privacy Ph.D. student\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Driverless car fleets will be coming\u0026nbsp;to a city near you.\u0026nbsp;A new battery technology will allow phones to keep their charge for a week. Meta realizes virtual reality (VR) head-mounted displays are for a limited market and uses headphones and phones to provide VR experiences.\u0026quot; \u0026ndash; Brandon Biggs\u003C\/p\u003E\r\n\r\n\u003Ch5\u003EWhat\u0026rsquo;s an issue or industry that you think could benefit from a computing solution?\u003C\/h5\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Our reinterpretation of modern deep learning\u0026nbsp;as energy-based associative memories\u0026nbsp;has the potential to transform any industry that relies on foundation models -- giant architectures that require models that are \u0026quot;self-supervised\u0026quot; (learn on their own from data).\u0026quot; \u0026ndash; Ben Hoover\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Inclusion in everything.\u0026nbsp;Over 90 percent of websites on the internet have elements that are inaccessible to 25 percent of the world\u0026#39;s population who have disabilities. Inclusive design will be the most important area where technology can be redesigned and created to have multiple sensory modalities and be properly programmed.\u0026quot; \u0026ndash; Brandon Biggs\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Currently, financial markets are far from efficient\u0026nbsp;because they do not fully incorporate information available in large unstructured text data. With the latest development in natural language processing techniques, we can better understand the economy and therefore price financial markets better.\u0026quot; \u0026ndash; Agam A. Shah\u003C\/p\u003E\r\n\r\n\u003Ch5\u003EThere\u0026rsquo;s been increasing recognition of the vital role ethics should play in artificial intelligence. How do you see this issue evolving in the next year?\u003C\/h5\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Specifically in my research, I think explainable AI (XAI) is very important, especially if non-experts in ML will be using black-box ML solutions in a factory. It will be important for humans to trust and to understand the models especially if the models are being using to monitor quality on a safety-critical part.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Additionally, using XAI for human interaction with robots that utilize deep learning to make decisions will be increasingly important as technologies like collaborative robots (cobots) are integrated into factories. I think in my area of research that it is always important to use automation to aid humans in jobs that are safe for humans to do and not to replace them.\u0026quot; \u0026ndash; Zoe Klesmith Alexander\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Big data is pretty much at its peak. Deep data, where your Alexa knows everything about you, or your phone knows everything about you, and rather than saying \u0026#39;other people who watched this show liked this show,\u0026#39; it\u0026#39;s going to say, \u0026#39;I know you liked these shows, I think you\u0026#39;ll like this show because of these reasons, one of which is because other people who liked all these other shows liked this show.\u0026#39; The ethical element will be how much of this data should these models use, and are people going to build a personal dataset that they can share with other apps, or is each app going to need to build their own dataset? The ethical question is who owns this data.\u0026quot; \u0026ndash; Brandon Biggs\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;I think ethics will become more and more important going forward. We are making huge breakthroughs in machine learning and artificial intelligence, but the systems we are creating are producing racist, sexist, and stereotypical results. For example, a recent system, Galactica, developed by Facebook (Meta) is powerful. It can produce research articles by just simply providing it with the title. It comes with some serious ethical concerns, in some cases, it produces racist, sexist text. So, as we will keep developing better models and making success in parallel, we need to always keep in mind the ethical implications of these models.\u0026quot; \u0026ndash; Agam A. Shah\u003C\/p\u003E\r\n\r\n\u003Ch5\u003EWhat research are you working on that you think people should know about or will have impact in 2023?\u003C\/h5\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Part of my research focuses on data-driven modeling of additive manufacturing processes\u0026nbsp;to better control dimensional quality of the final part. Another part of my research focuses on detecting anomalies in real-time using computer vision and machine learning for both warehouses and manufacturing processes.\u0026quot; \u0026ndash; Zoe Klesmith Alexander\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Right now, deep learning is built on feed-forward mathematical operations\u0026nbsp;that have little resemblance to the brain. I am working on a physics inspired approach to deep learning built around recurrent networks and energy functions. These architectures have the same mathematical foundation as the famous, biologically plausible Hopfield Network.\u0026quot; \u0026ndash; Ben Hoover\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;I am currently working on two projects which, in my opinion, will have an impact in 2023. In one project, we are measuring the exposure of public firms to ongoing inflation. We are also understanding how inflation affects different firms differently based on the pricing power of the firm. As inflation is the highest in the last 40 years, our study is highly relevant now and in the coming years till we get inflation back in control.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;The second work is related to the first work in some ways. As inflation is rising, to control the inflation Federal Reserve Bank is tightening its monetary policy. In our second work, we are measuring the stance of monetary policy (measuring hawkish vs dovish stance) of the Fed using state-of-the-art NLP models to see its impact in various financial markets (Treasury market, Stock market, Crypto market, etc.)\u0026quot; \u0026ndash; Agam A. Shah\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A group of Ph.D. students from the GT Computing community share their opinions on what\u0027s next for artificial intelligence in the new year."}],"uid":"32045","created_gmt":"2023-01-10 19:56:15","changed_gmt":"2023-01-11 13:19:57","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-01-10T00:00:00-05:00","iso_date":"2023-01-10T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"664620":{"id":"664620","type":"image","title":"ATL Skyline Reflected in Binary Bridge","body":null,"created":"1673381152","gmt_created":"2023-01-10 20:05:52","changed":"1673381152","gmt_changed":"2023-01-10 20:05:52","alt":"ATL skyline reflected in Binary Bridge","file":{"fid":"251459","name":"ATL Skyline Reflection-Binary Bridge.jpeg","image_path":"\/sites\/default\/files\/images\/ATL%20Skyline%20Reflection-Binary%20Bridge.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/ATL%20Skyline%20Reflection-Binary%20Bridge.jpeg","mime":"image\/jpeg","size":50853,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/ATL%20Skyline%20Reflection-Binary%20Bridge.jpeg?itok=V4IM1dF8"}}},"media_ids":["664620"],"groups":[{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"},{"id":"1188","name":"Research Horizons"}],"categories":[],"keywords":[{"id":"191885","name":"M3GAN"},{"id":"2835","name":"ai"},{"id":"46361","name":"GT computing"},{"id":"191886","name":"What\u0027s Next for 2023"},{"id":"122801","name":"ML"},{"id":"2556","name":"artificial intelligence"},{"id":"9167","name":"machine learning"},{"id":"180344","name":"nlp"},{"id":"23981","name":"natural language processing"},{"id":"109581","name":"deep learning"},{"id":"176999","name":"neural networks"},{"id":"187915","name":"go-researchnews"}],"core_research_areas":[{"id":"39461","name":"Manufacturing, Trade, and Logistics"},{"id":"39501","name":"People and Technology"},{"id":"39521","name":"Robotics"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBen Snedeker, Comms. Mgr. II\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:albert.snedeker@cc.gatech.edu?subject=What\u0027s%20Next%20in%20AI%20for%202023\u0022\u003Ealbert.snedeker@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["albert.snedeker@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"663915":{"#nid":"663915","#data":{"type":"news","title":"School of CSE Celebrates 2022 with Fall Convocation Ceremonies ","body":[{"value":"\u003Cp\u003EThis weekend, Georgia Tech will celebrate thousands of graduates who, at the turn of a tassel, will transcend from students to alumni. The School of Computational Science and Engineering (CSE) will participate in Fall 2022 Commencement festivities by conferring 23 graduate degrees, Dec. 16, at Bobby Dodd Stadium.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDonning her gold, velvet robe and tam for the first time,\u0026nbsp;\u003Ca href=\u0022https:\/\/xiaojingan.com\/\u0022\u003E\u003Cstrong\u003EXiaojing An\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;(Ph.D. CSE 22) will walk across the stage at the doctoral ceremony, set for 10 a.m. While attending Georgia Tech, An studied under School of CSE Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/people\/umit-v-catalyurek\u0022\u003E\u003Cstrong\u003E\u0026Uuml;mit V. \u0026Ccedil;ataly\u0026uuml;rek\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;where she specialized in research on high performance sparse computation and data tiling.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAn\u0026rsquo;s next step is to work at Meta where she will apply knowledge and experience attained through her Ph.D. studies.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;My favorite memory from Georgia Tech is hanging out with my amazing friends in the lab,\u0026rdquo; An said. \u0026ldquo;They all have great vibes, positive attitudes, and they were all super nice and supportive. They made my Ph.D. experience so much happier.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech will bestow 22 total graduates with Master of Science in Computational Science and Engineering degrees at the 3:00 p.m. ceremony. New CSE alumni include:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERiya Bakhtiani (MS CSE 22)\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESasha Bakker (MS CSE 22)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKevin Cai (MS CSE 22)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJongseok Han (MS CSE 22)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChristopher Hillenbrand (MS CSE 22)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJulien Jaber (MS CSE 22)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZhe Ji (MS CSE 22)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZongen Li (MS CSE 22)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZiwen Lin (MS CSE 22)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMengyang Liu (MS CSE 22)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBichuan Mo (MS CSE 22)\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESarath Mutnuru (MS CSE 22)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHanting Su (MS CSE 22)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAbhijeet Tomar (MS CSE 22)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKethaki Varadan (MS CSE 22)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZhaoding Wang (MS CSE 22)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShuran Wen (MS CSE 22)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZiheng Xiao (MS CSE 22)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChengde Xu (MS CSE 22)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShuhan Yang (MS CSE 22)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlong with these 20 graduates, two Ph.D. students completed their M.S. degrees as they continue studying in the School of CSE\u0026rsquo;s doctoral program.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.lavin.cc\/\u0022\u003E\u003Cstrong\u003EPatrick Lavin\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;(MS CSE-CSE 22) will continue research on computer architecture simulation in high-performance computing. He is advised by School of CSE Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/people\/richard-vuduc\u0022\u003E\u003Cstrong\u003ERich Vuduc\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;and School of Computer Science Senior Research Scientist\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/jeffrey-young\u0022\u003E\u003Cstrong\u003EJeff Young\u003C\/strong\u003E\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/apaarshanker.org\/\u0022\u003E\u003Cstrong\u003EApaar Shanker\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;(MS CSE-CSE 22) studies under Regents\u0026rsquo; Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/people\/surya-kalidindi\u0022\u003E\u003Cstrong\u003ESurya Kalidindi\u003C\/strong\u003E\u003C\/a\u003E, who holds a joint appointment between the George W. Woodruff School of Mechanical Engineering and the School of CSE. Shanker\u0026rsquo;s research focuses on developing artificial intelligence tools for automating and accelerating materials discovery.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETech no longer holds summer graduation activities, so nine School of CSE graduates that\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/summer-class-joins-alumni-cohort\u0022\u003Ecompleted degrees this past summer\u003C\/a\u003E\u0026nbsp;will have the opportunity to participate in the Fall 2022 Commencement.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile \u0026ldquo;getting out\u0026rdquo; of Tech is the crowning achievement for many of these graduates today, bright futures still lay ahead.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese graduates will move on to work in industry, academia, and national labs, embodying the School of CSE as a diverse, interdisciplinary innovation ecosystem composed of award-winning researchers. This graduating class represents the next generation of leaders who will solve future problems in science, engineering, health, and social domains.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Georgia Tech is a highly respected school in computer science and technology, thus opening more opportunities for students,\u0026rdquo; An said. \u0026ldquo;Tech has also prepared us through both theoretical and practical courses and provided us with resources for research and study to help us become better researchers.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The School of Computational Science and Engineering (CSE) will participate in Fall 2022 Commencement festivities by conferring 23 graduate degrees, Dec. 16, at Bobby Dodd Stadium."}],"uid":"36319","created_gmt":"2022-12-15 14:36:27","changed_gmt":"2022-12-15 14:36:27","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-12-15T00:00:00-05:00","iso_date":"2022-12-15T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"663914":{"id":"663914","type":"image","title":"Handing Diploma","body":null,"created":"1671114755","gmt_created":"2022-12-15 14:32:35","changed":"1671114755","gmt_changed":"2022-12-15 14:32:35","alt":"Handing Diploma","file":{"fid":"251311","name":"Handing Diploma.JPG","image_path":"\/sites\/default\/files\/images\/Handing%20Diploma.JPG","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Handing%20Diploma.JPG","mime":"image\/jpeg","size":207860,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Handing%20Diploma.JPG?itok=yJ_4VUvv"}}},"media_ids":["663914"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"129","name":"Institute and Campus"},{"id":"130","name":"Alumni"},{"id":"42901","name":"Community"},{"id":"134","name":"Student and Faculty"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"663489":{"#nid":"663489","#data":{"type":"news","title":"Meet CSE Profile: Professor Edmond Chow","body":[{"value":"\u003Cp\u003E2022 has been a busy year for School of Computational Science and Engineering (CSE) Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~echow\/\u0022\u003E\u003Cstrong\u003EEdmond Chow\u003C\/strong\u003E\u003C\/a\u003E. He was promoted to professor and co-chaired the annual meeting for the Society for Industrial and Applied mathematics (SIAM), all while teaching classes, advising students, and serving as an associate chair for the School of CSE.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChow recently attended the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22) where he presented research and chaired a finalist session for the Gordon Bell Special Prize for COVID-19 research. Upon his return to Atlanta, we sat down with him to reflect on a memorable year and his tenure with the School of CSE.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EFaculty:\u0026nbsp;\u003C\/strong\u003EEdmond Chow\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPosition:\u003C\/strong\u003E\u0026nbsp;School of CSE Professor and Associate Chair\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EResearch Interests:\u0026nbsp;\u003C\/strong\u003ENumerical methods for high-performance computers applied to scientific computing and data science problems\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EHometown\u003C\/strong\u003E: Toronto, Ontario, Canada\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETell us a bit about your research\u003C\/strong\u003E: I\u0026rsquo;ve always been interested in science, mathematics, and computing. My research brings all these things together: using mathematical models of physical phenomena and solving these models on a computer. It turns out that the computational expense of solving these models is very high, so we need to efficiently use large, parallel computers. Designing algorithms for solving mathematical models that can run efficiently on complex, high-performance computers is the focus of my research. Useful results in this area can enable computational scientists to understand nature in ways that they couldn\u0026rsquo;t before.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EHow did you first become interested in numerical methods\u003C\/strong\u003E? In high school, I was curious about how computers knew how to compute elementary functions, such as sine and cosine. Then I became interested in writing a program that could compute pi to thousands of decimal places. I did not know it at the time, but numerical methods are about how to compute an accurate result without having roundoff error on a computer spoiling your answer. Many methods that are used are surprisingly elegant.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EThe School of CSE was originally founded as a division in 2005. You came to Georgia Tech in 2010, the same year the CSE Division became the School of CSE. What initially attracted you to Georgia Tech?\u003C\/strong\u003E\u0026nbsp;Georgia Tech had the vision to establish CSE as a separate unit different from computer science and mathematics. Almost no other universities have done that. I admired what Georgia Tech was doing and the people already in CSE at that time. I could not picture myself as a professor in a computer science or math department, but CSE is exactly what I\u0026rsquo;m trained for and what I want to do.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAnd what has kept you here for the past 12 years?\u003C\/strong\u003E\u0026nbsp;Using computing to help solve problems in science and engineering is an incredibly fruitful approach to addressing many of the world\u0026rsquo;s problems, and thus the world needs more people working in computational science and engineering. This was very clear to me in my industrial and laboratory positions before coming to Georgia Tech. Advancing the field of CSE and training students to work in CSE areas are the main reasons I\u0026rsquo;m here.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EYou were recently selected as a SIAM Fellow in 2021. What does becoming a fellow mean to you?\u003C\/strong\u003ESIAM has built a community to promote industrial, applied, and computational mathematics, and has given me and others a lot of opportunities to meet people, and for leadership. I\u0026rsquo;m proud to be part of this community and effort, and it is an honor to be recognized by my peers for my work.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EThis year at SC22, you and one of your students,\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/meet-cse-profile-phd-student-hua-huang\u0022\u003E\u003Cstrong\u003EHua Huang\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E, presented a new algorithm called CA3DMM. What should people know about this\u003C\/strong\u003E? CA3DMM is a fast way to perform matrix multiplication on large, distributed memory parallel computers. It\u0026rsquo;s a lot simpler than comparable state-of-the-art algorithms. The problem was motivated while working with collaborators in computational chemistry. Cross-disciplinary collaborations are a great way to find important problems and interesting ideas.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EYou\u0026rsquo;ve been serving as an associate chair for the School of CSE for a little more than a year. What does this role mean for you?\u003C\/strong\u003E\u0026nbsp;This role has helped me see the huge effort it takes among many people to create an environment that fosters learning and research. This effort underscores the service and dedication that is required to sustain or grow such an environment. It has helped me see the excitement that leaders have here about the great things and great possibilities at Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhat are some advantageous or unique aspects of living and working in Atlanta?\u003C\/strong\u003E\u0026nbsp;This is obvious \u0026ndash; in the past ten years, even during the pandemic, there has been incredible growth in the midtown area around Georgia Tech. This comes with construction of shiny new buildings and businesses, attracting technical and non-technical people alike. Also, the food scene has become diverse and plentiful in Atlanta. I can also say that Atlanta is becoming friendlier to people on bikes, like me.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhat are some of your hobbies\u003C\/strong\u003E? I like playing badminton and squash. During the pandemic, I became interested in making things with microcontrollers. I\u0026rsquo;ve also recently restarted reading books that don\u0026rsquo;t contain equations.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Profile of School of Computational Science and Engineering (CSE) Professor Edmond Chow. "}],"uid":"36319","created_gmt":"2022-11-29 15:39:48","changed_gmt":"2022-11-29 15:39:48","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-11-29T00:00:00-05:00","iso_date":"2022-11-29T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"663488":{"id":"663488","type":"image","title":"Meet CSE: Professor Edmond Chow","body":null,"created":"1669736200","gmt_created":"2022-11-29 15:36:40","changed":"1669736200","gmt_changed":"2022-11-29 15:36:40","alt":"Meet CSE Edmond Chow","file":{"fid":"251134","name":"Meet CSE Edmond Chow1.jpg","image_path":"\/sites\/default\/files\/images\/Meet%20CSE%20Edmond%20Chow1.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Meet%20CSE%20Edmond%20Chow1.jpg","mime":"image\/jpeg","size":231717,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Meet%20CSE%20Edmond%20Chow1.jpg?itok=ApdUlcMw"}}},"media_ids":["663488"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"42901","name":"Community"},{"id":"134","name":"Student and Faculty"},{"id":"135","name":"Research"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"663428":{"#nid":"663428","#data":{"type":"news","title":"School Welcomes Four New Assistant Professors","body":[{"value":"\u003Cp\u003EGeorgia Tech\u0026rsquo;s School of Computational Science and Engineering (CSE) is continuing to grow with the hire of four tenure-track faculty.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssistant Professors\u0026nbsp;\u003Cstrong\u003EPeng Chen\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EVictor Fung\u003C\/strong\u003E\u0026nbsp;joined CSE at the beginning of the 2022 fall semester.\u0026nbsp;\u003Cstrong\u003EElizabeth Qian\u003C\/strong\u003E\u0026nbsp;began work Nov. 1 at Georgia Tech as a joint appointment assistant professor with the Daniel Guggenheim School of Aerospace Engineering and the School of CSE.\u0026nbsp;\u003Cstrong\u003ENisha Chandramoorthy\u003C\/strong\u003E\u0026nbsp;will join the School in Spring 2023 as an assistant professor.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe addition of these professors increases the School of CSE\u0026rsquo;s faculty total to 24, the highest in School history. This expansion is emblematic of the School\u0026rsquo;s enduring mission to develop scholars who solve real-world problems through advances in computational modeling methods and techniques.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~pchen402\/\u0022\u003EPeng Chen\u003C\/a\u003E\u0026nbsp;comes to CSE from the University of Texas at Austin where he was a research scientist with the Oden Institute for Computational Engineering and Sciences. Prior to that, he was a postdoctoral associate and instructor at ETH (Eidgen\u0026ouml;ssische Technische Hochschule), a public research university in Z\u0026uuml;rich, Switzerland.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChen attained his Ph.D. in 2014 in computational mathematics and M.S. in 2011 in mathematical sciences at EPFL (\u0026Eacute;cole Polytechnique F\u0026eacute;d\u0026eacute;rale de Lausanne) in Switzerland. In 2009, he received his B.S. in mathematics from Xi\u0026rsquo;an Jiatong University.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I found the faculty and staff members at CSE very generous and supportive in helping junior faculty for career development by providing various, interactive opportunities,\u0026rdquo; said Chen. \u0026ldquo;I also like the collaborative culture at Georgia Tech, which has ten interdisciplinary research institutes that bring researchers from different disciplines to work together in addressing topics of strategic importance such as data science, AI, energy, climate, and human health.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBefore arriving to Georgia Tech,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.fung-group.org\/\u0022\u003EVictor Fung\u003C\/a\u003E\u0026nbsp;was the Eugene P. Wigner Fellow at Oak Ridge National Laboratory where he worked in the Nanomaterials Theory Institute.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFung studied physical chemistry at the University of California, Riverside where he completed his Ph.D. in 2019. He attained his B.S. in 2015 from Cornell University where he majored in chemistry.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;CSE attracted me due to being a uniquely multidisciplinary department in the country which is well-situated to be at the forefront of research at the intersection of artificial intelligence, machine learning, and the sciences,\u0026rdquo; Fung said. \u0026ldquo;So far, I have very much enjoyed being in the Atlanta area and also talking with all the students and faculty across various departments in the Institute.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe addition of\u0026nbsp;\u003Ca href=\u0022https:\/\/www.elizabethqian.com\/\u0022\u003EElizabeth Qian\u003C\/a\u003E\u0026nbsp;raises CSE\u0026rsquo;s joint appointment professors total to five. She comes to Atlanta following a postdoctoral appointment as von Karman Instructor at CalTech in the Department of Computing + Mathematical Sciences.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EQian received all her degrees from the Massachusetts Institute of Technology (MIT). These include a S.B. in 2014 and S.M. in 2017, both in aerospace engineering, as well as her Ph.D. in 2021 in computational science and engineering.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The first few weeks of being an assistant professor remind me a little of the first few weeks of college \u0026mdash; there are a lot of new people and new systems to get to know, and all the faculty and staff have been really welcoming and eager to help me figure things out,\u0026rdquo; Qian said. \u0026ldquo;I\u0026rsquo;m looking forward to getting into the swing of things and teaching my first course in the Spring.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENisha Chandramoorthy also has ties to MIT where she most recently was a postdoctoral associate with their\u0026nbsp;\u003Ca href=\u0022https:\/\/idss.mit.edu\/staff\/nisha-chandramoorthy\/\u0022\u003EInstitute for Data, Systems, and Society\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChandramoorthy attained her Ph.D. in 2021 and S.M. in 2016, both from MIT. Her doctorate is in mechanical engineering and computation while her master\u0026rsquo;s degree is in computation for design and optimization. She completed her B. Tech in mechanical engineering in 2014 at the Indian Institute of Technology, Roorkee.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;By its nature, foundational research in computational mathematics is motivated by and can prove useful to practical questions in a variety of scientific and engineering fields,\u0026rdquo; said Chandramoorthy. \u0026ldquo;I sensed that CSE recognizes this and offers a place where applied mathematicians asking questions at various levels of abstractions can coexist and collaborate.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech\u2019s School of Computational Science and Engineering (CSE) is continuing to grow with the hire of four tenure-track faculty."}],"uid":"36319","created_gmt":"2022-11-23 15:20:29","changed_gmt":"2022-11-23 15:20:29","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-11-23T00:00:00-05:00","iso_date":"2022-11-23T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"663427":{"id":"663427","type":"image","title":"CSE New Faculty 2022","body":null,"created":"1669216665","gmt_created":"2022-11-23 15:17:45","changed":"1669216665","gmt_changed":"2022-11-23 15:17:45","alt":"CSE New Faculty 2022","file":{"fid":"251121","name":"cse_new_faculty_fall 2022.jpg","image_path":"\/sites\/default\/files\/images\/cse_new_faculty_fall%202022.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/cse_new_faculty_fall%202022.jpg","mime":"image\/jpeg","size":720007,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/cse_new_faculty_fall%202022.jpg?itok=p1ZS-pyJ"}}},"media_ids":["663427"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"663235":{"#nid":"663235","#data":{"type":"news","title":"Biomedical Analytics Research Earns Team Gordon Bell Prize Nomination","body":[{"value":"\u003Cp\u003EA research team of scientists from Georgia Tech, Oak Ridge National Laboratory (ORNL), University of California San Francisco (UCSF), and AMD have developed the first ever algorithm to run over one exaflop on a graph artificial intelligence demonstration.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECalled COAST\u0026nbsp;(Exascale Communication-Optimized All-Pairs Shortest Path), the algorithm could help future researchers solve medicine\u0026rsquo;s most challenging mysteries by revealing hidden connections across large bodies of research. This would revolutionize medical research by developing better treatment plans, creating more effective drugs, and improving efficiency of resource allocations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs a result of their research, the Association of Computing Machinery (ACM) nominated the team for the 2022 Gordon Bell Prize, commonly referred to as the Nobel Prize of supercomputing.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Within HPC (high-performance computing), COAST shows that classical ideas in algorithms and performance engineering are still critical to scaling to big machines, like ORNL\u0026rsquo;s Frontier,\u0026rdquo; said\u0026nbsp;\u003Ca href=\u0022https:\/\/vuduc.org\/v2\/\u0022\u003E\u003Cstrong\u003ERich Vuduc\u003C\/strong\u003E\u003C\/a\u003E, a professor with Georgia Tech\u0026rsquo;s School of Computational Science and Engineering (CSE). \u0026ldquo;More importantly, we now have a new capability that may help speed up the search for new ideas in the biomedical domain.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe magnitude of computing power needed to complete COAST\u0026rsquo;s computations requires access to supercomputers. Therefore, the team tested COAST on\u0026nbsp;\u003Ca href=\u0022https:\/\/www.olcf.ornl.gov\/frontier\/\u0022\u003EORNL\u0026rsquo;s Frontier\u003C\/a\u003E, the world\u0026rsquo;s first exascale supercomputer, and Summit.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWith computing speeds of 1.102 exaflops per second, Frontier jumped to first place of the TOP500 list of fastest supercomputers when it became operational in May 2022. Summit currently ranks fourth on the list.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAn exaflop is a measure of performance for a supercomputer that can calculate one quintillion floating-point operations per second. If a person calculated a simple math problem in one second, it would take that person about 30 billion years to complete one quintillion operations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn their study, the team tested COAST twice on Frontier and Summit. On one test, the supercomputers carried COAST at a speed of 1.004 exaflops per second for 11.7 minutes. On the other, COAST reached a speed of 1.008 exaflops while completing calculations in 15.2 minutes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team applied COAST to\u0026nbsp;\u003Ca href=\u0022https:\/\/spoke.ucsf.edu\/\u0022\u003EUCSF\u0026rsquo;s Scalable Precision Medicine Open Knowledge Engine (SPOKE)\u003C\/a\u003E. SPOKE is an evolving biomedical knowledge network that integrates over 40 data sources into a graph with more than 50 million vertices and more than 100 million edges.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe SPOKE graph database facilitates discovery of new knowledge by enabling users to explore the graph\u0026rsquo;s structure and run analytical queries, like COAST, against it. The interorganizational team cited that past researchers used SPOKE to better understand Covid-19 and find treatments for the virus.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEssentially, COAST wades through these millions of vertices and edges to discover connections across the massive medical data network. On its 1.004 exaflop trial, COAST computed on a SPOKE graph segment of 7.06 million vertices drawing from 18 million publications.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs a result, this is the first scientific study on the integration of SPOKE with publication information through use of an all-pairs, shortest path algorithm.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe project also carries sentimental meaning as it brought together a small but growing community of computational scientists.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJoining Vuduc in the research group from the School of CSE is Ph.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/thakkarv.dev\/\u0022\u003E\u003Cstrong\u003EVijay Thakkar\u003C\/strong\u003E\u003C\/a\u003E. ORNL research scientists\u0026nbsp;\u003Ca href=\u0022https:\/\/ramkikannan.com\/\u0022\u003E\u003Cstrong\u003ERamakrishnan Kannan\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;(Ph.D. CS 16)\u0026nbsp;and\u0026nbsp;\u003Ca href=\u0022https:\/\/www.ornl.gov\/staff-profile\/piyush-k-sao\u0022\u003E\u003Cstrong\u003EPiyush Sao\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;(Ph.D. CSE 18)\u0026nbsp;led the study and\u0026nbsp;also have ties to the School of CSE as alumni and Vuduc\u0026rsquo;s former students.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In CSE, we pride ourselves on being a family,\u0026rdquo; Vuduc said. \u0026ldquo;This study is a multi-generational collaboration that speaks truth that we stay close, even past graduation.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThough it would take the human brain hundreds of billions of years to calculate the same number of computations as COAST, the HPC community won\u0026rsquo;t have to wait long to learn the winner of this year\u0026rsquo;s Gordon Bell Prize.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EACM will announce the winner Nov. 17 at\u0026nbsp;\u003Ca href=\u0022https:\/\/sc22.supercomputing.org\/\u0022\u003EInternational Conference for High Performance Computing, Networking, Storage, and Analysis\u003C\/a\u003E. Commonly called SC22, the conference is held this year in Dallas Nov. 13-18.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The 2005 strategic plan for the School of CSE predicted that HPC would be critical to data mining and analysis problems,\u0026rdquo; said Vuduc. \u0026ldquo;This nomination is the culmination of hard work done toward realizing that vision.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Computational scientists have developed the first ever algorithm to run over one exaflop on a graph artificial intelligence demonstration. "}],"uid":"36319","created_gmt":"2022-11-16 14:58:12","changed_gmt":"2022-11-16 14:58:12","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-11-16T00:00:00-05:00","iso_date":"2022-11-16T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"663234":{"id":"663234","type":"image","title":"Biomedical Analytics Research Earns Team Gordon Bell Prize Nomination","body":null,"created":"1668610478","gmt_created":"2022-11-16 14:54:38","changed":"1668610478","gmt_changed":"2022-11-16 14:54:38","alt":"2022 Gordon Bell Prize","file":{"fid":"251078","name":"biomedical_analytics_research story copy.jpg","image_path":"\/sites\/default\/files\/images\/biomedical_analytics_research%20story%20copy.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/biomedical_analytics_research%20story%20copy.jpg","mime":"image\/jpeg","size":257205,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/biomedical_analytics_research%20story%20copy.jpg?itok=C_zwC-0R"}}},"media_ids":["663234"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"129","name":"Institute and Campus"},{"id":"130","name":"Alumni"},{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"},{"id":"135","name":"Research"},{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"146","name":"Life Sciences and Biology"}],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"662834":{"#nid":"662834","#data":{"type":"news","title":"Meet CSE Profile: Ph.D. student Hua Huang","body":[{"value":"\u003Cp\u003ESC22 is right around the corner and several researchers from the School of Computational Science and Engineering (CSE) are presenting at the annual conference.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWith this opportunity, we\u0026rsquo;d like to introduce one of our own, CSE Ph.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/huanghua1994.github.io\/\u0022\u003E\u003Cstrong\u003EHua Huang\u003C\/strong\u003E\u003C\/a\u003E, to talk about research,\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/gtsc22\/\u0022\u003EGeorgia Tech at SC22\u003C\/a\u003E, and life at the School of CSE.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EStudent:\u0026nbsp;\u003C\/strong\u003EHua Huang\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAdvisor:\u003C\/strong\u003E\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~echow\/\u0022\u003E\u003Cstrong\u003EEdmond Chow\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EResearch Interests:\u0026nbsp;\u003C\/strong\u003EHigh-performance computing (HPC), parallel computing, computational chemistry\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EProgram Home Unit:\u0026nbsp;\u003C\/strong\u003ECSE\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECurrent Degree Program:\u003C\/strong\u003E\u0026nbsp;Ph.D. in Computational Science and Engineering\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EHometown\u003C\/strong\u003E: Guangzhou, Guangdong Province, China\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETell us little bit about your research\u003C\/strong\u003E: I mainly work on designing and implementing high-performance and scalable algorithms used in computational chemistry and other scientific computing tasks.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EHow did you become interested in HPC\u003C\/strong\u003E? When I was in high school, I occasionally read a blog about the Berkeley Open Infrastructure for Network Computing (BOINC) project. BOINC aggregates a lot of personal computers into a large \u0026ldquo;supercomputer\u0026rdquo; for scientific research. This project inspired my interest in scientific computing and high-performance computing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EYou\u0026rsquo;re presenting at SC22. How are you feeling about this\u003C\/strong\u003E? I am very excited after working from home for almost three years. Online meetings are convenient, but face-to-face communication is irreplaceable.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAt SC22, you\u0026rsquo;re presenting a new algorithm called CA3DMM. What should people know about this\u003C\/strong\u003E? Matrix multiplication is a well-studied topic in high-performance computing.\u0026nbsp;It\u0026nbsp;is also a building block of modern artificial intelligence computations. Before CA3DMM, some parallel algorithms already have the optimal cost, but they are hard to understand and implement. CA3DMM uses a new and simple approach and still has the optimal cost.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhat interested you about Georgia Tech while applying to graduate programs\u003C\/strong\u003E? Georgia Tech is very strong in STEM. Further, many professors work on high-performance computing and scientific computing in the College of Computing. Therefore, I think Georgia Tech has plenty of opportunities for my interest. A minor reason is that Atlanta is in the south, the weather here is better than that in the north.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EYou attained your M.S. degree at Georgia Tech in 2019 and are currently pursuing your Ph.D. What do you like about Georgia Tech\u003C\/strong\u003E? The diversity of students. CSE has a lot of interdisciplinary studies, so I\u0026nbsp;metmany new friends from different home units. It is very interesting to know the things they are doing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhat are some of your hobbies\u003C\/strong\u003E? Running. I run five miles a day as my daily workout. I like running outside since I can enjoy the beauty of nature and sort out my mind.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Meet CSE Profile: Ph.D. student Hua Huang"}],"uid":"36319","created_gmt":"2022-11-03 18:11:23","changed_gmt":"2022-11-03 18:11:23","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-11-03T00:00:00-04:00","iso_date":"2022-11-03T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"662833":{"id":"662833","type":"image","title":"Meet CSE: Hua Huang","body":null,"created":"1667498877","gmt_created":"2022-11-03 18:07:57","changed":"1667498877","gmt_changed":"2022-11-03 18:07:57","alt":"Meet CSE: Hua Huang","file":{"fid":"250972","name":"New HH1.jpg","image_path":"\/sites\/default\/files\/images\/New%20HH1.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/New%20HH1.jpg","mime":"image\/jpeg","size":215517,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/New%20HH1.jpg?itok=ul7_ep0O"}}},"media_ids":["662833"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"129","name":"Institute and Campus"},{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"},{"id":"135","name":"Research"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"662017":{"#nid":"662017","#data":{"type":"news","title":"Researchers to Study Connection Between Online Misinformation and Real-World Violence","body":[{"value":"\u003Cp\u003EIt is well known that predators lurk on the internet seeking to harm others through misinformation, bullying, and hate speech. What is not understood, however, is how online abuse and harassment like this spread via misinformation can lead to real, physical violence in communities.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo understand and counter this phenomenon, faculty with Georgia Tech\u0026rsquo;s College of Computing is leading a two-year study on the impact of online violence-provoking misinformation and hate speech toward minority populations.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERealizing the implication on public health and safety, the Center of Disease Control and Prevention (CDC) is funding the study through a $678,000 grant. Georgia Tech\u0026rsquo;s\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~srijan\/\u0022\u003E\u003Cstrong\u003ESrijan Kumar\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;is the principal investigator of the CDC grant while\u0026nbsp;\u003Ca href=\u0022http:\/\/www.munmund.net\/\u0022\u003E\u003Cstrong\u003EMunmun De\u003C\/strong\u003E\u0026nbsp;\u003Cstrong\u003EChoudhury\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;is co-PI.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The conversations we have and the information we consume on the web really shape our behavior not just online, but in the real-world,\u0026rdquo; said Kumar, an assistant professor with the School of Computational Science and Engineering. \u0026ldquo;We need systematic evaluations and an all-hands-on-deck approach to study what sort of societal impact harmful online content has on health, equity, integrity, and safety.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EInspiration for this study comes from the researchers\u0026rsquo; observations of prevalent hate speech and calls for racially motivated violence on the internet and social media. This issue became more prominent during the Covid-19 pandemic.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn their grant proposal, the researchers say more than 11,000 incidents of physical violence and online aggression against Asians were reported during the pandemic. They also state that misinformation about Covid-19 led to destruction of property and over 800 deaths.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo understand the connection between virtual misinformation and physical violence, the study has four stated goals:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EIdentify health misinformation that promotes community violence\u003C\/li\u003E\r\n\t\u003Cli\u003EMap and measure prevalence of violence-provoking health misinformation across social media platforms\u003C\/li\u003E\r\n\t\u003Cli\u003EEstablish the causal impact of such misinformation on consumers\u0026rsquo; reactions and intention to engage in harm\u003C\/li\u003E\r\n\t\u003Cli\u003EDesign mitigation and intervention strategies to reduce the prevalence of such misinformation\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EAccording to the group, social media is often \u0026ldquo;ground-zero\u0026rdquo; for health misinformation where it spreads at exceptional speed and scale. That is why the team intends to study hate speech and misinformation on social media platforms Twitter and Reddit.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The very use of these platforms is impacting us in different ways. Sometimes these impacts are good, sometimes they are bad,\u0026rdquo; said De Choudhury, an associate professor with the School of Interactive Computing. \u0026ldquo;As we think about our wellbeing and the role of these online platforms, we cannot ignore the very fact that misinformation on those platforms is affecting our wellbeing in negative ways.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe group selected Twitter and Reddit specifically due to their prominence in networking and wide range of demographically diverse users, a fact supported by Pew Internet Research statistics.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDiversity of the two social media platforms make them the ideal ecosystem for what the group intends to observe: anti-Asian and Anti-Black violence-provoking misinformation.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGiven the correlation of Covid-19 misinformation spread and increase of discrimination and violence toward Asian and Black communities during the pandemic, the researchers believe their findings will make meaningful impact for people affected by this public health issue.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor example, the group points out that misinformation masquerading as medical racism further targeted Black communities. As a result, this both degraded trust in institutions and diminished vaccine efficacy during the Covid-19 pandemic.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPurdue University Assistant Professor\u0026nbsp;\u003Cstrong\u003ELaura Schwab-Reese\u003C\/strong\u003E, an expert in community and behavioral health, joins Kumar and\u0026nbsp;De Choudhury the research group. Together, they will collaborate with the non-profit Anti-Defamation League during the study. Backed with CDC funding, the team will develop tools to study and find solutions to violence-provoking health misinformation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor example, the researchers will start by developing algorithms to detect health misinformation and violence-provoking hate speech targeting minorities. These algorithms will rely on the latest machine learning methodologies and social media data sets.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFrom there, the group can build an interactive dashboard that maps the spread of violence-provoking misinformation online and offers analytic capabilities on the visualized data for end users. This will provide quantitative insight about the causal relationship between misinformation exposure and violent attitudes toward targeted communities.\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFinally, the team will provide an intervention design plan to mitigate the impact of the misinformation. This will include presenting exploratory evaluation of interventions, and even creating new social media-based intervention tools that can interrupt misinformation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBy leveraging computing methods and interdisciplinary collaboration, the group is poised to make online and physical communities safer places for all.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The reason we are partnering with the Anti-Defamation League and public health researchers is because community engagement is paramount in this work,\u0026rdquo; De Choudhury said. \u0026ldquo;One of the unique things about this study is that the computational techniques and interventions we will develop will be informed by the communities who are targeted by these incidents.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Srijan Kumar and Munmun De Choudhury receive CDC grant"}],"uid":"36319","created_gmt":"2022-10-12 13:47:12","changed_gmt":"2022-10-12 13:47:12","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-10-12T00:00:00-04:00","iso_date":"2022-10-12T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"662016":{"id":"662016","type":"image","title":"Srijan and Munmun 2022","body":null,"created":"1665582182","gmt_created":"2022-10-12 13:43:02","changed":"1665582182","gmt_changed":"2022-10-12 13:43:02","alt":"Srijan Kumar and Munmun De Choudhury","file":{"fid":"250750","name":"Srijan and Munmun 2022.jpg","image_path":"\/sites\/default\/files\/images\/Srijan%20and%20Munmun%202022.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Srijan%20and%20Munmun%202022.jpg","mime":"image\/jpeg","size":81952,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Srijan%20and%20Munmun%202022.jpg?itok=S-xGEQ9G"}}},"media_ids":["662016"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"129","name":"Institute and Campus"},{"id":"42901","name":"Community"},{"id":"134","name":"Student and Faculty"},{"id":"135","name":"Research"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"151","name":"Policy, Social Sciences, and Liberal Arts"}],"keywords":[{"id":"76231","name":"Computational Science and Engineering"}],"core_research_areas":[{"id":"145171","name":"Cybersecurity"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39501","name":"People and Technology"},{"id":"39511","name":"Public Service, Leadership, and Policy"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"661677":{"#nid":"661677","#data":{"type":"news","title":"New Tool Makes Misinformation Easier to Identify, Understand and Stop","body":[{"value":"\u003Cp\u003EOne problem with misinformation is that most people don\u0026rsquo;t recognize it while browsing the internet. Even fewer understand where misleading content originates, which poses a challenge in stopping misinformation in its tracks.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo resolve this, researchers with the School of Computational Science and Engineering (CSE) and Avast Software have developed\u0026nbsp;\u003Ca href=\u0022https:\/\/poloclub.github.io\/papers\/22-chi-misvis.pdf\u0022\u003EMisVis\u003C\/a\u003E, a tool that can help online users identify and stop the spread of misinformation.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMisVis is an interactive tool that uses data visualization to alert users they are on a website containing misinformation. MisVis also shows how the page is connected in a web with other misinformation sources. As a result, MisVis helps casual and skeptical internet users alike identify misinformation and better understand how content is untrue.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;While working on this project, I found that many people are actually very worried and concerned about misinformation,\u0026rdquo; said School of CSE Ph.D. student\u0026nbsp;\u003Cstrong\u003ESeongmin Lee\u003C\/strong\u003E. \u0026ldquo;Misinformation is a big issue and visualization is a good way to solve a lot of problems.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMisVis developers joining Lee include:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003ESadia Afroz\u003C\/strong\u003E, Avast Software\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EDuen Horng (Polo) Chau\u003C\/strong\u003E, Associate Professor with the School of CSE\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EHaekyu Park\u003C\/strong\u003E, School of CSE Ph.D. student\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EAnkit Peshin\u003C\/strong\u003E, Avast Software\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EVibhor Sehgal\u003C\/strong\u003E, Avast Software\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EOmar Shaikh\u003C\/strong\u003E, Ph.D. student at Stanford University\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EZijie (Jay) Wang\u003C\/strong\u003E, School of CSE Ph.D. student\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EWhile many tools, like FactCheck and PolitiFact, exist to help online users discern fact from fiction, they have limits.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne problem is that fact correction sites attempt to explain misinformation through often lengthy written narratives. These can be too long to keep a reader\u0026rsquo;s attention causing them to stop reading. As a result, many are still misinformed because they didn\u0026rsquo;t receive a concise explanation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMisVis not only alerts users when a website is spreading misinformation, it also shows how the website is connected to other sources of misinformation, including social media. As a result, MisVis shows users multiple sources of misinformation in less time and with less effort than reading a news-like story.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMisVis is intended for all internet users, casual and experienced alike. Lee explained how teenagers and elderly people especially stand to benefit from MisVis. According to Lee, these demographics are most prone to misinformation because they often lack factchecking skills. These users benefit from MisVis\u0026rsquo; catchy, easy to read presentation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe research group introduced MisVis in April 2022 and has been using data and questionnaire surveys to improve the tool. The team will present their updated findings Oct. 19 at IEEE VIS 2022 in Oklahoma City.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn a survey of 139 respondents, participants rated MisVis an average 4.32 out of 5 in usability. Lee explained that most respondents praised the tool\u0026rsquo;s reliability and credibility.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Users have said MisVis is cool and fun to use,\u0026rdquo; Lee said. \u0026ldquo;One participant said that it is really easy and convenient, saving them the extra effort of checking other websites and searching on Google.\u0026rdquo;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe research group intends to further develop MisVis into a web browser extension. This will allow for broader usability and provide additional feedback toward improvement. The research group used only Twitter while building and testing MisVis, so expanding application to other social media platforms is another future goal for the group.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE and Avast Software have developed MisVis, a tool that can help online users identify and stop the spread of misinformation"}],"uid":"36319","created_gmt":"2022-09-29 18:14:48","changed_gmt":"2022-09-29 18:14:48","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-09-29T00:00:00-04:00","iso_date":"2022-09-29T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"661675":{"id":"661675","type":"image","title":"MisVis","body":null,"created":"1664474984","gmt_created":"2022-09-29 18:09:44","changed":"1664474984","gmt_changed":"2022-09-29 18:09:44","alt":"MisVis tool from Polo Data Club","file":{"fid":"250624","name":"MisVis Graphic.png","image_path":"\/sites\/default\/files\/images\/MisVis%20Graphic.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/MisVis%20Graphic.png","mime":"image\/png","size":210198,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/MisVis%20Graphic.png?itok=6z_CVIdY"}}},"media_ids":["661675"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"},{"id":"135","name":"Research"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"143","name":"Digital Media and Entertainment"}],"keywords":[{"id":"76231","name":"Computational Science and Engineering"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39501","name":"People and Technology"},{"id":"39511","name":"Public Service, Leadership, and Policy"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"661467":{"#nid":"661467","#data":{"type":"news","title":"Researchers to Lead Paradigm Shift in Pandemic Prevention with NSF Grant","body":[{"value":"\u003Cp\u003EOne lesson learned from the Covid-19 pandemic is that human behavior is a difficult variable to consider when predicting and preventing disease outbreaks. This challenge is magnified even more considering how different scientific fields conduct, interpret, and present research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo overcome these challenges, Georgia Tech researchers form the core of an interdisciplinary, interorganizational team which seeks to prevent disease outbreaks by integrating the study of human behavior with computational data-driven models.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECalling themselves BEHIVE (BEHavioral Interaction and Viral Evolution), the group recently received a $1 million National Science Foundation (NSF) grant toward multidisciplinary team formation and novel outbreak prevention research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Our goal is to bring together all these terrific researchers from different disciplines to help bring a paradigm shift in the science of pandemic prediction and prevention,\u0026rdquo; said\u0026nbsp;\u003Cstrong\u003EB. Aditya Prakash\u003C\/strong\u003E, associate professor with Georgia Tech\u0026rsquo;s School of Computational Science and Engineering (CSE).\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;While epidemic forecasting is compared to weather forecasting, there is an important difference. Unlike weather, our actions and behavior can change the course of an epidemic.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPrakash is the principal investigator of the $1 million NSF grant. Fellow BEHIVE members include:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EPinar Keskinocak\u003C\/strong\u003E, William W. George Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EThomas Kingsley\u003C\/strong\u003E, Assistant Professor of Medicine and Biomedical Informatics at Mayo Clinic\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EShinobu Kitayama\u003C\/strong\u003E, Robert B. Zajonc Collegiate Professor of Psychology at the University of Michigan\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003ERamesh Raskar\u003C\/strong\u003E, Associate Professor at the Massachusetts Institute of Technology Media Lab\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003ELiliana Salvador\u003C\/strong\u003E, Assistant Professor at the University of Georgia\u0026rsquo;s Department of Infectious Diseases\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EJoshua Weitz\u003C\/strong\u003E,\u0026nbsp;Professor and Tom and Marie Patton Chair in the School of Biological Sciences and Co-Director of the Interdisciplinary Ph.D. in Quantitative Biosciences (QBioS) at Georgia Tech\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EPrakash emphasized BEHIVE\u0026rsquo;s primary goal to use its interdisciplinary organization to bridge research methodologies between hard and soft sciences.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe explained that human behavior was underutilized in epidemic science before Covid-19, largely due to data scarcity and underdeveloped computational technologies. Behavioral dynamics encountered during the pandemic, such as social distancing, mask wearing, and vaccine hesitancy, has provided new research and data that now can be considered in models and simulations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHere, BEHIVE will develop high fidelity computational models by designing new artificial intelligence and machine learning techniques that bridge human behavior knowledge and traditional epidemiological theory and models.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It is still an open question of how we can best incorporate human behavior knowledge into the study of pandemics. That is the challenge,\u0026rdquo; Prakash said. \u0026ldquo;Our main idea is to better integrate knowledge from psychology and the humanities into pandemic science using novel computational methods.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBEHIVE\u0026nbsp;originated when team members met through various workshops held in 2020 and 2021. Prakash was an invited organizer of the\u0026nbsp;National Symposium on Predicting Emergence of Virulent Entities by Novel Technologies (PREVENT).\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPREVENT reported that interdisciplinary collaboration was an obstacle in predicting and preventing pandemics. For example, some vocabularies often don\u0026rsquo;t mean the same thing across disciplines, so a consistent methodology to establish a common language must be developed.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBEHIVE is custom built to solve these challenges PREVENT revealed. Along with a wealth of knowledge learned through past epidemics, each BEHIVE researcher brings to the group experience working across interdisciplinary lines.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAmong the Georgia Tech researchers alone, Keskinocak\u0026nbsp;\u003Ca href=\u0022https:\/\/news.gatech.edu\/news\/2020\/04\/17\/pinar-keskinocak-coronavirus-pandemic-and-benefits-social-distancing\u0022\u003Einterfaced with policymakers and the public\u003C\/a\u003E\u0026nbsp;on measures to slow Covid-19 spread.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPrakash\u0026rsquo;s lab led several high-profile Covid-19 forecasting initiatives, including collaboration with the Center for Disease Control and Prevention (CDC).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWeitz teamed with fellow Georgia Tech researchers with the College of Science, College of Computing, and the Wallace H. Coulter Department of Biomedical Engineering to\u0026nbsp;\u003Ca href=\u0022https:\/\/research.gatech.edu\/inqubate-training-program-integrates-modeling-and-data-science-bioscience-phd-students\u0022\u003Ecreate a predoctoral training program\u003C\/a\u003E\u0026nbsp;that integrates computational modeling and data analytics into bioscience.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKeskinocak, Prakash, and Weitz together are also faculty in the Institute for Data Engineering and Science (IDEaS), one of Georgia Tech\u0026rsquo;s ten interdisciplinary research institutes. IDEaS connects research centers and efforts in foundational areas such as machine learning, high-performance computing, and algorithms.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBEHIVE\u0026rsquo;s $1 million grant is funded through NSF\u0026rsquo;s\u0026nbsp;\u003Ca href=\u0022https:\/\/beta.nsf.gov\/news\/predicting-and-preventing-pandemics-goal-new-nsf-awards\u0022\u003EPredictive Intelligence for Pandemic Prevention (PIPP)\u003C\/a\u003E\u0026nbsp;initiative. This program supports high-risk, high-payoff convergent research that aims to identify, model, predict, track, and mitigate the effects of future pandemics.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Prakash, the\u0026nbsp;\u003Ca href=\u0022https:\/\/cpb-us-w2.wpmucdn.com\/sites.gatech.edu\/dist\/9\/2679\/files\/2022\/02\/NSF-PIPP-2-Report_FINAL_2021-06-25-2.pdf\u0022\u003EPREVENT symposium\u0026rsquo;s summary report\u003C\/a\u003E\u0026nbsp;helped lay the foundation for the PIPP program.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPIPP is a two-phased initiative in which NSF selects to fund 25 to 30 project teams, including BEHIVE, for eighteen months through phase one. However, this does not necessarily limit PIPP\u0026rsquo;s influence to chosen project teams within academia.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBEHIVE intends to partner with industry, governmental, and non-profit organizations to expand its interdisciplinary, interorganizational network.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBEHIVE\u0026rsquo;s nucleus of Georgia Tech researchers connects the group with the CDC, Georgia Department of Public Health, and numerous hospitals across the state. BEHIVE\u0026rsquo;s other researchers also serve in leading roles at non-profits, such as the Pathcheck Foundation, and top hospitals like the Mayo Clinic.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlong with developing interdisciplinary methodologies, new disease prevention models, and partnering with external organizations, BEHIVE hopes to develop educational training programs. This would ensure their effort last generations to bring about the necessary paradigm change to prevent future pandemics.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Our initial projects and research the next eighteen months will help us get a sense of research gaps and enlarge our perspective\u0026rdquo; Prakash said. \u0026ldquo;We\u0026rsquo;re approaching PIPP as a science, and we want to lay the foundation of the science by bringing in many people from different fields for the future.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"B. Aditya Prakash is the principal investigator of a $1 million NSF grant"}],"uid":"36319","created_gmt":"2022-09-22 19:05:34","changed_gmt":"2022-09-26 13:05:25","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-09-22T00:00:00-04:00","iso_date":"2022-09-22T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"661466":{"id":"661466","type":"image","title":"BEHIVE Group","body":null,"created":"1663873257","gmt_created":"2022-09-22 19:00:57","changed":"1663873257","gmt_changed":"2022-09-22 19:00:57","alt":"B. Aditya Prakash Research Group","file":{"fid":"250542","name":"pandemic forecasting 2.jpg","image_path":"\/sites\/default\/files\/images\/pandemic%20forecasting%202.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/pandemic%20forecasting%202.jpg","mime":"image\/jpeg","size":761955,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/pandemic%20forecasting%202.jpg?itok=Eq-8130N"}}},"media_ids":["661466"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"1188","name":"Research Horizons"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"146","name":"Life Sciences and Biology"},{"id":"151","name":"Policy, Social Sciences, and Liberal Arts"}],"keywords":[{"id":"76231","name":"Computational Science and Engineering"},{"id":"187915","name":"go-researchnews"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39511","name":"Public Service, Leadership, and Policy"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"660804":{"#nid":"660804","#data":{"type":"news","title":"Award-Winning Tool Bridges Gap Between Supercomputing Software and Hardware","body":[{"value":"\u003Cp\u003EWinning awards is a common feat for Georgia Tech researchers. One student, however, recently received an award with more sentimental value than most brought back to Atlanta.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Computational Science and Engineering (CSE) Ph.D. student\u0026nbsp;\u003Cstrong\u003EMikhail Isaev\u003C\/strong\u003E\u0026nbsp;is the winner of the\u0026nbsp;\u0026ldquo;Sudha\u0026rdquo; Award. The award for studies in computer modeling and simulation is named in memory of\u0026nbsp;\u003Ca href=\u0022https:\/\/www.ece.gatech.edu\/news\/620479\/loving-memory-sudhakar-yalamanchili\u0022\u003ESudhakar Yalamanchili\u003C\/a\u003E, former Regents\u0026#39; Professor and Joseph M. Pettit Professor in Computer Engineering at Georgia Tech\u0026#39;s School of Electrical and Computer Engineering (ECE).\u0026nbsp;Yalamanchili died in 2019 after a long and courageous battle with multiple myeloma.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIsaev received the award at the Workshop on Modeling \u0026amp; Simulation of Systems and Applications (ModSim\u0026rsquo;22), held Aug. 10 \u0026ndash; 12 in Seattle. The award recognizes researchers who demonstrate the most outstanding contribution to the field of computer modeling and simulation.\u0026nbsp;Isaev is the second researcher presented the Sudha Award since introduced in 2021.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I feel really honored to receive this award,\u0026rdquo; Isaev said. \u0026ldquo;I had the pleasure to meet and talk to Sudha, so I feel great to have received this award in his name and, in a way, give back to Georgia Tech.\u0026rdquo;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIsaev\u0026rsquo;s research interests revolve around co-design optimization between hardware, software, and applications in high-performance networks. Isaev\u0026rsquo;s presentation of his co-design tool, ParaGraph, earned him the Sudha Award at ModSim\u0026rsquo;22.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWorking alongside Isaev in ParaGraph\u0026rsquo;s development are NVIDIA Research Scientist\u0026nbsp;\u003Cstrong\u003ENik McDonald\u003C\/strong\u003E, School of CSE Professor\u0026nbsp;\u003Cstrong\u003ERich Vuduc\u003C\/strong\u003E, and School of Computer Science Senior Research Scientist\u0026nbsp;\u003Cstrong\u003EJeff Young\u003C\/strong\u003E. Isaev also credits School of CSE alumnus and Google Software Engineer\u0026nbsp;\u003Cstrong\u003ELlu\u0026iacute;s-Miquel Mungu\u0026iacute;a\u003C\/strong\u003E\u0026nbsp;(Ph.D. CSE 17) as an influential contributor to their co-design research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIsaev explained that the ParaGraph group were close to Yalamanchili, making the Sudaha Award even more special. In fact, Young studied under Yalamanchili while pursuing his doctoral degree.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlong with winning the Sudha Award, Isaev received the best paper award at the\u0026nbsp;\u003Ca href=\u0022https:\/\/icpp22.gitlabpages.inria.fr\/\u0022\u003E51st International Conference on Parallel Processing\u003C\/a\u003E\u0026nbsp;for ParaGraph. Both\u0026nbsp;\u003Ca href=\u0022https:\/\/www.youtube.com\/watch?v=qo6EqRqB1XM\u0022\u003EIsaev\u0026rsquo;s ICPP presentation\u003C\/a\u003E\u0026nbsp;and\u0026nbsp;\u003Ca href=\u0022https:\/\/github.com\/google\/paragraph\u0022\u003EParaGraph\u0026rsquo;s code\u003C\/a\u003E\u0026nbsp;\u0026nbsp;are available for free use by fellow researchers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECo-designing machine learning software on supercomputer networks is challenging because network simulators don\u0026rsquo;t know how to \u0026ldquo;run\u0026rdquo; software. Isaev says one must consider the best software design based upon a network\u0026rsquo;s hardware.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EParaGraph provides an automated way to emulate application software in ways that a network simulator can understand. This allows researchers to simultaneously consider changes in software and hardware. By making co-design a bilateral process, ParaGraph facilitates better supercomputing application and closes the gap for hardware and software experts.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;ParaGraph brings applications closer to hardware people and hardware closer to application people,\u0026rdquo; Isaev said.\u0026rdquo; We want to remove boundaries and ParaGraph tries to do just that.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EYalamanchili was a longtime proponent of computer modeling and simulation, helping to launch the initial ModSim workshop in 2012 and serving on its organizing committee thereafter. Joining the ECE faculty in 1989, he made significant research contributions throughout his career in high-performance computing, communications\/networking, and computer architectures.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMoreover, Yalamanchili was a beloved mentor whose commitment endeared him to his students. He received the distinguished mentoring award twice during his career at Georgia Tech.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"School of CSE Ph.D. student Mikhail Isaev is the winner of the \u201cSudha\u201d Award."}],"uid":"36319","created_gmt":"2022-09-01 18:30:43","changed_gmt":"2022-09-01 18:30:43","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-09-01T00:00:00-04:00","iso_date":"2022-09-01T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"660803":{"id":"660803","type":"image","title":"Mikhail Isaev and Rich Vaduz","body":null,"created":"1662056857","gmt_created":"2022-09-01 18:27:37","changed":"1662056857","gmt_changed":"2022-09-01 18:27:37","alt":"","file":{"fid":"250363","name":"Isaev and Vuduc.JPG","image_path":"\/sites\/default\/files\/images\/Isaev%20and%20Vuduc.JPG","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Isaev%20and%20Vuduc.JPG","mime":"image\/jpeg","size":223370,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Isaev%20and%20Vuduc.JPG?itok=eHNR1Z5s"}}},"media_ids":["660803"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"},{"id":"135","name":"Research"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"660598":{"#nid":"660598","#data":{"type":"news","title":"School\u2019s Growing Faculty Leads to More Students, More Research Funding, More Facilities","body":[{"value":"\u003Cp\u003EFaculty of the School of Computational Science and Engineering (CSE) held a retreat Aug. 11 in downtown Atlanta. There, they reflected upon the previous year while reaffirming the School\u0026rsquo;s vision for the new school year as a world-class, interdisciplinary academic unit.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The School of CSE is a pioneer in the academic field of computational science and engineering,\u0026rdquo; said School of CSE Regents\u0026rsquo; Professor and Chair\u0026nbsp;\u003Cstrong\u003EHaesun Park\u003C\/strong\u003E. \u0026ldquo;There are many universities with a presence of computational science and engineering, mostly in the form of a center or graduate program, but we are unique in that we have a school. Our School is an academic home for CSE.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPark opened the retreat with a presentation where she reiterated the School of CSE\u0026rsquo;s mission to:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003ESolve real-world problems and improve quality of life through advances in computational foundational research, modeling, methods, and techniques.\u003C\/li\u003E\r\n\t\u003Cli\u003EFoster collaboration and interaction to solve challenging problems in novel ways through interdisciplinary cooperation and broad partnerships.\u003C\/li\u003E\r\n\t\u003Cli\u003ECreate leaders in academia, industry, research laboratories, and government who innovate, define, and advance computational science and engineering agendas.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003ETo help fulfill its mission, one primary goal the School seeks to accomplish this year is continue growing its faculty and student populations with emphasis on diversification.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe School finished fiscal year 2022 with 18 full-time and four joint faculty, which includes a surge of\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/news\/650714\/school-cse-expands-five-new-faculty-hires\u0022\u003Efive new assistant professors\u003C\/a\u003E. This is an improvement from 2021 when the year finished with 13 full-time faculty.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe expansion in faculty yielded an increase in funded research projects. With a funding total exceeding $15 million, the School grew from 88 to 97 projects between 2021 and 2022.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlong with increased research funding, the addition of more faculty allowed the School to enroll more students under its six doctorate and seven master\u0026rsquo;s degree programs. In December 2021 alone,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/graduating-class-reflects-interdisciplinary-nature-computational-science-and-engineering\u0022\u003Enearly 50 CSE students earned their degrees and graduated\u003C\/a\u003E, the one of the largest classes in School history.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe School of CSE students and recent alumni received numerous awards and accolades last year, setting high expectations for 2022-2023. CSE Ph.D. students\u0026nbsp;\u003Cstrong\u003EPranav Shetty\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EZijie (Jay) Wang\u003C\/strong\u003E\u0026nbsp;attained J.P. Morgan Chase AI research fellowships and CSE Ph.D. student\u0026nbsp;\u003Cstrong\u003EGaurav Verma\u003C\/strong\u003E\u0026nbsp;received an Adobe Ph.D. fellowship. Recent School of CSE alumni\u0026nbsp;\u003Cstrong\u003EFred Hohman\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003ESrinivas Eswar\u003C\/strong\u003E\u0026nbsp;received the SIGCHI Outstanding Dissertation Award and the J.H. Wilkinson Postdoctoral Fellowship at Argonne National Laboratory respectively.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELocated in the\u0026nbsp;\u003Ca href=\u0022https:\/\/coda.gatech.edu\/\u0022\u003ECoda building at Tech Square\u003C\/a\u003E\u0026nbsp;on the south wing of the 13th floor, the School\u0026rsquo;s newest challenge is providing working areas to keep pace with the rapid student enrollment rate. Park announced at the retreat that the School recently acquired the 13th floor east wing, providing additional offices for faculty and staff as well as more student workspaces.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;CSE is central to the vision and the plans for the College,\u0026rdquo; said\u0026nbsp;\u003Cstrong\u003ECharles Isbell\u003C\/strong\u003E, dean and John P. Imlay, Jr. chair of the College of Computing. \u0026ldquo;We have what I would say is the first successful intercollege school at Georgia Tech, I think we will see more and more people perceive CSE in that way and that it will be increasingly central for the future of sciences, engineering, and computing.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The School of CSE is primed for growth in 2022-2023"}],"uid":"36319","created_gmt":"2022-08-26 15:39:13","changed_gmt":"2022-08-26 15:39:13","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-08-26T00:00:00-04:00","iso_date":"2022-08-26T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"660597":{"id":"660597","type":"image","title":"CSE Faculty Retreat","body":null,"created":"1661528180","gmt_created":"2022-08-26 15:36:20","changed":"1661528180","gmt_changed":"2022-08-26 15:36:20","alt":"2022 CSE Faculty Retreat","file":{"fid":"250301","name":"CSE Faculty Retreat.JPG","image_path":"\/sites\/default\/files\/images\/CSE%20Faculty%20Retreat.JPG","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/CSE%20Faculty%20Retreat.JPG","mime":"image\/jpeg","size":169038,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/CSE%20Faculty%20Retreat.JPG?itok=L0RN8hRK"}}},"media_ids":["660597"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"660342":{"#nid":"660342","#data":{"type":"news","title":"Graduate Q\u0026A: Srinivas Eswar","body":[{"value":"\u003Cp\u003EThough Georgia Tech doesn\u0026rsquo;t host commencement ceremonies in summer, many students complete their degrees and officially graduate. These unique graduates have the option between fall and spring commencement ceremonies to walk across the stage to be celebrated for earning their degrees. Until them, one graduate reflected upon memories during his time at Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/scholar.google.com\/citations?user=faqGKGgAAAAJ\u0026amp;hl=en\u0022\u003ESrinivas Eswar\u003C\/a\u003E\u003C\/strong\u003E\u0026nbsp;graduated with a Ph.D. from the\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE) where he was advised by Regents\u0026rsquo; Professor and Chair\u0026nbsp;\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~hpark\/\u0022\u003EHaesun Park\u003C\/a\u003E\u0026nbsp;\u003C\/strong\u003Eand Professor\u003Cstrong\u003E\u0026nbsp;\u003Ca href=\u0022https:\/\/vuduc.org\/v2\/\u0022\u003ERich Vuduc\u003C\/a\u003E.\u003C\/strong\u003E\u0026nbsp;Eswar described his fondest memories from Georgia Tech here in a Q\u0026amp;A.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhat were your research interests and notable projects while at Georgia Tech?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI work on constrained low-rank approximation algorithms. In this field, we try to approximate data as highly structured matrices with constraints, like all entries must be nonnegative, columns sum to one, among many others. Specifically, my work has been developing parallel versions of these algorithms.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhat is your favorite memory from Georgia Tech?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThere are too many to choose from, ranging from lab dinners,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/\u0022\u003ECollege of Computing\u003C\/a\u003E\u0026nbsp;soccer matches, and attending various conferences. Picking one at random, during one of the few times it snowed in Atlanta (in Dec 2017), a few lab mates and I built an enormous snowman outside Klaus. It was lots of fun, especially for a person who really doesn\u0026#39;t like the cold.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhat advice would you give to other students who are just getting started on their Ph.D. here?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAtlanta is one of the better-rounded cities with access to rivers, hills, parks, public tennis courts, and the usual city attractions. Since you\u0026#39;re here for the long run, it makes sense to explore them. It helps to have a car.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003EWhat is next in your career? How did Georgia Tech help you get there?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI\u0026#39;ll be starting at Argonne National Laboratory as a\u0026nbsp;\u003Ca href=\u0022https:\/\/www.anl.gov\/mcs\/article\/srinivas-eswar-named-recipient-of-the-2022-wilkinson-fellowship\u0022\u003EJ.H. Wilkinson Fellow\u003C\/a\u003E. I couldn\u0026#39;t have gotten the position without the help of my advisors, Rich Vuduc and Haesun Park, and the various collaborators at Georgia Tech.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE graduate Srinivas Eswar reflects upon memories at Georgia Tech"}],"uid":"36319","created_gmt":"2022-08-19 14:55:19","changed_gmt":"2022-08-19 14:55:19","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-08-19T00:00:00-04:00","iso_date":"2022-08-19T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"660341":{"id":"660341","type":"image","title":"Srinivas Eswar in snow","body":null,"created":"1660920685","gmt_created":"2022-08-19 14:51:25","changed":"1660920685","gmt_changed":"2022-08-19 14:51:25","alt":"","file":{"fid":"250239","name":"SE copy.png","image_path":"\/sites\/default\/files\/images\/SE%20copy.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/SE%20copy.png","mime":"image\/png","size":852737,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/SE%20copy.png?itok=9Bk4P9x5"}}},"media_ids":["660341"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"129","name":"Institute and Campus"},{"id":"130","name":"Alumni"},{"id":"134","name":"Student and Faculty"}],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"660265":{"#nid":"660265","#data":{"type":"news","title":"Summer Class Joins Georgia Tech\u2019s Alumni Cohort","body":[{"value":"\u003Cp\u003EMany School of Computational Science and Engineering (CSE) students slogged through the dog days of summer defending theses and dissertations to complete their degrees. As of Aug. 11, the degree confirmation date for summer graduates, these students can now call themselves alumni of Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Our students\u0026rsquo; success is not only important to Georgia Tech, but also to the field of CSE,\u0026rdquo; said Haesun Park, Regents\u0026rsquo; Professor and chair of the School of CSE. \u0026ldquo;Our faculty and staff strive to provide the best environment where each student can flourish to one\u0026rsquo;s maximum potential.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFive School of CSE students received their doctoral degrees this summer. They are:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003ESiddharth Biswal (Ph.D. CS 22) advised by School of CSE Adjunct Professor Jimeng Sun\u003C\/li\u003E\r\n\t\u003Cli\u003ERahul Duggal (Ph.D. CS 22) advised by School of CSE Associate Professor Polo Chau\u003C\/li\u003E\r\n\t\u003Cli\u003ESrinivas Eswar (Ph.D. CS 22) advised by Park and Professor Rich Vuduc\u003C\/li\u003E\r\n\t\u003Cli\u003EAli Siahkoohi (Ph.D. CSE 22) advised by School of Earth and Atmospheric Sciences and School of CSE Professor Felix Herrmann\u003C\/li\u003E\r\n\t\u003Cli\u003EHaowen Zhang (Ph.D. CSE 22) advised by School of CSE Professor Srinivas Aluru\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EAlong with the five Ph.D. graduates, two students completed their Master of Science in Computational Science and Engineering degrees. New School of CSE MS alumni are:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EFu Shen (MS CSE-CSE 22)\u003C\/li\u003E\r\n\t\u003Cli\u003EBrandon Whitchurch (MS CSE-CSE 22)\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003ETwo other School of CSE students completed their master\u0026rsquo;s degrees as part of their doctoral degree track. They are:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EDongjin Choi (MS CSE-CSE 22) advised by Park\u003C\/li\u003E\r\n\t\u003Cli\u003EShahrokh Shahi (MS CSE-CSE 22) advised by School of CSE Associate Professor Elizabeth Cherry\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Our graduates do extremely well by attaining high demand positions at national labs, industry, government agencies, and faculty at academic institutions,\u0026rdquo; Park said. \u0026ldquo;These graduates will lead and carry out the vision and mission of the CSE academic field.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"School of CSE recognizes nine grduates that completed their degrees over summer 2022"}],"uid":"36319","created_gmt":"2022-08-17 17:06:12","changed_gmt":"2022-08-17 17:08:36","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-08-17T00:00:00-04:00","iso_date":"2022-08-17T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"660266":{"id":"660266","type":"image","title":"15NE10502-p4","body":null,"created":"1660756100","gmt_created":"2022-08-17 17:08:20","changed":"1660756100","gmt_changed":"2022-08-17 17:08:20","alt":"","file":{"fid":"250223","name":"15NE10502-P4-056.jpeg","image_path":"\/sites\/default\/files\/images\/15NE10502-P4-056.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/15NE10502-P4-056.jpeg","mime":"image\/jpeg","size":126852,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/15NE10502-P4-056.jpeg?itok=hIt6f9nP"}}},"media_ids":["660266"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"129","name":"Institute and Campus"},{"id":"130","name":"Alumni"},{"id":"134","name":"Student and Faculty"}],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"660006":{"#nid":"660006","#data":{"type":"news","title":"Group Brings Seismic Imaging Studies to Conversations on Climate Change and Beyond","body":[{"value":"\u003Cp\u003EA summer dominated by high gas prices and record-setting temperatures around the globe has intensified discussions on climate change. At the same time, a Georgia Tech research group has spent this summer preparing studies that could help reduce greenhouse gas levels through machine learning and high-performance computing methods.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe School of Computational Science and Engineering\u0026rsquo;s (CSE) \u003Ca href=\u0022https:\/\/slim.gatech.edu\/\u0022\u003ESeismic Laboratory for Imaging and Modeling\u003C\/a\u003E (SLIM) is a research group that specializes in providing industry partners with computational models that advance seismic imaging. Led by Professor \u003Ca href=\u0022https:\/\/cse.gatech.edu\/people\/felix-herrmann\u0022\u003E\u003Cstrong\u003EFelix J. Herrmann\u003C\/strong\u003E\u003C\/a\u003E, one area SLIM devotes their imaging research toward is Geological Carbon Storage (GCS), an emerging solution to help combat climate change.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;SLIM has been widely recognized as a world leader in the next generation of seismic acquisition, data processing, imaging, and monitoring for the oil and gas industry,\u0026rdquo; said Herrmann, who is based in the School of Earth and Atmospheric Sciences and holds a joint appointment with the School of CSE. \u0026ldquo;SLIM has recently made developments in the fields of compressive sensing and machine learning to drive innovations in wave-based inversion with applications in seismic monitoring.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGCS is a process of removing carbon dioxide from the atmosphere and storing it in deep, underground reservoirs. SLIM\u0026rsquo;s research in seismic imaging assists engineers to monitor carbon dioxide dynamics stored in the Earth\u0026rsquo;s subsurface. This includes detecting potential leaks in underground reservoirs, which minimizes risks in GCS projects.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile GCS is one of the few truly scalable solutions to help combat climate change, challenges remain to increase the number of injections sites while reducing risks and cost. These challenges make SLIM\u0026rsquo;s studies even more important for areas that stand to benefit from time-lapse seismic imaging, like GCS.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne obstacle inhibiting GCS is difficulty in conducting large-scale seismic imaging that is accurate, timely, and cost-effective. SLIM \u003Ca href=\u0022https:\/\/slim.gatech.edu\/Publications\/Public\/Conferences\/SEG\/2022\/siahkoohi2022SEGvcw\/abstract.pdf\u0022\u003Eprovides a novel approach that maps seismic images associated with one background model to another through velocity continuation\u003C\/a\u003E. SLIM\u0026rsquo;s velocity continuation method is cheaper and faster than existing algorithms because it avoids creating new images from scratch. This potentially opens the way for large-scale, uncertainty-aware monitoring.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnother challenge in monitoring GCS is predicting how stored carbon dioxide will behave underground due to reservoir fluid properties like temperature and pressure. To address this problem, SLIM developed \u003Ca href=\u0022https:\/\/slim.gatech.edu\/Publications\/Public\/Conferences\/SEG\/2022\/yin2022SEGlci\/paper.pdf\u0022\u003Ea model that uses a neural operator in place of a fluid-flow simulator\u003C\/a\u003E. According to this study, the neural operator can forecast behavior of stored carbon dioxide at a fraction of computational cost of conventional numerical simulations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA similarity between these studies are their use of Fourier neural operators. A neural operator is a deep learning method that solves partial differential equations, the essential mathematical formulations in understanding engineering phenomena. Fourier neural operators are a class of neural operator that once trained, can produce nearly identical results at several orders of magnitude faster compared to traditional numerical solvers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;By gradually shifting gear to carbon storage monitoring with seismic techniques, SLIM aims to be part of the solution to climate change,\u0026rdquo; said CSE Ph.D. student \u003Ca href=\u0022https:\/\/ziyiyin97.github.io\/\u0022\u003E\u003Cstrong\u003EZiyi (Francis) Yin\u003C\/strong\u003E\u003C\/a\u003E. \u0026ldquo;With the recent innovations in the group, we want to lower risk of carbon storage projects.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EStudying geophysical phenomenon without simulations is a SLIM specialty. Another SLIM paper introduces a \u003Ca href=\u0022https:\/\/slim.gatech.edu\/Publications\/Public\/Conferences\/SEG\/2022\/zhang2022SEGass\/Yijun2022SEGass.pdf\u0022\u003Esimulation-free seismic survey design\u003C\/a\u003E. SLIM\u0026rsquo;s method uses an annealing algorithm that provides accurate wavefield reconstruction with minimal seismic survey data. This design improves seismic data reconstruction without expensive and time-consuming wavefield simulations\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESLIM tested their research at small scale using synthetic case studies. The studies introduce solutions to seismic imaging and carbon sequestration that can be replicated at large scale and \u003Ca href=\u0022https:\/\/slim.gatech.edu\/software\/open-source\u0022\u003Eare available for industry use\u003C\/a\u003E due to their simplicity and cost-effectiveness. Even more, their methods have other potential applications such as further seismic exploration, \u003Ca href=\u0022https:\/\/slim.gatech.edu\/Publications\/Public\/Conferences\/SEG\/2022\/louboutin2022SEGais\/louboutin_seg22.pdf\u0022\u003Emedical imaging\u003C\/a\u003E, and high-performance computing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESLIM will present these studies Aug. 28 \u0026ndash; Sept. 1 at the upcoming \u003Ca href=\u0022https:\/\/www.imageevent.org\/\u0022\u003EInternational Meeting for Applied Geoscience and Energy\u003C\/a\u003E in Houston. IMAGE\u0026rsquo;22 provides a venue for geoscientists, industry professionals, and thought leaders to share best practices and develop strategies for the future, to include carbon sequestration.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We have several presentations scheduled covering topics such as graph-theory-based seismic survey design to deep-learning-based methods for seismic imaging and uncertainty quantification,\u0026rdquo; said CSE alumnus \u003Ca href=\u0022https:\/\/alisiahkoohi.github.io\/\u0022\u003E\u003Cstrong\u003EAli Siahkoohi\u003C\/strong\u003E\u003C\/a\u003E. Siahkoohi completed his Ph.D. this summer and is now a postdoctoral scholar at Rice University.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMuch of SLIM\u0026rsquo;s research funding comes from the \u003Ca href=\u0022https:\/\/slim.gatech.edu\/projects\/center-for-machine-learning-for-seismic\u0022\u003ECenter for Machine Learning for Seismic Industry Partners Program (ML4SEISMIC)\u003C\/a\u003E. ML4SEISMIC is an initiative co-led by SLIM and Georgia Tech\u0026rsquo;s \u003Ca href=\u0022https:\/\/cegp.ece.gatech.edu\/\u0022\u003ECenter for Energy and Geo Processing\u003C\/a\u003E that fosters research partnerships with innovators in the energy sector.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;SLIM has been involved with Society of Exploration Geophysics conferences for many years. Every year, we bring our latest developments to the IMAGE conference,\u0026rdquo; Yin said. \u0026ldquo;With the talent in our group, we can tackle large-scale geophysical problems with our cutting-edge computational methods.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE research group publishes studies to assist in geological carbon storage"}],"uid":"36319","created_gmt":"2022-08-08 18:50:53","changed_gmt":"2022-08-09 23:16:14","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-08-08T00:00:00-04:00","iso_date":"2022-08-08T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"660004":{"id":"660004","type":"image","title":"SLIM Research Group","body":null,"created":"1659984529","gmt_created":"2022-08-08 18:48:49","changed":"1659984529","gmt_changed":"2022-08-08 18:48:49","alt":"","file":{"fid":"250151","name":"SLIM Group Photo2.png","image_path":"\/sites\/default\/files\/images\/SLIM%20Group%20Photo2.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/SLIM%20Group%20Photo2.png","mime":"image\/png","size":204573,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/SLIM%20Group%20Photo2.png?itok=PlZsvII3"}}},"media_ids":["660004"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"1188","name":"Research Horizons"}],"categories":[],"keywords":[{"id":"187915","name":"go-researchnews"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"659973":{"#nid":"659973","#data":{"type":"news","title":"CSE Biweekly Roundup - August 5, 2022","body":[{"value":"\u003Cp\u003EEvery other week, the School of Computational Science and Engineering shares a roundup of news, accomplishments, and events from across the School. Here is the roundup for August 5, 2022:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003ECongratulations to CSE Ph.D. student \u003Cstrong\u003EAlexander Rodr\u0026iacute;guez\u003C\/strong\u003E and CSE Associate Professor \u003Cstrong\u003EB. Aditya Prakash\u003C\/strong\u003E for co-authoring a paper that won the \u0026quot;Best Paper Award\u0026quot; at AI4ABM Workshop at the International Conference on Machine Learning 2022.\u0026nbsp;The School of CSE team collaborated with researchers from Massachusetts Institute of Technology and Adobe Research on the project.\u003C\/li\u003E\r\n\t\u003Cli\u003ECongratulations to CSE Assistant Professor \u003Cstrong\u003ENabil Imam\u003C\/strong\u003E for being selected as a finalist for NSF\u0026rsquo;s Emerging Frontiers in Research and Innovation program.\u003C\/li\u003E\r\n\t\u003Cli\u003ECSE Assistant Professors \u003Cstrong\u003ESpencer Bryngelson\u003C\/strong\u003E and \u003Cstrong\u003EFlorian \u003C\/strong\u003E\u003Cstrong\u003ESch\u0026auml;fer\u003C\/strong\u003E have been attending the Stanford Center for Turbulence Research Summer Program since July 13. Scheduled to finish August 13, they have been working on fast operator recovery, a new strategy for modeling turbulent fluid flows.\u003C\/li\u003E\r\n\t\u003Cli\u003EAE-CSE Ph.D. student \u003Cstrong\u003EJohnie Sublett\u003C\/strong\u003E raised $7,000 for the Ukrainian National Guard to purchase radio equipment that recently arrived on the front lines.\u003C\/li\u003E\r\n\t\u003Cli\u003EThere is a new page on the School of CSE website devoted to \u003Ca href=\u0022https:\/\/cse.gatech.edu\/cse-biweekly-roundup\u0022\u003ECSE Biweekly Roundups\u003C\/a\u003E! Here, CSE news, accomplishments, and events can be easily found and shared.\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/mailchi.mp\/cc.gatech.edu\/cse-analyzer-july-2022\u0022\u003EJuly\u0026rsquo;s edition of \u003Cem\u003EThe Analyzer\u003C\/em\u003E\u003C\/a\u003E and the \u003Ca href=\u0022https:\/\/mailchi.mp\/cc\/gt-computing-compiler-29july22\u0022\u003Elatest edition of \u003Cem\u003EThe Compiler\u003C\/em\u003E\u003C\/a\u003E published last week. Check out the last news across the School and College in case you missed it.\u003C\/li\u003E\r\n\t\u003Cli\u003EPACE is hosting a \u003Ca href=\u0022https:\/\/pace.gatech.edu\/events\/pace-osg-orientation-5\u0022\u003Evirtual Open Science Grid (OSG) orientation session\u003C\/a\u003E Aug. 9 at 10:30 a.m. \u0026ndash; 12:15 p.m. Advance registration is required and can be found in the event link.\u003C\/li\u003E\r\n\t\u003Cli\u003EThere will be a \u003Ca href=\u0022https:\/\/www.calendar.gatech.edu\/event\/659681\u0022\u003Evirtual training session on Kaltura Canvas\u003C\/a\u003E Aug. 9 at 10:00 a.m. \u0026ndash; 12:15 p.m. Advance registration is required and can be found in the event link.\u003C\/li\u003E\r\n\t\u003Cli\u003EThe School of CSE Faculty Retreat is Aug. 11 at the Atlanta Marriott Marquis. Check your inboxes for the agenda and event details.\u003C\/li\u003E\r\n\t\u003Cli\u003EAug. 11 is degree confirmation date for summer candidates. Congratulations to CSE students that completed their degrees this summer! A story will be published soon.\u003C\/li\u003E\r\n\t\u003Cli\u003ESchool of CSE faculty, students, and alumni will present seven papers at \u003Ca href=\u0022https:\/\/www.kdd.org\/kdd2022\/\u0022\u003EACM SIGKDD 2022\u003C\/a\u003E. The conference is Aug. 14-18 in Washington, DC.\u003C\/li\u003E\r\n\t\u003Cli\u003EAug. 22 is first day of fall semester. Welcome back and have a great school year!\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"School of CSE Biweekly Roundup for August 5, 2022"}],"uid":"36319","created_gmt":"2022-08-05 17:30:48","changed_gmt":"2022-08-05 17:30:48","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-08-05T00:00:00-04:00","iso_date":"2022-08-05T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"658690":{"#nid":"658690","#data":{"type":"news","title":"Alumnus Building Legacy through Dissertation; Mentorship","body":[{"value":"\u003Cp\u003EDue to its tradition of excellence and history of graduating distinguished alumni, \u003Cstrong\u003EGeorgia Tech\u003C\/strong\u003E can be a tough place to leave a lasting impression. However, one School of Computational Science and Engineering (CSE) alumnus is well on his way to crafting his own legacy as one of the School\u0026rsquo;s most influential alumni.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEarlier this month, CSE alumnus and current Apple research scientist \u003Cstrong\u003EFred Hohman\u003C\/strong\u003E received ACM SIGCHI\u0026rsquo;s 2022 Outstanding Dissertation Award for his dissertation, \u003Cem\u003EInteractive Scalable Interfaces for Machine Learning Interpretability\u003C\/em\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESIGCHI is the premier international society for the study of human-computer interaction and typically only presents two or three outstanding dissertation awards per year.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It\u0026rsquo;s kind of unbelievable because you never expect this sort of thing to happen,\u0026rdquo; Hohman said. \u0026ldquo;I\u0026rsquo;m honored and still surprised to see my dissertation highlighted and recognized.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlong with recognition at CHI 2022 this year, Hohman\u0026rsquo;s dissertation also earned him an award at the College of Computing\u0026rsquo;s 31st annual awards celebration held in April.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf the recognition his dissertation has garnered wasn\u0026rsquo;t impressive enough, Hohman presented at CHI 2022 two other papers he co-authored. There, he received a best paper award for \u003Cem\u003ENeo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels\u003C\/em\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I\u0026rsquo;m humbled. My dissertation sits on the shoulders of giants, and there are many people that were inspirational and had similar ideas that influenced my work as well,\u0026rdquo; he said.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHohman describes his graduate experience and dissertation as humbling because of his apprehensiveness when he arrived at Georgia Tech in 2015. Though he graduated from the University of Georgia with bachelor\u0026rsquo;s degrees in mathematics and physics, Hohman didn\u0026rsquo;t know basic computer science skills like coding.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECSE\u0026rsquo;s interdisciplinary nature interested Hohman to study at Tech in the first place. Access to faculty and students eased Hohman\u0026rsquo;s imposter syndrome, and he thrived as a graduate student.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Between the College of Computing, multiple schools, and labs, it was clear people valued collaboration.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHohman studied under School of CSE Associate Professor \u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~dchau\/\u0022\u003E\u003Cstrong\u003EPolo Chau\u003C\/strong\u003E\u003C\/a\u003E and School of Interactive Computing Associate Professor \u003Ca href=\u0022https:\/\/va.gatech.edu\/endert\/\u0022\u003E\u003Cstrong\u003EAlex Endert\u003C\/strong\u003E\u003C\/a\u003E. There, he was a member of Chau\u0026rsquo;s research group, the \u003Ca href=\u0022https:\/\/poloclub.github.io\/\u0022\u003EPolo Club of Data Science\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile at Georgia Tech, Hohman interned with the Pacific Northwest National Lab, the NASA Jet Propulsion Lab, Microsoft Research, and Apple. In fact, a \u003Ca href=\u0022https:\/\/www.nasa.gov\/directorates\/spacetech\/strg\/nstgro\u0022\u003ENASA Space Technology Research Fellowship\u003C\/a\u003E supported his dissertation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Those summer internships were foundational to my thinking, my dissertation, what I\u0026rsquo;m doing now and what I want to do in the future,\u0026rdquo; said Hohman. \u0026ldquo;That was another reason why I chose Georgia Tech and to work in Polo\u0026rsquo;s lab. I found myself bringing ideas back from each summer into the next academic year and incorporating them into my dissertation.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIt was around this time when Hohman began to distinguish himself as a scholar decorated in character, not just achievements. Just as he leaned on colleagues to grow confident at Georgia Tech, Hohman used his experience to help others.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDrawing from his experience as a tutor at UGA and graduate teaching assistant at Tech, Hohman independently mentored eight students during his time at Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEven more enduring is \u003Ca href=\u0022https:\/\/fredhohman.com\/\u0022\u003EHohman\u0026rsquo;s website\u003C\/a\u003E where he shares most of his published work, including his dissertation. This includes \u003Ca href=\u0022https:\/\/fredhohman.com\/dissertation\/\u0022\u003Evideos of his thesis defense and his award talk at CHI 2022\u003C\/a\u003E. This serves as a resource for aspiring scholars to replicate success in their own research efforts to this day.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe student body showed appreciation of Hohman\u0026rsquo;s leadership when they elected him as vice president of the School of CSE Graduate Student Association from 2018 to 2020.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I am a strong believer in mentorship for younger students in the lab. I really wanted to try to give back from the mentorship I received from my internships,\u0026rdquo; Hohman said. \u0026ldquo;I think that I brought some of the Tech mentorship from Polo\u0026rsquo;s lab to Apple.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EToday, Hohman designs and develops interactive interfaces at Apple to help people understand machine learning models and data-driven systems. He also mentors Ph.D. students much like he did at Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHohman continues to make a name for himself through his dissertation and other research. But his legacy will resonate through the countless people who will go on to achieve in their own ways under his mentorship, influence, and inspiration.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;My best memories of Georgia Tech are meeting graduate school students that I now call lifelong friends,\u0026rdquo; Hohman said. \u0026ldquo;The community and friendships that I\u0026rsquo;ve made will outlast much of the other stuff like my awards and my work.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE alumnus Fred Hohman is well on his way to crafting his own legacy as one of the School\u2019s most influential alumni."}],"uid":"36319","created_gmt":"2022-06-03 13:31:59","changed_gmt":"2022-07-21 14:55:10","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-06-03T00:00:00-04:00","iso_date":"2022-06-03T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"658689":{"id":"658689","type":"image","title":"Fred Hohman and Polo Chau at CHI 2022","body":null,"created":"1654262876","gmt_created":"2022-06-03 13:27:56","changed":"1654262876","gmt_changed":"2022-06-03 13:27:56","alt":"","file":{"fid":"249681","name":"_DSC3358.jpeg","image_path":"\/sites\/default\/files\/images\/_DSC3358.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/_DSC3358.jpeg","mime":"image\/jpeg","size":4435512,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/_DSC3358.jpeg?itok=uLdRY-qQ"}}},"media_ids":["658689"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"130","name":"Alumni"},{"id":"132","name":"Institute Leadership"},{"id":"134","name":"Student and Faculty"},{"id":"135","name":"Research"}],"keywords":[{"id":"76231","name":"Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"659562":{"#nid":"659562","#data":{"type":"news","title":"CSE Biweekly Roundup - June 3, 2022","body":[{"value":"\u003Cp\u003EEvery other week, the School of Computational Science and Engineering shares a roundup of news, accomplishments, and events from across the School. Here is the roundup for June 3, 2022:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003ECongratulations to CSE Ph.D. student \u003Cstrong\u003ESrinivas Eswar\u003C\/strong\u003E for being \u003Ca href=\u0022https:\/\/www.anl.gov\/mcs\/article\/srinivas-eswar-named-recipient-of-the-2022-wilkinson-fellowship\u0022\u003Eawarded the J.H. Wilkinson Postdoctoral Fellowship in Scientific Computing at Argonne National Laboratory\u003C\/a\u003E! The fellowship is given to one applicant per year in which the appointment lasts for one year and may be renewed for another.\u003C\/li\u003E\r\n\t\u003Cli\u003EWelcome the newest member of our faculty, \u003Cstrong\u003EVictor Chung\u003C\/strong\u003E! \u003Ca href=\u0022https:\/\/sites.google.com\/site\/victorxfung\/home\u0022\u003EVictor\u003C\/a\u003E comes to us from Oak Ridge National Laboratory where he was the Eugene P. Wigner Fellow at the Center for Nanophase Materials Sciences!\u003C\/li\u003E\r\n\t\u003Cli\u003ECongratulations to CSE Assistant Professor \u003Cstrong\u003ESpencer Bryngelson\u003C\/strong\u003E for receiving a 2022 ORAU Ralph E. Powe Junior Faculty Enhancement Award! Bryngelson is one of 41 awardees amongst 155 applicants to receive the award totaling $10,000.\u003C\/li\u003E\r\n\t\u003Cli\u003ECSE Assistant Professor \u003Cstrong\u003ESrijan Kumar\u003C\/strong\u003E gave a virtual talk May 24. Kumar presented \u003Cem\u003EAdvances in Data Science\u0026nbsp;for\u0026nbsp;Web Safety and Integrity\u003C\/em\u003E to an audience from Northwestern University.\u003C\/li\u003E\r\n\t\u003Cli\u003ECSE Ph.D. student \u003Cstrong\u003ESara Karamati\u003C\/strong\u003E, CS Senior Research Scientist \u003Cstrong\u003EJeff Young\u003C\/strong\u003E, and CSE Professor \u003Cstrong\u003ERich Vuduc \u003C\/strong\u003Epresented \u003Cem\u003E\u0026quot;Smarter\u0026quot; NICs for Faster Molecular Dynamics: A Case Study\u003C\/em\u003E at \u003Ca href=\u0022https:\/\/www.ipdps.org\/\u0022\u003EIEEE IPDPS 2022\u003C\/a\u003E as a best paper finalist! Although the research team didn\u0026rsquo;t win best paper, they well-represented the Institute as one of two papers from Georgia Tech in a panel of five finalists.\u003C\/li\u003E\r\n\t\u003Cli\u003ECSE Assistant Professor \u003Cstrong\u003ESrijan Kumar\u0026rsquo;s\u003C\/strong\u003E Q\u0026amp;A \u003Cem\u003EFighting Hate Speech and Misinformation Online\u003C\/em\u003E published in \u003Ca href=\u0022https:\/\/www.nature.com\/natcomputsci\/volumes\/2\/issues\/5\u0022\u003EMay\u0026rsquo;s edition\u003C\/a\u003E of \u003Cem\u003ENature Computational Science\u003C\/em\u003E. The journal initially posted the interview May 1 to discuss misinformation and anti-Asian hate speech for the start of Asian American and Pacific Islander Heritage Month.\u003C\/li\u003E\r\n\t\u003Cli\u003ECSE Ph.D. student \u003Cstrong\u003EXiaojing An\u003C\/strong\u003E and CSE Professor \u003Cstrong\u003E\u0026Uuml;mit \u0026Ccedil;ataly\u0026uuml;rek \u003C\/strong\u003Eco-authored \u003Ca href=\u0022https:\/\/www.biorxiv.org\/content\/10.1101\/2022.05.22.492973v1\u0022\u003E\u003Cem\u003EBOA: A Partitioned View of Genome Assembly\u003C\/em\u003E\u003C\/a\u003E, published May 24!\u003C\/li\u003E\r\n\t\u003Cli\u003ECSE Professor \u003Cstrong\u003EEdmond Chow\u003C\/strong\u003E co-authored \u003Ca href=\u0022https:\/\/pubs.acs.org\/doi\/10.1021\/acs.jctc.2c00166\u0022\u003E\u003Cem\u003EPseudodiagonalization Method for Accelerating Nonlinear Subspace Diagonalization in Density Functional Theory\u003C\/em\u003E\u003C\/a\u003E, published in American Chemistry Society publications May 24.\u003C\/li\u003E\r\n\t\u003Cli\u003ECheck out the latest edition of \u003Ca href=\u0022https:\/\/mailchi.mp\/cc\/gt-computing-compiler-3june22\u0022\u003E\u003Cem\u003EThe Compiler\u003C\/em\u003E\u003C\/a\u003E for current news across the College of Computing.\u003C\/li\u003E\r\n\t\u003Cli\u003EPACE is hosting an \u003Ca href=\u0022https:\/\/www.calendar.gatech.edu\/event\/658425\u0022\u003Eonline seminar on introduction to Git\u003C\/a\u003E Monday, June 6, 10:30am \u0026ndash; 12:15pm. Registration at the event website is required for attendance.\u003C\/li\u003E\r\n\t\u003Cli\u003EPACE is hosting an \u003Ca href=\u0022https:\/\/www.calendar.gatech.edu\/event\/658174\u0022\u003Eonline seminar on Python 101\u003C\/a\u003E Wednesday, June 8, 1:30pm \u0026ndash; 3:15pm. Registration at the event website is required for attendance.\u003C\/li\u003E\r\n\t\u003Cli\u003ECampus network disaster recovery testing will disable Phoenix, Hive, PACE-ICE, and\u0026nbsp;COC-ICE from 5:00pm on Friday, June 10, through 12:00 noon on Monday, June 13.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Roundup of new, accomplishments, and events across the School of CSE"}],"uid":"36319","created_gmt":"2022-07-21 14:37:45","changed_gmt":"2022-07-21 14:37:45","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-06-03T00:00:00-04:00","iso_date":"2022-06-03T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"659491":{"#nid":"659491","#data":{"type":"news","title":"New Hardware Brings Students Closer to Exascale Computing","body":[{"value":"\u003Cp\u003EMuch like household computers, current supercomputers become obsolete with advancements in technology. This poses a challenge for researchers when it is critical to have the latest hardware on hand to continue their studies.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Computational Science and Engineering (CSE) Assistant Professor \u003Cstrong\u003E\u003Ca href=\u0022https:\/\/cse.gatech.edu\/people\/spencer-bryngelson\u0022\u003ESpencer Bryngelson\u003C\/a\u003E\u003C\/strong\u003E recently received an AMD MI210 GPU accelerator to use in his computational physics lab. In doing so, the research group takes a step closer to gaining access to \u003Ca href=\u0022https:\/\/www.olcf.ornl.gov\/frontier\/\u0022\u003EFrontier, the world\u0026rsquo;s first exascale supercomputer\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I don\u0026rsquo;t get excited about too many things, but this is nice. This is the next generation of supercomputing that will be around for some years,\u0026rdquo; Bryngelson said. \u0026ldquo;I\u0026rsquo;m glad to be part of it and AMD has been extremely generous and helpful in all the ways they possibly can be.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EReleased in March, Georgia Tech is one of the first research institutes in the world to receive AMD\u0026rsquo;s newest hardware. The accelerator can conduct 45 trillion-plus HPC calculations in a second, which is more than twice as fast as comparable competitors, \u003Ca href=\u0022https:\/\/community.amd.com\/t5\/instinct-accelerators\/the-world-welcomes-the-amd-instinct-mi210-accelerator\/ba-p\/517519\u0022\u003Eaccording to AMD\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe MI210 is part of AMD\u0026rsquo;s MI200 series, which includes the MI250X GPU. Oak Ridge National Laboratory\u0026rsquo;s Frontier supercomputer, which claimed the world\u0026rsquo;s fastest computer title in May, uses AMD MI250X GPUs. The MI210 is about half as powerful as the MI250X but uses the same architecture.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn the coming years, Bryngelson wants to access Frontier and use the supercomputer toward his research. To do so, he must configure his existing software and algorithms to operate on AMD hardware, which the MI210 enables him to do.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We are going to prepare our applications to be able to use multiple accelerators from different manufacturers,\u0026rdquo; Bryngelson said. \u0026ldquo;This is a two-way street. AMD procures the hardware for me to prepare, and I report my results back to them.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBryngelson explained that he coordinated directly with AMD to receive the MI210 by advocating for his research in competition with other stakeholders. With the MI210 in hand, he can provide feedback to AMD to help them update current products and develop new technology.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBryngelson manages the \u003Cstrong\u003E\u003Ca href=\u0022https:\/\/comp-physics.group\/\u0022\u003EComputational Physics Group\u003C\/a\u003E\u003C\/strong\u003E, which develops computational models and numerical methods in the study of fluid dynamics. Their research has applications in the medical, defense, and energy fields.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe addition of the MI210 accelerator is the latest hardware acquisition Bryngelson has facilitated since arriving to Tech in August 2021. In April, \u003Ca href=\u0022https:\/\/cse.gatech.edu\/news\/658451\/cse-faculty-receives-new-gpus-fluid-dynamics-and-machine-learning-research\u0022\u003EBryngelson received two NVIDIA A100-80GB GPUs\u003C\/a\u003E through the company\u0026rsquo;s Academic Hardware Grant Program.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWith the addition of the AMD MI210, Bryngelson and the School of CSE are leading the charge in testing the next generation of supercomputers while providing students the latest and greatest technology available towards their research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It\u0026rsquo;s been great, everyone is very excited,\u0026rdquo; Bryngelson said. \u0026ldquo;My students that work on along these HPC lines of research are quite excited to have hands-on access to the workhorses of the world\u0026rsquo;s largest computers. We\u0026rsquo;re entering a small paradigm shift in supercomputing.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Assistant Professor Spencer Bryngelson recently received an AMD MI210 GPU accelerator to use in his computational physics lab"}],"uid":"36319","created_gmt":"2022-07-20 13:45:27","changed_gmt":"2022-07-20 14:58:31","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-07-20T00:00:00-04:00","iso_date":"2022-07-20T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"659490":{"id":"659490","type":"image","title":"Spencer Bryngelson MI210","body":null,"created":"1658324521","gmt_created":"2022-07-20 13:42:01","changed":"1658324521","gmt_changed":"2022-07-20 13:42:01","alt":"","file":{"fid":"249965","name":"Bryngelson_MI210.jpg","image_path":"\/sites\/default\/files\/images\/Bryngelson_MI210.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Bryngelson_MI210.jpg","mime":"image\/jpeg","size":552142,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Bryngelson_MI210.jpg?itok=PyDufm2t"}}},"media_ids":["659490"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"658451":{"#nid":"658451","#data":{"type":"news","title":"CSE Faculty Receives New GPUs for Fluid Dynamics and Machine Learning Research","body":[{"value":"\u003Cp\u003EScientific computing and simulation require lots of power. This means students, faculty, and researchers at the School of Computational Science and Engineering (CSE) require the latest and greatest in computing technology to sustain their studies.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo help meet this need, CSE Assistant Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/people\/spencer-bryngelson\u0022\u003ESpencer Bryngelson\u003C\/a\u003E\u0026nbsp;recently received two NVIDIA A100-80GB graphic processing units (GPU) through NVIDIA\u0026rsquo;s Academic Hardware Grant Program. Accepted on behalf of the School in April, this gift upgrades the computing arsenal available to CSE faculty and students.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We do research that relies on this type of hardware,\u0026rdquo; Bryngelson said. \u0026ldquo;With it, research happens much more quickly. We can solve bigger problems, we can solve smaller problems more quickly, and all sorts of things that were not available in the past.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to NVIDIA, the A100\u0026nbsp;provides up to 20 times higher performance compared to previous generations and the 80GB model is the world\u0026rsquo;s fastest memory bandwidth at over two terabytes per second.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBryngelson and\u0026nbsp;\u003Ca href=\u0022https:\/\/comp-physics.group\/\u0022\u003Ehis research group\u003C\/a\u003E\u0026nbsp;intend to use the GPUs to further their research interests in multiphase fluid dynamics and machine learning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBryngelson described one example where models and numerical methods can test advances in ultrasound technology for lithotripsy procedures. These simulations analyze the effects of shock waves applied to kidney stones through computers in lieu of subjecting people to real-world tests. The A100 GPUs can improve accuracy and speed in those computer simulations.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u0026ldquo;This type of hardware enables us to train models, to learn what an artificial neural network should look like to predict the things we care about,\u0026rdquo; Bryngelson said regarding application to machine learning. \u0026ldquo;A100s are the most powerful tool for the job for this kind of thing.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBryngelson\u0026rsquo;s gifted GPUs also represents Georgia Tech\u0026rsquo;s continued partnership with commercial providers, like NVIDIA, to equip the Institute with the tools to conduct meaningful research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENVIDIA is one of many members of the College of Computing\u0026rsquo;s\u0026nbsp;\u003Ca href=\u0022http:\/\/www.cc.gatech.edu\/index.php\/about\/support-the-college\/cap\u0022\u003ECorporate Affiliates Program\u003C\/a\u003E\u0026nbsp;(CAP). CAP is a recruiting pipeline that connects corporate partners with College of Computing students, meeting the industry at the point of need with talent straight from the College.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe School of CSE and NVIDIA certainly are no strangers to each other.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECSE Assistant Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/people\/srijan-kumar\u0022\u003ESrijan Kumar\u003C\/a\u003E\u0026nbsp;acquired a NVIDIA A100 GPU earlier this year through the Academic Grant Hardware Program. NVIDIA also gifted Kumar a Quadro RTX8000 graphics card in 2021.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn 2021, CSE Associate Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/people\/duen-horng-polo-chau\u0022\u003EPolo Chau\u003C\/a\u003E\u0026nbsp;and\u0026nbsp;Prairie View A\u0026amp;M University Assistant Professor\u0026nbsp;Xishuang Dong\u0026nbsp;partnered with NVIDIA\u0026rsquo;s Deep Learning Institute to develop a data science teaching kit.\u0026nbsp;The kit teaches students fundamental and advanced topics on accelerated data science, machine learning, data visualization, graph analytics, and more.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn 2019, the School of CSE earned a grant from NVIDIA\u0026rsquo;s Artificial Intelligence Lab (NVAIL). The NVAIL grant facilitated Chau\u0026rsquo;s DLI collaborations, as well as gifted the School a NVIDIA DGX station and $100,000 cash award for one year toward research into scalable graph algorithms.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWith the addition of Bryngelson\u0026rsquo;s GPUs to these tools from NVIDIA, the School of CSE is fulfilling its mission of solving difficult problems through interdisciplinary cooperation and external partnerships.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Georgia Tech and NVIDIA has had a long partnership and we gratefully acknowledge their contributions in our research and publications,\u0026rdquo; Bryngelson said.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Assistant Professor Spencer Bryngelson recently received two NVIDIA A100-80GB graphic processing units towards his research through NVIDIA\u2019s Academic Hardware Grant Program."}],"uid":"36319","created_gmt":"2022-05-24 13:09:41","changed_gmt":"2022-05-24 13:09:41","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-05-19T00:00:00-04:00","iso_date":"2022-05-19T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"658365":{"id":"658365","type":"image","title":"CODA Hive","body":null,"created":"1652982408","gmt_created":"2022-05-19 17:46:48","changed":"1652982408","gmt_changed":"2022-05-19 17:46:48","alt":"","file":{"fid":"249570","name":"CODA Hive.jpg","image_path":"\/sites\/default\/files\/images\/CODA%20Hive.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/CODA%20Hive.jpg","mime":"image\/jpeg","size":47148,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/CODA%20Hive.jpg?itok=MZ0QWB8S"}}},"media_ids":["658365"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"76231","name":"Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"658329":{"#nid":"658329","#data":{"type":"news","title":"Graduate Q\u0026A: Kasimir Gabert","body":[{"value":"\u003Cp\u003EThe\u0026nbsp;College of Computing\u0026nbsp;confers degrees to deserving graduates every semester. During the week leading up to spring Commencement, one graduate reflected on his time at\u0026nbsp;Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/kasimir.co\/\u0022\u003EKasimir Gabert\u003C\/a\u003E\u0026nbsp;graduated with a Ph.D. from the\u0026nbsp;School of Computational Science and Engineering\u0026nbsp;(CSE) where he was advised by Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~umit\/\u0022\u003E\u0026Uuml;mit \u0026Ccedil;ataly\u0026uuml;rek\u003C\/a\u003E.\u0026nbsp;In a Q\u0026amp;A discussion, Gabert described his best memories and offered advice on \u0026ldquo;getting out\u0026rdquo; of Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhat were your research interests and notable projects while at Georgia Tech?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe are living in a world with an increasing amount of data. From diverse areas such as social activities, biological processes, and computer traffic, much of this data contains internal relationships which are well represented as graphs. I have been fascinated with the problem of trying to understand the internal structure of these large, sparse graphs, especially as they change over time. I have been involved with two notable projects. First, discovering a way of keeping track of nuclei, which are locally dense and important regions of graphs, as the graphs are changing. The second has been to develop a large, distributed system that can compute analytics on changing graphs and elastically scale itself as the rate of change and size of the input graph varies.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhat is your favorite memory from Georgia Tech?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEvery year at the annual supercomputing conference, Georgia Tech holds a booth and typically has several excellent papers. I have great memories of staffing the Georgia Tech booth, attending engaging talks, participating in various supercomputing events, and making many new connections with people. It is hard to justify numerous, year-round in-person computer science conferences with their associated carbon footprints and travel demands; having one annual, domain-wide conference may be a sustainable approach that avoids many of the drawbacks.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhat advice would you give to other students who are just getting started on their Ph.D. here?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGetting a Ph.D. is not a small undertaking and, differing from your prior degrees, it will change in shape significantly over the course of the degree. At many points it will feel indefinitely far away; you may get discouraged and frustrated with rejection and a lack of progress. My advice would be to always keep moving forward in whatever way you can. Do not dwell on setbacks, and instead always try to improve and find the most exciting, rewarding path forward. If possible, tune your memory to preserve details on every paper you have read, and, at the same time, forget every rejection you have received.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhat is next in your career? How did Georgia Tech help you get there?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI will work as a staff member at Sandia National Laboratories, addressing data science problems across a variety of domains. My experience at Georgia Tech has been crucial for me being able to address such problems effectively. My advisor and committee have helped guide my research so that it can apply to real-world problems, both by addressing the scale of the data algorithmically and through developing well tested and usable implementations.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The College of Computing confers degrees to deserving graduates every semester. During the week leading up to spring Commencement, one graduate reflected on his time at Georgia Tech."}],"uid":"36319","created_gmt":"2022-05-18 19:57:04","changed_gmt":"2022-05-18 19:57:04","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-05-10T00:00:00-04:00","iso_date":"2022-05-10T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"658328":{"id":"658328","type":"image","title":"Kasimir Gabert Graphic","body":null,"created":"1652903790","gmt_created":"2022-05-18 19:56:30","changed":"1652903790","gmt_changed":"2022-05-18 19:56:30","alt":"","file":{"fid":"249551","name":"kasimir story.jpg","image_path":"\/sites\/default\/files\/images\/kasimir%20story.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/kasimir%20story.jpg","mime":"image\/jpeg","size":677958,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/kasimir%20story.jpg?itok=jZa2Xn8b"}}},"media_ids":["658328"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"76231","name":"Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"657613":{"#nid":"657613","#data":{"type":"news","title":"Computer Scientists Build, Test, and Present Model to Curb Online Ban Evasion","body":[{"value":"\u003Cp\u003EBan evasion is a problem for users, moderators, and platforms alike. Evaders torment users on popular websites and get banned by moderators, only to return under a new account to continue their malicious behavior.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EStudents and faculty at Georgia Tech\u0026rsquo;s\u0026nbsp;College of Computing\u0026nbsp;published\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~srijan\/pubs\/Ban-evasion-WWW2022.pdf\u0022\u003Ea study\u003C\/a\u003E\u0026nbsp;that can help online moderators stop ban evasion in its tracks. Claiming to be the first data-driven study on ban evasion behavior, the research team developed a new model that proved it can predict and detect ban evasion.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENot only does the model keep the internet an enjoyable environment for users, it makes the world a safer place. Along with harassment and spread of terroristic propaganda, some real-world acts of mass violence are linked to ban evasion according to the study.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Ban evasion is arguably one of the biggest threats to web safety and integrity,\u0026rdquo; said\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~skumar498\/\u0022\u003ESrijan Kumar\u003C\/a\u003E, assistant professor at the\u0026nbsp;School of Computational Science and Engineering\u0026nbsp;(CSE) and co-author of the study. \u0026ldquo;It is incredibly trivial for malicious actors to create a new account to continue their malicious activities after their original account is banned. We wanted to understand how ban evaders behave and how to detect and prevent it.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Ch5\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/work-limiting-internet-fraud-lands-assistant-professor-prestigious-forbes-list\u0022\u003E[RELATED:\u0026nbsp;Work Limiting Internet Fraud Lands Assistant Professor on Prestigious Forbes List]\u003C\/a\u003E\u003C\/h5\u003E\r\n\r\n\u003Cp\u003EAlong with Kumar, contributing researchers of the study from the College includes\u0026nbsp;\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/gaurav22verma.github.io\/\u0022\u003EGaurav Verma\u003C\/a\u003E\u003C\/strong\u003E,\u0026nbsp;a Ph.D. student at the School of CSE, and\u0026nbsp;\u003Cstrong\u003EManoj\u003C\/strong\u003E \u003Cstrong\u003ENiverthi\u003C\/strong\u003E, an undergraduate student majoring in computer science.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKumar, Verma, and Niverthi teamed with Wikipedia to attain data, study evader behavior, and test their model. Its application could be used where ban evasion occurs such as popular social media platforms, eBay, Khan Academy, and Twitch.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlthough moderators currently use manual and automatic algorithms to identify malicious activity, they often encounter difficulty predicting and detecting evaders following bans. No tool exists to help automate ban evasion detection and prediction.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team\u0026rsquo;s model recorded a high accuracy rate in predicting likelihood whether malicious \u0026ldquo;parent\u0026rdquo; accounts will evade bans in the future using data such as account creation timing, linguistics, and edit history.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe study showed the model can correctly detect \u0026ldquo;child\u0026rdquo; accounts soon after creation. This is useful for moderators to automatically monitor their platforms from ban evaders.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe same model also yielded high success rates of discerning ban evaders from malicious non-evaders.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKumar, Niverthi, and Verma have made the ban evasion dataset\u0026nbsp;\u003Ca href=\u0022https:\/\/github.com\/srijankr\/ban_evasion\u0022\u003Eavailable to the community\u003C\/a\u003E\u0026nbsp;to aid future research and develop additional tools for Wikipedia moderators.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team will also present findings of their study virtually at\u0026nbsp;\u003Ca href=\u0022https:\/\/www2022.thewebconf.org\/\u0022\u003EThe Web Conference\u003C\/a\u003E, April 25-29. Formerly WWW Conference, The Web Conference is the premier yearly international conference on the topic of future directions of the World Wide Web.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis will be Niverthi\u0026rsquo;s first paper presentation and Verma\u0026rsquo;s first paper presentation as a Ph.D. student.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Our work opens new avenues to be proactive to smart ban evaders and malicious actors, rather than being reactive,\u0026rdquo; said Kumar. \u0026ldquo;I am incredibly proud of both Gaurav and Manoj who co-led the work.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Students and faculty at Georgia Tech\u2019s College of Computing published a study that can help online moderators stop ban evasion in its tracks."}],"uid":"32045","created_gmt":"2022-04-26 17:43:24","changed_gmt":"2022-05-18 19:52:47","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-04-22T00:00:00-04:00","iso_date":"2022-04-22T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"657614":{"id":"657614","type":"image","title":"Ban evasion research team-School of CSE-2022","body":null,"created":"1650995106","gmt_created":"2022-04-26 17:45:06","changed":"1650995106","gmt_changed":"2022-04-26 17:45:06","alt":"Students and faculty at Georgia Tech\u2019s College of Computing published a study that can help online moderators stop ban evasion in its tracks.","file":{"fid":"249241","name":"Kumar_Verma.jpeg","image_path":"\/sites\/default\/files\/images\/Kumar_Verma.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Kumar_Verma.jpeg","mime":"image\/jpeg","size":46463,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Kumar_Verma.jpeg?itok=80ZtjF4e"}}},"media_ids":["657614"],"groups":[{"id":"37041","name":"Computational Science and Engineering"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"1188","name":"Research Horizons"}],"categories":[],"keywords":[{"id":"187915","name":"go-researchnews"}],"core_research_areas":[{"id":"145171","name":"Cybersecurity"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu?subject=Ban%20Evasion%20Research\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["bryant.wine@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"658323":{"#nid":"658323","#data":{"type":"news","title":"CSE Students, Faculty Finish the Year Strong with Awards Ceremonies","body":[{"value":"\u003Cp\u003EGeorgia Tech\u0026rsquo;s\u0026nbsp;School of Computational Science and Engineering\u0026nbsp;(CSE) is concluding the Spring 2022 semester on a high note with many students, faculty, staff, and alumni receiving awards and accolades.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBy earning awards at the College, Institute, and levels beyond, the School of CSE continues to distinguish itself as a top-tier school for research and learning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;CSE is honored to be recognized by our peers in the College of Computing for the work that we do and for striving for excellence,\u0026rdquo; said\u0026nbsp;Edmond Chow, School of CSE associate professor and associate chair. \u0026ldquo;The award winners and CSE have much to be proud of and to celebrate.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe\u0026nbsp;College of Computing\u0026nbsp;recognized numerous School of CSE students, faculty and staff at its 31st Annual Awards Celebration on April 21. Awardees included:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003ECSE Ph.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/gaurav22verma.github.io\/\u0022\u003EGaurav Verma\u003C\/a\u003E- Rising Star Doctoral Student Research Award\u003C\/li\u003E\r\n\t\u003Cli\u003ECSE M.S. student\u0026nbsp;Shoale Badr- Donald V. Jackson Fellowship Award\u003C\/li\u003E\r\n\t\u003Cli\u003ECSE M.S. student\u0026nbsp;Pengda Xie- Marshall D. Williamson Fellowship Award\u003C\/li\u003E\r\n\t\u003Cli\u003ECSE Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/vuduc.org\/v2\/\u0022\u003ERichard Vuduc\u003C\/a\u003E- Outstanding Senior Faculty Research Award\u003C\/li\u003E\r\n\t\u003Cli\u003ECSE Associate Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~dchau\/\u0022\u003EPolo Chau\u003C\/a\u003E- Outstanding Mid-Career Faculty Research Award\u003C\/li\u003E\r\n\t\u003Cli\u003ECSE Assistant Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~skumar498\/\u0022\u003ESrijan Kumar\u003C\/a\u003E- Outstanding Junior Faculty Research Award\u003C\/li\u003E\r\n\t\u003Cli\u003ECSE Regents\u0026rsquo; Professor and Chair\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~hpark\/\u0022\u003EHaesun Park\u003C\/a\u003E- Outstanding Faculty Leadership Award\u003C\/li\u003E\r\n\t\u003Cli\u003ESchool Administrative Officer\u0026nbsp;Arlene Washington-Capers- Outstanding Staff Mentoring Award\u003C\/li\u003E\r\n\t\u003Cli\u003EResearch Operations Program Manager\u0026nbsp;Holly Rush- Outstanding Staff Leadership Award\u003C\/li\u003E\r\n\t\u003Cli\u003EAcademic Program Coordinator\u0026nbsp;Nirvana Edwards- Acknowledgement 10 Years of Service\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EAmong other accolades,\u0026nbsp;\u003Ca href=\u0022https:\/\/fredhohman.com\/\u0022\u003EFred Hohman\u003C\/a\u003E, M.S. CSE 2018, Ph.D. CSE 2020, received the 2022 Outstanding Dissertation Award\u0026nbsp;from ACM SIGCHI for his work\u0026nbsp;\u003Cem\u003E\u003Ca href=\u0022https:\/\/fredhohman.com\/papers\/fred-hohman-thesis.pdf\u0022\u003EInteractive Scalable Interfaces for Machine Learning Interpretability\u003C\/a\u003E\u003C\/em\u003E. Hohman\u0026rsquo;s dissertation, which was supported by a NASA Space Technology Research Fellowship, also earned him a dissertation award at the College\u0026rsquo;s award celebration.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech\u0026rsquo;s\u0026nbsp;Center of Teaching and Learning\u0026nbsp;(CTL) recognized four School of CSE students at its Teaching Assistant and Future Faculty Awards Day on April 20.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECSE Ph.D. student\u0026nbsp;Ruijia Wang\u0026nbsp;received a Graduate Teaching Assistant of the Year Award while\u0026nbsp;Kevin Li, an undergraduate student majoring in computer science, received an Undergraduate Teaching Assistant of the Year Award.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlso, CSE Postdoctoral Fellow\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/nimisha-roy-775b09155\u0022\u003ENimisha Roy\u003C\/a\u003E\u0026nbsp;received a Graduate Student Instructor Award and CSE Ph.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/scholar.google.com\/citations?user=gLpK-rUAAAAJ\u0026amp;hl=en\u0022\u003EPatrick Lavin\u003C\/a\u003E\u0026nbsp;received a certificate for completing CTL\u0026rsquo;s Tech to Teaching program.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAt the international level, CSE Ph.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.cc.gatech.edu\/~acastillo41\/\u0022\u003EAlexander Rodriguez\u003C\/a\u003E\u0026nbsp;was one of only 200 young researchers accepted to the 9th Heidelberg Laureate Forum. The forum brings together rising scholars in mathematics and computer science for a week of scientific exchange in September.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I\u0026#39;m excited about this opportunity to be inspired by the life, experience, and wisdom of successful senior researchers and energized by my fellow young scholars,\u0026rdquo; Rodriguez said. \u0026ldquo;Thanks to the faculty for\u0026nbsp;leading in excellence by being an example and thanks\u0026nbsp;to my colleagues\u0026nbsp;for their guidance and support when I have difficulties.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech\u2019s School of Computational Science and Engineering (CSE) is concluding the Spring 2022 semester on a high note with many students, faculty, staff, and alumni receiving awards and accolades.  By earning awards at the College, Institute, and lev"}],"uid":"36319","created_gmt":"2022-05-18 19:20:49","changed_gmt":"2022-05-18 19:23:01","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-04-28T00:00:00-04:00","iso_date":"2022-04-28T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"658319":{"id":"658319","type":"image","title":"CC News Default","body":null,"created":"1652901286","gmt_created":"2022-05-18 19:14:46","changed":"1652901286","gmt_changed":"2022-05-18 19:14:46","alt":"","file":{"fid":"249546","name":"CC News Default.png","image_path":"\/sites\/default\/files\/images\/CC%20News%20Default.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/CC%20News%20Default.png","mime":"image\/png","size":549085,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/CC%20News%20Default.png?itok=W3ZiTLu5"}}},"media_ids":["658319"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"76231","name":"Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr \/\u003E\r\nbryant.wine@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"657324":{"#nid":"657324","#data":{"type":"news","title":"The Link Between Transit Use and Early Covid Cases","body":[{"value":"\u003Cp\u003EResearchers from Georgia Tech\u0026rsquo;s Colleges of Engineering and Computing have completed the first published study on the link between America\u0026rsquo;s mass transit use and Covid-19 cases at the beginning of the pandemic.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUsing data from the Federal Highway Administration\u0026rsquo;s \u003Ca href=\u0022https:\/\/nhts.ornl.gov\/\u0022\u003ENational Household Travel Survey\u003C\/a\u003E, the team looked at the nation\u0026rsquo;s 52 largest metropolitan areas and each community\u0026rsquo;s likelihood of riding buses and trains. They then compared the numbers with the 838,000 confirmed Covid cases on the Johns Hopkins Center for Systems Science and Engineering\u0026#39;s dashboard from Jan. 22 \u0026ndash; May 1, 2020.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe timeframe covers the initial days, weeks, and months of the pandemic, before mask mandates were in place and prior to widespread social distancing. Ventilation on public transit had yet to be addressed, along with other public health measures that have since become the norm.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe study found that cities with high-usage public transportation systems displayed higher per capita Covid incidence. This was true when other factors, such as education, poverty levels, and household crowding, were accounted for. The association continued to be statistically significant even when the model was run without data from transit-friendly New York City.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe paper, \u0026ldquo;\u003Ca href=\u0022https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0048969721073605?via%3Dihub\u0022\u003EInvestigating the association between mass transit adoption and COVID-19 infections in US metropolitan areas\u003C\/a\u003E,\u0026rdquo; is published in the journal \u003Cem\u003EScience of the Total Environment\u003C\/em\u003E. While the researchers don\u0026rsquo;t suggest that transit is the sole cause of the high incidence rates, they say it could have been an important factor early in the pandemic.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This is what we expected, but we wanted to run the models to know for sure. Policymakers shouldn\u0026rsquo;t make decisions based on what they assume to be true,\u0026rdquo; said \u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/people\/michael-m-thomas\u0022\u003EMichael Thomas\u003C\/a\u003E, one of the study\u0026rsquo;s co-authors and a Ph.D. student in Georgia Tech\u0026rsquo;s \u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E. \u0026ldquo;This study is similar to dusting off a dinosaur dig site and finding a leg bone. This isn\u0026rsquo;t the entire dinosaur. There are many ways of making the argument about Covid spread, and transit is just part of it.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team got the idea of tracking transit and Covid cases after watching early reports from Wuhan, China, and reflecting on how differences in public transportation systems may factor into pandemic spread patterns. As assumptions were being made about how American cities should react based on ridership patterns on the other side of the globe, Professor \u003Ca href=\u0022https:\/\/ce.gatech.edu\/people\/faculty\/7029\/overview\u0022\u003EJohn Taylor\u003C\/a\u003E thought the pandemic shouldn\u0026rsquo;t be treated as a \u0026ldquo;one size fits all\u0026rdquo; situation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In the initial months of the pandemic, models were being developed here at home based on incidence rates in Wuhan. But, in terms of mass transit ridership behavior, China\u0026rsquo;s may be far different than what we see in American cities,\u0026rdquo; said Taylor, Frederick Law Olmsted Professor and associate chair for graduate programs and research innovation in the \u003Ca href=\u0022https:\/\/cee.gatech.edu\/\u0022\u003ESchool of Civil and Environmental Engineering\u003C\/a\u003E. \u0026ldquo;For instance, people in Chinese urban areas often stand in long, single file lines as they wait for trains and buses. We don\u0026rsquo;t. Different spread patterns can develop because of differences in mass transit behaviors.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETaylor\u0026rsquo;s primary research focuses on the dynamics that can occur at the intersection of human and engineered networks, such as how people change electricity consumption behaviors and changing mobility patterns in natural disasters. Pandemics were on his research radar before Covid became a household name, as Taylor wanted to create better models to forecast the spread of illnesses. His first research effort in this direction was tracking the Ebola virus that reached Texas in 2014.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn the fall of 2019, Thomas was working as a biostatistician at the Georgia Department of Public Health when he spoke with Taylor about pursuing his Ph.D. Thomas submitted his application to Georgia Tech that November \u0026mdash; just four months before Covid shut down America.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe two, along with study co-author and senior research engineer \u003Ca href=\u0022https:\/\/ce.gatech.edu\/category\/neda-mohammadi\u0022\u003ENeda Mohammadi\u003C\/a\u003E, are now creating models to predict the spread of future illnesses among populations. They\u0026rsquo;re also looking to demonstrate how researchers can modify those models for better accuracy.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;If engineers and scientists can better understand the factors of community spread, policymakers can make faster, more accurate decisions to protect public health,\u0026rdquo; said Thomas. \u0026ldquo;In transportation, for example, it could lead to quicker decisions to restrict the number of people on buses. Or policies to stagger vehicle departure times more consistently. Studies like ours provide a basis for those decisions.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHaving more accurate models also takes varying human behavior into account, according to the researchers. Just as people in Wuhan wait for public transportation differently than those here in America, cities can differ from each other.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Your pandemic is different than your neighbor\u0026rsquo;s,\u0026rdquo; said Mohammadi. \u0026ldquo;Pandemic spread isn\u0026rsquo;t the same from city to city, nor is ridership. Decision makers often look to other communities to see how they\u0026rsquo;re responding to shape their actions. That\u0026rsquo;s not always accurate. Models need to be customizable because populations don\u0026rsquo;t react uniformly. It\u0026rsquo;s our goal to improve decision making to be easier, faster, and more accurate for the next pandemic.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECITATION:\u003C\/strong\u003E\u0026nbsp;Thomas, M., Mohammadi, N., Taylor, J. Investigating the association between mass transit adoption and COVID-19 infections in US metropolitan areas. Science of the Total Environment Vol 811, 152284 (2022). \u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.scitotenv.2021.152284\u0022\u003Ehttps:\/\/doi.org\/10.1016\/j.scitotenv.2021.152284\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EThis material is based upon work supported by the National Science Foundation (NSF) under Grant No. 1837021. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF. \u003C\/em\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":[{"value":"New study looks at the association of America\u2019s mass transportation usage and case counts in opening months of the pandemic"}],"field_summary":[{"value":"\u003Cp\u003EThe study found that cities with high-usage public transportation systems displayed higher per capita Covid incidence. This was true when other factors, such as education, poverty levels, and household crowding, were accounted for. The association continued to be statistically significant even when the model was run without data from transit-friendly New York City.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"A new study looks at the link between America\u2019s mass transit use and Covid-19 cases at the beginning of the pandemic."}],"uid":"27560","created_gmt":"2022-04-15 16:15:47","changed_gmt":"2022-04-18 22:44:40","author":"Jason Maderer","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-04-15T00:00:00-04:00","iso_date":"2022-04-15T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"657322":{"id":"657322","type":"image","title":"Transit and Covid Research Team","body":null,"created":"1650038890","gmt_created":"2022-04-15 16:08:10","changed":"1650038890","gmt_changed":"2022-04-15 16:08:10","alt":"Michael Thomas, John Taylor, and Neda Mohammadi","file":{"fid":"249130","name":"Three researchers.jpg","image_path":"\/sites\/default\/files\/images\/Three%20researchers.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Three%20researchers.jpg","mime":"image\/jpeg","size":755375,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Three%20researchers.jpg?itok=YNrfKNjI"}},"657325":{"id":"657325","type":"image","title":"People riding subway","body":null,"created":"1650039574","gmt_created":"2022-04-15 16:19:34","changed":"1650039574","gmt_changed":"2022-04-15 16:19:34","alt":"People riding subway","file":{"fid":"249131","name":"MicrosoftTeams-image (61).png","image_path":"\/sites\/default\/files\/images\/MicrosoftTeams-image%20%2861%29.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/MicrosoftTeams-image%20%2861%29.png","mime":"image\/png","size":789278,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/MicrosoftTeams-image%20%2861%29.png?itok=cVBwpwZ7"}}},"media_ids":["657322","657325"],"groups":[{"id":"1237","name":"College of Engineering"},{"id":"47223","name":"College of Computing"},{"id":"1253","name":"School of Civil and Envrionmental Engineering"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"1188","name":"Research Horizons"}],"categories":[],"keywords":[{"id":"187915","name":"go-researchnews"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[{"id":"71891","name":"Health and Medicine"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJason Maderer\u003Cbr \/\u003E\r\nCollege of Engineering\u003Cbr \/\u003E\r\nmaderer@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["maderer@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"654649":{"#nid":"654649","#data":{"type":"news","title":"Major Philanthropic Grant Will Create New Center to Advance Open-Source Software","body":[{"value":"\u003Cp\u003EThe Georgia Tech College of Computing has received an $11 million grant from Schmidt Futures to create one of the four software engineering centers within the newly launched Virtual Institute for Scientific Software (VISS). The new center will hire half-a-dozen software engineers to write scalable, reliable, and portable open-source software for scientific research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Scientific research involves increasingly complex software, technologies, and platforms,\u0026rdquo; said\u0026nbsp;\u003Cstrong\u003EAlessandro Orso\u003C\/strong\u003E, the software engineer and professor of computer science who is heading up the project. \u0026ldquo;Also, platforms constantly evolve, and the complexity and amount of data involved is ever-growing.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe result is that these software systems are often developed as prototypes that are difficult to understand, maintain, and use, which limits their efficacy and ultimately hinders scientific progress.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESoftware engineers are trained to address these kinds of issues and know how to build high-quality software, but their time is too expensive for a typical research project\u0026rsquo;s budget. In typical grants, software is often treated as a byproduct of research, meaning that limited funding is allocated for it.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThat\u0026rsquo;s where\u0026nbsp;\u003Ca href=\u0022https:\/\/www.schmidtfutures.com\/\u0022\u003ESchmidt Futures\u003C\/a\u003E\u0026nbsp;comes in. Schmidt Futures is\u0026nbsp;a philanthropic initiative\u0026nbsp;founded by\u0026nbsp;\u003Cstrong\u003EEric\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EWendy\u003C\/strong\u003E\u0026nbsp;\u003Cstrong\u003ESchmidt\u003C\/strong\u003E\u0026nbsp;that bets early on exceptional people\u0026nbsp;making the world better.\u0026nbsp;They are investing $40 million in VISS over five years at four universities: Georgia Tech, University of Washington, Johns Hopkins University, and University of Cambridge.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Schmidt Futures\u0026rsquo; Virtual Institute for Scientific Software is a core part of our efforts to mobilize exceptional talent to solve specific hard problems in science and society,\u0026rdquo; said Executive Vice President\u0026nbsp;\u003Cstrong\u003EElizabeth Young-McNally\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAt Georgia Tech, the funds will hire a software engineering lead, as well as three senior and two junior software engineers. A faculty director and an advisory board will help guide the group\u0026rsquo;s work, which will include collaborations with Georgia Tech scientists.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;We are very proud to host one of the four inaugural Schmidt Futures Virtual Institute of Scientific Software centers,\u0026rdquo; said\u0026nbsp;\u003Cstrong\u003ECharles Isbell\u003C\/strong\u003E, Dean and John P. Imlay Jr. Chair of Computing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Georgia Tech\u0026rsquo;s center will advance and support scientific research by applying modern software engineering practices, cutting-edge technologies, and modern tools to the development of scientific software. The center will also engage with students and researchers to train the next generation of software engineering leaders.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Using a new philanthropic grant, Georgia Tech will hire software engineers to write scalable, reliable, and portable open-source software for scientific research."}],"uid":"32045","created_gmt":"2022-01-21 14:33:09","changed_gmt":"2022-01-24 16:06:04","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-01-21T00:00:00-05:00","iso_date":"2022-01-21T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"654650":{"id":"654650","type":"image","title":"Software engineering ideas","body":null,"created":"1642775687","gmt_created":"2022-01-21 14:34:47","changed":"1642775687","gmt_changed":"2022-01-21 14:34:47","alt":"Clear light bulb in foreground with blue screen binary code as background","file":{"fid":"248265","name":"fellowship_banner_hg.jpg","image_path":"\/sites\/default\/files\/images\/fellowship_banner_hg_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/fellowship_banner_hg_0.jpg","mime":"image\/jpeg","size":42805,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/fellowship_banner_hg_0.jpg?itok=xyDlXyGs"}}},"media_ids":["654650"],"groups":[{"id":"37041","name":"Computational Science and Engineering"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"},{"id":"1214","name":"News Room"},{"id":"1188","name":"Research Horizons"}],"categories":[],"keywords":[{"id":"109","name":"Georgia Tech"},{"id":"654","name":"College of Computing"},{"id":"170965","name":"software engineering"},{"id":"189775","name":"Schmidt Futures"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[{"id":"71881","name":"Science and Technology"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAnn Claycombe, Director of Communications\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:claycombe@cc.gatech.edu?subject=Philanthropic%20grant\u0022\u003Eclaycombe@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["claycombe@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"650714":{"#nid":"650714","#data":{"type":"news","title":"School of CSE Expands with Five New Faculty Hires","body":[{"value":"\u003Cp\u003EThe School of Computational Science and Engineering (CSE) is expanding its research portfolio with the hiring of five new tenure-track faculty.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECSE is a unique entity in academia as it is one of the first and only schools dedicated to the intersection of computational science and engineering research. This distinction complements CSE\u0026rsquo;s mission to hire premier faculty and recruit top-tier students to solve real-world problems through advances in computational modeling methods and techniques.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe latest cohort of new CSE faculty includes Assistant Professors\u0026nbsp;Spencer Bryngelson and Florian Sch\u0026auml;efer\u0026nbsp;who joined CSE at the at the start of the 2021 fall term.\u0026nbsp;Nabil Imam\u0026nbsp;will join as an assistant professor January 2022 and\u0026nbsp;Anqi Wu\u0026nbsp;and\u0026nbsp;Yunan Luo\u0026nbsp;will join as assistant professors in Spring 2022.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E[Insert Bryngelson headshot]\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBryngelson comes to CSE from the California Institute of Technology (Caltech) where he worked as a senior postdoctoral researcher. He also served as a visiting researcher at Massachusetts Institute of Technology (MIT) as well as a postdoctoral researcher at the Center for Exascale Simulation of Plasma-Coupled Combustion. His research emphasis is on computational physics, numerical methods, fluid dynamics, and HPC.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Bryngelson, \u0026ldquo;The department of CSE is a unique one from across the country and that\u0026rsquo;s part of the reason that I wanted to come to Georgia Tech. CSE lets me focus on the things that I really care about while not being in a monolithic type of environment and instead I can be focused more on my interests.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe received his Ph.D.\u0026nbsp;and M.S. in Theoretical and Applied Mechanics from the University of Illinois at Urbana\u0026ndash;Champaign in 2017 and 2015. In 2013, he received\u0026nbsp;B.S. degrees in both Mechanical Engineering and Mathematics from the University\u0026nbsp;of Michigan\u0026ndash;Dearborn.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E[Insert Sch\u0026auml;efer headshot]\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESch\u0026auml;efer\u0026rsquo;s arrival marks the expansion of CSE\u0026rsquo;s focus on mathematics-based research including partial differential equations, statistical inference, and game theory. He joins CSE after graduating in applied and computational mathematics from Caltech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I wanted to be in close contact with computationally-minded engineers and engineering departments in general. I think CSE plays this role quite nicely where it\u0026rsquo;s this computational arm so to speak of engineering efforts at Georgia Tech. It offers a rich environment for someone like me to find interesting problems and interesting things to look at from a psycho mathematical angle and hopefully design some new technology from that,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBefore coming to Caltech, Schaefer obtained his bachelor\u0026rsquo;s\u0026nbsp;and master\u0026rsquo;s degrees in mathematics at the University of Bonn.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E[Insert Imam headshot]\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EImam\u0026rsquo;s research interests are in formal descriptions of neural computations and their applications to post-Moore computing.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe received his Ph.D. from the Department of Electrical and Computer Engineering at Cornell University in 2014, with minors in neuroscience and applied mathematics. During his time in graduate school, he worked on\u0026nbsp;Defense Advanced Research Projects Agency\u0026rsquo;s\u0026nbsp;SyNAPSE program and built computing systems modeled after the architecture and dynamics of biological neural networks. He subsequently worked at IBM Research as part of the design team for IBM\u0026rsquo;s TrueNorth. He also worked with Intel Labs on its Loihi neural computing systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Imam, he chose to pursue a role at CSE because of its supportive design for interdisciplinary research goals and he is looking forward to\u0026nbsp;getting students excited about the application of CSE methods as they pertain to problems in neuroscience.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E[Insert Wu Headshot]\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWu is a postdoctoral research fellow at the Center for Theoretical Neuroscience at the Zuckerman Mind Brain Behavior Institute at Columbia University. She received her Ph.D. degree in computational and quantitative neuroscience and a graduate certificate in statistics and machine learning from Princeton University in 2019. She holds a master\u0026rsquo;s degree in computer science from the University of Southern California (USC).\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShe worked as a summer research associate at the University of Texas at Austin and Microsoft Research, Cambridge. Her research interest is to develop Bayesian statistical models to characterize structure in neural data and animal behavior data in the interdisciplinary field of machine learning and computational neuroscience. Wu received the USC Chevron Fellowship and was selected for the 2018 MIT Rising Star in Electrical Engineering and Computer Science.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWu said, \u0026ldquo;I am highly attracted to the School of CSE because of its deep commitment to interdisciplinary research and scientific computing. My interdisciplinary background in machine learning and computational neuroscience equips me well to complement and augment the school\u0026rsquo;s existing strengths. There are also various research collaboration opportunities, with outreach to BME, ECE, biological science, and the neuroscience program at Georgia Tech. I\u0026rsquo;m also looking forward to joining the community to foster a collaborative environment, especially between machine learning and neuroscience.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E[Insert Luo headshot]\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nLuo is currently concluding his term as a Ph.D. candidate at the Department of Computer Science at the University of Illinois at Urbana-Champaign. \u0026nbsp;Previously, he received his bachelor\u0026rsquo;s degree in Computer Science from Tsinghua University in 2016. His\u0026nbsp;research interests include computational biology and medicine, machine learning, and scientific discovery that is guided by artificial intelligence (AI).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Luo, he chose to pursue a role at Georgia Tech due to its strong computer science Ph.D. programs.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I am mostly excited about the vibrant interdisciplinary research environment across the campus, which will provide many collaborative and translational research opportunities. I am thrilled to join CSE during this exciting time of rapid growth in AI and biomedical science and look forward to working with the amazing faculty members, students, and researchers here,\u0026rdquo; he said.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Five new tenure-track faculty to join CSE 2021-2022."}],"uid":"34540","created_gmt":"2021-09-13 17:55:02","changed_gmt":"2021-09-13 17:55:02","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-09-13T00:00:00-04:00","iso_date":"2021-09-13T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"650709":{"id":"650709","type":"image","title":"5 new cse faculty 2021","body":null,"created":"1631555454","gmt_created":"2021-09-13 17:50:54","changed":"1631555454","gmt_changed":"2021-09-13 17:50:54","alt":"5 new faculty","file":{"fid":"246933","name":"5newfaculty.jpg","image_path":"\/sites\/default\/files\/images\/5newfaculty.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/5newfaculty.jpg","mime":"image\/jpeg","size":203144,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/5newfaculty.jpg?itok=nllmpmgC"}}},"media_ids":["650709"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"649775":{"#nid":"649775","#data":{"type":"news","title":"New Web Experience Launches with Focus on Users\u2019 Needs","body":[{"value":"\u003Cp\u003EThe College of Computing is set to launch a newly designed website on Aug. 20.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe new site will provide a faster and more user-friendly digital experience while offering greater accommodation for those with accessibility needs.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETwo major components of this redesign includes menus organized by user groups rather than by departmental structure and an enhanced mobile-friendly experience that is compatible with all major browsers and across all devices.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis new streamlined experience is further complemented by the updated\u0026nbsp;\u003Ca href=\u0022https:\/\/brand.gatech.edu\/\u0022\u003EGeorgia Tech branding theme\u003C\/a\u003E\u0026nbsp;which features the iconic Tech Gold header and characteristic Institute-wide slogan, Creating the Next.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUsers will notice a number of other engaging new features. These range from the ability to sort faculty members by school to being able to sort events by type and function.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe research needed to complete such a major transformation was compiled by two student teams from the School of Interactive Computing master\u0026rsquo;s in\u0026nbsp;\u003Ca href=\u0022https:\/\/mshci.gatech.edu\/\u0022\u003EHuman Computer Interaction (HCI) program\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETeam members\u0026nbsp;\u003Cstrong\u003EHarshali Wadge,\u003C\/strong\u003E\u0026nbsp;\u003Cstrong\u003ESantiago Arconada Alvarez,\u0026nbsp;\u003C\/strong\u003E\u003Cstrong\u003EPrabodh Sakhardande, Shihui Ruan, Jordan Hill, Jordan Cox, Chaoyuan Luo, Yuhan Zhou,\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003ELu Meng\u003C\/strong\u003E\u0026nbsp;were all leads on this research as part of the HCI Special Topics class taught by Senior Research Scientist\u0026nbsp;\u003Cstrong\u003ECarrie Bruce\u003C\/strong\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese student teams spent the 2019 Fall semester assembling a series of evidence-based design methods, field surveys, and testing groups that were used to inform the overall user experience of this new site.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWith the student teams\u0026rsquo; initial research and the efforts of a dedicated team of staff, the college has successfully condensed several thousand pages of content into hundreds. This aggregation and purging of old content will allow all audiences to enjoy a more up-to-date and direct experience.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor any questions, suggestions, or updates upon launch, please complete the Website Feedback Form which is located on the main menu under the About dropdown tab.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"College of Computing rolls out the red carpet for a new college website."}],"uid":"34540","created_gmt":"2021-08-17 17:21:11","changed_gmt":"2021-08-17 17:23:16","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-08-17T00:00:00-04:00","iso_date":"2021-08-17T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"649774":{"id":"649774","type":"image","title":"CoC Web Overhaul","body":null,"created":"1629220410","gmt_created":"2021-08-17 17:13:30","changed":"1629220410","gmt_changed":"2021-08-17 17:13:30","alt":"new website","file":{"fid":"246640","name":"new website art.jpg","image_path":"\/sites\/default\/files\/images\/new%20website%20art.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/new%20website%20art.jpg","mime":"image\/jpeg","size":349566,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/new%20website%20art.jpg?itok=HgCt33KG"}}},"media_ids":["649774"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"431631","name":"OMS"},{"id":"455941","name":"School of Awesome"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"},{"id":"624060","name":"Center for High Performance Computing (CHiPC)"}],"categories":[],"keywords":[{"id":"110271","name":"website"},{"id":"2496","name":"launch"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"648864":{"#nid":"648864","#data":{"type":"news","title":"Georgia Tech Faculty Hold Workshop to Improve Integration of Ethics into Courses","body":[{"value":"\u003Cp\u003EAs computer science becomes more ingrained into various areas of study and, indeed, our daily lives, an eye on the implications of innovation is needed, experts at Georgia Tech say.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo help students begin thinking about ethics with regards to research, faculty at Georgia Tech \u0026ndash; in conjunction with Mozilla \u0026ndash; held the first workshop on integrating ethics and responsible computing into courses this summer.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe workshop was a collaboration between faculty researchers at Georgia Tech in both the Ethics, Technology, and Human Interaction Center (ETHICx) and Computing and Society, as well as Mozilla. The workshop received a strong response, which organizers say indicates a growing desire for ethics at the center of computer science courses.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMembers of the College of Computing\u0026rsquo;s Division of Computing Instruction, the Schools of Interactive Computing, Computational Science and Engineering, Computer Science, and Electrical and Computer Engineering, along with attendees from Georgia State all participated in the online workshop.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It\u0026rsquo;s really gratifying to have broad representation because it demonstrates the desire for people from so many different areas to think more deeply about the role of ethics in our education,\u0026rdquo; said \u003Cstrong\u003EEllen Zegura\u003C\/strong\u003E, professor in the School of Computer Science and Fleming Chair in Telecommunications.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe goal of the workshop was to help instructors consider ways in which to implement ethics as a central piece in courses not just later in a student\u0026rsquo;s study, but from the very beginning. There\u0026rsquo;s an issue of urgency, Zegura said, that needed to be considered.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Computing has reached a point where it is being used for critical decision making that really affects people\u0026rsquo;s lives,\u0026rdquo; she said. \u0026ldquo;The need to use computing responsibly has moved up incredibly. And if we don\u0026rsquo;t talk about ethics early in the curriculum, we\u0026rsquo;re sending a message that it\u0026rsquo;s not important. If you only hear about it in one course and it\u0026rsquo;s later in your career, then what does that say about the importance? Students see that.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile official plans aren\u0026rsquo;t currently in place to continue the program, Zegura said the idea is to continue this as a series of activities that are responsive to what people\u0026rsquo;s needs are, specifically those who want to do a better job of embedding ethics into their computer science curriculum.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech graduate \u003Cstrong\u003EKathy Pham (CS \u0026rsquo;07, MS CS \u0026rsquo;09)\u003C\/strong\u003E, now at Mozilla, has been instrumental in engaging the computer science community from 15-20 universities on focusing on ethics, Zegura said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.youtube.com\/playlist?list=PLF0CYxpffvKx5W-y_xJ9xhrGapmeF70Og\u0022\u003EPortions of the workshop can be viewed on YouTube here.\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"To help students begin thinking about ethics with regards to research, faculty at Georgia Tech \u2013 in conjunction with Mozilla \u2013 held the first workshop on integrating ethics and responsible computing into courses this summer."}],"uid":"33939","created_gmt":"2021-07-19 13:16:20","changed_gmt":"2021-07-19 13:16:20","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-07-19T00:00:00-04:00","iso_date":"2021-07-19T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"644759":{"id":"644759","type":"image","title":"Ethics stock image","body":null,"created":"1614365518","gmt_created":"2021-02-26 18:51:58","changed":"1614365518","gmt_changed":"2021-02-26 18:51:58","alt":"","file":{"fid":"244800","name":"AdobeStock_117212757.jpeg","image_path":"\/sites\/default\/files\/images\/AdobeStock_117212757.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/AdobeStock_117212757.jpeg","mime":"image\/jpeg","size":725547,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/AdobeStock_117212757.jpeg?itok=3tPD5rC9"}}},"media_ids":["644759"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"648371":{"#nid":"648371","#data":{"type":"news","title":"New NVIDIA Partnership Bridges Education Gap for Data Science and Machine Learning ","body":[{"value":"\u003Cp\u003EAs data science and machine learning needs surge across the globe, many educators and students are left behind due to a lack of availability and access to comprehensive learning materials. This is where NVIDIA and Georgia Tech\u0026rsquo;s latest partnership aims to help.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDeveloped by School of Computational Science and Engineering (CSE) Associate Professor\u0026nbsp;\u003Cstrong\u003EPolo Chau\u003C\/strong\u003E\u0026nbsp;and Prairie View A\u0026amp;M University Assistant Professor\u0026nbsp;\u003Cstrong\u003EXishuang Dong\u003C\/strong\u003E, a\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nvidia.com\/en-us\/training\/teaching-kits\/\u0022\u003Eteaching kit focused on data science education\u003C\/a\u003E\u0026nbsp;as part of the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nvidia.com\/en-us\/training\/\u0022\u003ENVIDIA Deep Learning Institute (DLI)\u003C\/a\u003E\u0026nbsp;is now available for free to qualified educators.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EReleased as a multipart series, four kits are offered through NVIDIA\u0026rsquo;s DLI program in collaboration with leading researchers and professors in four research areas:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EDeep Learning\u003C\/li\u003E\r\n\t\u003Cli\u003EAccelerated Computing\u003C\/li\u003E\r\n\t\u003Cli\u003ERobotics\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003EData Science\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003ESpecifically, each of these four DLI Teaching Kits lowers the barrier to entry for educators seeking to incorporate artificial intelligence (AI) and graphic processing unit (GPU) computing in coursework by providing downloadable teaching materials and online courses.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe kit teaches students fundamental and advanced topics on accelerated data science with\u0026nbsp;the\u0026nbsp;\u003Ca href=\u0022https:\/\/rapids.ai\/\u0022\u003ENVIDIA RAPIDS\u0026nbsp;framework\u003C\/a\u003E, GPU-accelerated machine learning, data visualization, graph analytics, and more.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Traditional data science software libraries are mainly written for CPUs and don\u0026rsquo;t take advantage of GPUs. The RAPIDS library is NVIDIA\u0026rsquo;s effort to simplify and more easily use their GPU Python focused library,\u0026rdquo; said Chau.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Data Science Teaching Kit contains tens of modules and labs, with content adapted from\u0026nbsp;the popular course,\u0026nbsp;\u003Ca href=\u0022https:\/\/poloclub.github.io\/cse6242-2021spring-online\/\u0022\u003ECSE 6242: Data and Visual Analytics\u003C\/a\u003E, taught by Chau.\u0026nbsp;Georgia Tech contributors on the project include\u0026nbsp;\u003Ca href=\u0022https:\/\/poloclub.github.io\/\u0022\u003EPolo Club for Data Science\u003C\/a\u003E\u0026nbsp;researchers\u0026nbsp;\u003Cstrong\u003EScott\u0026nbsp;Freitas,\u003C\/strong\u003E\u0026nbsp;\u003Cstrong\u003EHaekyu Park, Jay Want, Jon Saad-Falcon\u003C\/strong\u003E,\u0026nbsp;\u003Cstrong\u003EKevin Li,\u0026nbsp;Aiswarya Bhagavatula\u003C\/strong\u003E, and\u0026nbsp;\u003Cstrong\u003EFrank Zhou.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The new development on our side is creating the modules and figuring out how to provide interactive labs for the students to work on and new coding questions,\u0026rdquo; said Freitas, a lead researcher on the project. \u0026ldquo;We also released three papers and each one of those papers will inform a lab in the teaching kit.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPart of these papers include two new large-scale datasets for cybersecurity which are incorporated into the toolkit to teach participants how to detect malware using new graph techniques.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Freitas, the two datasets being integrated are also\u0026nbsp;\u003Ca href=\u0022https:\/\/mal-net.org\/\u0022\u003Etwo of the largest cybersecurity and graph datasets ever released in the world\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The end goal is to help people learn how to use new state-of-the-art GPU accelerated techniques. NVIDIA has many advanced technologies that they are developing but it may not necessarily be accessible to people just getting into the field. So, this teaching kit aims to take all of these components and simplify them in a way that is successful and easy to use for educators,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Associate Professor Polo Chau co-leads an NVIDA Deep Learning Institute Data Science Teaching Kit"}],"uid":"34540","created_gmt":"2021-06-25 14:38:51","changed_gmt":"2021-06-25 14:43:45","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-06-25T00:00:00-04:00","iso_date":"2021-06-25T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"648370":{"id":"648370","type":"image","title":"NVIDIA\/CSE Teaching Kit","body":null,"created":"1624631766","gmt_created":"2021-06-25 14:36:06","changed":"1624631766","gmt_changed":"2021-06-25 14:36:06","alt":"NVIDIA DLI Data Science Teaching Kit","file":{"fid":"246145","name":"Screen Shot 2021-06-25 at 10.35.12 AM.png","image_path":"\/sites\/default\/files\/images\/Screen%20Shot%202021-06-25%20at%2010.35.12%20AM.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Screen%20Shot%202021-06-25%20at%2010.35.12%20AM.png","mime":"image\/png","size":83618,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Screen%20Shot%202021-06-25%20at%2010.35.12%20AM.png?itok=tv4y_Lpj"}}},"media_ids":["648370"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"647724":{"#nid":"647724","#data":{"type":"news","title":"New Master of Science in Urban Analytics to Launch in the Fall  ","body":[{"value":"\u003Cp\u003EGeorgia Tech is launching a new interdisciplinary degree this fall: the Master of Science in Urban Analytics (MSUA). The \u003Ca href=\u0022https:\/\/planning.gatech.edu\/\u0022\u003ESchool of City and Regional Planning\u003C\/a\u003E will administer the degree in partnership with the \u003Ca href=\u0022https:\/\/isye.gatech.edu\/\u0022\u003EH. Milton Stewart School of Industrial and Systems Engineering\u003C\/a\u003E (ISyE), the \u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E (CSE), and the \u003Ca href=\u0022https:\/\/ic.gatech.edu\/\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E (IC).\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUrban analytics is an emerging field that incorporates smart cities, urban informatics, and urban science. The goal of urban analytics is to leverage data science in addressing major issues cities continue to face, including air, water, and land pollution; carbon emissions; traffic congestion; inadequate housing options; and disparities in access to services. The skills and knowledge necessary to tackle such challenges require an integrated multidisciplinary approach, which this degree is designed to provide.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIt is aimed at students who are interested in solving urban problems through the acquisition, integration, and analysis of various forms of data. Undergraduate preparation for this degree can include a range of fields such as engineering, planning, computing, and various social science disciplines.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech is the only university in the University System of Georgia offering an urban analytics degree. Programs of this kind are quickly gaining national relevancy \u0026mdash; similar graduate programs exist at Carnegie Mellon University, New York University, Northeastern University, and the University of California at Berkeley.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/planning.gatech.edu\/people\/subhro-guhathakurta\u0022\u003ESubhro Guhathakurta\u003C\/a\u003E, chair of the School of City and Regional Planning and the director of the \u003Ca href=\u0022https:\/\/cspav.gatech.edu\/\u0022\u003ECenter for Spatial Planning Analytics and Visualization\u003C\/a\u003E, noted that Tech\u0026rsquo;s urban analytics program stands out from the others given its strategic partnership with top-ranked programs in engineering and computing to offer this multidisciplinary degree.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The objective is to harness Georgia Tech\u0026rsquo;s recognized strengths and expertise in data analytics to focus on the critical problems facing urban regions,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003E\u003Ca href=\u0022https:\/\/design.gatech.edu\/feature\/gulsah-akar-chair-city-regional-planning\u0022\u003ERead also:\u0026nbsp;Gulsah Akar Appointed New School of City and Regional Planning Chair\u003C\/a\u003E\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAdditionally, there are many aspects of industrial engineering that can be applied to urban analytics, \u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/users\/pascal-van-hentenryck\u0022\u003EPascal Van Hentenryck\u003C\/a\u003E, associate chair for Innovation and Entrepreneurship and A. Russell Chandler III Chair and Professor in ISyE, said.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Many supply chain logistics concepts and solutions can be applied to address the inefficiencies in public transportation, accessibility, and the relationship between mobility and the built environment. This program is pioneering in that it links many viewpoints holistically, from the concepts to the mathematical and computational tools, and their applications to problems faced by our growing cities,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech\u0026rsquo;s ISyE program is ranked as the No. 1 graduate program in in the industrial, manufacturing, and systems specialty and has held the top rank for\u0026nbsp;31 years.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAdvances in computation are also essential to ensure the sustainable development of modern cities and guarantee that they operate effectively, \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~hpark\/\u0022\u003EHaesun Park\u003C\/a\u003E, Regents\u0026#39; Professor and chair of CSE, said.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Understanding and planning for the interdependent and interactive quality of city infrastructures require computational models and tools of increasing complexity and scale. This is where data, computing, and networks are ubiquitous, with computation playing unprecedented new roles in the management and operation of cities,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBesides new introductory courses, several existing classes in the degree-participating schools are available as part of a well-rounded curriculum. These courses are carefully selected to meet four core competencies: urban systems, spatial analysis, computational statistics including machine learning, and modeling and visualization.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe curriculum will place special emphasis on social end-values such as sustainability, justice, and resilience, and on individual data rights including: permission for collection; privacy through aggregation; and transparency through open data.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;One of the most exciting aspects of this new degree is the diversity of academic programs working together on this topic of urban analytics. It will unite faculty and students from across campus to work on solving many important challenges,\u0026quot; \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/john-stasko\u0022\u003EJohn Stasko\u003C\/a\u003E, Regents\u0026#39; Professor and interim chair of\u0026nbsp;IC, said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESpecialization within the degree is encouraged. The one-year program spans fall and spring semesters, with a summer workshop.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EApplications for the Fall 2021 cohort open this summer. For more information, \u003Ca href=\u0022https:\/\/planning.gatech.edu\/master-science-urban-analytics\/apply\u0022\u003Eclick here\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EUrban planning, computing, and industrial and systems engineering combine to fix big city problems\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Urban planning, computing, and industrial and systems engineering combine to fix big city problems"}],"uid":"27469","created_gmt":"2021-05-25 13:18:33","changed_gmt":"2021-05-25 16:44:16","author":"Kristen Bailey","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-05-25T00:00:00-04:00","iso_date":"2021-05-25T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"647725":{"id":"647725","type":"image","title":"Atlanta Skyline","body":null,"created":"1621948808","gmt_created":"2021-05-25 13:20:08","changed":"1621948808","gmt_changed":"2021-05-25 13:20:08","alt":"Atlanta Skyline","file":{"fid":"245882","name":"feature-msua-new-edits-2.jpg","image_path":"\/sites\/default\/files\/images\/feature-msua-new-edits-2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/feature-msua-new-edits-2.jpg","mime":"image\/jpeg","size":920437,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/feature-msua-new-edits-2.jpg?itok=0AaQHuVz"}}},"media_ids":["647725"],"groups":[{"id":"1221","name":"College of Design"},{"id":"1237","name":"College of Engineering"},{"id":"1214","name":"News Room"},{"id":"1224","name":"School of City \u0026 Regional Planning"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"129","name":"Institute and Campus"}],"keywords":[],"core_research_areas":[],"news_room_topics":[{"id":"71871","name":"Campus and Community"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:ann.hoevel@design.gatech.edu\u0022\u003EAnn Hoevel\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECollege of Design\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"647283":{"#nid":"647283","#data":{"type":"external_news","title":"The Machine Learning Center Awards Inaugural ML@GT Fellows","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2021-05-10 14:02:50","changed_gmt":"2021-05-10 14:03:14","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"security dynamics","field_article_url":"","publication_url":"https:\/\/bit.ly\/3faFV6y","dateline":{"date":"2021-05-10T00:00:00-04:00","iso_date":"2021-05-10T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"},{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"647272":{"#nid":"647272","#data":{"type":"news","title":"CRNCH Announces New Fellow","body":[{"value":"\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/samanthanoorgt\u0022\u003E\u003Cstrong\u003ESamantha Lubaba Noor\u003C\/strong\u003E\u003C\/a\u003E has been named a fellow of the \u003Ca href=\u0022http:\/\/www.crnch.gatech.edu\/\u0022\u003ECenter for Research into Novel Computing Hierarchies\u003C\/a\u003E (CRNCH). Noor is a third-year Ph.D. student in the School of Electrical and Computer Engineering.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;My research highly aligns with the scope of the fellowship on novel computing paradigms,\u0026rdquo; Noor said. \u0026ldquo;It will also help me to reach a broader audience by presenting my work at the\u0026nbsp;CRNCH\u0026nbsp;Summit.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDuring the fellowship period, she will work on plasmonic computing system. Surface plasmon is an electromagnetic wave that merges the miniaturization potential of electron and high-speed attributes of photon. Researchers can use surface plasmon to design logic devices and integrated circuits that\u0026nbsp;offer high-speed and high throughput computation with low footprint requirement. Plasmonic computing systems can be used in signal and data-processing applications in high-end server systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENoor\u0026rsquo;s project\u0026nbsp;focuses on the\u0026nbsp;design and optimization of the building blocks of a plasmonic computing network. As part of the project, she will design the couplers between plasmonic metal-insulator-metal (MIM) and metal-semiconductor-metal waveguides.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShe will also explore the material choice for plasmonic MIM waveguide-based devices to determine best material factoring in energy efficiency,\u0026nbsp;footprint, and speed.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECRNCH \u003Ca href=\u0022https:\/\/www.scs.gatech.edu\/news\/642208\/crnch-creates-fellowship-program\u0022\u003Elaunched\u003C\/a\u003E the fellowship program in fall of 2020 to support innovative student research in post-Moore computing topics. The research center explores new computing paradigms after the end of Moore\u0026rsquo;s law.\u0026nbsp; Partnering with academics and industry, CRNCH researchers full-stack solutions on everything from quantum computing to approximate computation.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Samantha Lubaba Noor has been named a fellow of the Center for Research into Novel Computing Hierarchies (CRNCH)."}],"uid":"34541","created_gmt":"2021-05-07 20:41:10","changed_gmt":"2021-05-07 20:41:10","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-05-07T00:00:00-04:00","iso_date":"2021-05-07T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"647270":{"id":"647270","type":"image","title":"Samantha Noor","body":null,"created":"1620419317","gmt_created":"2021-05-07 20:28:37","changed":"1620419317","gmt_changed":"2021-05-07 20:28:37","alt":"Samantha Noor","file":{"fid":"245759","name":"pic_CRNCH.jpg","image_path":"\/sites\/default\/files\/images\/pic_CRNCH.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/pic_CRNCH.jpg","mime":"image\/jpeg","size":83557,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/pic_CRNCH.jpg?itok=U9GIjvmh"}}},"media_ids":["647270"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576491","name":"CRNCH"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"647263":{"#nid":"647263","#data":{"type":"news","title":"CSE Faculty Member Recognized for Contributions to Computational Science ","body":[{"value":"\u003Cp\u003ESchool of Computational Science and Engineering\u0026nbsp;(CSE)\u0026nbsp;Associate Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~echow\/\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003EEdmond Chow\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;has been named\u0026nbsp;as one of 28 new\u0026nbsp;\u003Ca href=\u0022https:\/\/sinews.siam.org\/Details-Page\/siam-announces-class-of-2021-fellows\u0022 target=\u0022_blank\u0022\u003ESociety for Industrial and Applied Mathematics (SIAM) Fellow\u003C\/a\u003Es for 2021.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESIAM represents an international\u0026nbsp;community of over 14,000 members\u0026nbsp;and is considered the leading\u0026nbsp;professional\u0026nbsp;organization for\u0026nbsp;computational and applied\u0026nbsp;mathematicians in industry and academia.\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis\u0026nbsp;SIAM recognition\u0026nbsp;highlights\u0026nbsp;Chow\u0026rsquo;s\u0026nbsp;contributions\u0026nbsp;to\u0026nbsp;the field of\u0026nbsp;computational science and engineering\u0026nbsp;within the areas\u0026nbsp;of numerical linear algebra and high-performance computing\u0026nbsp;(HPC).\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESpecifically, Chow\u0026rsquo;s research aims to develop numerical methods that are specialized for\u0026nbsp;HPC\u0026nbsp;computers\u0026nbsp;used to\u0026nbsp;solve large-scale scientific computing problems\u0026nbsp;such as\u0026nbsp;those found in\u0026nbsp;quantum chemistry.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;My students and I search for new, efficient ways to computationally solve the mathematical models that we use to model the world around us,\u0026rdquo; he said.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We also implement the methods in open software so that they can be easily used by others. In recent years, we\u0026#39;ve been working particularly with quantum chemists, who have a rich source of numerical and other computational problems.\u0026rdquo;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile he remains active in external roles, such as serving\u0026nbsp;as deputy chair\u0026nbsp;on the\u0026nbsp;\u003Ca href=\u0022https:\/\/awards.acm.org\/bell\/committee\u0022 target=\u0022_blank\u0022\u003EACM Gordon Bell Prize Committee\u003C\/a\u003E\u0026nbsp;and\u0026nbsp;as\u0026nbsp;associate editor for\u0026nbsp;\u003Cem\u003E\u003Ca href=\u0022http:\/\/toms.acm.org\/\u0022 target=\u0022_blank\u0022\u003EACM Transactions on Mathematical Software\u003C\/a\u003E,\u0026nbsp;\u003C\/em\u003EChow says one of his goals is to\u0026nbsp;build\u0026nbsp;a stronger community around scientific computing, particularly at Georgia Tech.\u0026nbsp;He is currently\u0026nbsp;facilitating this goal by serving as co-chair of the 2022 SIAM Annual Meeting and by organizing the\u0026nbsp;Georgia Scientific Computing Symposium in February 2022.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Georgia Scientific Computing Symposium\u0026nbsp;offers a\u0026nbsp;forum for students and faculty from across\u0026nbsp;the state of\u0026nbsp;Georgia to\u0026nbsp;gather\u0026nbsp;and\u0026nbsp;share recent advances in all aspects of scientific computing.\u0026nbsp;Notably, the one-day symposium\u0026nbsp;will be hosted by CSE at Georgia Tech in 2022.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It has been very heart-warming to receive so many congratulatory messages from literally around the world in the past few days. I\u0026#39;m lucky to be working in a very supportive community,\u0026rdquo; he said.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Associate Professor Edmond Chow is honored as a SIAM Fellow."}],"uid":"34540","created_gmt":"2021-05-07 17:44:35","changed_gmt":"2021-05-07 17:56:23","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-05-07T00:00:00-04:00","iso_date":"2021-05-07T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"647260":{"id":"647260","type":"image","title":"Edmond Chow","body":null,"created":"1620399280","gmt_created":"2021-05-07 14:54:40","changed":"1620399280","gmt_changed":"2021-05-07 14:54:40","alt":"Edmond Chow sitting at a desk with hands crossed and computer behind him","file":{"fid":"245750","name":"edmond_chow.jpg","image_path":"\/sites\/default\/files\/images\/edmond_chow.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/edmond_chow.jpg","mime":"image\/jpeg","size":592013,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/edmond_chow.jpg?itok=gaTioQUc"}}},"media_ids":["647260"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"647179":{"#nid":"647179","#data":{"type":"external_news","title":"Machine Learning to Present Seven Papers at Prestigious Deep Learning Conference","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2021-05-05 13:06:08","changed_gmt":"2021-05-05 13:06:08","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/bit.ly\/3b63dtn","dateline":{"date":"2021-05-05T00:00:00-04:00","iso_date":"2021-05-05T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"647104":{"#nid":"647104","#data":{"type":"news","title":"Study Analyzing Anti-Asian Tweets Shows Online Hate Speech is Contagious","body":[{"value":"\u003Cp\u003EAs the United States entered lockdown in March of 2020, an identifiable uptick in anti-Asian hate crimes, both physical and online, spurred the longest study to date for anti-Asian hate and counter hate on social media.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELed by School of Computational Science and Engineering Assistant Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~skumar498\/\u0022\u003E\u003Cstrong\u003ESrijan Kumar\u003C\/strong\u003E\u003C\/a\u003E, the\u0026nbsp;\u003Ca href=\u0022http:\/\/claws.cc.gatech.edu\/covid\u0022\u003Eteam of Georgia Tech researchers\u003C\/a\u003E\u0026nbsp;expanded on a study started last year analyzing 30 million tweets. To date, the team has successfully analyzed over 200 million tweets, identifying nearly 1 million hateful users targeting Asian groups.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Because social media and web platforms have become such an integral part of our life and shape our discussions, beliefs, and political opinions, we wanted to look at how racism was happening not just in the real world, but also online,\u0026rdquo;\u0026nbsp;said Kumar, the primary investigator who began the study last year.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;And this research gave us a means to specifically look at this phenomenon of anti-Asian hate through the lens of social media,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E[Related News:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/635858\/predicting-hate-crimes-targeting-asian-americans-amid-covid-19-outbreak\u0022\u003EPredicting Hate Crimes Targeting Asian Americans Amid Covid-19 Outbreak\u003C\/a\u003E]\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe tweets were analyzed using natural language processing classifiers which looked at the content of the tweet based on key terms and hashtags. Specifically, three classifiers were able to sort tweets according to whether they were hateful, supportive, or neutral about Asians or Asian Americans.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;One of the\u0026nbsp;\u003Ca href=\u0022http:\/\/claws.cc.gatech.edu\/covid\/#key-findings\u0022\u003Emost surprising insights that we found\u003C\/a\u003E, and the one that is most impactful as well, is that hatefulness is contagious,\u0026rdquo; said Kumar.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to the team\u0026rsquo;s findings, people who followed others who tweeted hateful messages were more likely to tweet anti-Asian sentiments. Comparatively, the data showed that while not as quickly to spread, messages that were supportive to Asian communities had a 10 percent likelihood of positively impacting their social neighbors and followers.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKumar said, \u0026ldquo;When people tweet counter speech or pro-Asian sentiments, that reduced the likelihood of their neighbors being hateful. So, these findings suggest that in order to inoculate people against hate, spreading positive messages will create a better environment for not only for your neighbors but also for the rest of your social ecosystem.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to the study, the largest spike of positive messages supporting the Asian community were found directly after the Atlanta Asian spa shootings while the largest spike of hate speech targeting Asians were seen after the hashtag #Chinaviurs began trending. To this day, the peaks have stabilized to around 5,000 hateful tweets per week with roughly 10 percent of tweets being spread by artificial users or bots.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;One of the most important reasons why we are doing this is so that it can be used to make society and the world a safer place,\u0026rdquo; said Kumar.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo do this, the research team is looking to collaborate with agencies and law enforcement who are interested in monitoring and providing safe spaces for minorities.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The web and social media are major platforms where ideas emerge and form so it\u0026rsquo;s very important for safety focuses, both in the online and real world. And we are interested in seeing how this digital work can impact our physical world,\u0026rdquo; said Kumar.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Research analyzing online hate speech targeting Asians shows hate speech is five times more likely to spread."}],"uid":"34540","created_gmt":"2021-05-03 14:09:03","changed_gmt":"2021-05-03 14:12:04","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-05-03T00:00:00-04:00","iso_date":"2021-05-03T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"647106":{"id":"647106","type":"image","title":"No hate","body":null,"created":"1620051092","gmt_created":"2021-05-03 14:11:32","changed":"1620051092","gmt_changed":"2021-05-03 14:11:32","alt":"hate crossed out on a picket sign","file":{"fid":"245674","name":"no-hate.jpg","image_path":"\/sites\/default\/files\/images\/no-hate.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/no-hate.jpg","mime":"image\/jpeg","size":245444,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/no-hate.jpg?itok=zQ0KKav1"}}},"media_ids":["647106"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"646832":{"#nid":"646832","#data":{"type":"news","title":"This New Tool Can Track the Environmental Cost of Your Machine Learning Model","body":[{"value":"\u003Cp\u003EEnergy consumption is a major factor to plan for when implementing a long-term project or service that uses large-scale machine learning algorithms.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENow, a team of researchers from Georgia Tech have created an interactive tool called\u0026nbsp;\u003Ca href=\u0022https:\/\/programs.sigchi.org\/chi\/2021\/program\/content\/56737\u0022\u003EEnergyVis\u003C\/a\u003E\u0026nbsp;that allows\u0026nbsp;users to compare energy consumption across locations and against other models.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEnergyVis helps users answer three critical questions:\u003C\/p\u003E\r\n\r\n\u003Col\u003E\r\n\t\u003Cli\u003EWhat is the environmental cost to train or run this algorithm?\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003EHow does this algorithm compare to others in terms of cost?\u003C\/li\u003E\r\n\t\u003Cli\u003ECan a team in a different location run this algorithm for the same cost?\u003C\/li\u003E\r\n\u003C\/ol\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Sometimes, training machine learning models from end-to-end takes the same amount of energy as a transatlantic flight. Is every organization using machine learning able to budget for such an expense? What if the grid in which a business runs is running on coal versus green energy?\u0026rdquo;\u0026nbsp;said\u0026nbsp;\u003Cstrong\u003EOmar Shaikh\u003C\/strong\u003E, a computer science undergraduate student.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShaikh is helping lead the research for this interactive dashboard along with M.S. student\u0026nbsp;\u003Cstrong\u003EJon Saad-Falcon\u003C\/strong\u003E,\u0026nbsp;Ph.D students\u0026nbsp;\u003Cstrong\u003EAustin P. Wright, Nilaksh Das, Scott Freitas,\u0026nbsp;\u003C\/strong\u003Eand faculty advisors School of Public Policy Assistant Professor\u003Cstrong\u003E\u0026nbsp;Omar Asensio\u0026nbsp;\u003C\/strong\u003Eand School of Computational Science and Engineering (CSE) Associate Professor\u0026nbsp;\u003Cstrong\u003EPolo Chau\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Shaikh, prior research that aims to track energy consumption is already available. However, EnergyVis distinguishes itself by offering a more visually appealing dashboard and easier user experience to enable energy tracking and energy usage comparisons across models and across scenarios.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;A common counter argument for why we should track model energy consumption is that models don\u0026rsquo;t use as much energy as many other things comparatively \u0026ndash; so, what\u0026rsquo;s the point?\u0026rdquo; he said. \u0026ldquo;The point of EnergyVis is that it not only tracks their energy usage, but it also keeps people accountable for how much energy they are using.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnother utility of the new dashboard is that it allows for better reproducibility for researchers working in different locations. With the ability to budget and better determine energy usage, teams are better able to plan where a deployment may or may not be cost effective or environmentally friendly.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;If you\u0026rsquo;re training your model in a state that largely uses coal-burning energy sources, your CO2 output for the electricity your model is using is going to be much higher than if you were to train or use your model in an area using green energy,\u0026rdquo; said Shaikh.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile this new visualization tool is in its initial phases, Shaikh says that the research team would like to consider plans to expand and generalize EnergyVis for any computing-intensive task.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe initial findings of this work will be presented at the\u0026nbsp;\u003Ca href=\u0022https:\/\/programs.sigchi.org\/chi\/2021\/program\/content\/56737\u0022\u003E2021 ACM CHI Conference on Human Factors in Computing\u003C\/a\u003E\u0026nbsp;Systems on May 13 and 14.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech researchers present EnergyVis - an interactive tool that aims to tackle accountability and energy consumption."}],"uid":"34540","created_gmt":"2021-04-23 18:50:36","changed_gmt":"2021-04-23 18:50:36","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-04-23T00:00:00-04:00","iso_date":"2021-04-23T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"646830":{"id":"646830","type":"image","title":"EnergyVis","body":null,"created":"1619203613","gmt_created":"2021-04-23 18:46:53","changed":"1619203613","gmt_changed":"2021-04-23 18:46:53","alt":"A dashboard showing a visualization of energy consumption by state in the U.S.","file":{"fid":"245532","name":"localhost_3000_ (1)[70].jpg","image_path":"\/sites\/default\/files\/images\/localhost_3000_%20%281%29%5B70%5D.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/localhost_3000_%20%281%29%5B70%5D.jpg","mime":"image\/jpeg","size":1283107,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/localhost_3000_%20%281%29%5B70%5D.jpg?itok=_3BQEJk7"}}},"media_ids":["646830"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"646748":{"#nid":"646748","#data":{"type":"news","title":"CSE Student Awarded Fellowship to Enhance AI in Fintech Transparency","body":[{"value":"\u003Cp\u003E\u003Ca href=\u0022https:\/\/haekyu.com\/\u0022\u003E\u003Cstrong\u003EHaekyu Park\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;is a\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE) Ph.D. student aiming to create new methods that break down the black box of artificial intelligence (AI) for users.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENow, her human-centered approach to increase machine learning interpretability is set to be applied to the financial tech sector with a newly awarded\u0026nbsp;2021\u0026nbsp;\u003Ca href=\u0022https:\/\/www.jpmorgan.com\/insights\/technology\/artificial-intelligence\/awards\u0022\u003EJPMorgan Chase AI Research Ph.D. Fellowship\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Park, \u0026ldquo;Society faces fundamental barriers to learning, understanding, and ultimately trusting AI technologies.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Not only does a lack of transparency make people hesitant to trust and deploy them, when AI models do not perform satisfactorily or are harmed by malicious attacks, people lack actionable guidance for understanding their vulnerabilities and how to fix them,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis is where Park\u0026rsquo;s research in creating interactive visualization tools for machine learning models can help address some of the significant challenges seen across the fintech industry.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESpecifically, the fellowship program\u0026nbsp;aims to apply innovative AI and data science tools to support financial businesses. This support ranges from securing AI for privacy, cryptography in financial services, safe human-AI interaction, and more.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThere are many use cases for how this research could be applied by a JPMorgan Chase customer. This includes providing explanations as to how an AI service makes a decision. With this, stakeholders can better understand, for example, if an algorithm is adequately capturing their needs or assessing their risk tolerance.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In the risk management case, I could help a customer understand which features are considered most for the AI decision. For example, there could be many factors that decide that risk, but we can detail which features are higher priority than others and help a customer visualize their data by understanding how key factors are correlated or weighted,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPark continued, \u0026ldquo;Through my research in information visualization, machine learning, and data analytics over the past few years, I have realized that the key to promote trust in AI and protect the models is to bring humans into the loop.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESince beginning her graduate research three years ago, Park has worked with advisor and CSE Associate Professor\u0026nbsp;\u003Cstrong\u003EPolo Chau\u003C\/strong\u003E\u0026nbsp;and Interactive Computing Assistant Professor\u0026nbsp;\u003Cstrong\u003EDiyi Yang\u0026nbsp;\u003C\/strong\u003Eto create similar methods with that specific goal in mind.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECurrently, the team is designing a visual user interface where users, such as AI experts, can quickly view and edit an AI model\u0026rsquo;s weakened area.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Some models can be attacked,\u0026rdquo; explained Park. \u0026ldquo;So, what we want to do is help users easily identify and fix the model \u0026ndash; which usually takes a considerable amount of time.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile the audience of Park\u0026rsquo;s fellowship research may not include AI experts, the fundamental need to enhance AI model\u0026rsquo;s interpretability in a timely manner is the same.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Ph.D. Student Haekyu Park won the 2021 JPMorgan Chase AI Research Ph.D. Fellowship."}],"uid":"34540","created_gmt":"2021-04-22 13:36:50","changed_gmt":"2021-04-22 13:38:09","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-04-22T00:00:00-04:00","iso_date":"2021-04-22T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"646749":{"id":"646749","type":"image","title":"Haekyu Park","body":null,"created":"1619098649","gmt_created":"2021-04-22 13:37:29","changed":"1619098649","gmt_changed":"2021-04-22 13:37:29","alt":"Selfie of Haekyu Park","file":{"fid":"245499","name":"haekyu.jpg","image_path":"\/sites\/default\/files\/images\/haekyu.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/haekyu.jpg","mime":"image\/jpeg","size":1854478,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/haekyu.jpg?itok=HAujvRrO"}}},"media_ids":["646749"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"368","name":"Fellowship"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"646437":{"#nid":"646437","#data":{"type":"external_news","title":"Nine Machine Learning Faculty Members Win Teaching Awards","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2021-04-13 18:42:43","changed_gmt":"2021-04-13 18:42:43","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/bit.ly\/3mINXqM","dateline":{"date":"2021-04-13T00:00:00-04:00","iso_date":"2021-04-13T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"646017":{"#nid":"646017","#data":{"type":"news","title":"Two CSE Faculty Recognized as ACM Fellows","body":[{"value":"\u003Cp\u003EThe Association for Computing Machinery (ACM) named\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE) Chair\u0026nbsp;and Regent\u0026rsquo;s Professor\u0026nbsp;\u003Cstrong\u003EHaesun Park\u003C\/strong\u003E\u0026nbsp;and CSE Professor\u0026nbsp;and\u0026nbsp;Executive Director of the\u0026nbsp;\u003Ca href=\u0022https:\/\/ideas.gatech.edu\/\u0022\u003EInstitute for Data Engineering and Science\u003C\/a\u003E\u0026nbsp;\u003Cstrong\u003ESrinivas Aluru\u003C\/strong\u003E\u0026nbsp;as two of 95 researchers accepted to its\u0026nbsp;\u003Ca href=\u0022https:\/\/www.acm.org\/media-center\/2021\/january\/fellows-2020\u0022\u003Elatest class of Fellows\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EACM is the preeminent and world\u0026#39;s largest computing society and the title of ACM Fellow is one of life-long prestige.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESpecifically, Park was awarded this recognition on behalf of her contributions to numerical algorithms, data analytics, and leadership in computational science and engineering. The latter of which includes her recent recognition as CSE Chair, a title that realizes over a decade of advocating for the field of CSE to be recognized as a stand-alone designation.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/womenshistorymonth.cc.gatech.edu\/celebrating-faculty-and-staff\/\u0022\u003E\u003Cstrong\u003E[Related News: Leading in the Lab and Beyond]\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/cse.gatech.edu\/news\/637602\/park-named-new-school-computational-science-and-engineering-chair\u0022\u003E[Related News: Park Named as New School of Computational Science and Engineering Chair]\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Park, \u0026ldquo;I am honored and humbled to become an\u0026nbsp;ACM\u0026nbsp;fellow.\u0026nbsp;I thank all my students and collaborators who made it possible.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAluru received this recognition for research contributions to parallel methods in computational biology and leadership in data science. From sponsoring the annual ACM SIGBio Diversity and Inclusiveness Panel to leading initiatives to increase equity for underrepresented groups, Aluru\u0026rsquo;s years of work have made major contributions to enhancing the field of data science for all.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I remember joining ACM as a student member in 1992, having little idea how important it is for professional growth and service,\u0026rdquo; said Aluru.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Since 2015, I had the opportunity to lead computational biology activities of ACM as Chair of its Special Interest Group in Bioinformatics, Computational Biology, and Biomedical Informatics (SIGBio). It is delightful to have ACM formally recognize my research contributions in this area and leadership in data science,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhat makes this all the more impressive is that this recognition marks the third major fellow title for both Park and Aluru who are also IEEE and Society for Industrial and Implied Mathematics Fellows.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/cse.gatech.edu\/news\/634716\/two-cse-faculty-welcomed-2020-class-siam-fellow\u0022\u003E[Related News: Two CSE Faculty Welcomed to the 2020 Class of SIAM Fellow]\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Furthermore, Srinivas is also a fellow of the American Association for Advancement of Science (AAAS) \u0026ndash; an extremely impressive record! His record also represents the power of CSE as a foundation for many disciplines,\u0026rdquo; said Park.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Chair and Regents\u0027 Professor Haesun Park and CSE Professor Srinivas Aluru have been named as ACM Fellows."}],"uid":"34540","created_gmt":"2021-04-01 18:42:31","changed_gmt":"2021-04-01 18:53:33","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-04-01T00:00:00-04:00","iso_date":"2021-04-01T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"646018":{"id":"646018","type":"image","title":"Haesun Park and Srinivas Aluru","body":null,"created":"1617303151","gmt_created":"2021-04-01 18:52:31","changed":"1617303151","gmt_changed":"2021-04-01 18:52:31","alt":"Headshot of Haesun and Srinivas","file":{"fid":"245258","name":"HaesunandSrinivas.jpeg","image_path":"\/sites\/default\/files\/images\/HaesunandSrinivas.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/HaesunandSrinivas.jpeg","mime":"image\/jpeg","size":88821,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/HaesunandSrinivas.jpeg?itok=OrMRw31U"}}},"media_ids":["646018"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"3047","name":"ACM"},{"id":"4447","name":"fellows"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"646000":{"#nid":"646000","#data":{"type":"external_news","title":"College Rolls Out Virtual Red Carpet for Annual Awards","body":[{"value":"\u003Cp\u003EThe College is rolling out the virtual red carpet in April for the \u003Ca href=\u0022https:\/\/bit.ly\/2021GTComputingAwards\u0022\u003Ewinners of the 30th Annual College of Computing Awards\u003C\/a\u003E. Each year, the awards spotlight the dedication and accomplishments of the GT Computing community. We\u0026#39;re celebrating this month by announcing a different set of winners \u0026ndash; graduate students, undergraduate students, faculty, and staff \u0026ndash; each Wednesday.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"32045","created_gmt":"2021-04-01 15:38:04","changed_gmt":"2021-04-01 16:42:37","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","publication":"wireless health monitoring","field_article_url":"","publication_url":"https:\/\/bit.ly\/2021GTComputingAwards","dateline":{"date":"2021-04-01T00:00:00-04:00","iso_date":"2021-04-01T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"646001":{"id":"646001","type":"image","title":"30th annual college of computing awards","body":null,"created":"1617291539","gmt_created":"2021-04-01 15:38:59","changed":"1617291539","gmt_changed":"2021-04-01 15:38:59","alt":"30th annual college of computing at georgia tech awards virtual celebration","file":{"fid":"245251","name":"2021 GTComputingAwardshero.jpg","image_path":"\/sites\/default\/files\/images\/2021%20GTComputingAwardshero.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/2021%20GTComputingAwardshero.jpg","mime":"image\/jpeg","size":367090,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/2021%20GTComputingAwardshero.jpg?itok=LdmPHb-u"}}},"media_ids":["646001"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"576491","name":"CRNCH"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"430601","name":"Institute for Information Security and Privacy"},{"id":"576481","name":"ML@GT"},{"id":"66442","name":"MS HCI"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"187451","name":"30th annual GT Computing Awards"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"645083":{"#nid":"645083","#data":{"type":"news","title":"Leading in the Lab and Beyond","body":[{"value":"\u003Cp\u003ERegents\u0026#39; Professor \u003Cstrong\u003EHaesun Park \u003C\/strong\u003Eis no stranger to being a pioneer throughout her career. Now, she is navigating a new role as she\u0026nbsp;serves\u0026nbsp;as\u0026nbsp;the first female chair of the School of Computational Science and Engineering (CSE).\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERead more at the link below to hear\u0026nbsp;about her vision for the unit that is paving the way for this critically-needed research field.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/womenshistorymonth.cc.gatech.edu\/celebrating-faculty-and-staff\/\u0022\u003Ehttps:\/\/womenshistorymonth.cc.gatech.edu\/celebrating-faculty-and-staff\/\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"First Female Chair Shares Her Vision of the Future of Computational Science and Engineering"}],"uid":"34540","created_gmt":"2021-03-08 15:53:02","changed_gmt":"2021-03-09 19:28:25","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-03-08T00:00:00-05:00","iso_date":"2021-03-08T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"637599":{"id":"637599","type":"image","title":"Haesun Park","body":null,"created":"1596807005","gmt_created":"2020-08-07 13:30:05","changed":"1596807005","gmt_changed":"2020-08-07 13:30:05","alt":"A woman wearing glasses with short dark brown hair and a black shirt stands in front of a data visualization on a screen","file":{"fid":"242524","name":"haesun_park.jpg","image_path":"\/sites\/default\/files\/images\/haesun_park.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/haesun_park.jpg","mime":"image\/jpeg","size":618369,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/haesun_park.jpg?itok=F0bd_zX-"}}},"media_ids":["637599"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"10475","name":"Haesun Park"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"644838":{"#nid":"644838","#data":{"type":"news","title":"New Chapter Aims to Increase Equity in High Performance Computing","body":[{"value":"\u003Cp\u003EGeorgia Tech\u0026rsquo;s high-performance computing (HPC) mission is expanding with its latest initiative: The launch of its very own\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/whpcgt\/\u0022\u003EWomen in High Performance Computing\u003C\/a\u003E\u0026nbsp;(WHPC) chapter.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFrom observing binary black holes to\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/641385\/gordon-bell-finalist-uses-supercomputing-connect-dots\u0022\u003Esynthesizing all of the work in the largest publication journal\u003C\/a\u003E, HPC processes the world\u0026rsquo;s data and attempts to answer science\u0026rsquo;s largest problems. Despite this field\u0026rsquo;s rapid growth and acute use in problem solving, the gap in representation for those in the community remains apparent. This is why WHPC\u0026rsquo;s international mission to enhance equity, inclusion, and access for women and minorities to the field of HPC is so critical.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECurrently, Georgia Tech awards more engineering degrees to women than any other institution in the country. As HPC represents the intersection of engineering and computing, carrying forward the WHPC mission to promote, build, and leverage a diverse and inclusive HPC community is a natural next step for Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis next step is also complimented by several high-profile initiatives launched over the past few years including the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/629130\/hive-supercomputer-makes-its-debut\u0022\u003Eunveiling of a $5.3 million HPC system known as the Hive supercomputer\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Our geography and history provide a unique context for engaging in diversity, equity, and inclusion efforts given the racial and ethnic diversity of our broader community around Georgia Tech,\u0026rdquo; said\u0026nbsp;\u003Cstrong\u003ELorna Rivera,\u003C\/strong\u003E\u0026nbsp;research scientist and founding WHPC member.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Georgia Tech chapter\u0026rsquo;s primary goal is to provide a platform for all HPC researchers \u0026ndash; regardless of gender, area of study, and level of expertise. The chapter\u0026rsquo;s main drivers for this goal include:\u003C\/p\u003E\r\n\r\n\u003Col\u003E\r\n\t\u003Cli\u003EHelping students toward HPC professional career paths\u003C\/li\u003E\r\n\t\u003Cli\u003EProviding classroom HPC resources for teachers\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003EOffering HPC consulting to teachers\u003C\/li\u003E\r\n\t\u003Cli\u003EInvolving industry partners on real-world projects\u003C\/li\u003E\r\n\u003C\/ol\u003E\r\n\r\n\u003Cp\u003EThe chapter aims to achieve these goals by engaging researchers from across academic institutions including Georgia Tech, Atlanta\u0026rsquo;s Historically Black Colleges and Universities, minority serving institutions, and others interested in learning more, or providing support for HPC research.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We believe that by increasing exposure as well as access to resources for teaching through student-run seminars, workshops, online classes offered by GT\u0026rsquo;s Partnership for an Advanced Computing Environment (PACE), and mentorship efforts, we can build a more diverse, equitable, and inclusive supercomputing community,\u0026rdquo; said\u0026nbsp;\u003Cstrong\u003ENeil Bright\u003C\/strong\u003E, PACE Associate Director of Research Cyberinfrastructure.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe WHPC will host a public event to celebrate its launch on March 26 from 2-3 p.m. EST.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe event will feature some of\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/whpcgt\/62-2\/\u0022\u003EHPC\u0026rsquo;s heavy hitters from across the country\u003C\/a\u003E. This list includes high-profile speakers\u0026nbsp;experienced in navigating the world of HPC, passionate about building equity in this arena, and enthusiastic about sharing their professional journey.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/bpxvjcvk\u0022\u003ERegister for the event here!\u003C\/a\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech launches a Women in High Performance Computing chapter."}],"uid":"34540","created_gmt":"2021-03-01 20:18:13","changed_gmt":"2021-03-01 20:21:46","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-03-01T00:00:00-05:00","iso_date":"2021-03-01T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"644827":{"id":"644827","type":"image","title":"WHPC Logo","body":null,"created":"1614627076","gmt_created":"2021-03-01 19:31:16","changed":"1614627076","gmt_changed":"2021-03-01 19:31:16","alt":"WHPC logo","file":{"fid":"244830","name":"WHPC_chapter.png","image_path":"\/sites\/default\/files\/images\/WHPC_chapter.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/WHPC_chapter.png","mime":"image\/png","size":32397,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/WHPC_chapter.png?itok=6ka1k7J-"}}},"media_ids":["644827"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"183253","name":"WHPC"},{"id":"4305","name":"cse"},{"id":"109","name":"Georgia Tech"},{"id":"129151","name":"chapter"},{"id":"973","name":"women"},{"id":"702","name":"hpc"},{"id":"3427","name":"High performance computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"644496":{"#nid":"644496","#data":{"type":"external_news","title":"Creating the Next Generation","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2021-02-19 16:06:39","changed_gmt":"2021-02-19 16:06:39","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/bit.ly\/GTComputingBlackHistoryMonth","dateline":{"date":"2021-02-19T00:00:00-05:00","iso_date":"2021-02-19T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"628460":{"#nid":"628460","#data":{"type":"news","title":"IDEaS Co-hosts Distinguished Visitor","body":[{"value":"\u003Cp\u003EPeter S. Dodds will visit Georgia Tech for two weeks on November 4-15 as an IDEaS Distinguished Visitor. His time on campus is jointly sponsored by the Interdisciplinary Graduate Program in Quantitative Biosciences (QBioS), directed by Joshua Weitz, a professor in the School of Biological Sciences.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDodds is the Flint Professor of Mathematics and Statistics at the University of Vermont. His research focuses on system-level big data problems in many areas, including language and stories, sociotechnical systems, contagion, and ecology. He also directs UVM\u0026rsquo;s Complex Systems Center and co-directs UVM\u0026rsquo;s Computational Story Lab.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs part of his visit, Dodds will deliver the IDEaS Distinguished Lecture on \u0026ldquo;The Science of Stories: Measuring and Exploring the Ecology of Human Stories with Lexical Instruments.\u0026rdquo; The event will be held on Wednesday, November 6 in the Klaus Advanced Computing Building, Rooms\u0026nbsp;1116 E \u0026amp; W, from 3:00-4:00 p.m.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAdditionally, he will give another talk as a QBioS Special Seminar on \u0026ldquo;Rank Turbulence Divergence: A Tunable Instrument for Comparing Complex Systems.\u0026rdquo; The event will be held on Monday, November 11 in the Cherry Emerson Building, Room 320,\u0026nbsp;from 12:15-1:15 p.m.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDobbs will have office space in the Coda and Cherry Emerson Buildings to help facilitate interactions with both the IDEaS and QBioS research communities. You may find him in either location on November 4-15.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EPeter S. Dodds will visit Georgia Tech for two weeks on November 4-15 as an IDEaS Distinguished Visitor. His time on campus is jointly sponsored by the Interdisciplinary Graduate Program in Quantitative Biosciences (QBioS), directed by Joshua Weitz, a professor in the School of Biological Sciences.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Peter S. Dodds visits Georgia Tech for two weeks in November."}],"uid":"27255","created_gmt":"2019-10-31 19:53:48","changed_gmt":"2021-02-12 22:00:58","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-10-31T00:00:00-04:00","iso_date":"2019-10-31T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"628086":{"id":"628086","type":"image","title":"Peter S. Dodds","body":null,"created":"1572021301","gmt_created":"2019-10-25 16:35:01","changed":"1572021301","gmt_changed":"2019-10-25 16:35:01","alt":"Peter S. Dodds","file":{"fid":"239171","name":"Peter_Dodds_900x900.jpg","image_path":"\/sites\/default\/files\/images\/Peter_Dodds_900x900.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Peter_Dodds_900x900.jpg","mime":"image\/jpeg","size":61242,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Peter_Dodds_900x900.jpg?itok=COvfD7vM"}}},"media_ids":["628086"],"related_links":[{"url":"http:\/\/www.uvm.edu\/pdodds\/","title":"Peter S. Dodds"},{"url":"http:\/\/www.ideas.gatech.edu","title":"Institute for Data Science and Engineering"},{"url":"http:\/\/qbios.gatech.edu\/","title":"Quantitative Biosciences (QBioS) Program"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"187023","name":"go-data"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosie Giles\u003Cbr \/\u003E\r\nIDEaS Marketing Communications Manager\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:josie@gatech.edu\u0022\u003Ejosie@gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"643612":{"#nid":"643612","#data":{"type":"news","title":"Georgia Tech Research Highlights Premier Artificial Intelligence Conference","body":[{"value":"\u003Cp\u003EGeorgia Tech faculty and student researchers will figure prominently into the proceedings of the \u003Ca href=\u0022https:\/\/aaai.org\/Conferences\/AAAI-21\/\u0022\u003E35\u003Csup\u003Eth\u003C\/sup\u003E AAAI Conference on Artificial Intelligence\u003C\/a\u003E, being held virtually from Feb. 2-9.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETwenty-three members of the Georgia Tech community contributed to 11 papers that will be presented at the conference, while two longtime contributors will join the ranks of the prestigious AAAI Fellows program.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/ic.gatech.edu\/\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E Chair \u003Cstrong\u003EAyanna Howard\u003C\/strong\u003E and Professor \u003Cstrong\u003EAshok Goel\u003C\/strong\u003E join \u003Ca href=\u0022http:\/\/cc.gatech.edu\/\u0022\u003ECollege of Computing\u003C\/a\u003E Dean \u003Cstrong\u003ECharles Isbell\u003C\/strong\u003E (elected in 2019) and Regents\u0026rsquo; Professor Emerita \u003Cstrong\u003EJanet Kolodner\u003C\/strong\u003E (elected in 1992) are 2021 inductees to the fellowship, giving the Institute four members. The program recognizes individuals who have made significant, sustained contributions to the field of artificial intelligence.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E[\u003Cstrong\u003ERelated news:\u003C\/strong\u003E \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/643355\/ic-professors-howard-goel-named-2021-aaai-fellows\u0022\u003EIC Professors Howard, Goel Named 2021 AAAI Fellows\u003C\/a\u003E]\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENotable research among the eight papers accepted to AAAI 2021 includes work from a multi-institution team working to understand and improve forecasting models of influenza-like illnesses like Covid-19. Effective forecasting is even more challenging amidst the current pandemic, when counts are affected by various factors such as symptomatic similarities.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe approach in this paper steers historical forecasting models to new scenarios where the flu and Covid-19 co-exist, demonstrating success in adaptation without sacrificing overall performance.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech\u0026rsquo;s \u003Cstrong\u003EAlexander Rodr\u0026iacute;guez\u003C\/strong\u003E and \u003Cstrong\u003EB. Aditya Prakash\u003C\/strong\u003E are co-authors on the paper, along with \u003Cstrong\u003ENikhil Muralidhar\u003C\/strong\u003E, \u003Cstrong\u003EAnika Tabassum\u003C\/strong\u003E, and \u003Cstrong\u003ENaren Ramakrishnan\u003C\/strong\u003E of Virginia Tech, and \u003Cstrong\u003EBijaya Adhikari \u003C\/strong\u003Eof the University of Iowa.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E[\u003Cstrong\u003ERelated news:\u003C\/strong\u003E \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/642638\/research-team-wins-two-covid-19-challenges-one-week\u0022\u003EResearch Team Wins Two Covid-19 Challenges in One Week\u003C\/a\u003E]\u003C\/p\u003E\r\n\r\n\u003Cp\u003EExplore Georgia Tech\u0026rsquo;s presence in this visualization and view a list of papers below.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/public.tableau.com\/views\/AAAI2021-GeorgiaTechAIresearch\/Dashboard1?:language=en\u0026amp;:display_count=y\u0026amp;:origin=viz_share_link:showVizHome=no\u0022\u003EINTERACTIVE VISUALIZATION: Georgia Tech @ AAAI 20201\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.medrxiv.org\/content\/10.1101\/2020.09.28.20203109v2\u0022\u003EDeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting\u003C\/a\u003E (Alexander Rodr\u0026iacute;guez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash)\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.medrxiv.org\/content\/10.1101\/2020.09.28.20203109v2\u0022\u003ESemantic MapNet: Building Alocentric SemanticMaps and Representations from Egocentric Views\u003C\/a\u003E (Vincent Cartillier, Zhile Ren, Neha Jain, Stefan Lee, Irfan Essa, Dhruv Batra)\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2009.11407.pdf\u0022\u003ESteering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19\u003C\/a\u003E (Alexander Rodr\u0026iacute;guez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash)\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2009.11407.pdf\u0022\u003EBias and Variance of Post-processing in Differential Privacy\u003C\/a\u003E (Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto)\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003EBranch and Price for Bus Driver Scheduling with Complex Break Constraints (Lucas Kletzander, Nysret Musliu, Pascal Van Hentenryck)\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003EDetecting and Adapting to Novelty in Games (Xiangyu Peng, Jonathan Balloch, Mark Riedl)\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2009.12562.pdf\u0022\u003EDifferentially Private and Fair Deep Learning: A Lagrangian Dual Approach\u003C\/a\u003E (Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck)\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2010.00685.pdf\u0022\u003EHow to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds\u003C\/a\u003E\u0026nbsp;(Prithviraj Ammanabrolu, Jack Urbanek, Margaret Li, Arthur Szlam, Tim Rocktaschel, Jason Weston)\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2009.00829.pdf\u0022\u003EAutomated Storytelling via Causal, Commonsense Plot Ordering\u003C\/a\u003E\u0026nbsp;(Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark Riedl)\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/1902.06007.pdf\u0022\u003EEncoding Human Domain Knowledge to Warm Start Reinforcement Learning\u003C\/a\u003E\u0026nbsp;(Andrew Silva, Matthew Gombolay)\u003C\/li\u003E\r\n\t\u003Cli\u003E\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2101.06351\u0022\u003EWeakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests\u003C\/a\u003E (Jiaao Chen, Diyi Yang)\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Eighteen members of the Georgia Tech community contributed to eight papers that will be presented virtually at AAAI 2021, while two longtime contributors will join the ranks of the prestigious AAAI Fellows program."}],"uid":"33939","created_gmt":"2021-01-29 13:24:52","changed_gmt":"2021-02-01 15:48:30","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-01-29T00:00:00-05:00","iso_date":"2021-01-29T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"643611":{"id":"643611","type":"image","title":"Artificial Intelligence","body":null,"created":"1611926616","gmt_created":"2021-01-29 13:23:36","changed":"1611926616","gmt_changed":"2021-01-29 13:23:36","alt":"Artificial Intelligence","file":{"fid":"244352","name":"artificial-intelligence-4469138_1280.jpg","image_path":"\/sites\/default\/files\/images\/artificial-intelligence-4469138_1280.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/artificial-intelligence-4469138_1280.jpg","mime":"image\/jpeg","size":212458,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/artificial-intelligence-4469138_1280.jpg?itok=6bKOxBNr"}},"643694":{"id":"643694","type":"image","title":"AAAI 2021 Visualization","body":null,"created":"1612194422","gmt_created":"2021-02-01 15:47:02","changed":"1612194422","gmt_changed":"2021-02-01 15:47:02","alt":"Georgia Tech at AAAI 2021","file":{"fid":"244377","name":"aaai_viz.jpg","image_path":"\/sites\/default\/files\/images\/aaai_viz.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/aaai_viz.jpg","mime":"image\/jpeg","size":409660,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/aaai_viz.jpg?itok=2w3bfp7_"}}},"media_ids":["643611","643694"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39501","name":"People and Technology"},{"id":"39521","name":"Robotics"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"643420":{"#nid":"643420","#data":{"type":"news","title":"National Science Foundation Funds Three-Year Project to Study Gene Expression in Single Cells\u00a0","body":[{"value":"\u003Cp\u003EProteins play an essential role in determining structural components of body tissue, enzymes, and antibodies. Understanding how cells determine which proteins to produce is the key to preventing disease, cellular mutations, and more.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA gene must be first expressed before its protein product is produced. Now, with advancements in computational science, researchers are asking if we can computationally identify the mechanism which decides which genes express themselves in a cell.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe answer to this billion-dollar question lies in predicting genetic regulatory networks using large-scale single cell gene-expression data.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Computational Science and Engineering (CSE) Assistant Professor\u0026nbsp;\u003Cstrong\u003EXiuwei Zhang\u0026nbsp;\u003C\/strong\u003Eis the recipient of a\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=2019771\u0022\u003E$400,000 National Science Foundation grant\u003C\/a\u003E\u0026nbsp;supporting the creation of new computing methods that aims to do just that.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We know that if we detect expression for a gene then it is likely that its proteins are also present. Since experimentally measuring protein abundance in cells is very difficult,\u0026nbsp;researchers look to gene regulatory networks to understand which proteins are present instead,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA gene regulatory network is a directing graph which shows, out of tens of thousands of genes, which genes are controlling other genes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;A common theory people use about molecular biology is that one gene corresponds to one mRNA and then corresponds to one protein. And most of the existing work to learn the gene regulatory networks also use this theory. However, this theory is over-simplified, and the fact is that one gene can correspond to multiple mRNAs, thus multiple proteins,\u0026rdquo; said Zhang.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis is where Zhang\u0026rsquo;s research breaks from traditional approaches and considers this one-to-many relationship in its gene regulatory networks.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Now since one gene corresponds to multiple isoforms, in our gene regulatory networks, the nodes are isoforms instead of genes, which can provide a more accurate representation of the actual regulatory mechanism in cells,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Zhang, recent advances in single cell RNA-sequencing technology have introduced new opportunities to infer high-quality regulatory networks at this level, but also pose new computational challenges\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn response to these challenges, a method for developing a transcript assembler that can quantify the expression level an isoform is needed to build an accurate and scalable regulatory network. This part of the work is led by Zhang\u0026rsquo;s collaborator,\u0026nbsp;Pennsylvania\u0026nbsp;State University Assistant Professor\u0026nbsp;\u003Cstrong\u003EMingfu Shao\u003C\/strong\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnother challenge for the researchers to access network accuracy has to do with cell ordering which plays a major role in inferring an accurate network. Depending on the level of error, cell ordering will determine whether a regulatory network\u0026rsquo;s predictions are accurate. To ensure this new network\u0026rsquo;s predictions are accurate, Zhang has the robust goal to create a method that can perform cell ordering and network inference simultaneously.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUltimately, the new methods will be used in the field of immunology to study cellular mechanisms in steroid-producing cells with collaborators at\u0026nbsp;Cambridge University.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This is very important for many biological events such as if disease happens during embryo development or to the immune system. It is our goal to be able to see from data that the level of an expression of a certain gene is not normal and then trace the problem through the regulator network. Once this is done, we can begin targeting the upstream genes for drug or vaccine development,\u0026rdquo; said Zhang.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Associate Professor Xiuwei Zhang was awarded an NSF grant to understand genetic expression at the isoform level."}],"uid":"34540","created_gmt":"2021-01-25 21:12:34","changed_gmt":"2021-01-29 14:12:48","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-01-25T00:00:00-05:00","iso_date":"2021-01-25T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"643419":{"id":"643419","type":"image","title":"Network Inference","body":null,"created":"1611608873","gmt_created":"2021-01-25 21:07:53","changed":"1611609377","gmt_changed":"2021-01-25 21:16:17","alt":"A protein 3D structure","file":{"fid":"244283","name":"Protein_ESR1_PDB_1a52.png","image_path":"\/sites\/default\/files\/images\/Protein_ESR1_PDB_1a52.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Protein_ESR1_PDB_1a52.png","mime":"image\/png","size":352331,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Protein_ESR1_PDB_1a52.png?itok=6NUhD2uF"}}},"media_ids":["643419"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[{"id":"186817","name":"isoform"},{"id":"3003","name":"protein"},{"id":"76231","name":"Computational Science and Engineering"},{"id":"4305","name":"cse"},{"id":"186818","name":"Computational Bioscience"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"643094":{"#nid":"643094","#data":{"type":"news","title":"Team Phoenix Takes Home a Top Ranking in Premier HPC Competition","body":[{"value":"\u003Cp\u003EA group of undergraduate students from Georgia Tech, dubbed\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/gtsc20\/team-phoenix\/\u0022\u003ETeam Phoenix,\u003C\/a\u003E\u0026nbsp;has claimed the third-highest overall score in the premier\u0026nbsp;\u003Ca href=\u0022https:\/\/sc20.supercomputing.org\/2020\/11\/14\/scs-first-virtual-student-cluster-competition-concludes-with-teams-greatly-expanding-their-knowledge-of-running-hpc-workloads-in-the-cloud\/\u0022\u003Ehigh-performance computing (HPC) student competition\u003C\/a\u003E\u0026nbsp;of 2020.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe\u0026nbsp;\u003Ca href=\u0022https:\/\/sc20.supercomputing.org\/program\/studentssc\/student-cluster-competition\/\u0022\u003EStudent Cluster Competition\u003C\/a\u003E\u0026nbsp;(SCC) is an immersive 72-hour HPC challenge held as part of the\u0026nbsp;\u003Ca href=\u0022https:\/\/sc20.supercomputing.org\/\u0022 target=\u0022_blank\u0022\u003ESupercomputing Conference Series (SC)\u003C\/a\u003E. SCC\u0026nbsp;presents undergraduate students with real-world scientific workloads, a series of benchmarks, and even a mystery challenge to overcome.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/641087\/high-performance-computing-all-everywhere\u0022\u003E\u003Cstrong\u003E[Related News: High-Performance Computing for All, Everywhere]\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis achievement marks just the second time that a Georgia Tech team was accepted to the competition. Despite a Georgia Tech group not competing since 2017, this year\u0026rsquo;s challengers were prepped and ready to become the only team outside of China to place in the top three of 19 competing organizations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The success of Georgia Tech\u0026#39;s SC20 Student Cluster Competition team was a thrill to witness. We feel strongly about providing students with opportunities to experience HPC. Our strategic partners from industry and national labs tell us demand for HPC skills continues to rise and initiatives like the SCC help cultivate interest in HPC careers,\u0026rdquo; said Team Phoenix coach and\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE) Research Technologist\u0026nbsp;\u003Cstrong\u003EWill Powell.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETeam Phoenix\u0026rsquo;s student competitors include computer science undergraduates\u003Cstrong\u003E\u0026nbsp;Sudhanshu Agarwal, Albert Chen, Aman Jain, Ali Kazmi, Nicole Prindle,\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EMarissa Sorkin.\u003C\/strong\u003E\u0026nbsp;This team of six was selected from a Spring 2020\u0026nbsp;\u003Ca href=\u0022https:\/\/www.vip.gatech.edu\/\u0022\u003EVertically Integrated Project\u003C\/a\u003E\u0026nbsp;(VIP) course focused on using HPC systems and applications.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EVIP instructors\u0026nbsp;\u003Cstrong\u003ERich Vuduc, Aaron Jezghani, Will Powell,\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EJeff Young\u003C\/strong\u003E\u0026nbsp;helped lead the group along with CSE graduate student\u0026nbsp;\u003Cstrong\u003EVijay Thakkar,\u003C\/strong\u003E\u0026nbsp;who served as the team mentor.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESupported by the VIP program and the\u0026nbsp;leadership of the\u0026nbsp;five coaches, the students engaged in the long-term, large-scale project that took nearly a year of planning to achieve before the competition had even started.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPart of this initial planning period was used to identify and recruit sponsorship for the team\u0026rsquo;s machine configuration. Vendor partner Penguin Computing answered the call by providing hardware support and sponsorship of Team Phoenix, while Intel and NVIDIA both shared expertise related to application optimization and HPC tools.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDue to Covid-19, the competition was moved to the Microsoft Azure cloud to accommodate remote participation, becoming the first-ever Virtual Student Cluster Competition of the Supercomputing Conference series.\u0026nbsp;Undeterred by the change in format, the students exhibited mastery of both HPC and cloud skills while building\u0026nbsp;virtual clusters, learning scientific applications, and applying optimization techniques for chosen cloud configurations.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs part of the competition\u0026rsquo;s new parameters, each team received an initial $3,200 debit balance for the use of cloud resources. Benchmark results were then compared to calculate standings followed by a $500 boost 12 hours before the competition\u0026rsquo;s end which presented new opportunities for teams looking to maximize their respective scores. In total, all 19 teams used a collective $61,300 of the $70,300 budget, demonstrating not only effective HPC skills but also effective managerial and budgeting skills as well.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Team Phoenix was supportive of one-another, competitive, clever, resourceful, and focused. It was a marvelous adventure. The end result is something all Yellow Jackets can be proud of and the team itself will never forget. We now have a reputation to defend and look forward to embarking on the adventure again in 2021,\u0026rdquo; said Powell.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWatch the team\u0026rsquo;s daily interviews at the link below.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/youtube.com\/playlist?list=PLl2dezBNo_BksHs_emoprAjYc-ZEbr-V_\u0022\u003E\u003Cstrong\u003Ehttps:\/\/youtube.com\/playlist?list=PLl2dezBNo_BksHs_emoprAjYc-ZEbr-V_\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech\u0027s undergraduate team places third in one of the world\u0027s top high performance computing competitions"}],"uid":"34540","created_gmt":"2021-01-19 20:16:27","changed_gmt":"2021-01-20 14:22:11","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-01-19T00:00:00-05:00","iso_date":"2021-01-19T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"643093":{"id":"643093","type":"image","title":"Team Phoenix ","body":null,"created":"1611087176","gmt_created":"2021-01-19 20:12:56","changed":"1611087176","gmt_changed":"2021-01-19 20:12:56","alt":"A screenshot of students on Microsoft Teams","file":{"fid":"244195","name":"EmVdZO8XcAIOCUg.jpeg","image_path":"\/sites\/default\/files\/images\/EmVdZO8XcAIOCUg.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/EmVdZO8XcAIOCUg.jpeg","mime":"image\/jpeg","size":379827,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/EmVdZO8XcAIOCUg.jpeg?itok=9iA1ptnO"}}},"media_ids":["643093"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"3427","name":"High performance computing"},{"id":"702","name":"hpc"},{"id":"167322","name":"supercomputing"},{"id":"177314","name":"parallel computing"},{"id":"1071","name":"Undergraduates"},{"id":"186743","name":"VIP course"},{"id":"4305","name":"cse"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"643068":{"#nid":"643068","#data":{"type":"news","title":"Undergraduates Design Covid Forecasting Dashboard ","body":[{"value":"\u003Cp\u003EPredicting Covid-19\u0026rsquo;s spread has been one of the pandemic\u0026rsquo;s biggest challenges. A team of undergraduates however, has created a \u003Ca href=\u0022https:\/\/www.covidforecasts.com\/\u0022\u003Eforecasting dashboard\u003C\/a\u003E that aggregates and compares prediction data to determine most likely outcomes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe web-based dashboard also lets users compare their predictions to professional models, giving users insight into how to build better forecasts.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EThe problem with forecasting\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccurate forecasting models are vital to pandemic safety because they can influence public policy and healthcare resource allocation. Yet Covid-19 has been especially hard to predict because its spread is affected by region, season, and other factors.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe idea of combining forecasts comes from forecasting competitions traditionally used to determine the outcome of elections, or the success of businesses, where rewards are given for accurate predictions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Competitive forecast mechanisms can be very useful for making predictions in uncertain environments,\u0026rdquo; College of Computing undergraduate researcher \u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/gayeonyoo\/\u0022\u003E\u003Cstrong\u003EGayeon Yoo\u003C\/strong\u003E\u003C\/a\u003E said. \u0026ldquo;A number of studies have shown the benefits of trusting the \u0026lsquo;wisdom of the crowd.\u0026rsquo;\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAggregating the data\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe website combines various Covid-19 databases and predictions from the Institute for Health Metrics and Evaluation (IHME), Columbia University, and Georgia Tech for case and death totals. The site determines their accuracy by calculating the mean squared error of the models by prediction time: a week, two weeks, four weeks, and overall. The most accurate forecasts are ranked on the Top Forecasters page.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUsers can also provide their own forecasts and learn later how their forecasts performed relative to other users and professional modelers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Seeing how your predictions compare to others on different outcomes such as daily cases or daily deaths is what intrigues users,\u0026rdquo; New York University undergraduate research \u003Ca href=\u0022https:\/\/rachelombok.com\/\u0022\u003E\u003Cstrong\u003ERachel Ombok\u003C\/strong\u003E\u003C\/a\u003E said. \u0026ldquo;Being able to see the shift in your own predictions and see what your forecasts over time can be useful to researchers, and also helps to engage users who may have private information about the pandemic\u0026rsquo;s spread in their region.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team believes the ranking system encourages users to develop better prediction models by creating a competitive environment around forecast accuracy.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFuture iterations of the site will include more data to forecast on hospitalizations and infections, as well segment by country, state, and other regions. The team also plans to make the interface more customizable so users can write their own programs and use statistics or machine learning for automated submissions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We want people to see what forecast modeling is like first-hand, and we also want to use our evaluation metrics to quantify the accuracy of user and institution forecasts,\u0026rdquo; College undergraduate \u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/aniruddhamurali\/\u0022\u003E\u003Cstrong\u003EAniruddha Murali\u003C\/strong\u003E\u003C\/a\u003E said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe website was created by College of Computing undergraduates Muraliand Yoo and New York University undergraduate\u003Cstrong\u003E Ombok\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe project is part of a Covid-19 \u003Ca href=\u0022https:\/\/www.covideas20reu.org\/\u0022\u003EResearch Experience for Undergraduates\u003C\/a\u003E (REU) started by School of Computer Science Assistant Professor \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~jabernethy9\/\u0022\u003E\u003Cstrong\u003EJake Abernethy\u003C\/strong\u003E\u003C\/a\u003E with School of Computational Science and Engineering Associate Professor \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~badityap\/\u0022\u003E\u003Cstrong\u003EAditya Prakash\u003C\/strong\u003E\u003C\/a\u003E, University of Michigan Assistant Professor \u003Ca href=\u0022https:\/\/michiganross.umich.edu\/faculty-research\/faculty\/eric-schwartz\u0022\u003E\u003Cstrong\u003EEric Schwartz\u003C\/strong\u003E\u003C\/a\u003E, and University of Colorado Assistant Professor \u003Ca href=\u0022https:\/\/www.bowaggoner.com\/\u0022\u003E\u003Cstrong\u003EBo Waggoner\u003C\/strong\u003E\u003C\/a\u003E. The project was funded by the \u003Ca href=\u0022https:\/\/www.nsf.gov\/crssprgm\/reu\/\u0022\u003ENational Science Foundation\u003C\/a\u003E and Georgia Tech\u0026rsquo;s \u003Ca href=\u0022http:\/\/ideas.gatech.edu\/\u0022\u003EInstitute for Data Engineering and Science\u003C\/a\u003E (IDEaS).\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A team of undergraduates has created a forecasting dashboard that aggregates and compares prediction data to determine most likely outcomes."}],"uid":"34541","created_gmt":"2021-01-19 17:23:25","changed_gmt":"2021-01-19 17:24:25","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-01-19T00:00:00-05:00","iso_date":"2021-01-19T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"643069":{"id":"643069","type":"image","title":"Covid Dashboard","body":null,"created":"1611077042","gmt_created":"2021-01-19 17:24:02","changed":"1611077042","gmt_changed":"2021-01-19 17:24:02","alt":"Forecast dashboard","file":{"fid":"244184","name":"Screen Shot 2021-01-19 at 12.22.58 PM.png","image_path":"\/sites\/default\/files\/images\/Screen%20Shot%202021-01-19%20at%2012.22.58%20PM.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Screen%20Shot%202021-01-19%20at%2012.22.58%20PM.png","mime":"image\/png","size":200141,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Screen%20Shot%202021-01-19%20at%2012.22.58%20PM.png?itok=OPa9pr6f"}}},"media_ids":["643069"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"642944":{"#nid":"642944","#data":{"type":"external_news","title":"Assistant Professor Named to IEEE\u2019s AI\u2019s 10 to Watch List","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2021-01-14 18:58:54","changed_gmt":"2021-01-14 18:58:54","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"security dynamics","field_article_url":"","publication_url":"https:\/\/bit.ly\/3byNVOS","dateline":{"date":"2021-01-14T00:00:00-05:00","iso_date":"2021-01-14T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[{"id":"134","name":"Student and Faculty"}],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"642638":{"#nid":"642638","#data":{"type":"news","title":"Georgia Tech Research Team Wins Two Covid-19 Challenges in One Week","body":[{"value":"\u003Cp\u003ESchool of Computational Science and Engineering (CSE) Ph.D. student\u0026nbsp;\u003Cstrong\u003EAlexander Rodriguez\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;Associate Professor\u0026nbsp;\u003Cstrong\u003EB. Aditya Prakash\u003C\/strong\u003E\u0026nbsp;are enabling new data-driven solutions for pandemic response. Their research, which focuses on influenza-like illnesses (ILI) and Covid-19, garnered global attention by securing two awards for Covid-19-related challenges within the same week in mid-December.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERodriguez and Prakash joined CSE a little over one year ago while working on\u0026nbsp;data science and artificial intelligence research with epidemiological applications, including the development of historical models for influenza forecasting.\u0026nbsp;Shortly after their move to Georgia Tech, the Covid-19 outbreak began.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor nearly a year since, Prakash\u0026rsquo;s group has led the charge on numerous\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~badityap\/covid.html\u0022\u003ECovid-19 research endeavors\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOf these endeavors, their work with the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cdc.gov\/\u0022\u003ECenters for Disease Control and Prevention\u003C\/a\u003E\u0026nbsp;(CDC) using deep learning\u0026nbsp;models to forecast Covid-19 spread, such as hospitalizations and mortalities, may be one of the most prominent efforts.\u0026nbsp;These models\u0026rsquo; predictions are currently being used by public officials and healthcare providers across the country to help track and combat the novel coronavirus.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E[Related News:\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/635849\/team-using-deep-learning-forecast-pandemic-us\u0022\u003E\u003Cstrong\u003ETeam Using Deep Learning to Forecast Pandemic in the U.S.]\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E[Related News:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/637102\/scientists-collaborating-new-data-driven-approach-covid-19-intervention\u0022\u003EScientists Collaborating on New Data-Driven Approach to Covid-19 Intervention\u003C\/a\u003E]\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENow, the team is expanding their work with the CDC to apply their research to broader challenges including the\u0026nbsp;\u003Ca href=\u0022https:\/\/c3.ai\/c3-ai-covid-19-grand-challenge\/\u0022\u003EC3.ai Covid-19 Grand Challenge\u003C\/a\u003E\u0026nbsp;and the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.symptomchallenge.org\/\u0022\u003EFacebook Covid-19 Symptom Data Challenge\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBoth challenges asked teams to create innovative approaches for enabling new solutions to pandemic response using proprietary data sets.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We have been exploring data-driven methods for public health broadly, including for disease forecasting. Given that both of these competitions focused on leveraging novel data sources, it seemed like a very good fit for what we were working on,\u0026rdquo; said Prakash.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;But we wanted to take it one step further because we also wanted to bring our flu-forecasting experience into this.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Prakash, the team has gained a wealth of knowledge and experience from working on these real-time data competitions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe said, \u0026ldquo;It\u0026rsquo;s one thing to write a nice academic research paper about a clean problem \u0026ndash; but in a real-time pandemic-emerging scenario where you don\u0026rsquo;t know what is going to happen, when there is so much uncertainty, there is so much more to navigate. And fundamentally, we felt we were well-placed to tackle these challenges.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPreparing Hospitals for Covid-19 and Flu Season\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe C3.ai\u0026nbsp;\u003Ca href=\u0022https:\/\/c3.ai\/c3-ai-announces-covid-19-grand-challenge-winners\/\u0022\u003Eglobal competition\u003C\/a\u003E\u0026nbsp;encouraged research teams to us the C3.ai data lake to drive fundamental change in building state-of-the-art data science methods to enhance Covid-19 response.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Prakash and Rodriguez, ILIs and Covid-19 exhibit symptomatic similarities which affect one another\u0026rsquo;s level of reported cases and therefore need to be taken into consideration when addressing disease spread. Given this consideration, they saw the C3.ai challenge as an opportunity to expand on their ILI and Covid-19 research with the new data provided.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETheir proposed framework,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~acastillo41\/assets\/docs\/survey_slides.pdf\u0022\u003E\u003Cem\u003EDeepOutbreak\u003C\/em\u003E\u003C\/a\u003E\u003Cem\u003E,\u003C\/em\u003E\u0026nbsp;secured second place out of 777 participants by presenting a framework to better inform\u0026nbsp;response strategies using datasets provided by C3.ai. It accomplishes this by\u0026nbsp;modeling the progression of Covid-19 and symptomatically similar co-evolving ILIs to support optimal deployment of healthcare resources.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Machine learning techniques allow us to directly ingest data signals that may be better representing what is happening on the ground. Our framework is useful in forecasting the spread of both Covid-19 and influenza in the chaotic circumstances we are facing. We found our predictions complement other, more traditional, approaches for epidemic forecasting,\u0026rdquo; said Rodriguez.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe DeepOutbreak framework was developed with\u0026nbsp;\u003Cstrong\u003EBijaya Adhikari\u003C\/strong\u003E\u0026nbsp;from the University of Iowa, and\u0026nbsp;\u003Cstrong\u003EAnika Tabassum\u003C\/strong\u003E,\u0026nbsp;\u003Cstrong\u003ENikhil Muralidhar,\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003ENaren Ramakrishnan\u0026nbsp;\u003C\/strong\u003Efrom Virginia Tech. This very same team continued on from the C3.ai challenge to take first place out of 55 organizations for the Facebook Covid-19 Symptom Data Challenge that same week.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPredicting Covid-19 Trends Using Facebook Data\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESimilar to the C3.ai competition, the Facebook challenge asked teams from across the world to develop a novel analytic approach to enable earlier detection and improved situational awareness of the Covid-19 outbreak using Facebook Covid-19 data.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Facebook Covid-19 data was gathered by administering a survey on the social media platform which asked respondents about symptoms.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;As it is well known, Covid-19 and the flu share similar symptoms, like a cough or a fever. So, we wanted to understand if their symptomatic data helps us to differentiate between these diseases because they can interact, have similar symptoms, and can contaminate each other\u0026rsquo;s surveillance systems,\u0026rdquo; said Prakash.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe DeepOutbreak team secured a first-place victory in the challenge by characterizing different facets of the utility of the symptom survey data from Facebook.\u0026nbsp;\u003Ca href=\u0022https:\/\/www.youtube.com\/watch?v=0QsuacFnedE\u0022\u003EThey found\u003C\/a\u003E\u0026nbsp;the novel data could help in predictive accuracy and also to\u0026nbsp;anticipate changes in trends in the epidemic curves of both Covid-19 and ILIs.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs the winner, the team\u0026rsquo;s analytic design will be featured on the\u0026nbsp;\u003Ca href=\u0022https:\/\/dataforgood.fb.com\/\u0022\u003EFacebook Data for Good\u003C\/a\u003E\u0026nbsp;website and partner forums, including blogs and community websites.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Our data collection pulls from Google, CDC, and other institutions. Complementing these data sets with the Facebook data helped us find these trends,\u0026rdquo; said Rodriguez.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Rodriguez, the Facebook data helped fill the gap in symptomatic data by it being readily accessible to people who are experiencing symptoms but not going to healthcare providers or taking Covid-19 tests.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Associate Professor Aditya Prakash and Ph.D. student Alexander Rodriguez won two Covid-19 related challenges."}],"uid":"34540","created_gmt":"2021-01-07 15:26:48","changed_gmt":"2021-01-07 15:33:15","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-01-07T00:00:00-05:00","iso_date":"2021-01-07T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"642636":{"id":"642636","type":"image","title":"Alex Rodriguez and Aditya Prakash","body":null,"created":"1610032965","gmt_created":"2021-01-07 15:22:45","changed":"1610032965","gmt_changed":"2021-01-07 15:22:45","alt":"Alexander Rodriguez and Aditya Prakash headshots","file":{"fid":"244066","name":"AlexandAditya.jpg","image_path":"\/sites\/default\/files\/images\/AlexandAditya.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/AlexandAditya.jpg","mime":"image\/jpeg","size":1330445,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/AlexandAditya.jpg?itok=gVyyJPnb"}}},"media_ids":["642636"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"276","name":"Awards"},{"id":"92811","name":"data science"},{"id":"186612","name":"Helping Stories"},{"id":"76231","name":"Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"642538":{"#nid":"642538","#data":{"type":"external_news","title":"Meet ML@GT: Xinshi Chen Seeks to Bridge Connections Between Deep Learning Models and Traditional Algorithms","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2021-01-05 16:55:11","changed_gmt":"2021-01-05 16:55:11","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"security dynamics","field_article_url":"","publication_url":"https:\/\/bit.ly\/38dS8oS","dateline":{"date":"2021-01-05T00:00:00-05:00","iso_date":"2021-01-05T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"642208":{"#nid":"642208","#data":{"type":"news","title":"CRNCH Creates Fellowship Program","body":[{"value":"\u003Cp\u003EThe \u003Ca href=\u0022http:\/\/www.crnch.gatech.edu\/\u0022\u003ECenter for Research into Novel Computing Hierarchies\u003C\/a\u003E (CRNCH) has launched a new fellowship program to support innovative student research in post-Moore computing topics. The first three fellows are Ph.D. students \u003Cstrong\u003EDingtian Zhang\u003C\/strong\u003E,\u003Cstrong\u003E Muliang Zhu\u003C\/strong\u003E, and \u003Cstrong\u003EChunxing Yin\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe fellowship awards partial funding for four Ph.D. students working on novel research topics that fit in with CRNCH\u0026rsquo;s mission of post-Moore software and hardware designs. Fellows are required to create a poster and paper during their term, and also present at the annual CRNCH Summit in January of each year. This gives them the opportunity prepare for publication and the job market.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECRNCH is a research center that focuses on exploring new computing paradigms after the end of Moore\u0026rsquo;s law, sometimes called the post-Moore\u0026rsquo;s era. The center partners with academics and industry to explore full-stack solutions on everything from quantum computing to approximate computation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/www.crnch.gatech.edu\/content\/crnch-fellowship\u0022\u003EApplications\u003C\/a\u003E for the spring CRNCH fellowship are due Dec. 18, 2020.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMeet the fellows:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~dzhang95\/\u0022\u003E\u003Cstrong\u003EDingtian Zhang\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cstrong\u003ESchool:\u003C\/strong\u003E School of Interactive Computing\u003Cbr \/\u003E\r\n\u003Cstrong\u003EAdvisor:\u003C\/strong\u003E Professor \u003Ca href=\u0022http:\/\/ubicomp.cc.gatech.edu\/gregory-d-abowd\/\u0022\u003E\u003Cstrong\u003EGregory Abowd\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhy did you apply for the CRNCH fellowship?\u0026nbsp;\u003C\/strong\u003E\u003Cbr \/\u003E\r\nI am developing computational materials that can weave into the fabric of everyday objects. My work falls under the categories of analog computing, computing based on novel device physics and materials, and optical computing, which is in line with the interest of CRNCH.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhat project will you be working on during the fellowship?\u003C\/strong\u003E\u003Cbr \/\u003E\r\nWe are particularly interested in developing large-scaled sensing systems that can perform light-based sensing on the surfaces of everyday objects to detect implicit and explicit human activities. Such systems need to be self-sustained and easy to maintain, cost effective to scale, conformal to everyday objects, and protective of user privacy. Conventional vision systems based on cameras struggle to keep up with the ubiquitous deployment on these dimensions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe are developing computational photodetectors that not only sense, but also process the signal in the analog domain to extract mid-level vision features, reducing the inherent complexity and latency from digital signal acquisition and computing. This does not only make the system low-power and scalable, but also prevents capturing unwanted information from images. We adopt emerging organic semiconductor (OSC) devices in fabricating computational photodetectors with lightweight, thin, flexible, and conformal form factors. Computational photodetectors will enable a wide range of large-scale applications such as smart environment, health monitoring, asset tracking, and activity recognition.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/muliang-zhu-18389211a\/\u0022\u003E\u003Cstrong\u003EMuliang Zhu\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cstrong\u003ESchool: \u003C\/strong\u003ESchool of Electrical and Computer Engineering\u003Cbr \/\u003E\r\n\u003Cstrong\u003EAdvisor: \u003C\/strong\u003EProfessor \u003Ca href=\u0022https:\/\/www.ece.gatech.edu\/faculty-staff-directory\/ali-adibi\u0022\u003E\u003Cstrong\u003EAli Adibi\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhy did you apply for the CRNCH fellowship?\u003C\/strong\u003E\u003Cbr \/\u003E\r\nBeing part of a larger community that focuses on new frontiers of computing technology is a great benefit for all people like me in the optical computing area. Because of this, I applied for the fellowship to bring the concept of computing using ultracompact photonic devices to CRNCH.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhat project will you be working on during the fellowship?\u003C\/strong\u003E\u003Cbr \/\u003E\r\nI will be working on nanostructure optical parametric oscillators (OPOs) for nonlinear control of light at the subwavelength scale, aiming at using photonics for neural-network-type computing. The main part of the project I am currently focusing on is the development of nonlinear meta-structure that can provide the optical nonlinearity that is needed for the development of any brain-inspired computing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/chunxing-yin-965a9a58\/\u0022\u003E\u003Cstrong\u003EChunxing Yin\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cstrong\u003ESchool: \u003C\/strong\u003ESchool of Computational Science and Engineering\u003Cbr \/\u003E\r\n\u003Cstrong\u003EAdvisor: \u003C\/strong\u003EProfessor\u003Cstrong\u003E \u003Ca href=\u0022http:\/\/vuduc.org\/v2\/\u0022\u003ERich Vuduc\u003C\/a\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhy did you apply for the CRNCH fellowship?\u003C\/strong\u003E\u003Cbr \/\u003E\r\nMy research focuses on neural networks compression using tensorization, which offers a systematic way to trade-off storage, execution time, and accuracy with respect to the capabilities of a given hardware platform. My advisor and I believe that this work fits well within CRNCH and would benefit from feedback from the CRNCH community, so we applied for this fellowship.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhat project will you be working on during the fellowship?\u003C\/strong\u003E\u003Cbr \/\u003E\r\nWe propose to evaluate to what extent convolutional layers and embedding layers of recommender systems can be trained in a reduced form using the techniques of low-rank tensor train decomposition.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERecent studies have shown an alarming growth in the environmental burden from AI, for example the number of parameters in state-of-the-art language models increased to over 175 billion for OpenAI\u0026rsquo;s GPT-3. To significantly reduce the environmental footprint of AI, we need order-of-magnitude reduction in the infrastructure demand while maintaining or even outperforming state-of-the-art model accuracy. We are exploring a new algorithmic approach, tensor train decomposition, to cope with the large memory requirement of DNNs. The core idea is to replace large weight tensors with a sequence of small tensor decompositions that trades of memory storage with computation. Initially, we will study the compressed networks in the context of heterogeneous CPU-GPU architectures. But we believe that our results will help guide engineering co-design of future hardware-software systems for neural networks.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The Center for Research into Novel Computing Hierarchies (CRNCH) has launched a new fellowship program to support innovative student research in post-Moore computing topics. "}],"uid":"34541","created_gmt":"2020-12-17 17:44:50","changed_gmt":"2020-12-17 17:46:50","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-12-17T00:00:00-05:00","iso_date":"2020-12-17T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"613923":{"id":"613923","type":"image","title":"CRNCH Summit Poster","body":null,"created":"1541523553","gmt_created":"2018-11-06 16:59:13","changed":"1541523553","gmt_changed":"2018-11-06 16:59:13","alt":"CRNCH Summit poster session","file":{"fid":"233699","name":"0.jpg","image_path":"\/sites\/default\/files\/images\/0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/0.jpg","mime":"image\/jpeg","size":69515,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/0.jpg?itok=Acie5G2-"}}},"media_ids":["613923"],"groups":[{"id":"576491","name":"CRNCH"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"642198":{"#nid":"642198","#data":{"type":"external_news","title":"ML@GT Awards First-Ever Doctorate in Machine Learning from Georgia Tech","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-12-17 17:00:51","changed_gmt":"2020-12-17 17:00:51","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"security dynamics","field_article_url":"","publication_url":"http:\/\/bit.ly\/38cOMBs","dateline":{"date":"2020-12-17T00:00:00-05:00","iso_date":"2020-12-17T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[{"id":"129","name":"Institute and Campus"},{"id":"42911","name":"Education"},{"id":"134","name":"Student and Faculty"}],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"642071":{"#nid":"642071","#data":{"type":"news","title":"Preparing for Emergency Response with Partial Network Information","body":[{"value":"\u003Cp\u003ENatural disasters cause considerable economic damage, loss of life, and network disruptions each year. As emergency response and infrastructure systems are interdependent and interconnected, quick assessment and repair in the event of a disruption is critical.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Computational Science and Engineering (CSE) Associate Professor\u0026nbsp;\u003Cstrong\u003EB. Aditya Prakash\u003C\/strong\u003E\u0026nbsp;is leading a collaborative effort with researchers from Georgia Institute of Technology, University of Oklahoma, University of Iowa, and University of Virginia to determine the state of an infrastructure network during such a disruption.\u0026nbsp;Prakash\u0026rsquo;s group has also been collaborating closely with the Oak Ridge National Laboratory on such problems in critical infrastructure networks.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHowever, according to Prakash, quickly determining which infrastructure components are damaged in the event of a disaster is a not easily done after a disruption.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;If there is a disruption caused by an earthquake or hurricane and some things go down in the power grid, critical infrastructure system, transportation network, or the energy distribution network, how do you figure out what things have failed?\u0026rdquo; asked Prakash.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The big problem in figuring out what has gone wrong is that all of these networks are highly decentralized and spread out. Usually there will be no central command or \u0026lsquo;oracle\u0026rsquo; that immediately knows perfectly what is out, what is on, what is fine, and what is not.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGiven these networks\u0026rsquo; decentralized organization and sparse installation of real-time monitoring systems, only a partial observation of the network is typically available after a disaster.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBy\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2012.03413\u0022\u003E\u0026nbsp;using connectivity queries to map network states,\u0026shy;\u0026nbsp;\u003C\/a\u003EPrakash\u0026rsquo;s team outlines in their recent paper how to determine the damage of an entire network from the portion of observable and operational nodes.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team aims to infer failed network components by examining two node characteristics: The partial information available from reachable nodes and a small sample of point probes which are typically more practical to obtain in a failure.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EModeling their research on real utility network data gathered by the University of Oklahoma, Prakash\u0026rsquo;s team proposes using an information theoretic formulation called the minimum description length (MDL) principle. This is the notion that the best way to describe any data is the shortest one. Hence the researchers try to find those failed components,\u0026nbsp;particularly the critical ones affecting overall system performance,\u0026nbsp;which contain enough information to effectively minimize the MDL cost.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAlexander Rodriguez\u003C\/strong\u003E, a CSE Ph.D. student and lead author, will present the findings of this research this week at the\u0026nbsp;\u003Ca href=\u0022https:\/\/nips.cc\/Conferences\/2020\/Dates\u0022\u003E2020 Neural Processing and Information Systems (NeurIPS)\u003C\/a\u003E\u0026nbsp;conference as part of the\u0026nbsp;\u003Ca href=\u0022https:\/\/nips.cc\/virtual\/2020\/public\/workshop_16152.html\u0022\u003EWorkshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response.\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E[Related News:\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/neurips\/\u0022\u003EIsbell to Present Keynote at Premier Neural Processing Conference\u003C\/a\u003E]\u003C\/strong\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Associate Professor Aditya Prakash has led a team which has identified ways to infer a network\u0027s status after disruptions caused by natural disasters."}],"uid":"34540","created_gmt":"2020-12-11 17:44:46","changed_gmt":"2020-12-11 17:45:48","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-12-11T00:00:00-05:00","iso_date":"2020-12-11T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"642070":{"id":"642070","type":"image","title":"Network Connectivity","body":null,"created":"1607708526","gmt_created":"2020-12-11 17:42:06","changed":"1607708526","gmt_changed":"2020-12-11 17:42:06","alt":"a diagram of networks leading to and from homes","file":{"fid":"243935","name":"Network Connectivity.png","image_path":"\/sites\/default\/files\/images\/Network%20Connectivity.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Network%20Connectivity.png","mime":"image\/png","size":84069,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Network%20Connectivity.png?itok=W_YltcgR"}}},"media_ids":["642070"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"76231","name":"Computational Science and Engineering"},{"id":"92811","name":"data science"},{"id":"184341","name":"Aditya Prakash"},{"id":"186433","name":"Alex Rodriguez"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"640011":{"#nid":"640011","#data":{"type":"news","title":"Google Awards Computing Student for Outstanding Machine Learning Research","body":[{"value":"\u003Cp\u003ESchool of Computational Science and Engineering (CSE) Ph.D. student\u0026nbsp;\u003Cstrong\u003EXinshi Chen\u003C\/strong\u003E\u0026nbsp;is being recognized for her work in machine learning with a prestigious fellowship.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChen specializes in principled machine learning research with a focus on learning-based algorithm design and deep learning structured data. Her work has garnered the attention of Google and recently received the\u0026nbsp;\u003Ca href=\u0022https:\/\/research.google\/outreach\/phd-fellowship\/recipients\/\u0022\u003E2020 Google Ph.D. Fellowship\u003C\/a\u003E\u0026nbsp;for outstanding graduate research in machine learning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne of her recent co-authored papers aims to\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2006.13401.pdf\u0022\u003Ecreate a system that can automatically learn an algorithm\u003C\/a\u003E\u0026nbsp;from data and apply the learned algorithm to solve new problems. The paper, developed with CSE Associate Professor\u0026nbsp;\u003Cstrong\u003ELe Song\u003C\/strong\u003E, along with\u0026nbsp;\u003Cstrong\u003EYufei Zhang\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EChristoph Reisinger\u003C\/strong\u003E\u0026nbsp;of the University of Oxford, will be presented at the\u0026nbsp;\u003Ca href=\u0022https:\/\/nips.cc\/Conferences\/2020\/CallForTutorials\u0022\u003EThirty-fourth Conference on Neural Information Processing Systems\u003C\/a\u003E, which is scheduled for Dec. 6 through 12.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChen said, \u0026ldquo;Both algorithms and deep learning models aim to solve problems and make predictions for various tasks. Our project investigates the connection between traditional algorithms and deep learning models, and the strengths of these two can be combined to help each other.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Chen, the design of algorithms can be automated and improved upon by learning from data with data-driven components filling the gaps between the rules designed by experts and the real-world observations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;On the other hand, deep learning models can use algorithm structures as inductive bias for designing the architectures, which can improve the data efficiency and interpretability of deep learning models,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;By viewing learning-based algorithms as deep learning models, currently we are designing a theoretical framework to understand their behaviors from the learning theory perspective, by characterizing their generalization, representation abilities, and more,\u0026rdquo; said Chen.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhen asked why she chose to study with the School of CSE despite her machine learning emphasis, Chen said it was due to its interdisciplinary approach to modern science.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;There is a broad range of research topics that CSE faculty are working on, and many of these research topics are closely related to our daily life, including high-performance computing, healthcare, and computational biology. It is very useful to attend the seminars organized by CSE and interact with people with different backgrounds as it can bring in new ideas from communities outside machine learning,\u0026rdquo; she said.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Xinshi Chen is the recipient of the 2020 Google Ph.D. Fellowship for Machine Learning"}],"uid":"34540","created_gmt":"2020-10-08 13:51:39","changed_gmt":"2020-12-04 15:42:57","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-10-08T00:00:00-04:00","iso_date":"2020-10-08T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"640010":{"id":"640010","type":"image","title":"Xinshi Chen","body":null,"created":"1602164968","gmt_created":"2020-10-08 13:49:28","changed":"1602164968","gmt_changed":"2020-10-08 13:49:28","alt":"headshot of woman with dark hair and white shirt","file":{"fid":"243293","name":"XinshiChenHeadshot.jpg","image_path":"\/sites\/default\/files\/images\/XinshiChenHeadshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/XinshiChenHeadshot.jpg","mime":"image\/jpeg","size":468199,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/XinshiChenHeadshot.jpg?itok=uE-v8HSh"}}},"media_ids":["640010"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"47223","name":"College of Computing"},{"id":"455941","name":"School of Awesome"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"3165","name":"google"},{"id":"185278","name":"xinshi Chen"},{"id":"1096","name":"Ph.D."},{"id":"186388","name":"Student Highlight"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"641778":{"#nid":"641778","#data":{"type":"external_news","title":"Isbell to Present Keynote at Premier Neural Processing Conference","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-12-02 14:16:05","changed_gmt":"2020-12-02 14:16:05","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/b.gatech.edu\/2UYu16c","dateline":{"date":"2020-12-02T00:00:00-05:00","iso_date":"2020-12-02T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"641459":{"#nid":"641459","#data":{"type":"external_news","title":"Find the Right Lab for You at ML@GT\u2019s Lab Lightning Talks","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-11-19 23:35:59","changed_gmt":"2020-11-19 23:35:59","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"security dynamics","field_article_url":"","publication_url":"https:\/\/bit.ly\/3pHQP8k","dateline":{"date":"2020-11-19T00:00:00-05:00","iso_date":"2020-11-19T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"641385":{"#nid":"641385","#data":{"type":"news","title":"Gordon Bell Finalist Uses Supercomputing to Connect the Dots Across Academic Bodies of Work","body":[{"value":"\u003Cp\u003EInformation overload is all too common in the modern world, particularly in academia. With millions of articles and academic papers, connecting concepts throughout bodies of work is no simple task.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHowever, a breakthrough created by researchers from Georgia Tech and Oak Ridge National Laboratory (ORNL) presents a way to link the millions upon millions of data points found throughout volumes of information.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe\u0026nbsp;\u003Ca href=\u0022https:\/\/www.zenodo.org\/record\/3980252#.X5hTuS2z1N0\u0022\u003Epaper outlining this breakthrough method\u003C\/a\u003E\u0026nbsp;has been nominated for the 2020 Gordon Bell Prize, which awards outstanding achievements in high-performance (HPC) computing with an emphasis on applying HPC to applications across science, engineering, and large-scale data analytics.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECo-authored by School of Computational Science and Engineering (CSE) Master\u0026rsquo;s degree student\u0026nbsp;\u003Cstrong\u003EVijay Thakkar\u003C\/strong\u003E\u0026nbsp;and Professor\u0026nbsp;\u003Cstrong\u003ERich Vuduc\u003C\/strong\u003E\u0026nbsp;and ORNL researchers\u0026nbsp;\u003Cstrong\u003EPiyush Sao, Hao Lu, Drahomira Herrmannova, Robert Patton, Thomas Patok, Ramakrishnan Kannan\u003C\/strong\u003E\u0026nbsp;this work presents a novel data mining approach to analyze large corpora of scholarly publications with HPC to discover how concepts relate to one another.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In order to keep pushing the exponential progress of science, we need some level of analysis of different research papers so we can synthesize that into digestible information,\u0026rdquo; said Thakkar, who currently works in the\u0026nbsp;\u003Ca href=\u0022http:\/\/hpcgarage.org\/wp\/\u0022\u003EHPC Garage research lab.\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThakkar joined the HPC Garage, led by Vuduc, one year ago when pursuing research in sparse linear algebra \u0026ndash; Vuduc\u0026rsquo;s area of expertise. However, a few weeks into the independent study, Vuduc approached Thakaar about an opportunity to work with the ORNL team as a CUDA developer. Since then, Thakkar\u0026rsquo;s research emphasis has focused on facilitating this robust project.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;To me, this project boils down to a very important issue which is that as technological progress becomes faster and faster, for each individual scientist, there is too much information out there to distill into something that is comprehensible. Making connections between different research groups gets harder and harder to do, stalling the progress science can make,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this initial project, the team is focusing on processing the articles across\u0026nbsp;\u003Ca href=\u0022https:\/\/pubmed.ncbi.nlm.nih.gov\/\u0022\u003EPubMed\u003C\/a\u003E\u0026nbsp;as a particular case study. PubMed is a database of biomedical literature maintained by the National Library of Medicine and currently hosts approximately 18 million papers.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBy mining key terms in the papers\u0026rsquo; abstracts, the team is able to turn each term into a point, or vertex, in a large-scale graph.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;A term might be the name of a drug or a disease or a symptom, for instance. When two terms appear in the same paper, that means we know there is a direct relationship between them, which becomes an edge in the graph,\u0026rdquo; said Vuduc.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBut just because two terms are not directly linked does not mean they are unrelated; it only means they are not known yet. To find these as-yet undiscovered connections, the idea is to look for short paths that bridge two terms.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EVuduc said, \u0026ldquo;A useful analogy might be the following: Suppose you are driving from point A to point B. Maybe you know one path to get there. But what if there is a better, shorter way? That\u0026rsquo;s what this method does. Points are these biological or medical terms or concepts, and road segments are the papers that correspond to known routes. It\u0026rsquo;s the unknown routes that are interesting.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese paths are analyzed using a shortest path algorithm referred to as DSNAPSHOT. While shortest path algorithms are not a new concept and are fairly common, the scale at which this particular shortest path algorithm is applied is unheard of.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;If you think about it, six million papers may seem like a small number, but the size of the problem is not really six million. It\u0026rsquo;s six million times six million because in the worst-case scenario, each paper can have at least one connection to every paper in the database and that is where the complexity of the problem comes from,\u0026rdquo; said Thakkar.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHowever, according to Thakkar, the problem is more complex and more difficult to solve than this example \u0026ndash; even with today\u0026rsquo;s supercomputers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It\u0026rsquo;s a much harder problem because you\u0026rsquo;re visiting each vertex once making this a V\u003Csup\u003E3\u003C\/sup\u003E\u0026nbsp;problem. At the scales we are talking about, this is 18 million times 18 million times 18 million and those orders of magnitude add up really quickly, which is why we need something like the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.olcf.ornl.gov\/summit\/\u0022\u003ESummit Supercomputer\u003C\/a\u003E\u0026nbsp;to crunch these numbers,\u0026rdquo; Thakkar said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor the team\u0026rsquo;s first finalist run of 4 million papers it took 30 minutes to compute using over twenty-four thousand GPUs of the Summit machine. What\u0026rsquo;s more, the time this type of problem will require to solve will continue to grow in a cubic manner with each paper added to PubMed database.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/gtsc20\/research\/\u0022\u003Eannouncement of the Gordon Bell Prize winner\u003C\/a\u003E\u0026nbsp;will be made at the 2020 Supercomputing Conference award ceremony held, Nov. 19 at 2 p.m. EST.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Graduate Student Vijay Thakkar and Associate Professor Rich Vuduc helps define cutting-edge high performance computing process to connect concepts across bodies of work"}],"uid":"34540","created_gmt":"2020-11-17 18:51:47","changed_gmt":"2020-11-17 18:52:14","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-11-17T00:00:00-05:00","iso_date":"2020-11-17T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"641384":{"id":"641384","type":"image","title":"DNSAPSHOT","body":null,"created":"1605638868","gmt_created":"2020-11-17 18:47:48","changed":"1605638868","gmt_changed":"2020-11-17 18:47:48","alt":"DSNAPSHOT: 4x4 quadrant showing papers and concepts","file":{"fid":"243730","name":"Screen Shot 2020-11-17 at 1.46.48 PM.png","image_path":"\/sites\/default\/files\/images\/Screen%20Shot%202020-11-17%20at%201.46.48%20PM.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Screen%20Shot%202020-11-17%20at%201.46.48%20PM.png","mime":"image\/png","size":13586,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Screen%20Shot%202020-11-17%20at%201.46.48%20PM.png?itok=dvqUcRSH"}}},"media_ids":["641384"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"702","name":"hpc"},{"id":"3427","name":"High performance computing"},{"id":"186293","name":"Vijay Thakkar"},{"id":"46001","name":"Rich Vuduc"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"641236":{"#nid":"641236","#data":{"type":"external_news","title":"ML@GT Further Establishes Itself in Natural Language Processing Community","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-11-11 19:28:02","changed_gmt":"2020-11-11 19:28:02","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/b.gatech.edu\/37zn5UT","dateline":{"date":"2020-11-11T00:00:00-05:00","iso_date":"2020-11-11T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"641087":{"#nid":"641087","#data":{"type":"news","title":"High-Performance Computing for All, Everywhere","body":[{"value":"\u003Cp\u003EAs big data dominates our markets, the need to assemble and analyze data efficiently has driven high-Performance Computing (HPC) out of research silos and into many public and private enterprises.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe\u0026nbsp;\u003Ca href=\u0022https:\/\/sc20.supercomputing.org\/\u0022\u003ESupercomputing Conference\u003C\/a\u003E\u0026nbsp;(SC), held from Nov. 9 to 19, is the premier event for this rapidly growing field. Mathematicians, engineers, and developers come together to present the most groundbreaking HPC research, and each year, the Georgia Tech name is one of the leading names in those presentations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlthough it is being hosted virtually, this year is no different for SC20 presentations. With\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/gtsc20\/research\/\u0022\u003Eseveral papers, awards, and workshops,\u003C\/a\u003E\u0026nbsp;Georgia Tech, represented by the School of Computational Science and Engineering (CSE), Partnership for Advanced Computing Environment\u0026nbsp;(PACE), School of Computer Science (SCS), and the Georgia Tech Research Institute,\u0026nbsp;is leading charge in the HPC discussion.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis year, Georgia Tech\u0026rsquo;s SC20 proceedings includes two notable awards.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESCS Chair\u0026nbsp;\u003Cstrong\u003EVivek Sarkar\u003C\/strong\u003E\u0026nbsp;is being recognized with the\u0026nbsp;\u003Ca href=\u0022https:\/\/awards.acm.org\/kennedy\u0022\u003EACM-IEEE CS Ken Kennedy Award\u003C\/a\u003E, Nov. 16. Sarkar\u0026rsquo;s recognition honors his leadership in several areas including foundational technical contributions to programmability and productivity.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E[Related News:\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/640112\/acmieee-recognizes-chairs-research-service-computer-science-community\u0022\u003E\u003Cstrong\u003EACM\/IEEE Recognizes Chair\u0026#39;s Research, Service to Computer Science Community\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E]\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECSE Ph.D. student\u0026nbsp;\u003Cstrong\u003EVijay Thakkar\u003C\/strong\u003E\u0026nbsp;and Professor\u0026nbsp;\u003Cstrong\u003ERich Vuduc\u0026nbsp;\u003C\/strong\u003Eare being recognized with a\u0026nbsp;\u003Ca href=\u0022https:\/\/sc20.supercomputing.org\/program\/awards\/#schedule\u0022\u003EGordon Bell Prize nomination\u003C\/a\u003E\u0026nbsp;for their paper,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.zenodo.org\/record\/3980252#.X6H-YC2z10t\u0022\u003E\u003Cem\u003EScalable Knowledge Graph Analytics at 136 PetaFLOPS\u003C\/em\u003E\u003C\/a\u003E\u003Cem\u003E.\u003C\/em\u003E\u0026nbsp;Their work, developed with a team from Oak Ridge National Laboratory, is motivated by data mining large-scale bodies of scholarly publications to discover concepts that relate to one another. The\u0026nbsp;\u003Ca href=\u0022https:\/\/sc20.supercomputing.org\/program\/awards\/#schedule\u0022\u003Eannouncement of the Gordon Bell Prize winner for 2020\u003C\/a\u003E\u0026nbsp;will be held, Nov. 19 from 2 to 2:30 p.m. EST.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAn invited talk by SCS and School of Electrical and Computer Engineering Professor\u0026nbsp;\u003Cstrong\u003ETom Conte\u003C\/strong\u003E\u0026nbsp;is another notable agenda item. Conte\u0026rsquo;s talk,\u0026nbsp;\u003Ca href=\u0022https:\/\/sc20.supercomputing.org\/?post_type=page\u0026amp;p=3479\u0026amp;id=inv110\u0026amp;sess=sess298\u0022 target=\u0022_blank\u0022\u003E\u003Cem\u003EHPC After Moore\u0026rsquo;s Law\u003C\/em\u003E\u003C\/a\u003E, discusses the post-Moore computing era as seen from the\u0026nbsp;\u003Ca href=\u0022https:\/\/rebootingcomputing.ieee.org\/\u0022\u003EIEEE Rebooting Computing Initiative\u003C\/a\u003E\u0026nbsp;perspective and presents promising technologies to keep a close eye on.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EExcitingly, Georgia Tech students are also participating in a virtual\u0026nbsp;\u003Ca href=\u0022https:\/\/sc20.supercomputing.org\/program\/studentssc\/student-cluster-competition\/\u0022\u003Estudent cluster competition\u003C\/a\u003E\u0026nbsp;(VSCC) this year. While this event hosts the non-stop 72-hour track of a traditional hackathon, the VSCC separates itself from the rest in that the students prepare up to 6 months in advance for the competition.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Georgia Tech team,\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/gtsc20\/team-phoenix\/\u0022\u003ETeam Phoenix\u003C\/a\u003E, with sponsorship from vendor partner\u0026nbsp;\u003Ca href=\u0022https:\/\/www.penguincomputing.com\/\u0022 target=\u0022_blank\u0022\u003EPenguin Computing,\u003C\/a\u003E\u0026nbsp;will\u0026nbsp;compete with students from around the globe to complete a set of benchmarks and real-world scientific workloads from Nov. 8 to 11. Each team is tasked to design and build virtual clusters in the Microsoft Azure cloud, learn scientific applications, and apply optimization techniques for their chosen cloud configurations. Daily video interviews with the team can be\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/gtsc20\/events\/\u0022\u003Ewatched here.\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile the conference\u0026rsquo;s papers, presentations, and competitions are underway, this extraordinary year has required extraordinary efforts to transcend the physical conference barriers. With its first ever fully virtual format, SC20\u0026rsquo;s platform is bringing the HPC discussion into the hands of more than ever before.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo capitalize on this opportunity of enhancing equity in HPC, Georgia Tech is hosting special virtual programming to run parallel to the SC20 agenda. This programming includes\u0026nbsp;a\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/gtsc20\/gtsc20-virtual-party\/\u0022\u003Evirtual party and poster show\u003C\/a\u003E\u0026nbsp;that is open to the public \u0026ndash; while space lasts \u0026ndash; and a 360-degree data center tour.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe virtual data center tour will be featured on the\u0026nbsp;\u003Ca href=\u0022https:\/\/pace.gatech.edu\/\u0022\u003EPACE website\u003C\/a\u003E\u0026nbsp;and allows users to navigate through Georgia Tech\u0026rsquo;s premier data center housed at the Coda Building. While walking through the data center, viewers will see the Institute\u0026rsquo;s two premier HPC resources, the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/629130\/hive-supercomputer-makes-its-debut\u0022\u003EHive supercomputer\u003C\/a\u003E\u0026nbsp;and the newly installed Phoenix cluster.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech presents leading high-performance computing research and events at this year\u0027s Supercomputing Conference"}],"uid":"34540","created_gmt":"2020-11-06 19:42:57","changed_gmt":"2020-11-06 19:43:17","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-11-06T00:00:00-05:00","iso_date":"2020-11-06T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"641086":{"id":"641086","type":"image","title":"GT@SC20 logo","body":null,"created":"1604691617","gmt_created":"2020-11-06 19:40:17","changed":"1604691617","gmt_changed":"2020-11-06 19:40:17","alt":"GT@SC20 Logo","file":{"fid":"243631","name":"GT@SC20 Logo.jpg","image_path":"\/sites\/default\/files\/images\/GT%40SC20%20Logo.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/GT%40SC20%20Logo.jpg","mime":"image\/jpeg","size":274270,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/GT%40SC20%20Logo.jpg?itok=iFTM2HBa"}}},"media_ids":["641086"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"702","name":"hpc"},{"id":"3427","name":"High performance computing"},{"id":"167322","name":"supercomputing"},{"id":"186227","name":"SC20"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003Ekristen.perez@cc.gatech.edu\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"640990":{"#nid":"640990","#data":{"type":"external_news","title":"Thought Leaders to Address How Bias and Lack of Diversity Impact Data, Software, and Institutions","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-11-05 14:36:35","changed_gmt":"2020-11-05 14:36:35","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/bit.ly\/34PIcQL","dateline":{"date":"2020-11-05T00:00:00-05:00","iso_date":"2020-11-05T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"640835":{"#nid":"640835","#data":{"type":"news","title":"Why is This New Deep Learning Visualization Going Viral?","body":[{"value":"\u003Cp\u003EInteractive visualizations are quickly becoming a favorite tool to help teach and learn deep learning subjects. One visualization in particular is rising to the top of\u0026nbsp;\u003Ca href=\u0022https:\/\/github.com\/poloclub\/cnn-explainer\u0022\u003EGitHub\u003C\/a\u003E, Twitter, and LinkedIn as a standout resource to understand Convolutional Neural Networks (CNNs).\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECreated by Georgia Tech and Oregon State University researchers over the course of a year,\u0026nbsp;\u003Ca href=\u0022https:\/\/poloclub.github.io\/cnn-explainer\/\u0022\u003ECNN Explainer\u003C\/a\u003E\u0026nbsp;is a robust interactive visualization tool uniquely developed for deep learning beginners.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBy combining visualizations, animation, and transitions, CNN Explainer\u0026nbsp;enables users to inspect the interplay between low-level mathematical operations and high-level model structures. Presenting views with different level of details\u0026nbsp;gives users control over what technique they focus on and allows them to transition to others when they are ready.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;While there are other existing tools that help explain CNNs for beginners, this tool is quite different in how comprehensive its depth is and how it combines everything together,\u0026rdquo; said\u0026nbsp;\u0026nbsp;\u003Ca href=\u0022https:\/\/zijie.wang\/\u0022\u003E\u003Cstrong\u003EZijie Jay Wang\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E,\u003C\/strong\u003E\u0026nbsp;the primary investigator of this work.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Some tools only explain high level structures while others only focus on low level mathematical instruction. We wanted to build a tool that could integrate everything together and use transitions to help users navigate through different structures and their levels of detail,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile CNN Explainer was originally created with students and deep learning instructors in mind, general professionals and avid deep learning professionals are also showing excitement and interest in this new tool.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Many professionals who want to find out more about deep learning, and machine learning are accessing and using CNN Explainer, and it is helping them get started in this field. Meanwhile, avid deep learning practitioners have been adapting CNN Explainer to debug their own models,\u0026rdquo; said Wang.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe traction CNN Explainer has gained across web communities is another undeniable testament to its usability and need. Since its public release on May 1st, it has received almost\u0026nbsp;5000\u0026nbsp;GitHub stars and an average of\u0026nbsp;300\u0026nbsp;daily visitors from more than\u0026nbsp;80\u0026nbsp;countries.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The success of CNN Explainer has really shown me how the power of visualization can help people interact with their machine learning models,\u0026rdquo; continued Wang. \u0026ldquo;It is a very good interface for both beginners and experts, and in the future, I will try to design more tools for all levels to help them interpret, debug, and understand their models.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECurrently, CNN Explainer has also become a popular tool in deep learning courses\u0026mdash;used by instructors from Georgia Tech, University of Wisconsin\u0026ndash;Madison, University of Tokyo, and more.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/www.ic.gatech.edu\/\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E\u0026nbsp;Associate Professor\u0026nbsp;and\u0026nbsp;\u003Ca href=\u0022https:\/\/research.facebook.com\/ai\/\u0022\u003EFacebook AI\u0026nbsp;\u003C\/a\u003EResearch Scientist\u0026nbsp;\u003Cstrong\u003EDhruv Batra\u003C\/strong\u003E\u0026nbsp;is an early adopter of this tool and currently uses the tool in his Intro to Perception and Robotics course at Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Batra, \u0026ldquo;I have used CNN Explainer and other visualization tools created by the\u0026nbsp;\u003Ca href=\u0022https:\/\/poloclub.github.io\/\u0022\u003EPolo Club of Data Science\u003C\/a\u003E\u0026nbsp;in my class. I find such visualizations to be highly valuable in explaining ostensibly complicated concepts in a simple visual way.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I am visual learner myself; if I can picture things like the flow of spatial feature maps in a CNN, I can understand the concepts easily. And plenty of research in pedagogy suggests that I am not atypical. In CS 4803\/7643 Deep Learning, I augment formal mathematical description with such visualizations, and I am highly appreciative of tools like the CNN Explainer,\u0026rdquo; said Batra.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2004.15004\u0022\u003Epaper outlining CNN Explainer\u0026rsquo;s process and programming\u003C\/a\u003E\u0026nbsp;will be presented at the top visualization conference,\u0026nbsp;\u003Ca href=\u0022http:\/\/ieeevis.org\/year\/2020\/welcome\u0022\u003EIEEE VIS 2020\u003C\/a\u003E. It is also among the selected VIS papers published at\u0026nbsp;\u003Ca href=\u0022https:\/\/www.computer.org\/csdl\/journal\/tg\u0022\u003E\u003Cem\u003EIEEE Transactions on Visualization and Computer Graphics\u003C\/em\u003E\u003C\/a\u003E, the top visualization journal.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Built by the team of eight over the course of a year, CNN Explainer\u2019s robust programming is uniquely developed for both the novice and veteran deep learning researcher."}],"uid":"34540","created_gmt":"2020-10-30 18:10:03","changed_gmt":"2020-10-30 18:10:31","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-10-30T00:00:00-04:00","iso_date":"2020-10-30T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"640832":{"id":"640832","type":"image","title":"CNN Explainer","body":null,"created":"1604080887","gmt_created":"2020-10-30 18:01:27","changed":"1604080887","gmt_changed":"2020-10-30 18:01:27","alt":"Image of a convolutional neural network interactive visualization","file":{"fid":"243561","name":"CNN Explainer.png","image_path":"\/sites\/default\/files\/images\/CNN%20Explainer.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/CNN%20Explainer.png","mime":"image\/png","size":1793574,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/CNN%20Explainer.png?itok=tv1QAPwO"}}},"media_ids":["640832"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"38921","name":"data visualization"},{"id":"186137","name":"CNN Explainer"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"640793":{"#nid":"640793","#data":{"type":"news","title":"Georgia Tech Researchers Contribute 13 Papers to Premier Visualization Conference","body":[{"value":"\u003Cp\u003EGeorgia Tech contributed to 13 papers and two workshops this week at \u003Ca href=\u0022http:\/\/ieeevis.org\/year\/2020\/welcome\u0022\u003EIEEE VIS 2020\u003C\/a\u003E, the premier forum for advances in theory, methods, and applications of visualization and visual analytics.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe conference highlights research from universities, government, and industry around the world. It is comprised of three separate events: IEEE Visual Analytics Science and Technology (VAST), IEEE Information Visualization (InfoVis), and IEEE Scientific Visualization (SciVis). Like other conferences throughout the Covid-19 pandemic, VIS was held virtually.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech\u0026rsquo;s research was highlighted by one Best Paper Honorable Mention titled \u003Cem\u003EMapping Researchers with PeopleMap\u003C\/em\u003E. The paper \u0026ndash; authored by \u003Cstrong\u003EJon Saad-Falcon\u003C\/strong\u003E, \u003Cstrong\u003EOmar Shaikh\u003C\/strong\u003E, \u003Cstrong\u003EZijie J. Wang\u003C\/strong\u003E, \u003Cstrong\u003EAustin P. Wright\u003C\/strong\u003E, \u003Cstrong\u003ESasha Richardson\u003C\/strong\u003E, and \u003Cstrong\u003EPolo Chau\u003C\/strong\u003E \u0026ndash; presents an open-source interactive tool that uses natural language processing to create visual maps for researchers based on their research interests and publications.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Discovering research expertise at universities can be a difficult task,\u0026rdquo; the paper contends. \u0026ldquo;Directories routinely become outdated, and few help in visually summarizing researchers\u0026rsquo; work or supporting the exploration of shared interests among researchers. This results in lost opportunities for both internal and external entities to discover new connections, nurture research collaboration, and explore the diversity of research.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe paper also received a VAST Poster Research Award.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlso of note, new School of Computational Science \u0026amp; Engineering Chair \u003Cstrong\u003EHaesun Park\u003C\/strong\u003E received recognition for a 2010 IEEE VAST Paper. The paper received a Test of Time Award, recognizing it for continued contributions to the visual analytics and visualization community. The paper is titled \u003Cem\u003EiVisClassifier: An Interactive Visual Analytics System for Classification Based on Supervised Dimension Reduction\u003C\/em\u003E and co-authored by \u003Cstrong\u003EJaegul Choo\u003C\/strong\u003E, \u003Cstrong\u003EHanseung Lee\u003C\/strong\u003E, and \u003Cstrong\u003EJaeyeon Kihm\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Interactive Computing Ph.D. student \u003Cstrong\u003EEmily Wall\u003C\/strong\u003E, who is advised by Associate Professor \u003Cstrong\u003EAlex Endert\u003C\/strong\u003E, was also recognized with the VGTC Outstanding Dissertation Honorable Mention for her work \u003Cem\u003EDetecting and Mitigating Human Bias in Visual Analytics\u003C\/em\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;People are susceptible to a multitude of biases, including perceptual biases and illusions; cognitive biases like confirmation bias or anchoring bias; and social biases like racial or gender bias that are borne of cultural experiences and stereotypes,\u0026rdquo; Wall contends. \u0026ldquo;As humans are an integral part of data analysis and decision making in many domains, their biases can be injected into and even amplified by models and algorithms.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHer work aims to develop a better understanding of the role human bias plays in visual data analysis by defining bias, detecting bias, and mitigating bias.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EExplore more about Georgia Tech\u0026rsquo;s contributions to IEEE VIS at the links below, or visit the \u003Ca href=\u0022http:\/\/vis.gatech.edu\/\u0022\u003EGeorgia Tech Visualization Lab\u003C\/a\u003E. You can follow the lab on Twitter at \u003Ca href=\u0022https:\/\/twitter.com\/GT_Vis\u0022\u003E@GT_Vis\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EGeorgia Tech at IEEE VIS 2020\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPapers\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2007.15832\u0022\u003ESafetyLens: Visual Data Analysis of Functional Safety of Vehicles (Arpit Narechania, Ahsan Qamar, and Alex Endert)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/nl4dv.github.io\/nl4dv\/\u0022\u003ENL4DV: A Toolkit for Generating Analytic Specifications for Data Visualization from Natural Language Queries (Arpit Narechania, Arjun Srinivasan, and John Stasko)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arjun010.github.io\/individual-projects\/databreeze.html\u0022\u003EInterweaving Multimodal Interaction with Flexible Unit Visualizations for Data Exploration (Arjun Srinivasan, Bongshin Lee, and John Stasko)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/terrancelaw.github.io\/publications\/data_insight_interviews_vis20.pdf\u0022\u003EWhat are Data Insights to Professional Visualization Users? (Po-Ming Law, Alex Endert, and John Stasko)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/terrancelaw.github.io\/publications\/auto_insights_vis20.pdf\u0022\u003ECharacterizing Automated Data Insights (Po-Ming Law, Alex Endert, and John Stasko)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2004.15004\u0022\u003ECNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization (Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng (Polo) Chau)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2009.02608\u0022\u003EBluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks (Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng (Polo) Chau)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/poloclub.github.io\/papers\/20-vis-ganlabeval.pdf\u0022\u003EHow Does Visualization Help People Learn Deep Learning? Evaluating GAN Lab with Observational Study and Log Analysis (Minsuk Kahng, Duen Horng (Polo) Chau)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2009.00091\u0022\u003EMapping Researchers with PeopleMap (Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng (Polo) Chau)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/gtvalab.github.io\/files\/legion.pdf\u0022\u003ELEGION: Visually compare modeling techniques for regression (Subhajit Das, Alex Endert)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/gtvalab.github.io\/files\/cava_dataaug.pdf\u0022\u003ECAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs (Dylan Cashman, Shenyu Xu, Subhajit Das, Florian Heimerl, Cong Liu, Shah Rukh Humayoun, Michael Gleicher, Alex Endert, Remco Chang)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003EA Comparative Analysis of Industry Human-AI Interaction Guidelines (Austin P. Wright, Zijie J. Wang, Haekyu Park, Grace Guo, Fabian Sperrle, Mennatallah El-Assady, Alex Endert, Daniel Keim, Duen Horng (Polo) Chau)\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/trexvis.github.io\/Workshop2020\/papers\/Coscia.pdf\u0022\u003EToward A Bias-Aware Future for Mixed Initiative Visual Analytics (Adam Coscia, Duen Horng (Polo) Chau, Alex Endert)\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ERecognitions\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~hpark\/papers\/choo_vast10_v1.pdf\u0022\u003EiVisClassifier: an Interactive Visual Analytics System for Classification Based on Supervised Dimension Reduction (Jaegul Choo, Hanseung Lee, Jaeyeon Kihm and Haesun Park)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/smartech.gatech.edu\/handle\/1853\/63597\u0022\u003EDetecting and Mitigating Human Bias in Visual Analytics (Emily Wall (Advisor: Alex Endert))\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWorkshops\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EMoVIS \u0026#39;20 (Organizers: Clio Andris, Somayeh Dodge, Alan MacEachren)\u003C\/li\u003E\r\n\t\u003Cli\u003EVISxAI \u0026#39;20 (Organizers: Adam Perer, Duen Horng (Polo) Chau, Fred Hohman, Hendrik Strobelt, Mennatallah El-Assady)\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"IEEE VIS highlights research from universities, government, and industry around the world."}],"uid":"33939","created_gmt":"2020-10-30 04:41:57","changed_gmt":"2020-10-30 04:41:57","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-10-30T00:00:00-04:00","iso_date":"2020-10-30T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"640792":{"id":"640792","type":"image","title":"Georgia Tech at IEEE VIS 2020","body":null,"created":"1604032582","gmt_created":"2020-10-30 04:36:22","changed":"1604032582","gmt_changed":"2020-10-30 04:36:22","alt":"Georgia Tech at IEEE VIS 2020","file":{"fid":"243550","name":"Screen Shot 2020-10-30 at 12.34.13 AM.png","image_path":"\/sites\/default\/files\/images\/Screen%20Shot%202020-10-30%20at%2012.34.13%20AM.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Screen%20Shot%202020-10-30%20at%2012.34.13%20AM.png","mime":"image\/png","size":244701,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Screen%20Shot%202020-10-30%20at%2012.34.13%20AM.png?itok=xIsvy28M"}}},"media_ids":["640792"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"186124","name":"cc-research; ic-ai-ml; ic-hcc; ic-social-computing; ic-visualization"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"640205":{"#nid":"640205","#data":{"type":"news","title":"New CRNCH Co-Director Tackles Post-Moore Computing with HPC in Mind","body":[{"value":"\u003Cp\u003E\u0026ldquo;Everything in hardware might change, so what does that mean for everything on top?\u0026rdquo; asked\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;Professor\u0026nbsp;\u003Cstrong\u003ERich Vuduc\u003C\/strong\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EVuduc is the newly appointed co-director of the\u0026nbsp;\u003Ca href=\u0022http:\/\/crnch.gatech.edu\/\u0022\u003ECenter for Research into Novel Computing Hierarchies\u003C\/a\u003E(CRNCH), a unit built on the mission of reexamining and building computing technologies for the post-Moore computing era. He is succeeding CRNCH Co-Director\u0026nbsp;\u003Cstrong\u003EVivek Sarkar\u003C\/strong\u003E\u0026nbsp;and will direct the center alongside\u0026nbsp;\u003Ca href=\u0022https:\/\/www.scs.gatech.edu\/\u0022\u003ESchool of Computer Science\u003C\/a\u003E\u0026nbsp;and\u0026nbsp;\u003Ca href=\u0022https:\/\/www.ece.gatech.edu\/\u0022\u003ESchool of Electrical and Computer Engineering\u003C\/a\u003E\u0026nbsp;Professor\u0026nbsp;\u003Cstrong\u003ETom Conte\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;CRNCH was conceived as a center for post-Moore computing that spans the entire computing stack, including hardware, software, and algorithms. Rich\u0026#39;s expertise in high-performance computing (HPC) algorithms and performance engineering will further contribute to CRNCH\u0026#39;s success in this broad vision,\u0026rdquo; said\u0026nbsp;Sarkar.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPost-Moore Computing\u0026rsquo;s Challenges\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In HPC especially, we are in a crazy time right now. Basically, for the last 50 years, we got a free ride. Computers got faster every year, and this transformed entire industries,\u0026rdquo; said Vuduc.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe improvements Vuduc is referring to, came about from the ability to make transistors smaller each year, allowing for faster computing year-over-year. The problem computing is facing now is that the scientific community does not know how to make transistors any smaller, and there is no defined way to move forward.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Vuduc, \u0026ldquo;It\u0026rsquo;s an incredibly fertile time to be exploring all kinds of wacky, very radical new ways of thinking about computing systems and how we might build them. And CRNCH has been investigating these questions since it was launched in 2016.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBringing a Fresh Perspective to the Center\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFrom the way algorithms are designed to the way machines are programmed, software is still being built around the 1970s concept of a general-purpose computer.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;A lot of people are working to figure out what the physical and logical form of the computer is going to look like in the future. But a related question is, \u0026lsquo;What is the thing that is going to run on top?\u0026rsquo;\u0026rdquo; said Vuduc.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In my joining CRNCH, I hope to think a lot more about those kinds of issues. That\u0026rsquo;s why I think this new role is exciting.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBuilding a CRNCH Community\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn his new role, Vuduc wants to launch projects with the goal of developing algorithms and applications to run on these hypothetical future systems. However, his long-term goals are considerably more community focused.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECurrently, he is hoping to excite a critical mass of people at Georgia Tech to begin thinking about the types of problems associated with post-Moore computing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;From my point of view, the most exciting thing would be if we can bring new people on board, whether it be new faculty or students, to really think about these upper levels in the \u0026lsquo;computing stack.\u0026rsquo; What are the kinds of applications and algorithms that we might run on these future machines?\u0026rdquo; he said.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"School of Computational Science and Engineering Professor Rich Vuduc is named co-direct of the Center for Research into Novel Computing Hierarchies"}],"uid":"34540","created_gmt":"2020-10-14 17:22:34","changed_gmt":"2020-10-14 18:02:34","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-10-14T00:00:00-04:00","iso_date":"2020-10-14T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"640206":{"id":"640206","type":"image","title":"Rich Vuduc_2020","body":null,"created":"1602697732","gmt_created":"2020-10-14 17:48:52","changed":"1602697732","gmt_changed":"2020-10-14 17:48:52","alt":"Headshot of man in collard shirt wearing glasses","file":{"fid":"243360","name":"rich vuduc_MG_0912[2].jpg","image_path":"\/sites\/default\/files\/images\/rich%20vuduc_MG_0912%5B2%5D.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/rich%20vuduc_MG_0912%5B2%5D.jpg","mime":"image\/jpeg","size":2277380,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/rich%20vuduc_MG_0912%5B2%5D.jpg?itok=qGDkNK0p"}}},"media_ids":["640206"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"186036","name":"post-more computing"},{"id":"167010","name":"crnch"},{"id":"186037","name":"vuduc"},{"id":"702","name":"hpc"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"639954":{"#nid":"639954","#data":{"type":"external_news","title":"NYT R\u0026D Team to Discuss Technology\u2019s Impact on Journalism in Live, Virtual Event","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-10-07 13:39:54","changed_gmt":"2020-10-07 13:40:18","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/bit.ly\/3iEyVyD","dateline":{"date":"2020-10-07T00:00:00-04:00","iso_date":"2020-10-07T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[{"id":"133","name":"Special Events and Guest Speakers"}],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"639695":{"#nid":"639695","#data":{"type":"news","title":"Record Number of Students Attend Largest Women in Technology Conference","body":[{"value":"\u003Cp\u003EThe College of Computing is sending more than 100 students to the \u003Ca href=\u0022https:\/\/ghc.anitab.org\/\u0022\u003EGrace Hopper Celebration (GHC)\u003C\/a\u003E from Sept. 29 to Oct. 3. \u0026nbsp;Many are attending the annual conference for the first time.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlthough all virtual this year, it\u0026rsquo;s still one of largest gatherings of women in computing with more than 30,000 people from 115 countries representing academia and industry.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThanks to scholarships from the College, 63 undergraduate students, 32 master\u0026rsquo;s students, six Online Master\u0026rsquo;s of Science in Computer Science (OMSCS) students, and 12 Ph.D. students are able to attend.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThey have the opportunity to watch more than 200 panels and keynotes. Some highlights from Georgia Tech include a fireside chat with \u003Cstrong\u003EJoy Buolamwini\u003C\/strong\u003E, an alumna and founder of the \u003Ca href=\u0022https:\/\/www.ajl.org\/\u0022\u003EAlgorithmic Justice League\u003C\/a\u003E, on \u003Cem\u003E\u003Ca href=\u0022https:\/\/web.cvent.com\/event\/84f26b13-25ef-458c-9d38-38432d71be09\/websitePage:645d57e4-75eb-4769-b2c0-f201a0bfc6ce\u0022\u003EDecoding Bias\u003C\/a\u003E\u003C\/em\u003E on Oct. 3.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe \u003Ca href=\u0022http:\/\/constellations.gatech.edu\/\u0022\u003EConstellations Center for Equity in Computing\u003C\/a\u003E\u0026rsquo;s Director of Educational Innovation and Leadership \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/lien-diaz-0\u0022\u003E\u003Cstrong\u003ELien Diaz\u003C\/strong\u003E\u003C\/a\u003E joins the panel \u003Cem\u003E\u003Ca href=\u0022https:\/\/web.cvent.com\/event\/84f26b13-25ef-458c-9d38-38432d71be09\/websitePage:645d57e4-75eb-4769-b2c0-f201a0bfc6ce\u0022\u003ESeeing Beyond Yourself: Effective Allyship, Advocacy, and Activism for Women in Computing\u003C\/a\u003E\u003C\/em\u003E on Sept. 29.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I am particularly interested in the wide array of topics that GHC speakers will be addressing from tech careers to applications of machine learning and artificial intelligence,\u0026rdquo; said OMSCS student \u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/michelleadea\/\u0022\u003E\u003Cstrong\u003EMichelle Adea\u003C\/strong\u003E\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe conference is just as much about networking as learning. As a silver-level sponsor, the College will connect with prospective students.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESome students are excited to meet other women in computing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I\u0026rsquo;m looking forward to engaging with other like-minded women in different career positions and levels of education and making connections,\u0026rdquo; said undergraduate \u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/rashmi-athavale\/\u0022\u003E\u003Cstrong\u003ERashmi Athavale\u003C\/strong\u003E\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The College of Computing is sending more than 100 students to the Grace Hopper Celebration (GHC) from Sept. 29 to Oct. 3."}],"uid":"34541","created_gmt":"2020-09-29 15:57:56","changed_gmt":"2020-09-29 16:08:34","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-09-29T00:00:00-04:00","iso_date":"2020-09-29T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"639696":{"id":"639696","type":"image","title":"GHC 2019","body":null,"created":"1601395682","gmt_created":"2020-09-29 16:08:02","changed":"1601395682","gmt_changed":"2020-09-29 16:08:02","alt":"GHC panel","file":{"fid":"243201","name":"IMG_1755 copy.jpg","image_path":"\/sites\/default\/files\/images\/IMG_1755%20copy.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/IMG_1755%20copy.jpg","mime":"image\/jpeg","size":365938,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/IMG_1755%20copy.jpg?itok=5wvNEkgn"}}},"media_ids":["639696"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"639225":{"#nid":"639225","#data":{"type":"news","title":"Finally, A Site that Crops Headshots Instantly (Without Sharing Your Photos)","body":[{"value":"\u003Cp\u003EFrom social media to professional directories, the number of photos to edit \u0026ndash; and the time you spend editing them \u0026ndash; can feel endless. Now, rather than downloading yet another app that uses your data, you can use\u0026nbsp;\u003Ca href=\u0022https:\/\/poloclub.github.io\/magic-crop\/\u0022 title=\u0022https:\/\/poloclub.github.io\/magic-crop\/\u0022\u003EMagic Crop\u003C\/a\u003E\u0026nbsp;to get a perfectly cropped headshot.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMagic Crop is a web page that harnesses the power of artificial intelligence and photography\u0026rsquo;s rule of thirds to seamlessly and easily crop your photos into the perfect headshot. All the while, without sharing or storing your photos.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECollege of Computing first-year student\u0026nbsp;\u003Cstrong\u003EMegan Dass,\u003C\/strong\u003E\u0026nbsp;alongside School of Computational Science and Engineering Associate Professor\u0026nbsp;\u003Cstrong\u003EPolo Chau\u003C\/strong\u003E, created the web-based cropping tool in one week.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Every year, many new members join my research group and teaching team. We have to individually crop their photos so they have a uniform look and it is a lot of work,\u0026rdquo; Chau told Dass in their original correspondence about the project.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Dass, an avid social media user, there was an instant connection to the project.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I related right then and there because even when I have to crop something small like a headshot for social media, cropping is the worst part. I knew from my experience alone that this could help a lot of people if they could just drag a number of images onto a simple web page and instantly have perfectly cropped photos,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMagic Crop uses a\u0026nbsp;\u003Ca href=\u0022https:\/\/justadudewhohacks.github.io\/face-api.js\/docs\/index.html\u0022\u003Edeep neural network\u003C\/a\u003E\u0026nbsp;to detect where a human face is on an photo. What\u0026rsquo;s more, the neural network is compact enough that Magic Crop can download it to the user\u0026rsquo;s device. The users\u0026rsquo; photos never need to leave their devices, so there is no privacy concern with the page.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;\u003Ca href=\u0022https:\/\/poloclub.github.io\/\u0022\u003EOur group\u003C\/a\u003E\u0026nbsp;cares a lot about building tools that are as easy to use as possible. So, we were looking for a way of deploying this new technology that everyone, no matter their skill level, could use and have satisfactory results,\u0026rdquo; said Chau.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOf course, as with any editing software, there are boundaries for the existing site\u0026rsquo;s intuitive nature. The site is unable to determine which face needs to be cropped if a user uploads a photo with multiple people in it, and pixilation can happen to any photo if it is taken from too far away.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It\u0026rsquo;s a problem that we all face, and this is just a simple solution that can fix it easily,\u0026rdquo; said Dass.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChau hopes the project will be expanded in the future after gathering feedback on how best to develop the user experience.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It\u0026rsquo;s an iterative process. Currently, it is quite automated, but we might support extending to more sophisticated options on the site such as ratios,\u0026rdquo; he said.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Magic Crop harnesses the power of AI to create the first-ever site to instantly crop photos into headshots"}],"uid":"34540","created_gmt":"2020-09-17 18:11:28","changed_gmt":"2020-09-23 18:53:20","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-09-17T00:00:00-04:00","iso_date":"2020-09-17T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"639224":{"id":"639224","type":"image","title":"Magic Crop","body":null,"created":"1600366116","gmt_created":"2020-09-17 18:08:36","changed":"1600366116","gmt_changed":"2020-09-17 18:08:36","alt":"Magic Crop vector image on light pink background with photos shown being cropped to headshots","file":{"fid":"243043","name":"magic_crop.png","image_path":"\/sites\/default\/files\/images\/magic_crop.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/magic_crop.png","mime":"image\/png","size":404499,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/magic_crop.png?itok=qVHsOo9p"}}},"media_ids":["639224"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"185869","name":"Magic Crop"},{"id":"83261","name":"Polo Chau"},{"id":"185870","name":"Megan Dass"},{"id":"12185","name":"headshot"},{"id":"141081","name":"photo"},{"id":"2835","name":"ai"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"638748":{"#nid":"638748","#data":{"type":"external_news","title":"Meet ML@GT: Yuan Yang Looks to Find the \u2018Right\u2019 Problem to Solve","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-09-03 14:10:00","changed_gmt":"2020-09-03 14:10:00","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/bit.ly\/3lGhNLP","dateline":{"date":"2020-09-03T00:00:00-04:00","iso_date":"2020-09-03T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"638197":{"#nid":"638197","#data":{"type":"news","title":"School of Computational Science and Engineering Showcases Research at Premier Data Mining Conference","body":[{"value":"\u003Cp\u003EFor the first time in its 21-year history, the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.kdd.org\/kdd2020\/\u0022\u003EKnowledge Discovery and Large-scale Data Analytics Conference\u003C\/a\u003E\u0026nbsp;(SIGKDD) will be held virtually from Aug. 23 to 27. Despite its new socially-distanced format, SIGKDD will continue presenting the world\u0026rsquo;s premier data mining research, which will include highlights provided by Georgia Tech faculty and students.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis year, Georgia Tech\u0026rsquo;s presence is led by\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE) researchers, with CSE Assistant Professor\u0026nbsp;\u003Ca href=\u0022http:\/\/chaozhang.org\/\u0022\u003E\u003Cstrong\u003EChao Zhang\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;co-authoring four papers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn total, Georgia Tech faculty are set to present five papers next week during the conference\u0026rsquo;s technical proceedings and one paper as part of the workshop,\u0026nbsp;\u003Ca href=\u0022http:\/\/mason.gmu.edu\/~lzhao9\/venues\/DeepSpatial2020\/\u0022\u003EDeepSpatial\u003C\/a\u003E. These presentations offer proposals for a range of topics including\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2008.04063\u0022\u003Eonline frameworks for healthcare applications\u003C\/a\u003E\u0026nbsp;and\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2006.15509\u0022\u003Eimproving the prediction performance of named entity recognition models.\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs the pandemic lingers on and another election year looms, disease and misinformation on the web are two subjects that are top of everyone\u0026rsquo;s mind. In a timely fashion, CSE Assistant Professor\u0026nbsp;\u003Cstrong\u003ESrijan Kumar\u0026nbsp;\u003C\/strong\u003Eand CSE Associate Professor\u003Cstrong\u003E\u0026nbsp;B. Aditya Prakash\u0026nbsp;\u003C\/strong\u003Eare providing cutting-edge research that takes on these key issues.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKumar is helping lead a\u0026nbsp;\u003Ca href=\u0022https:\/\/truthdiscoverykdd2020.github.io\/\u0022\u003Eworkshop on ensuring web content credibility\u003C\/a\u003E\u0026nbsp;in an era of misinformation and techniques such as deep fakes. Kumar will provide an invited talk as part of the workshop at\u0026nbsp;2:45\u0026nbsp;p.m. PDT on Aug. 24,\u0026nbsp;to discuss emerging ideas and advances in malicious behavior detection and countering misinformation.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPrakash is orchestrating\u0026nbsp;the\u0026nbsp;\u003Ca href=\u0022https:\/\/epidamik.github.io\/\u0022\u003EInternational Workshop on Epidemiology meets Data Mining and Knowledge Discovery.\u003C\/a\u003E\u0026nbsp;This day-long workshop aims to gather leading epidemiologists in a discussion to develop theoretical principles and transformative computational approaches to address diseases through data mining and knowledge discovery methods.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnother workshop highlight includes a keynote talk by CSE Associate Professor and\u0026nbsp;\u003Ca href=\u0022https:\/\/mlatgt.blog\/\u0022\u003EMachine Learning Center at Georgia Tech\u003C\/a\u003E\u0026nbsp;Associate Director\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~lsong\/\u0022\u003E\u003Cstrong\u003ELe Song\u003C\/strong\u003E\u003C\/a\u003E.\u0026nbsp;Song\u0026nbsp;is set to present the keynote at\u0026nbsp;\u003Ca href=\u0022https:\/\/deep-learning-graphs.bitbucket.io\/dlg-kdd20\/#organization\u0022\u003EInternational Workshop on Deep Learning on Graphs: Methods and Applications\u003C\/a\u003E\u0026nbsp;on Aug. 24.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESee below for a full listing of KDD20 workshops Georgia Tech faculty are participating in:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/deep-learning-graphs.bitbucket.io\/dlg-kdd20\/#organization\u0022\u003E\u003Cem\u003EThe Second International Workshop on Deep Learning on Graphs: Methods and Applications\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/epidamik.github.io\/\u0022\u003E\u003Cem\u003EepiDAMIK 3.0: The 3rd International workshop on Epidemiology meets Data Mining and Knowledge Discovery\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/mlhat.org\/\u0022\u003E\u003Cem\u003EMLHat: The First International Workshop on Deployable Machine Learning for Security Defense\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/mason.gmu.edu\/~lzhao9\/venues\/DeepSpatial2020\/\u0022\u003E\u003Cem\u003EDeepSpatial 2020\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/truthdiscoverykdd2020.github.io\/\u0022\u003E\u003Cem\u003ETruth Discovery and Fact Checking workshop\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETo view the complete Georgia Tech at KDD20 research roundup,\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/sites.gatech.edu\/gtkdd2020\/\u0022\u003E\u003Cstrong\u003Eclick here.\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/mailchi.mp\/cc.gatech.edu\/kdd2019\u0022\u003E\u003Cstrong\u003E[Related Links: GT@KDD2019]\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/news\/609815\/georgia-tech-faculty-and-students-take-lead-kdd-2018-premier-data-mining-research\u0022\u003E\u003Cstrong\u003E[Related Links: GT@KDD2018]\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"KDD2020 is one of the world\u0027s premier data science conferences in the world and Georgia Tech faculty are presenting 5 leading research pages this week."}],"uid":"34540","created_gmt":"2020-08-21 18:21:16","changed_gmt":"2020-08-21 18:23:55","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-08-21T00:00:00-04:00","iso_date":"2020-08-21T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"638153":{"id":"638153","type":"image","title":"GT@KDD2020","body":null,"created":"1597948048","gmt_created":"2020-08-20 18:27:28","changed":"1597948048","gmt_changed":"2020-08-20 18:27:28","alt":"School of Computational Science and Engineering @KDD2020","file":{"fid":"242707","name":"ConferenceNewsImage.jpg","image_path":"\/sites\/default\/files\/images\/ConferenceNewsImage.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/ConferenceNewsImage.jpg","mime":"image\/jpeg","size":418579,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/ConferenceNewsImage.jpg?itok=kvrd4QXm"}}},"media_ids":["638153"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"92811","name":"data science"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"637999":{"#nid":"637999","#data":{"type":"external_news","title":"ML@GT Students Learn Valuable Skills from Internships Despite Participating Remotely","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-08-18 12:53:33","changed_gmt":"2020-08-18 12:53:33","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/bit.ly\/2YeaAIF","dateline":{"date":"2020-08-18T00:00:00-04:00","iso_date":"2020-08-18T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"}],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"637944":{"#nid":"637944","#data":{"type":"news","title":"Faculty Uses Computation to Understand Cellular Mechanisms","body":[{"value":"\u003Cp\u003EThe intersection of computation and biology allows researchers to understand the mechanisms that control gene functions in cells and better understand disease.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor\u0026nbsp;\u003Cstrong\u003EXiuwei Zhang\u003C\/strong\u003E, an assistant professor in the\u0026nbsp;\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE), this intersection also provides a space to help physicians and biologists alike through her research in mathematics and computer science.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile working on her master\u0026rsquo;s program at Tsinghua University, Zhang was introduced to the then-novel field by a professor who would eventually become the supervisor for her master\u0026rsquo;s thesis.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Professor\u0026nbsp;\u003Cstrong\u003EZhidong Deng\u003C\/strong\u003E\u0026nbsp;had just come back to China from the U.S. and quickly introduced an area known as computational biology to the computer science department at Tsinghua University,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;He introduced a groundbreaking problem that aimed to computationally predict the structure of RNAs. I thought it was very interesting and if I was going to choose a research direction with computer science, then biology was a great field to apply it to. Not only does it help us understand more about our own bodies, it is also a fascinating combination of engineering and science,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZhang joined CSE in fall 2019 and is part of the school\u0026rsquo;s research expansion into the bioinformatics field.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHer research specifically focuses on data science, method development, and data analysis with an emphasis on computational biology.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In a healthy organism, we need to make sure the right genes are functioning in every cell. Understanding which mechanism controls each gene function in a cell and its regulators allows scientists to build a network showing the full mechanism,\u0026rdquo; said Zhang.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECurrently,\u0026nbsp;\u003Ca href=\u0022https:\/\/xiuweizhang.wordpress.com\/group\/\u0022\u003EZhang\u0026rsquo;s research group\u003C\/a\u003E\u0026nbsp;at Georgia Tech is working to integrate multimodality data on a single cell level. The goal of their research aims to combine different data types together to study the cellular mechanisms in single cell organisms.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;What we really want to understand is what is controlling all the changes in the cells and track their differences. On a mechanism level, we need to not only look at the RNA sequencing data but also integrate other types of data such as protein analysis,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZhang\u0026rsquo;s other research focus is on regular network inference methods, which examine the regulatory relationships and controls of each cells to determine how and why certain genes are functioning.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA group of researchers from\u0026nbsp;Karolinska Institute of Sweden\u0026nbsp;are developing a method to infer RNA velocity which determines how fast a gene\u0026rsquo;s expression will increase or decrease in each cell. Zhang\u0026rsquo;s team is building off of this recent work which makes novel use of the predicted RNA velocity. Their goal is to develop a graph algorithm that takes the data from RNA velocity to output estimated trajectory of cells. These trajectories allow researchers to track different biological processes in the set of cells under study.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We want to infer the gene regulatory networks from single cell RNA sequencing data using computational methods. These networks represent the interactions between genes and proteins in cells, thus provide important information on the mechanisms in cell development and diseases. But we first need to aggregate the data from many cells and then sort the cells to then determine the trajectory of the cells,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZhang joined CSE after working as a postdoctoral researcher in the Electrical Engineering and Computer Sciences Department at the University of California (UC) at\u0026nbsp;Berkeley. While at UC Berkeley, her time centered on two different projects, each using single-cell sequencing. One project, called\u0026nbsp;SymSim, published in the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nature.com\/articles\/s41467-019-10500-w\u0022\u003E\u003Cem\u003ENature\u0026nbsp;Communications\u0026nbsp;Journal\u003C\/em\u003E\u003C\/a\u003E\u003Cem\u003E,\u003C\/em\u003E\u0026nbsp;developed a simulator to model processes observed during single cell RNA sequencing experiments.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Zhang, the SymSim simulates single cell RNA data which allows researchers to benchmark various computational methods.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZhang has won several distinguishing awards in the areas of computational biology and data analysis, including:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026middot;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;Swiss National Science Foundation (SNSF) Fellowship for Prospective Researchers, 2012\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026middot;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;SNSF Advanced Postdoc Mobility Fellowship, 2014\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026middot;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;Simons-Berkeley Research Fellowship, 2016\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Assistant Professor discusses her passion for merging computational research with biology-focused problems."}],"uid":"34540","created_gmt":"2020-08-17 17:29:05","changed_gmt":"2020-08-17 17:29:36","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-08-17T00:00:00-04:00","iso_date":"2020-08-17T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"637941":{"id":"637941","type":"image","title":"Xiuwei Zhang Profile","body":null,"created":"1597684657","gmt_created":"2020-08-17 17:17:37","changed":"1597684657","gmt_changed":"2020-08-17 17:17:37","alt":"Woman with short black bob and glasses in a black shirt standing at the top of a stairwell","file":{"fid":"242626","name":"Xiuwei_Zhang.jpg","image_path":"\/sites\/default\/files\/images\/Xiuwei_Zhang.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Xiuwei_Zhang.jpg","mime":"image\/jpeg","size":532304,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Xiuwei_Zhang.jpg?itok=2ZJtPTmF"}}},"media_ids":["637941"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"140461","name":"Computational Biology"},{"id":"185567","name":"Xiuwei Zhang"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"637928":{"#nid":"637928","#data":{"type":"external_news","title":"ML@GT Makes a Strong Showing at Premier European Computer Vision Conference","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-08-17 14:48:27","changed_gmt":"2020-08-17 14:48:27","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/b.gatech.edu\/3gOYb5a","dateline":{"date":"2020-08-17T00:00:00-04:00","iso_date":"2020-08-17T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"637875":{"#nid":"637875","#data":{"type":"external_news","title":"Learning Machines: Polo Chau Explains Data Visualizations","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-08-14 16:12:14","changed_gmt":"2020-08-14 16:12:14","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/bit.ly\/343tZzJ","dateline":{"date":"2020-08-14T00:00:00-04:00","iso_date":"2020-08-14T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"637660":{"#nid":"637660","#data":{"type":"external_news","title":"School of Computational Science and Engineering 2020 Annual Report","body":[{"value":"\u003Cp\u003EFrom 2019-2020, the School of Computational Science and Engineering (CSE) has grown considerably with new faculty, added program tracks, and a larger portfolio of highly-impactful research projects. Read on to find out more about the notable achievements made by our students, alumni, faculty, and staff.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34540","created_gmt":"2020-08-07 19:41:53","changed_gmt":"2020-08-07 19:42:32","author":"Kristen Perez","boilerplate_text":"","field_publication":"","publication":"James De Mille","field_article_url":"","publication_url":"https:\/\/issuu.com\/gt-computing\/docs\/cse_annual_report_2020?fr=sMjBlOTE3NjgwMzU","dateline":{"date":"2020-08-07T00:00:00-04:00","iso_date":"2020-08-07T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"637658":{"id":"637658","type":"image","title":"CSE 2020 Annual Report","body":null,"created":"1596829113","gmt_created":"2020-08-07 19:38:33","changed":"1596829113","gmt_changed":"2020-08-07 19:38:33","alt":"Blue background with images of students writing equations on whiteboards","file":{"fid":"242535","name":"CSE Annual Report_2020_2_Page_01.jpg","image_path":"\/sites\/default\/files\/images\/CSE%20Annual%20Report_2020_2_Page_01.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/CSE%20Annual%20Report_2020_2_Page_01.jpg","mime":"image\/jpeg","size":401736,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/CSE%20Annual%20Report_2020_2_Page_01.jpg?itok=Ci_VJYEI"}}},"media_ids":["637658"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"172846","name":"Annual Report"},{"id":"185492","name":"Issuu"},{"id":"183406","name":"2020"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"637602":{"#nid":"637602","#data":{"type":"news","title":"Park Named as New School of Computational Science and Engineering Chair","body":[{"value":"\u003Cp\u003E\u0026nbsp;The College of Computing is proud to announce the appointment of\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~hpark\/\u0022\u003E\u003Cstrong\u003EHaesun Park\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;as the new chair of its School of Computational Science and Engineering (CSE).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Haesun is not only a cutting-edge researcher, but has experience managing cutting-edge researchers, including for the National Science Foundation,\u0026rdquo; said Charles Isbell, Dean and John P. Imlay, Jr. Professor of the College of Computing. \u0026ldquo;She will be a valuable leader for the School of Computational Science and Engineering and for the College of Computing, and I look forward to working with her.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPark joined the\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;in 2005, and has been a Regents\u0026rsquo; Professor since 2019. During that time she served as the associate chair of the school and participated in creating new Ph.D. and MS degree programs in CSE. She also served as the executive director of the Center for Data Analytics, and as the director of the NSF-funded Foundations of Data and Visual Analytics Center. Before coming to Tech, Park served as a program director in the Computing and Communication Foundations Division at the National Science Foundation.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPark is a fellow of the Society for Industrial and Applied Mathematics (SIAM) and\u0026nbsp; of the Institute of Electrical and Electronics Engineers (IEEE). She is an internationally respected leader in the areas of numerical computing, data analysis, and visual analytics. She has made significant fundamental contributions to the advancement of computational methods and tools through groundbreaking research that impacted many real-life applications.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Georgia Tech has been a pioneer in the academic discipline of Computational Science and Engineering,\u0026rdquo; Park said. \u0026ldquo;I am honored to serve as chair, especially at a time when the field is reaching into so many new areas of life and society. I look forward to working with the communities in the school and across campus as we endeavor to expand our field and move it to the next level.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPark will be taking the reins from\u0026nbsp;\u003Cstrong\u003ESrinivas\u003Cstrong\u003E\u0026nbsp;Aluru\u003C\/strong\u003E,\u003C\/strong\u003E\u0026nbsp;professor and executive director of the Institute for Data Engineering And Science (IDEaS), who has served as interim chair for the past year.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I\u0026rsquo;d like to thank Srinivas for taking this leadership position,\u0026quot; Isbell said. \u0026quot;He did so while being the Executive Director of the Institute for Data Engineering and Sciences, and he kept that organization moving forward as well. I know doing both was difficult, but he knew his school and his college needed him, and he rose to the challenge.\u0026quot;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPark will begin as chair on Monday, August 10. Please join Dean Isbell in congratulating her and the School of Computational Science and Engineering on this new chapter.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Regent\u0027s Professor Haesun Park has been named as the new chair of the School for Computational Science and Engineering."}],"uid":"34540","created_gmt":"2020-08-07 13:35:31","changed_gmt":"2020-08-07 14:32:24","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-08-07T00:00:00-04:00","iso_date":"2020-08-07T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"637599":{"id":"637599","type":"image","title":"Haesun Park","body":null,"created":"1596807005","gmt_created":"2020-08-07 13:30:05","changed":"1596807005","gmt_changed":"2020-08-07 13:30:05","alt":"A woman wearing glasses with short dark brown hair and a black shirt stands in front of a data visualization on a screen","file":{"fid":"242524","name":"haesun_park.jpg","image_path":"\/sites\/default\/files\/images\/haesun_park.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/haesun_park.jpg","mime":"image\/jpeg","size":618369,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/haesun_park.jpg?itok=F0bd_zX-"}}},"media_ids":["637599"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"2222","name":"chair"},{"id":"4549","name":"coc"},{"id":"185479","name":"Regent\u0027s Professor"},{"id":"10475","name":"Haesun Park"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAnn Claycombe, Communications Director\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["ann.claycombe@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"637352":{"#nid":"637352","#data":{"type":"news","title":"Georgia Tech Alum is Recognized for Outstanding Dissertation in High-Performance Computing","body":[{"value":"\u003Cp\u003EA\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE) Ph.D. alumnus has been selected for the prestigious (\u003Ca href=\u0022https:\/\/www.sighpc.org\/for-your-career\/dissertation-award\u0022\u003EACM) SIGHPC Dissertation Award\u003C\/a\u003E\u0026nbsp;for 2020.\u0026nbsp; The winning alum,\u0026nbsp;\u003Ca href=\u0022https:\/\/patflick.github.io\/\u0022\u003E\u003Cstrong\u003EPatrick Flick\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E,\u0026nbsp;\u003C\/strong\u003E\u0026nbsp;is the first recipient in Georgia Tech history to receive the award which honors one outstanding doctoral dissertation focused on high-performance computing (HPC) research each year.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe winning dissertation,\u0026nbsp;\u003Ca href=\u0022https:\/\/smartech.gatech.edu\/handle\/1853\/61257\u0022\u003E\u003Cem\u003EParallel and Scalable Combinatorial String Algorithms on Distributed Memory Systems\u003C\/em\u003E\u003C\/a\u003E\u003Cem\u003E,\u003C\/em\u003E\u0026nbsp;offers a new approach to solve large-scale string and graph problems used throughout computational biology applications. The computational methods introduced in Dr. Flick\u0026rsquo;s work achieve efficient and scalable execution on large-scale distributed compute clusters, achieving solutions to increasingly larger problems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EInspired by the advent of high-throughput DNA sequencing which enables generations of billions of reads per minute, and the growing need to find a computational approach that can keep pace, this research expands on prior theoretical approaches. The resulting algorithms and data structures implemented by Flick advance the state-of-the-art by providing improved theoretical complexity and better practical performance, while minimizing overall and per-node communication volume within a computer\u0026rsquo;s distributed memory architecture.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUltimately, these findings offer a more efficient method to represent, construct, and query data structures for large-scale and memory intensive applications in text processing, information retrieval, and computational biology.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFlick joined CSE for his Ph.D. in 2014 under the guidance of CSE Professor and Interim Chair\u0026nbsp;\u003Cstrong\u003ESrinivas Aluru\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Aluru, \u0026ldquo;Patrick\u0026#39;s Ph.D. work addresses some notoriously difficult problems in parallel string algorithms, and his dissertation gets it just right by providing both theoretical optimality and practical efficiency. His work, all published in top forums in the field, has lasting value. It is gratifying to see him win this year\u0026#39;s ACM SIGHPC Dissertation Award.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFlick defended his thesis in March 2019 and officially graduated the following May. He is now a software engineer at Google.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFlick\u0026rsquo;s previous successes include authoring the first paper used for the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.hpcwire.com\/2016\/03\/16\/sc16-explores-study-reproducibility-student-cluster-competition\/\u0022\u003EStudent Cluster Reproducibility Challenge at Supercomputing 2016\u003C\/a\u003E\u0026nbsp;and winning the\u0026nbsp;Best Student Paper Award at Supercomputing 2015.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESIGHPC is the ACM\u0026rsquo;s special interest group that focuses on providing a platform for high-performance computing (HPC) research and efforts internationally. The ACM SIGHPC Dissertation Award pulls from this professional society in an effort to highlight innovative and prolific research in the supercomputing and parallel processing fields.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe 2020 ACM SIGHPC Dissertation Award includes a $2,000 honorarium, travel support to the Supercomputing Conference, and an award plaque.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Alumnus Patrick Flick was awarded the ACM SIGHPC Dissertation Award"}],"uid":"34540","created_gmt":"2020-07-29 14:50:41","changed_gmt":"2020-07-29 14:52:32","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-07-29T00:00:00-04:00","iso_date":"2020-07-29T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"637350":{"id":"637350","type":"image","title":"Patrick Flick Headshot","body":null,"created":"1596033868","gmt_created":"2020-07-29 14:44:28","changed":"1596033868","gmt_changed":"2020-07-29 14:44:28","alt":"A selfie by Patrick Flick in front of the ocean","file":{"fid":"242448","name":"PatrickFlick-headshot.jpg","image_path":"\/sites\/default\/files\/images\/PatrickFlick-headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/PatrickFlick-headshot.jpg","mime":"image\/jpeg","size":658098,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/PatrickFlick-headshot.jpg?itok=hfsZb6Dv"}}},"media_ids":["637350"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"183054","name":"CHiPC"},{"id":"3427","name":"High performance computing"},{"id":"702","name":"hpc"},{"id":"28201","name":"Alum"},{"id":"101","name":"Award"},{"id":"3366","name":"dissertation"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"637236":{"#nid":"637236","#data":{"type":"news","title":"Herrmann Honored with 2020 SEG Reginald Fessenden Award","body":[{"value":"\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.ece.gatech.edu\/faculty-staff-directory\/felix-herrmann\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003EFelix Herrmann\u003C\/strong\u003E\u003C\/a\u003E is the recipient of the 2020 Reginald Fessenden Award, presented by the Society of Exploration Geophysicists (SEG). He is receiving this award with Charles (Chuck) Mosher, of ConocoPhillips, which recognizes their pioneering work\u0026nbsp;in the development and\u0026nbsp;application of compressive sensing (CS) in seismology. \u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBorrowing from electrical engineering and\u0026nbsp;mathematics, they have shown how new theories can be utilized to efficiently\u0026nbsp;acquire higher quality seismic surveys at costs much lower than that afforded by traditional methods. These two award winners did not directly work together, but they both\u0026nbsp;benefitted from each other\u0026rsquo;s contributions and set an exemplary example of how\u0026nbsp;technical success can be achieved by the interaction between academia and\u0026nbsp;industry.\u0026nbsp;Their efforts are\u0026nbsp;establishing the new paradigm for seismic acquisition, and their innovations are deserving of this prestigious award.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESuch concepts as sampling interval and aliasing have been well established, but these concepts are based on regularly discretizing a continuous signal. Irregular sampling allows CS to avoid the traditional Nyquist criteria of sampling two points per wavelength to eliminate aliasing. This opens the possibility for sparser sampling while maintaining or enhancing bandwidth and managing incoherently aliased energy. This is the basic premise of CS, but there are significant hurdles in implementing any new approach for effective use in the field. Questions such as how to acquire irregularly sampled field data, represent it in a compressed form, deblend simultaneous sources, and perform a sparse inversion to reconstruct the desired output data are among the key challenges Herrmann and Mosher have addressed successfully.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHerrmann joined the Georgia Tech faculty in 2017 as a professor in the Georgia Tech School of Earth and Atmospheric Sciences and as a Georgia Research Alliance Eminent Scholar in Energy. He holds joint appointments in the School of Electrical and Computer Engineering and the School of Computational Science and Engineering.\u0026nbsp;While a professor at the University of British Columbia, Herrmann led the industry-supported SINBAD consortium from 2005-2017. The\u0026nbsp;focus of this consortium was on applications of CS for cost reduction of seismic acquisition, seismic processing, and seismic imaging. Herrmann and his colleagues addressed sampling-related cost of seismic acquisition by using CS wavefield reconstruction methods based on\u0026nbsp;randomized sampling techniques and simultaneous shooting in land and marine acquisitions.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThrough several publications, he and his team demonstrated that a signal can be represented sparsely, interference (aliasing) can be rendered into incoherent noise by random sampling, and a nontraditional optimization algorithm can recover the desired signal from the sparse representation. Key areas in which Herrmann has contributed are: seismic data processing, wave equation imaging, and full-waveform inversion (FWI). In seismic processing, he has shown that multidimensional data can either be sparsely represented using a curvelet transform or in low-rank factored form. Given these structured representations, Herrmann demonstrated how seismic wavefields can be reconstructed from severe undersamplings by promoting structure via optimization. He showed how to represent primary reflections with a sparse spike inversion, which also draws on new techniques from modern convex optimization. In wave equation imaging, he has shown how statistical sampling of shots, in combination with\u0026nbsp;curvelet-domain sparsity promotion, can yield impressive cost reductions of reverse time migration and FWI. He and his team also were responsible for the development of wavefield reconstruction inversion, a new technique designed to mitigate the impact of local minima. Finally, he\u0026nbsp;was selected as the SEG\u0026nbsp;2019 first-quarter\/second-quarter Distinguished Lecturer to present \u0026ldquo;Sometimes it pays to be cheap \u0026mdash; Compressive time-lapse seismic data acquisition,\u0026rdquo; which focuses on obtaining repeatable time-lapse data without insisting on replication in the field.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMosher and his team at ConocoPhillips have also made significant advances that are currently realizing the potential of CS in acquisition and processing. Mosher extends the windowed Fourier transform to a fast generalized windowed transform by introducing fractional decimation concepts to overcome sub-band aliasing artifacts, and this provides a sparse transform to represent data with fewer samples. He and his team developed nonuniform optimal sampling for choosing nonuniform sensor locations for seismic survey planning and prove that the new sampling strategy makes it possible to recover significantly broader spatial bandwidth than could be obtained using uniform sampling. CS data reconstruction is an important step, and Mosher and his team developed an effective seismic data reconstruction workflow. They also introduced a novel optimization algorithm for data reconstruction, which adapts the alternating direction method with a variable-splitting technique to recover a sparse representation of the seismic data. Source deblending is an important step, and they have demonstrated how this can improve seismic data quality with reduced acquisition time and cost.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo date, ConocoPhillips and its business partners have acquired 17 CS data sets globally, including ocean-bottom node\/cable, narrow-azimuth marine streamer, and land vibroseis surveys. For all the finished processing projects, the imaging results from the CS surveys exceeds the quality of legacy or neighboring surveys with traditional designs. The paradoxical result is that CS theory produces higher data quality at lower cost and in shorter time frames than would be achieved with equivalent traditionally sampled survey designs. To date, global deployments of CS technology in production have led to direct acquisition cost savings of more than US$165 million and indirect cost savings of US$180 million from optimized drilling decisions.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EFelix Herrmann is the recipient of the 2020 Reginald Fessenden Award, presented by the Society of Exploration Geophysicists (SEG). He is receiving this award with Charles (Chuck) Mosher, of ConocoPhillips, which recognizes their pioneering work\u0026nbsp;in the development and\u0026nbsp;application of compressive sensing (CS) in seismology. \u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Felix Herrmann is the recipient of the 2020 Reginald Fessenden Award, presented by the Society of Exploration Geophysicists (SEG). He is receiving this award with Charles (Chuck) Mosher, of ConocoPhillips."}],"uid":"34540","created_gmt":"2020-07-23 21:01:20","changed_gmt":"2020-07-23 21:30:03","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-07-23T00:00:00-04:00","iso_date":"2020-07-23T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"603950":{"id":"603950","type":"image","title":"Felix Herrmann","body":null,"created":"1521326281","gmt_created":"2018-03-17 22:38:01","changed":"1521326281","gmt_changed":"2018-03-17 22:38:01","alt":"photograph of Felix Herrmann","file":{"fid":"230190","name":"felix.jpg","image_path":"\/sites\/default\/files\/images\/felix.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/felix.jpg","mime":"image\/jpeg","size":10953,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/felix.jpg?itok=-HEmxRXL"}}},"media_ids":["603950"],"related_links":[{"url":"https:\/\/www.ece.gatech.edu\/faculty-staff-directory\/felix-herrmann","title":"Felix Herrmann"},{"url":"http:\/\/www.eas.gatech.edu","title":"School of Earth and Atmospheric Sciences"},{"url":"http:\/\/www.ece.gatech.edu","title":"School of Electrical and Computer Engineering"},{"url":"http:\/\/www.cse.gatech.edu","title":"School of Computational Science and Engineering"},{"url":"http:\/\/www.gra.org","title":"Georgia Research Alliance"},{"url":"https:\/\/seg.org\/Default.aspx?TabId=176\u0026language=en-US","title":"Society of Exploration Geophysicists"}],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"135","name":"Research"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"144","name":"Energy"},{"id":"145","name":"Engineering"},{"id":"154","name":"Environment"}],"keywords":[{"id":"177470","name":"Felix Herrmann"},{"id":"276","name":"Awards"},{"id":"1506","name":"faculty"},{"id":"109","name":"Georgia Tech"},{"id":"166926","name":"School of Earth and Atmospheric Sciences"},{"id":"166855","name":"School of Electrical and Computer Engineering"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"1464","name":"Georgia Research Alliance"},{"id":"185360","name":"SINBAD Consortium"},{"id":"185361","name":"Reginald Fessenden Award"},{"id":"177471","name":"Society of Exploration Geophysicists"},{"id":"173235","name":"compressive sensing"},{"id":"170891","name":"seismology"},{"id":"185362","name":"Chuck Mosher"},{"id":"5529","name":"ConocoPhillips"},{"id":"185363","name":"sampling interval and aliasing"},{"id":"185364","name":"seismic acquisition"},{"id":"185365","name":"seismic processing"},{"id":"171230","name":"seismic imaging"},{"id":"185366","name":"compressive sampling wavefield reconstruction methods"},{"id":"185367","name":"seismic data processing"},{"id":"185368","name":"wave equation imaging"},{"id":"185369","name":"full-waveform inversion (FWI)"},{"id":"185370","name":"seismic survey planning;ocean-bottom node\/cable"},{"id":"185371","name":"narrow-azimuth marine streamer"},{"id":"185372","name":"and land vibroseis surveys; optimized drilling decisions"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39451","name":"Electronics and Nanotechnology"},{"id":"39531","name":"Energy and Sustainable Infrastructure"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJackie Nemeth\u003Cbr \/\u003E\r\nSchool of Electrical and Computer Engineering\u003Cbr \/\u003E\r\n404-894-2906\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["jackie.nemeth@ece.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"637122":{"#nid":"637122","#data":{"type":"news","title":"Georgia Tech, 6 Collaborators Receive $5.9 Million NIH Grant for a National Center in AI-based mHealth Research","body":[{"value":"\u003Cp\u003EGeorgia Tech researchers will develop more effective and personalized treatment approaches for chronic health conditions under a new grant from the \u003Ca href=\u0022http:\/\/nih.gov\u0022\u003ENational Institutes of Health\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe NIH is issuing $5.9 million in funding for a new national biomedical technology\u0026nbsp;resource center (BTRC), called the mHealth Center for Discovery, Optimization \u0026amp; Translation of Temporally-Precise Interventions (mDOT). Georgia Tech, one of seven collaborators on the project, will receive $500,000, and mDOT\u0026nbsp;will be headquartered at the MD2K Center of Excellence at The University of Memphis.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne of the biggest drivers of the nation\u0026rsquo;s rising healthcare spending is providing care for patients with chronic diseases, many of which are linked to daily behaviors such as dietary choices, sedentary behavior, stress, and addiction. The mDOT Center will be a new national technology resource for improving people\u0026rsquo;s health and wellness. It will conduct cutting-edge AI research to produce easily deployable wearables, apps for wearables and smartphones, and a companion cloud system. mDOT\u0026rsquo;s innovative technology will enable patients to initiate and sustain the healthy lifestyle choices necessary to prevent and\/or successfully manage the growing burden of multiple chronic conditions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELed by \u003Cstrong\u003EJim Rehg\u003C\/strong\u003E, a Professor in Georgia Tech\u0026rsquo;s \u003Ca href=\u0022http:\/\/ic.gatech.edu\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E, Georgia Tech\u0026rsquo;s project will focus on analyzing streams of biomarker data to enable the development of more effective, personalized treatment approaches for chronic health conditions like smoking and physical activity. To achieve this, the team will develop machine learning methods that can discover important risk factors from sensor data and identify effective intervention targets.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Consider developing an intervention to help people who are trying to quit smoking by providing personalized strategies for managing risk factors that are known to precipitate relapse,\u0026rdquo; Rehg said. \u0026ldquo;Researchers and practitioners would use our tools to analyze biomarker data and characterize the patterns that lead to relapse and identify potential intervention targets.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe collaboration can then use the tools provided by the other teams to develop and tailor an effective personalized stress intervention and deliver it efficiently on a mobile device. \u003Cstrong\u003EOmer Inan\u003C\/strong\u003E, a faculty member in Georgia Tech\u0026rsquo;s \u003Ca href=\u0022http:\/\/ece.gatech.edu\u0022\u003ESchool of Electrical and Computer Engineering\u003C\/a\u003E, will also collaborate with the team, leveraging work on novel non-invasive biosensors that detect cardiovascular changes in heart failure. Working alongside the mDOT team will enhance the ability to develop and deploy interventions based on his novel wearable sensors.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Researchers and industry innovators can leverage mDOT\u0026rsquo;s technological resources to create the next generation of mHealth technology that is highly personalized to each user, transforming people\u0026rsquo;s health and wellness,\u0026rdquo; said \u003Cstrong\u003ESantosh Kumar\u003C\/strong\u003E, the lead investigator of mDOT, who is the director of MD2K Center of Excellence and Lillian \u0026amp; Morrie Moss Chair of Excellence Professor of Computer Science at the University of Memphis.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo ensure mDOT\u0026rsquo;s innovative technology can be used by scientists to solve real-world problems, mDOT will be working closely with over a dozen other federally-funded projects to engage in joint technology development, testing, and large-scale real-life deployment. To ensure that mDOT\u0026rsquo;s technological resources can fuel innovation in the health technology industry, the mDOT Center is establishing a new industry consortium to provide access to mDOT\u0026rsquo;s latest research and seek feedback to inform its ongoing research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe mDOT Center will be administered by the National Institute of Biomedical Imaging and Bioengineering (NIBIB).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The mDOT Center will be the first\u003Ca href=\u0022https:\/\/www.nibib.nih.gov\/research-funding\/biomedical-technology-resource-centers\u0022\u003E\u0026nbsp;BTRC\u003C\/a\u003E\u0026nbsp;focused on developing innovative mHealth technologies. It is positioned to empower scientists to discover, personalize, and deliver temporally-precise mHealth interventions and treatments, ensuring that health and wellness tools are delivered at the right moment, via the right personal device, and is optimized to have the most influence,\u0026rdquo; said mDOT\u0026rsquo;s program officer\u0026nbsp;\u003Cstrong\u003ETiffani Lash\u003C\/strong\u003E, director of the NIBIB program inConnected Health.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe multidisciplinary mDOT team consists of leading researchers in artificial intelligence (AI), mobile computing, wearable sensors, privacy, and precision medicine from Harvard University, Georgia Institute of Technology, The Ohio State University, The University of Massachusetts-Amherst, The University of Memphis (lead), The University of California at Los Angeles, and The University of California at San Francisco.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbout MD2K:\u003C\/strong\u003E\u0026nbsp;The Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K), headquartered (in FedEx Institute of Technology) at The University of Memphis, was established in 2014 by a grant from National Institutes of Health (NIH) under its Big-Data-To-Knowledge (BD2K) initiative. It has developed mobile sensor big data technologies to improve health and wellness. MD2K\u0026rsquo;s open-source software platforms for smartphones and the cloud are used across the nation to conduct scientific studies.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"he NIH is issuing $5.9 million in funding for a new national biomedical technology\u00a0resource center (BTRC), called the mHealth Center for Discovery, Optimization \u0026 Translation of Temporally-Precise Interventions (mDOT)."}],"uid":"33939","created_gmt":"2020-07-20 20:36:27","changed_gmt":"2020-07-20 20:36:27","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-07-20T00:00:00-04:00","iso_date":"2020-07-20T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"592632":{"id":"592632","type":"image","title":"Rehg-Jim","body":null,"created":"1497298524","gmt_created":"2017-06-12 20:15:24","changed":"1497298713","gmt_changed":"2017-06-12 20:18:33","alt":"James Rehg","file":{"fid":"225873","name":"Rehg-Jim250.jpg","image_path":"\/sites\/default\/files\/images\/Rehg-Jim250.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Rehg-Jim250.jpg","mime":"image\/jpeg","size":66316,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Rehg-Jim250.jpg?itok=Fzvp-y4u"}}},"media_ids":["592632"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"182525","name":"cc-research; ic-hcc; ic-ai-ml"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"637102":{"#nid":"637102","#data":{"type":"news","title":"Scientists Collaborating on New Data-Driven Approach to Covid-19 Intervention","body":[{"value":"\u003Cp\u003EAs the number of Covid-19 cases rise in the United States and businesses reopen, health officials report that it is becoming increasingly difficult to conduct effective contact tracing and quarantine appropriately.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo help these officials,\u0026nbsp;Georgia Tech researchers are collaborating with peers from the University of Virginia (UVA) to improve Covid-19 surveillance by designing more targeted and adaptive testing and intervention techniques.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELed by Georgia Tech\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;Associate Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~badityap\/\u0022\u003E\u003Cstrong\u003EB. Aditya Prakash\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E,\u0026nbsp;\u003C\/strong\u003Ethe team is developing these techniques using a new data-driven approach that brings together different types of datasets.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Prakash, standard preventative measures are proving to be substantially harder for scientists and public health experts to implement as infection rates continue to rise in many parts of the country. This is complicated further by factors such as asymptomatic transmission, high incubation periods, human mobility, weather patterns, and limited testing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The basic motivation [of our research] is that as the number of coronavirus cases rise, it becomes harder to target, quarantine, and prevent the spread of the disease,\u0026rdquo; said Prakash.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;To improve Covid-19 surveillance abilities in a data-driven fashion, we plan to augment and align different types of datasets. This will help us adaptively understand which new infections are more likely high risk, where we should focus our attentions on quarantine efforts, and also better model and understand the disease spread.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBolstered by a National Science Foundation (NSF) Rapid Response Research (RAPID) grant, this project will integrate several datasets including\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cdc.gov\/nhsn\/pdfs\/ps-analysis-resources\/linelists.pdf\u0022\u003Eline lists\u003C\/a\u003E, which show case history, and other auxiliary data sets, such as census records, mobility and strain data. The project is attempting an ambitious approach that aims to bridge these widely contrasting data sets to create actionable insights.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUsing these datasets, the\u0026nbsp;researchers will computationally infer transmission chains to new infections.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Our prior works on interventions and surveillance have been highly successful in this regard. Our inferred chains naturally give us guidance on whom to adaptively surveil and quarantine among the new infections,\u0026rdquo; said Prakash.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We believe that the current patient line lists have a lot of missing information. This can be true for many diseases, but especially so in the case of Covid-19 where asymptomatic transmission seems to play such a large role in its spread,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We are developing a sort of risk measure to understand where these missing clusters may be, such as near someone who is a highly mobile person living in a heavily populated area.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPrakash and his UVA collaborators, including\u0026nbsp;Biocomplexity Institute Professor\u0026nbsp;\u003Cstrong\u003EAnil Vullikanti,\u003C\/strong\u003E\u0026nbsp;have been working on epidemiological models for several years and have developed their own data sets for different geographical areas. As a proof of concept, their team is first focusing this research on the geographical regions of Georgia and Virginia and plans to extend later to other regions nationwide.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EApart from the immediate applications to the Covid-19 pandemic, the tools developed through this research will be broadly applicable to other infectious disease settings such as influenza.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe project will release its methods, which can be used by both practitioners and modelers for faster surveillance and testing under resource constraints.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor more coverage of Georgia Tech\u0026rsquo;s response to the coronavirus pandemic, please visit our\u0026nbsp;\u003Ca href=\u0022https:\/\/helpingstories.gatech.edu\/\u0022\u003EResponding to COVID-19 page\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E[Related Link:\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/636566\/georgia-tech-professor-leads-multi-institution-team-combatting-hospital-acquired\u0022\u003E\u003Cstrong\u003EGeorgia Tech Professor Leads Multi-Institution Team in Combatting Hospital Acquired Infections]\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E[Related Link:\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/635849\/team-using-deep-learning-forecast-pandemic-us\u0022\u003E\u003Cstrong\u003ETeam Using Deep Learning to Forecast Pandemic in the U.S.]\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Associate Professor Aditya Prakash leads a multi-institute team to increase contact tracing and surveillance techniques for Covid-19 cases."}],"uid":"34540","created_gmt":"2020-07-20 13:51:19","changed_gmt":"2020-07-20 14:26:58","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-07-20T00:00:00-04:00","iso_date":"2020-07-20T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"637101":{"id":"637101","type":"image","title":"NSF RAPIDS","body":null,"created":"1595252745","gmt_created":"2020-07-20 13:45:45","changed":"1595252745","gmt_changed":"2020-07-20 13:45:45","alt":"A circular data visualization of epidemiological models for Covid-19 cases","file":{"fid":"242357","name":"NSF Rapids.png","image_path":"\/sites\/default\/files\/images\/NSF%20Rapids.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/NSF%20Rapids.png","mime":"image\/png","size":1005567,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/NSF%20Rapids.png?itok=TZBgnGuz"}}},"media_ids":["637101"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"184289","name":"covid-19"},{"id":"183843","name":"coronavirus"},{"id":"729","name":"pandemic"},{"id":"11138","name":"Epidemiology"},{"id":"184341","name":"Aditya Prakash"},{"id":"4305","name":"cse"},{"id":"184478","name":"contact tracing"},{"id":"167617","name":"surveillance"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"636848":{"#nid":"636848","#data":{"type":"news","title":"Teaching Neural Networks When to Stop","body":[{"value":"\u003Cp\u003EIf you were running and finished a course in five steps, you would not continue to march at the finish line to make sure you reached 10 steps in total. However, this absurd characteristic is a key problem that plagues deep neural networks, a type of machine learning model that governs a wide breadth of applications.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETypically, neural networks must go through a predetermined number of layers in order to complete every task, despite being able to complete the task in more or less layers.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENow, a team of researchers from Georgia Tech, Google Brain, and King Abdullah University of Science and Technology have created a steerable architecture that allows neural networks to sequentially determine whether to stop at an intermediate layer for each input or to continue going.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis novel approach combines a feed-forward deep model with\u0026nbsp;a variational stopping policy, allowing the network to adaptively stop at an earlier layer to avoid wasting energy. Experimentally, research has shown that the new deep learning model with the newly applied stopping policy is able to improve the performances on a diverse set of tasks such as image denoising and multitask learning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Recently, there have been many efforts to bridge traditional algorithms with deep neural networks by combining the interpretability of the former and flexibility of the latter. Inspired by traditional algorithms which have certain stopping criteria for outputting results at different iterations, we design a variational stopping policy to decide which layer to stop for each input in the neural network,\u0026rdquo;\u0026nbsp;said\u0026nbsp;\u003Cstrong\u003EXinshi Chen\u003C\/strong\u003E\u0026nbsp;a Ph.D. student from the\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;and researcher on the project.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Chen, training the neural network along with the stopping policy is very challenging and is one of the most important contributions of this research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Notably, our paper proposes a principled and efficient algorithm to jointly train these two components together. This algorithm can be mathematically explained from the variational Bayes perspective and can be generally applied to many problems,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhat\u0026rsquo;s more is that deep neural networks are typically considered black boxes, meaning that researchers don\u0026rsquo;t mathematically know why an output \u0026ndash; no matter how accurate \u0026ndash; is produced. By bridging deep learning neural networks with the traditional algorithms\u0026rsquo; steps, it has broken the black box restriction and is now an inherently interpretable \u0026ndash; and therefore, more accountable \u0026ndash; system.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe findings of this research are published in the paper,\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2006.05082.pdf\u0022 title=\u0022https:\/\/arxiv.org\/pdf\/2006.05082.pdf\u0022\u003E\u003Cem\u003ELearning to Stop While Learning to Predict\u003C\/em\u003E\u003C\/a\u003E, which is set to be presented at the virtual\u0026nbsp;\u003Ca href=\u0022https:\/\/icml.cc\/\u0022\u003EThirty-seventh International Conference on Machine Learning\u003C\/a\u003E\u0026nbsp;July 14 , 1:00-1:45 and July 15 12:00-12:45 EDT.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A team of researchers from Georgia Tech, Google Brain, and King Abdullah University of Science and Technology have successfully created an architecture that allows neural networks to determine when it reaches an optimal stopping point"}],"uid":"34540","created_gmt":"2020-07-09 14:53:49","changed_gmt":"2020-07-09 17:47:25","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-07-09T00:00:00-04:00","iso_date":"2020-07-09T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"636844":{"id":"636844","type":"image","title":"Training Neural Networks When to Stop","body":null,"created":"1594305053","gmt_created":"2020-07-09 14:30:53","changed":"1594305053","gmt_changed":"2020-07-09 14:30:53","alt":"A diagram showing the layers that a neural network passes through and determining when to stop","file":{"fid":"242273","name":"Diagram showing neural network steps.png","image_path":"\/sites\/default\/files\/images\/Diagram%20showing%20neural%20network%20steps.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Diagram%20showing%20neural%20network%20steps.png","mime":"image\/png","size":338098,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Diagram%20showing%20neural%20network%20steps.png?itok=o12cSUkf"}}},"media_ids":["636844"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"176999","name":"neural networks"},{"id":"185278","name":"xinshi Chen"},{"id":"127171","name":"Le Song"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"636821":{"#nid":"636821","#data":{"type":"external_news","title":"ML@GT to Present Nine Papers at Competitive Machine Learning Conference","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-07-08 15:16:25","changed_gmt":"2020-07-08 15:16:25","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/bit.ly\/2Z0RF4O","dateline":{"date":"2020-07-08T00:00:00-04:00","iso_date":"2020-07-08T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"636603":{"#nid":"636603","#data":{"type":"news","title":"New Training Data Labeling System for Machine Learning Helps Developers","body":[{"value":"\u003Cp\u003EMachine learning (ML) has become one of the most prominent forms of data analysis for everything from fraud detection to visual quality control. Yet the analytic results can often suffer from insufficiently labeled training data.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA team of Georgia Tech researchers has created a system that allows users to more effectively label a training dataset with higher accuracy than current methods.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We are looking at the problem from a data management perspective,\u0026rdquo; said School of Computer Science (SCS) Assistant Professor \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~xchu33\/\u0022\u003E\u003Cstrong\u003EXu Chu\u003C\/strong\u003E\u003C\/a\u003E. \u0026ldquo;In contrast to a lot of ML research that tries to tackle the lack of sufficient training data from an ML algorithm design perspective, we aim at building a system that helps users effectively label a dataset.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe system, called GOGGLES, labels datasets using affinity coding, a paradigm that allows ML engineers to use various affinity functions that input two unlabeled examples and output a real-valued score.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;You can think of affinity as similarity,\u0026rdquo; said Chu. \u0026ldquo;The core premise of the work is that two examples share the same label if they are similar according to some affinity functions (or similarity functions).\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EThe benefits of affinity coding\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGOGGLES uses a set of affinity functions that can capture various affinities found in the image. Next, using a new unlabeled dataset and these affinity functions, GOGGLES constructs an affinity matrix, from which it can assign classes to unlabeled images. This doesn\u0026rsquo;t require any metadata or developer intervention like previous .\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor each new dataset, users can potentially reuse many of the existing affinity functions already in the\u0026nbsp;library, making GOGGLES a domain-agnostic labeling system. Users and developers can always add more affinity functions to increase the labeling power of GOGGLES.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOn five common image classifying tasks, GOGGLES reaches up to 98 percent accuracy without requiring extensive developer effort. It also outperforms other well-known data programming systems by up to 21 percent.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChu co-wrote the paper, \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~xchu33\/chu-papers\/GOGGLES-SIGMOD2020.pdf\u0022\u003E\u003Cem\u003EGOGGLES: Automatic Image Labeling with Affinity Coding, \u003C\/em\u003E\u003C\/a\u003E\u0026nbsp;with Ph.D. students \u003Ca href=\u0022http:\/\/nilakshdas.com\/\u0022\u003E\u003Cstrong\u003ENilaksh Das\u003C\/strong\u003E\u003C\/a\u003E and \u003Ca href=\u0022https:\/\/wurenzhi.github.io\/\u0022\u003E\u003Cstrong\u003ERenzhi Wu\u003C\/strong\u003E\u003C\/a\u003E, master\u0026rsquo;s alumni \u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/sanyachaba\/\u0022\u003E\u003Cstrong\u003ESanya Chaba\u003C\/strong\u003E\u003C\/a\u003E and \u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/sakshigandhi\/\u0022\u003E\u003Cstrong\u003ESakshi Gandhi\u003C\/strong\u003E\u003C\/a\u003E, and School of Computational Science and Engineering Professor \u003Ca href=\u0022https:\/\/poloclub.github.io\/polochau\/\u0022\u003E\u003Cstrong\u003EPolo Chau\u003C\/strong\u003E\u003C\/a\u003E. They presented it at \u003Ca href=\u0022https:\/\/en.wikipedia.org\/wiki\/Association_for_Computing_Machinery\u0022 title=\u0022Association for Computing Machinery\u0022\u003EAssociation for Computing Machinery\u003C\/a\u003E\u0026#39;s \u003Ca href=\u0022https:\/\/sigmod2020.org\/\u0022 title=\u0022Symposium on Principles of Database Systems\u0022\u003ESpecial Interest Group on Management of Data (SIGMOD) and Symposium on Principles of Database Systems (PODS)\u003C\/a\u003E held virtually from June 14 to 19. \u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A team of Georgia Tech researchers has created a system that allows users to more effectively label a training dataset with higher accuracy than current methods. "}],"uid":"34541","created_gmt":"2020-06-29 21:17:28","changed_gmt":"2020-06-29 21:19:57","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-06-29T00:00:00-04:00","iso_date":"2020-06-29T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"636604":{"id":"636604","type":"image","title":"Goggles","body":null,"created":"1593465569","gmt_created":"2020-06-29 21:19:29","changed":"1593465569","gmt_changed":"2020-06-29 21:19:29","alt":"Goggles","file":{"fid":"242196","name":"person-holding-blue-goggles.jpg","image_path":"\/sites\/default\/files\/images\/person-holding-blue-goggles.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/person-holding-blue-goggles.jpg","mime":"image\/jpeg","size":64436,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/person-holding-blue-goggles.jpg?itok=A4ZPMVkd"}}},"media_ids":["636604"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"636566":{"#nid":"636566","#data":{"type":"news","title":"Georgia Tech Professor Leads Multi-Institution Team in Combatting Hospital Acquired Infections ","body":[{"value":"\u003Cp\u003EResearchers from Georgia Tech, University of Virginia, and the University of Iowa have teamed up to prevent, control, and intervene against hospital acquired infection (HAI) outbreaks.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDetection and control of HAIs, such as\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cdc.gov\/hai\/eip\/cdiff-tracking.html\u0022\u003E\u003Cem\u003EClostridioides difficile\u003C\/em\u003E\u0026nbsp;infection\u003C\/a\u003E\u0026nbsp;(CDI),\u0026nbsp;is a fundamental public health problem and a resource intensive challenge for hospitals. And with the spread of\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cdc.gov\/coronavirus\/2019-nCoV\/index.html\u0022\u003ECovid-19\u003C\/a\u003E\u0026nbsp;on the rise, the need to combat HAI outbreaks is more critical than ever.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDespite the huge importance for hospitals, and the interest from both clinical and epidemiological researchers, these problems remain poorly understood and all too common. According to the Centers for Disease Control and Prevention (CDC),\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cdc.gov\/hai\/data\/index.html\u0022\u003Eone in thirty-one hospital patients in the United States are infected with at least one HAI\u003C\/a\u003E\u0026nbsp;on any given day. HAIs are particularly challenging because of the high cost of patient treatment and disinfection of hospital facilities, as well as penalties against hospitals if HAIs occur.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn an effort to combat the rate of HAIs, the cross-institute group of researchers, led by Georgia Tech\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE) Associate Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~badityap\/\u0022\u003E\u003Cstrong\u003EB.\u0026nbsp;\u003C\/strong\u003E\u003Cstrong\u003EAditya Prakash\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E,\u003C\/strong\u003E\u0026nbsp;are creating a holistic approach to better understanding, preventing, and treating HAI outbreaks by developing a network-based framework to improve hospital infection control.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEquipped with a\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=1955883\u0026amp;HistoricalAwards=false\u0022\u003E$1.2 million grant from the National Science Foundation\u003C\/a\u003E\u0026nbsp;(NSF), this three-year project aims to create a countermeasure toolkit to aid infectious disease experts.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This will simultaneously improve care for current patients, make work safer for healthcare workers, and help prevent the incursion of Covid-19 into hospitals,\u0026rdquo; said Prakash.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Our research brings together researchers from different backgrounds - data scientists, epidemiologists, hospital infection control experts and clinicians - in order to adopt a very interdisciplinary methodology. Through this, we aim to develop a new network-based approach that improves hospital infection control using data driven models and data science algorithms.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EA Holistic Approach\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGiven that each hospital is unique, the focus of the project is to design fundamental strategies and provide guidance for hospital infection control decision makers to determine what exact policies are best for each individual location.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECurrently, there is limited data on HAI outbreaks, and the dynamics of HAI spread are more complex than other diseases due to several compounding factors. In response to these issues, the team says it is seeking a paradigm shift and will pursue a holistic view for this problem. The team will do so by modeling the disease spread using high dimensional clinical and mobility network data of healthcare workers and patients.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis type of data includes onsite surveys, RFID-type sensors, manual check-ins, anonymized electronic medical records, and more, to determine which areas are at higher risk for contagion exposure, who is most likely to come into contact with that area and with each other, and who may get eventually infected.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis research will use a unique fine-grained, large-scale dataset of operations from the University of Iowa Hospitals and Clinics collected over 10 years, supplemented with data collected from other hospitals. Results will be validated with the help of domain experts including epidemiologists and clinicians involved in hospital infection control.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese varying datasets will be combined to build a complete picture of disease transmission pathways to help hospitals quickly detect, understand, and control future HAI spread. To accomplish this, researchers will focus on multiple aspects of the infection control cycle: developing better surveillance techniques, more informed and carefully designed interventions, and more accurate exposure risk assessment tools.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Building a comprehensive framework is very challenging because it is dependent on the layout of the hospital, the personnel, and how they all interact, in addition to the transmission characteristics of the disease itself. So, there are many combinations, which is why we need nimble models that can ingest heterogeneous dynamic data, leverage global information, and yet be useful at an individual level,\u0026rdquo; said Prakash.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo overcome these issues, researchers created a new class of two-mode cascade models to use throughout this project. This particular class has very different dynamics than current standard models used in heterogenous data analysis and has not been previously studied in data mining.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;These are difficult problems on networks, and we will invent rigorous and scalable methods using tools from data science, machine learning, and combinatorial optimization,\u0026rdquo; said Prakash.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team expects their research will lead to novel computational methods `and algorithms, in addition to guiding the next stage of advances in infectious disease practice.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Associate Professor Aditya Prakash leads a cross-institute team of researchers in creating a robust data science methodology that aims to prevent HAIs."}],"uid":"34540","created_gmt":"2020-06-26 18:35:23","changed_gmt":"2020-06-26 18:49:07","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-06-26T00:00:00-04:00","iso_date":"2020-06-26T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"636564":{"id":"636564","type":"image","title":"Operating Room in a Hospital","body":null,"created":"1593196011","gmt_created":"2020-06-26 18:26:51","changed":"1593196011","gmt_changed":"2020-06-26 18:26:51","alt":"Medical equipment inside of a hospital\u0027s operating room","file":{"fid":"242183","name":"Operating Room.jpg","image_path":"\/sites\/default\/files\/images\/Operating%20Room.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Operating%20Room.jpg","mime":"image\/jpeg","size":73011,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Operating%20Room.jpg?itok=bkJ7-TI8"}}},"media_ids":["636564"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"185201","name":"HAI"},{"id":"185202","name":"hospital acquired infection"},{"id":"184341","name":"Aditya Prakash"},{"id":"4305","name":"cse"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"636196":{"#nid":"636196","#data":{"type":"news","title":"ML@GT Faculty Members Will Discuss Projects Related to Covid-19 Relief During Virtual Panel","body":[{"value":"\u003Cp\u003EThe coronavirus (Covid-19) pandemic has wreaked havoc on the world, spurring researchers across disciplines into action to help human-kind. Four researchers affiliated with the \u003Ca href=\u0022http:\/\/ml.gatech.edu\/\u0022\u003EMachine Learning Center at Georgia Tech (ML@GT)\u003C\/a\u003E and one \u003Ca href=\u0022https:\/\/omscs.gatech.edu\/\u0022\u003EOnline Master of Science in Computer Science (OMSCS)\u003C\/a\u003E student examined different aspects of the virus\u0026rsquo; impact. From creating forecasting models to studying the psychological impact of the disease, these researchers are helping people understand the virus.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOn June 24, ML@GT faculty members \u003Cstrong\u003ESrijan Kumar \u003C\/strong\u003E(School of Computational Science and Engineering,) \u003Cstrong\u003EAditya Prakash \u003C\/strong\u003E(School of Computational Science and Engineering,) \u003Cstrong\u003EMunmun De Choudhury \u003C\/strong\u003E(School of Interactive Computing,) \u003Cstrong\u003ENicoleta Serban\u0026nbsp;\u003C\/strong\u003E(H. Milton Stewart School of Industrial and Systems Engineering,) and OMSCS student \u003Cstrong\u003EKenneth Miller\u003C\/strong\u003E will participate in a virtual panel discussing their work. The panel will be moderated by ML@GT executive director \u003Cstrong\u003EIrfan Essa\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPanelists will give individual presentations before participating in a general question-and-answer segment with audience members.\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EKumar and De Choudhury will share details of their work regarding the \u003Ca href=\u0022http:\/\/ml.gatech.edu\/hg\/item\/635397\u0022\u003Epsychological impact of Covid-19\u003C\/a\u003E. Kumar will also discuss his work examining \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/635858\/predicting-hate-crimes-targeting-asian-americans-amid-covid-19-outbreak\u0022\u003Ehate and counter-hate messages on Twitter against Asian Americans\u003C\/a\u003E during the pandemic.\u003C\/li\u003E\r\n\t\u003Cli\u003EPrakash is a member of the Center for Disease Control and Prevention\u0026rsquo;s (CDC) forecasting team, and will share their \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/635849\/forecasting-covid-19-pandemic-united-states\u0022\u003Enew data-driven approach to disease forecasting\u003C\/a\u003E.\u003C\/li\u003E\r\n\t\u003Cli\u003ESerban\u0026rsquo;s presentation will focus on her work creating an \u003Ca href=\u0022https:\/\/www.georgiahealthnews.com\/2020\/05\/georgia-tech-model-predicts-spike-covid-cases-deaths\/\u0022\u003Eagent-based simulation\u0026nbsp;forecasting model\u003C\/a\u003E. This model captures the progression of the disease in an individual and in households, schools, communities, and workplaces.\u003C\/li\u003E\r\n\t\u003Cli\u003EA lawyer by day and OMSCS student by night, Miller participated in a Kaggle challenge using natural language processing and machine learning to \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/635081\/omscs-student-uses-machine-learning-help-understand-covid-19\u0022\u003Ehelp doctors and scientists read the most important studies\u003C\/a\u003E related to Covid-19.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EThe panel will take place virtually via a Bluejeans Event at 11 a.m. on June 24 and is open to the public. \u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/sfpbpsgg\u0022\u003ERegistration is required\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Members of the ML@GT community will discuss their Covid-19 related research efforts in a panel discussion on June 24, 2020."}],"uid":"34773","created_gmt":"2020-06-12 13:40:53","changed_gmt":"2020-06-15 19:52:10","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-06-12T00:00:00-04:00","iso_date":"2020-06-12T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"636195":{"id":"636195","type":"image","title":"Members of the ML@GT community will discuss their Covid-19 related research efforts in a panel discussion on June 24, 2020.","body":null,"created":"1591969094","gmt_created":"2020-06-12 13:38:14","changed":"1591969094","gmt_changed":"2020-06-12 13:38:14","alt":"Members of the ML@GT community will discuss their Covid-19 related research efforts in a panel discussion on June 24, 2020.","file":{"fid":"242073","name":"Using Machine Learning to Respond to Covid-19.png","image_path":"\/sites\/default\/files\/images\/Using%20Machine%20Learning%20to%20Respond%20to%20Covid-19.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Using%20Machine%20Learning%20to%20Respond%20to%20Covid-19.png","mime":"image\/png","size":504783,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Using%20Machine%20Learning%20to%20Respond%20to%20Covid-19.png?itok=HSZ2sXoG"}}},"media_ids":["636195"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"},{"id":"431631","name":"OMS"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"636173":{"#nid":"636173","#data":{"type":"news","title":"Research Conference Shows Social Challenges are Manifested, Magnified, and Mitigated Online at Pivotal Time for Nation","body":[{"value":"\u003Cp\u003EThe value of online mental health communities, how crisis events are described differently over time on social media, and refining how cyberbullying is detected and classified are major topics of research by Georgia Institute of Technology researchers at this week\u0026rsquo;s International Conference on Web and Social Media (ICWSM), taking place virtually. It was originally scheduled to be held in Atlanta near the Georgia Tech campus.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOver 220 academics at the 14\u003Csup\u003Eth\u003C\/sup\u003E annual event are convening and discussing work that is especially relevant during a time of an ongoing global health crisis and social unrest that has taken root across the United States.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearch in the conference proceedings include many topics directly addressing social ills and injustices that are magnified online as well as potential ways to better understand and mitigate them.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESeveral College of Computing faculty, current and former students, and postdoctoral researchers are part of the organizing committee. \u003Cstrong\u003EMunmun De Choudhury\u003C\/strong\u003E (Interactive Computing) is serving as the general chair of the conference this year. Former Human-Centered Computing PhD student \u003Cstrong\u003EStevie Chancellor\u003C\/strong\u003E is workshop chair, former Computer Science PhD student \u003Cstrong\u003ETanushree Mitra\u003C\/strong\u003E is tutorials chair, current CS PhD student \u003Cstrong\u003EKoustuv Saha\u003C\/strong\u003E is web chair, and current postdoc \u003Cstrong\u003ETalayeh Aledavood\u003C\/strong\u003E is local\/social chair. CoC faculty \u003Cstrong\u003EDiyi Yang\u003C\/strong\u003E (Interactive Computing) and \u003Cstrong\u003ESrijan Kumar\u003C\/strong\u003E (Computational Science and Engineering) are data challenge chairs.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne of the two keynotes at the conference is by IC faculty \u003Cstrong\u003EAmy Bruckman\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech has three papers in this year\u0026rsquo;s program:\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EA study in causal inference by CS PhD student \u003Cstrong\u003EKoustuv Saha\u003C\/strong\u003E that tests what leads to favorable psychosocial outcomes in mental health forums.\u003Cbr \/\u003E\r\n\t\u003Cem\u003ELink: \u003C\/em\u003E\u003Ca href=\u0022https:\/\/aaai.org\/ojs\/index.php\/ICWSM\/article\/view\/7326\u0022\u003E\u003Cem\u003Ehttps:\/\/aaai.org\/ojs\/index.php\/ICWSM\/article\/view\/7326\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003EA paper by HCC PhD student \u003Cstrong\u003EIan Stewart\u003C\/strong\u003E, with advisors \u003Cstrong\u003EDiyi Yang\u003C\/strong\u003E and \u003Cstrong\u003EJacob Eisenstein\u003C\/strong\u003E, that intends to gather a sharper view of \u0026ldquo;collective attention\u0026rdquo; on social media. Looking at descriptive details for a crisis event, researchers find that the information needed to describe that event changes as time goes on.\u003Cbr \/\u003E\r\n\t\u003Cem\u003ELink: \u003C\/em\u003E\u003Ca href=\u0022https:\/\/aaai.org\/ojs\/index.php\/ICWSM\/article\/view\/7331\u0022\u003E\u003Cem\u003Ehttps:\/\/aaai.org\/ojs\/index.php\/ICWSM\/article\/view\/7331\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003EA socially-inspired approach to detect cyberbullying online, by incoming PhD student \u003Cstrong\u003ECaleb Ziems\u003C\/strong\u003E. The paper proposes new criteria for cyberbullying (e.g. harmful intent) and finds that both text and social features help prediction. This paper has been recognized with an Honorable Mention Award, given to a total of eight papers this year.\u003Cbr \/\u003E\r\n\t\u003Cem\u003ELink: \u003C\/em\u003E\u003Ca href=\u0022https:\/\/aaai.org\/ojs\/index.php\/ICWSM\/article\/view\/7345\u0022\u003E\u003Cem\u003Ehttps:\/\/aaai.org\/ojs\/index.php\/ICWSM\/article\/view\/7345\u003C\/em\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EFor details about more research and to read the organizing committee\u0026rsquo;s full statement on the commitment to Black Lives Matter, fighting structural racism, and promoting inclusion and equity, go to \u003Ca href=\u0022https:\/\/www.icwsm.org\/2020\/index.html\u0022\u003Ehttps:\/\/www.icwsm.org\/2020\/index.html\u003C\/a\u003E. In the wake of current events in the United States, the conference made 20 registration fee waivers available for Black scholars and individuals from other marginalized groups throughout the world, and provided scheduling flexibility to speakers and attendees participating in the Shutdown STEM walkout on June 10.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe conference is sponsored by the Association for the Advancement of Artificial Intelligence.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe value of online mental health communities, how crisis events are described differently over time on social media, and refining how cyberbullying is detected and classified are major topics of research by Georgia Institute of Technology researchers at this week\u0026rsquo;s International Conference on Web and Social Media (ICWSM 2020).\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The value of online mental health communities, how crisis events are described differently over time on social media, and refining how cyberbullying is detected and classified are major topics of research from Georgia Tech at ICWSM 2020."}],"uid":"27592","created_gmt":"2020-06-11 15:20:55","changed_gmt":"2020-06-11 15:25:41","author":"Joshua Preston","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-06-10T00:00:00-04:00","iso_date":"2020-06-10T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"636174":{"id":"636174","type":"image","title":"International Conference on Web and Social Media (ICWSM 2020)","body":null,"created":"1591888971","gmt_created":"2020-06-11 15:22:51","changed":"1591888971","gmt_changed":"2020-06-11 15:22:51","alt":"","file":{"fid":"242065","name":"ICWSM 2020.png","image_path":"\/sites\/default\/files\/images\/ICWSM%202020.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/ICWSM%202020.png","mime":"image\/png","size":4680771,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/ICWSM%202020.png?itok=_IyYw1Qt"}}},"media_ids":["636174"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:jpreston@cc.gatech.edu?subject=ICWSM%202020\u0022\u003EJoshua Preston\u003C\/a\u003E\u003Cbr \/\u003E\r\nResearch Communications Manager\u003Cbr \/\u003E\r\nGVU Center and College of Computing\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"635718":{"#nid":"635718","#data":{"type":"news","title":"Meet CSE: Alexander Rodriguez is Creating Data-driven Solutions for Public Health Problems","body":[{"value":"\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/\u0022\u003EThe School of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE) offers a uniquely interdisciplinary pool of student\u0026nbsp;researchers who specialize in bridging software and hardware together with real-world applications ranging from bioinformatics to cybersecurity and more.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EToday, we\u0026rsquo;d like to introduce you to \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~acastillo41\/\u0022\u003E\u003Cstrong\u003EAlexander Rodriguez\u003C\/strong\u003E\u003C\/a\u003E, a CSE Ph.D. student specializing in machine learning, network science, and time series mining with an emphasis on data-driven solutions motivated by urban computing, community resilience, public health, and e-commerce.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECurrently, Rodriguez\u0026rsquo;s research has applications in a wide range of highly impactful areas including influenza and COVID-19 forecasting. Recently, \u003Ca href=\u0022https:\/\/www.cdc.gov\/coronavirus\/2019-ncov\/covid-data\/forecasting-us.html\u0022\u003Ehis COVID-19 forecasts\u003C\/a\u003E have been featured by the \u003Ca href=\u0022https:\/\/www.cdc.gov\/\u0022\u003ECenter for Disease Control and Prevention\u003C\/a\u003E (CDC).\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/635849\/forecasting-covid-19-pandemic-united-states\u0022\u003E\u003Cstrong\u003E[RELATED NEWS: Forecasting the COVID-19 Pandemic in the United States]\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EHometown:\u0026nbsp;\u003C\/strong\u003ELima, Peru\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EUndergraduate Degree: \u003C\/strong\u003EMechatronics Engineering\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECurrent Program: \u003C\/strong\u003EPh.D., Computer Science\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDespite studying mechatronics, a field closely related to robotics, why did you decide to come to CSE?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhen I was in my undergrad, I discovered the field of artificial intelligence (AI), and did a small AI project for robotics. I then found that machine learning (ML) was more closely related to the products and solutions I most care about. I was particularly interested in the fact that it provides methods with potential to make large impact in several disciplines in science and technology.\u0026nbsp; In this regard, the school of CSE at Georgia Tech provides a great interdisciplinary environment for ML research that fits my interests.\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhat is important to you in your machine learning research?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo address impactful problems for society, enable new discoveries, and facilitate performance needed for particular applications. For example, we have to provide highly accurate disease spread forecasts as they will be input to high level decision makers determining public policies. We aim to develop machine learning tools to enable us to have greater accuracy in these predictions. Because of this and other examples, our ML group\u0026rsquo;s research provides a way to have a larger impact on society, and that is one of its allures for me.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECan you tell us a little bit about the specific research fields you are currently working in?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERelated to disease forecasting, we are active participants in forecasting initiatives organized by the CDC for the past several years, like yearly flu forecasting projects. As COVID started, they naturally invited us to take part in forecasting COVID-related metrics such as mortality and hospitalizations. We worked in trying to incorporate domain knowledge into data-driven frameworks for forecasting. The goal is to enable experts to combine historical data with their expertise and key observations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI also worked on critical infrastructure networks. We studied how to infer what the complete state of the network is given partial information. This problem is important because in real disaster scenarios, such as when we need to restore electrical power to hospitals in the aftermath of an earthquake, we need to quickly understand what the situation is with the network. To do this quickly and effectively, we usually need to infer the extent of damage using information coming from only a few nodes so that officials can plan recovery actions. We have worked on developing algorithms for that purpose.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EHow did you become interested in these particular fields?\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI was working in data science for community resilience while getting my master\u0026rsquo;s degree at the University of Oklahoma. When I started working with Aditya Prakash, he had previously worked in critical infrastructure, and got interested in my past work. Therefore, we decided to pursue a related topic \u0026ndash; about inferring network states \u0026ndash; and it was the first project we did together\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAditya had already been working on epidemic forecasting, and I was also interested in that area of work because it not only can model the spread of a disease, but it also serves to understand other phenomena, such as how information is spread across information networks and also how failures spread in critical infrastructure systems. Understanding those fundamentals can allow us to make an impact in similar applications and I wanted to explore that with Aditya.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhy did you decide to come to Georgia Tech for your Ph.D.?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor me, I had a few offers from other Ph.D. programs, and my selection criteria was mostly dependent on my future advisor. I talked with several professors I was interviewing with, and I chose Aditya because I believed he was a good mentor. When he told me he was coming to Georgia Tech and invited me to come with him, I got excited about the opportunity and pleased for the chance to continue working with him.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI also knew Georgia Tech is a great institution with a lot of resources. To work in or near a major city means you are more likely to be in contact with greater global projects and presented with more opportunities to work with researchers and industry in other areas. I was very glad that he invited to come.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhen you\u0026rsquo;re not busy with research or forecasting, what do you like to do for fun?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne thing that I enjoy, that people may not necessarily expect from a Ph.D. student, is dancing. Because I come from South America, I grew up dancing Salsa. I really like it and it is very relaxing for me. I also dance cumbia which is popular in Peru, and Argentina. For this, I might go to events organized by one of the university student clubs called \u003Ca href=\u0022https:\/\/www.facebook.com\/gtsalsa\/\u0022\u003E\u003Cstrong\u003EGTSalsa\u003C\/strong\u003E\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Ph.D. Student Alexander Rodriguez introduces us to his recent research including disease forecasting for the CDC."}],"uid":"34540","created_gmt":"2020-05-27 17:16:03","changed_gmt":"2020-06-05 18:29:45","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-06-05T00:00:00-04:00","iso_date":"2020-06-05T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"635717":{"id":"635717","type":"image","title":"Alexander Rodriguez","body":null,"created":"1590599309","gmt_created":"2020-05-27 17:08:29","changed":"1590599309","gmt_changed":"2020-05-27 17:08:29","alt":"Alexander Rodriguez wearing a dark blue collared shirt in an industrial style hallway.","file":{"fid":"241889","name":"Alexander_Rodriguez2.jpg","image_path":"\/sites\/default\/files\/images\/Alexander_Rodriguez2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Alexander_Rodriguez2.jpg","mime":"image\/jpeg","size":3935215,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Alexander_Rodriguez2.jpg?itok=BdMHEl5Q"}}},"media_ids":["635717"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"1096","name":"Ph.D."},{"id":"184940","name":"disease forecasting"},{"id":"184289","name":"covid-19"},{"id":"123","name":"CDC"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer I\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"635991":{"#nid":"635991","#data":{"type":"external_news","title":"ML@GT to Present Diverse Research Interests at CVPR 2020","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-06-05 17:39:37","changed_gmt":"2020-06-05 17:39:37","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/bit.ly\/3de5hyl","dateline":{"date":"2020-06-05T00:00:00-04:00","iso_date":"2020-06-05T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"635397":{"#nid":"635397","#data":{"type":"news","title":"NSF Grant to Fund Georgia Tech Research into Psychological Impact of COVID-19","body":[{"value":"\u003Cp\u003EArguably the most visible of all prescriptions to the COVID-19 pandemic this year have been guidelines or imposed restrictions commonly referred to as \u0026ldquo;social distancing.\u0026rdquo; Less physical contact, the thinking goes, means a lowered risk of viral transmission.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELike the virus itself, however, stress and anxiety stemming from overconsumption of news or other media can spread through social networks. As the mental health fallout becomes clearer, are some similar social media distancing recommendations needed to stem the flow through the online world?\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA multidisciplinary team of researchers at Georgia Tech, Washington University-St. Louis, and the University of Wisconsin-Madison argue that these mental health implications of the pandemic are equally important, and \u003Ca href=\u0022https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=2027689\u0022\u003Ea new grant from the National Science Foundation (NSF) has recently funded new research to that effect\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It\u0026rsquo;s not just the fear and anxiety that I might get infected or I might infect or know someone who is infected,\u0026rdquo; said \u003Cstrong\u003EMunmun De Choudhury\u003C\/strong\u003E, an associate professor in Georgia Tech\u0026rsquo;s \u003Ca href=\u0022http:\/\/ic.gatech.edu\/\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E and the co-principal investigator on the project. \u0026ldquo;It\u0026rsquo;s all of these things around it that are furthering the psychological impact. It\u0026rsquo;s very different from other kinds of illnesses or pandemics because of the uncertainty of the crisis. We simply don\u0026rsquo;t know how long we are into it.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe grant is funded by the NSF\u0026rsquo;s Rapid Response Project program, which is intended for research that addresses an immediate need within society. It has provided $200,000 toward the yearlong project.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe research will combine investigations in two separate environments: the online world, where news, personal posts, videos, and other media are shared rampantly across social networks, and the offline real world, where the epidemiological data about the spread of the virus or economic data about the financial fallout can be measured.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor the former, they will use social media data from various popular social platforms \u0026ndash; Twitter, Reddit, and YouTube \u0026ndash; to measure the spread of information and how consumers of it express themselves in terms of anxiety or fear, or what they are saying about their own psychological wellbeing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;How often are people expressing anger or fear or blaming someone through their posts?\u0026rdquo; said \u003Cstrong\u003ESrijan Kumar\u003C\/strong\u003E, an assistant professor in Georgia Tech\u0026rsquo;s \u003Ca href=\u0022http:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E and the other co-principal investigator. \u0026ldquo;We\u0026rsquo;ll develop new classifiers using natural language processing that will help us classify social posts into two categories: either anxiety-inducing or anxiety itself.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis is new territory, according to De Choudhury. Although there have been other pandemics such as the 1918 influenza epidemic, none of this magnitude have taken place during the digital\/social age. And while social media provides an important mechanism for staying informed and remaining in contact with friends and loved ones during the difficult social distancing measures, overexposure could result in negative mental health consequences.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;There is probably a sweet spot,\u0026rdquo; De Choudhury said. \u0026ldquo;Just like we need physical distancing in the real world, we probably need to practice distancing from social media or online information to an extent to avoid consuming too much anxiety-inducing media, while also staying informed.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;If I say something, it doesn\u0026rsquo;t just affect me. It affects all the people who read my posts. If they share it or if they post something, then it affects all of their social neighbors. It can be an outward ripple that affects people. We want to measure that, how they spread through social networks.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThey\u0026rsquo;ll compare that data with the other element: the offline world. Currently, people in New York City are likely more stressed and anxious in a different way than people in Georgia. New York has been the epicenter of the viral outbreak in the United States, meaning that much of the anxiety locally stems from the virus itself.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EWill I contract the virus? Will someone I know contract the virus? Can I go to the store for groceries? How much disinfecting is required when I return home?\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnd then, you can tease out that geographical data. How are higher-income individuals stressed in comparison to lower-income? What about differences along racial lines? Data has shown higher mortality rates in African-Americans, for example, which leads to different fears than those in other communities.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn U.S. cities where there is also sufficient social media data, they will examine this offline data to see rates of infection, fatalities, when shelter-in-place was imposed, and more.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe final piece will be what they will do with this information. The goal is to create tools for social platforms to provide coping techniques or guidelines for use.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Maybe that might include encouraging you to limit the amount of time you spend on social media,\u0026rdquo; Kumar said. \u0026ldquo;Or, maybe you step out and do something with family members. Some kind of physical activity. Then we can begin to examine how people react to these messages. Do we see that their anxiety levels are coming down, or not?\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In this time, we have a very unique lens to study this pandemic in a whole new light as opposed to other events of a global scale,\u0026rdquo; De Choudhury said. \u0026ldquo;There is no guarantee this won\u0026rsquo;t come back. And even if it doesn\u0026rsquo;t, something else will. Being able to have these tools built and available will better prepare us for the future.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor more coverage of Georgia Tech\u0026rsquo;s response to the coronavirus pandemic, please visit our \u003Ca href=\u0022https:\/\/helpingstories.gatech.edu\/\u0022\u003EResponding to COVID-19 page\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A multidisciplinary team of researchers has received a grant from the NSF to study the mental health outcomes of COVID-19 through examination of social media activity and geographic epidemiological data."}],"uid":"33939","created_gmt":"2020-05-15 16:40:10","changed_gmt":"2020-06-04 13:09:47","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-05-15T00:00:00-04:00","iso_date":"2020-05-15T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"635396":{"id":"635396","type":"image","title":"Munmun De Choudhury and Srijan Kumar","body":null,"created":"1589560736","gmt_created":"2020-05-15 16:38:56","changed":"1589560736","gmt_changed":"2020-05-15 16:38:56","alt":"Munmun De Choudhury and Srijan Kumar","file":{"fid":"241787","name":"NSF RAPID GRANT - Munmun and Srijan.png","image_path":"\/sites\/default\/files\/images\/NSF%20RAPID%20GRANT%20-%20Munmun%20and%20Srijan.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/NSF%20RAPID%20GRANT%20-%20Munmun%20and%20Srijan.png","mime":"image\/png","size":1487509,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/NSF%20RAPID%20GRANT%20-%20Munmun%20and%20Srijan.png?itok=8E8NSuCB"}}},"media_ids":["635396"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"184821","name":"cc-research; ic-hcc; ic-ai-ml; COVID-19"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"635700":{"#nid":"635700","#data":{"type":"news","title":"Researchers Use Machine Learning to Fight COVID-19 Disinformation","body":[{"value":"\u003Cp\u003EDisinformation on COVID-19 spreads almost faster than the disease.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo ensure Americans can find the most accurate information, College of Computing researchers are creating machine-learning (ML) and data science tools to help fact-checkers be more efficient.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EThe Disinformation Dilemma \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlthough having high-quality news is important any time, the ever-changing nature of COVID-19 makes it even more vital that users have access to vetted information. Many Americans receive their news from social media, where rumors can be shared as much as memes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Rumors, hoaxes, fake cures, bioweapon claims, and disinformation campaigns about COVID-19 are prevalent on social media,\u0026rdquo; said School of Computational Science and Engineering Assistant Professor \u003Ca href=\u0022https:\/\/cs.stanford.edu\/~srijan\/\u0022\u003E\u003Cstrong\u003ESrijan Kumar\u003C\/strong\u003E\u003C\/a\u003E. \u0026ldquo;These induce anger, anxiety, and stress in readers, and in many cases, have even led to fatalities, such as hydroxychloroquine overdose.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENewsroom fact-checkers are at forefront of fighting against false information, but manually verifying every fact is time-consuming at best and nearly impossible in the age of COVID-19. So Kumar and School of Computer Science Professor \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~mustaq\/#biography\u0022\u003E\u003Cstrong\u003EMustque Ahamad\u003C\/strong\u003E\u003C\/a\u003E are building data-driven, secure solutions for fact checking.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EA Next-Generation Solution\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKumar and Ahamad are a well-matched team. In his past cybersecurity research, Ahamad has worked with professional fact-checkers to determine what they need to complete their work at news organizations. Kumar, for his part, has been building ML and data-driven tools to detect disinformation. COVID-19 seemed like a natural pairing for the two.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Together, we started collaborating to build the next generation of data-driven and security-minded solutions for effective fact checking,\u0026rdquo; Kumar said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETheir solution is to do early detection of disinformation before it even gets to the fact-checkers. With this in mind, they plan to develop ML techniques to remove deliberately misleading information from the news.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETheir ML models will be able to learn the difference between true versus false information with only a few training data points.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Our models will triage the cases that are most likely to be false in order of their impact on the readers,\u0026rdquo; Kumar said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe models will also be customizable to the individual fact-checker\u0026rsquo;s topical, geographical, and language preferences. As the project develops, Kumar and Ahamad will collaborate with professional fact-checkers to ensure the models are effective throughout the research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Our framework will bring together a one-stop-shop for group of fact checkers to collaboratively identify false information,\u0026rdquo; Kumar said. \u0026ldquo;This information can then be shipped to appropriate stakeholders, so that the readers can be appropriately alerted when they view it and the hoaxes can be\u0026nbsp;removed from social media circulation.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor more coverage of Georgia Tech\u0026rsquo;s response to the coronavirus pandemic, please visit our \u003Ca href=\u0022https:\/\/helpingstories.gatech.edu\/\u0022\u003EResponding to COVID-19 page\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"To ensure Americans can find the most accurate information, College of Computing researchers are creating machine-learning (ML) and data science tools to help fact-checkers be more efficient."}],"uid":"34541","created_gmt":"2020-05-26 20:39:52","changed_gmt":"2020-06-04 13:08:20","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-05-26T00:00:00-04:00","iso_date":"2020-05-26T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"635701":{"id":"635701","type":"image","title":"Disinformation","body":null,"created":"1590526655","gmt_created":"2020-05-26 20:57:35","changed":"1590526655","gmt_changed":"2020-05-26 20:57:35","alt":"","file":{"fid":"241879","name":"magnifier-424566_1280.jpg","image_path":"\/sites\/default\/files\/images\/magnifier-424566_1280.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/magnifier-424566_1280.jpg","mime":"image\/jpeg","size":274329,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/magnifier-424566_1280.jpg?itok=vxDo7lkL"}}},"media_ids":["635701"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"145171","name":"Cybersecurity"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"635858":{"#nid":"635858","#data":{"type":"news","title":"Predicting Hate Crimes Targeting Asian Americans Amid COVID-19 Outbreak","body":[{"value":"\u003Cp\u003EAs COVID-19 has spread across the globe, reports of harassment and cases of violent attacks aimed towards Asians and Asian Americans have dramatically increased.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFortunately, researchers from Georgia Tech have found a way to \u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2005.12423\u0022\u003Etrack and predict these cases \u003C\/a\u003Eas, and potentially even before, they happen.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In many unfortunate documented cases, xenophobic behaviors excited by the coronavirus have led to extreme physical harm to the victims and mental distress for others in the community. We are developing methods that leverage social media and news signals to measure how targeted hate and racism has spread worldwide, and use data-driven solutions to forecast future attacks,\u0026rdquo; said\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE) Assistant Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/cs.stanford.edu\/~srijan\/\u0022\u003E\u003Cstrong\u003ESrijan Kumar.\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETracking Disease Spread and Monitoring Social Media to Predict Hate\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKumar and his lab, \u003Ca href=\u0022http:\/\/claws.cc.gatech.edu\/covid\u0022\u003ECLAWS\u003C\/a\u003E, are developing a\u0026nbsp;\u003Ca href=\u0022http:\/\/claws.cc.gatech.edu\/covid\u0022\u003Edata science pipeline\u003C\/a\u003E\u0026nbsp;that uses epidemiological models of disease spread together with a database of social media and news reports to predict how online anti-Asian rhetoric spreads and how real-world cases of harassment will happen over time and in different places.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe data pipeline will combine online sources from news and social media platforms with offline sources, such as reports of physical abuse and racial incidents, to measure how targeted harassment is spreading in online and physical communities while comparing the spread side-by-side with the disease coverage.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThere are five levels of harassment, with the first level being the least damaging. Each level after is subsequentially more aggressive, with the fifth level including fatalities caused by hate crimes.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We are coding up each incident with a corresponding number and then scraping news websites, collecting all the race incidents and physical abuse incidents in the real world, and essentially creating a timeline of how things have progressed,\u0026rdquo; said Kumar.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Another piece of offline data we are collecting is the epidemiological spread of how the virus has progressed throughout the U.S. and the world. Our hypothesis is as this virus is spreading through different cities and different states, people get more alarmed and scared, and that anxiety leads to more online and offline hate and harassment in those particular cities,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKumar\u0026rsquo;s team is the first ever to create a real-time database and pipeline that can forecast deviant behaviors using disease spread as an indicator.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;People are worried about their loved ones. The coronavirus has disrupted everyone\u0026rsquo;s daily routines. People have experienced loss of employment. There is a lot of economic, societal, and health hardship. These bring out very strong negative emotions in people and we see that both in the online platforms and also in the real world,\u0026rdquo; said Kumar.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EFuture Use Cases: Public Safety for Marginalized Communities\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERecently, the\u0026nbsp;\u003Ca href=\u0022https:\/\/abcnews.go.com\/US\/fbi-warns-potential-surge-hate-crimes-asian-americans\/story?id=69831920\u0022\u003EFBI sent out warnings of potential hate crimes\u003C\/a\u003E\u0026nbsp;against Asian Americans and\u0026nbsp;\u003Ca href=\u0022https:\/\/bringmethenews.com\/minnesota-news\/hotline-to-report-discrimination-amid-covid-19-outbreak-launched-in-minnesota\u0022\u003EMinnesota opened a hotline\u003C\/a\u003E\u0026nbsp;to report such incidents after seeing a dramatic increase of cases since coronavirus began spreading in the U.S.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKumar said, \u0026ldquo;We started seeing a lot of hate, harassment, and incidents against Asians and Asian-looking Americans very early on in the news cycle surrounding the coronavirus. It got us thinking how we could use these tools and technologies that we are developing in the lab to combat this phenomenon which is impacting everyone\u0026rsquo;s life. This is essentially about public safety for marginalized communities, which is a big issue.\u0026rdquo;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe pipeline Kumar\u0026rsquo;s team developed is general enough to be customizable to different actives, such as monitoring and predicting harassment of other minority groups, drug use, child abuse, suicides, and more.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;When pandemics or crises happen, there is an increase of public health and safety issues. So, we are using this particular framework as a first-use case to track and predict these problems and we plan to expand to others,\u0026rdquo; said Kumar.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs of this time, Kumar\u0026rsquo;s team is particularly interested in researching local Georgia cases and hope to work alongside and share their technology with local agencies, organizations, non-governmental organizations, and law enforcement in the future.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This is a very sensitive and very important topic that can impact people around the world. And we are seeing these incidents not just in the U.S. but also in other countries such as India and Australia,\u0026rdquo; he said. \u0026ldquo;We hope that our tech can help improve people\u0026rsquo;s lives everywhere.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor more coverage of Georgia Tech\u0026rsquo;s response to the coronavirus pandemic, please visit our \u003Ca href=\u0022https:\/\/c.gatech.edu\/COVID19Help\u0022\u003EResponding to COVID-19 page\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":[{"value":"Racism is a Virus"}],"field_summary":"","field_summary_sentence":[{"value":"CSE Assistant Professor Srijan Kumar and his lab, CLAWS, are the first to discover a discernible link between disease spread and hate crime incidents."}],"uid":"34540","created_gmt":"2020-06-01 15:45:30","changed_gmt":"2020-06-04 13:02:14","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-06-01T00:00:00-04:00","iso_date":"2020-06-01T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"635857":{"id":"635857","type":"image","title":"xenophobia","body":null,"created":"1591025954","gmt_created":"2020-06-01 15:39:14","changed":"1591025954","gmt_changed":"2020-06-01 15:39:14","alt":"xenophobia","file":{"fid":"241923","name":"xenophobia.jpg","image_path":"\/sites\/default\/files\/images\/xenophobia_1.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/xenophobia_1.jpg","mime":"image\/jpeg","size":7667,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/xenophobia_1.jpg?itok=0u8MNjAY"}}},"media_ids":["635857"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"184981","name":"xenophobia"},{"id":"3872","name":"racism"},{"id":"184982","name":"hate crimes"},{"id":"184289","name":"covid-19"},{"id":"184983","name":"Srijan Kumar"},{"id":"4305","name":"cse"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"635849":{"#nid":"635849","#data":{"type":"news","title":"Forecasting the Covid-19 Pandemic in the United States","body":[{"value":"\u003Cp\u003EThe\u0026nbsp;\u003Ca href=\u0022http:\/\/www.cdc.gov\/\u0022\u003ECenters of Disease Control and Prevention\u003C\/a\u003E\u0026nbsp;(CDC) is hosting forecasting projects to predict the Covid-19 spread, number of hospitalizations, flu-like-symptoms, and deaths caused by the disease across the country.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis critically timed effort is comprised of a handful of teams which include data scientists, epidemiologists, statisticians, and high-performance computing (HPC) researchers from national laboratories, public universities, public health institutions, and some private sector agents.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech\u0026rsquo;s School of Computational Science and Engineering (CSE) Associate Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~badityap\u0022\u003E\u003Cstrong\u003EB. Aditya Prakash\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;and CSE Ph.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~acastillo41\/\u0022\u003E\u003Cstrong\u003EAlexander Rodriguez\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;are leading one of the collaborative teams on these projects and are using a new data-driven approach to disease forecasting.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETheir team is using deep learning models to\u0026nbsp;forecast specific targets related to the trajectory of Covid-19 at the national, regional, state, and local levels. The CDC synthesizes their weekly and monthly predictions with other models to help determine policy and other planning decisions to help communities prepare for and fight the disease.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We want to predict early to give lead times to decision makers to decide appropriately when to and how to allocate resources such as determining where to send ventilators, where additional beds are most critically needed, vaccine creation timelines, implementing temporary shelter in-place orders, whether additional guidance to state and local authorities is needed, and more,\u0026rdquo; said Prakash.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPrakash\u0026nbsp;is an expert in using data science for epidemiology and infectious diseases and has been a lead team researcher on preexisting\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~badityap\/papers\/epideep-kdd19.pdf\u0022\u003Einfluenza forecasting projects with the CDC\u003C\/a\u003E\u0026nbsp;since 2018. He is also part of a recently awarded National Science Foundation (NSF)\u0026nbsp;\u003Ca href=\u0022https:\/\/computational-epidemiology.org\/about-us\u0022\u003EExpeditions in Computational Epidemiology\u003C\/a\u003E\u0026nbsp;grant that is actively working with multiple federal and state agencies to support response efforts for the current pandemic. Prakash\u0026rsquo;s portion of the project is aimed toward developing data science methods for public health problems ranging from epidemic detection to inference and control. He will also use Georgia Tech\u0026rsquo;s largest HPC resource, the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/629130\/hive-supercomputer-makes-its-debut\u0022\u003EHive supercomputer\u003C\/a\u003E, for running his large-scale models.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EThe Aid of a Public Health Surveillance Network\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBy using\u0026nbsp;data captured by the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cdc.gov\/flu\/weekly\/index.htm#S4\u0022\u003EU.S. Outpatient Influenza-like Illness Surveillance Network\u003C\/a\u003E\u0026nbsp;(ILINet),\u0026nbsp;and the Covid-19 Associated Surveillance Network,\u0026nbsp;the forecasting teams are provided with real-time health data from health providers across the United States.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Predicting when diseases will peak, when they will be above a certain baseline, when they will be below a baseline, and so on, is all very useful,\u0026rdquo; said Prakash. \u0026ldquo;The CDC has run similar influenza forecasting projects for the past few years in which all the teams taking part in the challenge forecast real-time predictions for flu-like illness across the US.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;So, after Covid-19 started, naturally one big question that arose was, \u0026lsquo;Can we use this type of system to do Covid-19 forecasting?\u0026rsquo;,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAfter a few months of planning and working with various stakeholders like local and national health partners, and in consultation with the forecasting teams, the CDC set up multiple Covid\u0026nbsp;forecasting projects, each predicting different metrics related to the trajectory.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It was great to see these groups come together quickly,\u0026rdquo; said Prakash.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECurrent Benefits and Challenges Facing Forecasting Models\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn addition to CDC ILI and Covid\u0026nbsp;data, Prakash\u0026rsquo;s team is incorporating many other real-time datasets such as\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cdc.gov\/ehrmeaningfuluse\/Syndromic.html\u0022\u003Esyndromic surveillance data\u003C\/a\u003E\u0026nbsp;and point-of-care data from leading providers. His team combines these datasets with domain knowledge using end-to-end deep learning models to predict targets on a weekly basis. Currently, their team is focusing more on near-term forecasts as opposed to very long-term projections.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHowever, according to Prakash, there are added challenges in tracking and predicting the Covid-19 disease spread for both traditional models and his team\u0026rsquo;s new deep learning model. This includes the fact that people are still learning about the epidemiology of the virus \u0026ndash; such as the proportion of asymptomatic cases, new data surrounding the epidemic is being continuously added \u0026ndash; such as new tests, and there is a large heterogeneity in the evolving US response \u0026ndash; such as the wide variety of interventions and strategies implemented across the different states.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnother added challenge is that there is no real historical data to compare to, as it is a novel virus. For instance, Prakash\u0026rsquo;s team\u0026rsquo;s historical model was based on past influenza seasons. This will become even more challenging in the fall season when any Covid-19 cases will coincide with the usual flu season in the US.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDue to these added factors, Prakash\u0026rsquo;s team has to diligently avoid pitfalls of blanket assumptions from the model \u0026ndash; an issue which they are addressing by adding an increased layer of interpretability for their model\u0026rsquo;s output. They hope that the forecasts help the decision makers see what they should expect in the near future.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The coronavirus pandemic is like a natural disaster, if you can predict it earlier then that is better, as you want longer lead times to prepare. However, this is unlike weather forecasting, which also aims to help communities prepare. Human decisions do not change whether it is going to be sunny or not,\u0026rdquo; said Prakash.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In contrast, human behavior can change the outcome of an epidemic. If we predict it\u0026rsquo;s going to be large outbreak, and everyone decides to stay home, it will fizzle out and nullify the prediction, and that\u0026rsquo;s a good thing! This is the tricky part of disease forecasting.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECurrently, one of the biggest challenges the forecasting teams face, stresses Prakash, is quickly detecting, predicting, and reacting if any secondary waves of infection begin.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor more coverage of Georgia Tech\u0026rsquo;s response to the coronavirus pandemic, please visit our \u003Ca href=\u0022https:\/\/helpingstories.gatech.edu\/\u0022\u003EResponding to COVID-19 page\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Associate Professor Aditya Prakash and CSE Ph.D. student Alexander Rodriguez are leading a CDC research team using data science to forecast COVID-19 deaths and hospitalizations."}],"uid":"34540","created_gmt":"2020-06-01 14:07:29","changed_gmt":"2020-06-04 12:57:47","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-06-01T00:00:00-04:00","iso_date":"2020-06-01T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"635848":{"id":"635848","type":"image","title":"COVID-19 National Deaths Forecast","body":null,"created":"1591019994","gmt_created":"2020-06-01 13:59:54","changed":"1591019994","gmt_changed":"2020-06-01 13:59:54","alt":"US national death trajectory caused by COVID-19 through June","file":{"fid":"241915","name":"Screen Shot 2020-06-01 at 9.53.39 AM.png","image_path":"\/sites\/default\/files\/images\/Screen%20Shot%202020-06-01%20at%209.53.39%20AM.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Screen%20Shot%202020-06-01%20at%209.53.39%20AM.png","mime":"image\/png","size":499193,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Screen%20Shot%202020-06-01%20at%209.53.39%20AM.png?itok=Pg5jv_8S"}}},"media_ids":["635848"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"635715":{"#nid":"635715","#data":{"type":"news","title":"Making Crime Data More Accessible and User Friendly","body":[{"value":"\u003Cdiv\u003EWe use crime data to inform our decisions on where to move, what schools to enroll our children in, where to develop businesses, and more. Despite its impact on our decision making, however, most crime data reports cannot be understood by the average viewer.\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\u003Cstrong\u003EAustin Wright\u003C\/strong\u003E, a\u0026nbsp;Ph.D. student in the\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE),\u0026nbsp;is hoping to correct this data divide in\u0026nbsp;collaboration with Professor\u0026nbsp;\u003Cstrong\u003EScott Jacques\u0026nbsp;\u003C\/strong\u003Efrom the Andrew Young School of Public Policy at Georgia State University (GSU).\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003ETogether, with data acquired by the GSU police department and other experts in the field, Jacques and Wright are working to develop novel data analysis and visualization tools to make crime and criminology data and trends more accessible.\u0026nbsp;\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\u0026ldquo;Currently, the availability of standardized and up-to-date crime incidence data from the federal government is complicated by the tools used for dissemination. Furthermore, the audience for whom this data is the most important, often does not have extensive training in data visualization and analysis; which can lead to erroneous conclusions or misleading charts in news publications or even in academic research,\u0026rdquo; said Wright.\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003EBy making the process of scraping up-to-date data easier, and then enabling subject matter experts to more effectively generate quantitative analyses, this research can make insights from existing data more readily available to those in academia and the general public.\u0026nbsp;\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003EThe interdisciplinary project makes use of a wide variety of methodologies including human centered design practices, data visualization and automated data analysis, as well as computer science and social science analysis.\u0026nbsp;\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003EThis cross-institute partnership is made possible through the GT-GSU Public Interest Technology (PIT) program, which was founded to support collaborations between technologists and social scientists. The PIT program specifically works to alleviate the continued equity challenges of the Southeast region and provides a model for regional PIT work focused on community challenges.\u0026nbsp;\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E[\u003Ca href=\u0022https:\/\/news.gatech.edu\/2019\/10\/07\/new-partnership-georgia-state-looks-computing-solutions-social-challenges\u0022\u003ERelated News:\u0026nbsp;New Partnership with Georgia State Looks for Computing Solutions to Social Challenges\u003C\/a\u003E]\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003EAs part of this program, Wright was selected as a GT-GSU PIT Fellow for 2020 to develop research for crime data. His interest in this field came about after being introduced to Jacques through\u0026nbsp;a meeting with\u0026nbsp;\u003Ca href=\u0022https:\/\/scs.gatech.edu\/\u0022\u003ESchool of Computer Science\u003C\/a\u003ERegents\u0026rsquo; Professor\u0026nbsp;Ellen Zegura,\u0026nbsp;the co-lead of the Civic Data Science and\u0026nbsp;\u003Ca href=\u0022https:\/\/finaid.gatech.edu\/data-science-social-good-fws-opportunity\u0022\u003EData Science for Social Good\u003C\/a\u003E\u0026nbsp;(DSSG) Programs.\u0026nbsp;\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\u0026ldquo;During my first semester at Tech I focused on trying to build as many connections as possible with researchers in the space of trying to make machine learning and data science work for the public good. Luckily, Professor Zegura was in the process of setting up a cross-institute collaboration with Georgia State for just that purpose, which is now the PIT Fellows Program,\u0026rdquo; said Wright.\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Ph.D. Student Austin Wright was announced as a GSU-GT PIT Fellow. "}],"uid":"34540","created_gmt":"2020-05-27 16:45:29","changed_gmt":"2020-05-27 16:46:00","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-05-27T00:00:00-04:00","iso_date":"2020-05-27T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"635714":{"id":"635714","type":"image","title":"Austin Wright","body":null,"created":"1590597747","gmt_created":"2020-05-27 16:42:27","changed":"1590597747","gmt_changed":"2020-05-27 16:42:27","alt":"Austin Wright wearing a blue pullover and glasses in an industrial style hallway","file":{"fid":"241888","name":"Austin_Wright5.jpg","image_path":"\/sites\/default\/files\/images\/Austin_Wright5.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Austin_Wright5.jpg","mime":"image\/jpeg","size":1881337,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Austin_Wright5.jpg?itok=nzJG6shk"}}},"media_ids":["635714"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"184936","name":"Austin Wright"},{"id":"96631","name":"Data Science for Social Good"},{"id":"184937","name":"PIT Fellow"},{"id":"368","name":"Fellowship"},{"id":"1096","name":"Ph.D."},{"id":"4305","name":"cse"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer I\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"634312":{"#nid":"634312","#data":{"type":"news","title":"Machine Learning Technique Helps Wearable Devices Get Better at Diagnosing Sleep Disorders and Quality","body":[{"value":"\u003Cp\u003EGetting diagnosed with a sleep disorder or assessing quality of sleep is an often expensive and tricky proposition, involving sleep clinics where patients are hooked up to sensors and wires for monitoring.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWearable devices, such as the Fitbit and Apple Watch, offer less intrusive and more cost-effective sleeping monitoring, but the tradeoff can be inaccurate or imprecise sleep data.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearchers at the Georgia Institute of Technology are working to combine the accuracy of sleep clinics with the convenience of wearable computing by developing machine learning models, or smart algorithms, that provide better sleep measurement data as well as considerably faster, more energy-efficient software.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team is focusing on electrical ambient noise\u0026nbsp;that is emitted by devices but that is often not audible and can interfere with sleep sensors on a wearable gadget. Leave the TV on at night, and the electrical signal - not the infomercial in the background - might mess with your sleep tracker.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/cse.gatech.edu\/news\/616715\/new-deep-learning-approach-improves-access-sleep-diagnostic-testing\u0022\u003E[Related News:\u0026nbsp;New Deep Learning Approach Improves Access to Sleep Diagnostic Testing]\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese additional electrical signals are problematic for wearable devices that typically have only one sensor to measure a single biometric data point, normally heart rate. A device picking up signals from ambient electrical noise skews the data and leads to potentially misleading results.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We are building a new process to help train [machine learning] models to be used for the home environment and help address this and other issues around sleep,\u0026rdquo; said\u0026nbsp;\u003Cstrong\u003EScott Freitas\u003C\/strong\u003E, a second-year machine learning Ph.D. student and co-lead author of a newly published\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2001.11363.pdf\u0022 target=\u0022_blank\u0022\u003Epaper\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team employed adversarial training in tandem with spectral regularization, a technique that makes neural networks more robust to electrical signals in the input data. This means that the system can accurately assess sleep stages even when an EEG signal is corrupted by additional signals like a TV or washing machine.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUsing machine-learning methods such as sparsity regularization, the new model can also compress the amount of time it takes to gather and analyze data, as well as increase energy efficiency of the wearable device.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe researchers are testing with a product worn on the head but hope to also integrate it into smartwatches and bracelets. Results would then be transmitted to a person\u0026rsquo;s doctor to analyze and provide a diagnosis. This could result in fewer visits to the doctor, reducing the cost, time, and stress involved with receiving a sleep disorder diagnosis.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnother issue that the researchers are looking at is reducing the\u0026nbsp;amount\u0026nbsp;of sensors needed to accurately track sleep.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;When someone visits a sleep clinic, they are hooked up to all kinds of monitors and wires to gather data ranging from brain activity on EEG\u0026rsquo;s, heart rate, and more. Wearable tech only monitors heart rate with one sensor. The one sensor is more ideal and comfortable, so we are looking for a way to get more data without adding more wires or sensors,\u0026rdquo; said\u0026nbsp;\u003Cstrong\u003ERahul Duggal\u003C\/strong\u003E, a second-year computer science Ph.D. student and co-lead author.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team\u0026rsquo;s work is published in the paper\u0026nbsp;\u003Cem\u003EREST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild\u003C\/em\u003E,\u0026nbsp;accepted to the\u0026nbsp;\u003Ca href=\u0022https:\/\/www2020.thewebconf.org\/\u0022 target=\u0022_blank\u0022\u003EInternational World Wide Web Conference\u0026nbsp;(WWW)\u003C\/a\u003E, scheduled to take place April 20 through 24 in Taipei, Taiwan.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"ML@GT researchers are improving the accuracy and efficiency of devices used to track sleeping using machine learning techniques."}],"uid":"34773","created_gmt":"2020-04-13 17:47:08","changed_gmt":"2020-05-21 13:30:25","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-04-15T00:00:00-04:00","iso_date":"2020-04-15T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"634311":{"id":"634311","type":"image","title":"ML@GT researchers are improving the accuracy and efficiency of devices used to track sleeping using machine learning techniques.","body":null,"created":"1586799743","gmt_created":"2020-04-13 17:42:23","changed":"1586799743","gmt_changed":"2020-04-13 17:42:23","alt":"woman sleeping","file":{"fid":"241370","name":"kinga-cichewicz-5NzOfwXoH88-unsplash.jpg","image_path":"\/sites\/default\/files\/images\/kinga-cichewicz-5NzOfwXoH88-unsplash.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/kinga-cichewicz-5NzOfwXoH88-unsplash.jpg","mime":"image\/jpeg","size":770009,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/kinga-cichewicz-5NzOfwXoH88-unsplash.jpg?itok=hU7kSCg6"}}},"media_ids":["634311"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"1299","name":"GVU Center"}],"categories":[],"keywords":[{"id":"184463","name":"sleep tracking"},{"id":"9167","name":"machine learning"},{"id":"2556","name":"artificial intelligence"},{"id":"365","name":"Research"}],"core_research_areas":[{"id":"39451","name":"Electronics and Nanotechnology"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"634716":{"#nid":"634716","#data":{"type":"news","title":"Two CSE Faculty Welcomed to the 2020 Class of SIAM Fellow","body":[{"value":"\u003Cp\u003EInterim Chair and Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~saluru\/\u0022\u003E\u003Cstrong\u003ESrinivas Aluru\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;and\u0026nbsp;CSE Professor and Associate Chair\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~umit\/\u0022\u003E\u003Cstrong\u003E\u0026Uuml;mit V. \u0026Ccedil;ataly\u0026uuml;rek\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;have both been inducted into the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.siam.org\/prizes-recognition\/fellows-program\/all-siam-fellows\/class-of-2020\u0022\u003E2020 Class of Society of Industrial and Applied Mathematics (SIAM) Fellows.\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENominated for exemplary research and outstanding service to the SIAM community, Aluru and \u0026Ccedil;ataly\u0026uuml;rek\u0026rsquo;s nominations account for two of the 28 inducted into this year\u0026rsquo;s international fellows program.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u0026Uuml;mit V. \u0026Ccedil;ataly\u0026uuml;rek\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026Ccedil;ataly\u0026uuml;rek\u0026nbsp;is being recognized by SIAM for his contributions\u0026nbsp;to the fields of combinatorial scientific computing, and high-performance and parallel algorithms \u0026ndash; fields of research in which he has won a\u0026nbsp;number of awards in prior.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis award listing includes a\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nsf.gov\/funding\/pgm_summ.jsp?pims_id=503214\u0022\u003ENational Science Foundation (NSF) CAREER\u003C\/a\u003E\u0026nbsp;award and\u0026nbsp;a\u0026nbsp;\u003Ca href=\u0022https:\/\/www.computer.org\/press-room\/2015-news\/cs-fellows-2016\u0022\u003EClass of 2016\u003C\/a\u003E\u0026nbsp;\u0026nbsp;IEEE Fellow for his research contributions to the fields of discrete algorithms and high-performance computing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Discrete algorithms, and in particular, graph and hypergraph algorithms, are my passion. When solving some of the problems, I feel like a child trying to solve a puzzle,\u0026rdquo; he said.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;To solve larger problems, we need parallel algorithms because the problems either do not fit on a single computer or we need to make the solutions more efficient and useful in real-life settings.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis idea of solving for these larger problems is where combinatorial scientific computing comes into play. This interdisciplinary research area uses graphs and parallel algorithms to solve computational science and engineering problems on large-scale HPC architectures. Combinatorial problems arise in many different fields of science, such as when constructing the genome of a new species that is being sequenced for the first time.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;At the core of almost all large-scale scientific computing is the question of how to partition and assign work and computation to processors of a large complex parallel system, and how to orchestrate the execution to minimize execution time, or energy consumption. These are some of the fundamental questions I try to answer in my research,\u0026rdquo; said \u0026Ccedil;ataly\u0026uuml;rek.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/news\/628061\/hpc-framework-blocks-may-instigate-new-era-accessibility-software-engineers\u0022\u003Erecent project\u003C\/a\u003E\u0026nbsp;of \u0026Ccedil;ataly\u0026uuml;rek\u0026rsquo;s that addresses these questions this is a three-year, cross-institute NSF project that\u0026nbsp;aims to lower the barrier to entry for software engineers developing new high-performance applications on large scale parallel systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESrinivas Aluru\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAluru is being recognized by SIAM for his contributions to the field of computational genomics with\u0026nbsp;sequential and parallel discrete algorithms research and for his leadership in data science and engineering.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe is the recipient of numerous awards for his research, including being selected as an\u0026nbsp;\u003Ca href=\u0022https:\/\/www.ieee.org\/membership\/fellows\/index.html\u0022\u003EIEEE Fellow\u003C\/a\u003E\u0026nbsp;in recognition for high-performance computing (HPC) research and being selected as an\u0026nbsp;\u003Ca href=\u0022https:\/\/www.aaas.org\/fellows\u0022\u003EAmerican Association for the Advancement of Science Fellow\u003C\/a\u003E\u0026nbsp;in recognition of research at the intersection of computing and biology.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;These are all various aspects of the same interdisciplinary research my group has been focusing on for 23 years now,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Aluru, \u0026ldquo;Awards such as SIAM Fellow are given for sustained contributions over a very long period of time; sometimes, you have to wait to see the impact of a work. One major example of this impact within my group is the work we did to develop parallel algorithms and software for assembling genomes from tens to hundreds of millions of genomic fragments.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe specific research project Aluru references enabled the successful sequencing of the maize genome, the first plant genome ever to be sequenced. The\u0026nbsp;sequence was\u0026nbsp;\u003Ca href=\u0022https:\/\/science.sciencemag.org\/content\/326\/5956\/1112\u0022\u003Epublished in a 2009 Science paper\u003C\/a\u003E\u0026nbsp;that is now, according to Google Scholar, cited 3271 times, and is a go-to resource for biological research on this important food crop.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Maize is\u0026nbsp;much\u0026nbsp;more complex than a human genome, with about 75 percent of the genome consisting of repeats of various sizes, tripping up efforts in accurately assembling the genome,\u0026rdquo; he said.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBefore the success of Aluru\u0026rsquo;s team, it was believed that sequencing genomes on highly distributed memory-challenged platforms, such as the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.ibm.com\/ibm\/history\/ibm100\/us\/en\/icons\/bluegene\/\u0022\u003EIBM Blue Gene\/L\u003C\/a\u003E\u0026nbsp;supercomputer, was not feasible. However, this was not Aluru\u0026rsquo;s only time overcoming the impossible in this field of research. He led the first group to develop efficient parallel discrete algorithms which allowed for biological networks to be constructed at the whole genome scale within minutes using the world\u0026#39;s fastest supercomputers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It is really a tribute to the hard work of many of my graduate students who contributed greatly to my work over the years. Hopefully, the elevated recognition for our group\u0026#39;s work will also enhance their opportunities,\u0026rdquo; said Aluru.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn addition to his leadership and research within CSE,\u0026nbsp;Aluru maintains a number of roles to enhance data science initiatives at the state and national levels. Currently, he serves as the Executive Director of the\u0026nbsp;\u003Ca href=\u0022http:\/\/ideas.gatech.edu\/\u0022\u003EInstitute for Data Engineering and Science\u003C\/a\u003E\u0026nbsp;(IDEaS), co-leads the NSF South Big Data Regional Innovation Hub which nurtures big data partnerships between organizations in the 16 Southern States and Washington D.C., as well as the NSF Transdisciplinary Research Institute for Advancing Data Science.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Srinivas Aluru and \u00dcmit \u00c7ataly\u00fcrek have both been inducted into the 2020 Class of SIAM Fellows."}],"uid":"34540","created_gmt":"2020-04-24 16:14:49","changed_gmt":"2020-04-24 16:15:52","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-04-24T00:00:00-04:00","iso_date":"2020-04-24T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"634714":{"id":"634714","type":"image","title":"Umit and Srinivas SIAM Fellows","body":null,"created":"1587744576","gmt_created":"2020-04-24 16:09:36","changed":"1587744576","gmt_changed":"2020-04-24 16:09:36","alt":"A headshot of Srinivas Aluru and Umit Catalyurek side-by-side","file":{"fid":"241543","name":"umitandsrinivas.png","image_path":"\/sites\/default\/files\/images\/umitandsrinivas.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/umitandsrinivas.png","mime":"image\/png","size":1792390,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/umitandsrinivas.png?itok=x_oPI1jp"}}},"media_ids":["634714"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"167311","name":"SIAM"},{"id":"4305","name":"cse"},{"id":"168094","name":"Srinivas Aluru"},{"id":"170627","name":"Umit Catalyurek"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"634457":{"#nid":"634457","#data":{"type":"news","title":"Chao Zhang Wins Google Faculty Research Award","body":[{"value":"\u003Cp\u003ESchool of Computational Science and Engineering (CSE) Assistant Professor\u0026nbsp;\u003Ca href=\u0022http:\/\/chaozhang.org\/\u0022\u003E\u003Cstrong\u003EChao Zhang\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;was selected as the winner of the 2019-2020\u0026nbsp;\u003Ca href=\u0022https:\/\/research.google\/outreach\/past-programs\/faculty-research-awards\/\u0022\u003EGoogle Faculty Research Awards\u003C\/a\u003E\u0026nbsp;for the category of structured data.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EStructured data refers to information organized in a pre-defined manner. It is used to train machine learning models across applications. However, more often than not, real-world data does not fall into this neat catetory and has file types that are not machine-readable, such as text, images, and videos. This latter form of information is known as unstructured data, and it makes up more than 80 percent of enterprise data and is growing every year.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGiven unstructured data\u0026rsquo;s prevalence, extracting knowledge from this information type is necessary, albeit far more complicated for machine learning programs to use, and often results in identification gaps for the model. For Zhang, this is a critical research emphasis that he has received multiple recognitions for.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Turning unstructured data into structured knowledge is of great importance to science, engineering, and business. For example, knowledge graphs can be used to accelerate scientific research and empower smartphone virtual assistants,\u0026rdquo; he said.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Deep learning models are currently dominating for almost all knowledge extraction problems. However, they do not have the ability to say, \u0026lsquo;I don\u0026#39;t know,\u0026rsquo; when facing novel situations and can be unreliable in open-world settings.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZhang\u0026rsquo;s research addresses this challenge by developing new techniques that quantify uncertainty for deep learning models and essentially let them know when they are unable to recognize something and how to proceed. This research can be an important step to improve the robustness and effectiveness of existing knowledge extraction technology.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It is great to be recognized by the Google Faculty Research Award. The support of this award will allow my group to continue making our contributions to solving some pressing problems in this area,\u0026rdquo; said Zhang.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZhang has been previously recognized and awarded for his work in this field with the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.kdd.org\/awards\/sigkdd-dissertation-award\u0022\u003E2019\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.kdd.org\/awards\/sigkdd-dissertation-award\u0022\u003ESIGKDD Doctoral Dissertation Runner-up Award\u003C\/a\u003E\u0026nbsp;and the\u0026nbsp;\u003Ca href=\u0022https:\/\/ecmlpkdd2019.org\/programme\/awards\/\u0022\u003E2015 ECML\/PKDD Best Student Paper Runner-up Award.\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Associate Professor receives faculty research award for data science research"}],"uid":"34540","created_gmt":"2020-04-16 18:00:46","changed_gmt":"2020-04-16 18:45:49","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-04-16T00:00:00-04:00","iso_date":"2020-04-16T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"634456":{"id":"634456","type":"image","title":"Chao Zhang","body":null,"created":"1587059907","gmt_created":"2020-04-16 17:58:27","changed":"1587059907","gmt_changed":"2020-04-16 17:58:27","alt":"Headshot of Chao Zhang with grey background","file":{"fid":"241443","name":"chao_zhang.jpg","image_path":"\/sites\/default\/files\/images\/chao_zhang.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/chao_zhang.jpg","mime":"image\/jpeg","size":329371,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/chao_zhang.jpg?itok=5tqpBqid"}}},"media_ids":["634456"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"135","name":"Research"}],"keywords":[{"id":"4305","name":"cse"},{"id":"182133","name":"Chao Zhang"},{"id":"184554","name":"Google Research Award"},{"id":"101","name":"Award"},{"id":"92811","name":"data science"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer I\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"634296":{"#nid":"634296","#data":{"type":"external_news","title":"Georgia Tech Researchers Presenting Work Virtually at Top AI Conference Due to COVID-19","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-04-13 13:19:50","changed_gmt":"2020-04-13 13:19:50","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"http:\/\/bit.ly\/ICLR2020","dateline":{"date":"2020-04-13T00:00:00-04:00","iso_date":"2020-04-13T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"634187":{"#nid":"634187","#data":{"type":"news","title":"Georgia Tech and Intel Awarded Multimillion-Dollar Program to Defend Against Attacks on AI","body":[{"value":"\u003Cp\u003EResearchers from Georgia Tech and Intel are working together to strengthen cybersecurity defenses for machine learning (ML) models designed for vision systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBolstered by a new four-year, multimillion-dollar Defense Advanced Research Projects Agency (DARPA) grant, the team will create\u0026nbsp;deception-resistant ML technologies\u0026nbsp;with an emphasis on object detectors for the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.darpa.mil\/program\/guaranteeing-ai-robustness-against-deception\u0022\u003EGuaranteeing AI Robustness against Deception (GARD) program\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EObject detectors are a type of technology used to identify objects within an image or video using labels and bounding boxes. While no known real-world attacks have been made on these systems, a team of researchers first identified security vulnerabilities in object detectors in 2018 with a project known as\u0026nbsp;\u003Ca href=\u0022https:\/\/github.com\/shangtse\/robust-physical-attack\u0022\u003EShapeShifter\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELed by School of Computational Science and Engineering (CSE) Associate Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/poloclub.github.io\/polochau\/\u0022\u003E\u003Cstrong\u003EPolo Chau\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;at Georgia Tech\u0026rsquo;s\u0026nbsp;\u003Ca href=\u0022https:\/\/istc-arsa.iisp.gatech.edu\/\u0022\u003EIntel Science and Technology Center\u0026nbsp;for Adversary-Resilient Security Analytics\u003C\/a\u003E\u0026nbsp;(ISTC-ARSA), the ShapeShifter project\u0026nbsp;exposed adversarial machine learning techniques that were able to mislead object detectors and even\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/611783\/erasing-stop-signs-shapeshifter-shows-self-driving-cars-can-still-be-manipulated\u0022\u003Eerase stop signs from autonomous vehicle detection.\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;As ML technologies have developed, researchers used to think that attacking object detectors would be difficult. ShapeShifter showed us that was not true, they can be affected, and we can attack them in a way to have objects disappear completely or be labeled as anything we want,\u0026rdquo; said Chau, who serves as the lead investigator from Georgia Tech on the GARD program.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The reason we study vulnerabilities in ML systems is to get into the mindset of the bad guy in order to develop the best defenses. The GARD program provides us with an excellent opportunity for this,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGARD is a DARPA-funded program that aims to establish theoretical ML foundations to identify system vulnerabilities in real-world applications. Intel and Georgia Tech are leading a program team together under this platform with Intel serving as the prime awardee and Georgia Tech\u0026rsquo;s funding totaling $1.3 million.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe four-year program is divided into three phases with the first phase focused on\u0026nbsp;enhancing object detection technologies through spatial, temporal, and semantic coherence for both still images and videos. These three defining qualities of object detectors look for contextual clues to determine if a possible anomaly or attack is occurring.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Our research develops novel coherence-based techniques to protect AI from attacks. We want to inject common sense into the AI that humans take for granted when they look at something. Even the most sophisticated AI today doesn\u0026rsquo;t ask, \u0026lsquo;Does it make sense that there are all these people floating in the air and are overlapping in odd ways?\u0026rsquo; Whereas we would think it\u0026rsquo;s unnatural,\u0026rdquo; said Chau. \u0026ldquo;That is what spatial coherence attempts to address \u0026ndash; does it make sense in a relative position?\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis idea of applying common sense to AI object recognition extends to other coherence-based techniques, such as temporal coherence, which checks for suspicious objects\u0026rsquo; disappearance or reappearance over time. The team\u0026rsquo;s\u0026nbsp;\u003Ca href=\u0022https:\/\/www.scottfreitas.com\/papers\/LEMINCS-2019-Extracting.pdf\u0022\u003EUnMask semantic coherence technique\u003C\/a\u003E, which is based on meaning, looks to identify the parts of an object rather than just the whole, and verifies that those parts indeed make sense.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn terms of defenses, the goal of all three coherence-based techniques is to force attackers to adhere to all categories\u0026rsquo; laws created for continuity in the AI. This multi-perspective approach thwarts any future attempts by adversarial ML that do not meet the complex rules, causing any security breach to be flagged.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs AI models with image recognition software are increasingly implemented and used in daily applications, the need to understand and thwart attacks in such programs is critical across fields. The GARD program aims to develop effective defenses across broad ranges of attacks, with Georgia Tech and Intel helping lead the way.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E[RELATED CONTENT: \u003Ca href=\u0022https:\/\/newsroom.intel.com\/news\/intel-joins-georgia-tech-darpa-program-mitigate-machine-learning-deception-attacks\/#gs.2tdm6t\u0022\u003EIntel Joins Georgia Tech in DARPA Program to Mitigate Machine Learning Deception Attacks\u003C\/a\u003E]\u003C\/strong\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Adversarial ML attacks on object detectors may never have a chance to happen thanks to this new multimillion dollar program from Georgia Tech and Intel under DARPA."}],"uid":"34540","created_gmt":"2020-04-08 18:52:11","changed_gmt":"2020-04-09 15:09:55","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-04-08T00:00:00-04:00","iso_date":"2020-04-08T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"634181":{"id":"634181","type":"image","title":"ShapeShifter 2","body":null,"created":"1586371153","gmt_created":"2020-04-08 18:39:13","changed":"1586371153","gmt_changed":"2020-04-08 18:39:13","alt":"Image of a real stop sign with a bounding box and a fake stop sign with a bounding box and incorrect label saying \u0027sports ball\u0027","file":{"fid":"241325","name":"shapeshifterimg.png","image_path":"\/sites\/default\/files\/images\/shapeshifterimg.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/shapeshifterimg.png","mime":"image\/png","size":396337,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/shapeshifterimg.png?itok=wB06MyRx"}}},"media_ids":["634181"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"97281","name":"autonomous vehicles"},{"id":"4305","name":"cse"},{"id":"83261","name":"Polo Chau"},{"id":"4767","name":"Intel"},{"id":"690","name":"darpa"},{"id":"179180","name":"object detectors"},{"id":"9167","name":"machine learning"},{"id":"184400","name":"adversarial ML"}],"core_research_areas":[{"id":"145171","name":"Cybersecurity"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"634130":{"#nid":"634130","#data":{"type":"external_news","title":"Working Towards Explainable and Data-efficient Machine Learning Models via Symbolic Reasoning","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-04-07 13:04:51","changed_gmt":"2020-04-07 13:04:51","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"Tokyo Smart City studio","field_article_url":"","publication_url":"https:\/\/bit.ly\/2JKxL5S","dateline":{"date":"2020-04-07T00:00:00-04:00","iso_date":"2020-04-07T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"37041","name":"Computational Science and Engineering"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"633892":{"#nid":"633892","#data":{"type":"news","title":"New Professor Uses Networks to Connect the Dots for Social Good","body":[{"value":"\u003Cp\u003EHow do governments decide to systematically address an outbreak? How can networks help us prioritize relief efforts after a natural disaster?\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese are some of the questions that\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/people\/b-aditya-prakash\u0022\u003E\u003Cstrong\u003EB. Aditya Prakash\u003C\/strong\u003E,\u003C\/a\u003E\u0026nbsp;a new tenured associate professor in Georgia Tech\u0026rsquo;s School of Computational Science and Engineering (CSE), aims to answer.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPrakash\u0026rsquo;s research invents new data science and machine learning techniques for networks and sequences. His work has applications in public health, cybersecurity, critical infrastructure systems, and the web. By using these techniques, Prakash is able to solve real-world problems and develop tools to help leading organizations such as the Centers for Disease Control and Prevention (CDC), Wal-Mart, Facebook, and Oak Ridge National Laboratory (ORNL).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;A big draw for me to these technically challenging problems is their inherent interdisciplinarity and potential for high societal impact. Simply put, progress here can save lives and make a real difference\u0026quot;, he said.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESeeing the Big Picture\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor Prakash, making a difference does not end with just understanding the data and using it for different applications. Instead, Prakash believes in using data science as a means to drive informed policies and decisions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Networks are a great abstraction for modeling real-world phenomena. As they give us both a local and a global perspective, they are able to provide an opportunity to bridge gaps between\u0026nbsp;data, models, and actionable strategies,\u0026rdquo;\u0026nbsp;he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHis work is now used for a wide variety of these phenomena including finding failure hot spots in energy grids,\u0026nbsp;\u003Ca href=\u0022https:\/\/dl.acm.org\/doi\/10.1145\/3178876.3186174\u0022\u003Eguiding users to relevant products on e-commerce websites\u003C\/a\u003E, and designing policies to determine how best to allocate\u0026nbsp;\u003Ca href=\u0022https:\/\/doi.org\/10.1371\/journal.pcbi.1007284\u0022\u003Escarce resources for hospital infection control\u003C\/a\u003E. His group is also taking part in the CDC forecasting project for past and current pandemics, which aims to use influenza-like illness surveillance data to understand the trajectory of disease outbreak in the US.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;From\u0026nbsp;a data science viewpoint, even though it may not be immediately obvious sometimes, all of these problems have one thing in common: a change in one part can cause a change in other parts, even those that are not directly connected, due to network effects. If you only studied these events in isolation, you would never be able to understand the bigger picture,\u0026rdquo; he said.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EControlling Epidemics\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPrakash has worked extensively with projects that use these network effects to our advantage, such as studying how to detect, forecast, and control infectious epidemics. His group has developed many network algorithms for optimizing the distribution of vaccines and plan interventions, such as quarantining, to stop and flatten epidemic incidence curves.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPrakash said, \u0026ldquo;As diseases leverage the contact networks to spread, some links are more central and important than others. Some nodes are more important for spreading the disease than others. Hence, the idea is to figure out the best way to efficiently cut links which can help us the most in controlling an epidemic \u0026ndash; given resource, behavioral, and economic constraints.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs data collection is exploding across multiple spheres, Prakash\u0026rsquo;s research focus aims to provide a\u0026nbsp;\u003Ca href=\u0022https:\/\/ieeexplore.ieee.org\/document\/8215534\u0022\u003Edata-oriented viewpoint\u003C\/a\u003E\u0026nbsp;for large-scale problems. His group is building machine learning architectures and data-centric algorithms to use fine-grained surveillance data to guide these decisions, in addition to using epidemiological and mobility models.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPreparing for the What if Scenario\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Currently, we are also trying to study critical infrastructure systems \u0026ndash;\u0026nbsp;such as transportation and energy networks \u0026ndash;\u0026nbsp;to determine how robust they are, whether or not failures can propagate, and what happens to them during a catastrophic incident,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETogether with ORNL, Prakash\u0026rsquo;s research group has developed an emergency management system called\u0026nbsp;\u003Ca href=\u0022http:\/\/people.cs.vt.edu\/~badityap\/papers\/urbannet-kdd19.pdf\u0022\u003EUrban-Net\u003C\/a\u003E. It operates by building a series of complex interconnected heterogenous networks that connect different critical infrastructure components, giving researchers a bird\u0026rsquo;s-eye view of the entire subsystem. It then uses fast algorithms to help users understand how critical infrastructures may be impacted during various \u0026lsquo;what-if\u0026rsquo; disaster scenarios and manage recovery resources.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPrakash said, \u0026ldquo;One of the challenges is that a lot of these systems are widely distributed. So, while studying the interaction between these components, you find that failures can propagate very far, very quickly \u0026ndash; such as the famous\u0026nbsp;\u003Ca href=\u0022https:\/\/en.wikipedia.org\/wiki\/Northeast_blackout_of_2003\u0022\u003ENortheast Blackout of 2003\u003C\/a\u003E.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPrior to joining Georgia Tech, Prakash was an associate professor of computer science at Virginia Tech. He received his Ph.D. at Carnegie Mellon University and an undergraduate degree at IIT-Bombay. He is a recipient of the NSF CAREER award, multiple best paper awards, and was named as one of \u0026lsquo;AI 10 to Watch\u0026rsquo; by the IEEE.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Associate Professor Aditya Prakash joins the School of Computational Science and Engineering and discusses his timely research in infectious disease analysis and networks."}],"uid":"34540","created_gmt":"2020-03-30 16:22:55","changed_gmt":"2020-03-30 16:34:20","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-03-30T00:00:00-04:00","iso_date":"2020-03-30T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"633887":{"id":"633887","type":"image","title":"Aditya Prakash","body":null,"created":"1585581716","gmt_created":"2020-03-30 15:21:56","changed":"1585581716","gmt_changed":"2020-03-30 15:21:56","alt":"Aditya Prakash headshot with dark grey background","file":{"fid":"241194","name":"aditya prakash headshot.jpg","image_path":"\/sites\/default\/files\/images\/aditya%20prakash%20headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/aditya%20prakash%20headshot.jpg","mime":"image\/jpeg","size":4408,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/aditya%20prakash%20headshot.jpg?itok=JYWqZlEu"}}},"media_ids":["633887"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"184341","name":"Aditya Prakash"},{"id":"3334","name":"infectious disease"},{"id":"1745","name":"networks"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"633633":{"#nid":"633633","#data":{"type":"news","title":"Machine Learning Tool May Help Us Better Understand RNA Viruses","body":[{"value":"\u003Cp\u003E\u003Ca href=\u0022https:\/\/github.com\/ml4bio\/e2efold\u0022\u003EE2Efold\u003C\/a\u003E\u0026nbsp;\u0026nbsp;is an end-to-end deep learning model developed at Georgia Tech that can predict RNA secondary structures, an important task used in virus analysis, drug design, and other public health applications.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlthough the model has yet to be used in real-life applications, in research testing it has shown at least a 10 percent improvement\u0026nbsp;in structure prediction accuracy compared to previous\u0026nbsp;state-of-the-art methods\u0026nbsp;according to\u0026nbsp;\u003Cstrong\u003EXinshi Chen\u003C\/strong\u003E, a Georgia Tech Ph.D. student specializing in machine learning and co-developer of the new tool.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The model uses an unrolled algorithm for solving a constrained optimization as a component in the neural network architecture, so that it can directly incorporate a solution constraint, or prior knowledge, to predict the RNA base-pairing matrix,\u0026rdquo; said Chen.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EE2Efold is not only more accurate, it is also considerably faster than current techniques.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECurrent methods are dynamic programming based, which is a much slower approach for predicting longer RNA sequences, such as the genomic RNA in virus. E2Efold overcomes this drawback by using a gradient-based unrolled algorithm. It also\u0026nbsp;takes advantage of graphic processing units to accelerate its computing process and is now the fastest method available.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERNA, or ribonucleic acid, is an essential building block that governs gene expression and is particularly important for RNA viruses, which consist only of RNA and the enwrapping virion proteins. These types of viruses make up a wide array of infectious diseases, including SARS,\u0026nbsp;\u0026nbsp;Dengue fever, the common cold, and others.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Unlike most organisms, the genetic information of an RNA virus is RNA. As a result, almost every stage in the RNA virus life cycle relies on RNA heavily,\u0026rdquo; said\u0026nbsp;\u003Cstrong\u003EYu Li\u003C\/strong\u003E, a computational bioscience researcher from King Abdullah University of Science and Technology and co-investigator.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Take SARS, as an example. It belongs to an RNA virus. If we can predict its secondary and 3D structure\u0026nbsp;accurately, based on its sequence information, we can potentially design drugs to bind to its local binding pocket and block the RNA from functioning. In other words,\u0026nbsp;researchers\u0026nbsp;might be able to develop treatments for the virus based on the specific local structure of the target RNA using this method as a starting point,\u0026rdquo; said Li.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne additional noteworthy ability, E2Efold is its ability to solve for pseudoknots. Pseudoknots are a biologically important RNA secondary structure that are present in roughly 40 percent of RNAs and assist with folding into 3D structures.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Most previous models were restricted to only predict one type of RNA structure called nested structures. This excluded pseudoknots all together because they were computationally expensive,\u0026rdquo; said Chen. \u0026ldquo;In this paper, we predict RNA structures with pseudoknots by adopting a feed-forward model with a 25 percent greater accuracy than previous versions.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELed by Georgia Tech\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE) Associate Professor\u0026nbsp;\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~lsong\/\u0022\u003ELe Song\u003C\/a\u003E\u0026nbsp;\u003C\/strong\u003Eand\u0026nbsp;KAUST Associate Professor\u0026nbsp;\u003Cstrong\u003EXin Gao\u003C\/strong\u003E, the team of researchers who created the model will present\u0026nbsp;the\u0026nbsp;\u003Ca href=\u0022https:\/\/openreview.net\/forum?id=S1eALyrYDH\u0022\u003Epaper outlining their findings\u003C\/a\u003E\u0026nbsp;at the\u0026nbsp;\u003Ca href=\u0022https:\/\/iclr.cc\/\u0022\u003EInternational Conference on Learning Representations\u003C\/a\u003E\u0026nbsp;(ICLR) 2020.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlthough the focus of the paper is on RNA secondary prediction, E2Efold\u0026rsquo;s end-to-end deep learning approach is generic enough to also be applied to other problems such as protein folding and natural language understanding.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech researchers have created an end-to-end deep learning algorithm that is able to more effectively and quickly sequence RNA secondary structures."}],"uid":"34540","created_gmt":"2020-03-17 17:42:48","changed_gmt":"2020-03-17 17:42:48","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-03-17T00:00:00-04:00","iso_date":"2020-03-17T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"633626":{"id":"633626","type":"image","title":"RNA Secondary Structure","body":null,"created":"1584459203","gmt_created":"2020-03-17 15:33:23","changed":"1584459203","gmt_changed":"2020-03-17 15:33:23","alt":"RNA secondary structure diagram","file":{"fid":"241102","name":"RNA_Secondary_Structure.png","image_path":"\/sites\/default\/files\/images\/RNA_Secondary_Structure.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/RNA_Secondary_Structure.png","mime":"image\/png","size":68237,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/RNA_Secondary_Structure.png?itok=XMYRlh-f"}}},"media_ids":["633626"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"179628","name":"RNA sequencing"},{"id":"2546","name":"bioinformatics"},{"id":"127171","name":"Le Song"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"633405":{"#nid":"633405","#data":{"type":"news","title":"Improving the Safety and Well-being on the Web and in Society","body":[{"value":"\u003Cp\u003EMost of our social interactions, most of our information needs, and most of our daily tasks and decision making is happening online.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWith high-stakes decisions being made via the web, the ways in which malicious users engage with us online can have a profoundly negative impact on our lives and on the society as a whole.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor\u0026nbsp;\u003Cstrong\u003ESrijan Kumar\u003C\/strong\u003E, a new assistant professor in Georgia Tech\u0026rsquo;s School of Computational Science and Engineering, this is a concept that transcends social media, encompassing most, if not all, of the web and the society. His research group,\u0026nbsp;\u003Ca href=\u0022http:\/\/claws.cc.gatech.edu\/\u0022\u003ECLAWS\u003C\/a\u003E\u0026nbsp;(the Computational Lab for the Web and Society), was established with the goal of\u0026nbsp;improving\u0026nbsp;the safety and well-being of people world-wide. This is achieved by ridding the user experience of digital abuse and disinformation pitfalls, and using the online social signals to forecast harmful real-world events, such as mass shootings.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Broadly, my group\u0026rsquo;s research is in data science and applied machine learning and we create the next generation of algorithms to understand and improve how users behave online and how it impacts the society,\u0026rdquo; said Kumar.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EUnderstanding and Impacting Online Behavior\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese next-generation algorithms that Kumar references are used to understand and forecast deceptive behavior that attempts to manipulate and disinform users. Instances in which these behaviors occur are vast, and can, according to Kumar, be categorized based on the three areas of use that they impact.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;There are three major things people do online: interact with one another, consume information, and act on the recommendations they are shown. A way to unify and transform the user experience is to develop the user models, which are deep-learning and network-based models\u0026rdquo;, he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOf course, this is more simply said than done. As one stride is made to improve user interactions, there are bad actors on the other side that are continuously attempting to manipulate user sessions in all three categories: trolls harass others, disinformation misleads and radicalizes people, and recommender systems are manipulated for financial, political, and ideological gains. A key challenge being solved at CLAWS is how to create algorithms that can forecast how malicious agents will behave in the future and develop algorithms that are robust to the creative attacks of malicious agents.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to the Pew Research Center,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.pewresearch.org\/internet\/2017\/07\/11\/online-harassment-2017\/\u0022\u003E41 percent of the population report being harassed\u003C\/a\u003E\u0026nbsp;online at some time, making it easily the most recognizable form of online abuse that Kumar\u0026rsquo;s research attempts to address.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EMore than Harassment\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHowever, the applications of Kumar\u0026rsquo;s work stretch far beyond harassment and his anti-abuse algorithms have been used by the likes of Flipkart, India\u0026rsquo;s largest E-commerce platform, and Wikipedia.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to\u0026nbsp;\u003Ca href=\u0022https:\/\/tools.wmflabs.org\/siteviews\/?platform=all-access\u0026amp;source=pageviews\u0026amp;agent=user\u0026amp;range=all-time\u0026amp;sites=en.wikipedia.org\u0022\u003EPageviews Analysis\u003C\/a\u003E, Wikipedia has aggregated over 420 billion views since July 2015 and\u0026nbsp;\u003Ca href=\u0022https:\/\/en.wikipedia.org\/wiki\/Wikipedia:Statisticshttps:\/en.wikipedia.org\/wiki\/Wikipedia:Statistics\u0022\u003Edeletes approximately 1,000 pages each day\u003C\/a\u003E. These staggering numbers show the magnitude of the online encyclopedia giant and the reach of its platform despite wavering credibility of some pages. Compounded with the fact that\u0026nbsp;\u003Ca href=\u0022https:\/\/www.pewresearch.org\/fact-tank\/2018\/12\/10\/social-media-outpaces-print-newspapers-in-the-u-s-as-a-news-source\/\u0022\u003Eyounger audiences largely get their information from the web rather than traditional news\u003C\/a\u003E\u0026nbsp;outlets, this platform\u0026rsquo;s content and reach arguably impacts society.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;[Digital abuse] is a huge issue because everyone uses web platforms, such as Wikipedia and YouTube, even my nephew, who is six years old. And there are malicious actors on these platforms that are trying to manipulate the information,\u0026rdquo; Kumar said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn an effort to find these malicious users and prevent misinformation, Wikipedia recruited the help of Kumar to\u0026nbsp;\u003Ca href=\u0022https:\/\/dl.acm.org\/doi\/10.1145\/2872427.2883085\u0022\u003Edetect fabricated articles using a machine learning model\u003C\/a\u003E\u0026nbsp;that could help identify the hoaxes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The surprising part about the study was that when respondents were asked to identify which were fake and which were real, people only had 66 percent accuracy \u0026ndash; and that was after we told them that one was fake. So, the numbers for recognizing the fake without the context would likely be much different. Whereas, the machine learning models that we built had 86 percent accuracy of identifying the fake articles,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EA Digital Native\u0026rsquo;s Inspiration\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor Kumar, who grew up in the age of technology and social media, his passion for this field began with a frustration many of us have encountered: Buying an item off of the internet to find it was nothing like what we were promised.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I had a first-hand experience of being misinformed and this made me become interested in pursuing it as a researcher because I realized that it affects millions of people.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENow, after joining Georgia Tech in January 2020, Kumar is establishing the new CLAWS lab at the institute in an effort to continue growing this field and prevent more instances of online abuse from occurring in the future. Some applications of their work include:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EHealth, such as detecting and countering health misinformation,\u003C\/li\u003E\r\n\t\u003Cli\u003ESecurity, such as predicting mass shootings,\u003C\/li\u003E\r\n\t\u003Cli\u003EFinance, such as predicting fraud and money laundering, and\u003C\/li\u003E\r\n\t\u003Cli\u003ESocial media, such as preventing disinformation and hate.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EKumar said, \u0026ldquo;We need new methods and new techniques to improve the interactions between users online. Right now, we are at the perfect scientific time to create these new models. And the reason is because earlier we were looking at the basics of how and what people were doing. But today, with deep learning and with new models available, we are able to create and transform these user experiences and fuel real-time and personalized systems.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPrior to Georgia Tech, Kumar was\u0026nbsp;visiting research scientist at\u0026nbsp;\u003Ca href=\u0022https:\/\/ai.google\/research\/\u0022\u003EGoogle AI\u003C\/a\u003E, and a postdoctoral researcher at\u0026nbsp;\u003Ca href=\u0022http:\/\/cs.stanford.edu\/\u0022\u003EStanford University\u003C\/a\u003E. He is the recipient of the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cs.stanford.edu\/~srijan\/#awards\u0022\u003E2018 ACM SIGKDD Doctoral Dissertation Award runner-up\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cs.stanford.edu\/~srijan\/#publications\u0022\u003EWWW 2017 Best Paper Award runner-up\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cs.stanford.edu\/~srijan\/#awards\u0022\u003ELarry S. Davis Doctoral Dissertation Award 2017\u003C\/a\u003E, and\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cs.stanford.edu\/~srijan\/#awards\u0022\u003EDr. BC Roy Gold Medal\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE welcomes new Assistant Professor Srijan Kumar."}],"uid":"34540","created_gmt":"2020-03-09 17:11:39","changed_gmt":"2020-03-09 17:22:12","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-03-09T00:00:00-04:00","iso_date":"2020-03-09T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"633404":{"id":"633404","type":"image","title":"Srijan Kumar","body":null,"created":"1583773435","gmt_created":"2020-03-09 17:03:55","changed":"1583773435","gmt_changed":"2020-03-09 17:03:55","alt":"Headshot of Srijan Kumar","file":{"fid":"241009","name":"headshot-Kumar.jpg","image_path":"\/sites\/default\/files\/images\/headshot-Kumar.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/headshot-Kumar.jpg","mime":"image\/jpeg","size":1411835,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/headshot-Kumar.jpg?itok=aAV2CFu3"}}},"media_ids":["633404"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"633303":{"#nid":"633303","#data":{"type":"news","title":"Meet CSE: Ph.D. Student David Betancourt is Designing AI to Help Us Monitor the Real and Surreal World\u00a0","body":[{"value":"\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/\u0022\u003EThe School of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE) offers a uniquely interdisciplinary pool of student\u0026nbsp;researchers who specialize in bridging software and hardware together with real-world applications ranging from bioinformatics to cybersecurity and more.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EToday, we\u0026rsquo;d like to introduce you to\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/people\/david-betancourt\u0022\u003E\u003Cstrong\u003EDavid Betancourt\u003C\/strong\u003E\u003C\/a\u003E,\u0026nbsp;a CSE Ph.D. student and machine learning scientist with a passion for developing methods for artificial intelligence (AI) to act in real-life safety-critical situations.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBetancourt\u0026rsquo;s research has applications in a wide range of areas including physical infrastructure systems, finance, cloud computing, and cybersecurity. When he is not working on his Ph.D. thesis or appreciating surrealist art, Betancourt serves as the\u0026nbsp;chief scientist at Vorstella, a tech startup using AI to stabilize and optimize\u0026nbsp;cloud infrastructure systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EResearch Focus Areas:\u0026nbsp;\u003C\/strong\u003EMachine Learning, Reinforcement Learning; Uncertainty Modeling; Computational Mechanics; Autonomous Decision-Making; Anomaly Detection; Time Series Prediction\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAdvisor: Rafi L. Muhanna,\u0026nbsp;\u003C\/strong\u003ESchool of Civil and Environmental Engineering,\u0026nbsp;Center for Reliable Engineering Computing\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EHometown:\u003C\/strong\u003E\u0026nbsp;Medell\u0026iacute;n, Colombia\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EUndergraduate Degree:\u0026nbsp;\u003C\/strong\u003ESolid Mechanics\u003C\/p\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003E\u003Cstrong\u003ECurrent Program:\u003C\/strong\u003E\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003EPh.D., Computational Science and Engineering\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETell us about your research interests.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI work in machine learning, uncertainty modeling, and numerical methods. The main goal of my research is to develop artificial intelligence that can reason and adapt under uncertainty in order to make AI safer.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EHow is uncertainty modeling research applied in the real world?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn most real-world applications, you have streams of data that contain significant uncertainty. One of the main problems in machine learning is that most times the data is far from being ready for learning---the data is unstructured, unlabeled, a large amount is missing, and exposed to uncertainty for multiple sources. In machine learning, we are used to data cleaning and data wrangling but less used to modeling the uncertainty in the data and in the models, especially if the source of uncertainty is more than randomness. As AI and machine learning make their way to more safety-critical real-world applications, obtaining reliable predictions is a necessity. Uncertainty modeling for machine learning seeks to make systems depending on AI safer, less risky, less biased, and more reliable.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EIt sounds like uncertainty modeling may help us more than we are aware of. Can you give us an example of how this is important and how your research is applied in this area?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESure. For example, infrastructure systems, both physical and virtual, are essential to our society. One of the things that we are working on in our lab is connecting my research in machine learning and uncertainty modeling with structural health monitoring of public infrastructure to assess the real-time integrity of, for example, important bridges and tunnels.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWith AI hardware and our algorithms in place, we can enhance the ability for monitoring systems to detect anomalies in real-time which alerts the engineers and other decision-makers in charge of a given infrastructure system that there is something wrong with it.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWith\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/artbabridgereport.org\/\u0022\u003E\u003Cstrong\u003Emore than 47,000 bridges in the United States being currently structurally deficient\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E, your work may impact the entire country in a very tangible way. What type of hardware is your research using to help notify us of these bridges in need of repair?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThat is indeed a huge concern. In that case, the main hardware consists of MEMS accelerometers which measure the forced and free vibrations of the system along with complementary environmental sensors that measure temperature, humidity, wind speed, etc. They are placed on different parts of the bridge system and are then used to detect and identify various types of damage [by measuring acceleration forces]. Although the basic sensors have been around for years most of the detection has unfortunately been post-hoc or even\u0026nbsp;\u003Ca href=\u0022https:\/\/www.npr.org\/2017\/08\/01\/540669701\/10-years-after-bridge-collapse-america-is-still-crumbling\u0022\u003Eforensic\u003C\/a\u003E\u0026nbsp;by using multiple models of the systems. Instead, my research focuses on using machine learning to make anomaly detections in real-time using solely sensor data, while including uncertainty in the inputs and predictions. This can save lives and billions of tax-payer dollars.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EActually, this area is broadly known as activity recognition. For example, these sensors are very similar to the wearable accelerometers that are used to monitor Parkinson\u0026rsquo;s disease! In the case of Parkinson\u0026rsquo;s, you can detect activity that is anomalous and then based on that activity, you can customize the patient\u0026rsquo;s medical treatment. This is why interdisciplinary research is so important.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECan you tell us about the startup you are currently working in and what your role is there?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI am the chief scientist at a startup called Vorstella. We concentrate on AI monitoring for distributed systems on the cloud and we are developing machine learning algorithms to detect anomalies and optimize the cloud infrastructure of large companies. Without an AI detection system like ours, when the cloud systems fail, it can be very chaotic for the IT team to bring the system back up in a short amount of time. This is especially true if we\u0026rsquo;re talking about a hospital or a large payment network. As complexity in cloud computing infrastructure increases, it becomes necessary to bring AI to help you.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhy did you choose to come to Georgia Tech?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI\u0026rsquo;ve been Georgia Tech all the way! I came here for my undergrad and after getting my master\u0026rsquo;s in engineering I took a break for a few years to work as an R\u0026amp;D engineer and entrepreneur and then came back for my Ph.D. in CSE. I chose to come back to Georgia Tech because of the interdisciplinary collaboration between computing, engineering, and math. I checked multiple departments in the U.S. and CSE is the best PhD program when it comes to that collaboration.\u0026nbsp;\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELast, but certainly not least.\u0026nbsp;\u003C\/strong\u003E\u003Cstrong\u003EWhat is an interesting fact about yourself?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI like to research the lives and motivations of a few artists and literary movements, kind of like a historian.\u0026nbsp;\u003Cstrong\u003ESalvador Dal\u0026iacute;\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003ELeonard Cohen\u003C\/strong\u003E\u0026nbsp;are at the top of my list. Depending on whom, I like to read their books, see their art in person, listen to their music, collect vinyl records, and visit their old homes and museums. There is a strong connection that you can make with people who enjoy the same artist and I\u0026rsquo;m fortunate to have friends who do.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Ph.D. Student David Betancourt provides an intriguing Q\u0026A about his life as a machine learning scientist and lover of the arts."}],"uid":"34540","created_gmt":"2020-03-04 22:00:56","changed_gmt":"2020-03-05 14:28:57","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-03-05T00:00:00-05:00","iso_date":"2020-03-05T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"633301":{"id":"633301","type":"image","title":"David Betancourt","body":null,"created":"1583358044","gmt_created":"2020-03-04 21:40:44","changed":"1583359032","gmt_changed":"2020-03-04 21:57:12","alt":"A black and white photo of David Betancourt smiling ","file":{"fid":"240966","name":"davidbetancourt2.jpg","image_path":"\/sites\/default\/files\/images\/davidbetancourt2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/davidbetancourt2.jpg","mime":"image\/jpeg","size":1078186,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/davidbetancourt2.jpg?itok=KcDHtUaD"}}},"media_ids":["633301"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"9167","name":"machine learning"},{"id":"2835","name":"ai"},{"id":"4305","name":"cse"},{"id":"184173","name":"David Betancourt"},{"id":"184174","name":"Surreal"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"632888":{"#nid":"632888","#data":{"type":"external_news","title":"Accenture to Bring Their Tech Symposium to the Machine Learning Center at Georgia Tech","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-02-24 19:48:54","changed_gmt":"2020-02-24 19:48:54","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"and Reintegration) processes","field_article_url":"","publication_url":"http:\/\/bit.ly\/2VjruVO","dateline":{"date":"2020-02-24T00:00:00-05:00","iso_date":"2020-02-24T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"37041","name":"Computational Science and Engineering"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"632762":{"#nid":"632762","#data":{"type":"news","title":"Mark Borodovsky Elected as ISCB Fellow","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EMark Borodovsky\u003C\/strong\u003E, Regents\u0026rsquo; Professor at the Wallace H. Coulter Department of Biomedical Engineering and School of Computational Science and Engineering,\u0026nbsp;\u003Cem\u003Ewas distinguished for his influential research in developing algorithms of genome analysis as well as his recognized leadership in education and community development\u003C\/em\u003E. He is one of twelve ISCB Fellows elected in the Class of 2020.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBioinformatics is a strategic discipline at the frontier between molecular biology and computer science, impacting numerous branches of biological science, genomics-based biotechnology, computational and AI based medicine, as well as public health. For instance, the contemporary drug-discovery paradigm driving research and development in pharmaceutical companies, is relying heavily on bioinformatics research and analysis that deals with massive quantities of genomic, transcriptomic and proteomic data.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBorodovsky is best known for his work on gene finding algorithms which are used widely (see\u0026nbsp; http:\/\u003Ca href=\u0022http:\/\/exon.gatech.edu\/GeneMark\/\u0022\u003E\/exon.gatech.edu\/GeneMark\u003C\/a\u003E). He is also responsible for launching the interdisciplinary Bioinformatics Master and Ph.D. programs at Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe is the first faculty member at Georgia Tech (indeed in the state of Georgia for that matter) to become ISCB Fellow.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EMedia Contact:\u003C\/strong\u003E\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:wrich@gatech.edu\u0022\u003EWalter Rich\u003C\/a\u003E\u003Cbr \/\u003E\r\nCommunications Manager\u003Cbr \/\u003E\r\nWallace H. Coulter Department of Biomedical Engineering\u003Cbr \/\u003E\r\nGeorgia Institute of Technology\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The Fellows program of ISCB (International Society for Computational Biology) was created to honor members who have distinguished themselves through outstanding contributions to the fields of computational biology and bioinformatics."}],"uid":"34540","created_gmt":"2020-02-20 18:58:42","changed_gmt":"2020-02-24 14:40:18","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-02-20T00:00:00-05:00","iso_date":"2020-02-20T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"632760":{"id":"632760","type":"image","title":"Mark Borodovsky, Regents\u2019 Professor at the Wallace H. Coulter Department of Biomedical Engineering and School of Computational Science and Engineering, was distinguished for his influential research in developing algorithms of genome analysis as well as h","body":null,"created":"1582223836","gmt_created":"2020-02-20 18:37:16","changed":"1582308651","gmt_changed":"2020-02-21 18:10:51","alt":"Mark Borodovsky, Regents\u2019 Professor at the Wallace H. Coulter Department of Biomedical Engineering and School of Computational Science and Engineering","file":{"fid":"240787","name":"Most PREFERRED-72dpi-FOR EMAIL-Borodovsky - photo image.jpg","image_path":"\/sites\/default\/files\/images\/Most%20PREFERRED-72dpi-FOR%20EMAIL-Borodovsky%20-%20photo%20image.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Most%20PREFERRED-72dpi-FOR%20EMAIL-Borodovsky%20-%20photo%20image.jpg","mime":"image\/jpeg","size":706724,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Most%20PREFERRED-72dpi-FOR%20EMAIL-Borodovsky%20-%20photo%20image.jpg?itok=4M9WAz-v"}}},"media_ids":["632760"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"1612","name":"BME"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EWalter Rich\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["wrich@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"632537":{"#nid":"632537","#data":{"type":"external_news","title":"Learning to Cooperate in Multi-Agent Environments","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-02-17 17:25:18","changed_gmt":"2020-02-17 17:25:18","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"Tokyo Smart City studio","field_article_url":"","publication_url":"http:\/\/bit.ly\/2UL0WMI","dateline":{"date":"2020-02-17T00:00:00-05:00","iso_date":"2020-02-17T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"37041","name":"Computational Science and Engineering"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"632375":{"#nid":"632375","#data":{"type":"news","title":"Georgia Tech Dominates at Premier Conference for Parallel Processing","body":[{"value":"\u003Cp\u003EThe Society for Industrial and Applied Mathematics (SIAM) is a leading international community that aims to integrate mathematics with science and technology to create solutions to real-world problems through conferences, publications, and workshops. Its premier conference for the exchange of updates and best practices in the field of parallel processing research,\u0026nbsp;\u003Ca href=\u0022https:\/\/mc.us1.list-manage.com\/pages\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=27e7568358\u0022\u003ESIAM Conference on Parallel Processing for Scientific Computing 2020\u003C\/a\u003E\u0026nbsp;(PP20), begins today in Seattle, Washington and will run until Saturday, February 15.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\nGeorgia Tech leads this year\u0026rsquo;s conference presence with 28 different forms of engagement from 25 researchers across units including the\u0026nbsp;\u003Ca href=\u0022https:\/\/mc.us1.list-manage.com\/pages\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=5f37a9e096\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE),\u0026nbsp;\u003Ca href=\u0022https:\/\/mc.us1.list-manage.com\/pages\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=5b5c042521\u0022\u003ESchool of Computer Science\u003C\/a\u003E\u0026nbsp;(SCS), and the\u0026nbsp;\u003Ca href=\u0022https:\/\/mc.us1.list-manage.com\/pages\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=3f1e67978b\u0022\u003EGeorgia Tech Research Institute\u003C\/a\u003E\u0026nbsp;(GTRI).\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\nGeorgia Tech\u0026rsquo;s presence includes an\u0026nbsp;\u003Ca href=\u0022https:\/\/mc.us1.list-manage.com\/pages\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=ce9810bfd6\u0022\u003Einvited plenary talk\u003C\/a\u003E\u0026nbsp;by SCS Associate Professor\u0026nbsp;\u003Cstrong\u003EHyesoon Kim\u0026nbsp;\u003C\/strong\u003Ethat discusses different ways to apply and evaluate modeling techniques for heterogeneous computing systems; a\u0026nbsp;\u003Ca href=\u0022https:\/\/mc.us1.list-manage.com\/pages\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=c55c80ff78\u0022\u003Eposter presentation\u003C\/a\u003E\u0026nbsp;by GTRI researchers\u0026nbsp;\u003Cstrong\u003EMicah E. Halter\u003C\/strong\u003E,\u0026nbsp;\u003Cstrong\u003EKun Cao\u003C\/strong\u003E, and\u0026nbsp;\u003Cstrong\u003EJames Fairbanks\u0026nbsp;\u003C\/strong\u003Ethat proposes a theory-based framework to facilitate a more ideal workflow in scientific development processes; and a presentation by CSE Professor\u0026nbsp;\u003Cstrong\u003E\u0026Uuml;mit \u0026Ccedil;ataly\u0026uuml;rek\u0026nbsp;\u003C\/strong\u003Eand Ph.D. student\u0026nbsp;\u003Cstrong\u003EAbdurrahman Yasar\u003C\/strong\u003E\u0026nbsp;at the\u0026nbsp;\u003Ca href=\u0022https:\/\/mc.us1.list-manage.com\/pages\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=ca7067f732\u0022\u003ESIAM Workshop on Combinatorial Scientific Computing\u003C\/a\u003E, which is co-located with SIAM PP.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\n\u0026ldquo;The SIAM conference series as a whole is fantastic because its\u0026nbsp;content is focused on peoples\u0026#39; latest work rather than published\u0026nbsp;technical papers. Because of this content focus, SIAM PP\u0026#39;s\u0026nbsp;sessions can create more interaction and spawn new ideas,\u0026rdquo; said Senior Research Scientist\u0026nbsp;\u003Cstrong\u003EJason Riedy\u003C\/strong\u003E\u0026nbsp;who is set to present at several sessions throughout the week, including one session focused on providing\u0026nbsp;\u003Ca href=\u0022https:\/\/mc.us1.list-manage.com\/pages\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=d55e051a93\u0022\u003Eupdates from the Rogues Gallery\u003C\/a\u003E.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\nThe Rogues Gallery is a test bed established by Georgia Tech\u0026rsquo;s\u0026nbsp;\u003Ca href=\u0022https:\/\/mc.us1.list-manage.com\/pages\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=b2cb03efca\u0022\u003ECenter for Research into Novel Computing Hierarchies\u003C\/a\u003E\u0026nbsp;(CRNCH). The project was initiated in an effort to develop an understanding of next-generation hardware, with an emphasis on unorthodox and uncommon technologies.\u0026nbsp;\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\nOther notable tracks in which Georgia Tech researchers are both organizers and presenters include:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/mc.us1.list-manage.com\/pages\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=4aa85c0f26\u0022 target=\u0022_blank\u0022\u003EMS18 Exploiting Task Parallelism in Exascale Computing Era\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/mc.us1.list-manage.com\/pages\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=033a5849c9\u0022 target=\u0022_blank\u0022\u003EMS65 High-Performance Tensor Computation and Applications - Part II of III\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/mc.us1.list-manage.com\/pages\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=bef518cb23\u0022 target=\u0022_blank\u0022\u003EMS51, MS62, MS72 Novel Computational Algorithms for Future Computing Platforms - Part III of III\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/mc.us1.list-manage.com\/pages\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=e2a4d7c1b1\u0022 target=\u0022_blank\u0022\u003ECP14 HPC for Data Science and Large Graphs\u003C\/a\u003E\u0026nbsp;\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EClick the\u003Ca href=\u0022https:\/\/mailchi.mp\/86718f2dfa36\/gtsiampp20\u0022 target=\u0022_blank\u0022\u003E link\u0026nbsp;\u003C\/a\u003Eto view Georgia Tech\u0026#39;s complete participation at SIAM PP20.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech boasts an impressive number of sessions at this years SIAM PP20. "}],"uid":"34540","created_gmt":"2020-02-12 20:20:44","changed_gmt":"2020-02-12 20:21:26","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-02-12T00:00:00-05:00","iso_date":"2020-02-12T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"632374":{"id":"632374","type":"image","title":"SIAM PP20 Logo","body":null,"created":"1581538423","gmt_created":"2020-02-12 20:13:43","changed":"1581538447","gmt_changed":"2020-02-12 20:14:07","alt":"SIAM Parallel Processing for Scientific Computing 2020 on top of a blue background with a city skyline of Seattle","file":{"fid":"240605","name":"Screen-Shot-2019-11-03-at-8.18.26-PM-1024x325.png","image_path":"\/sites\/default\/files\/images\/Screen-Shot-2019-11-03-at-8.18.26-PM-1024x325.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Screen-Shot-2019-11-03-at-8.18.26-PM-1024x325.png","mime":"image\/png","size":243166,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Screen-Shot-2019-11-03-at-8.18.26-PM-1024x325.png?itok=oekkpiIi"}}},"media_ids":["632374"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[{"id":"167311","name":"SIAM"},{"id":"183925","name":"SIAM PP20"},{"id":"183926","name":"parallel processing"},{"id":"168681","name":"scientific computing"},{"id":"4305","name":"cse"},{"id":"166940","name":"SCS"},{"id":"416","name":"GTRI"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"631911":{"#nid":"631911","#data":{"type":"news","title":"CRNCH Brings Together Researchers Across Computing at Annual Summit","body":[{"value":"\u003Cp\u003E\u003Ca href=\u0022http:\/\/crnch.gatech.edu\/\u0022\u003EThe Center for Research Into Novel Computing Hierarchies (CRNCH\u003C\/a\u003E) hosts its \u003Ca href=\u0022http:\/\/www.crnch.gatech.edu\/content\/crnch-summit\u0022\u003Ethird summit\u003C\/a\u003E on Friday, Jan. 31.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis annual gathering has become one of the top forums to discuss the future of computing after Moore\u0026rsquo;s law, the past industry-wide trend of doubling transistors in a microchip nearly every two years that exponentially fueled computing innovation. Now dozens of experts will meet to discuss computing\u0026rsquo;s new frontier from the perspective of diverse areas including devices, edge computing, computer architecture, systems software, machine learning, quantum computing, and theory.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The CRNCH Summit is an exciting opportunity for Georgia Tech researchers and our visitors to share their latest breakthrough ideas for post-Moore computing,\u0026rdquo; said CRNCH Co-Director \u003Cstrong\u003EVivek Sarkar\u003C\/strong\u003E.\u0026nbsp; \u0026ldquo;We look forward to a productive meeting, and all the great research that will follow.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis year\u0026rsquo;s keynote is on computer architecture by \u003Cstrong\u003EDavid Mountain\u003C\/strong\u003E, the senior technical director at Advanced Computing Systems Research Program. Other leaders in their field follow, including Oak Ridge National Laboratory AI Institute Director \u003Cstrong\u003EDavid Womble\u003C\/strong\u003E, Notre Dame Professor \u003Cstrong\u003EPeter Kogge\u003C\/strong\u003E, National Instruments Academic Business Development Manager \u003Cstrong\u003EIgor Alvarado\u003C\/strong\u003E, Northrop Grumman System Architect \u003Cstrong\u003EBrian Konigsburg\u003C\/strong\u003E, and GTRI Quantum Systems Division Senior Research Scientist \u003Cstrong\u003ECraig Clark\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe event is also a chance for Georgia Tech faculty to showcase their research. School of Computer Science (SCS) Associate Professor \u003Cstrong\u003EAda Gavrilovska\u003C\/strong\u003E discusses edge computing possibilities. SCS Professor \u003Cstrong\u003EDana Randall\u003C\/strong\u003E offers emergent computation as a possibility. SCS Associate Professor \u003Cstrong\u003EHyesoon Kim\u003C\/strong\u003E presents heterogeneous computing systems. School of Electrical and Computer Engineering Professors \u003Cstrong\u003EArijit Raychowdhury \u003C\/strong\u003Eand \u003Cstrong\u003EMoin Qureshi\u003C\/strong\u003E bring their perspectives on future devices and quantum computers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe event highlights how CRNCH\u0026rsquo;s influence spans the entire institute with more than 30 dedicated faculty members from the \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/\u0022\u003ECollege of Computing\u003C\/a\u003E, the \u003Ca href=\u0022https:\/\/coe.gatech.edu\/\u0022\u003ECollege of Engineering\u003C\/a\u003E, the \u003Ca href=\u0022https:\/\/www.cos.gatech.edu\/\u0022\u003ECollege of Sciences\u003C\/a\u003E, and the \u003Ca href=\u0022https:\/\/gtri.gatech.edu\/\u0022\u003EGeorgia Tech Research Institute\u003C\/a\u003E. With their expertise in quantum computing, neuromorphic computing, design science, approximate computing, and more, CRNCH\u0026rsquo;s team is uniquely qualified to tackle the challenges of computing\u0026rsquo;s future. Since it was founded in 2017 by Co-director \u003Cstrong\u003ETom Conte\u003C\/strong\u003E, the center has paired researchers with funding, students with internships, companies with research labs on campus to test their leading-edge products, and even started a collection of specialized hardware called the \u003Ca href=\u0022https:\/\/www.scs.gatech.edu\/news\/614253\/first-rogue-takes-flight-how-crnch-builds-strong-industry-partnerships\u0022\u003ERogues Gallery\u003C\/a\u003E (RG).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe RG has supported close to 75 users with a quarter coming from external labs and institutions. In 2019, co-directors \u003Cstrong\u003EJason Riedy\u003C\/strong\u003E and \u003Cstrong\u003EJeff Young\u003C\/strong\u003E also ran external tutorials at the ASPLOS and PEARC conferences and presented RG-related work at multiple venues including SIAM CSE, PEARC, and ICRC. Looking forward, Young expects more challenging projects.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u0026ldquo;In 2020, the Rogues Gallery will see the deployment of additional hardware focused on Arm high-performance computing as well as new neuromorphic prototypes and support for quantum programming\u0026rdquo; he said. \u0026ldquo;We\u0026rsquo;re looking to support a more diverse set of research hardware as well as a more inclusive userbase to tackle the toughest challenges in post-Moore computing\u0026rdquo;.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The Center for Research Into Novel Computing Hierarchies (CRNCH) hosts its third summit on Friday, Jan. 31. "}],"uid":"34541","created_gmt":"2020-01-30 18:40:50","changed_gmt":"2020-01-30 18:49:40","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-01-30T00:00:00-05:00","iso_date":"2020-01-30T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"631913":{"id":"631913","type":"image","title":"CRNCH Summit 2020","body":null,"created":"1580410162","gmt_created":"2020-01-30 18:49:22","changed":"1580410162","gmt_changed":"2020-01-30 18:49:22","alt":"CRNCH flyer","file":{"fid":"240430","name":"Screen Shot 2020-01-30 at 1.47.48 PM.png","image_path":"\/sites\/default\/files\/images\/Screen%20Shot%202020-01-30%20at%201.47.48%20PM.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Screen%20Shot%202020-01-30%20at%201.47.48%20PM.png","mime":"image\/png","size":440791,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Screen%20Shot%202020-01-30%20at%201.47.48%20PM.png?itok=EJN3hoHs"}}},"media_ids":["631913"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576491","name":"CRNCH"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"631753":{"#nid":"631753","#data":{"type":"news","title":"Three Georgia Tech Faculty Named IEEE Fellows","body":[{"value":"\u003Cp\u003EGeorgia Tech faculty members Stanislav Emelianov, Richard Fujimoto, and Vivek Sarkar have been named IEEE Fellows, the society\u0026rsquo;s highest grade of membership, effective January 1, 2020. A distinction conferred by the IEEE Board of Directors, it is considered by the technical community to be a prestigious honor and an important career achievement.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEmelianov was recognized for his contributions to ultrasound elasticity and photoacoustic imaging. He is the Joseph M. Pettit Chair Professor in the School of Electrical and Computer Engineering and a Georgia Research Alliance Eminent Scholar.\u0026nbsp;An expert in biomedical imaging instrumentation and nanoagents for imaging and therapy, Emelianov\u0026nbsp;has joint appointments with the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University. He\u0026nbsp;is also a professor of Radiology at the Emory University School of Medicine and is affiliated with\u0026nbsp;Winship Cancer Institute\u0026nbsp;and other clinical units.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEmelianov is the director of the\u0026nbsp;Ultrasound Imaging and Therapeutics Research Laboratory, where his group works on the discovery, development, and clinical translation of diagnostic imaging and therapeutic instrumentation, augmented with theranostic nanoagents\u0026ndash;small particles that can diagnose and then treat a specific disease. He is a Fellow of the American Institute for Medical and Biological Engineering, and he has served as vice president for Ultrasonics of the IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFujimoto, a Regents\u0026rsquo; Professor in the\u0026nbsp;School of Computational Science and Engineering, was honored for his work in the field of parallel and distributed discrete event simulation. Discrete event simulations model operations within a system and have uses in a wide variety of applications. Fujimoto has authored and co-authored hundreds of technical papers on the subject as well as several books, which span application areas including transportation systems, telecommunication networks, and multiprocessor and defense systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe was also named a\u0026nbsp;\u003Ca href=\u0022https:\/\/www.iitsec.org\/\u0022\u003E2019 Interservice\/Industry Training, Simulation and Education Conference (I\/ITSEC) Fellow\u003C\/a\u003E. The announcement for both of these recognitions came only two years after he was named an\u0026nbsp;\u003Ca href=\u0022https:\/\/awards.acm.org\/fellows\u0022\u003EAssociation for Computing Machinery Fellow\u003C\/a\u003E\u0026nbsp;in 2017.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESarkar, the Stephen P. Fleming Chair of Telecommunications in the School of Computer Science and co-director of the Center for Research into Novel Computing Hierarchies, received his distinction\u0026nbsp;for contributions to compiler technologies for high-performance computing. His work in this area spans multiple aspects of parallel computing software including programming languages, compilers, runtime systems, and debugging and verification systems for high performance computers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESarkar has numerous recognitions in the field. He became a member of the IBM Academy of Technology in 1995 and an ACM Fellow in 2008. He has been serving as a member of the U.S. Department of Energy\u0026rsquo;s Advanced Scientific Computing Advisory Committee (ASCAC) since 2009 and has served on CRA\u0026rsquo;s Board of Directors since 2015.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe IEEE \u0026ndash; short for\u0026nbsp;the Institute of Electrical and Electronics Engineers \u0026ndash;\u0026nbsp;is the world\u0026rsquo;s leading professional association for advancing technology for humanity. Through its 420,000-plus members in more than 160 countries, the association is a leading authority on a wide variety of areas ranging from aerospace systems, computers and telecommunications, biomedical engineering, electric power, and consumer electronics.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDedicated to the advancement of technology, the IEEE publishes nearly one-third of the world\u0026rsquo;s literature in the electrical and electronics engineering and computer science fields, and has developed nearly 1,300 active industry standards.\u0026nbsp; The association also sponsors or co-sponsors more than 1,900 international technical conferences and events each year.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech faculty members Stanislav Emelianov, Richard Fujimoto, and Vivek Sarkar have been named IEEE Fellows, the society\u0026rsquo;s highest grade of membership, effective January 1, 2020.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech faculty members Stanislav Emelianov, Richard Fujimoto, and Vivek Sarkar have been named IEEE Fellows, the society\u2019s highest grade of membership, effective January 1, 2020."}],"uid":"34541","created_gmt":"2020-01-28 16:15:35","changed_gmt":"2020-01-28 16:16:04","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-01-27T00:00:00-05:00","iso_date":"2020-01-27T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"631691":{"id":"631691","type":"image","title":"Stanislav Emelianov","body":null,"created":"1580135990","gmt_created":"2020-01-27 14:39:50","changed":"1580135990","gmt_changed":"2020-01-27 14:39:50","alt":"photograph of Stanislav Emelianov","file":{"fid":"240348","name":"Stanislav Emelianov.jpg","image_path":"\/sites\/default\/files\/images\/Stanislav%20Emelianov.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Stanislav%20Emelianov.jpg","mime":"image\/jpeg","size":1122730,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Stanislav%20Emelianov.jpg?itok=8CFsQHH0"}},"631692":{"id":"631692","type":"image","title":"Richard Fujimoto","body":null,"created":"1580136032","gmt_created":"2020-01-27 14:40:32","changed":"1580136032","gmt_changed":"2020-01-27 14:40:32","alt":"photograph of Richard Fujimoto","file":{"fid":"240349","name":"Richard_Fujimoto.jpg","image_path":"\/sites\/default\/files\/images\/Richard_Fujimoto.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Richard_Fujimoto.jpg","mime":"image\/jpeg","size":134876,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Richard_Fujimoto.jpg?itok=kQsCptsQ"}},"631693":{"id":"631693","type":"image","title":"Vivek Sarkar","body":null,"created":"1580136074","gmt_created":"2020-01-27 14:41:14","changed":"1580136074","gmt_changed":"2020-01-27 14:41:14","alt":"photograph of Vivek Sarkar","file":{"fid":"240350","name":"Vivek-Sarkar.jpg","image_path":"\/sites\/default\/files\/images\/Vivek-Sarkar.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Vivek-Sarkar.jpg","mime":"image\/jpeg","size":574154,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Vivek-Sarkar.jpg?itok=A3KQxKSo"}}},"media_ids":["631691","631692","631693"],"related_links":[{"url":"http:\/\/www.gatech.edu","title":"Georgia Tech"},{"url":"http:\/\/www.ece.gatech.edu","title":"School of Electrical and Computer Engineering"},{"url":"https:\/\/www.ece.gatech.edu\/faculty-staff-directory\/stanislav-emelianov","title":"Stanislav Emelianov"},{"url":"http:\/\/www.cse.gatech.edu","title":"School of Computational Science and Engineering"},{"url":"https:\/\/cse.gatech.edu\/people\/richard-fujimoto","title":"Richard Fujimoto"},{"url":"https:\/\/scs.gatech.edu","title":"School of Computer Science"},{"url":"https:\/\/scs.gatech.edu\/people\/vivek-sarkar","title":"Vivek Sarkar"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"135","name":"Research"},{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"140","name":"Cancer Research"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"145","name":"Engineering"},{"id":"147","name":"Military Technology"}],"keywords":[{"id":"1506","name":"faculty"},{"id":"276","name":"Awards"},{"id":"109","name":"Georgia Tech"},{"id":"166855","name":"School of Electrical and Computer Engineering"},{"id":"166941","name":"School of Computer Science"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"3072","name":"IEEE Fellows"},{"id":"1464","name":"Georgia Research Alliance"},{"id":"183707","name":"biomedical imaging instrumentation"},{"id":"183722","name":"nano agents"},{"id":"3264","name":"Wallace H. Coulter Department of Biomedical Engineering"},{"id":"177467","name":"Emory School of Medicine"},{"id":"183709","name":"Winship Cancer Institute"},{"id":"178326","name":"Ultrasound Imaging and Therapeutics Research Laboratory"},{"id":"178329","name":"diagnostic imaging"},{"id":"183710","name":"therapeutic instrumentation"},{"id":"183711","name":"theranostic nano agents"},{"id":"60841","name":"American Institute for Medical and Biological Engineering"},{"id":"183712","name":"IEEE Ultrasonics"},{"id":"175028","name":"ferroelectrics"},{"id":"183713","name":"and Frequency Control Society"},{"id":"183714","name":"parallel and distributed discrete event simulation"},{"id":"109081","name":"transportation systems"},{"id":"183715","name":"telecommunication networks"},{"id":"183716","name":"multiprocessor and defense systems"},{"id":"172908","name":"Association for Computing Machinery"},{"id":"183717","name":"Center for Research into Novel Computing Hierarchies"},{"id":"183718","name":"compiler technologies"},{"id":"15030","name":"high-performance computing"},{"id":"183719","name":"parallel computing software"},{"id":"177379","name":"programming languages"},{"id":"183720","name":"compilers"},{"id":"183721","name":"runtime systems"},{"id":"183723","name":"debugging"},{"id":"101271","name":"Computing Research Association"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39451","name":"Electronics and Nanotechnology"},{"id":"39481","name":"National Security"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:jackie.nemeth@ece.gatech.edu\u0022\u003EJackie Nemeth\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Electrical and Computer Engineering\u003C\/p\u003E\r\n\r\n\u003Cp\u003E404-894-2906\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["jackie.nemeth@ece.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"631101":{"#nid":"631101","#data":{"type":"external_news","title":"Meet ML@GT: Harsh Shrivastava","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-01-15 14:09:02","changed_gmt":"2020-01-15 14:09:02","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"Tokyo Smart City studio","field_article_url":"","publication_url":"http:\/\/bit.ly\/3aby2L6","dateline":{"date":"2020-01-14T00:00:00-05:00","iso_date":"2020-01-14T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"630573":{"#nid":"630573","#data":{"type":"news","title":"Professor Awarded Two Fellow Titles for Modeling and Simulation in Same Week","body":[{"value":"\u003Cp\u003EEarning the distinction of fellow for scientific societies is an honor that many researchers spend their careers working toward. For School of Computational Science and Engineering (CSE) Regents\u0026rsquo; Professor\u0026nbsp;\u003Cstrong\u003ERichard Fujimoto\u003C\/strong\u003E, this was an honor earned not only once, but twice in early December.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFujimoto was named an\u0026nbsp;\u003Ca href=\u0022https:\/\/www.ieee.org\/about\/index.html\u0022\u003EInstitute of Electrical and Electronics Engineers (IEEE) Fellow\u003C\/a\u003E\u0026nbsp;and a\u0026nbsp;\u003Ca href=\u0022https:\/\/www.iitsec.org\/\u0022\u003E2019 Interservice\/Industry Training, Simulation and Education Conference (I\/ITSEC) Fellow\u003C\/a\u003E\u0026nbsp;for his work in parallel and distributed discrete event simulation. The announcement for both of these recognitions came only two years after he was named an\u0026nbsp;\u003Ca href=\u0022https:\/\/awards.acm.org\/fellows\u0022\u003EAssociation for Computing Machinery Fellow\u003C\/a\u003E\u0026nbsp;in 2017.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to the IEEE association, the IEEE Fellow is the highest grade of membership and is recognized by the technical community as a prestigious honor and an important career achievement. No more than one-tenth of one percent of the society\u0026rsquo;s membership is selected for the fellow grade each year.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI\/ITSEC is the world\u0026rsquo;s largest modeling, simulation, and training conference. Each year, one individual is selected as the I\/ITSEC Fellow, an award that is given in recognition of a researcher\u0026rsquo;s exceptional contributions to the field of modeling and simulation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this field, discrete event simulations are used to model operations within a system and have uses in a wide variety of applications. Fujimoto has authored and co-authored hundreds of technical papers on the as well as several books subject, which span application areas including transportation systems, telecommunication networks, and multiprocessor and defense systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAmong his various accomplishments, Fujimoto cited one body of work that had perhaps the greatest impact: \u0026ldquo;The High Level Architecture (HLA) for modeling and simulation (M\u0026amp;S) originally came out of the U.S. Department of Defense (DoD) at a time when their strategy was shifting from single stand-alone simulators to networking many simulators together,\u0026rdquo; said Fujimoto.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;HLA created a common architecture for all modeling and simulation in the DoD. I was responsible for leading the team responsible for defining the time management services that enabled different simulators to synchronize their interactions.\u0026rdquo;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFujimoto\u0026rsquo;s team completed the HLA effort in 1996, which became standardized with\u0026nbsp;\u003Ca href=\u0022https:\/\/standards.ieee.org\/standard\/1516-2010.html\u0022\u003EIEEE 1516\u003C\/a\u003E, and is still in use today.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENow, much of Fujimoto\u0026rsquo;s current work focuses on executing discrete event simulations for mobile devices.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In mobile computing environments, energy consumed by the computation is a large concern because it affects battery life. So, focusing on how to build energy efficient distributed simulations is where a lot of my work has been focused in the past couple of years,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFujimoto\u0026rsquo;s work in the field of discrete event simulation began in the 1980\u0026rsquo;s, long before mobile environments were a significant concern. However, as the fields of analytics and computing has shifted toward smart phones and mobile computing, Fujimoto urges the modeling and simulation community to keep pace by developing approaches focused on running simulations on mobile devices that interact with live data streams.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFujimoto said, \u0026ldquo;We moved from a phase where analytics are no longer restricted to the scientists, engineers, or experts in an area. Now, analytics are being used by everyone and mobile devices are being used everywhere.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;And my message to the simulation community is that modeling and simulation needs to be more widely used in mobile devices,\u0026rdquo; he said.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Professor Richard Fujimoto received two fellow titles in the same week for his work in parallel and distributed discrete event simulation."}],"uid":"34540","created_gmt":"2020-01-06 16:43:09","changed_gmt":"2020-01-06 16:43:38","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-01-06T00:00:00-05:00","iso_date":"2020-01-06T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"630522":{"id":"630522","type":"image","title":"Fujimoto Wins Two Fellow Titles","body":null,"created":"1578321959","gmt_created":"2020-01-06 14:45:59","changed":"1578321959","gmt_changed":"2020-01-06 14:45:59","alt":"Richard Fujimoto stands on stage with award in hand as two men stand on either side of him smiling.","file":{"fid":"240051","name":"fujimoto award 2.jpg","image_path":"\/sites\/default\/files\/images\/fujimoto%20award%202.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/fujimoto%20award%202.jpg","mime":"image\/jpeg","size":625374,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/fujimoto%20award%202.jpg?itok=FFvKzOtx"}}},"media_ids":["630522"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"8869","name":"fujimoto"},{"id":"183421","name":"cse-modeling"},{"id":"101","name":"Award"},{"id":"2697","name":"fellow"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"630479":{"#nid":"630479","#data":{"type":"news","title":"ML@GT Adds Six New Associate Directors to Leadership Team","body":[{"value":"\u003Cp\u003EThe \u003Ca href=\u0022http:\/\/ml.gatech.edu\/\u0022\u003EMachine Learning Center at Georgia Tech (ML@GT)\u003C\/a\u003E continues to diversify and expand its leadership team. Starting in January the leadership team will add \u003Cstrong\u003EDeven Desai, Polo Chau, Mark Davenport, Yao Xie, Mark Riedl, \u003C\/strong\u003Eand \u003Cstrong\u003EGeorge Lan\u003C\/strong\u003E as associate directors\u003Cstrong\u003E.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDesai, an associate professor in the \u003Ca href=\u0022https:\/\/www.scheller.gatech.edu\/directory\/faculty\/desai\/index.html\u0022\u003EScheller College of Business\u003C\/a\u003E, will be the center\u0026rsquo;s first associate director for Legal, Policy, Ethics, and Machine Learning. Not a technologist by training, Desai will draw from his experience working at Princeton\u0026#39;s Center for Information Technology Policy and Google as Academic Research Counsel to help policy makers, legal scholars and technologists work better together. This includes helping each party understand how a given technology works and what issues it might raise.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I am excited to be part of ML@GT because of the opportunity to be part of a world class group of thinkers and to connect our work to the world. \u0026nbsp;I believe there is a need to bridge the worlds of technology and law, policy, and ethics,\u0026rdquo; said Desai. \u0026ldquo;ML@GT is poised to increase not only machine learning insights and breakthroughs but also the way in which machine learning is built and used to serve society. I am honored and thrilled to be part of building that future.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EXie, an associate professor in the \u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/\u0022\u003EH. Milton Stewart School of Industrial Systems Engineering (ISyE),\u003C\/a\u003E is the first woman to join the leadership team. She will serve as the associate director for machine learning and data science where she will create better synergy between the ongoing research and education efforts between data science and machine learning as Georgia Tech builds a leading program in these areas.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I am particularly excited to work with the broader community of students and faculty on campus who are interested or involved with machine learning and data science and foster their participation,\u0026rdquo; said Xie.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELan, also an associate professor in ISyE has been appointed as the associate director for machine learning and statistics. In this role, Lan will promote research at the intersections between optimization, statistics, and machine learning and how they also apply in engineering. He will also help better facilitate communications for students coming from different home colleges or schools across campus.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I am excited to be joining the team with active and dynamic academic leaders. I look forward to working with them to address a diverse set of challenges that ML@GT faces, e.g., being adaptive to the priorities and criterions for our affiliated faculty members and students across different academic units,\u0026rdquo; said Lan.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs the associate director for machine learning and artificial intelligence, Riedl, an associate professor in the \u003Ca href=\u0022https:\/\/ic.gatech.edu\/\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E, will coordinate ML@GT\u0026rsquo;s strategy with respect to the broader field of artificial intelligence.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Artificial intelligence and machine learning have the potential to radically change virtually every aspect of our lives. With thought and care, these technologies can be a force for good. Georgia Tech is well-positioned to be a major voice in how technology and policy shape the future,\u0026rdquo; said Riedl.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWith more corporations integrating machine learning and artificial intelligence into their businesses, the center\u0026rsquo;s need for managing those relationships has increased significantly. Chau, an associate professor in the \u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E, will lead those relationships as the associate director for corporate relations for machine learning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I enjoy bringing people together, connecting industry with Georgia Tech researchers, bridging disciplines and innovating at their intersections. I\u0026rsquo;m excited to begin my new role as it will be a great way to help Georgia Tech further expand its national and global footprint,\u0026rdquo; said Chau.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs the associate director for community and students, Davenport is charged with creating a tight-knit community among faculty and students. Davenport, an associate professor in the \u003Ca href=\u0022https:\/\/www.ece.gatech.edu\/\u0022\u003ESchool of Electrical and Computer Engineering\u003C\/a\u003E, will work closely with the center staff to coordinate events and other opportunities to increase discussion and collaboration between research units.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe six new members will join \u003Ca href=\u0022http:\/\/ml.gatech.edu\/leadership\u0022\u003Eexisting leadership members\u003C\/a\u003E \u003Cstrong\u003EIrfan Essa, Justin Romberg, Zsolt Kira, \u003C\/strong\u003Eand \u003Cstrong\u003ELe Song. \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EAbout the Machine Learning Center at Georgia Tech\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EThe Machine Learning Center at Georgia Tech is an interdisciplinary research center bringing together more than 190 faculty members and 60 machine learning Ph.D. students from across the institute for meaningful collaboration and innovation in machine learning and artificial intelligence. Students and faculty are experts in areas including, but not limited, to computer vision, natural language processing, robotics, deep learning, ethics and fairness, computational finance, information security, and logistics and manufacturing. For more information, visit \u003Ca href=\u0022http:\/\/www.ml.gatech.edu\u0022\u003Ewww.ml.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The Machine Learning Center at Georgia Tech enters the new year with an expanded leadership team. "}],"uid":"34773","created_gmt":"2020-01-03 21:55:17","changed_gmt":"2020-01-06 13:00:55","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-01-06T00:00:00-05:00","iso_date":"2020-01-06T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"630495":{"id":"630495","type":"image","title":"ML@GT adds six new associate directors to the leadership team from across the institute.","body":null,"created":"1578314978","gmt_created":"2020-01-06 12:49:38","changed":"1578315834","gmt_changed":"2020-01-06 13:03:54","alt":"ML@GT adds six new associate directors to the leadership 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Desai","file":{"fid":"240042","name":"desai_deven_profile.jpg","image_path":"\/sites\/default\/files\/images\/desai_deven_profile_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/desai_deven_profile_0.jpg","mime":"image\/jpeg","size":73508,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/desai_deven_profile_0.jpg?itok=LyBZKrKM"}},"630501":{"id":"630501","type":"image","title":"Yao Xie, Associate Director for Machine Learning and Data Science ","body":null,"created":"1578315482","gmt_created":"2020-01-06 12:58:02","changed":"1578315482","gmt_changed":"2020-01-06 12:58:02","alt":"Yao 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Lan","file":{"fid":"240043","name":"gl_2.jpg","image_path":"\/sites\/default\/files\/images\/gl_2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/gl_2.jpg","mime":"image\/jpeg","size":63569,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/gl_2.jpg?itok=H7Kg9FBb"}},"630496":{"id":"630496","type":"image","title":"Mark Riedl, Associate Director for Machine Learning and Artificial Intelligence","body":null,"created":"1578315077","gmt_created":"2020-01-06 12:51:17","changed":"1578315077","gmt_changed":"2020-01-06 12:51:17","alt":"Mark Riedl","file":{"fid":"240040","name":"mark_riedl_007.jpg","image_path":"\/sites\/default\/files\/images\/mark_riedl_007.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/mark_riedl_007.jpg","mime":"image\/jpeg","size":213042,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/mark_riedl_007.jpg?itok=cvjhVAME"}},"630500":{"id":"630500","type":"image","title":"Polo Chau, Associate Director for Corporate Relations for Machine Learning","body":null,"created":"1578315397","gmt_created":"2020-01-06 12:56:37","changed":"1578315397","gmt_changed":"2020-01-06 12:56:37","alt":"Polo Chau","file":{"fid":"240044","name":"polo_chau_550x688_01_2.jpg","image_path":"\/sites\/default\/files\/images\/polo_chau_550x688_01_2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/polo_chau_550x688_01_2.jpg","mime":"image\/jpeg","size":222467,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/polo_chau_550x688_01_2.jpg?itok=A5nX3-qd"}},"630497":{"id":"630497","type":"image","title":"Mark Davenport, Associate Director for Community and Students","body":null,"created":"1578315143","gmt_created":"2020-01-06 12:52:23","changed":"1578315143","gmt_changed":"2020-01-06 12:52:23","alt":"Mark Davenport","file":{"fid":"240041","name":"davenport-square.jpg","image_path":"\/sites\/default\/files\/images\/davenport-square.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/davenport-square.jpg","mime":"image\/jpeg","size":31569,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/davenport-square.jpg?itok=z5EYby4U"}}},"media_ids":["630495","630498","630501","630499","630496","630500","630497"],"groups":[{"id":"576481","name":"ML@GT"},{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[{"id":"129","name":"Institute and Campus"},{"id":"134","name":"Student and Faculty"}],"keywords":[],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"630125":{"#nid":"630125","#data":{"type":"news","title":"Polo Chau Receives Intel Outstanding Researcher Award ","body":[{"value":"\u003Cp\u003ESchool of Computational Science and Engineering Associate Professor\u0026nbsp;\u003Cstrong\u003EPolo Chau\u003C\/strong\u003E\u0026nbsp;received the 2019 Outstanding Researcher Award from Intel, honoring his innovations in artificial intelligence and security, and for his contributions to the\u0026nbsp;\u003Ca href=\u0022https:\/\/istc-arsa.iisp.gatech.edu\/\u0022\u003EIntel Science \u0026amp; Technology Center for Adversary-Resilient Security Analytics\u003C\/a\u003E\u0026nbsp;(ISTC-ARSA)\u0026nbsp;at Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe award is given annually to recognize researchers across scientific disciplines who have demonstrated exceptional innovation for work related to Intel initiatives.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to the award description, Chau was recognized specifically for his enthusiasm to share knowledge with his fellow researchers while helping advance and demonstrate the ARSA center\u0026rsquo;s research values.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Periodically, Intel funds different centers to nurture and strengthen long-term collaborative relationships with academia. Intel is an excellent partner for transitioning research into practice to to solve challenging real world problems to benefit society,\u0026rdquo; said Chau.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEstablished in 2016 through a $1.5 million gift from Intel to Georgia Tech, the ISTC-ARSA has developed new security approaches for machine learning algorithms by studying application vulnerabilities in security analytics, search engines, facial and voice recognition, fraud detection, and more.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChau said, \u0026ldquo;Machine learning is used in all sorts of applications including high-stake problems such as directing self-driving cars or creating systems that determine how resources get allocated in an organization. So, a lot of critical solutions came out of the initial ARSA project in a short time.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESeveral large projects with real-world solutions that were led by Chau in the three short years that the center has been in operation include:\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/1705.02900.pdf\u0022\u003EKeeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/cse.gatech.edu\/news\/623845\/mlsploit-tackles-machine-learning-security-cloud-based-platform\u0022\u003EMLsploit\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/611783\/erasing-stop-signs-shapeshifter-shows-self-driving-cars-can-still-be-manipulated\u0022\u003EShapeShifter\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/606678\/georgia-tech-teams-intel-protect-artificial-intelligence-malicious-attacks-using-shield\u0022\u003ESHIELD\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The research focus of the center has really shaped a lot of the work I have been doing in the past three years and also what we are doing now. I think that it is an excellent problem space to work in because machine learning is is increasingly used in society to help make sense of large amount of complex data in the world,\u0026rdquo; he said.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Associate Professor Polo Chau received an internally-nominated Intel award for his research and work with the ARSA program at Georgia Tech."}],"uid":"34540","created_gmt":"2019-12-17 17:31:30","changed_gmt":"2019-12-17 17:31:30","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-12-17T00:00:00-05:00","iso_date":"2019-12-17T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"603774":{"id":"603774","type":"image","title":"CSE Faculty: Polo Chau","body":null,"created":"1521044651","gmt_created":"2018-03-14 16:24:11","changed":"1521044651","gmt_changed":"2018-03-14 16:24:11","alt":"CSE Associate Professor Polo Chau stands in front of a white board with equations written on it.","file":{"fid":"230123","name":"facultypolochau_06.jpg","image_path":"\/sites\/default\/files\/images\/facultypolochau_06.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/facultypolochau_06.jpg","mime":"image\/jpeg","size":472163,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/facultypolochau_06.jpg?itok=hrUlG6Vv"}}},"media_ids":["603774"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"4767","name":"Intel"},{"id":"83261","name":"Polo Chau"},{"id":"101","name":"Award"},{"id":"183340","name":"ARSA"},{"id":"365","name":"Research"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"629914":{"#nid":"629914","#data":{"type":"news","title":"Helping Underserved Populations Through Evaluation: Q\u0026A with Lorna Rivera","body":[{"value":"\u003Cp\u003EEvery year, thousands of researchers flock to\u0026nbsp;\u003Ca href=\u0022https:\/\/sc19.supercomputing.org\/\u0022\u003ESupercomputing\u003C\/a\u003E\u0026nbsp;(SC), the leading conference for high-performance computing (HPC) research, to present best practices and findings in the HPC field. Groups focused on creating inclusive measures in the HPC community have been steadily growing over the past few years at SC, and Georgia Tech\u0026rsquo;s own\u0026nbsp;\u003Cstrong\u003ELorna Rivera\u003C\/strong\u003E\u0026nbsp;is a catalyst for several of these initiatives.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERivera is a research scientist at Georgia Tech\u0026rsquo;s\u0026nbsp;\u003Ca href=\u0022https:\/\/ceismc.gatech.edu\/\u0022\u003ECenter for Education Integrating Science, Mathematics, and Computing\u003C\/a\u003E\u0026nbsp;(CEISMC) and for the\u0026nbsp;\u003Ca href=\u0022https:\/\/womeninhpc.org\/\u0022\u003EWomen in High Performance Computing\u003C\/a\u003E\u0026nbsp;(WHPC).\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHer research for both of these programs helps aggregate and analyze data in meaningful ways to determine custom-tailored approaches to advance initiatives focused on minority or underserved groups.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAfter providing a booth talk detailing initiatives in CEISMC and WHPC during\u0026nbsp;\u003Ca href=\u0022https:\/\/sc19.supercomputing.org\/\u0022\u003ESC19\u003C\/a\u003E, the School of Computational Science and Engineering had the opportunity to discuss with Rivera updates on her latest efforts.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/598783\/diversifying-hpc-community-qa-georgia-techs-lorna-rivera\u0022\u003E\u003Cstrong\u003E[Related News: Diversifying the HPC Community: Q\u0026amp;A with Georgia Tech\u0026rsquo;s Lorna Rivera]\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003EFor those unfamiliar, can you give a CEISMC from 30,000-foot view?\u003C\/em\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECEISMC connects Georgia Tech to surrounding K12 schools, focusing on underserved and minority areas, and works to move the needle in the state of Georgia to improve representation in the scientific areas of STEM and computing. It is led by\u0026nbsp;\u003Cstrong\u003EDr. Lizanne DeStefano\u003C\/strong\u003E\u0026nbsp;who has a reputation for not only pushing those programs but also in evaluating their effectiveness.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003EA lot of what CEISMC does is focused on evaluation of these programs. Can you tell us a what this evaluation looks like and what you are looking for?\u003C\/em\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEvaluation can mean a lot of things and it differs from research, although you can do both research and evaluation. Evaluation differs in that you want to have a deep understanding of the context in which you are working. In research, you often want to wash out context because you want to be able to replicate things, and you can do that with evaluation too, they\u0026rsquo;re not completely separate boxes. But sometimes in evaluation, you study things not necessarily with the intention of replicating but because you want to understand the unique factors of that particular situation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003EWhat kind of communities are you looking to serve or help enhance in your initiatives?\u003C\/em\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI personally try to always pay attention to those who are underserved in a particular community. I use an evaluation approach that accounts for what we look at in thirds. So, one third is focused on the quality of science being done, another third is focused on the way that science is being taught, and the remaining third is focused on the disadvantaged in that group that is being served. Then, in the middle, if you think about it like a Venn Diagram, those three come together and that is where you find the program and evaluation.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor more information about the approach, which was pioneered by CEISMC Executive Director\u003Cstrong\u003E\u0026nbsp;Lizanne DeStefano\u003C\/strong\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1002\/ev.178\u0022\u003Eclick here.\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003EDoes this approach transcend or translate to your efforts with the WHPC program?\u003C\/em\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAbsolutely! I am the director of research for Women in HPC and it\u0026rsquo;s an organization that started at the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.epcc.ed.ac.uk\/\u0022\u003EUniversity of Edinburgh\u0026rsquo;s EPCC\u003C\/a\u003E\u0026nbsp;\u0026nbsp;and it is now an international organization. My role with WHPC is to understand the unique experiences of women in the international HPC community. You may notice that women of color are extremely underrepresented in this community, so, I am particularly passionate about moving the needle in this space. It is very important to me and, the way that we can accomplish this is, yet again, by evaluation. The WHPC programs are all new and are being rolled out now, so I am in the initial phases of evaluating. We have the mentoring program, which I got to talk about today in the Georgia Tech booth, we have a fellowship program that we just started, and we have our first three fellows with us this year. Then we are looking to broaden and see what else we can do in this space while growing sustainably because we do not want to grow too fast.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003EThis sounds like WHPC has a lot going on \u0026ndash; not to mention your first inaugural event is coming up! Can you tell us a little about it and what to expect?\u0026nbsp;\u003C\/em\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe have our first\u0026nbsp;\u003Ca href=\u0022https:\/\/womeninhpc.org\/events\/summit-2020\u0022\u003EWomen in HPC Summit\u003C\/a\u003E\u0026nbsp;at the end of April and early May that is going to be held together with Simon Fraser University and will be held in Vancouver, Canada. We are very excited! There will be a series of technical talks, workshops, and tutorials. Sometimes, we hear from our members that they do not want to focus on the technical content and rather they want to focus on the experience of women, or vice versa and that they want to focus on the technical. We are hoping, now that we have our own event and are not limited to a one-day workshop, we can meet both of those needs.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003EIs there anything else you want to stress to people regarding the WHPC?\u003C\/em\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf you are interested in this topic, regardless of your gender, WHPC is for everybody. We need everybody involved and as many advocates as possible. Please don\u0026rsquo;t let the name turn anyone off, we are open to all and we want to make this a better space for everyone!\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CESIMC Research Scientist Lorna Rivera discusses using evaluation as a means to help underserved populations, including minority groups and women in the high performance computing community."}],"uid":"34540","created_gmt":"2019-12-11 14:40:31","changed_gmt":"2019-12-11 14:51:44","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-12-11T00:00:00-05:00","iso_date":"2019-12-11T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"629915":{"id":"629915","type":"image","title":"Lorna Rivera at SC19","body":null,"created":"1576075829","gmt_created":"2019-12-11 14:50:29","changed":"1576075829","gmt_changed":"2019-12-11 14:50:29","alt":"Lorna Rivera sits on a white couch in front of a pale blue banner at SC\u002719 in the Georgia Tech booth.","file":{"fid":"239879","name":"lorna.jpg","image_path":"\/sites\/default\/files\/images\/lorna.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/lorna.jpg","mime":"image\/jpeg","size":1747138,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/lorna.jpg?itok=DunfOdV5"}}},"media_ids":["629915"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[{"id":"702","name":"hpc"},{"id":"183054","name":"CHiPC"},{"id":"167322","name":"supercomputing"},{"id":"183253","name":"WHPC"},{"id":"411","name":"CEISMC"},{"id":"176247","name":"Lorna Rivera"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"629864":{"#nid":"629864","#data":{"type":"news","title":"Researchers Receive $1.7 Million Grant to Build Robot for Sub-surface Soil Exploration","body":[{"value":"\u003Cp\u003EAn interdisciplinary research group from Georgia Tech has received a grant from the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nsf.gov\/\u0022 target=\u0022_blank\u0022\u003ENational Science Foundation\u003C\/a\u003E\u0026nbsp;to design an advanced self-propelled robot to explore the subsurface and record a range of signals as it advances.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe project is led by principal investigator Chlo\u0026eacute; Arson, an associate professor in the School of Civil and Environmental Engineering. The research team includes faculty from across the Institute, including fellow Civil and Environmental Engineering Professor David Frost, Associate Professor Polo Chau from the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/\u0022 target=\u0022_blank\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E, Professor Daniel Goldman from the\u0026nbsp;\u003Ca href=\u0022https:\/\/physics.gatech.edu\/\u0022 target=\u0022_blank\u0022\u003ESchool of Physics\u0026nbsp;\u003C\/a\u003Eand Assistant Professor Frank Hammond from the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.me.gatech.edu\/\u0022 target=\u0022_blank\u0022\u003EGeorge W. Woodruff School of Mechanical Engineering\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/ce.gatech.edu\/news\/researchers-receive-17-million-grant-build-robot-subsurface-soil-exploration\u0022\u003E\u003Cstrong\u003ERead the full article here.\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"An interdisciplinary research group from Georgia Tech has received a grant from the National Science Foundation to design an advanced self-propelled robot to explore the subsurface and record a range of signals as it advances."}],"uid":"34540","created_gmt":"2019-12-10 14:49:36","changed_gmt":"2019-12-10 14:50:54","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-12-10T00:00:00-05:00","iso_date":"2019-12-10T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"629865":{"id":"629865","type":"image","title":"Sub-surface Robot","body":null,"created":"1575989428","gmt_created":"2019-12-10 14:50:28","changed":"1575989428","gmt_changed":"2019-12-10 14:50:28","alt":"An digital rendering of a robot that looks like a torpedo under ground","file":{"fid":"239859","name":"BRISS copy 900x531.jpg","image_path":"\/sites\/default\/files\/images\/BRISS%20copy%20900x531.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/BRISS%20copy%20900x531.jpg","mime":"image\/jpeg","size":154325,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/BRISS%20copy%20900x531.jpg?itok=TCF7xwxZ"}}},"media_ids":["629865"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"181220","name":"cse-ml"},{"id":"122801","name":"ML"},{"id":"83261","name":"Polo Chau"}],"core_research_areas":[{"id":"39521","name":"Robotics"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMelissa Fralick\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Manager\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["Melissa.fralick@ce.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"628671":{"#nid":"628671","#data":{"type":"news","title":"FairVis is Helping Data Scientists Discover Societal Biases in their Machine Learning Models ","body":[{"value":"\u003Cp\u003EResearchers at Georgia Tech, Carnegie Mellon University, and University of Washington have developed a data visualization system that can help data scientists discover bias in machine learning algorithms.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/1904.05419.pdf\u0022\u003EFairVis\u003C\/a\u003E, presented at\u0026nbsp;\u003Ca href=\u0022http:\/\/ieeevis.org\/year\/2019\/welcome\u0022\u003EIEEE Vis 2019\u003C\/a\u003E\u0026nbsp;in Vancouver, is the first system to integrate a novel technique that allows users to audit the fairness of machine learning models by identifying and comparing different populations in their data sets.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to School of Computational Science and Engineering (CSE) Professor and co-investigator\u0026nbsp;\u003Ca href=\u0022https:\/\/poloclub.github.io\/polochau\/\u0022\u003E\u003Cstrong\u003EPolo Chau\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E,\u0026nbsp;\u003C\/strong\u003Ethis feat has never been accomplished by any platform before, and is a major contribution of FairVis to the data science and machine learning communities.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Computers are never going to be perfect. So, the question is how to help people prioritize where to look in their data, and then, in a scalable way, enable them to compare these areas to other similar or dissimilar groups in the data. By enabling comparison of groups in a data set,\u0026nbsp;FairVis allows data to become very scannable,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn order to do accomplish this, FairVis uses two novel techniques to find subgroups that are statistically similar.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe first technique groups similar items together in the training data set, calculates various performance metrics like accuracy, and then shows users which groups of people the algorithm may be biased against. The second technique uses statistical divergence to measure the distance between subgroups to allow users to compare similar groups and find larger patterns of bias.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese outputs are then viewed and analyzed through FairVis\u0026rsquo; visual analytics system, which is designed to specifically discover and show intersectional bias.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIntersectional bias, or bias that is found when looking at populations defined by multiple features, is a mounting challenge for scientists to tackle in an increasingly diverse world.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;While a machine learning algorithm may work very well in general, there may be certain groups for which it fails. For example, various face detection algorithms were found to be 30 percent less accurate for darker skinned women than for lighter skinned men. When you look at more specific groups of sex, race, nationality, and more, there can be hundreds or thousands of groups to audit,\u0026rdquo; said\u0026nbsp;Carnegie Mellon University\u0026nbsp;Ph.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/cabreraalex.com\/\u0022\u003E\u003Cstrong\u003EAlex Cabrera\u003C\/strong\u003E\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECabrera is the primary investigator of FairVis and has been pursuing this problem since he was an undergraduate student at Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;During the summer of my junior year I had been researching various topics in machine learning, and discovered some recent work showing how machine learning models can encode and worsen societal biases. I quickly realized that not only was this a significant issue, with examples of biased algorithms in everything from hiring systems to self-driving cars, but that my own work during my internship had the possibility to be biased against lower socioeconomic groups.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis is when Cabrera reached out to Chau who then recruited the help of CSE alumni\u0026nbsp;\u003Ca href=\u0022https:\/\/minsuk.com\/\u0022\u003E\u003Cstrong\u003EMinsuk Kahng\u003C\/strong\u003E\u003C\/a\u003E, CSE Ph.D.\u0026nbsp;\u003Ca href=\u0022https:\/\/fredhohman.com\/\u0022\u003E\u003Cstrong\u003EFred Hohman\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E,\u0026nbsp;\u003C\/strong\u003ECollege of Computing undergraduate student\u0026nbsp;\u003Ca href=\u0022http:\/\/www.willepperson.com\/\u0022\u003E\u003Cstrong\u003EWill Epperson\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E,\u0026nbsp;\u003C\/strong\u003Eand University of Washington Assistant Professor\u0026nbsp;\u003Ca href=\u0022http:\/\/jamiemorgenstern.com\/\u0022\u003E\u003Cstrong\u003EJamie Morgenstern\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMorgenstern is the lead researcher for a number of projects related to fairness in machine learning, including the study Cabrera mentioned about self-driving cars. This particular study shows the potentially\u0026nbsp;\u003Ca href=\u0022https:\/\/www.scs.gatech.edu\/news\/620309\/research-reveals-possibly-fatal-consequences-algorithmic-bias\u0022\u003Efatal consequences of algorithmic bias\u003C\/a\u003E\u0026nbsp;which highlights the severity of software created without fairness embedded into its core.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFairVis is one of the first systems that helps us achieve a dramatic step towards understanding and addressing the problem of fairness in machine learning, and prevents similar headlines from making their way to reality in the future.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHowever, Cabrera stressed that the solution does not simply end with better data practices.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Fairness is an extremely difficult problem, a so-called \u0026lsquo;wicked problem\u0026rsquo;, that will not be solved by technology alone,\u0026rdquo; he said.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Social scientists, policy makers, and engineers need to work together to make inroads and ensure that our algorithms are equitable for all people. We hope FairVis is a step in this direction and helps people start the conversation about how to tackle and address these issues.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Researchers present FairVis -  a visual analytics system that enables discovery of user subgroups to discover bias in machine learning models."}],"uid":"34540","created_gmt":"2019-11-06 18:04:14","changed_gmt":"2019-12-06 14:44:50","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-11-06T00:00:00-05:00","iso_date":"2019-11-06T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"628667":{"id":"628667","type":"image","title":"FairVis","body":null,"created":"1573063180","gmt_created":"2019-11-06 17:59:40","changed":"1573063180","gmt_changed":"2019-11-06 17:59:40","alt":"A screenshot of a\u00a0visual analytics system that enables discovery of user subgroups to discover bias in machine learning models","file":{"fid":"239426","name":"FairVis.jpg","image_path":"\/sites\/default\/files\/images\/FairVis.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/FairVis.jpg","mime":"image\/jpeg","size":29572,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/FairVis.jpg?itok=wsbnkU4a"}}},"media_ids":["628667"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"1299","name":"GVU Center"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"83261","name":"Polo Chau"},{"id":"181315","name":"cse-dse"},{"id":"181220","name":"cse-ml"},{"id":"182995","name":"FairVis"},{"id":"1496","name":"Ethics"},{"id":"9167","name":"machine learning"},{"id":"307","name":"fairness"},{"id":"182996","name":"Alex Cabrera"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:kristen.perez@cc.gatech.edu\u0022\u003EKristen Perez\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"629306":{"#nid":"629306","#data":{"type":"news","title":"ML@GT Displays Diverse Research Interests at NeurIPS","body":[{"value":"\u003Cp\u003EWith 30\u0026nbsp;papers to present, the \u003Ca href=\u0022http:\/\/ml.gatech.edu\/\u0022\u003EMachine Learning Center at Georgia Tech (ML@GT)\u003C\/a\u003E will make a strong showing at this year\u0026rsquo;s Neural Information Processing Systems (NeurIPS) conference, Dec. 8-14 in Vancouver, British Columbia.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe conference fosters the exchange of research on the theoretical, technological, biological, and mathematical aspects of neural information processing systems. ML@GT research spans all of the categories, including work on \u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/1908.07896.pdf\u0022\u003Eneural data\u003C\/a\u003E, \u003Ca href=\u0022https:\/\/b.gatech.edu\/2NS3Bz9\u0022\u003Efairness in machine learning algorithms\u003C\/a\u003E, and \u003Ca href=\u0022http:\/\/bit.ly\/2NEH1Lr\u0022\u003Eteaching artificial intelligence to work in changing environments\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;NeurIPS continues to be an exciting conference to attend because of the diverse research that is being presented each year. It is one of the most sought-after and anticipated conferences every year, and it\u0026rsquo;s good to see ML@GT have a good variety of papers being accepted,\u0026rdquo; said \u003Cstrong\u003ETuo Zhao\u003C\/strong\u003E, an assistant professor in the \u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/\u0022\u003EH. Milton Stewart School of Industrial and Systems Engineering (ISyE)\u003C\/a\u003E. Zhao has three accepted papers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENeurIPS also continues to be a hotspot for major technology companies like Google, Microsoft, Facebook and to recruit new talent.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo see a full list and recaps of ML@GT\u0026rsquo;s accepted papers \u003Ca href=\u0022http:\/\/bit.ly\/2WTlnGo\u0022\u003Eclick here\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech will present 30 papers at one of the hottest conferences in artificial intelligence."}],"uid":"34773","created_gmt":"2019-11-25 13:50:19","changed_gmt":"2019-11-25 13:50:19","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-11-25T00:00:00-05:00","iso_date":"2019-11-25T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"628944":{"id":"628944","type":"image","title":"Georgia Tech will present 30 papers at the Thirty-third Conference on Neural Information Processing Systems","body":null,"created":"1573672076","gmt_created":"2019-11-13 19:07:56","changed":"1573672217","gmt_changed":"2019-11-13 19:10:17","alt":"NeurIPS 2019","file":{"fid":"239533","name":"NeurIPS 2019_Twitter.png","image_path":"\/sites\/default\/files\/images\/NeurIPS%202019_Twitter_0.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/NeurIPS%202019_Twitter_0.png","mime":"image\/png","size":764596,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/NeurIPS%202019_Twitter_0.png?itok=fHpwKoXh"}}},"media_ids":["628944"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"629130":{"#nid":"629130","#data":{"type":"news","title":"Hive Supercomputer Makes its Debut as Georgia Tech\u2019s Largest High-Performance Computing Resource in New State-of-the-Art Datacenter","body":[{"value":"\u003Cp\u003EGeorgia Tech now boasts a $5.3 million high-performance computing (HPC) system that is enabling data-driven discovery in data science, computational astrophysics, biology, chemistry, and materials science at the institute.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKnown as Hive, this newly operational supercomputer supports research for over 33 faculty, 54 research scientists and postdocs, 195 graduate students, and 56 undergraduate students from the colleges of Computing, Engineering, and Sciences.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHive was acquired by the Institute for Data Engineering and Science (IDEaS) through a $3.7 million \u003Ca href=\u0022https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=1828187\u0026amp;HistoricalAwards=false\u0022 target=\u0022_blank\u0022\u003ENational Science Foundation (NSF) Major Research and Instrumentation Program grant \u003C\/a\u003Eand a $1.6 million contribution by Georgia Tech in 2018.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/news\/611216\/georgia-tech-award-equips-codas-data-center-new-supercomputer\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003E[Related News: Georgia Tech Award Equips Coda\u0026rsquo;s Data Center with New Supercomputer]\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIDEaS Director and School of Computational Science and Engineering (CSE) Professor and Interim Chair Srinivas Aluru is the primary investigator on the grant. According to Aluru, \u0026ldquo;Hive allows us to solve\u0026nbsp;large scale of data-intensive problems and will be an asset to Georgia Tech for the next five years or so.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe supercomputer has over 100 trillion bytes of memory, 11,500 compute cores, and 2.5 quadrillion bytes of storage. To put it simply, this cluster, which delivers 0.7 petaflops of performance based on the \u003Ca href=\u0022https:\/\/www.top500.org\/project\/linpack\/\u0022 target=\u0022_blank\u0022\u003ELINPACK Benchmark\u003C\/a\u003E, is fast.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E[VIDEO::https:\/\/youtu.be\/ZHV8fxzhlDw::aVideoStyle]\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocal and National Collaborations\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHive represents several interdisciplinary, cross-institute collaborative efforts. One of these is the attachment of this supercomputer to the \u003Ca href=\u0022https:\/\/www.xsede.org\/\u0022 target=\u0022_blank\u0022\u003EExtreme Science and Engineering Discovery Environment\u003C\/a\u003E (XSEDE) program, which funds and interconnects supercomputers nationwide, enabling national collaborative use of this resource.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We have reserved about 20 percent capacity of the machine to support research activities of regional partners, minority-serving institutions, and others through the XSEDE Program,\u0026rdquo; Aluru said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;One particular segment that we are focusing on is supporting historically black colleges and universities (HBCUs) and minority institutions in or around Atlanta. We are also providing active training programs to bring faculty and students from these institutions on board to use high-performance computing,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECurrently, Morehouse College, Spelman College, and Clark Atlanta University all have research on the machine with the support of this program.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EGeorgia Tech\u0026rsquo;s HPC Future\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHive made its official debut with a ribbon-cutting ceremony on Oct. 21 at the Coda datacenter. Georgia Tech Executive Vice President of Research Chouki Abdallah delivered opening remarks before attendees were invited for a private tour of the new facility and an up-close view of the Hive computer \u0026ndash; which featured newly-added blue LED lights across its many stacks.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The institute is trying to come up with a long-term plan for high-performance computing, and this is a manifestation of our performance so far,\u0026rdquo; said Abdallah during the ceremony.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPart of this plan includes moving all of Georgia Tech\u0026rsquo;s computing services and the Office of Information Technology to the new data center by the end of the school year.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESix Years in the Making\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHive\u0026rsquo;s existence represents roughly six years of planning and preparation across Georgia Tech units and several external organizations. This includes the construction of an entirely new 80,000 sq. ft. data center in the \u003Ca href=\u0022https:\/\/codatechsquare.com\/\u0022 target=\u0022_blank\u0022\u003ECoda building\u003C\/a\u003E which is managed by \u003Ca href=\u0022https:\/\/www.databank.com\/\u0022 target=\u0022_blank\u0022\u003EDataBank\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIntegral to this datacenter planning and readying for the Hive supercomputer was Georgia Tech\u0026rsquo;s \u003Ca href=\u0022https:\/\/pace.gatech.edu\/\u0022 target=\u0022_blank\u0022\u003EPartnership for an Advanced Computing Environment \u003C\/a\u003E(PACE) team.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to PACE Senior HPC Architect Paul Manno, \u0026ldquo;We have partnered with DataBank and we are working with them to create what is essentially a great research resource, but also a great operations datacenter, for Georgia Tech and others. Before, we were limited by space, power, and cooling in the old datacenter on campus.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe said, \u0026ldquo;Now, in addition to having much more space, we are starting out with roughly two megawatts of power for Georgia Tech and we can expand that up to 8-10 megawatts, which gives us the ability to expand well beyond what people had originally envisioned and provides Georgia Tech a means to grow into the future.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Hive is the new $5.3 million high-performance computing system housed in Coda. Hive is now the largest HPC resource Georgia Tech owns and will support data-driven research in astrophysics, computational biology, health sciences, computational chemistry, m"}],"uid":"34540","created_gmt":"2019-11-19 19:43:55","changed_gmt":"2019-11-19 19:47:46","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-11-19T00:00:00-05:00","iso_date":"2019-11-19T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"629125":{"id":"629125","type":"image","title":"Hive Cluster Supercomputer Ribbon Cutting","body":null,"created":"1574189412","gmt_created":"2019-11-19 18:50:12","changed":"1574189412","gmt_changed":"2019-11-19 18:50:12","alt":"A photograph of the Hive cluster supercomputer with blue LED lights","file":{"fid":"239594","name":"Coda Ribbon Cutting 3.jpg","image_path":"\/sites\/default\/files\/images\/Coda%20Ribbon%20Cutting%203.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Coda%20Ribbon%20Cutting%203.jpg","mime":"image\/jpeg","size":499293,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Coda%20Ribbon%20Cutting%203.jpg?itok=x9GfF0_P"}}},"media_ids":["629125"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"135","name":"Research"}],"keywords":[{"id":"4305","name":"cse"},{"id":"702","name":"hpc"},{"id":"181217","name":"cse-hpc"},{"id":"167322","name":"supercomputing"},{"id":"4449","name":"ideas"},{"id":"168094","name":"Srinivas Aluru"},{"id":"173060","name":"coda"},{"id":"174872","name":"HIVE"},{"id":"167325","name":"supercomputer"},{"id":"183054","name":"CHiPC"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39471","name":"Materials"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"628911":{"#nid":"628911","#data":{"type":"news","title":"High-Performance Computing Researchers Boast Two Best Student Paper Finalists at SC19","body":[{"value":"\u003Cp\u003ESupercomputers are crunching numbers to facilitate data analysis in social computing, genomics in healthcare, three-dimensional modeling in material engineering, and more. And, the number of computational problems that are too large to solve on standard computers is growing rapidly causing high-performance computing (HPC) to become a necessity for industry and academia alike.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech researchers are stepping in to answer this growing need by leading HPC research from a variety of approaches and are preparing to present their latest findings in Denver, Colorado next week at the 2019\u0026nbsp;\u003Ca href=\u0022https:\/\/sc19.supercomputing.org\/\u0022\u003EInternational Conference for High Performance Computing, Networking, Storage, and Analysis.\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlso known as Supercomputing or SC19, the annual conference features leading research in the fields of HPC and exascale computing with an emphasis on real-world application.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis year, Georgia Tech\u0026rsquo;s presence boasts four papers, four workshops, two posters, and one Birds of a Feather discussion.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETwo of the four papers,\u0026nbsp;\u003Cem\u003E\u003Ca href=\u0022https:\/\/sc19.supercomputing.org\/?post_type=page\u0026amp;p=3479\u0026amp;id=pap373\u0026amp;sess=sess165\u0022\u003ECARE: Compiler-Assisted Recovery from Soft Failures\u003C\/a\u003E\u0026nbsp;\u003C\/em\u003Eand\u0026nbsp;\u003Cem\u003E\u003Ca href=\u0022https:\/\/sc19.supercomputing.org\/?post_type=page\u0026amp;p=3479\u0026amp;id=pap449\u0026amp;sess=sess158\u0022\u003EGPU Acceleration of Extreme Scale Pseudo-Spectral Simulations of Turbulence Using Asynchronism\u003C\/a\u003E\u0026nbsp;\u003C\/em\u003Eare best student paper award finalists. The announcement naming the winner of the award will be made at the SC19 award ceremony on Nov. 21.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech\u0026rsquo;s presence also comprises a number of activities outside of the conference agenda, including the Georgia Tech booth (#1809) on the vendor floor, which will give SC19 attendees an opportunity to engage directly with researchers, students, and staff alike.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis year, booth #1809 features four live demos provided by researchers and students, including a presentation about the\u0026nbsp;\u003Ca href=\u0022https:\/\/womeninhpc.org\/2019\/03\/mentoring-programme-2019\/\u0022\u003EWomen in High Performance Computing\u003C\/a\u003E\u0026nbsp;(WHPC) program by WHPC Director and\u0026nbsp;\u003Ca href=\u0022https:\/\/www.ceismc.gatech.edu\/\u0022\u003ECenter for Education Integrating Science, Mathematics, and Computing\u003C\/a\u003E\u0026nbsp;Research Scientist II\u0026nbsp;\u003Ca href=\u0022https:\/\/www.ceismc.gatech.edu\/about\/staffdirectory\/lorna-rivera\u0022\u003E\u003Cstrong\u003ELorna Rivera\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo see a full listing of Georgia Tech\u0026rsquo;s presence in the Supercomputing proceedings and a demo schedule click\u0026nbsp;\u003Ca href=\u0022https:\/\/mailchi.mp\/59cdab896d2a\/gtsc19\u0022\u003Ehere.\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA full listing of papers with Georgia Tech Affiliations this year are below:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc19.supercomputing.org\/presentation\/?id=pap373\u0026amp;sess=sess165\u0022\u003E\u003Cem\u003ECARE: Compiler-Assisted Recovery from Soft Failures\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EChao Chen, Greg Eisenhauer, Santosh Pande,\u0026nbsp;\u003C\/strong\u003EQiang Guan\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc19.supercomputing.org\/presentation\/?id=pap482\u0026amp;sess=sess170\u0022\u003E\u003Cem\u003EDistributed Enhanced Suffix Arrays: Efficient Algorithms for Construction and Querying\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPatrick Flick, Srinivas Aluru\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc19.supercomputing.org\/presentation\/?id=pap449\u0026amp;sess=sess158\u0022\u003E\u003Cem\u003EGPU Acceleration of Extreme Scale Pseudo-Spectral Simulations of Turbulence Using Asynchronism\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EKiran Ravikumar,\u0026nbsp;\u003C\/strong\u003EDavid Appelhans,\u0026nbsp;\u003Cstrong\u003EP.K. Yeung\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc19.supercomputing.org\/presentation\/?id=pap158\u0026amp;sess=sess156\u0022\u003E\u003Cem\u003EPractical and Efficient Incremental Adaptive Routing for HyperX Networks\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003ENic McDonald,\u0026nbsp;\u003Cstrong\u003EMikhail Isaev,\u0026nbsp;\u003C\/strong\u003EAdriana Flores, Al Davis, John Kim\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/mc.us1.list-manage.com\/pages\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=0a6d74d0a9\u0022 target=\u0022_blank\u0022\u003E\u003Cem\u003EAutoFFT: A Template-Based FFT Codes Auto-Generation Framework for ARM and X86 CPUs\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E*Zhihao Li\u003C\/strong\u003E, Haipeng Jia, Yunquan Zhang, Tun Chen, Liang Yuan, Luning, Cao, Xiao Wang\u003Cbr \/\u003E\r\n\u003Cem\u003E*Note: This paper is by a Georgia Tech visiting Ph.D. student but is not a Georgia Tech published item.\u003C\/em\u003E\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe\u0026nbsp;\u003Ca href=\u0022http:\/\/chipc.gatech.edu\/job-opportunities\u0022\u003ECenter for High Performance Computing\u003C\/a\u003E\u0026nbsp;(CHiPC) leads this year\u0026rsquo;s Georgia Tech efforts under CHiPC Director and School of Computational Science and Engineering Professor\u0026nbsp;\u003Ca href=\u0022http:\/\/vuduc.org\/v2\/\u0022\u003E\u003Cstrong\u003ERich Vuduc\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;I\u0026rsquo;m really proud of Georgia Tech\u0026rsquo;s presence at SC19 this year, especially the two best paper finalists. It\u0026rsquo;s a good warm-up for SC20, where we will be the home team,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EVuduc is referencing the fact that Supercomputing is making its way for the first time to Atlanta next year. This means Georgia Tech\u0026rsquo;s HPC community is buzzing with anticipation to showcase its newest HPC resource, the\u0026nbsp;\u003Ca href=\u0022http:\/\/chipc.gatech.edu\/hg\/item\/611216\u0022\u003EHive.\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech\u0027s high-performance computing researchers head to Denver for Supercomputing 2019."}],"uid":"34540","created_gmt":"2019-11-12 18:25:45","changed_gmt":"2019-11-12 19:53:20","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-11-12T00:00:00-05:00","iso_date":"2019-11-12T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"628909":{"id":"628909","type":"image","title":"SC19 logo","body":null,"created":"1573580222","gmt_created":"2019-11-12 17:37:02","changed":"1573580222","gmt_changed":"2019-11-12 17:37:02","alt":"SC19 logo on black background","file":{"fid":"239518","name":"ogimage_1200.png","image_path":"\/sites\/default\/files\/images\/ogimage_1200.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/ogimage_1200.png","mime":"image\/png","size":46727,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/ogimage_1200.png?itok=n3LbapzC"}}},"media_ids":["628909"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"702","name":"hpc"},{"id":"181217","name":"cse-hpc"},{"id":"183054","name":"CHiPC"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:kristen.perez@cc.gatech.edu\u0022\u003EKristen Perez\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"610537":{"#nid":"610537","#data":{"type":"news","title":"NSF Top Supercomputer Award Goes to Texas, and Georgia Tech is on the Team","body":[{"value":"\u003Cp\u003EA team from Georgia Tech will be a part of the new supercomputing system known as Frontera that will be located at the Texas Advanced Computing Center (TACC) and funded by a $60 million award from the National Science Foundation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe National Science Foundation (NSF) \u003Ca href=\u0022https:\/\/www.nsf.gov\/news\/news_summ.jsp?cntn_id=296431\u0026amp;org=NSF\u0026amp;from=news\u0022\u003Eannounced the award\u003C\/a\u003E, which will support the acquisition and deployment of the new supercomputer to TACC at The University of Texas at Austin, today. Anticipated to begin operations in 2019, Frontera will be the fastest at any U.S. university, among the most powerful in the world, and will allow the nation\u0026rsquo;s academic researchers to make important discoveries in all fields of science, from astrophysics to zoology.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team from Georgia Tech is led by Srinivas Aluru, co-executive director of the Institute for Data Engineering and Science, and also includes Rich Vuduc, Edmond Chow, and David Bader. All are professors in the School of Computational Science and Engineering, where Bader serves as chair, and in the College of Computing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Georgia Tech is excited to be part of the NSF leadership-class computing facility project, which will produce the design and operation of the leading academic supercomputer of our times, and guide its path to reaching exascale capabilities,\u0026rdquo; Aluru said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHis team will be working on the evaluation of possible architectures and technical design of the Phase Two system, and develop exascale-ready code for application areas including computational biology and computational chemistry. Georgia Tech faculty will also serve on the technical advisory committee for the project.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Many of the frontiers of research today can only be advanced by computing, and Frontera will be an important tool to solve grand challenges that will improve our nation\u0026rsquo;s health, well-being, competitiveness, and security,\u0026rdquo; said Dan Stanzione, TACC executive director.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf completed today, Frontera would be the fifth most powerful system in the world, the third fastest in the U.S., and the largest at any university. For comparison, Frontera will be roughly twice as powerful as Stampede2 (currently the fastest university supercomputer), and 70 times larger than Ranger, which operated until 2013.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo match what Frontera will compute in just one second, a person would have to perform one calculation every second for roughly one billion years.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThrough its involvement, Georgia Tech researchers will influence the design, operation, and science conducted on the leading NSF supercomputer. Tech researchers will also receive substantial access during the early operations phase.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnticipated early projects on Frontera include analyses of particle collisions from the Large Hadron Collider, global climate modeling, improved hurricane forecasting, and multi-messenger astronomy.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe primary computing system will be provided by Dell EMC and powered by Intel processors. Data Direct Networks will contribute the primary storage system and Mellanox will provide the high-performance interconnect for the machine. GRC (Green Revolution Cooling), NVIDIA, and the cloud providers Amazon, Google, and Microsoft will also have roles in the project.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFaculty at the Institute for Computational Engineering and Sciences at UT Austin will lead the world-class science applications and technology team, with partners from the California Institute of Technology, Cornell University, Princeton University, Stanford University, the University of Chicago, the University of Utah, and the University of California, Davis.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EExperienced technologists and operations partners from the sites above, as well as The Ohio State University, the Georgia Institute of Technology, and Texas A\u0026amp;M University will ensure the system runs effectively in all areas, including security, user engagement, and workforce development.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFrontera will enter production in the summer of 2019 and will operate for five years. In addition to serving as a resource for the nation\u0026rsquo;s scientists and engineers, the award will support efforts to test and demonstrate the feasibility of an even larger future leadership-class system \u0026ndash; ten times faster than Frontera \u0026ndash; to potentially be deployed as Phase 2 of the project.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Keeping the U.S. at the forefront of advanced computing capabilities and providing researchers across the country access to those resources are key elements in maintaining our status as a global leader in research and education,\u0026rdquo; said NSF Director France C\u0026oacute;rdova.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This award is an investment in the entire U.S. research ecosystem that will enable leap-ahead discoveries.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A team from Georgia Tech will be a part of the new supercomputing system known as Frontera that will be located at the Texas Advanced Computing Center (TACC) and funded by a $60 million award from the National Science Foundation. "}],"uid":"27343","created_gmt":"2018-08-29 13:51:26","changed_gmt":"2019-11-04 21:45:26","author":"Jennifer Salazar","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2018-08-29T00:00:00-04:00","iso_date":"2018-08-29T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"610539":{"id":"610539","type":"image","title":"Srinivas Aluru","body":null,"created":"1535551316","gmt_created":"2018-08-29 14:01:56","changed":"1535551316","gmt_changed":"2018-08-29 14:01:56","alt":"","file":{"fid":"232472","name":"srinivas.jpg","image_path":"\/sites\/default\/files\/images\/srinivas.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/srinivas.jpg","mime":"image\/jpeg","size":152241,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/srinivas.jpg?itok=EFthdvt7"}}},"media_ids":["610539"],"groups":[{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"624060","name":"Center for High Performance Computing (CHiPC)"}],"categories":[],"keywords":[{"id":"702","name":"hpc"},{"id":"178878","name":"Frontera"},{"id":"167325","name":"supercomputer"},{"id":"172914","name":"Exascale Computing"},{"id":"4305","name":"cse"},{"id":"181217","name":"cse-hpc"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDr. JF Salazar\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ejsalazar@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["jsalazar@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"628061":{"#nid":"628061","#data":{"type":"news","title":"HPC Framework Blocks May Instigate a New Era of Accessibility for Software Engineers","body":[{"value":"\u003Cp\u003EResearchers are beginning a three-year cross-institute project that aims to lower the barrier to entry for software engineers developing new high-performance applications on large scale parallel systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe new\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=1919021\u0022\u003E$1.26 million National Science Foundation (NSF) project\u003C\/a\u003E\u0026nbsp;seeks to develop compiler tools and runtime systems to create a framework, named\u0026nbsp;\u003Cem\u003EParallel Algorithms by Blocks (PAbB\u003C\/em\u003E), built specifically to facilitate simpler programming of scalable parallel systems in high-performance computing (HPC) and exascale machines.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Current supercomputers and exascale machines are getting harder to program because of how technology is evolving,\u0026rdquo; said School of Computational Science and Engineering (CSE) Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/umit-v-catalyurek\u0022\u003E\u003Cstrong\u003E\u0026Uuml;mit \u0026Ccedil;ataly\u0026uuml;rek\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026Ccedil;ataly\u0026uuml;rek is Georgia Tech\u0026rsquo;s principal investigator (PI) for the project and joins the project\u0026rsquo;s lead PI, University of Utah Professor\u0026nbsp;\u003Cstrong\u003EPonnuswamy Sadayappan,\u0026nbsp;\u003C\/strong\u003Eand co-PIs,\u0026nbsp;\u003Cstrong\u003EAnanth Kalyanaraman\u003C\/strong\u003E,\u0026nbsp;\u003Cstrong\u003EAravind Sukumaran\u0026nbsp;\u003C\/strong\u003E\u003Cstrong\u003ERajam\u003C\/strong\u003E, and\u0026nbsp;\u003Cstrong\u003ESriram\u0026nbsp;\u003C\/strong\u003E\u003Cstrong\u003EKrishnamoorthy\u0026nbsp;\u003C\/strong\u003Eof Washington State University. The team of researchers plan to combine user insights, new compiler optimizations, and advanced runtime support to create the PAbB framework which will ultimately create building blocks of parallel code for heterogeneous environments to use across a number of applications from computational science and data science.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFrom caches to networks, architectures are written so that a system inherently wants to transfer multiple items at once. And, according to \u0026Ccedil;ataly\u0026uuml;rek, when looking at algorithms and problems, and thinking of them in terms of blocks \u0026ndash; or packages of data \u0026ndash; they are able to take advantage of hardware transfer and have better scheduling of communication and computation in these heterogeneous systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We cannot make the single core in a computer much faster anymore, which is why sequential programs are not gettingfaster, and why we have to do everything in parallel computing,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;If you look at today\u0026rsquo;s supercomputers you will see that all of the architectures are becoming more and more heterogenous. So, writing parallel code by itself without heterogeneity is difficult, but, when combined, it becomes a barrier for many engineers.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHeterogenous systems are made up of hardware and software components that necessitate the use of different languages, run on different operations, and usually incorporate specialized processing capabilities to handle particular tasks.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearchers, particularly those in the HPC and exascale spaces, need a way to ensure they write their data and computation to work in these heterogenous environments, on multiple nodes, and are still able to communicate effectively with the rest of a program while producing the results fast. PAbB aims to become the first framework that achieves both high productivity and high performance in such environments by creating a framework that utilizes block programming.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Professor \u00dcmit \u00c7ataly\u00fcrek receives NSF grant to develop a framework that facilitates simpler programming of scalable parallel systems in high-performance computing (HPC) and exascale machines. "}],"uid":"34540","created_gmt":"2019-10-24 19:36:41","changed_gmt":"2019-10-27 23:38:41","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-10-24T00:00:00-04:00","iso_date":"2019-10-24T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"628064":{"id":"628064","type":"image","title":"HPC Resource - data stack","body":null,"created":"1571946376","gmt_created":"2019-10-24 19:46:16","changed":"1571946376","gmt_changed":"2019-10-24 19:46:16","alt":"The image of a computer in a data stack with yellow and orange tabs","file":{"fid":"239161","name":"Data Center_MG_9964.jpg","image_path":"\/sites\/default\/files\/images\/Data%20Center_MG_9964.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Data%20Center_MG_9964.jpg","mime":"image\/jpeg","size":369349,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Data%20Center_MG_9964.jpg?itok=dHQYGpbl"}}},"media_ids":["628064"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[{"id":"702","name":"hpc"},{"id":"181217","name":"cse-hpc"},{"id":"3427","name":"High performance computing"},{"id":"4305","name":"cse"},{"id":"170627","name":"Umit Catalyurek"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"627489":{"#nid":"627489","#data":{"type":"news","title":"In Memoriam: Scholarship Honors Alumnus Sanat Moningi","body":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EWhen \u003Cstrong\u003ESanat Moningi\u003C\/strong\u003E died in 2018 at the age of 24, his friends and family were not the only ones who felt like the world lost a unique spirit.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEveryone he worked with, helped, or even spoke to knew that there was never going to be another Sanat.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe was one of those people that you couldn\u0026rsquo;t describe with a word or two. His qualities were unlike most. His actions, thoughts, and words made an impact on this world that many cannot do.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe had three separate memorial services: one held by his family in West Virginia, where he grew up, one at Georgia Tech, where he went to college, and one in San Francisco, where he moved to work afterward. There were many different gatherings and events to honor Sanat.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;That paints a true picture of how many people he impacted,\u0026rdquo; said \u003Cstrong\u003ERyan Merklen\u003C\/strong\u003E, who knew Sanat from their time together in Chi Phi. \u0026ldquo;He always asked what he could do to help those around him.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn fact, everyone who knew Sanat says the same things about him. The words brilliant, caring, trustworthy, reliable, hilarious, and beautiful were used to describe Sanat. One crucial thing that separated Sanat from others was that he always, from his earliest childhood, knew exactly what he wanted to do in the world: help others.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor the caring person he was, his family is honoring his spirit by endowing the Sanat Moningi Memorial Scholarship, which is being offered for the first time this fall. The scholarship, worth $4,000, will support a student who shares Sanat\u0026rsquo;s commitment to hard work and to using serving their community.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_6WPCIhCtYndWNyR\u0022 target=\u0022_blank\u0022\u003E[APPLY: Sanat Moningi Memorial Scholarship Application Deadline is Nov. 3]\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We think Sanat would be proud of us for doing this for Georgia Tech students,\u0026rdquo; said his sister, \u003Cstrong\u003EShalini Moningi\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This scholarship represents who he was.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Ch4\u003E\u003Cstrong\u003EGrowing Up Generous\u003C\/strong\u003E\u003C\/h4\u003E\r\n\r\n\u003Cp\u003ESanat\u0026rsquo;s burning curiosity and selfless qualities were already seen at a young age. He offered to build a helper robot for his mother, Dr. Prasuna Jami, so that she could see more patients and spend more time with her children.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Mom, I don\u0026rsquo;t want to work like you, all day and all night,\u0026rdquo; she remembers him saying. \u0026ldquo;I want to change the world.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEven at school, Sanat was noticed for his selflessness. In 2011, he attended the American Legion\u0026rsquo;s Mountaineer Boys\u0026rsquo; State program and won the Frank Taylor, Jr. Award for his enthusiastic interest in the law and for displaying high moral character with honor, respect, and integrity.\u003C\/p\u003E\r\n\r\n\u003Cblockquote\u003E\r\n\u003Cp\u003E\u0026quot;San Francisco was blessed to have Sanat for the time we did. He contributed hundreds of hours of volunteer time applying his skills to help others. His contributions will surely impact others for years to come.\u0026quot; - \u003Cstrong\u003EJoy Bonaguro, City of San Francisco chief data officer\u003C\/strong\u003E\u003C\/p\u003E\r\n\u003C\/blockquote\u003E\r\n\r\n\u003Cp\u003EWhen his sister was having a tough time adjusting to college, Sanat decided to cheer her up.\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003E\u0026ldquo;He planned a complete surprise birthday party with our family and friends,\u0026rdquo; Shalini Moningi said. \u0026ldquo;I still don\u0026rsquo;t know how \u0026mdash; I mean, he was in eighth grade, he didn\u0026rsquo;t even have a car.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It really meant a lot to me,\u0026rdquo; she said. \u0026ldquo;He was a little boy genius, but he was also a lot more. He really cared for people.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESanat always made sure to make everyone as happy as they could ever be.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I remember when I was about 6 or 7, at a family gathering everyone was having fun and all the kids were older than me so they left me out,\u0026rdquo; his cousin Meenal explained. \u0026ldquo;As I was sitting in the corner bored, Sanat comes over to me. He starts making jokes and playing with me. Though he was 6 years older than me, he made sure I was having the best time I could have\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Ch4\u003E\u003Cstrong\u003EThe Tech Years\u003C\/strong\u003E\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EIt was obvious that Sanat blossomed at Georgia Tech, both socially and academically. He was the top student in the class and was named the Outstanding Freshman in Computing after his first year. In 2014, he won the ConocoPhillips Innovation Challenge before graduating with honors in 2015. These awards that Sanat got throughout his life are just symbols of the great kid Sanat was.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAfter his first semester, he joined Chi Phi. His parents were suspicious of fraternities at first, but Sanat\u0026rsquo;s enthusiasm and success changed their minds.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I\u0026rsquo;m very impressed with how much support his friends gave him,\u0026rdquo; Dr. Jami said. In return, Sanat gave a lot of his time and talents as the fraternity\u0026rsquo;s philanthropy chair. In his senior year, he won a national award from Chi Phi for his leadership and altruism.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;He set a new standard,\u0026rdquo; said Merklen. \u0026ldquo;He connected us to the Boys and Girls Club, to Habitat for Humanity. He encouraged us to always try to place ourselves in our community.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESanat\u0026rsquo;s drive to help also took him into less conventional channels. He spent time tutoring a local high school student in the basics of computing. One Thanksgiving, he and a friend were grabbing dinner when they ran into a homeless man. They brought him back to their dorm and shared their food. This stands for the caring man Sanat was and the love he had towards others.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;He was very empathetically aware,\u0026rdquo; Merklen said. \u0026ldquo;It bothered him when he saw someone he couldn\u0026rsquo;t help.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Ch4\u003E\u003Cstrong\u003EThe Real World\u003C\/strong\u003E\u003C\/h4\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EAfter graduation, Sanat Moningi moved to San Francisco for a job with Salesforce, where he was quickly promoted to the position of product owner. He moved in with another Salesforce employee, Ryan Flood, and their shared house became the center of a vibrant social scene.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We had a lot of barbecues,\u0026rdquo; Flood said. \u0026ldquo;Sanat would invite anyone and everyone.\u0026rdquo; Once, a friend showed up at a barbecue in a suit, having come straight from a work function. The next thing Flood saw was that Sanat had changed into a suit to make his friend feel welcome.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe found time to do good as a member of \u003Ca href=\u0022https:\/\/codeforsanfrancisco.org\u0022 target=\u0022_blank\u0022\u003ECode for San Francisco\u003C\/a\u003E, a nonprofit that finds ways to use technology to improve life in the city. Sanat co-founded the nonprofit\u0026rsquo;s Data Science Working Group, which worked on issues including energy efficiency and housing approvals.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;A couple of years into that, we decided we wanted to do something in the government and politics space full-time,\u0026rdquo; said Catherine Zhang, a fellow working group member. The two went on to found \u003Ca href=\u0022https:\/\/voterly.com\u0022 target=\u0022_blank\u0022\u003EVoterly\u003C\/a\u003E, a nonprofit that provided data services to local political campaigns.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThey were a couple of months into their new venture when Sanat died accidentally and unexpectedly on April 21, 2018. More than a year later, his parents still hear from people who were touched by Sanat\u0026rsquo;s kindness.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;He was so intelligent, so successful,\u0026rdquo; said his sister Shalini. \u0026ldquo;But the best word to describe him would be caring.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESanat used his data science skills since he was in college and developed his knowledge and talent to help the homeless all throughout the nation. He created data science working groups in San Francisco to better care for everyone, as well as projects for the environment and global state. He did all of this as part of his non-profit work.\u003C\/p\u003E\r\n\r\n\u003Ch4\u003E\u003Cstrong\u003EMoving Forward\u003C\/strong\u003E\u003C\/h4\u003E\r\n\r\n\u003Cp\u003ESanat loved Georgia Tech, and Sanat loved to help other people. He truly made a change and to honor his work, dedication, and love, his family, endowing a scholarship in his memory just seemed right.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_6WPCIhCtYndWNyR\u0022 target=\u0022_blank\u0022\u003EThe Sanat Moningi Memorial Scholarship\u003C\/a\u003E is for students with at least a 3.0 GPA and a drive to use technology to improve society and help others.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Sanat wanted to use his intelligence and technical skills to do good for society,\u0026rdquo; his mother said. \u0026ldquo;We are looking for someone with a passion to create who also wants to serve society in a creative way.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJami said that applicants should know a few other things about Sanat.\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003E\u0026ldquo;He was selfless, and he never cared about publicity,\u0026rdquo; she said. \u0026ldquo;He was goofy sometimes, and other times he was hilarious. He saw problems and solved them on a large scale. He wanted to make a lasting impact in this world and that is just what he did.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;He wanted to use his intelligence to do some good.\u0026rdquo;\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"College of Computing announces the Sanat Moningi Memorial Scholarship. The scholarship, worth\u00a0$4,000, will support a student who shares Sanat\u2019s commitment to hard work and community."}],"uid":"34540","created_gmt":"2019-10-11 14:20:29","changed_gmt":"2019-10-22 00:52:15","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-10-17T00:00:00-04:00","iso_date":"2019-10-17T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"627490":{"id":"627490","type":"image","title":"Sanat Moningi Headshot","body":null,"created":"1570803823","gmt_created":"2019-10-11 14:23:43","changed":"1570803823","gmt_changed":"2019-10-11 14:23:43","alt":"Sanat Moningi stands outside in a blue blazer with a tie smiling.","file":{"fid":"238914","name":"SanatMoningi.jpg","image_path":"\/sites\/default\/files\/images\/SanatMoningi.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/SanatMoningi.jpg","mime":"image\/jpeg","size":215728,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/SanatMoningi.jpg?itok=udHovrZO"}}},"media_ids":["627490"],"related_links":[{"url":"https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_6WPCIhCtYndWNyR","title":"Sanat Monongi Scholarship Application"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"182639","name":"sanat"},{"id":"182640","name":"memorial fund"},{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAnn Claycombe\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Director\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["ann.claycombe@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"627861":{"#nid":"627861","#data":{"type":"external_news","title":"Georgia Tech Researchers Share 13 Publications at Premier Visualization Conference","body":[{"value":"\u003Cp\u003EA host of \u003Ca href=\u0022http:\/\/gatech.edu\u0022\u003EGeorgia Tech\u003C\/a\u003E faculty and students are attending the annual \u003Ca href=\u0022http:\/\/ieeevis.org\/year\/2019\/welcome\u0022\u003EIEEE VIS\u003C\/a\u003E conference in Vancouver, B.C., Canada this week, presenting a total of 13 publication. IEEE VIS is the premier visualization event, spanning three co-located conferences: Visual Analytics Science and Technology (VAST), Information Visualization (InfoVis), and Scientific Visualization (SciVis). Explore Georgia Tech\u0026#39;s research and hear an episode of the Interaction Hour podcast, featuring \u003Ca href=\u0022http:\/\/ic.gatech.edu\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E Assistant Professor \u003Cstrong\u003EAlex Endert\u003C\/strong\u003E, at the link.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"33939","created_gmt":"2019-10-21 20:44:41","changed_gmt":"2019-10-21 20:44:41","author":"David Mitchell","boilerplate_text":"","field_publication":"","publication":"Employer Event","field_article_url":"","publication_url":"https:\/\/mailchi.mp\/28cd6a1b3249\/ieeevis2019","dateline":{"date":"2019-10-21T00:00:00-04:00","iso_date":"2019-10-21T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"627860":{"id":"627860","type":"image","title":"IEEE VIS 2019","body":null,"created":"1571690510","gmt_created":"2019-10-21 20:41:50","changed":"1571690510","gmt_changed":"2019-10-21 20:41:50","alt":"IEEE VIS 2019","file":{"fid":"239085","name":"Screen Shot 2019-10-19 at 4.13.24 PM.png","image_path":"\/sites\/default\/files\/images\/Screen%20Shot%202019-10-19%20at%204.13.24%20PM.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Screen%20Shot%202019-10-19%20at%204.13.24%20PM.png","mime":"image\/png","size":399270,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Screen%20Shot%202019-10-19%20at%204.13.24%20PM.png?itok=xnIFjNJr"}}},"media_ids":["627860"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"182716","name":"cc-research; ic-hcc; ic-infovis; ic-ai-ml"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"627708":{"#nid":"627708","#data":{"type":"news","title":"New Tricks for an Old Technique: Asynchronous Methods for Exascale Computing","body":[{"value":"\u003Cp\u003EIn the realm of high-performance computing (HPC), also known as supercomputing, the idea of \u0026ldquo;better, faster, stronger\u0026rdquo; is only as good as the number of tasks a computer can efficiently run at once or complete before moving on to the next step.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/dblp.org\/pers\/hd\/w\/Wolfson=Pou:Jordi\u0022\u003EJordi Wolfson-Pou\u003C\/a\u003E\u003C\/strong\u003E, a Ph.D. student in the School of Computational Science and Engineering (CSE), is an HPC researcher who has spent the past few months traveling the globe, presenting new insights on an old solution that aims to tackle synchronization bottlenecks in supercomputers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese new insights highlight the efficacy of using\u0026nbsp;asynchronous multigrid iterative methods for solving large linear systems on exascale computers. The researchers who discovered these findings believe this approach can quicken the computing processes used in a variety of fields, such as physics and engineering.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Solving equations in physics and engineering often requires highly accurate solutions, which means very large problems need to be solved.\u0026nbsp;\u0026nbsp;This is where supercomputers come in. The next generation of supercomputers will be capable of doing calculations at the exascale and will certainly be fast, but synchronization will limit their speed,\u0026rdquo; said Wolfson-Pou.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIterative methods are old computing techniques that start with an initial guess and generate a sequence of improved approximations to the true solution.\u0026nbsp;These methods have achieved remarkable results and showed measurable progress for completing calculations simultaneously. However, the nature of these methods involves one or more synchronization points within each iteration.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Supercomputers are composed of many parallel processes doing calculations concurrently. If many processes have to synchronize, some may be idle while waiting for others to finish,\u0026rdquo; said Wolfson-Pou.\u0026nbsp;\u0026nbsp;\u0026ldquo;For example, this could be due to some processes having to do more calculations than others, or the underlying hardware that a process uses is slower than the hardware another uses. In asynchronous methods, the faster processes simply move on to the next step using the most available information.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFrom Brazil to China, Wolfson-Pou presented the new observations he and CSE Professor\u0026nbsp;\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~echow\/\u0022\u003EEdmond Chow\u003C\/a\u003E\u0026nbsp;\u003C\/strong\u003Ediscovered while examining multigrid methods in an effort to understand how they can be executed asynchronously.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETheir findings are detailed in the paper,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~echow\/pubs\/jwp-chow-ipdps19.pdf\u0022\u003E\u003Cem\u003EAsynchronous Multigrid Methods,\u003C\/em\u003E\u0026nbsp;\u003C\/a\u003Ewhich\u0026nbsp;was presented at the following:\u003C\/p\u003E\r\n\r\n\u003Col\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/www.ipdps.org\/ipdps2019\/2019-call-for-papers.html\u0022\u003EInternational Parallel \u0026amp; Distributed Computing Symposium\u003C\/a\u003E\u0026nbsp;(IPDPS), May 20-24, Rio de Janeiro, Brazil\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/iciam2019.org\/\u0022\u003EInternational Conference on Industrial and Applied Mathematics\u003C\/a\u003E\u0026nbsp;(ICIAM), July 15-19, Valencia, Spain\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/www.multigrid.org\/img2019\/\u0022\u003EInternational Multigrid Conference\u003C\/a\u003E\u0026nbsp;(IMG), August 11-16, Kunming, China\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/grandmaster.colorado.edu\/summit\/schedule.php\u0022\u003EAMG Summit\u003C\/a\u003E, September 30 \u0026ndash; October 3, Santa Fe, New Mexico\u003C\/li\u003E\r\n\u003C\/ol\u003E\r\n\r\n\u003Cp\u003EThe paper\u0026rsquo;s experimental results show that asynchronous multigrid can be faster than classical multigrid in terms of reducing the time it takes to converge to the solution.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE researchers present a new perspective on applying asynchronous methods to combat bottlenecks in exascale computing."}],"uid":"34540","created_gmt":"2019-10-17 13:19:20","changed_gmt":"2019-10-17 13:27:25","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-10-17T00:00:00-04:00","iso_date":"2019-10-17T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"627707":{"id":"627707","type":"image","title":"Asynchronous Methods for HPC ","body":null,"created":"1571318114","gmt_created":"2019-10-17 13:15:14","changed":"1571318114","gmt_changed":"2019-10-17 13:15:14","alt":"Global-res and local-res partitionings for the Multadd example presented in Section IV for each step of the computation of the corrections e0 and e1. Arrows denote moving to the next step of the computation. Sync() denotes a synchronization point, where the list of threads passed to Sync() denotes the threads that synchronize. Blue Sync() denotes a synchronization for asynchronous multigrid, and red Sync() denotes a synchronization point for synchronous multigrid. ","file":{"fid":"239017","name":"Screen Shot 2019-10-17 at 9.13.14 AM.png","image_path":"\/sites\/default\/files\/images\/Screen%20Shot%202019-10-17%20at%209.13.14%20AM.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Screen%20Shot%202019-10-17%20at%209.13.14%20AM.png","mime":"image\/png","size":306882,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Screen%20Shot%202019-10-17%20at%209.13.14%20AM.png?itok=yjQjYlN7"}}},"media_ids":["627707"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"},{"id":"135","name":"Research"}],"keywords":[{"id":"702","name":"hpc"},{"id":"181217","name":"cse-hpc"},{"id":"3427","name":"High performance computing"},{"id":"172914","name":"Exascale Computing"},{"id":"182689","name":"Jordi Wolfson-pou"},{"id":"182690","name":"Edmond Chau"},{"id":"4305","name":"cse"},{"id":"11559","name":"CSE computational science engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"627512":{"#nid":"627512","#data":{"type":"news","title":"CRNCH Dominates at ARM Research Summit","body":[{"value":"\u003Cp\u003EThe \u003Ca href=\u0022http:\/\/www.crnch.gatech.edu\/\u0022\u003ECenter for Research into Novel Computing Hierarchies (CRNCH)\u003C\/a\u003E had a strong showing at the \u003Ca href=\u0022https:\/\/www.arm.com\/company\/events\/research-summit\u0022\u003E2019 ARM Research Summit\u003C\/a\u003E. Faculty and students gave six talks and spoke on two panels at the September conference.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECentering on computing trends and disruptive technology, the summit enabled researchers, academics, and industry partners to meet and discuss their work, latest research advances, and collaboration opportunities. CRNCH researchers showcased work in architecture, tools, benchmarking, and applications for an audience working on the edge of low-power and high-performance chip designs.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;We were thrilled to see that Georgia Tech researchers were so well represented in panels on graph analytics and post-Moore and high-performance computing, as well in demo sessions and peer-reviewed talks,\u0026rdquo; said School of Computer Science Senior Research Scientist \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/jeffrey-young\u0022\u003E\u003Cstrong\u003EJeffrey Young\u003C\/strong\u003E\u003C\/a\u003E. \u0026ldquo;CRNCH has provided a great collaborative opportunity for Georgia Tech students and faculty to influence and create the next high-performance systems with industry collaborators like Arm.\u0026quot;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECRNCH faculty participated in all areas of the summit:\u003C\/p\u003E\r\n\r\n\u003Ch2\u003ETalks:\u003C\/h2\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cem\u003EEnabling Continuous Learning through Neural Network Evolution in Hardware, \u003C\/em\u003ESchool of Electrical and Computer Engineering Assistant Professor \u003Ca href=\u0022https:\/\/tusharkrishna.ece.gatech.edu\/\u0022\u003E\u003Cstrong\u003ETushar Krishna\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cem\u003EStrider: Architectures for Scalable Memory Centric Reduction of Sparse Data Streams\u003C\/em\u003E, School of Computer Science (SCS) Ph.D. student \u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/sriseshans\/\u0022\u003E\u003Cstrong\u003ESriseshan Srikanth\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cem\u003EUsing the Spatter Benchmark Suite to Evaluate SVE Support for Gather\/Scatter\u003C\/em\u003E, School of Computational Science and Engineering (CSE) Ph.D. student \u003Ca href=\u0022https:\/\/cse.gatech.edu\/people\/patrick-lavin\u0022\u003E\u003Cstrong\u003EPatrick Lavin\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cem\u003EScaling Full-system Simulation of ARM SVE Processors Using Compilers and Runtime Tool APIs\u003C\/em\u003E, ORNL Matthew Baker and Jeffrey Young\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cem\u003EUsing ARMIE for HPC Codesign and Benchmarking\u003C\/em\u003E, Jeffrey Young\u0026nbsp;\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cem\u003ESpecializing Architectures for Data Analytics\u003C\/em\u003E,\u0026nbsp;TCL\u0026rsquo;s \u003Cstrong\u003EDavid Donofrio\u003C\/strong\u003E and CSE Senior Research Scientist \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/jason-riedy\u0022\u003E\u003Cstrong\u003EJason Riedy\u003C\/strong\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch2\u003EPanels:\u003C\/h2\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003ERethinking Boundaries through Hardware-Software Co-design for Productive Post-Moore Computing\u003C\/em\u003E, CRNCH Co-Director \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/thomas-conte\u0022\u003E\u003Cstrong\u003ETom Conte\u003C\/strong\u003E\u003C\/a\u003E, University of Virginia\u0026rsquo;s \u003Cstrong\u003ESamira Khan\u003C\/strong\u003E, RedHat\u0026rsquo;s \u003Cstrong\u003EJon Masters\u003C\/strong\u003E, and the University of Texas at Austin\u0026rsquo;s \u003Cstrong\u003EYale Patt\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EBirds of a Feather (BoF) on\u0026nbsp;High Performance Graph Analytics: Algorithms, Programming, Architecture, \u003C\/em\u003ETactical Computing Labs\u0026rsquo; \u003Cstrong\u003EDavid Donofrio\u003C\/strong\u003E, PNNL\u0026rsquo;s \u003Cstrong\u003EMarco Minutoli\u003C\/strong\u003E, Jason Riedy\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The Center for Research into Novel Computing Hierarchies (CRNCH) had a strong showing at the 2019 ARM Research Summit."}],"uid":"34541","created_gmt":"2019-10-11 19:02:12","changed_gmt":"2019-10-11 19:04:40","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-10-11T00:00:00-04:00","iso_date":"2019-10-11T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"627513":{"id":"627513","type":"image","title":"Tom at ARM","body":null,"created":"1570820663","gmt_created":"2019-10-11 19:04:23","changed":"1570820663","gmt_changed":"2019-10-11 19:04:23","alt":"Tom Conte at ARM Summit","file":{"fid":"238921","name":"tom_arm_summit19.jpg","image_path":"\/sites\/default\/files\/images\/tom_arm_summit19.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/tom_arm_summit19.jpg","mime":"image\/jpeg","size":2285312,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/tom_arm_summit19.jpg?itok=0p3WI165"}}},"media_ids":["627513"],"groups":[{"id":"576491","name":"CRNCH"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["tess.malone@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"626750":{"#nid":"626750","#data":{"type":"news","title":"Georgia Tech Researchers Set to Receive Two Innovation Awards at HPEC\u201919","body":[{"value":"\u003Cp\u003EDefined by the practice of aggregating power in an effort to achieve greater performance, high-performance computing (HPC) is increasingly becoming more diverse. Now, this market,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.grandviewresearch.com\/press-release\/global-high-performance-computing-hpc-market\u0022\u003Ewhich is expected to reach $59.65 billion by 2025\u003C\/a\u003E, is setting its sights on new applications including the use of graphics processing units (GPUs) for deep learning, cloud computing, and more.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese applications will ultimately speed processing rates and cut computational costs for embedded computing systems used in transportation, healthcare, manufacturing, retail, and a host of other industries.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBut, there are specific requirements and unique challenges \u0026ndash; known and unknown \u0026ndash; to deploying HPC applications outside of a data center. To address these challenges and advance this growing research area, School of Computational Science and Engineering (CSE) HPC researchers are bringing their expertise to this week\u0026rsquo;s 2019\u0026nbsp;\u003Ca href=\u0022http:\/\/www.ieee-hpec.org\/\u0022\u003EIEEE High Performance Extreme Computing Conference\u003C\/a\u003E\u0026nbsp;(HPEC).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHPEC is one of the leading conferences of its kind. It brings HPC and embedded systems researchers together to identify obstacles and develop effective solutions for delivering HPC capabilities to edge computing applications, augment big data with GPUs, and more.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearchers from CSE are set to present several papers at this year\u0026rsquo;s HPEC, which runs from\u0026nbsp;Sept. 24 to 26 in Waltham, Massachusetts. Of these, two papers were submitted to the HPEC 2019\u0026nbsp;\u003Ca href=\u0022https:\/\/graphchallenge.mit.edu\/\u0022\u003EGraphChallenge\u003C\/a\u003E\u0026nbsp;and are set to receive Innovation Awards.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The GraphChallenge creates an annual benchmark that drives community development of new solutions for analyzing graphs and sparse data from social media, sensor feeds, and scientific data to discover relationships between events,\u0026rdquo; said CSE Ph.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~ayasar3\/\u0022\u003E\u003Cstrong\u003EAbdurrahman Yasar\u003C\/strong\u003E,\u003C\/a\u003E\u0026nbsp;an investigator on two of the four Innovation Award winning papers, and a 2018 GraphChallenge champion.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne of the two CSE winning papers,\u0026nbsp;\u003Cem\u003ELinear Algebra-Based Triangle Counting via Fine-Grained Tasking on Heterogeneous Environments,\u0026nbsp;\u003C\/em\u003Edescribes an update to the linear-algebraic formulation of the classic triangle-counting problem.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Triangle counting is a representative graph analysis algorithm with several applications and is also one of the three benchmarks used in the IEEE HPEC GraphChallenge,\u0026rdquo; said Yasar.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In this work we propose a novel multi-core multi-GPU triangle counting algorithm. Our new approach does not require architecture specific changes on code which is crucial for portability on heterogenous environments and the way we distribute the tasks between GPUs and CPUs is highly appreciated.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile triangle counting remains an important benchmark in the GraphChallenge, several other research areas are also prevalent in this year\u0026rsquo;s CSE HPEC proceedings.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESee the list below to view all Georgia Tech papers being presented at this year\u0026rsquo;s HPEC conference:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cem\u003EConcurrent Katz Centrality\u0026nbsp;for Streaming Graphs\u0026nbsp;\u003C\/em\u003E-\u0026nbsp;\u003Cstrong\u003EChunxing Yin, Jason Riedy\u003C\/strong\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cem\u003ESkip the Intersection: Quickly Counting Common Neighbors on Shared-Memory Systems\u0026nbsp;\u003C\/em\u003E\u0026ndash;\u0026nbsp;\u003Cstrong\u003EXiaojing An, Kasimir Gabert, James Fox, Oded Green,\u0026nbsp;\u003C\/strong\u003EDavid A. Bader\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cem\u003EImproving Scheduling for Irregular Applications with Logarithmic Radix Binning\u0026nbsp;\u003C\/em\u003E\u0026ndash;\u0026nbsp;\u003Cstrong\u003EJames Fox, Alok Tripathy, Oded Green\u003C\/strong\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/graphchallenge.mit.edu\/champions\u0022\u003E\u003Cstrong\u003EGraph Challenge Champions\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cem\u003ELinear Algebra-Based Triangle Counting via Fine-Grained Tasking on Heterogeneous Environments\u0026nbsp;\u003C\/em\u003E\u003Cstrong\u003E- Abdurrahman Yasar,\u0026nbsp;\u003C\/strong\u003ESivasankaran Rajamanickam, Jonathan Berry, Michael Wolf,\u0026nbsp;\u003Cstrong\u003EJeff Young, \u0026Uuml;mit V. \u0026Ccedil;ataly\u0026uuml;rek\u003C\/strong\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cem\u003EScalable Triangle Counting on Distributed-Memory Systems\u0026nbsp;\u003C\/em\u003E\u003Cstrong\u003E\u0026ndash;\u0026nbsp;\u003C\/strong\u003ESeher Acer,\u0026nbsp;\u003Cstrong\u003EAbdurrahman Yasar,\u0026nbsp;\u003C\/strong\u003ESivasankaran Rajamanickam, Michael Wolf,\u0026nbsp;\u003Cstrong\u003E\u0026Uuml;mit V. \u0026Ccedil;ataly\u0026uuml;rek\u003C\/strong\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/news\/612011\/school-cse-speeds-graph-applications-and-presents-graphchallenge-winning-paper-hpec-2018\u0022\u003E[Related News: School of CSE Speeds up Graph Applications and Presents GraphChallenge Winning Paper at HPEC 2018]\u003C\/a\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE leads this year\u0027s presence at HPEC 2019 and Ph.D student Abdurrahman Yasar is set to receive two innovation awards for GraphChallenge submissions."}],"uid":"34540","created_gmt":"2019-09-25 18:55:23","changed_gmt":"2019-09-25 18:55:23","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-09-25T00:00:00-04:00","iso_date":"2019-09-25T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"626667":{"id":"626667","type":"image","title":"HPEC 2019 Logo","body":null,"created":"1569340934","gmt_created":"2019-09-24 16:02:14","changed":"1569340934","gmt_changed":"2019-09-24 16:02:14","alt":"IEEE HPEC logo with a computer chip illustration on a peach background","file":{"fid":"238599","name":"hpec.jpg","image_path":"\/sites\/default\/files\/images\/hpec.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/hpec.jpg","mime":"image\/jpeg","size":9830,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/hpec.jpg?itok=I_I0Hk_K"}}},"media_ids":["626667"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"181217","name":"cse-hpc"},{"id":"702","name":"hpc"},{"id":"3427","name":"High performance computing"},{"id":"182468","name":"HPEC"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}