{"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":""}}}