{"689941":{"#nid":"689941","#data":{"type":"event","title":"SCS Visitor Seminar- Ilias Diakonikolas","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title: \u003C\/strong\u003EAlgorithmic Foundations of Robust Learning\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker: \u0026nbsp;\u003C\/strong\u003EIlias Diakonikolas, Professor, The University of Wisconsin\u2013Madison\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ERobustness is a basic requirement for trustworthy machine learning, yet achieving it efficiently in high dimensions has long been a fundamental challenge. For decades, the prevailing view was that learning algorithms with strong robustness guarantees necessarily come with prohibitive computational cost, creating a sharp tension between statistical guarantees and algorithmic tractability. This talk describes a research program aimed at overcoming this barrier through an algorithmic theory of robust learning.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;I will describe two interconnected threads within this research program. The first develops a unified framework for efficient robust high-dimensional estimation, including the first polynomial-time algorithms for several fundamental unsupervised learning tasks under adversarial corruption. The second studies supervised learning under noisy labels, with an emphasis on learning predictors with low-dimensional latent representations. I will conclude by discussing future directions, including robustness beyond worst-case corruption and the efficient learning of richer nonlinear representations.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003Elias Diakonikolas is the Lubar Professor in the Department of Computer Sciences at UW Madison. He obtained a Diploma in electrical and computer engineering from the National Technical University of Athens and a Ph.D. in computer science from Columbia University where he was advised by Mihalis Yannakakis. Before moving to UW, he was an Andrew and Erna Viterbi Early Career Chair at USC and a faculty member at the University of Edinburgh. Prior to that, he was the Simons postdoctoral fellow in theoretical computer science at the University of California, Berkeley. His research is on the algorithmic foundations of massive data sets, in particular on designing efficient algorithms for fundamental problems in machine learning. He is a recipient of the ACM Grace Murray Hopper award, a Sloan Fellowship, an NSF CAREER Award, a Romnes Faculty Fellowship, a Google Faculty Research Award, a Marie Curie Fellowship, best paper awards at NeurIPS and COLT, the IBM Research Pat Goldberg Best Paper Award, and an honorable mention in the George Nicholson competition from the INFORMS society. Ilias wrote with Daniel Kane the textbook \u0022Algorithmic High-dimensional Robust Statistics\u0022 published by Cambridge University Press.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title: \u003C\/strong\u003EAlgorithmic Foundations of Robust Learning\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker: \u0026nbsp;\u003C\/strong\u003EIlias Diakonikolas, Professor, The University of Wisconsin\u2013Madison\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"SCS Visitor Seminar-  Ilias Diakonikolas, Professor, The University of Wisconsin\u2013Madison"}],"uid":"36532","created_gmt":"2026-04-21 20:35:11","changed_gmt":"2026-04-21 20:35:11","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-28T11:00:00-04:00","event_time_end":"2026-04-28T12:00:00-04:00","event_time_end_last":"2026-04-28T12:00:00-04:00","gmt_time_start":"2026-04-28 15:00:00","gmt_time_end":"2026-04-28 16:00:00","gmt_time_end_last":"2026-04-28 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"KACB 2447","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194683","name":"Talk"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"689818":{"#nid":"689818","#data":{"type":"event","title":"HotCSE Seminar: ShengYun (Anthony) Peng","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE CS Ph.D. Candidate ShengYun (Anthony) Peng\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, April 29, 2026, at 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 114 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ELunch provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ESafety Alignment of Generative Foundation Models\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E: Modern LLMs are safety-aligned through supervised finetuning (SFT) and reinforcement learning from human feedback (RLHF) to mitigate harmful, undesirable, or disallowed outputs. Despite ongoing progress, LLMs still exhibit critical safety gaps: models can be jailbroken into revealing harmful content, often overrefuse benign queries, and fail to maintain safety under adversarial scenarios. My dissertation research advances the safety alignment of generative foundation models by developing principled tools, architectures, and training methods that strengthen their robustness and reliability at scale. Specifically, this thesis focuses on three complementary thrusts: a) Understanding and shaping the safety landscape of LLMs, b) Internalizing safety in agentic reasoning intelligence, and c) Grounding safety and robustness in multimodal perception.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E: Anthony is a CS Ph.D. candidate at Georgia Tech working with Polo Chau. His thesis research has elevated foundational AI efforts at Nvidia, Meta, IBM, Intel, and ADP via internships and collaborations, and has resulted in several first-author publications and awards at NeurIPS, ACL, ICCV, EMNLP, CVPR, and BMVC. His research has contributed to the AI foundation of multiple funded industry research grants totaling over $1.4M. Learn more about him at \u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fshengyun-peng.github.io%2F\u0026amp;data=05%7C02%7Cbwine3%40gtvault.onmicrosoft.com%7C303dc9415eb14fefcb7808de9c1a020a%7C482198bbae7b4b258b7a6d7f32faa083%7C1%7C0%7C639119832703433041%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C\u0026amp;sdata=f1MXbtHfeOkhqSyFga9YXc%2FrtttSTocImXrE3taAf5I%3D\u0026amp;reserved=0\u0022 id=\u0022OWA726a464e-7dc2-62f2-9b14-343d384d9f8b\u0022 title=\u0022Original URL:\u0026#13;https:\/\/shengyun-peng.github.io\/\u0026#13;\u0026#13;Click to follow link.\u0022\u003Eshengyun-peng.github.io\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EAbout HotCSE\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003EHotCSE is an academic seminar series to bring Ph.D. students in Computational Science and Engineering together to discuss interesting topics. The topics consist of high-performance computing, machine learning, data analysis, simulation, computational sustainability, medical informatics, etc.\u003C\/p\u003E\u003Cp\u003EThe talks have always been enjoyable and have ranged from quite informal to formal conference style talks. Either chalks or slides can be used to help people understand your talk. It is also a great forum to practice conference talks and bounce around new ideas.\u003C\/p\u003E\u003Cp\u003ECurrently the talks are sponsored by the School of Computational Science and Engineering. The goal of CSE is slightly broader than that of these talks - we want to bring more people outside CSE to discuss their related work here.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE CS Ph.D. Candidate ShengYun (Anthony) Peng\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, April 29, 2026, at 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 114 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ESafety Alignment of Generative Foundation Models\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Safety Alignment of Generative Foundation Models"}],"uid":"36319","created_gmt":"2026-04-17 12:22:27","changed_gmt":"2026-04-17 12:30:29","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-29T12:00:00-04:00","event_time_end":"2026-04-29T13:00:00-04:00","event_time_end_last":"2026-04-29T13:00:00-04:00","gmt_time_start":"2026-04-29 16:00:00","gmt_time_end":"2026-04-29 17:00:00","gmt_time_end_last":"2026-04-29 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":["free_food"],"hg_media":{"679985":{"id":"679985","type":"image","title":"Anthony-Peng.jpg","body":null,"created":"1776428985","gmt_created":"2026-04-17 12:29:45","changed":"1776428985","gmt_changed":"2026-04-17 12:29:45","alt":"ShengYun Anthony Peng HotCSE","file":{"fid":"264214","name":"Anthony-Peng.jpg","image_path":"\/sites\/default\/files\/2026\/04\/17\/Anthony-Peng.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/04\/17\/Anthony-Peng.jpg","mime":"image\/jpeg","size":17786,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/04\/17\/Anthony-Peng.jpg?itok=XAafvFai"}}},"media_ids":["679985"],"related_links":[{"url":"https:\/\/hotcse.gatech.edu\/","title":"HotCSE"}],"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":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"194945","name":"Alumni"},{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ECSE Graduate Student Association\u003C\/p\u003E\u003Cp\u003Ecse-gsa@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"689030":{"#nid":"689030","#data":{"type":"event","title":"School of CSE Seminar Series: Cory Hauck","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Cory Hauck, applied mathematician at Oak Ridge National Laboratory\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;April 10, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Qi Tang\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003ERecent Advances in the Design and Simulation of Approximate Multi-Species Collisional Models in Computational Kinetic Theory\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E: Kinetic descriptions of particle systems are characterized by a balance of phase-space advection and particles collisions. Often the operators that model collisions are the most expensive part of a kinetic simulation, and simplified models are desired. In this talk, I will present some of these models and discuss recent extensions to the multispecies setting.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E: Cory Hauck is an applied mathematician and group leader of the Multiscale Methods and Dynamics Group. His research interests cover various aspects of numerical analysis, computational physics, scientific computing, and mathematical tools for scientific data. His primary research area lies is the development of numerical methods for kinetic equations and related models. These models are characteristic by multiscale phenomena, and their simulation requires advanced mathematical tools in modeling and computation.\u003C\/p\u003E\u003Cp\u003EDr. Hauck received his Ph.D. in Applied Mathematics from the University of Maryland in 2006. \u0026nbsp;Before moving to Oak Ridge, he did a postdoc in the Computational Physics and Methods Group and at the Center for Nonlinear Studies at Los Alamos. He serves on the editorial boards of SIAM Multiscale Modeling \u0026amp; Simulation, Journal of Scientific Computing, and others. He has received Householder Fellowship from ORNL and Early Career Award from the Department of Energy (ASCR).\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Cory Hauck, applied mathematician at Oak Ridge National Laboratory\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;April 10, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Qi Tang\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003ERecent Advances in the Design and Simulation of Approximate Multi-Species Collisional Models in Computational Kinetic Theory\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Oak Ridge National Laboratory Applied Mathematician Cory Hauck"}],"uid":"36319","created_gmt":"2026-03-19 12:52:02","changed_gmt":"2026-04-07 13:58:38","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-10T14:00:00-04:00","event_time_end":"2026-04-10T15:00:00-04:00","event_time_end_last":"2026-04-10T15:00:00-04:00","gmt_time_start":"2026-04-10 18:00:00","gmt_time_end":"2026-04-10 19:00:00","gmt_time_end_last":"2026-04-10 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":[],"hg_media":{"679685":{"id":"679685","type":"image","title":"Cory-Hauck.png","body":null,"created":"1773924983","gmt_created":"2026-03-19 12:56:23","changed":"1773924983","gmt_changed":"2026-03-19 12:56:23","alt":"CSE Seminar Cory Hauck","file":{"fid":"263875","name":"Cory-Hauck.png","image_path":"\/sites\/default\/files\/2026\/03\/19\/Cory-Hauck.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/19\/Cory-Hauck.png","mime":"image\/png","size":127223,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/19\/Cory-Hauck.png?itok=qYJBdZoP"}}},"media_ids":["679685"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"194945","name":"Alumni"},{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EQi Tang\u0026nbsp;(qtang@gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"689489":{"#nid":"689489","#data":{"type":"event","title":"COC Ramblin\u0027 Hacks","body":[{"value":"\u003Cp\u003EWhen: 12pm, Friday, April 10 - 4:45pm, Saturday, April 11\u003C\/p\u003E\u003Cp\u003ELocation: Klaus Atrium\u003C\/p\u003E\u003Cp\u003EWho: All students are welcome to participate.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ERegister on the site or use the link provided.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJoin us for our second go-round of Ramblin\u0027 Hacks, the College of Computing\u0027s annual hackathon! Compete across four tracks, each sponsored by a corporate affiliate partner. This is a great opportunity to showcase your skills, make friends, network with sponsors, and win awesome prizes!\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Annual co-sponsored hackathon brought to you by the College of Computing and its partners."}],"uid":"36630","created_gmt":"2026-04-07 12:07:28","changed_gmt":"2026-04-07 12:16:58","author":"ohenry3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-10T12:00:00-04:00","event_time_end":"2026-04-11T16:45:00-04:00","event_time_end_last":"2026-04-11T16:45:00-04:00","gmt_time_start":"2026-04-10 16:00:00","gmt_time_end":"2026-04-11 20:45:00","gmt_time_end_last":"2026-04-11 20:45:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus Atrium","extras":["free_food","freebies"],"hg_media":{"679872":{"id":"679872","type":"image","title":"RamblinHacksFlyer","body":null,"created":"1775564158","gmt_created":"2026-04-07 12:15:58","changed":"1775564158","gmt_changed":"2026-04-07 12:15:58","alt":"Hackathon Flyer","file":{"fid":"264092","name":"Ramblin--Hack--3-.png","image_path":"\/sites\/default\/files\/2026\/04\/07\/Ramblin--Hack--3-_0.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/04\/07\/Ramblin--Hack--3-_0.png","mime":"image\/png","size":812325,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/04\/07\/Ramblin--Hack--3-_0.png?itok=lX6Uk30r"}}},"media_ids":["679872"],"related_links":[{"url":"https:\/\/ramblinhacks.netlify.app\/","title":"Website"},{"url":"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSeim4kVrtPL-fXyObyGl3Ex_9zSzKHW5ErLHfmCcVV6-Iy9xQ\/viewform","title":"Registration Link"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"}],"categories":[],"keywords":[{"id":"61371","name":"Hackathon"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"},{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"689474":{"#nid":"689474","#data":{"type":"event","title":"School of CSE Seminar Series: Abhinav Bhatele","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Abhinav Bhatele, associate professor at University of Maryland\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;April 17, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Rich Vuduc\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EBreaking the Scaling Wall in Distributed Deep Learning\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Significant advances in computer architecture (development of extremely powerful server-class GPUs) and parallel computing (scalable libraries for dense and sparse linear algebra) have contributed to the on-going AI revolution. In particular, distributed training of deep neural networks (DNNs) relies on scalable matrix multiplication algorithms and efficient communication on high-speed interconnects. Pre-training and fine-tuning large language models (LLMs) with hundreds of billions to trillions of parameters and graph neural networks (GNNs) on extremely large graphs requires hundreds to tens of thousands of GPUs. However, such training often suffers from significant scaling bottlenecks such as high communication overheads and load imbalance.\u003C\/p\u003E\u003Cp\u003EIn this talk, I will present several systems research directions that directly impact AI model training. First, I will describe my group\u0027s work in using a three-dimensional parallel algorithm for matrix multiplication in large-scale LLM training.\u0026nbsp; Second, I will demonstrate the application of the same algorithm to full-graph and mini-batch GNN training when working with extremely large graphs. Finally, I will also discuss the need for scalable collective communication routines for large-scale DNN training.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Abhinav Bhatele is an associate professor in the department of computer science, and director of the \u003Ca href=\u0022https:\/\/pssg.cs.umd.edu\/\u0022\u003EParallel Software and Systems Group\u003C\/a\u003E at the University of Maryland, College Park. His research interests are broadly in systems and AI, with a focus on parallel computing and distributed AI. He has published research in parallel programming models and runtimes, network design and simulation, applications of machine learning to parallel systems, parallel deep learning, and on analyzing\/visualizing, modeling and optimizing the performance of parallel software and systems. Abhinav has received best paper awards at Euro-Par 2009, IPDPS 2013, IPDPS 2016, and PDP 2024, and a best poster award at SC 2023. He was selected as a recipient of the \u003Ca href=\u0022http:\/\/www.ieee-tcsc.org\/early.php\u0022\u003EIEEE TCSC Award for Excellence in Scalable Computing (Early Career)\u003C\/a\u003E in 2014, the \u003Ca href=\u0022https:\/\/www.llnl.gov\/news\/laboratory-researchers-recognized-accomplishments-early-and-mid-career-0\u0022\u003ELLNL Early and Mid-Career Recognition\u003C\/a\u003E award in 2018, the NSF CAREER award in 2021, the \u003Ca href=\u0022http:\/\/www.ieee-tcsc.org\/middle.php\u0022\u003EIEEE TCSC Award for Excellence in Scalable Computing (Middle Career)\u003C\/a\u003E in 2023, and the \u003Ca href=\u0022https:\/\/cs.illinois.edu\/about\/awards\/alumni-awards\/alumni-awards-past-recipients\/66697\u0022\u003EUIUC CS Early Career Academic Achievement Alumni Award\u003C\/a\u003E in 2024.\u003C\/p\u003E\u003Cp\u003EAbhinav received a B.Tech. degree in Computer Science and Engineering from I.I.T. Kanpur, India in May 2005, and M.S. and Ph.D. degrees in Computer Science from the University of Illinois at Urbana-Champaign in 2007 and 2010 respectively. He was a post-doc and later computer scientist in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory from 2011-2019. Abhinav was an associate editor of the IEEE Transactions on Parallel and Distributed Systems (TPDS) from 2022-2024. He was one of the General Chairs of IEEE Cluster 2022, and Research Papers Chair of ISC 2023.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Abhinav Bhatele, associate professor at University of Maryland\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;April 17, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Rich Vuduc\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EBreaking the Scaling Wall in Distributed Deep Learning\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from University of Maryland Associate Professor Abhinav Bhatele"}],"uid":"36319","created_gmt":"2026-04-06 14:51:44","changed_gmt":"2026-04-06 14:56:35","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-17T14:00:00-04:00","event_time_end":"2026-04-17T15:00:00-04:00","event_time_end_last":"2026-04-17T15:00:00-04:00","gmt_time_start":"2026-04-17 18:00:00","gmt_time_end":"2026-04-17 19:00:00","gmt_time_end_last":"2026-04-17 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":[],"hg_media":{"679866":{"id":"679866","type":"image","title":"Abhinav-Bhatele.jpg","body":null,"created":"1775487284","gmt_created":"2026-04-06 14:54:44","changed":"1775487284","gmt_changed":"2026-04-06 14:54:44","alt":"CSE Seminar Abhinav Bhatele","file":{"fid":"264076","name":"Abhinav-Bhatele.jpg","image_path":"\/sites\/default\/files\/2026\/04\/06\/Abhinav-Bhatele.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/04\/06\/Abhinav-Bhatele.jpg","mime":"image\/jpeg","size":32593,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/04\/06\/Abhinav-Bhatele.jpg?itok=_It-OtrX"}}},"media_ids":["679866"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"194945","name":"Alumni"},{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ERich Vuduc (richie@cc.gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"689028":{"#nid":"689028","#data":{"type":"event","title":"HotCSE Seminar: Ben Cobb","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE Ph.D. Candidate Ben Cobb\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, April 1, 2026, at 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ELunch provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EFast Active-Set Thresholding Method for Nonnegative Least Squares\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E: Nonnegative Least Squares (NNLS) is a fundamental constrained optimization problem encountered in many applications such as image deblurring, signal processing, nonnegative matrix factorization, magnetic microscopy, and hyperspectral imaging. Active-set based methods are a common class of algorithms for solving NNLS which identify the optimal variable set of the NNLS solution. They do so by iteratively solving a series of unconstrained least squares problems, identifying which variables violate the nonnegativity constraints, and then swapping variables in\/out of consideration until the optimal set of variables is found. Several variations improving upon this method exist in the literature. In this work, we propose an active-set swap heuristic which further improves upon existing active-set based methods for NNLS. Our optimizations are based upon adding multiple variables to the passive set within a threshold of the smallest gradient value and removing variables within a similar threshold of the closest boundary constraint. We leverage these optimizations to yield a Fast Active-Set Thresholding NNLS (FAST-NNLS) algorithm which significantly outperforms the existing state-of-the-art NNLS algorithms for a wide range of problems. Rigorous convergence guarantees are proven for the proposed method. We demonstrate the effectiveness of our proposed method on multiple synthetic datasets and two real-world text analysis applications. In doing so, we present the most comprehensive NNLS solver comparison in the literature to date.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E: Ben Cobb is a CSE Ph.D. candidate conducting research at the intersection of high-performance computing and numerical linear algebra under the co-advisement of Richard Vuduc and Haesun Park. His doctoral research pertains to various forms of tensor decompositions for data analysis and compression.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EAbout HotCSE\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003EHotCSE is an academic seminar series to bring Ph.D. students in Computational Science and Engineering together to discuss interesting topics. The topics consist of high-performance computing, machine learning, data analysis, simulation, computational sustainability, medical informatics, etc.\u003C\/p\u003E\u003Cp\u003EThe talks have always been enjoyable and have ranged from quite informal to formal conference style talks. Either chalks or slides can be used to help people understand your talk. It is also a great forum to practice conference talks and bounce around new ideas.\u003C\/p\u003E\u003Cp\u003ECurrently the talks are sponsored by the School of Computational Science and Engineering. The goal of CSE is slightly broader than that of these talks - we want to bring more people outside CSE to discuss their related work here.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE Ph.D. Candidate Ben Cobb\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, April 1, 2026, at 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EFast Active-Set Thresholding Method for Nonnegative Least Squares\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Fast Active-Set Thresholding Method for Nonnegative Least Squares"}],"uid":"36319","created_gmt":"2026-03-19 12:42:10","changed_gmt":"2026-03-19 12:48:01","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-01T12:00:00-04:00","event_time_end":"2026-04-01T13:00:00-04:00","event_time_end_last":"2026-04-01T13:00:00-04:00","gmt_time_start":"2026-04-01 16:00:00","gmt_time_end":"2026-04-01 17:00:00","gmt_time_end_last":"2026-04-01 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":["free_food"],"hg_media":{"679684":{"id":"679684","type":"image","title":"Ben-Cobb.jpg","body":null,"created":"1773924384","gmt_created":"2026-03-19 12:46:24","changed":"1773924384","gmt_changed":"2026-03-19 12:46:24","alt":"HotCSE Seminar Ben Cobb","file":{"fid":"263874","name":"Ben-Cobb.jpg","image_path":"\/sites\/default\/files\/2026\/03\/19\/Ben-Cobb.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/19\/Ben-Cobb.jpg","mime":"image\/jpeg","size":9188,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/19\/Ben-Cobb.jpg?itok=dInraqau"}}},"media_ids":["679684"],"related_links":[{"url":"https:\/\/hotcse.gatech.edu\/","title":"HotCSE"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"194945","name":"Alumni"},{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ECSE Graduate Student Association\u003C\/p\u003E\u003Cp\u003Ecse-gsa@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"688895":{"#nid":"688895","#data":{"type":"event","title":"SCS GSA Lunch with Labs","body":[{"value":"\u003Cp\u003EThe SCS GSA is excited to invite you to \u003Cstrong\u003ELunch with Labs\u003C\/strong\u003E\u0026nbsp;on \u003Cstrong\u003ETuesday, March 17, from 12:00\u20131:30 PM in the Klaus Atrium\u003C\/strong\u003E!\u0026nbsp;\u003Cbr\u003E\u003Cbr\u003EThis lunch is a great opportunity to bring together the SCS community and encourage more interaction across labs, programs, and research areas. We\u2019d love for you to join us with your lab, enjoy some good food, and meet fellow Ph.D. and M.S. students from across the School of Computer Science.\u003Cbr\u003E\u003Cbr\u003E\u003Cstrong\u003EAll faculty and students are warmly welcome to attend\u003C\/strong\u003E. We especially encourage you to share event with your labmates and advisor and come as a group!\u003Cbr\u003E\u003Cbr\u003EWe hope this will be a fun and relaxed chance to connect with others in SCS, strengthen our community, and enjoy lunch together.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis lunch is a great opportunity to bring together the SCS community and encourage more interaction across labs, programs, and research areas. We\u2019d love for you to join us with your lab, enjoy some good food, and meet fellow Ph.D. and M.S. students from across the School of Computer Science.\u003Cbr\u003E\u003Cbr\u003E\u003Cstrong\u003EAll faculty and students are warmly welcome to attend\u003C\/strong\u003E. We especially encourage you to share this event with your labmates and advisor and come as a group!\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"This lunch is a great opportunity to bring together the SCS community and encourage more interaction across labs, programs, and research areas."}],"uid":"36532","created_gmt":"2026-03-11 20:27:57","changed_gmt":"2026-03-11 20:30:24","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-17T12:00:00-04:00","event_time_end":"2026-03-17T13:30:00-04:00","event_time_end_last":"2026-03-17T13:30:00-04:00","gmt_time_start":"2026-03-17 16:00:00","gmt_time_end":"2026-03-17 17:30:00","gmt_time_end_last":"2026-03-17 17:30:00","rrule":null,"timezone":"America\/New_York"},"location":"KACB Atrium","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"688894":{"#nid":"688894","#data":{"type":"event","title":"SCS Faculty Candidate Seminar: Steven Xia","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title:\u003C\/strong\u003E Transforming Software Development in the Era of LLMs\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker: \u003C\/strong\u003ESteven Xia, Ph.D. Candidate, University of Illinois Urbana-Champaign\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EAI and large language models (LLMs) are ushering in a new era of software development, fundamentally reshaping how systems are built, tested, and maintained. In this talk, I will present my research on integrating modern LLM capabilities with core software engineering principles to automate complex development tasks and strengthen the coding and reasoning abilities of AI systems. I will first introduce\u0026nbsp;TitanFuzz, which leverages LLMs to implicitly solve complex and heterogeneous constraints for large-scale system testing, uncovering critical bugs in real-world software, and inspiring extensive subsequent work in LLM-driven testing. Next, I will discuss Agentless, which demonstrates that a simple, lightweight framework can effectively solve challenging repository-level software engineering tasks without heavy agentic overhead. I will showcase how Agentless has been adopted by leading AI companies to evaluate their latest models, inspire new agentic frameworks, and perform post- or mid-training for agentic coding and reasoning. In addition, I will highlight my other work on automating complex software tasks and my recent work to enable runtime self-improvement in AI coding systems. Together, my work establishes a scalable and practical foundation for building more capable and reliable AI-driven software systems.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EChunqiu Steven Xia is a PhD candidate in Computer Science at UIUC, advised by Professor\u0026nbsp;Lingming\u0026nbsp;Zhang. His research lies at the intersection of Software Engineering and Artificial Intelligence, with a focus on automating critical and cognitively demanding software development tasks using large language models (LLMs) and software agents. His work has significantly advanced how fundamental software problems are addressed in both academia and industry, uncovering 200+ critical bugs and vulnerabilities in widely used systems, and being adopted by leading AI companies, including OpenAI, Meta, DeepSeek, and\u0026nbsp;MiniMax. His research has been recognized with an ACM SIGSOFT Distinguished Paper Award (FSE 2025), an Oral Spotlight Paper Award (COLM 2024), a CACM Research Highlight (FSE 2023), and the prestigious Amazon AICE PhD Fellowship.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title:\u003C\/strong\u003E Transforming Software Development in the Era of LLMs\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker: \u003C\/strong\u003ESteven Xia, Ph.D. Candidate, University of Illinois Urbana-Champaign\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"SCS Faculty Candidate Seminar: Steven Xia"}],"uid":"36532","created_gmt":"2026-03-11 20:22:55","changed_gmt":"2026-03-11 20:24:29","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-19T11:00:00-04:00","event_time_end":"2026-03-19T12:00:00-04:00","event_time_end_last":"2026-03-19T12:00:00-04:00","gmt_time_start":"2026-03-19 15:00:00","gmt_time_end":"2026-03-19 16:00:00","gmt_time_end_last":"2026-03-19 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"KACB 1116","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"688548":{"#nid":"688548","#data":{"type":"event","title":"School of CSE Seminar Series: Stefan Radev","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Stefan Radev, assistant professor at Rensselaer Polytechnic Institute\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;March 13, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Felix Herrmann\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EDiffusion Models for the Next Generation of Simulation-Based Inference: Challenges and Opportunities\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Diffusion models have recently emerged as powerful tools for simulation-based inference (SBI). SBI tackles the problem of estimating complex models from complex data, and the score-based formulation of diffusion models offers unmatched flexibility for inference and generation. This talk will synthesize recent advancements in diffusion models for SBI, focusing on key developments in training, inference, and evaluation. It will explore the potential of concepts such as guidance, score composition, flow matching, consistency models, and joint modeling. Finally, it will showcase three recent contributions from our group: 1) consistency models for near-real-time Bayesian inference; 2) compositional models for large-scale multilevel estimation, and 3) amortized Bayesian adaptive design for maximizing information gain in sequential experiments.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Stefan T. Radev is the principal investigator of the \u003Ca href=\u0022https:\/\/bayesops.com\/\u0022\u003EBayesOps Lab\u003C\/a\u003E. He leads research on amortized Bayesian inference with generative AI and is a core developer and originator of the BayesFlow framework. He is particularly interested in the intersection of Bayesian modeling, deep learning, and cognitive science. His education and experience include:\u003C\/p\u003E\u003Cp\u003E2018 \u2013 2021 \u2013 Ph.D., Heidelberg University (Statistical Modeling in Psychology)\u003Cbr\u003E2021 \u2013 2023 \u2013 Postdoctoral Researcher, Heidelberg University (Deep Learning)\u003Cbr\u003E2023 \u2013 present \u2013 Assistant Professor, Rensselaer Polytechnic Institute\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Stefan Radev, assistant professor at Rensselaer Polytechnic Institute\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;March 13, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Felix Herrmann\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EDiffusion Models for the Next Generation of Simulation-Based Inference: Challenges and Opportunities\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Rensselaer Polytechnic Institute Assistant Professor Stefan Radev"}],"uid":"36319","created_gmt":"2026-02-26 17:07:44","changed_gmt":"2026-03-09 13:26:01","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-13T14:00:00-04:00","event_time_end":"2026-03-13T15:00:00-04:00","event_time_end_last":"2026-03-13T15:00:00-04:00","gmt_time_start":"2026-03-13 18:00:00","gmt_time_end":"2026-03-13 19:00:00","gmt_time_end_last":"2026-03-13 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":[],"hg_media":{"679452":{"id":"679452","type":"image","title":"Stefen-Radev.jpeg","body":null,"created":"1772125724","gmt_created":"2026-02-26 17:08:44","changed":"1772125724","gmt_changed":"2026-02-26 17:08:44","alt":"CSE Seminar Stefan Radev","file":{"fid":"263616","name":"Stefen-Radev.jpeg","image_path":"\/sites\/default\/files\/2026\/02\/26\/Stefen-Radev.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/26\/Stefen-Radev.jpeg","mime":"image\/jpeg","size":21913,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/26\/Stefen-Radev.jpeg?itok=y62pBZTA"}}},"media_ids":["679452"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"194945","name":"Alumni"},{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EFelix Herrmann (felix.herrmann@gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"688451":{"#nid":"688451","#data":{"type":"event","title":"School of CSE Seminar Series: Manling Li","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Manling Li, assistant professor at Northwestern University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;February 24, 11:00 a.m. - 12:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Bo Dai\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EToward Foundation Agents: How Multimodal Models Learn (and Fail to Learn) the Physical World\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Today\u2019s multimodal models are often trained with a brute-force \u201calign everything\u201d recipe, yet it is still unclear how cross-modal intelligence can emerge. We argue the key question is mechanistic: how can models go beyond static alignment annotations to learn from physical-world interaction and support goal-directed decision making? We systematically study multimodal learning through the MDP agent loop: state estimation, world modeling for planning, and control for safety. First, we open up the black box, and intervene inside embeddings to reveal how geometry is lost, and design ways to retain geometric structure. Second, we inject world-model priors to teach dynamics through RAGEN\/VAGEN, enabling multi-step planning rather than token matching. Third, we introduce ODE-Steer for safe agents, which steers internal activations into \u201csafe zones\u201d where reasoning stays reliable and controllable. Lastly, we lay out the future that true multimodal intelligence requires more than aligning tokens; it requires aligning the internal mechanisms of the model with the geometry of the world.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Manling Li is an Assistant Professor at Northwestern University and an Amazon Scholar. She was a postdoc at Stanford University, and obtained Ph.D. degree in Computer Science at University of Illinois Urbana-Champaign in 2023. She works on Reasoning, Planning and Compositionality, in the intersection of Language, Vision, and Robotics. Her work has been recognized as ACL 2025 Inaugural Dissertation Award Honorable Mention, MIT Tech Review Innovators Under 35, ACL\u201924 Outstanding Paper Award, NAACL\u002721 Best Demo Paper Award, ACL\u002720 Best Demo Paper Award, Microsoft Research PhD Fellowship, EE CS Rising Star, etc. She served as virtual chairs of ACL 25, publication chairs at NAACL 25, demo chairs at EMNLP 24, etc. Additional information is available at \u003Ca href=\u0022https:\/\/limanling.github.io\/\u0022\u003Ehttps:\/\/limanling.github.io\/\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Manling Li, assistant professor at Northwestern University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;February 24, 11:00 a.m. - 12:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Bo Dai\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EToward Foundation Agents: How Multimodal Models Learn (and Fail to Learn) the Physical World\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Northwestern University Assistant Professor Manling Li"}],"uid":"36319","created_gmt":"2026-02-20 18:35:58","changed_gmt":"2026-02-20 18:59:26","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-24T11:00:00-05:00","event_time_end":"2026-02-24T12:00:00-05:00","event_time_end_last":"2026-02-24T12:00:00-05:00","gmt_time_start":"2026-02-24 16:00:00","gmt_time_end":"2026-02-24 17:00:00","gmt_time_end_last":"2026-02-24 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":[],"hg_media":{"679384":{"id":"679384","type":"image","title":"Manling-Li.jpg","body":null,"created":"1771612616","gmt_created":"2026-02-20 18:36:56","changed":"1771612616","gmt_changed":"2026-02-20 18:36:56","alt":"CSE Seminar Manling Li","file":{"fid":"263538","name":"Manling-Li.jpg","image_path":"\/sites\/default\/files\/2026\/02\/20\/Manling-Li.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/20\/Manling-Li.jpg","mime":"image\/jpeg","size":28320,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/20\/Manling-Li.jpg?itok=apa7slon"}}},"media_ids":["679384"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ESophie McGivern \u0026nbsp;\u003Cbr\u003Esmcgivern3@gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"688435":{"#nid":"688435","#data":{"type":"event","title":"HotCSE Seminar: Yanjie Tong","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE Ph.D. Student Yanjie Tong\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, March 4, 2026, at 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ELunch provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EFrom Sparse Sensors to Continuous Fields: STRIDE for Spatiotemporal Reconstruction\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003EWe introduce STRIDE (Spatio-Temporal Recurrent Implicit DEcoder), a novel deep learning framework for reconstructing high-dimensional spatiotemporal fields from sparse point-sensor measurements. Existing approaches often struggle to generalize across trajectories and parameter settings, or rely on discretization-tied decoders that do not naturally transfer across meshes and resolutions. Our proposed approach is a two-stage framework which maps a short window of sensor measurements to a latent state with a temporal encoder and reconstructs the field at arbitrary query locations with a modulated implicit neural representation (INR) decoder. Using the Fourier Multi-Component and Multi-Layer Neural Network (FMMNN) as the INR backbone improves representation of complex spatial fields and yields more stable optimization than sine-based INRs. We provide a conditional theoretical justification: under stable delay observability of point measurements on a low-dimensional parametric invariant set, the reconstruction operator factors through a finite-dimensional embedding, making STRIDE-type architectures natural approximators. Experiments on four challenging benchmarks spanning chaotic dynamics and wave propagation show that STRIDE outperforms strong baselines under extremely sparse sensing, supports super-resolution, and remains robust to noise.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Yanjie Tong is a second-year CSE Ph.D. student advised by Dr. Peng Chen. He earned both his B.S. in Mathematics and Physics and his B.Eng. in Energy and Power Engineering at Tsinghua University. His research focuses on methods for learning latent dynamics in low-dimensional spaces and their application to real-world problems.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EAbout HotCSE\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003EHotCSE is an academic seminar series to bring Ph.D. students in Computational Science and Engineering together to discuss interesting topics. The topics consist of high-performance computing, machine learning, data analysis, simulation, computational sustainability, medical informatics, etc.\u003C\/p\u003E\u003Cp\u003EThe talks have always been enjoyable and have ranged from quite informal to formal conference style talks. Either chalks or slides can be used to help people understand your talk. It is also a great forum to practice conference talks and bounce around new ideas.\u003C\/p\u003E\u003Cp\u003ECurrently the talks are sponsored by the School of Computational Science and Engineering. The goal of CSE is slightly broader than that of these talks - we want to bring more people outside CSE to discuss their related work here.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE Ph.D. Student Yanjie Tong\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, March 4, 2026, at 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EFrom Sparse Sensors to Continuous Fields: STRIDE for Spatiotemporal Reconstruction\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: From Sparse Sensors to Continuous Fields: STRIDE for Spatiotemporal Reconstruction"}],"uid":"36319","created_gmt":"2026-02-20 16:48:48","changed_gmt":"2026-02-20 16:54:29","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-04T12:00:00-05:00","event_time_end":"2026-03-04T13:00:00-05:00","event_time_end_last":"2026-03-04T13:00:00-05:00","gmt_time_start":"2026-03-04 17:00:00","gmt_time_end":"2026-03-04 18:00:00","gmt_time_end_last":"2026-03-04 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":["free_food"],"hg_media":{"679383":{"id":"679383","type":"image","title":"Yanjie-Tong.jpeg","body":null,"created":"1771606447","gmt_created":"2026-02-20 16:54:07","changed":"1771606447","gmt_changed":"2026-02-20 16:54:07","alt":"HotCSE Seminar Yanjie Tong","file":{"fid":"263535","name":"Yanjie-Tong.jpeg","image_path":"\/sites\/default\/files\/2026\/02\/20\/Yanjie-Tong.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/20\/Yanjie-Tong.jpeg","mime":"image\/jpeg","size":19510,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/20\/Yanjie-Tong.jpeg?itok=Q2YwGHl6"}}},"media_ids":["679383"],"related_links":[{"url":"https:\/\/hotcse.gatech.edu\/","title":"HotCSE"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"},{"id":"1791","name":"Student sponsored"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ECSE Graduate Student Association\u003C\/p\u003E\u003Cp\u003Ecse-gsa@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"688371":{"#nid":"688371","#data":{"type":"event","title":"IC Spring Seminar Series with Nicholas Sharp","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EThe world around us is inherently 3D, and this structure is essential from engineering and the physical sciences to photogrammetry and robotics. Yet computing and learning with real-world geometric data remains remarkably difficult, stubbornly stuck on challenges of robustness, representation, and scale. Noisy scans, mismatched representations, and massive datasets make even basic operations fragile and slow, while learning with 3D data demands a new set of architectures purpose-built for the task.\u003C\/p\u003E\u003Cp\u003EThis talk will present methods that unlock 3D data for reliable processing and learning in the wild. I\u0027ll cover neural network architectures designed specifically for 3D data to offer physical consistency and geometric fidelity by-construction, simulation techniques that operate natively on scanned environments, and the foundational geometric algorithms that underpin it all. Throughout, a key theme is interfacing principled geometric methods with modern machine learning.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ENicholas Sharp\u0027s research develops algorithms and architectures to make computing with geometric data easy, efficient, and reliable. He received his PhD in Computer Science from Carnegie Mellon University advised by Keenan Crane, and completed his postdoc at the University of Toronto \u0026amp; Fields Institute for Mathematics with Alec Jacobson. Currently, he is a Senior Research Scientist at NVIDIA, leading research on 3D learning that powers applications from autonomous driving to generative AI. His work has won multiple best paper awards (SIGGRAPH \u002722, SIGGRAPH Asia \u002723, SGP \u002720 \u0026amp; \u002725), developed widely-used software including the award-winning Polyscope library, and has been covered in the press by the New York Times and Ars Technica. For more, see www.nmwsharp.com.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EThe world around us is inherently 3D, and this structure is essential from engineering and the physical sciences to photogrammetry and robotics. Yet computing and learning with real-world geometric data remains remarkably difficult, stubbornly stuck on challenges of robustness, representation, and scale. Noisy scans, mismatched representations, and massive datasets make even basic operations fragile and slow, while learning with 3D data demands a new set of architectures purpose-built for the task.\u003C\/p\u003E\u003Cp\u003EThis talk will present methods that unlock 3D data for reliable processing and learning in the wild. I\u0027ll cover neural network architectures designed specifically for 3D data to offer physical consistency and geometric fidelity by-construction, simulation techniques that operate natively on scanned environments, and the foundational geometric algorithms that underpin it all. Throughout, a key theme is interfacing principled geometric methods with modern machine learning.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ENicholas Sharp\u0027s research develops algorithms and architectures to make computing with geometric data easy, efficient, and reliable. He received his PhD in Computer Science from Carnegie Mellon University advised by Keenan Crane, and completed his postdoc at the University of Toronto \u0026amp; Fields Institute for Mathematics with Alec Jacobson. Currently, he is a Senior Research Scientist at NVIDIA, leading research on 3D learning that powers applications from autonomous driving to generative AI. His work has won multiple best paper awards (SIGGRAPH \u002722, SIGGRAPH Asia \u002723, SGP \u002720 \u0026amp; \u002725), developed widely-used software including the award-winning Polyscope library, and has been covered in the press by the New York Times and Ars Technica. For more, see www.nmwsharp.com.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Talk Title \u2014 Geometric Methods for Our Messy 3D WorldTalk Title: Geometric Methods for Our Messy 3D World"}],"uid":"36530","created_gmt":"2026-02-18 19:30:14","changed_gmt":"2026-02-18 19:36:37","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-23T11:00:00-05:00","event_time_end":"2026-02-23T12:00:00-05:00","event_time_end_last":"2026-02-23T12:00:00-05:00","gmt_time_start":"2026-02-23 16:00:00","gmt_time_end":"2026-02-23 17:00:00","gmt_time_end_last":"2026-02-23 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda 9th Floor Atrium","extras":[],"hg_media":{"679354":{"id":"679354","type":"image","title":"Sharp_Nicolas.jpg","body":null,"created":"1771443068","gmt_created":"2026-02-18 19:31:08","changed":"1771443068","gmt_changed":"2026-02-18 19:31:08","alt":"Nicolas Sharp","file":{"fid":"263505","name":"Sharp_Nicolas.jpg","image_path":"\/sites\/default\/files\/2026\/02\/18\/Sharp_Nicolas.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/18\/Sharp_Nicolas.jpg","mime":"image\/jpeg","size":367923,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/18\/Sharp_Nicolas.jpg?itok=ejm8bmY-"}}},"media_ids":["679354"],"groups":[{"id":"47223","name":"College of Computing"},{"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":""}},"688365":{"#nid":"688365","#data":{"type":"event","title":"IC Spring Seminar Series with Yifei Li","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EIn traditional graphics, simulation success is defined by visual plausibility. If a simulation looks correct to human eyes, the task is complete. However, as simulation moves from digital content creation to domains like robotics, physical design, and engineering, the goal shifts to physical consequence, where simulation errors lead to real-world failure. High-fidelity simulators exist for these domains, but they act as \u0027forward-only oracles\u0027 that lack the gradients necessary for deep physical reasoning and optimization. Conversely, while pure machine learning models offer fast reasoning and data-adaptability, they often lack the physical consistency required for high-stakes deployment.\u003Cbr\u003E\u003Cbr\u003EIn this talk, I will present a framework for Physical AI that bridges these two paradigms. I will first introduce differentiable simulation engines that transform physics into usable gradients for optimization, enabling the unified co-design of form and control. I will demonstrate this on diverse applications including the inverse design of fluidic devices and artificial heart, policy learning for assistive dressing robots, and the creation of simulation-ready digital twins from 3D scans. Finally, I will discuss how to move beyond idealized modeling equations using Neural Modular Learning, enabling systems to adapt to complex, real-world dynamics from measurements during operation.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EYifei Li is a Ph.D. candidate in EECS at MIT, advised by Prof. Wojciech Matusik. Her research bridges high-fidelity physics simulation with machine learning to enable systems that reason through physical environments, powering applications across computational design, digital twins, assistive robotics, and biomedical engineering. Yifei received her B.S. in Computer Science from Carnegie Mellon University. Her professional experience includes research internships at Meta Reality Labs, NVIDIA, the Boston Dynamics AI Institute, and Facebook AI Research. She is the recipient of the MIT Stata Family Presidential Fellowship and has been named a Rising Star in both Computer Graphics and EECS.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EIn traditional graphics, simulation success is defined by visual plausibility. If a simulation looks correct to human eyes, the task is complete. However, as simulation moves from digital content creation to domains like robotics, physical design, and engineering, the goal shifts to physical consequence, where simulation errors lead to real-world failure. High-fidelity simulators exist for these domains, but they act as \u0027forward-only oracles\u0027 that lack the gradients necessary for deep physical reasoning and optimization. Conversely, while pure machine learning models offer fast reasoning and data-adaptability, they often lack the physical consistency required for high-stakes deployment.\u003Cbr\u003E\u003Cbr\u003EIn this talk, I will present a framework for Physical AI that bridges these two paradigms. I will first introduce differentiable simulation engines that transform physics into usable gradients for optimization, enabling the unified co-design of form and control. I will demonstrate this on diverse applications including the inverse design of fluidic devices and artificial heart, policy learning for assistive dressing robots, and the creation of simulation-ready digital twins from 3D scans. Finally, I will discuss how to move beyond idealized modeling equations using Neural Modular Learning, enabling systems to adapt to complex, real-world dynamics from measurements during operation.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Talk Title \u2014 From Visual Computing to Physical AI: Simulation, Optimization, and Learning for Physical Systems "}],"uid":"36530","created_gmt":"2026-02-18 17:41:19","changed_gmt":"2026-02-18 18:09:11","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-24T11:00:00-05:00","event_time_end":"2026-02-24T12:00:00-05:00","event_time_end_last":"2026-02-24T12:00:00-05:00","gmt_time_start":"2026-02-24 16:00:00","gmt_time_end":"2026-02-24 17:00:00","gmt_time_end_last":"2026-02-24 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"IC Cafe, Technology Square Research Building","extras":[],"hg_media":{"679343":{"id":"679343","type":"image","title":"Li_Yifei.jpg","body":null,"created":"1771436626","gmt_created":"2026-02-18 17:43:46","changed":"1771436626","gmt_changed":"2026-02-18 17:43:46","alt":"Yifei Li","file":{"fid":"263492","name":"Li_Yifei.jpg","image_path":"\/sites\/default\/files\/2026\/02\/18\/Li_Yifei.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/18\/Li_Yifei.jpg","mime":"image\/jpeg","size":214528,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/18\/Li_Yifei.jpg?itok=BetZlR6r"}}},"media_ids":["679343"],"groups":[{"id":"47223","name":"College of Computing"},{"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":""}},"688367":{"#nid":"688367","#data":{"type":"event","title":"IC Spring Seminar Series with Jiayi (Eris) Zhang","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EPhysics simulation increasingly sits in the loop of\u0026nbsp;interactive\u0026nbsp;content creation, digital twins, and embodied AI. A central dilemma cuts across these applications: the tradeoff between simulation speed and fidelity, especially at scale. In practice, an equally limiting barrier is\u0026nbsp;interactive\u0026nbsp;control. Artists and\u0026nbsp;designers need coarse previews they can manipulate in real time, with confidence that refinement will not overturn their decisions. Standard multiresolution approaches often fall short because coarse solutions can drift, and refinement can introduce surprises due to numerical stiffening, geometric inconsistency, and contact.\u003C\/p\u003E\u003Cp\u003ETo address this challenge, my research program introduces Progressive Simulation, a general-purpose, coarse-to-fine level-of-detail (LOD) framework for physics simulation that brings and generalizes ideas from progressive rendering and progressive geometry to the simulation setting. The core idea is to produce a fast, coarse, artifact-free, predictive preview under tight computational budgets for rapid iteration, then apply consistent refinement across resolutions that converges to a richly detailed, high-fidelity result as more resources or stricter accuracy requirements become available. In this talk, I will present methods that realize this approach in both progressive quasistatics and progressive dynamics, with results spanning cloth, shells, and volumetric objects, enabling experimental\u0026nbsp;design,\u0026nbsp;interactive\u0026nbsp;staging, and physics-based storytelling. Finally, I will outline future directions toward broader applicability, including multi-fidelity, multi-physics simulation systems powered by scalable solvers.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EJiayi (Eris) Zhang is a fifth-year PhD candidate in Computer Science at Stanford University, advised by Prof. Doug James, and works closely with Dr. Danny Kaufman at Adobe. She received her BS in Computer Science and Mathematics from the University of Toronto, where she conducted research with Prof. Alec Jacobson. Her research spans physics simulation, geometry processing, numerical optimization, and spatial intelligence, with a focus on building algorithms, models, and tools that enhance human productivity and creativity in science, engineering, and\u0026nbsp;interactive\u0026nbsp;authoring workflows. She is a Stanford Reed-Hodgson Fellow, a WiGRAPH Rising Star, and an MIT EECS Rising Star, and has received the Adobe Women-in-Technology Scholarship, the Roblox Graduate Fellowship, and the NVIDIA Graduate Fellowship. She has also interned at Adobe and NVIDIA across multiple summers.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EPhysics simulation increasingly sits in the loop of\u0026nbsp;interactive\u0026nbsp;content creation, digital twins, and embodied AI. A central dilemma cuts across these applications: the tradeoff between simulation speed and fidelity, especially at scale. In practice, an equally limiting barrier is\u0026nbsp;interactive\u0026nbsp;control. Artists and\u0026nbsp;designers need coarse previews they can manipulate in real time, with confidence that refinement will not overturn their decisions. Standard multiresolution approaches often fall short because coarse solutions can drift, and refinement can introduce surprises due to numerical stiffening, geometric inconsistency, and contact.\u003C\/p\u003E\u003Cp\u003ETo address this challenge, my research program introduces Progressive Simulation, a general-purpose, coarse-to-fine level-of-detail (LOD) framework for physics simulation that brings and generalizes ideas from progressive rendering and progressive geometry to the simulation setting. The core idea is to produce a fast, coarse, artifact-free, predictive preview under tight computational budgets for rapid iteration, then apply consistent refinement across resolutions that converges to a richly detailed, high-fidelity result as more resources or stricter accuracy requirements become available. In this talk, I will present methods that realize this approach in both progressive quasistatics and progressive dynamics, with results spanning cloth, shells, and volumetric objects, enabling experimental\u0026nbsp;design,\u0026nbsp;interactive\u0026nbsp;staging, and physics-based storytelling. Finally, I will outline future directions toward broader applicability, including multi-fidelity, multi-physics simulation systems powered by scalable solvers.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EJiayi (Eris) Zhang is a fifth-year PhD candidate in Computer Science at Stanford University, advised by Prof. Doug James, and works closely with Dr. Danny Kaufman at Adobe. She received her BS in Computer Science and Mathematics from the University of Toronto, where she conducted research with Prof. Alec Jacobson. Her research spans physics simulation, geometry processing, numerical optimization, and spatial intelligence, with a focus on building algorithms, models, and tools that enhance human productivity and creativity in science, engineering, and\u0026nbsp;interactive\u0026nbsp;authoring workflows. She is a Stanford Reed-Hodgson Fellow, a WiGRAPH Rising Star, and an MIT EECS Rising Star, and has received the Adobe Women-in-Technology Scholarship, the Roblox Graduate Fellowship, and the NVIDIA Graduate Fellowship. She has also interned at Adobe and NVIDIA across multiple summers.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Talk Title \u2014 Interactive Design of High-Fidelity Physics via Progressive Simulation"}],"uid":"36530","created_gmt":"2026-02-18 18:05:25","changed_gmt":"2026-02-18 18:06:59","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-25T11:00:00-05:00","event_time_end":"2026-02-25T12:00:00-05:00","event_time_end_last":"2026-02-25T12:00:00-05:00","gmt_time_start":"2026-02-25 16:00:00","gmt_time_end":"2026-02-25 17:00:00","gmt_time_end_last":"2026-02-25 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda 9th Floor Atrium","extras":[],"hg_media":{"679345":{"id":"679345","type":"image","title":"Zhang_Eris.jpg","body":null,"created":"1771437947","gmt_created":"2026-02-18 18:05:47","changed":"1771437947","gmt_changed":"2026-02-18 18:05:47","alt":"Eris Zhang","file":{"fid":"263494","name":"Zhang_Eris.jpg","image_path":"\/sites\/default\/files\/2026\/02\/18\/Zhang_Eris.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/18\/Zhang_Eris.jpg","mime":"image\/jpeg","size":486176,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/18\/Zhang_Eris.jpg?itok=s2nUI0NT"}}},"media_ids":["679345"],"groups":[{"id":"47223","name":"College of Computing"},{"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":""}},"687827":{"#nid":"687827","#data":{"type":"event","title":"School of CSE Seminar Series: Esteban Cisneros-Garibay","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Esteban Cisneros-Garibay, assistant professor at the University of Tennessee\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;February 27, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Spencer Bryngelson\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003ESymbolic Abstractions Enable Exascale Simulations of Reacting Flows and Automatic Differentiation\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Accurate simulations of reacting flows require a computational representation of the chemical source terms. Dedicated libraries can provide such representations, acting as interfaces between mechanistic data and flow solvers. However, libraries form a fragmented computational landscape, designed to satisfy one application (e.g., combustion or plasma chemistry) and target specific computing hardware. These considerations preclude the simulation of multi-chemistry flows such as plasma-coupled combustion, automatic differentiation, and joint optimization of flow solvers on modern hardware such as GPUs. A symbolic representation of the chemistry is developed to address these challenges. At the symbolic level, conflicts across applications and hardware vanish. The representation is language and library agnostic, transformed through code generation to enable performant GPU execution and automatic differentiation. The Pyrometheus suite implements the proposed approach. Its capabilities and performance are demonstrated for combustion, plasma, and thermonuclear chemistry. The implementation supports existing HPC frameworks, enabling exascale simulations of reacting flows with the state-of-the-art flow solver MFC.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Esteban Cisneros\u2013Garibay is an assistant professor at the University of Tennessee Space Institute. His research focus is on high-speed chemically-reacting turbulent flows, using computational methods. He obtained his PhD in Theoretical \u0026amp; Applied Mechanics at The University of Illinois Urbana\u2013Champaign in 2021. From 2021 to 2022, he was Presidential Postdoctoral Fellow at Princeton University, and then a data scientist at Bayer AG until 2025.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Esteban Cisneros-Garibay, assistant professor at the University of Tennessee\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;February 27, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Spencer Bryngelson\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003ESymbolic Abstractions Enable Exascale Simulations of Reacting Flows and Automatic Differentiation\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from University of Tennessee Assistant Professor Esteban Cisneros-Garibay"}],"uid":"36319","created_gmt":"2026-01-29 17:33:59","changed_gmt":"2026-02-18 16:52:23","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-27T14:00:00-05:00","event_time_end":"2026-02-27T15:00:00-05:00","event_time_end_last":"2026-02-27T15:00:00-05:00","gmt_time_start":"2026-02-27 19:00:00","gmt_time_end":"2026-02-27 20:00:00","gmt_time_end_last":"2026-02-27 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":[],"hg_media":{"679129":{"id":"679129","type":"image","title":"Esteban-Cisneros-Garibay.jpg","body":null,"created":"1769708204","gmt_created":"2026-01-29 17:36:44","changed":"1769708204","gmt_changed":"2026-01-29 17:36:44","alt":"CSE Seminar Esteban Cisneros-Garibay","file":{"fid":"263250","name":"Esteban-Cisneros-Garibay.jpg","image_path":"\/sites\/default\/files\/2026\/01\/29\/Esteban-Cisneros-Garibay_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/01\/29\/Esteban-Cisneros-Garibay_0.jpg","mime":"image\/jpeg","size":31817,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/01\/29\/Esteban-Cisneros-Garibay_0.jpg?itok=a9ofaOqD"}}},"media_ids":["679129"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ESpencer Bryngelson (shb@gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"688242":{"#nid":"688242","#data":{"type":"event","title":"IC Spring Seminar Series with Hong-Xing (Koven) Yu","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EWorld models that recreate and simulate the physical world hold transformative potential across robotics, entertainment, and engineering analysis. Achieving this vision requires both generating 3D environments from limited observations and predicting how they evolve under physical actions. Pure physical modeling provides guarantees and action control but demands complete state specification rarely available in practice; pure generative learning handles incomplete information to produce realistic content but lacks the structured representations needed for physical interaction and reasoning. This talk\u0026nbsp;presents physics-grounded world models, integrating these approaches to leverage their complementary strengths: physical representations provide the structured interface for actions and consistency guarantees, while generative models supply visual realism and compensate for incomplete observations. I will demonstrate this framework across two core capabilities---generating 3D worlds from single images and simulating dynamics under physical actions---and show how it extends to real engineering problems in fluid and thermal analysis.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EHong-Xing (Koven) Yu (\u003Ca href=\u0022https:\/\/kovenyu.com\/\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/kovenyu.com\/\u0022\u003Ehttps:\/\/kovenyu.com\/\u003C\/a\u003E) is a PhD candidate at the Computer Science Department of Stanford University, advised by Prof. Jiajun Wu. His research focuses on physics-grounded world models. He is a recipient of the SIGGRAPH Asia Best Paper Award, the Stanford SoE Fellowship, the Qualcomm Fellowship, and the Meshy Fellowship, and a finalist of the NVIDIA Fellowship, the Meta Fellowship, the Jane Street Fellowship, and the Roblox Fellowship.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EWorld models that recreate and simulate the physical world hold transformative potential across robotics, entertainment, and engineering analysis. Achieving this vision requires both generating 3D environments from limited observations and predicting how they evolve under physical actions. Pure physical modeling provides guarantees and action control but demands complete state specification rarely available in practice; pure generative learning handles incomplete information to produce realistic content but lacks the structured representations needed for physical interaction and reasoning. This talk\u0026nbsp;presents physics-grounded world models, integrating these approaches to leverage their complementary strengths: physical representations provide the structured interface for actions and consistency guarantees, while generative models supply visual realism and compensate for incomplete observations. I will demonstrate this framework across two core capabilities---generating 3D worlds from single images and simulating dynamics under physical actions---and show how it extends to real engineering problems in fluid and thermal analysis.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Talk Title \u2014 Physically Grounded World Models"}],"uid":"36530","created_gmt":"2026-02-13 14:57:40","changed_gmt":"2026-02-18 16:14:12","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-16T11:00:00-05:00","event_time_end":"2026-02-16T12:00:00-05:00","event_time_end_last":"2026-02-16T12:00:00-05:00","gmt_time_start":"2026-02-16 16:00:00","gmt_time_end":"2026-02-16 17:00:00","gmt_time_end_last":"2026-02-16 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda 9th Floor Atrium","extras":[],"hg_media":{"679274":{"id":"679274","type":"image","title":"Yu_Koven.jpg","body":null,"created":"1770994714","gmt_created":"2026-02-13 14:58:34","changed":"1770994714","gmt_changed":"2026-02-13 14:58:34","alt":"Koven Yu","file":{"fid":"263409","name":"Yu_Koven.jpg","image_path":"\/sites\/default\/files\/2026\/02\/13\/Yu_Koven.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/13\/Yu_Koven.jpg","mime":"image\/jpeg","size":95169,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/13\/Yu_Koven.jpg?itok=PKN4NO9W"}}},"media_ids":["679274"],"groups":[{"id":"47223","name":"College of Computing"},{"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":""}},"688140":{"#nid":"688140","#data":{"type":"event","title":"SCS Faculty Candidate Seminar: Shanto Rahman","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title:\u003C\/strong\u003E \u003Cem\u003EReliable Software Testing with Language Models and Program Analysis\u0026nbsp;\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker: \u0026nbsp;\u003C\/strong\u003EShanto Rahman, Ph.D. Candidate, University of Texas at Austin\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ESoftware testing is one of the most scalable ways to check program correctness. However, nondeterminism in test execution and rapid code evolution can cause tests to break and produce false failures, where the same test may fail without any underlying bug. As these false failures accumulate, developers may start ignoring test results, allowing real bugs to reach production. My research aims to make software testing reliable by detecting, understanding, reproducing, and repairing such broken tests. In this talk, I first present my work on predicting and diagnosing the root causes of flaky tests using context-aware attribution, helping developers understand why nondeterministic failures occur while reducing runtime and memory cost. Next, I introduce automated repair techniques for both nondeterminism- and evolution-induced test breakage using intent-preserving dynamic instrumentation and generative AI. These techniques are evaluated on large-scale, real-world datasets, and achieve high repair success.\u202fI conclude by outlining a path from reliable test diagnosis and repair\u003Cstrong\u003E,\u003C\/strong\u003E extending these reliability foundations to modern computing systems for trustworthy, safe operation in practice.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EShanto Rahman is a final-year Ph.D. candidate at The University of Texas at Austin, advised by August Shi. Her research sits at the intersection of software engineering, program analysis, and AI, with a focus on making software testing reliable under nondeterminism and continuous code evolution. Her work has been published in top venues including ICSE, OOPSLA, ASE, and ICST. Shanto has gained industry experience through research internships at Google and Amazon Web Services (AWS). She has been recognized as an MIT EECS Rising Star and has received multiple UT Austin fellowships and awards.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ETalk Title: \u003Cem\u003EReliable Software Testing with Language Models and Program Analysis\u0026nbsp;\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003ESpeaker: Shanto Rahman, Ph.D. Candidate, University of Texas at Austin\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"SCS Faculty Candidate Seminar: Shanto Rahman"}],"uid":"36532","created_gmt":"2026-02-09 19:08:18","changed_gmt":"2026-02-11 20:25:26","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-26T11:00:00-05:00","event_time_end":"2026-02-26T12:00:00-05:00","event_time_end_last":"2026-02-26T12:00:00-05:00","gmt_time_start":"2026-02-26 16:00:00","gmt_time_end":"2026-02-26 17:00:00","gmt_time_end_last":"2026-02-26 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"KACB 1116","extras":[],"hg_media":{"679263":{"id":"679263","type":"image","title":"Headshot-2.jpg","body":null,"created":"1770841497","gmt_created":"2026-02-11 20:24:57","changed":"1770841497","gmt_changed":"2026-02-11 20:24:57","alt":"photo of a woman","file":{"fid":"263396","name":"Headshot-2.jpg","image_path":"\/sites\/default\/files\/2026\/02\/11\/Headshot-2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/11\/Headshot-2.jpg","mime":"image\/jpeg","size":41472,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/11\/Headshot-2.jpg?itok=XhEHMnkl"}}},"media_ids":["679263"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"688157":{"#nid":"688157","#data":{"type":"event","title":"IC Spring Seminar Series with Chenfanfu Jiang","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EAs we move toward the era of physical AI systems that perceive, reason, and act, the demand for virtual worlds that behave like reality has never been higher. My work targets this challenge through \u0027Physically Grounded Visual Computing\u0027: a perspective that bridges high-fidelity computer graphics engines with modern 3D vision, generative AI, and robots. I will present our breakthroughs in robust graphical simulations, specifically showing how continuum mechanics and contact mechanics provide the mathematical guarantees needed to model complex phenomena, from glacial calving to tactile manipulation. Beyond dynamic simulations, I will discuss how we are fusing these engines with generative models, such as physics-informed 3D Gaussian Splatting, video diffusion, and 3D reconstruction models, to create digital twins that look photorealistic and act physically valid. We build towards a roadmap for using these physics-based world engines to generate synthetic data at scale and equip agents with the physical intuition they need to succeed in the real world.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EChenfanfu Jiang (PhD\u201915) is a Professor of Mathematics and the director of the Artificial Intelligence and Visual Computing (AIVC) Lab at UCLA. He primarily works on computer graphics and its interdisciplinary synergies with 3D vision, generative AI and physical AI. He has led the development of widely-adopted simulators with Particle-In-Cell, Material Point, and Incremental Potential Contact methods. He received the dissertation award from UCLA, NSF CAREER, and multiple faculty awards from Amazon, Style3D, and Sony, as well as best paper awards\/honorable mentions at SIGGRAPH, SCA, MIG, ICRA, and IROS.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EAs we move toward the era of physical AI systems that perceive, reason, and act, the demand for virtual worlds that behave like reality has never been higher. My work targets this challenge through \u0027Physically Grounded Visual Computing\u0027: a perspective that bridges high-fidelity computer graphics engines with modern 3D vision, generative AI, and robots. I will present our breakthroughs in robust graphical simulations, specifically showing how continuum mechanics and contact mechanics provide the mathematical guarantees needed to model complex phenomena, from glacial calving to tactile manipulation. Beyond dynamic simulations, I will discuss how we are fusing these engines with generative models, such as physics-informed 3D Gaussian Splatting, video diffusion, and 3D reconstruction models, to create digital twins that look photorealistic and act physically valid. We build towards a roadmap for using these physics-based world engines to generate synthetic data at scale and equip agents with the physical intuition they need to succeed in the real world.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EChenfanfu Jiang (PhD\u201915) is a Professor of Mathematics and the director of the Artificial Intelligence and Visual Computing (AIVC) Lab at UCLA. He primarily works on computer graphics and its interdisciplinary synergies with 3D vision, generative AI and physical AI. He has led the development of widely-adopted simulators with Particle-In-Cell, Material Point, and Incremental Potential Contact methods. He received the dissertation award from UCLA, NSF CAREER, and multiple faculty awards from Amazon, Style3D, and Sony, as well as best paper awards\/honorable mentions at SIGGRAPH, SCA, MIG, ICRA, and IROS.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Talk Title \u2014 Physically Grounded Visual Computing: Synergizing Computer Graphics"}],"uid":"36530","created_gmt":"2026-02-10 15:33:13","changed_gmt":"2026-02-10 19:17:48","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-11T11:00:00-05:00","event_time_end":"2026-02-11T12:00:00-05:00","event_time_end_last":"2026-02-11T12:00:00-05:00","gmt_time_start":"2026-02-11 16:00:00","gmt_time_end":"2026-02-11 17:00:00","gmt_time_end_last":"2026-02-11 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"CODA 9th Floor Atrium","extras":[],"hg_media":{"679237":{"id":"679237","type":"image","title":"Jiang_Chenfanfu.jpg","body":null,"created":"1770737739","gmt_created":"2026-02-10 15:35:39","changed":"1770737739","gmt_changed":"2026-02-10 15:35:39","alt":"Chenfanfu Jiang","file":{"fid":"263370","name":"Jiang_Chenfanfu.jpg","image_path":"\/sites\/default\/files\/2026\/02\/10\/Jiang_Chenfanfu.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/10\/Jiang_Chenfanfu.jpg","mime":"image\/jpeg","size":625265,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/10\/Jiang_Chenfanfu.jpg?itok=e00DgxCY"}}},"media_ids":["679237"],"groups":[{"id":"47223","name":"College of Computing"},{"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":""}},"688138":{"#nid":"688138","#data":{"type":"event","title":"SCS Guest Seminar: Sourav Chakraborty","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title:\u003C\/strong\u003E Testing vs Estimation for Index-Invariant Properties in the Huge Object Model\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker: \u0026nbsp;\u003C\/strong\u003ESourav Chakraborty, Professor, Indian Statistical Institute\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EThe problem of testing whether an input satisfies a given property can be significantly easier than estimating the input\u2019s distance from having that property. However, for certain classes of properties, these tasks may be quite similar.\u003C\/p\u003E\u003Cp\u003EOne of the newer models for testing distribution properties is the huge object model, introduced by Goldreich and Ron in 2023. In this talk, we investigate the query complexity of testing index-invariant properties within this model. We adapt Szemer\u00e9di\u2019s regularity method to this setting and prove that, for index-invariant properties, constant query testability implies constant-query estimability.\u003C\/p\u003E\u003Cp\u003EThis talk is based on the following works:\u003C\/p\u003E\u003Cp\u003E1. \u201cTesting vs Estimation for Index-Invariant Properties in the Huge Object\u003C\/p\u003E\u003Cp\u003EModel,\u201d joint work with Eldar Fischer, Arijit Ghosh, Amit Levi, Gopinath Mishra,\u003C\/p\u003E\u003Cp\u003Eand Sayantan Sen, STOC 2025.\u003C\/p\u003E\u003Cp\u003E2. \u201cTesting of Index-Invariant Properties in the Huge Object Model,\u201d joint work\u003C\/p\u003E\u003Cp\u003Ewith Eldar Fischer, Arijit Ghosh, Gopinath Mishra, and Sayantan Sen, COLT 2023\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ESourav Chakraborty is a Professor in the Advanced Computing and Microelectronics Unit (ACMU) of the Computer and Communication Sciences Division (CCSD) at the Indian Statistical Institute (ISI), Kolkata, India. Before joining ISI in July 2018, he was a faculty member at the Chennai Mathematical Institute, India, from September 2010. He completed his PhD in Computer Science in June 2008 at the University of Chicago under the supervision of Prof. L\u00e1szl\u00f3 Babai and did postdoctoral stints at Technion, Israel, and CWI, Amsterdam.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cem\u003ETesting vs Estimation for Index-Invariant Properties in the Huge Object Model\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003ESourav Chakraborty, Professor, Indian Statistical Institute\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"SCS Guest Seminar: Sourav Chakraborty"}],"uid":"36532","created_gmt":"2026-02-09 18:59:04","changed_gmt":"2026-02-09 19:02:18","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-13T11:00:00-05:00","event_time_end":"2026-02-13T12:00:00-05:00","event_time_end_last":"2026-02-13T12:00:00-05:00","gmt_time_start":"2026-02-13 16:00:00","gmt_time_end":"2026-02-13 17:00:00","gmt_time_end_last":"2026-02-13 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"KACB 3402","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"688128":{"#nid":"688128","#data":{"type":"event","title":"SCS Faculty Candidate Seminar: Courtney Miller","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title:\u003C\/strong\u003E Navigating\u0026nbsp;Sociotechnical Disruptions in Software Engineering\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker: \u0026nbsp;\u003C\/strong\u003ECourtney Miller,\u0026nbsp;Ph.D.\u0026nbsp;Candidate, Carnegie Mellon University\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ESoftware development is shaped by constant disruption\u2014from open-source dependency abandonment to generative AI (GenAI) tools fundamentally reshaping how code is written.\u0026nbsp;\u003Cbr\u003E\u0026nbsp;\u003Cbr\u003EIn this talk,\u0026nbsp;I\u0027ll\u0026nbsp;present two lines of work, each examining a different disruption. First,\u0026nbsp;I\u0027ll\u0026nbsp;share my work on the disruption of\u0026nbsp;open source\u0026nbsp;dependency abandonment, revealing the unsupported challenges developers face when\u0026nbsp;identifying\u0026nbsp;and responding to abandonment,\u0026nbsp;identifying\u0026nbsp;factors that support successful downstream response, and\u0026nbsp;demonstrating\u0026nbsp;how theory-driven LLM-based systems can make those risks more visible. Second, I\u2019ll present findings from my recent collaboration with Microsoft Research about the disruption of GenAI adoption on development teams, demonstrating why adoption succeeds for some developers but stalls for others in seemingly similar contexts, showing the amplification effect organizational support mechanisms can have, and introducing the Productivity Pressure Paradox: a dynamic where increased productivity expectations without corresponding support can actually prevent developers from building the skills that would deliver those gains.\u0026nbsp;\u003Cbr\u003E\u0026nbsp;\u003Cbr\u003EFinally,\u0026nbsp;I\u2019ll\u0026nbsp;outline my research vision for helping developers\u0026nbsp;anticipate\u0026nbsp;and navigate the disruptions of tomorrow\u2014from building AI-powered tools for software supply chain resilience to studying how GenAI is reshaping development team practices and processes.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ECourtney Miller is a Software Engineering Ph.D. Candidate in the School of Computer Science at Carnegie Mellon University, co-advised by Bogdan Vasilescu and Christian K\u00e4stner. Her research examines how developers navigate technological disruptions\u2014from dependency abandonment threatening\u0026nbsp;open source\u0026nbsp;software supply chain sustainability and security to generative AI adoption reshaping development workflows.\u0026nbsp;\u003Cbr\u003E\u0026nbsp;\u003Cbr\u003EHer empirical approach combines human-centered qualitative techniques with large-scale data-driven analysis, modeling, and visualization to inform the development of\u0026nbsp;theoretically-grounded\u0026nbsp;insights and practice-driven tooling solutions. As part of the Secure Software Supply Chain Center (S3C2), her work has informed security practices through contributions to federal agency and industry supply chain security summits.\u0026nbsp;\u003Cbr\u003E\u0026nbsp;\u003Cbr\u003ECourtney has earned three ACM SIGSOFT Distinguished Paper Awards at the International Conference on Software Engineering (ICSE) and an NSF Graduate Research Fellowship. She has conducted two research internships at Microsoft Research. She holds a B.A. with honors in Computer Science and Statistics from New College of Florida. In her free time, she enjoys indoor cycling and leisurely walks with her 14-year-old toy poodle Chanel.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cem\u003ENavigating\u0026nbsp;Sociotechnical Disruptions in Software Engineering\u0026nbsp;\u003C\/em\u003E\u003Cbr\u003ECourtney Miller,\u0026nbsp;Ph.D.\u0026nbsp;Candidate, Carnegie Mellon University\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"SCS Faculty Candidate Seminar: Courtney Miller"}],"uid":"36532","created_gmt":"2026-02-09 17:11:54","changed_gmt":"2026-02-09 17:14:37","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-12T11:00:00-05:00","event_time_end":"2026-02-12T12:00:00-05:00","event_time_end_last":"2026-02-12T12:00:00-05:00","gmt_time_start":"2026-02-12 16:00:00","gmt_time_end":"2026-02-12 17:00:00","gmt_time_end_last":"2026-02-12 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"KACB 2447","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"688104":{"#nid":"688104","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Yuka Ikarashi","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EYuka Ikarashi, Ph.D. Candidate from MIT\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, February 17, 2026 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 114 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/m7KfgEEVWV581bxD9\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ECoffee and snacks provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EUncompromising Performance with Exocompilation\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;Performance is the currency of modern computing. Achieving peak throughput on fast\u2011evolving accelerators demands more control than today\u0027s compilers provide. I will present Exo and the Exocompilation paradigm: a user\u2011schedulable programming language that shifts two responsibilities traditionally hard\u2011coded in compilers--hardware backends and optimization strategies--into safe, extensible user libraries. In Exo, optimizations are expressed as verified rewrites that guarantee functional equivalence, and low\u2011level primitives (e.g., explicit instruction selection, GPU asynchrony) give programmers precise control. This design enables targeting CPUs, GPUs, and matrix engines, and supports concise, reusable scheduling libraries that match or surpass the performance of state-of-the-art libraries such as cuBLAS and MKL. Exo\u2011generated kernels already ship at scale, including on Apple devices.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Yuka Ikarashi is a sixth-year Ph.D. candidate at MIT CSAIL. She received her M.S. from MIT in 2022 and her B.S. from the University of Tokyo in 2020. Passionate about compilers and programming languages for high-performance computing, she created the Exo programming language. She has previously worked at Apple, Amazon, and CERN, applying her research to various accelerators and applications. She has been awarded the Quad Fellowship, the Masason Foundation Fellowship, the Funai Foundation Fellowship, the ML and Systems Rising Stars Award, and the Rising Stars in EECS Award. Originally from Tokyo, Japan, she is an avid traveler and has visited 36 countries.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EYuka Ikarashi, Ph.D. Candidate from MIT\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, February 17, 2026 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 114 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/m7KfgEEVWV581bxD9\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EUncompromising Performance with Exocompilation\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Uncompromising Performance with Exocompilation"}],"uid":"36319","created_gmt":"2026-02-09 13:31:29","changed_gmt":"2026-02-09 13:35:22","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-17T11:00:00-05:00","event_time_end":"2026-02-17T12:00:00-05:00","event_time_end_last":"2026-02-17T12:00:00-05:00","gmt_time_start":"2026-02-17 16:00:00","gmt_time_end":"2026-02-17 17:00:00","gmt_time_end_last":"2026-02-17 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":["free_food"],"hg_media":{"679221":{"id":"679221","type":"image","title":"Yuka-Ikarashi.jpeg","body":null,"created":"1770644046","gmt_created":"2026-02-09 13:34:06","changed":"1770644046","gmt_changed":"2026-02-09 13:34:06","alt":"CSE Faculty Candidate Seminar Yuka Ikarashi","file":{"fid":"263354","name":"Yuka-Ikarashi.jpeg","image_path":"\/sites\/default\/files\/2026\/02\/09\/Yuka-Ikarashi.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/09\/Yuka-Ikarashi.jpeg","mime":"image\/jpeg","size":31342,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/09\/Yuka-Ikarashi.jpeg?itok=LWazggiU"}}},"media_ids":["679221"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ESophie McGivern \u0026nbsp;\u003Cbr\u003Esmcgivern3@gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"687348":{"#nid":"687348","#data":{"type":"event","title":"School of CSE Seminar Series: Carl Yang","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Carl Yang, assistant professor at Emory University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;February 13, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;B. Aditya Prakash\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EExpediting Next-Generation AI for Health via KG and LLM Co-Learning\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Large language models (LLM) have brought disruptive progress to information technology from accessing data to performing analytical tasks. While demonstrating unprecedented capabilities, LLMs have been found unreliable in tasks requiring factual knowledge and rigorous reasoning, posing critical challenges in domains such as healthcare. Knowledge graphs (KG) have been widely used for explicitly organizing and indexing biomedical knowledge, but the quality and coverage of KG are hard to scale up given the notoriously complex and noisy healthcare data with multiple modalities from multiple institutions. Existing approaches show promises in combining LLMs and KGs to enhance each other, but they do not study the techniques in real healthcare contexts and scenarios. In this talk, I will introduce our research vision and agenda towards KG-LLM co-learning for healthcare, followed by success examples from our recent exploration on LLM-aided KG construction, KG-guided LLM enhancement, and federated multi-agent systems. I will conclude the talk with discussions on future directions that can benefit from further collaborations with researchers interested in data mining or biomedical informatics in general.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Carl Yang is an Assistant Professor of Computer Science at Emory University, jointly appointed in the Rollins School of Public Health and Nell Hodgson Woodruff School of Nursing. He received his Ph.D. in Computer Science at University of Illinois, Urbana-Champaign in 2020, and B.Eng. in Computer Science and Engineering at Zhejiang University in 2014. His research areas span data mining, deep learning, multimodality foundation models and trustworthy AI, with applications in graph analytics, neuroscience, biomedicine and healthcare. Carl\u0027s research results have led to 250+ peer-reviewed publications in top venues across AI\/ML and medicine\/healthcare. He serves as the Organizer of Health Day and Inaugural Program Chair of AI4Sciences in KDD, and the Chair-Elect of AMIA KDDM Working Group. He is also a 1% NIH\/CDC Grant Awardee in 2025, and a recipient of the ACM SIGKDD Rising Star Award in 2025 (one winner a year in the world), NSF CAREER Award in 2025, NIH K25 (Career) Award in 2023, and multiple Best Paper Awards such as of MedInfo 2025, KDD Health Day 2022, ML4H 2022, and ICDM 2020.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Carl Yang, assistant professor at Emory University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;February 13, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;B. Aditya Prakash\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EExpediting Next-Generation AI for Health via KG and LLM Co-Learning\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Emory University Assistant Professor Carl Yang"}],"uid":"36319","created_gmt":"2026-01-15 16:40:21","changed_gmt":"2026-02-06 13:37:12","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-13T14:00:00-05:00","event_time_end":"2026-02-13T15:00:00-05:00","event_time_end_last":"2026-02-13T15:00:00-05:00","gmt_time_start":"2026-02-13 19:00:00","gmt_time_end":"2026-02-13 20:00:00","gmt_time_end_last":"2026-02-13 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":[],"hg_media":{"679204":{"id":"679204","type":"image","title":"Carl-Yang-2.jpg","body":null,"created":"1770384994","gmt_created":"2026-02-06 13:36:34","changed":"1770384994","gmt_changed":"2026-02-06 13:36:34","alt":"CSE Seminar Carl Yang","file":{"fid":"263336","name":"Carl-Yang-2.jpg","image_path":"\/sites\/default\/files\/2026\/02\/06\/Carl-Yang-2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/06\/Carl-Yang-2.jpg","mime":"image\/jpeg","size":27449,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/06\/Carl-Yang-2.jpg?itok=JWBzIHQ2"}}},"media_ids":["679204"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"2305","name":"Emory University"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EB. Aditya Prakash (badityap@cc.gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"688065":{"#nid":"688065","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Jason Kim","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EJason Kim, Postdoctoral Fellow from Cornell University\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 12, 2026 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 114 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/m7KfgEEVWV581bxD9\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ECoffee and snacks provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EDiscovering Model Manifolds of Emergent Function from High-Dimensional Data\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Natural systems of many interacting constituents often organize to produce low-dimensional emergent behaviors. For example, hundreds of thousands of neurons in the brain coordinate to represent and navigate the three-dimensional world around us. Similar emergent behaviors arise in the tens of thousands of genes that coordinate to produce the cellular processes that maintain life. Recent technological advances now allow us to simultaneously measure the activity of tens of thousands of neurons in the brain, and the expression of every gene at the resolution of single cells, giving us the opportunity to model emergent function at an unprecedented scale. How do we take such high dimensional data and discover interpretable and quantitative models of the algorithms that brains use to navigate the world, and cells use to achieve life?\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIn this talk, I will discuss novel methods I am pioneering that combine differential geometry with deep neural networks to quantitatively model emergent behaviors using high-dimensional, high-throughput data from neuroscience and genomics. I will discuss fundamental problems of model identifiability (degeneracy in model parameters that fit the data), interpretability (mapping discovered emergent variables back to neuron and gene circuits), and predictive power, and how geometry-aware deep learning models ameliorate these problems to enable new discoveries. Finally, I will describe some of the discoveries that we have made using this method about how the neural code is structured and used to accurately represent and efficiently search mental models of the world in mice learning to navigate a maze.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E I am interested in discovering and modeling how articulate and intelligent biological function emerges from simpler parts. My undergraduate degree was in Biomedical Engineering at Duke University, where I did single-unit recordings in behaving macaques under electromagnetic stimulation. I did my graduate work in Bioengineering at the University of Pennsylvania designing articulate and intelligent biological function in mechanistic mathematical models ranging from cooperative energy landscapes in mechanical models of proteins, to mental simulation of video games in dynamical models of the brain. I am currently a postdoctoral fellow in Theoretical Physics, Neurotech, and AI for Science at Cornell University developing novel techniques to discover quantitative, interpretable, and predictive models of the algorithms that brains use to navigate physical and conceptual spaces, and cells use to produce life.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EJason Kim, Postdoctoral Fellow from Cornell University\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 12, 2026 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 114 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/m7KfgEEVWV581bxD9\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EDiscovering Model Manifolds of Emergent Function from High-Dimensional Data\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Discovering Model Manifolds of Emergent Function from High-Dimensional Data"}],"uid":"36319","created_gmt":"2026-02-06 13:30:58","changed_gmt":"2026-02-06 13:34:04","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-12T11:00:00-05:00","event_time_end":"2026-02-12T12:00:00-05:00","event_time_end_last":"2026-02-12T12:00:00-05:00","gmt_time_start":"2026-02-12 16:00:00","gmt_time_end":"2026-02-12 17:00:00","gmt_time_end_last":"2026-02-12 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":["free_food"],"hg_media":{"679203":{"id":"679203","type":"image","title":"Jason-Kim.jpg","body":null,"created":"1770384761","gmt_created":"2026-02-06 13:32:41","changed":"1770384761","gmt_changed":"2026-02-06 13:32:41","alt":"CSE Faculty Candidate Seminar Jason Kim","file":{"fid":"263335","name":"Jason-Kim.jpg","image_path":"\/sites\/default\/files\/2026\/02\/06\/Jason-Kim.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/06\/Jason-Kim.jpg","mime":"image\/jpeg","size":52963,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/06\/Jason-Kim.jpg?itok=WegqPYho"}}},"media_ids":["679203"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ESophie McGivern \u0026nbsp;\u003Cbr\u003Esmcgivern3@gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"688015":{"#nid":"688015","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Jingfeng Wu","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EJingfeng Wu, Postdoctoral Fellow from UC Berkeley\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 19, 2026 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 230 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/m7KfgEEVWV581bxD9\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ECoffee and snacks provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ETowards a Less Conservative Theory of Machine Learning: Unstable Optimization and Implicit Regularization\u003C\/p\u003E\u003Cp\u003EAbstract: Deep learning\u2019s empirical success challenges the \u201cconservative\u0022 nature of classical optimization and statistical learning theories. Classical theory mandates small stepsizes for training stability and explicit regularization for complexity control. Yet, deep learning leverages mechanisms that thrive beyond these traditional boundaries. In this talk, I present a research program dedicated to building a less conservative theoretical foundation by demystifying two such mechanisms:\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E1. \u003Cstrong\u003EUnstable Optimization\u003C\/strong\u003E: I show that large stepsizes, despite causing local oscillations, accelerate the global convergence of gradient descent (GD) in overparameterized logistic regression.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E2. \u003Cstrong\u003EImplicit Regularization\u003C\/strong\u003E: I show that the implicit regularization of early-stopped GD statistically dominates explicit $\\ell_2$-regularization across all linear regression problem instances.\u003C\/p\u003E\u003Cp\u003EI further showcase how the theoretical principles lead to practice-relevant algorithmic designs (such as \u003Cem\u003ESeesaw\u003C\/em\u003E for reducing serial steps in large language model pretraining). I conclude by outlining a path towards a rigorous understanding of modern learning paradigms.\u003C\/p\u003E\u003Cp\u003EBio: Jingfeng Wu is a postdoctoral fellow at the Simons Institute for the Theory of Computing at UC Berkeley. His research focuses on deep learning theory, optimization, and statistical learning. He earned his Ph.D. in Computer Science from Johns Hopkins University in 2023. Prior to that, he received a B.S. in Mathematics (2016) and an M.S. in Applied Mathematics (2019), both from Peking University.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EJingfeng Wu, Postdoctoral Fellow from UC Berkeley\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 19, 2026 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 230 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/m7KfgEEVWV581bxD9\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ETowards a Less Conservative Theory of Machine Learning: Unstable Optimization and Implicit Regularization\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Towards a Less Conservative Theory of Machine Learning: Unstable Optimization and Implicit Regularization"}],"uid":"36319","created_gmt":"2026-02-04 14:50:55","changed_gmt":"2026-02-04 14:54:26","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-19T11:00:00-05:00","event_time_end":"2026-02-19T12:00:00-05:00","event_time_end_last":"2026-02-19T12:00:00-05:00","gmt_time_start":"2026-02-19 16:00:00","gmt_time_end":"2026-02-19 17:00:00","gmt_time_end_last":"2026-02-19 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":["free_food"],"hg_media":{"679183":{"id":"679183","type":"image","title":"Jingfeng-Wu.png","body":null,"created":"1770216786","gmt_created":"2026-02-04 14:53:06","changed":"1770216786","gmt_changed":"2026-02-04 14:53:06","alt":"CSE Faculty Candidate Seminar Jingfeng Wu","file":{"fid":"263313","name":"Jingfeng-Wu.png","image_path":"\/sites\/default\/files\/2026\/02\/04\/Jingfeng-Wu.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/04\/Jingfeng-Wu.png","mime":"image\/png","size":122969,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/04\/Jingfeng-Wu.png?itok=CrwAP1wR"}}},"media_ids":["679183"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ESophie McGivern \u0026nbsp;\u003Cbr\u003Esmcgivern3@gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"687841":{"#nid":"687841","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Aimee Maurais","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EAimee Maurais, Ph.D. Candidate from MIT\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 5, 2026 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 114 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/m7KfgEEVWV581bxD9\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ECoffee and snacks provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EDesigning Dynamic Measure Transport for Density-Driven Sampling\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Sampling from a target probability distribution is fundamental to modern computational science and machine learning. Sampling is the essence of Monte Carlo integration, enables uncertainty quantification in Bayesian inference, and underlies generative models that have the ability to synthesize convincing text, images, and far beyond. A powerful, emerging approach to sampling is dynamic measure transport (DMT): the idea is to design an ordinary or stochastic differential equation that evolves samples from a tractable reference distribution (e.g., a Gaussian) to the desired target distribution. DMT is state-of-the-art in generative modeling and underlies techniques such as diffusion models and flow-matching, but DMT pipelines for density-driven sampling tasks, as arising in computational chemistry and Bayesian inference, are significantly less developed. In this talk, I will discuss my work to make density-driven DMT a reality via: (1) development of new, gradient-free particle systems for Bayesian sampling, (2) principled design of DMT via PDE-constrained optimization, and (3) scalability through the exploitation of sparse conditional dependence structure. I will describe how these efforts will enable new DMT approaches to complex sampling problems--such as ensemble data assimilation, in which the prior is only known through samples---and sketch future work on stochastic inverse problems, in which an unknown distribution must be recovered from indirect measurements.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Aimee Maurais is in the final year of her Computational Science and Engineering Ph.D. at MIT. Prior to beginning her graduate work, Aimee earned bachelor\u2019s degrees in Mathematics and Computational Modeling and Data Analytics from Virginia Tech and spent 1.5 years on the technical staff at MIT Lincoln Laboratory. In her research, Aimee makes use of geometry and structure to develop principled computational methods for probabilistic modeling and inference, and her current focus is on dynamic measure transport for sampling. Aimee\u2019s work is supported by fellowships from the National Science Foundation and Google.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EAimee Maurais, Ph.D. Candidate from MIT\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 5, 2026 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 114 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/m7KfgEEVWV581bxD9\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EDesigning Dynamic Measure Transport for Density-Driven Sampling\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Designing Dynamic Measure Transport for Density-Driven Sampling"}],"uid":"36319","created_gmt":"2026-01-30 14:42:46","changed_gmt":"2026-01-30 14:46:20","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-05T11:00:00-05:00","event_time_end":"2026-02-05T12:00:00-05:00","event_time_end_last":"2026-02-05T12:00:00-05:00","gmt_time_start":"2026-02-05 16:00:00","gmt_time_end":"2026-02-05 17:00:00","gmt_time_end_last":"2026-02-05 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":["free_food"],"hg_media":{"679134":{"id":"679134","type":"image","title":"Aimee-Maurais.jpg","body":null,"created":"1769784260","gmt_created":"2026-01-30 14:44:20","changed":"1769784260","gmt_changed":"2026-01-30 14:44:20","alt":"CSE Faculty Candidate Seminar Aimee Maurais","file":{"fid":"263256","name":"Aimee-Maurais.jpg","image_path":"\/sites\/default\/files\/2026\/01\/30\/Aimee-Maurais.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/01\/30\/Aimee-Maurais.jpg","mime":"image\/jpeg","size":29520,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/01\/30\/Aimee-Maurais.jpg?itok=qu9GB0QU"}}},"media_ids":["679134"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ESophie McGivern \u0026nbsp;\u003Cbr\u003Esmcgivern3@gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"687495":{"#nid":"687495","#data":{"type":"event","title":"CoC GradWomen+ Semester Kickoff with Boba","body":[{"value":"\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003ECelebrate kick off the semester by enjoying boba tea with\u0026nbsp;fellow members of the CoC Association for Graduate Women \u0026amp; Gender Diversity! Please RSVP so we can have tea for everyone :)\u003C\/p\u003E\u003Cp\u003EWant to get involved in our org? \u003Ca href=\u0022https:\/\/forms.office.com\/r\/sAc9WJjaLv\u0022\u003EJoin our Slack and mailing list\u003C\/a\u003E!\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWHEN:\u0026nbsp;\u003C\/strong\u003EJanuary 23rd, 4:00-5:30pm\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWHERE:\u0026nbsp;\u003C\/strong\u003ETechnology Square Researching Building (TSRB) IC Cafe (Room 204)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWHO:\u0026nbsp;\u003C\/strong\u003ECoC graduate student women, gender minorities, and allies\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ECelebrate kick off the semester by enjoying boba tea with\u0026nbsp;fellow members\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Celebrate kick off the semester by enjoying boba tea with\u00a0fellow members"}],"uid":"27469","created_gmt":"2026-01-20 19:00:53","changed_gmt":"2026-01-20 19:02:33","author":"Kristen Bailey","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-01-23T16:00:00-05:00","event_time_end":"2026-01-23T17:30:00-05:00","event_time_end_last":"2026-01-23T17:30:00-05:00","gmt_time_start":"2026-01-23 21:00:00","gmt_time_end":"2026-01-23 22:30:00","gmt_time_end_last":"2026-01-23 22:30:00","rrule":null,"timezone":"America\/New_York"},"location":"TSRB IC Cafe (2nd floor room 204), 85 5th St NW ","extras":["free_food"],"related_links":[{"url":"https:\/\/gatech.campuslabs.com\/engage\/organization\/coc-gradwomen","title":"COC Grad Women on Engage"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1182","name":"General"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1791","name":"Student sponsored"}],"invited_audience":[{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:fryan6@gatech.edu\u0022\u003E\u003Cstrong\u003EFiona Ryan\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"687433":{"#nid":"687433","#data":{"type":"event","title":"Computing for Good: C4G Perspectives ","body":[{"value":"\u003Cp\u003E12:30 p.m. Lunch\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;1 p.m. \u0022Modernizing C4G BLIS: The Road to BLIS 4.0\u0022\u003C\/p\u003E\u003Cp\u003EMitchell Rysavy (Senior Software Engineer, Microsoft)\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;1:30 p.m.\u0022Computing for Good in an Increasingly Bad World\u0022\u003C\/p\u003E\u003Cp\u003EMichael Best (Professor, School of International Affairs and School of Interactive Computing, Georgia Tech)\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;2 p.m. \u0022Disaster Response in Rural Communities\u0022\u003C\/p\u003E\u003Cp\u003EJustin McLellan (Software Engineering Manager, Crexi)\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;2:30 p.m. \u0022HandS together: Innovation and Collaboration for Greater Impact\u0022\u003C\/p\u003E\u003Cp\u003EProtip Biswas (Vice President, United Way Regional Commission on Homelessness)\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E12:30 p.m. Lunch\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;1 p.m. \u0022Modernizing C4G BLIS: The Road to BLIS 4.0\u0022\u003C\/p\u003E\u003Cp\u003EMitchell Rysavy (Senior Software Engineer, Microsoft)\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;1:30 p.m.\u0022Computing for Good in an Increasingly Bad World\u0022\u003C\/p\u003E\u003Cp\u003EMichael Best (Professor, School of International Affairs and School of Interactive Computing, Georgia Tech)\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;2 p.m. \u0022Disaster Response in Rural Communities\u0022\u003C\/p\u003E\u003Cp\u003EJustin McLellan (Software Engineering Manager, Crexi)\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;2:30 p.m. \u0022HandS together: Innovation and Collaboration for Greater Impact\u0022\u003C\/p\u003E\u003Cp\u003EProtip Biswas (Vice President, United Way Regional Commission on Homelessness)\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Join Computing for Good in learning how computing can better society."}],"uid":"36532","created_gmt":"2026-01-20 15:53:02","changed_gmt":"2026-01-20 15:55:59","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-01-22T12:30:00-05:00","event_time_end":"2026-01-22T15:00:00-05:00","event_time_end_last":"2026-01-22T15:00:00-05:00","gmt_time_start":"2026-01-22 17:30:00","gmt_time_end":"2026-01-22 20:00:00","gmt_time_end_last":"2026-01-22 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus Advanced Computing Building 1116","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"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\u003ESantosh Vempala, vempala@cc.gatech.edu\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"686982":{"#nid":"686982","#data":{"type":"event","title":"School of CSE Seminar Series: Sherry Yang","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Sherry Yang, assistant professor at New York University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;January 16, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Bo Dai\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003ELearning World Models and Agents for High-Cost Environments\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E While neural networks have achieved superhuman performance in domains with low-cost simulations\u2014from AlphaGo to LLMs\u2014their application to the physical world is bottlenecked by a fundamental challenge: high-cost interactions. In fields like robotics, ML engineering, and the natural sciences, every action or experiment is expensive and time-consuming. This talk outlines strategies for building intelligent agents that learn efficiently despite these real-world constraints. We first address the physical world by showing how learned world models can serve as high-fidelity simulators for robotics, enabling extensive policy refinement before deployment on costly hardware. We then turn to complex engineering domains, where actions like running an ML program incur significant time delays, and discuss adaptations to reinforcement learning to make it robust for these long action settings. 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Theoretical advancements have traditionally relied on human insight into complex mathematics without a systematic way to explore ideas. I will talk about an emerging research direction in neuro-symbolic AI to systematize this exploration and discuss challenges in scaling this approach.\u003C\/p\u003E\u003Cp\u003EOnce you have a set of interesting theories, testing them in experiments, such as at the Large Hadron Collider, is yet another computational and engineering challenge. High-dimensional data are generated at 50 MHz (40 TB\/s), and we need to make decisions using efficient hardware. I will also discuss how neural inference techniques let us maximally use the high-dimensional data and current efforts to make these algorithms compute-efficient.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EAishik Ghosh is an assistant professor in the School of Physics at Georgia Tech with a focus on developing AI methods to accelerate fundamental physics and astrophysics. 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For robust scientific applications, Dr. Ghosh focuses on uncertainty quantification, interpretability, and verifiability of AI algorithms, targeting publications in physics journals and ML conferences.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Aishik Ghosh, assistant professor at Georgia Tech\u0027s School of Physics\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;November 21, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Edmond Chow\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EAccelerating Fundamental Physics Research with AI: From Designing Theories to Testing Them in Experiments\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Georgia Tech School of Physics Assistant Professor Aishik Ghosh"}],"uid":"36319","created_gmt":"2025-09-29 15:48:05","changed_gmt":"2025-11-20 13:26:24","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-11-21T14:00:00-05:00","event_time_end":"2025-11-21T15:00:00-05:00","event_time_end_last":"2025-11-21T15:00:00-05:00","gmt_time_start":"2025-11-21 19:00:00","gmt_time_end":"2025-11-21 20:00:00","gmt_time_end_last":"2025-11-21 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":[],"hg_media":{"678178":{"id":"678178","type":"image","title":"Aishik-Ghosh.png","body":null,"created":"1759160958","gmt_created":"2025-09-29 15:49:18","changed":"1759160958","gmt_changed":"2025-09-29 15:49:18","alt":"Aishik Ghosh CSE","file":{"fid":"262182","name":"Aishik-Ghosh.png","image_path":"\/sites\/default\/files\/2025\/09\/29\/Aishik-Ghosh.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/09\/29\/Aishik-Ghosh.png","mime":"image\/png","size":3553180,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/09\/29\/Aishik-Ghosh.png?itok=2x1HEd_g"}}},"media_ids":["678178"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EEdmond Chow (echow@cc.gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"686234":{"#nid":"686234","#data":{"type":"event","title":"\u0022Technology Design and Ethics in India\u0022 Information Session","body":[{"value":"\u003Cp\u003EJoin us for our first\u003Cstrong\u003E\u0026nbsp;Info Session on November 18 at 11 am\u0026nbsp;\u003C\/strong\u003Ein\u003Cstrong\u003E\u0026nbsp;Klaus 1212.\u003C\/strong\u003E\u0026nbsp;The new program,\u003Cstrong\u003E\u0026nbsp;\u0022Technology Design and Ethics in India,\u0022\u0026nbsp;\u003C\/strong\u003Eis a\u0026nbsp;\u003Cstrong\u003E6-week program\u003C\/strong\u003E with \u003Cstrong\u003E4 weeks of instruction in Atlanta\u003C\/strong\u003E\u0026nbsp;and\u003Cstrong\u003E\u0026nbsp;2 weeks of instruction in Mumbai\u003C\/strong\u003E. The 2 foundational Computer Science courses of the program will be taught by Georgia Tech CS faculty and Program Director, Naveena Karusala.\u0026nbsp;\u003C\/p\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Ch3\u003E\u003Cstrong\u003EProgram Courses:\u003C\/strong\u003E\u003C\/h3\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003ECS 4001 \u2013 Computing \u0026amp; Society (Ethics Credit) - \u003C\/strong\u003EStudents will critically examine how issues around technology such as globalization, bias, privacy, and others affect people worldwide.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003ECS 3751 \u2013 Intro to User Interface Design - \u003C\/strong\u003EStudents will explore culturally situated approaches to design and, through the course project, create an inventive design artifact.\u003C\/li\u003E\u003C\/ul\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003EJoin us to learn more details about this opportunity to earn credit for foundational courses while gaining intercultural experience.\u003C\/div\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EApplications \u003C\/strong\u003Eare\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003Enow open \u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fatlas.gatech.edu%2Findex.cfm%3FFuseAction%3DPrograms.ViewProgramAngular%26id%3D10313\u0026amp;data=05%7C02%7Ctara.berry%40cc.gatech.edu%7Ccba551394cb34f2cdb7a08de1ca899c8%7C482198bbae7b4b258b7a6d7f32faa083%7C1%7C0%7C638979708276911681%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C\u0026amp;sdata=gc10GYpcKVWl%2BqV%2FEfTCL%2FDw76OC7CLpt3S0d8AHOkY%3D\u0026amp;reserved=0\u0022 id=\u0022OWA42e19520-ca26-f5dc-96d2-f08de680adc6\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022Original URL: https:\/\/atlas.gatech.edu\/index.cfm?FuseAction=Programs.ViewProgramAngular\u0026amp;id=10313. Click or tap if you trust this link.\u0022\u003E\u003Cstrong\u003EHERE.\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E \u003C\/strong\u003EEmail indiaprogram@cc.gatech.edu for questions and to find out more about upcoming Info Sessions.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJoin us for our first\u003Cstrong\u003E\u0026nbsp;Info Session - November 18, 11 am,\u0026nbsp; Klaus 1212 for CoC\u0027s newest program, \u0022Technology Design and Ethics in India.\u0022 \u003C\/strong\u003EThe program will be a \u003Cstrong\u003E6-week program\u003C\/strong\u003E, with \u003Cstrong\u003E4 weeks of instruction in Atlanta\u003C\/strong\u003E\u0026nbsp;and\u003Cstrong\u003E\u0026nbsp;2 weeks of instruction in Mumbai\u003C\/strong\u003E. The 2 foundational Computer Science courses of the program, CS 4001 and CS 3751, will be taught by Georgia Tech CS faculty and Program Director, Naveena Karusala. We invite you to attend the info session to learn more details about this Summer \u002726 program.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Join us for an information session about the College of Computing\u0027s newest embedded program."}],"uid":"27393","created_gmt":"2025-11-05 20:50:42","changed_gmt":"2025-11-11 20:05:53","author":"TaraBerry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-11-18T11:00:00-05:00","event_time_end":"2025-11-18T12:00:00-05:00","event_time_end_last":"2025-11-18T12:00:00-05:00","gmt_time_start":"2025-11-18 16:00:00","gmt_time_end":"2025-11-18 17:00:00","gmt_time_end_last":"2025-11-18 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus Conference Room 1212","extras":[],"hg_media":{"678554":{"id":"678554","type":"image","title":"Mumbai.jpg","body":null,"created":"1762376584","gmt_created":"2025-11-05 21:03:04","changed":"1762376584","gmt_changed":"2025-11-05 21:03:04","alt":"Picture from Mumbia, India.","file":{"fid":"262606","name":"Mumbai.jpg","image_path":"\/sites\/default\/files\/2025\/11\/05\/Mumbai.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/11\/05\/Mumbai.jpg","mime":"image\/jpeg","size":170350,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/11\/05\/Mumbai.jpg?itok=f2oBL4tB"}}},"media_ids":["678554"],"related_links":[{"url":"https:\/\/atlas.gatech.edu\/index.cfm?FuseAction=Programs.ViewProgramAngular\u0026id=10313","title":"Learn more or apply here"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"id":"660383","name":"College of Computing International Programs"}],"categories":[],"keywords":[{"id":"193388","name":"Education Abroad, OIE, Office of International Education, Study Abroad, Scholarship, Fellowship"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194684","name":"Free"},{"id":"1788","name":"Other\/Miscellaneous"},{"id":"26411","name":"Training\/Workshop"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETara Berry, indiaprogram@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"685358":{"#nid":"685358","#data":{"type":"event","title":"School of CSE Seminar Series: Guannan Zhang","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Guannan Zhang, distinguished senior staff scientist at Oak Ridge National Laboratory\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;November 14, 2:00-3:00 p.m.\u0026nbsp;\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Peng Chen\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EGenerative Artificial Intelligence for Uncertainty Quantification\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Generative\u0026nbsp;artificial intelligence models, including variational autoencoders, normalizing flows, generative adversarial networks, and diffusion models, have dramatically advanced the realism and quality of generated images, text, and audio. Beyond media synthesis, these models hold great promise as powerful tools for probability density estimation and high-dimensional sampling, which are central to uncertainty quantification (UQ) tasks such as amortized Bayesian inference and data assimilation. However, while research on image and audio synthesis emphasizes producing high-quality individual samples, UQ applications demand accurate approximation of statistical quantities of interest rather than visually realistic samples. As a result, direct application of existing generative models to UQ problems can lead to biased approximations or unstable training. In this talk, I will introduce several new generative approaches tailored to UQ. These include training-free diffusion models for density estimation, a score-based nonlinear filter for data assimilation, and conditional diffusion models for amortized Bayesian inference. I will demonstrate their effectiveness across a range of tasks, including density estimation for unimodal and multimodal distributions, learning stochastic dynamical systems, parameter estimation via amortized inference, and scalable data assimilation for atmospheric models.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Dr.\u0026nbsp;Guannan Zhang is a Distinguished Staff Scientist in Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL). He earned my Ph.D. in applied mathematics at Florida State University in 2012. He joined ORNL in 2012 as the Householder fellow. He received the DOE Early Career Award in 2022. He has been holding a joint faculty appointment with the Department of Mathematics and Statistics at Auburn University since 2014, and a joint faculty appointment with Department of Mathematics at University of Tennessee since 2022. Guannan\u0027s research interests include high-dimensional approximation, uncertainty quantification, machine learning and artificial intelligence, stochastic methods for scientific inverse problems.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Guannan Zhang, distinguished senior staff scientist at Oak Ridge National Laboratory\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;November 14, 2:00-3:00 p.m.\u0026nbsp;\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Peng Chen\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EGenerative Artificial Intelligence for Uncertainty Quantification\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Guannan Zhang, distinguished senior staff scientist at Oak Ridge National Laboratory"}],"uid":"36319","created_gmt":"2025-09-29 15:43:28","changed_gmt":"2025-11-07 19:00:28","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-11-14T14:00:00-05:00","event_time_end":"2025-11-14T15:00:00-05:00","event_time_end_last":"2025-11-14T15:00:00-05:00","gmt_time_start":"2025-11-14 19:00:00","gmt_time_end":"2025-11-14 20:00:00","gmt_time_end_last":"2025-11-14 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":[],"hg_media":{"674837":{"id":"674837","type":"image","title":"Guannan Zhang.jpeg","body":null,"created":"1725559999","gmt_created":"2024-09-05 18:13:19","changed":"1725559999","gmt_changed":"2024-09-05 18:13:19","alt":"CSE Seminar Series","file":{"fid":"258401","name":"Guannan Zhang.jpeg","image_path":"\/sites\/default\/files\/2024\/09\/05\/Guannan%20Zhang.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/09\/05\/Guannan%20Zhang.jpeg","mime":"image\/jpeg","size":11470,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/09\/05\/Guannan%20Zhang.jpeg?itok=ejFnO5Js"}}},"media_ids":["674837"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EPeng Chen (pchen402@gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"686233":{"#nid":"686233","#data":{"type":"event","title":"Barcelona Summer 2026 Application Deadline Dec 1","body":[{"value":"\u003Cdiv\u003E\u003Cp\u003EWe invite you to study abroad this summer with the College of Computing! Take 12 GT credit hours while immersing yourself in the exciting environments of Barcelona. See below for information on program details and application info.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022http:\/\/cc.gatech.edu\/barcelona\u0022 title=\u0022http:\/\/cc.gatech.edu\/berlin\u0022\u003E\u003Cstrong\u003E2026 Barcelona Summer Program\u003C\/strong\u003E\u003C\/a\u003E course offerings include:\u003C\/p\u003E\u003Cul type=\u0022disc\u0022\u003E\u003Cli\u003ECS 2050 \u2013 Intro to Discrete Math for CS\u003C\/li\u003E\u003Cli\u003ECS 3750 \u2013 Human-Computer Interface Design \u0026amp; Evaluation\u003C\/li\u003E\u003Cli\u003ECS 4001 \u2013 Computing and Society\u0026nbsp;\u003Cstrong\u003E(Ethics credit)\u003C\/strong\u003E\u003C\/li\u003E\u003Cli\u003ECS 4400 \u2013 Intro to Database Systems\u003C\/li\u003E\u003Cli\u003ECS 4660 \u2013 Intro to Educational Technology\u003C\/li\u003E\u003Cli\u003ECS 4726 \u2013 Privacy, Technology, Policy, \u0026amp; Law \u003Cstrong\u003E(Ethics Credit)\u003C\/strong\u003E\u003C\/li\u003E\u003Cli\u003ECS 4803-EDG \u2013 Educational Game Design\u003C\/li\u003E\u003Cli\u003EARCH 3135 \u2013 City Literacy: What Makes Great Cities Great (Social Sciences Credit)\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EReview the attached flyer and email\u0026nbsp;\u003Ca href=\u0022mailto:barcelona@cc.gatech.edu\u0022 title=\u0022mailto:berlin@cc.gatech.edu\u0022\u003Ebarcelona@cc.gatech.edu\u003C\/a\u003E\u0026nbsp;for questions.\u0026nbsp;\u003Cstrong\u003EApplication deadline: December 1st\u003C\/strong\u003E\u0026nbsp;in\u0026nbsp;\u003Ca href=\u0022https:\/\/atlas.gatech.edu\/index.cfm?FuseAction=Programs.ViewProgramAngular\u0026amp;id=10013\u0022 title=\u0022https:\/\/atlas.gatech.edu\/index.cfm?FuseAction=Programs.ViewProgramAngular\u0026amp;id=10174\u0022\u003EAtlas\u003C\/a\u003E.\u003C\/p\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EApply to the Barcelona Summer 2026 program before our deadline Dec 1st! \u003Ca href=\u0022https:\/\/atlas.gatech.edu\/index.cfm?FuseAction=Programs.ViewProgramAngular\u0026amp;id=10013\u0022\u003EApply here!\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"2026 Barcelona Summer Program Application Deadline Dec 1st"}],"uid":"36662","created_gmt":"2025-11-05 20:46:55","changed_gmt":"2025-11-05 20:58:22","author":"ctatis3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-12-01T00:00:00-05:00","event_time_end":"2025-12-01T23:59:59-05:00","event_time_end_last":"2025-12-01T23:59:59-05:00","gmt_time_start":"2025-12-01 05:00:00","gmt_time_end":"2025-12-02 04:59:59","gmt_time_end_last":"2025-12-02 04:59:59","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"678553":{"id":"678553","type":"image","title":"BCN-2026-Flyer-Ver-A.png","body":null,"created":"1762376186","gmt_created":"2025-11-05 20:56:26","changed":"1762376186","gmt_changed":"2025-11-05 20:56:26","alt":"2026 Barcelona Flyer","file":{"fid":"262605","name":"BCN-2026-Flyer-Ver-A.png","image_path":"\/sites\/default\/files\/2025\/11\/05\/BCN-2026-Flyer-Ver-A.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/11\/05\/BCN-2026-Flyer-Ver-A.png","mime":"image\/png","size":7326963,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/11\/05\/BCN-2026-Flyer-Ver-A.png?itok=rPYE9qax"}}},"media_ids":["678553"],"related_links":[{"url":"https:\/\/atlas.gatech.edu\/index.cfm?FuseAction=Programs.ViewProgramAngular\u0026id=10013","title":"Barcelona Atlas Page"},{"url":"https:\/\/www.cc.gatech.edu\/barcelona","title":"CoC Barcelona Summer Program"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"id":"660383","name":"College of Computing International Programs"}],"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\u003Ebarcelona@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"686232":{"#nid":"686232","#data":{"type":"event","title":"Berlin Summer 2026 Application Deadline Dec 1","body":[{"value":"\u003Cdiv\u003E\u003Cp\u003EWe invite you to study abroad this summer with the College of Computing! Take 12 GT credit hours while immersing yourself in the exciting environments of Berlin. See below for information on program details and application info.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022http:\/\/cc.gatech.edu\/berlin\u0022 title=\u0022http:\/\/cc.gatech.edu\/berlin\u0022\u003E\u003Cstrong\u003E2026 Berlin Summer Program\u003C\/strong\u003E\u003C\/a\u003E course offerings include:\u003C\/p\u003E\u003Cul type=\u0022disc\u0022\u003E\u003Cli\u003ECS 2340 \u2013 Objects \u0026amp; Design\u003C\/li\u003E\u003Cli\u003ECS 2701 \u2013 Startup Lab\u003C\/li\u003E\u003Cli\u003ECS 3510 \u2013 Algorithm Design\u003C\/li\u003E\u003Cli\u003ECS 3600 - Intro to Artificial Intelligence\u003C\/li\u003E\u003Cli\u003ECS 4001 \u2013 Computing and Society\u0026nbsp;\u003Cstrong\u003E(Ethics credit)\u003C\/strong\u003E\u003C\/li\u003E\u003Cli\u003ECS 4400 \u2013 Intro to Database Systems\u003C\/li\u003E\u003Cli\u003ELMC 3262 \u2013 Performance Studies\u0026nbsp;\u003Cstrong\u003E(Humanities credit)\u003C\/strong\u003E\u003C\/li\u003E\u003Cli\u003ELMC 3314 \u2013 Technologies of Representation\u0026nbsp;\u003Cstrong\u003E(Humanities credit)\u003C\/strong\u003E\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EBerlin is a growing Tech Hub in Europe, home to innovative companies and research institutions, and host to tech meetups, hackathons, and conferences. With focus on entrepreneurship and start-up culture, this program is a great option if you are a CM major, if your CS Threads are Intelligence or Information-Internetworks, or if you\u2019re doing the Create-X: Idea-To-Protype Junior Design option.\u003C\/p\u003E\u003Cp\u003EReview the attached flyer and email\u0026nbsp;\u003Ca href=\u0022mailto:berlin@cc.gatech.edu\u0022 title=\u0022mailto:berlin@cc.gatech.edu\u0022\u003Eberlin@cc.gatech.edu\u003C\/a\u003E\u0026nbsp;for questions.\u0026nbsp;\u003Cstrong\u003EApplication deadline: December 1st\u003C\/strong\u003E\u0026nbsp;in\u0026nbsp;\u003Ca href=\u0022https:\/\/atlas.gatech.edu\/index.cfm?FuseAction=Programs.ViewProgramAngular\u0026amp;id=10174\u0022 title=\u0022https:\/\/atlas.gatech.edu\/index.cfm?FuseAction=Programs.ViewProgramAngular\u0026amp;id=10174\u0022\u003EAtlas\u003C\/a\u003E.\u003C\/p\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EApply to the Berlin Summer 2026 program before our deadline Dec 1st! \u003Ca href=\u0022https:\/\/atlas.gatech.edu\/index.cfm?FuseAction=Programs.ViewProgramAngular\u0026amp;id=10174\u0022\u003EApply here!\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"2026 Berlin Summer Program Application Deadline Dec 1st"}],"uid":"36662","created_gmt":"2025-11-05 20:34:51","changed_gmt":"2025-11-05 20:45:33","author":"ctatis3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-12-01T00:00:00-05:00","event_time_end":"2025-12-01T23:59:59-05:00","event_time_end_last":"2025-12-01T23:59:59-05:00","gmt_time_start":"2025-12-01 05:00:00","gmt_time_end":"2025-12-02 04:59:59","gmt_time_end_last":"2025-12-02 04:59:59","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"678552":{"id":"678552","type":"image","title":"Berlin-2026-Flyer-Ver-A.png","body":null,"created":"1762375257","gmt_created":"2025-11-05 20:40:57","changed":"1762375257","gmt_changed":"2025-11-05 20:40:57","alt":"Berlin 2026 Flyer","file":{"fid":"262604","name":"Berlin-2026-Flyer-Ver-A.png","image_path":"\/sites\/default\/files\/2025\/11\/05\/Berlin-2026-Flyer-Ver-A.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/11\/05\/Berlin-2026-Flyer-Ver-A.png","mime":"image\/png","size":655077,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/11\/05\/Berlin-2026-Flyer-Ver-A.png?itok=bAbgRywI"}}},"media_ids":["678552"],"related_links":[{"url":"https:\/\/atlas.gatech.edu\/index.cfm?FuseAction=Programs.ViewProgramAngular\u0026id=10174","title":"Berlin Atlas Page"},{"url":"https:\/\/www.cc.gatech.edu\/berlin","title":"CoC Berlin Summer Program"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"id":"660383","name":"College of Computing International Programs"}],"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\u003Eberlin@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"686194":{"#nid":"686194","#data":{"type":"event","title":"SCS Distinguished Lecture: Nitin Vaidya","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E Nitin Vaidya, professor at Georgetown University\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E Nov. 13 at 11 a.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E KACB 2443\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle: \u003C\/strong\u003EDistributed Optimization and Consensus in the Presence of Adversarial Agents\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Due to their many potential applications, there is a rich history of research on distributed consensus and distributed optimization. Distributed consensus requires the agents in the system to reach agreement on an output as a function of the inputs of the various agents. Distributed optimization requires the agents to collaboratively optimize a global cost function that consists of the summation of the local cost functions of the individual agents. Loss minimization in machine learning is a special case of this problem, and it has many other applications as well. The problems of consensus and optimization are inter-related, with some commonalities in the solutions used for these problems.\u003C\/p\u003E\u003Cp\u003EIn this talk, we will consider the above two problems in the presence of adversarial agents. The adversarial agents may misbehave and attempt to tamper with the outcome of the distributed computation. Such adversarial behavior may occur due to security compromise of the agents or due to software\/hardware failure. We will take an overview of some recent results on the above two problems, with an intuitive presentation of the proposed solutions.\u003C\/p\u003E\u003Cp\u003EThe talk will NOT assume any distributed computing background from the audience.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Nitin Vaidya is the Robert L. McDevitt, K.S.G., K.C.H.S. and Catherine H. McDevitt L.C.H.S. Chair Professor Computer Science at Georgetown University, where he served as the Department Chair during 2018-24. His current research interests are in the area of distributed algorithms, and previously he has worked on wireless networks. He received a Ph.D. from the University of Massachusetts at Amherst. He previously served as a Professor and Associate Head in Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. He has co-authored papers that received awards at several conferences, including SSS, ACM MobiHoc and ACM MobiCom. He is a fellow of the IEEE. He has served as the Chair of the Steering Committee for the ACM PODC conference, as the Editor-in-Chief for the IEEE Transactions on Mobile Computing, and as the Editor-in-Chief for ACM SIGMOBILE publication MC2R.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E Nitin Vaidya, professor at Georgetown University\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E Nov. 13 at 11 a.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E KACB 2443\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"SCS Distinguished Lecture: Nitin Vaidya"}],"uid":"36532","created_gmt":"2025-11-04 21:06:16","changed_gmt":"2025-11-04 21:10:59","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-11-13T11:00:00-05:00","event_time_end":"2025-11-13T12:00:00-05:00","event_time_end_last":"2025-11-13T12:00:00-05:00","gmt_time_start":"2025-11-13 16:00:00","gmt_time_end":"2025-11-13 17:00:00","gmt_time_end_last":"2025-11-13 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus 2443","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"686174":{"#nid":"686174","#data":{"type":"event","title":"Exams with More Learning and Less Stress with a Computer-Based Testing Facility","body":[{"value":"\u003Cp\u003EExams are an important tool for summative assessment, but they often create stress for students and administrative burden for faculty. The University of Illinois\u2019 Computer-Based Testing Facility (CBTF) supports thousands of students each semester, allowing flexible scheduling, frequent assessments, and a more effective learning experience.\u003C\/p\u003E\u003Cp\u003EIn this talk, \u003Cstrong\u003EDr. Craig Zilles\u003C\/strong\u003E will:\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EShare research on frequent and \u201csecond-chance\u201d testing to enhance learning and reduce anxiety\u003C\/li\u003E\u003Cli\u003EDiscuss patterns of cheating on unproctored online assessments\u003C\/li\u003E\u003Cli\u003EDescribe how the CBTF reduces faculty workload while maintaining exam integrity\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EDr. Zilles will also provide practical insights for implementing computer-based testing facilities at other institutions and discuss the potential benefits for large STEM courses.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker Bio:\u003C\/strong\u003E\u003Cbr\u003ECraig\u0026nbsp;Zilles\u0026nbsp;is a Professor and Severns Faculty Scholar in the Siebel School of Computer and Data Science at the University of Illinois at Urbana-Champaign. His current research focuses on applying computing and data analytics to education, including the development of the Computer-Based Testing Facility (CBTF).\u0026nbsp; Previously, his research focused on the interaction between compilers and computer architecture, and he developed the first algorithm that allowed rendering arbitrary three-dimensional polygonal shapes for haptic interfaces (force-feedback human-computer interfaces).\u0026nbsp; He received the IEEE Education Society\u0027s 2010 Mac Van Valkenburg Early Career Teaching Award and an NSF CAREER award.\u0026nbsp; At Illinois, he has received a wide range of teaching awards, including a 2018 Campus Award for Excellence in Undergraduate Teaching, a 2013 Illinois Student Senate Teaching Excellence Award, and the College of Engineering\u0027s Rose Award (2007) and Everitt Award (2008) for Teaching Excellence.\u0026nbsp; He holds 5 patents and his research has been recognized by a best paper awards from ASPLOS in 2010 and 2013 and by selection for inclusion in the IEEE Micro Top Picks from the 2008 Computer Architecture Conferences.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate \u0026amp; Time:\u003C\/strong\u003E\u003Cbr\u003ETuesday, November 11, 2025 \u2014 10:00 a.m\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EHosted by:\u003C\/strong\u003E\u003Cbr\u003ESchool of Computing Instruction, College of Computing\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe University of Illinois\u2019 Computer-Based Testing Facility (CBTF) has transformed assessment for thousands of students, enabling flexible scheduling, frequent low-stakes exams, and reduced test anxiety. Dr. Zilles will discuss lessons learned from operating the CBTF and strategies for implementing similar systems at other institutions.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Dr. Craig Zilles from the University of Illinois shares insights on how computer-based testing can improve student learning and reduce exam stress."}],"uid":"36613","created_gmt":"2025-11-04 16:47:42","changed_gmt":"2025-11-04 19:08:30","author":"Emily Smith","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-11-11T10:00:00-05:00","event_time_end":"2025-11-11T11:00:00-05:00","event_time_end_last":"2025-11-11T11:00:00-05:00","gmt_time_start":"2025-11-11 15:00:00","gmt_time_end":"2025-11-11 16:00:00","gmt_time_end_last":"2025-11-11 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"College of Computing, Georgia Institute of Technology (Room 309)","extras":[],"hg_media":{"678538":{"id":"678538","type":"image","title":"viewphoto.aspx_.jpeg","body":null,"created":"1762283155","gmt_created":"2025-11-04 19:05:55","changed":"1762283155","gmt_changed":"2025-11-04 19:05:55","alt":"Craig","file":{"fid":"262589","name":"viewphoto.aspx_.jpeg","image_path":"\/sites\/default\/files\/2025\/11\/04\/viewphoto.aspx_.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/11\/04\/viewphoto.aspx_.jpeg","mime":"image\/jpeg","size":13526,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/11\/04\/viewphoto.aspx_.jpeg?itok=1GU8exjQ"}}},"media_ids":["678538"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"660374","name":"School of Computing Instruction"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194683","name":"Talk"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"685357":{"#nid":"685357","#data":{"type":"event","title":"School of CSE Seminar Series: Sriram Sankararaman","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Sriram Sankararaman, professor at UCLA\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;November 7, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 230\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Yunan Luo\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EUnderstanding the Genetic Basis of Complex Traits and Common Diseases from Biobank-Scale Data: Statistical and Computational Challenges\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThe quest to understand the interplay between evolution, genes and traits has been revolutionized by the collection of rich phenotypic and genetic data across millions of individuals in diverse populations. However, analyses of these Biobank-scale datasets present substantial statistical and computational challenges.\u0026nbsp;\u003Cbr\u003E\u003Cbr\u003EI will describe how we bring together statistical and computational insights to design accurate and highly scalable algorithms for a suite of problems that arise in the analysis of Biobank data: highly scalable randomized inference algorithms to dissect the genetic architecture of complex traits and deep-learning based phenotype imputation to deal with complex patterns of missingness. By applying these methods to about half a million individuals from the UK Biobank, we obtain novel insights how genetic effects are distributed across the genome, the relative contributions of additive, dominance and gene-environment interaction effects to trait variation, and new genes that confer risk for hard-to-measure diseases.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003ESankararaman is a professor in the Departments of Computer Science, Human Genetics, and Computational Medicine at UCLA. His research interests lie at the interface of computer science, statistics, and biology. His lab develops machine learning algorithms to analyze genomic and biomedical data with the\u0026nbsp;broad goal of understanding the interplay between evolution, genomes, and traits. His work has led to methods for identifying disease genes in diverse human populations, discovered\u0026nbsp;\u0026nbsp;interbreeding between archaic and modern humans, established guidelines for sharing genetic data while maintaining privacy, and characterized the genetic architecture of human complex traits.\u003Cbr\u003E\u003Cbr\u003EHe received a\u0026nbsp;B.Tech. in Computer Science from the Indian Institute of Technology, Madras, a Ph.D. in Computer Science from UC Berkeley and was a postdoctoral fellow in Harvard Medical School before joining UCLA. He is a recipient of a NSF Career Award, a NIH Pathway to Independence Award, fellowships from Microsoft Research, the Sloan Foundation, the Okawa Foundation and the Simons Institute , and multiple teaching awards.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Sriram Sankararaman, professor at UCLA\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;November 7, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 230\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Yunan Luo\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EUnderstanding the Genetic Basis of Complex Traits and Common Diseases from Biobank-Scale Data: Statistical and Computational Challenges\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from UCLA Professor Sriram Sankararaman"}],"uid":"36319","created_gmt":"2025-09-29 15:37:48","changed_gmt":"2025-10-31 12:50:56","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-11-07T14:00:00-05:00","event_time_end":"2025-11-07T15:00:00-05:00","event_time_end_last":"2025-11-07T15:00:00-05:00","gmt_time_start":"2025-11-07 19:00:00","gmt_time_end":"2025-11-07 20:00:00","gmt_time_end_last":"2025-11-07 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":[],"hg_media":{"678175":{"id":"678175","type":"image","title":"Sriram-Sankararaman.png","body":null,"created":"1759160327","gmt_created":"2025-09-29 15:38:47","changed":"1759160327","gmt_changed":"2025-09-29 15:38:47","alt":"Sriram Sankararaman CSE","file":{"fid":"262168","name":"Sriram-Sankararaman.png","image_path":"\/sites\/default\/files\/2025\/09\/29\/Sriram-Sankararaman.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/09\/29\/Sriram-Sankararaman.png","mime":"image\/png","size":366476,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/09\/29\/Sriram-Sankararaman.png?itok=4QfD-Me4"}}},"media_ids":["678175"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EYunan Luo (yunan@gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"685356":{"#nid":"685356","#data":{"type":"event","title":"School of CSE Seminar Series: Wei-Lun (Harry) Chao","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Wei-Lun (Harry) Chao, associate professor at the Ohio State University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;October 31, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Kai Wang\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EInterpretable AI: A Goal-Oriented, User-Centric Perspective\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E How do deep learning \u201cvision\u201d models arrive at their predictions? This fundamental question has motivated a vibrant line of work in explainable and interpretable AI (XAI). In this talk, I will introduce XAI from a goal-oriented, user-centric perspective, emphasizing explanations that serve scientists\u2019 and practitioners\u2019 needs rather than merely optimizing proxy metrics. I will then showcase milestones from Imageomics (\u003Ca href=\u0022https:\/\/imageomics.osu.edu\/)%E2%80%94an\u0022\u003Ehttps:\/\/imageomics.osu.edu\/)\u003C\/a\u003E -- an emerging interdisciplinary field to make biological traits computable from images\u2014including Finer-CAM and interpretable transformers for precise, fine-grained attribution; sparse autoencoders (SAE) that uncover meaningful features for scientific discovery; BioCLIP, a vision foundation model built for the Tree of Life; and Static Segmentation by Tracking (SST) for specimen image analysis. I will conclude with a discussion on the future research opportunities in this exciting frontier.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Wei-Lun (Harry) Chao (\u003Ca href=\u0022https:\/\/cse.osu.edu\/people\/chao.209\u0022 id=\u0022OWA2a9ae790-9145-c433-a432-92b60e0f3e3c\u0022 title=\u0022https:\/\/cse.osu.edu\/people\/chao.209\u0022\u003Ehttps:\/\/cse.osu.edu\/people\/chao.209\u003C\/a\u003E) is an Associate Professor and College of Engineering Innovation Scholar in Computer Science and Engineering at The Ohio State University (OSU). His research focuses on machine learning and computer vision, with applications spanning visual recognition, autonomous driving, biology, and healthcare. He aims to develop fundamental understandings and robust, widely applicable algorithms to tackle real-world challenges. He is particularly interested in learning from imperfect data, including limited, noisy, heterogeneous, distribution-shifting, and inaccessible data. His contributions have been recognized by several awards and honors, including the OSU Early Career Distinguished Scholar Award (2025) and CVPR Best Student Paper Award (2024). Before joining OSU in 2019, he was a Postdoctoral Associate at Cornell University (2018\u20132019), working with Kilian Weinberger and Mark Campbell. He earned his Ph.D. in Computer Science from the University of Southern California (2013\u20132018) under the supervision of Fei Sha.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Wei-Lun (Harry) Chao, associate professor at the Ohio State University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;October 31, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Kai Wang\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EInterpretable AI: A Goal-Oriented, User-Centric Perspective\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Ohio State University Associate Professor Wei-Lun (Harry) Chao"}],"uid":"36319","created_gmt":"2025-09-29 15:32:41","changed_gmt":"2025-10-31 12:49:34","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-10-31T14:00:00-04:00","event_time_end":"2025-10-31T15:00:00-04:00","event_time_end_last":"2025-10-31T15:00:00-04:00","gmt_time_start":"2025-10-31 18:00:00","gmt_time_end":"2025-10-31 19:00:00","gmt_time_end_last":"2025-10-31 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda 114","extras":[],"hg_media":{"678174":{"id":"678174","type":"image","title":"Wei-Lun--Harry--Chao.png","body":null,"created":"1759160020","gmt_created":"2025-09-29 15:33:40","changed":"1759160020","gmt_changed":"2025-09-29 15:33:40","alt":"Wei-Lun (Harry) Chao CSE","file":{"fid":"262167","name":"Wei-Lun--Harry--Chao.png","image_path":"\/sites\/default\/files\/2025\/09\/29\/Wei-Lun--Harry--Chao.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/09\/29\/Wei-Lun--Harry--Chao.png","mime":"image\/png","size":1747101,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/09\/29\/Wei-Lun--Harry--Chao.png?itok=LSudlfDn"}}},"media_ids":["678174"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKai Wang (kwang692@gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"686056":{"#nid":"686056","#data":{"type":"event","title":"SCS Distinguished Lecture: Xiangyu Zhang","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Xiangyu Zhang, professor at Purdue University\u0026nbsp;\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;Nov. 4, 11 a.m.- 12 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;KACB 2447\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E Neural-symbolic Software Auditing\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E: Software engineering is undergoing a major shift: while code generation has become increasingly automated, code\u202freview\u202fand\u202faudit\u202fremain stubbornly human-intensive. Code quality continues to be a persistent challenge, and developers often face the task of debugging or auditing code they did not write. LLMs hold promise for automating aspects of code analysis, yet they consistently fall short in auditing real-world repositories due to context limitations, hallucinations, and difficulty with repository-scale reasoning. In this talk, I will present our recent research that addresses these challenges. Specifically, RepoAudi is an autonomous, LLM-driven auditing agent designed for repository-level code analysis with high precision and efficiency. By mimicking expert auditors, it performs demand-driven, path-sensitive reasoning over control- and data-flow graphs, powered by abstraction, pointer tracking, and validation mechanisms. This approach has enabled RepoAudit to uncover hundreds of previously unknown bugs in mature software ecosystems, including the Linux kernel and OpenSSL. In order to extend the tool to audit binary executables that do not have any source code information, we developed a novel code-model training method and award-winning probabilistic program analysis approaches. These techniques enable RepoAudit to find dozens of vulnerabilities in real-world firmware by solely performing auditing. At the end, I will briefly discuss how to audit future software, namely, AI agents.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Xiangyu Zhang is a Samuel Conte professor at Purdue specializing in\u202fSoftware Engineering,\u202fAI\u202fred-teaming, and\u202fCyber\u202fForensics. His work involves developing techniques to detect bugs, including security vulnerabilities, in traditional software systems as well as AI models and systems, and to leverage AI techniques to perform software engineering and cybersecurity tasks. He has served as the Principal Investigator (PI) for numerous projects funded by organizations such as DARPA, IARPA, ONR, NSF, AirForce, and industry.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Xiangyu Zhang, professor at Purdue University\u0026nbsp;\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;Nov. 4, 11 a.m.- 12 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;KACB, 2447\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"SCS Distinguished Lecture: Xiangyu Zhang"}],"uid":"36532","created_gmt":"2025-10-28 20:07:49","changed_gmt":"2025-10-28 20:07:49","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-11-04T11:00:00-05:00","event_time_end":"2025-11-04T12:00:00-05:00","event_time_end_last":"2025-11-04T12:00:00-05:00","gmt_time_start":"2025-11-04 16:00:00","gmt_time_end":"2025-11-04 17:00:00","gmt_time_end_last":"2025-11-04 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"KACB 2447","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"685947":{"#nid":"685947","#data":{"type":"event","title":"2025 Summit on Responsible Computing, AI, and Society","body":[{"value":"\u003Cp\u003EThe Summit on Responsible Computing, AI, and Society aims to explore the future of computing for health, sustainability, human-centered AI, and policy. The summit will bring together luminary researchers in computing for health, sustainability, human-centered AI, and tech policy to lay out the frontiers of these critical fields, and to plot out how they must evolve.\u003C\/p\u003E\u003Cp\u003EThe Summit will feature a Doctoral Consortium on October 27 which will offer Ph.D. students opportunities to introduce their research to the broader research community, and receive mentorship, and constructive input. We are looking for individuals just before, or just after, their PhD proposal defense who are working in the area of human-centered AI, responsible AI, responsible computing, sustainability (environmental or community), or health.\u003C\/p\u003E\u003Cp\u003EFor more information about speakers, visit the conference \u003Ca href=\u0022https:\/\/rcais.github.io\/\u0022\u003E\u003Cstrong\u003Ewebsite\u003C\/strong\u003E\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe Summit on Responsible Computing, AI, and Society aims to explore the future of computing for health, sustainability, human-centered AI, and policy. The summit will bring together luminary researchers in computing for health, sustainability, human-centered AI, and tech policy to lay out the frontiers of these critical fields, and to plot out how they must evolve.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The Georgia Tech School of Interactive Computing is hosting the 2025 Summit on Responsible Computing, AI, and Society, October 27-29, 2025."}],"uid":"36530","created_gmt":"2025-10-23 13:26:02","changed_gmt":"2025-10-23 13:28:13","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-10-27T00:00:00-04:00","event_time_end":"2025-10-29T23:59:59-04:00","event_time_end_last":"2025-10-29T23:59:59-04:00","gmt_time_start":"2025-10-27 04:00:00","gmt_time_end":"2025-10-30 03:59:59","gmt_time_end_last":"2025-10-30 03:59:59","rrule":null,"timezone":"America\/New_York"},"location":"Georgia Tech Historic Academy of Medicine","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"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\u003EMark Riedl\u003C\/p\u003E\u003Cp\u003Eriedl@gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"685752":{"#nid":"685752","#data":{"type":"event","title":"HotCSE Seminar: Sebasti\u00e1n Guti\u00e9rrez Hern\u00e1ndez","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ECSE Ph.D. Student Sebasti\u00e1n Guti\u00e9rrez Hern\u00e1ndez\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, Nov. 12, 2025, at 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ELunch provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EParametric Density Path Optimization\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E We introduce Parametric Density Path Optimization (PDPO), a novel method for computing action-minimizing paths between probability densities. The core idea is to represent the target probability path as the pushforward of a reference density through a parametric map, transforming the original infinite-dimensional optimization over densities to a finite-dimensional one over the parameters of the map. We derive a static formulation of the dynamic problem of action minimization and propose cubic spline interpolation of the path in parameter space to solve the static problem. Theoretically, we establish an error bound of the action under proper assumptions on the regularity of the parameter path. Empirically, we find that using 3\u20135 control points of the spline interpolation suffices to accurately resolve both multimodal and high-dimensional problems. We demonstrate that PDPO can flexibly accommodate a wide range of potential terms, including those modeling obstacles, mean-field interactions, stochastic control, and higher-order dynamics. Our method outperforms existing state-of-the-art approaches in benchmark tasks, demonstrating superior computational efficiency and solution quality.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Sebasti\u00e1n Guti\u00e9rrez Hern\u00e1ndez is currently a fifth-year CSE Ph.D. student in the Mathematics department at Georgia Tech. His main advisor is Dr. Haomin Zhou and he is co-advised by Dr. Peng Chen. Sebasti\u00e1n holds a bachelor\u0027s degree in Physics and Mathematics from the National Polytechnic Institute of Mexico and a Master\u0027s Degree in Applied Mathematics from the Research Center in Mathematics (CIMAT).\u003Cbr\u003ESebasti\u00e1n\u0027s research focuses on computational methods at the intersection of optimal transport theory and scientific machine learning. His primary interest is extending the Wasserstein parametric framework to optimal transport problems with Lagrangian costs. As a secondary research direction, Sebasti\u00e1n leverages operator learning techniques to efficiently solve PDE-constrained optimization problems under uncertainty.\u003Cbr\u003E\u003Cbr\u003ESebasti\u00e1n is serving as the President of the SIAM Student Chapter at Georgia Tech since Fall 2025. If you are interested in attending or presenting in the chapter seminar series, please reach out to him.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EAbout HotCSE\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/hotcse.gatech.edu\/\u0022\u003EHotCSE\u003C\/a\u003E is an academic seminar series to bring Ph.D. students in Computational Science and Engineering together to discuss interesting topics. The topics consist of high-performance computing, machine learning, data analysis, simulation, computational sustainability, medical informatics, etc.\u003C\/p\u003E\u003Cp\u003EThe talks have always been enjoyable and have ranged from quite informal to formal conference style talks. Either chalks or slides can be used to help people understand your talk. It is also a great forum to practice conference talks and bounce around new ideas.\u003C\/p\u003E\u003Cp\u003ECurrently the talks are sponsored by the School of Computational Science and Engineering. The goal of CSE is slightly broader than that of these talks - we want to bring more people outside CSE to discuss their related work here.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ECSE Ph.D. Student Sebasti\u00e1n Guti\u00e9rrez Hern\u00e1ndez\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, Nov. 12, 2025, at 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EParametric Density Path Optimization\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Parametric Density Path Optimization"}],"uid":"36319","created_gmt":"2025-10-16 15:05:48","changed_gmt":"2025-10-23 00:40:20","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-11-12T12:00:00-05:00","event_time_end":"2025-11-12T13:00:00-05:00","event_time_end_last":"2025-11-12T13:00:00-05:00","gmt_time_start":"2025-11-12 17:00:00","gmt_time_end":"2025-11-12 18:00:00","gmt_time_end_last":"2025-11-12 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":[],"hg_media":{"678428":{"id":"678428","type":"image","title":"SGH_Small-Square.jpg","body":null,"created":"1761153773","gmt_created":"2025-10-22 17:22:53","changed":"1761153773","gmt_changed":"2025-10-22 17:22:53","alt":"Sebasti\u00e1n Guti\u00e9rrez Hern\u00e1ndez small square","file":{"fid":"262451","name":"SGH_Small-Square.jpg","image_path":"\/sites\/default\/files\/2025\/10\/22\/SGH_Small-Square.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/10\/22\/SGH_Small-Square.jpg","mime":"image\/jpeg","size":40350,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/10\/22\/SGH_Small-Square.jpg?itok=cyfAyYuR"}}},"media_ids":["678428"],"related_links":[{"url":"https:\/\/hotcse.gatech.edu\/","title":"HotCSE"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"},{"id":"1791","name":"Student sponsored"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ECSE Graduate Student Association\u003C\/p\u003E\u003Cp\u003Ecse-gsa@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"685916":{"#nid":"685916","#data":{"type":"event","title":"School of CSE Seminar Series: Andreas Stathopoulos","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Andreas Stathopoulos, professor at College of William \u0026amp; Mary\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;October 24, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Edmond Chow\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EImproving and Evaluating Streaming SVD for Large Scale Problems\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E We study streaming singular value decomposition (SVD) for approximating large-scale SVD problems where data matrices are too large to store or recompute. Our focus is on Incremental SVD (iSVD), which applies hard-thresholding truncation after each streamed window. In contrast, Frequent Directions employs soft thresholding with provable but often loose bounds, and randomized methods such as SketchySVD construct one-pass sketches. \u0026nbsp;We propose algorithmic and theoretical improvements to iSVD and evaluate them experimentally. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EA \u201clarge-window\u201d variant processes as many rows as memory allows, improving both accuracy and efficiency. Implemented in Skema, a high-performance C++ framework using Kokkos and PRIMME, this approach scales to massive datasets. Algorithmic contributions include warm-start iterative solvers reducing iterations by 30\u201350% and a reservoir-sampling\u2013based convergence criterion for early stopping.\u003C\/p\u003E\u003Cp\u003ETheoretically, we outline a proof roadmap that when streaming rows in a random order (random shuffle), iSVD avoids pathological cases and achieves higher expected accuracy than Frequent Directions. Complexity analysis clarifies accuracy\u2013cost trade-offs with SketchySVD, while experiments demonstrate that iSVD achieves several orders of magnitude higher accuracy at competitive runtime. As an application, we use iSVD to obtain better quality multigrid prolongators in Lattice Quantum Chromodynamics.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Andreas Stathopoulos is a Professor of Computer Science at William \u0026amp; Mary in Virginia, USA. He was awarded an NSF CISE Postdoctoral Fellowship after receiving his Ph.D. and M.S. in Computer Science from Vanderbilt University; he also completed a B.S. in Mathematics from the University of Athens in Greece. Dr. Stathopoulos\u2019 research interests include numerical analysis and high performance computing; methods for large eigenvalue problems and linear systems of equations; and related applications from materials science and quantum chromodynamics. He co-developed PRIMME (Preconditioned Iterative MultiMethod Eigensolver), one of the foremost eigenvalue packages, several other significant software tools, and has published numerous journal articles and conference papers in computational sciences and applications. \u0026nbsp;He is a member of IEEE, IEEE Computer, and SIAM. Since 2010 he is an Associate Editor in SIAM Journal on Scientific Computing and from 2016-2022 served as its Section Editor for Software and HPC.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Andreas Stathopoulos, professor at College of William \u0026amp; Mary\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;October 24, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Edmond Chow\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EImproving and Evaluating Streaming SVD for Large Scale Problems\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from College of William \u0026 Mary Professor Andreas Stathopoulos"}],"uid":"36319","created_gmt":"2025-10-22 15:56:21","changed_gmt":"2025-10-22 16:53:00","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-10-24T14:00:00-04:00","event_time_end":"2025-10-24T15:00:00-04:00","event_time_end_last":"2025-10-24T15:00:00-04:00","gmt_time_start":"2025-10-24 18:00:00","gmt_time_end":"2025-10-24 19:00:00","gmt_time_end_last":"2025-10-24 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":[],"hg_media":{"678418":{"id":"678418","type":"image","title":"Andreas-Stathopoulos.jpg","body":null,"created":"1761148693","gmt_created":"2025-10-22 15:58:13","changed":"1761148693","gmt_changed":"2025-10-22 15:58:13","alt":"CSE Andreas Stathopoulos","file":{"fid":"262441","name":"Andreas-Stathopoulos.jpg","image_path":"\/sites\/default\/files\/2025\/10\/22\/Andreas-Stathopoulos.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/10\/22\/Andreas-Stathopoulos.jpg","mime":"image\/jpeg","size":39914,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/10\/22\/Andreas-Stathopoulos.jpg?itok=cMVCVjrn"}}},"media_ids":["678418"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EEdmond Chow\u0026nbsp;(echow@cc.gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"685354":{"#nid":"685354","#data":{"type":"event","title":"CANCELED School of CSE Seminar Series: Cory Hauck","body":[{"value":"\u003Cp\u003E\u003Cem\u003EAs of Oct. 21, this seminar has been canceled due to the government shutdown\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Cory Hauck, applied mathematician at Oak Ridge National Laboratory\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;October 24, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Qi Tang\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003ETBD\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003ETBD\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003ETBD\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cem\u003EAs of Oct. 21, this seminar has been canceled due to the government shutdown\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Cory Hauck, applied mathematician at Oak Ridge National Laboratory\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;October 24, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Qi Tang\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003ETBD\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Oak Ridge National Laboratory Applied Mathematician Cory Hauck"}],"uid":"36319","created_gmt":"2025-09-29 15:21:55","changed_gmt":"2025-10-21 15:45:04","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-10-24T14:00:00-04:00","event_time_end":"2025-10-24T15:00:00-04:00","event_time_end_last":"2025-10-24T15:00:00-04:00","gmt_time_start":"2025-10-24 18:00:00","gmt_time_end":"2025-10-24 19:00:00","gmt_time_end_last":"2025-10-24 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":[],"hg_media":{"678170":{"id":"678170","type":"image","title":"Cory-Hauck.png","body":null,"created":"1759159575","gmt_created":"2025-09-29 15:26:15","changed":"1759159575","gmt_changed":"2025-09-29 15:26:15","alt":"Cory Hauck CSE","file":{"fid":"262163","name":"Cory-Hauck.png","image_path":"\/sites\/default\/files\/2025\/09\/29\/Cory-Hauck.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/09\/29\/Cory-Hauck.png","mime":"image\/png","size":127223,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/09\/29\/Cory-Hauck.png?itok=8dJ7oZfC"}}},"media_ids":["678170"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EQi Tang\u0026nbsp;(qtang@gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"685745":{"#nid":"685745","#data":{"type":"event","title":"CSE GSA Hosts Fall Picnic at Piedmont Park","body":[{"value":"\u003Cdiv\u003EJoin \u003Ca href=\u0022https:\/\/cse.gatech.edu\/cse-graduate-student-association\u0022\u003ECSE Graduate Student Association\u003C\/a\u003E Saturday, October 18, at 1pm in Piedmont Park for the CSE Fall Picnic! Snacks and drinks will be provided. \ud83d\ude42\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003EWhen: Saturday October 18th, 1pm\u003Cbr\u003EWhere: Meet at Piedmont Park 14th St and Piedmont Ave entrance\u003C\/div\u003E\u003Cdiv\u003E\u003Ca href=\u0022https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSf5XICRfHUiHyPFZxEYlaXY5DB4KvV6mZcHiSURjGzj8zBf_Q\/viewform\u0022 id=\u0022LPlnkOWAae75faf3-2430-05c1-c024-7a967923af27\u0022 title=\u0022https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSf5XICRfHUiHyPFZxEYlaXY5DB4KvV6mZcHiSURjGzj8zBf_Q\/viewform\u0022\u003ERSVP here\u003C\/a\u003E\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003EIf you can\u0027t find us when you arrive, please email \u003Ca href=\u0022mailto:cse-gsa@cc.gatech.edu\u0022 id=\u0022OWAecfd42fb-48d3-c2bc-41dd-665e100446c5\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022mailto:cse-gsa@cc.gatech.edu\u0022\u003Ecse-gsa@cc.gatech.edu\u003C\/a\u003E\u0026nbsp;or message us in the \u003Ca href=\u0022http:\/\/csestudents.slack.com\/\u0022 id=\u0022LPlnk595068\u0022 title=\u0022http:\/\/csestudents.slack.com\u0022\u003ECSE Students Slack\u003C\/a\u003E. We hope to see you there!\u003Cbr\u003E\u003Cbr\u003EFor more about CSE GSE, check out: \u003Ca href=\u0022https:\/\/cse.gatech.edu\/cse-graduate-student-association\u0022\u003Ehttps:\/\/cse.gatech.edu\/cse-graduate-student-association\u003C\/a\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe CSE Graduate Student Association welcomes students for a picnic at Piedmont Park\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The CSE Graduate Student Association welcomes students for a picnic at Piedmont Park"}],"uid":"36319","created_gmt":"2025-10-16 14:55:02","changed_gmt":"2025-10-16 15:00:19","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-10-18T13:00:00-04:00","event_time_end":"2025-10-18T15:00:00-04:00","event_time_end_last":"2025-10-18T15:00:00-04:00","gmt_time_start":"2025-10-18 17:00:00","gmt_time_end":"2025-10-18 19:00:00","gmt_time_end_last":"2025-10-18 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Piedmont Park","extras":["free_food"],"hg_media":{"678365":{"id":"678365","type":"image","title":"cse-gsa-fall-picnic.png","body":null,"created":"1760626675","gmt_created":"2025-10-16 14:57:55","changed":"1760626675","gmt_changed":"2025-10-16 14:57:55","alt":"CSE GSA Fall Picnic 2025","file":{"fid":"262383","name":"cse-gsa-fall-picnic.png","image_path":"\/sites\/default\/files\/2025\/10\/16\/cse-gsa-fall-picnic.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/10\/16\/cse-gsa-fall-picnic.png","mime":"image\/png","size":1117549,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/10\/16\/cse-gsa-fall-picnic.png?itok=n-58HF88"}}},"media_ids":["678365"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1791","name":"Student sponsored"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003Ecse-gsa@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"684825":{"#nid":"684825","#data":{"type":"event","title":"College of Computing Food Drive for GT Students","body":[{"value":"\u003Cdiv\u003E\u003Cp\u003ESeptember is Hunger Action Month and TSO is honored to serve as September Angels for Klemis Kitchen by hosting a food drive for Georgia Tech students on behalf of the College of Computing.\u0026nbsp; We invite you to participate and become a Klemis Kitchen angel by donating non-perishable food items for students in need.\u003Cbr\u003E\u003Cbr\u003EKlemis Kitchen is Georgia Tech\u2019s on-campus food pantry for students who are food under-resourced. This is a vital resource to allow those students to focus on their studies without the constant concern of food insecurity.\u0026nbsp; Klemis Kitchen\u0026nbsp;collects shelf-stable items donated from food drives and other departments and clubs around campus, and they keep the pantry refrigerators and freezer stocked with leftover food recovered from the campus dining halls.\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003E\u003Cstrong\u003EHere are some items they can always use:\u003C\/strong\u003E\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cul type=\u0022disc\u0022\u003E\u003Cli\u003EBreakfast foods (cereal, oatmeal); shelf-stable milk\u003C\/li\u003E\u003Cli\u003ECereal bars \/ breakfast bars \/ protein bars\u003C\/li\u003E\u003Cli\u003EPasta and pasta sauce\u003C\/li\u003E\u003Cli\u003EPeanut butter and jelly\u003C\/li\u003E\u003Cli\u003ECanned chicken\u003C\/li\u003E\u003Cli\u003ECanned tuna\u003C\/li\u003E\u003Cli\u003EMicrowavable macaroni and cheese\u003C\/li\u003E\u003Cli\u003ERamen noodles\u003C\/li\u003E\u003Cli\u003ECanned vegetables\u003Cbr\u003E\u0026nbsp;\u003C\/li\u003E\u003C\/ul\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003E\u003Cstrong\u003EFood Drive Drop-off\u0026nbsp;Details:\u003C\/strong\u003E\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp; By the TSO Helpdesk, CCB 225D\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003E\u003Cstrong\u003EDates:\u0026nbsp;\u003C\/strong\u003E September 5th - September 30th\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003ELet\u2019s come together to ensure that no student goes without the nourishment they need.\u0026nbsp; Thank you so much for your commitment to ensuring that students are our top priority and for helping us keep Klemis Kitchen stocked!\u003C\/p\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ESeptember is Hunger Action Month and the College of Computing is honored to serve as September Angels for Klemis Kitchen by hosting a food drive for Georgia Tech students.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"September is Hunger Action Month and the College of Computing is honored to serve as September Angels for Klemis Kitchen by hosting a food drive for Georgia Tech students."}],"uid":"35336","created_gmt":"2025-09-12 19:26:57","changed_gmt":"2025-09-16 22:17:23","author":"vtopping3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-05T00:00:00-04:00","event_time_end":"2025-09-30T23:59:59-04:00","event_time_end_last":"2025-09-30T23:59:59-04:00","gmt_time_start":"2025-09-05 04:00:00","gmt_time_end":"2025-10-01 03:59:59","gmt_time_end_last":"2025-10-01 03:59:59","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of 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":""}},"684931":{"#nid":"684931","#data":{"type":"event","title":"HotCSE Seminar: Ben Wilfong","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE Ph.D. Student Ben Wilfong\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, Oct. 8, 2025, at 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, 9th Floor Atrium (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ELunch provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EDesign, development, and analysis of a compressible fluid dynamics solver capable of exceeding one quadrillion degrees of freedom\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003EThis talk presents an optimized implementation of the recently proposed information geometric regularization (IGR) for unprecedented scale simulation of compressible fluid flows applied to multi-engine spacecraft boosters. The work improves upon state-of-the-art computational fluid dynamics (CFD) techniques in terms of computational cost, memory footprint, and energy-to-solution metrics. Unified memory on coupled CPU-GPU or APU platforms increases problem size with negligible overhead on NVIDIA and AMD architectures. Mixed half\/single-precision storage and computation on well-conditioned numerics is used. The resulting solver is capable of simulating flow at 200 trillion grid points and 1 quadrillion degrees of freedom, exceeding the current record by a factor of 20. This talk describes the tools and languages used to develop fast and portable code that leverages coupled CPU-GPU and APU architectures and summarizes performance results that demonstrate real-world usability and meaningful improvement over the current state-of-the-art.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Ben Wilfong is a fourth-year CSE PhD student in Spencer Bryngelson\u2019s computational physics group. His current research interests focus on high-performance computing for modeling and simulation applications on the world\u2019s fastest supercomputers. He is a core developer for the Multi-Component Flow Code (\u003Ca href=\u0022https:\/\/mflowcode.github.io\/\u0022\u003EMFC\u003C\/a\u003E), an exascale compressible multiphase and multipysics flow solver.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EAbout HotCSE\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/hotcse.gatech.edu\/\u0022\u003EHotCSE\u003C\/a\u003E is an academic seminar series to bring Ph.D. students in Computational Science and Engineering together to discuss interesting topics. The topics consist of high-performance computing, machine learning, data analysis, simulation, computational sustainability, medical informatics, etc.\u003C\/p\u003E\u003Cp\u003EThe talks have always been enjoyable and have ranged from quite informal to formal conference style talks. Either chalks or slides can be used to help people understand your talk. It is also a great forum to practice conference talks and bounce around new ideas.\u003C\/p\u003E\u003Cp\u003ECurrently the talks are sponsored by the School of Computational Science and Engineering. The goal of CSE is slightly broader than that of these talks - we want to bring more people outside CSE to discuss their related work here.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE Ph.D. Student Ben Wilfong\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, Oct. 8, 2025, at 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, 9th Floor Atrium (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EDesign, development, and analysis of a compressible fluid dynamics solver capable of exceeding one quadrillion degrees of freedom\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Design, development, and analysis of a compressible fluid dynamics solver capable of exceeding one quadrillion degrees of freedom"}],"uid":"36319","created_gmt":"2025-09-16 19:07:44","changed_gmt":"2025-09-16 19:13:22","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-10-08T12:00:00-04:00","event_time_end":"2025-10-08T13:00:00-04:00","event_time_end_last":"2025-10-08T13:00:00-04:00","gmt_time_start":"2025-10-08 16:00:00","gmt_time_end":"2025-10-08 17:00:00","gmt_time_end_last":"2025-10-08 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, 9th Floor Atrium","extras":["free_food"],"hg_media":{"678025":{"id":"678025","type":"image","title":"Benjamin-Wilfong.jpeg","body":null,"created":"1758049976","gmt_created":"2025-09-16 19:12:56","changed":"1758049976","gmt_changed":"2025-09-16 19:12:56","alt":"Ben Wilfong CSE","file":{"fid":"261997","name":"Benjamin-Wilfong.jpeg","image_path":"\/sites\/default\/files\/2025\/09\/16\/Benjamin-Wilfong.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/09\/16\/Benjamin-Wilfong.jpeg","mime":"image\/jpeg","size":758656,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/09\/16\/Benjamin-Wilfong.jpeg?itok=emzdRsin"}}},"media_ids":["678025"],"related_links":[{"url":"https:\/\/hotcse.gatech.edu\/","title":"HotCSE"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"},{"id":"1791","name":"Student sponsored"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ECSE Graduate Student Association\u003C\/p\u003E\u003Cp\u003Ecse-gsa@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"684930":{"#nid":"684930","#data":{"type":"event","title":"NSF GRFP Workshop hosted by CSE Graduate Student Association","body":[{"value":"\u003Cp\u003EThe CSE Graduate Student Association (GSA) is hosting an NSF GRFP workshop on Thursday, September 25th, from noon to 1:30 pm. The event is open to all students preparing applications for the \u003Ca href=\u0022https:\/\/www.nsf.gov\/funding\/opportunities\/grfp-nsf-graduate-research-fellowship-program\u0022 id=\u0022LPlnk694732\u0022 title=\u0022https:\/\/www.nsf.gov\/funding\/opportunities\/grfp-nsf-graduate-research-fellowship-program\u0022\u003ENSF Graduate Research Fellowship Program (GRFP)\u003C\/a\u003E, which are due at the end of October. The workshop will be co-hosted by School of CSE Assistant Professor \u003Cstrong\u003EHelen Xu\u003C\/strong\u003E and past GRFP winners in CSE. In order to attend the workshop, you must \u003Ca href=\u0022https:\/\/forms.office.com\/Pages\/ResponsePage.aspx?id=u5ghSHuuJUuLem1_MvqggxC3CRUrevFPndW9pIL-zH9UOElFSEpMSlY0OUlTVFc1SzNEQ1JLR1E5SCQlQCN0PWcu\u0022 id=\u0022LPlnk516171\u0022 title=\u0022https:\/\/forms.office.com\/Pages\/ResponsePage.aspx?id=u5ghSHuuJUuLem1_MvqggxC3CRUrevFPndW9pIL-zH9UOElFSEpMSlY0OUlTVFc1SzNEQ1JLR1E5SCQlQCN0PWcu\u0022\u003ERSVP here\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ECSE Graduate Student Association hosts a workshop on preparing applications for the NSF Graduate Research Fellowship Program (GRFP)\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"CSE Graduate Student Association hosts a workshop on preparing applications for the NSF Graduate Research Fellowship Program (GRFP)"}],"uid":"36319","created_gmt":"2025-09-16 19:00:54","changed_gmt":"2025-09-16 19:04:21","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-25T12:00:00-04:00","event_time_end":"2025-09-25T13:30:00-04:00","event_time_end_last":"2025-09-25T13:30:00-04:00","gmt_time_start":"2025-09-25 16:00:00","gmt_time_end":"2025-09-25 17:30:00","gmt_time_end_last":"2025-09-25 17:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"678023":{"id":"678023","type":"image","title":"NSF_Official_logo_Med_Res_600ppi.png","body":null,"created":"1758049377","gmt_created":"2025-09-16 19:02:57","changed":"1758049377","gmt_changed":"2025-09-16 19:02:57","alt":"NSF","file":{"fid":"261995","name":"NSF_Official_logo_Med_Res_600ppi.png","image_path":"\/sites\/default\/files\/2025\/09\/16\/NSF_Official_logo_Med_Res_600ppi.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/09\/16\/NSF_Official_logo_Med_Res_600ppi.png","mime":"image\/png","size":2179831,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/09\/16\/NSF_Official_logo_Med_Res_600ppi.png?itok=BPg6X2SZ"}}},"media_ids":["678023"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194682","name":"Workshop"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:cse-gsa@cc.gatech.edu\u0022\u003E\u003Cstrong\u003Ecse-gsa@cc.gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"684929":{"#nid":"684929","#data":{"type":"event","title":"Hike at Cochran Shoals Trail Hosted by CSE GSA","body":[{"value":"\u003Cp\u003ECSE Graduate Student Association hosts a group hike at Cochran Shoals Trail on September 27th. Participation requires RSVP to accomodate large groups.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/forms.office.com\/Pages\/ResponsePage.aspx?id=u5ghSHuuJUuLem1_MvqggxC3CRUrevFPndW9pIL-zH9URFQxRzRZSDcyOEFBM0JaVzVSQ09PTVNPUiQlQCN0PWcu\u0022\u003E\u003Cstrong\u003Esign up and details\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003EFor more about CSE GSE, check out: \u003Ca href=\u0022https:\/\/cse.gatech.edu\/cse-graduate-student-association\u0022\u003E\u003Cstrong\u003Ehttps:\/\/cse.gatech.edu\/cse-graduate-student-association\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003EThis event is set up differently from past CSE GSA hikes to accommodate\u0026nbsp;increased interest. Three or four small groups meet at CODA and depart at 8:30 am, 10:00 am, 11:30 am, and\/or 1:00 pm. These small groups will be assigned so that each group has students who can provide transportation to those who need it. Each group will also be assigned a group leader to select and lead the hike.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EPlease provide accurate preferences for meeting times and cancel your RSVP if necessary so we can accommodate as many students as possible without last-minute cancellations. The sign-up is available \u003Ca href=\u0022https:\/\/forms.office.com\/Pages\/ResponsePage.aspx?id=u5ghSHuuJUuLem1_MvqggxC3CRUrevFPndW9pIL-zH9URFQxRzRZSDcyOEFBM0JaVzVSQ09PTVNPUiQlQCN0PWcu\u0022 id=\u0022LPlnk170637\u0022 title=\u0022https:\/\/forms.office.com\/r\/EjSUbkET74\u0022\u003Ehere\u003C\/a\u003E\u0026nbsp;and CODA meetup times will be sent in the afternoon or evening of September 26th. Priority will be given in the order responses are received.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ECSE Graduate Student Association hosts a group hike at Cochran Shoals Trail\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"CSE Graduate Student Association hosts a group hike at Cochran Shoals Trail"}],"uid":"36319","created_gmt":"2025-09-16 18:46:54","changed_gmt":"2025-09-16 18:53:23","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-27T08:30:00-04:00","event_time_end":"2025-09-27T14:30:00-04:00","event_time_end_last":"2025-09-27T14:30:00-04:00","gmt_time_start":"2025-09-27 12:30:00","gmt_time_end":"2025-09-27 18:30:00","gmt_time_end_last":"2025-09-27 18:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Cochran Shoals Trail","extras":[],"hg_media":{"678022":{"id":"678022","type":"image","title":"Cochran-Shoals-Trail.jpeg","body":null,"created":"1758048719","gmt_created":"2025-09-16 18:51:59","changed":"1758048719","gmt_changed":"2025-09-16 18:51:59","alt":"Cochran Shoals Trail","file":{"fid":"261994","name":"Cochran-Shoals-Trail.jpeg","image_path":"\/sites\/default\/files\/2025\/09\/16\/Cochran-Shoals-Trail.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/09\/16\/Cochran-Shoals-Trail.jpeg","mime":"image\/jpeg","size":894156,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/09\/16\/Cochran-Shoals-Trail.jpeg?itok=Bx9QZD35"}}},"media_ids":["678022"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1793","name":"Sports\/Athletics"},{"id":"1791","name":"Student sponsored"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:cse-gsa@cc.gatech.edu\u0022\u003E\u003Cstrong\u003Ecse-gsa@cc.gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"684416":{"#nid":"684416","#data":{"type":"event","title":"CSE GSA Hosts Bowling Night at Tech Rec","body":[{"value":"\u003Cp\u003EThe CSE Graduate Student Association welcomes students for bowling and pizza at Tech Rec\u003C\/p\u003E\u003Cp\u003EThursday, Sept. 11\u0026nbsp;\u003Cbr\u003E6:00 - 8:00 p.m.\u003Cbr\u003ETech Rec\u003Cbr\u003EJohn Lewis Student Center\u003Cbr\u003EPizza to be provided\u003C\/p\u003E\u003Cp\u003EFor more about CSE GSE, check out: \u003Ca href=\u0022https:\/\/cse.gatech.edu\/cse-graduate-student-association\u0022\u003Ehttps:\/\/cse.gatech.edu\/cse-graduate-student-association\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe CSE Graduate Student Association welcomes students for bowling and pizza at Tech Rec\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The CSE Graduate Student Association welcomes students for bowling and pizza at Tech Rec"}],"uid":"36319","created_gmt":"2025-09-04 18:34:52","changed_gmt":"2025-09-09 16:23:09","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-11T18:00:00-04:00","event_time_end":"2025-09-11T20:00:00-04:00","event_time_end_last":"2025-09-11T20:00:00-04:00","gmt_time_start":"2025-09-11 22:00:00","gmt_time_end":"2025-09-12 00:00:00","gmt_time_end_last":"2025-09-12 00:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Tech Rec, John Lewis Student Center","extras":["free_food"],"hg_media":{"677950":{"id":"677950","type":"image","title":"cse-bowling-poster.png","body":null,"created":"1757434960","gmt_created":"2025-09-09 16:22:40","changed":"1757434960","gmt_changed":"2025-09-09 16:22:40","alt":"CSE Bowling","file":{"fid":"261911","name":"cse-bowling-poster.png","image_path":"\/sites\/default\/files\/2025\/09\/09\/cse-bowling-poster.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/09\/09\/cse-bowling-poster.png","mime":"image\/png","size":253486,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/09\/09\/cse-bowling-poster.png?itok=XaPTzBFB"}}},"media_ids":["677950"],"related_links":[{"url":"https:\/\/cse.gatech.edu\/cse-graduate-student-association","title":"CSE Graduate Student Association"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1793","name":"Sports\/Athletics"},{"id":"1791","name":"Student sponsored"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003Ecse-gsa@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"684296":{"#nid":"684296","#data":{"type":"event","title":"HotCSE Seminar: Max Hawkins","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE Ph.D. Student Max Hawkins\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, Sept. 17, 2025, at 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 114 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ELunch provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EBack to Bits: Extending Shannon\u2019s Communication Performance Framework to Computing\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003EThis presentation proposes a novel measurement unit for computing performance grounded in information theory. Modern computing systems are increasingly diverse, supporting low-precision formats, hardware specialization, and emerging paradigms such as analog, quantum, and reversible logic. Traditional metrics like floating-point operation (flop) counts no longer accurately capture this complexity. Instead, I frame computing as the transformation of information through a channel and define performance in terms of the mutual information between a system\u2019s inputs and outputs. This approach measures not just the quantity of data processed, but the amount of meaningful information encoded, manipulated, and retained through computation. The framework provides a principled, implementation-agnostic foundation for evaluating performance.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Max Hawkins is a CSE PhD student interested in computer performance evaluation, sustainable data center operation, and adapting hardware systems to each running workload. His previous experience in radio astronomy, analog hardware, and data center design compelled him to explore a more general approach to application-agnostic computing performance evaluation. This presentation covers the current state of his work on this topic. He is advised by Richard Vuduc and Spencer Bryngelson.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EAbout HotCSE\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003EHotCSE is an academic seminar series to bring Ph.D. students in Computational Science and Engineering together to discuss interesting topics. The topics consist of high-performance computing, machine learning, data analysis, simulation, computational sustainability, medical informatics, etc.\u003C\/p\u003E\u003Cp\u003EThe talks have always been enjoyable and have ranged from quite informal to formal conference style talks. Either chalks or slides can be used to help people understand your talk. It is also a great forum to practice conference talks and bounce around new ideas.\u003C\/p\u003E\u003Cp\u003ECurrently the talks are sponsored by the School of Computational Science and Engineering. The goal of CSE is slightly broader than that of these talks - we want to bring more people outside CSE to discuss their related work here.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE Ph.D. Student Max Hawkins\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, Sept. 17, 2025, at 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 114 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EBack to Bits: Extending Shannon\u2019s Communication Performance Framework to Computing\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Back to Bits: Extending Shannon\u2019s Communication Performance Framework to Computing"}],"uid":"36319","created_gmt":"2025-08-29 16:28:05","changed_gmt":"2025-08-29 16:35:29","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-17T12:00:00-04:00","event_time_end":"2025-09-17T13:00:00-04:00","event_time_end_last":"2025-09-17T13:00:00-04:00","gmt_time_start":"2025-09-17 16:00:00","gmt_time_end":"2025-09-17 17:00:00","gmt_time_end_last":"2025-09-17 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":["free_food","freebies"],"hg_media":{"677858":{"id":"677858","type":"image","title":"Max-Hawkins-square.jpeg","body":null,"created":"1756485195","gmt_created":"2025-08-29 16:33:15","changed":"1756485195","gmt_changed":"2025-08-29 16:33:15","alt":"Max Hawkins 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This year, a 2K option is also available.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The College of Computing is hosting it\u0027s annual Fun Run on Aug. 30."}],"uid":"32045","created_gmt":"2025-07-23 16:42:58","changed_gmt":"2025-07-23 16:51:32","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-08-30T07:30:00-04:00","event_time_end":"2025-08-30T10:00:00-04:00","event_time_end_last":"2025-08-30T10:00:00-04:00","gmt_time_start":"2025-08-30 11:30:00","gmt_time_end":"2025-08-30 14:00:00","gmt_time_end_last":"2025-08-30 14:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus Advanced Computing Bldg. \u2013 Noonan Courtyard","extras":["free_food","freebies"],"groups":[{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"683241":{"#nid":"683241","#data":{"type":"event","title":"GT Computing Welcome Back \u0026 Student Orgs Fair","body":[{"value":"\u003Cp\u003EKick off the semester at the College of Computing\u0027s Fall Welcome Back \u0026amp; Student Organization Fair\u2014connect with fellow students, explore exciting student orgs, and get plugged into the vibrant GT Computing community! Enjoy free food, fun activities, and opportunities to grow both socially and professionally.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EKick off the semester at the College of Computing\u0027s Fall Welcome Back \u0026amp; Student Organization Fair\u2014connect with fellow students, explore exciting student orgs, and get plugged into the vibrant GT Computing community! Enjoy free food, fun activities, and opportunities to grow both socially and professionally.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The College of Computing is kicking off the new semester with a Fall Welcome Back \u0026 Student Organization Fair."}],"uid":"32045","created_gmt":"2025-07-23 16:32:45","changed_gmt":"2025-07-23 16:35:58","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-08-22T16:00:00-04:00","event_time_end":"2025-08-22T18:00:00-04:00","event_time_end_last":"2025-08-22T18:00:00-04:00","gmt_time_start":"2025-08-22 20:00:00","gmt_time_end":"2025-08-22 22:00:00","gmt_time_end_last":"2025-08-22 22:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus Advanced Computing Bldg. \u2013 Atrium","extras":["free_food","freebies"],"groups":[{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"682278":{"#nid":"682278","#data":{"type":"event","title":"In-Person Work at Georgia Tech: Hybrid Town Hall","body":[{"value":"\u003Cp\u003EThe campus community is invited to join us for a town hall to review the Institute\u2019s phased approach toward a more in-person work model for the 2025-26 academic year. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EPanelists include:\u003C\/strong\u003E\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EKim Toatley,\u0026nbsp;\u003C\/strong\u003EInterim Executive Vice President for Administration and Finance, Chief Business Officer\u202f\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ERon Johnson\u003C\/strong\u003E, Chief of Staff and Senior Vice President of Strategic Initiatives,\u202f\u0026nbsp;Professor of the Practice, Industrial and Systems Engineering\u202f\u0026nbsp;\u003Cbr\u003E\u0026nbsp;\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Cstrong\u003ETime:\u0026nbsp;\u003C\/strong\u003E10 to 11 a.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u0026nbsp;\u003C\/strong\u003EThe\u0026nbsp;Bill Moore Student Success Center, Clary Theater\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EIn-person attendance is now closed as we have reached our maximum room capacity.\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003EIf you did not RSVP to attend in person,\u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/98994761319\u0022\u003E join us virtually via Zoom\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAs always, we are reserving time for an open Q\u0026amp;A, and you are encouraged to take a minute to submit your questions in advance to\u0026nbsp;\u003Ca href=\u0022mailto:evpaf@gatech.edu\u0022\u003Eevpaf@gatech.edu\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe campus community is invited to join us for a town hall on Wednesday, May 14, from 10 to 11 a.m. to review the Institute\u2019s phased approach toward a more in-person work model for the 2025-26 academic year. \u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The campus community is invited to join us for a town hall to review the Institute\u2019s phased approach toward a more in-person work model for the 2025-26 academic year."}],"uid":"27164","created_gmt":"2025-05-07 18:02:31","changed_gmt":"2025-05-09 21:59:15","author":"Rachael Pocklington","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-05-14T10:00:00-04:00","event_time_end":"2025-05-14T11:00:00-04:00","event_time_end_last":"2025-05-14T11:00:00-04:00","gmt_time_start":"2025-05-14 14:00:00","gmt_time_end":"2025-05-14 15:00:00","gmt_time_end_last":"2025-05-14 15:00:00","rrule":null,"timezone":"America\/New_York"},"location":"The Bill Moore Student Success Center, Clary Theater","extras":[],"related_links":[{"url":"https:\/\/hr.gatech.edu\/telework\/","title":"Telework Agreements"}],"groups":[{"id":"64319","name":"Administration and Finance"},{"id":"660358","name":"Administrative Services Center"},{"id":"47223","name":"College of Computing"},{"id":"1278","name":"College of Sciences"},{"id":"64303","name":"Human Resources"}],"categories":[],"keywords":[{"id":"194508","name":"in-person work, telework, return to office"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ERachael Pocklington\u003Cbr\u003EInstitute Communications\u003Cbr\u003E\u003Ca href=\u0022mailto:rpocklington@gatech.edu\u0022\u003Erpocklington@gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"682100":{"#nid":"682100","#data":{"type":"event","title":"Sound Clouds at the Goat Farm","body":[{"value":"\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003ECome play in the clouds at Goat Farm on April 29th. \u201cSound Clouds\u201d is a whimsical, immersive installation where attendees collaborate with AI to awaken a massive, interactive musical instrument that responds to their presence.\u003C\/p\u003E\u003Cp\u003E\u201cSound Clouds\u201d is inspired by \u201cSound Happening,\u201d an experimental exhibit that explored playful interactions between inflatable spheres and music generation. In this evolution of the concept, an 8000 sq ft space at the Goat Farm is transformed into a kinetic soundscape\u2014part sculpture, part instrument, and entirely participatory.\u003C\/p\u003E\u003Cp\u003ESound Clouds is a creation of Dr. Brian Magerko and Georgia Tech graduate students from his Expressive Machinery Studio. Magerko is a Regents Professor of Digital Media, Director of Graduate Studies in Digital Media \u0026amp; Head of the Expressive Machinery Lab at Georgia Tech.\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Ca href=\u0022https:\/\/www.eventbrite.com\/e\/sound-clouds-tickets-1323757156289?aff=oddtdtcreator\u0022\u003ERSVP HERE\u003C\/a\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ECome play in the clouds at Goat Farm on April 29th. \u201cSound Clouds\u201d is a whimsical, immersive installation where attendees collaborate with AI to awaken a massive, interactive musical instrument that responds to their presence.\u003C\/p\u003E\u003Cp\u003E\u201cSound Clouds\u201d is inspired by \u201cSound Happening,\u201d an experimental exhibit that explored playful interactions between inflatable spheres and music generation. In this evolution of the concept, an 8000 sq ft space at the Goat Farm is transformed into a kinetic soundscape\u2014part sculpture, part instrument, and entirely participatory.\u003C\/p\u003E\u003Cp\u003ESound Clouds is a creation of Dr. Brian Magerko and Georgia Tech graduate students from his Expressive Machinery Studio. Magerko is a Regents Professor of Digital Media, Director of Graduate Studies in Digital Media \u0026amp; Head of the Expressive Machinery Lab at Georgia Tech.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.eventbrite.com\/e\/sound-clouds-tickets-1323757156289?aff=oddtdtcreator\u0022\u003ERSVP HERE\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Sound Clouds at the Goat Farm"}],"uid":"28150","created_gmt":"2025-04-28 17:22:06","changed_gmt":"2025-04-28 17:25:45","author":"Birney Robert","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-29T19:00:00-04:00","event_time_end":"2025-04-29T21:00:00-04:00","event_time_end_last":"2025-04-29T21:00:00-04:00","gmt_time_start":"2025-04-29 23:00:00","gmt_time_end":"2025-04-30 01:00:00","gmt_time_end_last":"2025-04-30 01:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Goat Farm, 1200 Foster St NW Atlanta, GA 30318","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"659557","name":"Extension of Self"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1792","name":"Arts and Performance"},{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBirney Robert\u003C\/p\u003E\u003Cp\u003Ebirney.robert@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"679172":{"#nid":"679172","#data":{"type":"event","title":"School of CSE Seminar Series: Ben Raphael","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Ben Raphael, professor at Princeton University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;April 18, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 230\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Xiuwei Zhang\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EMapping Tissue Organization and Development Across Space and Time\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThe development of a multicellular organism from a single founder cell is the result of a complex process involving growth, death, and differentiation of cells.\u0026nbsp; Recent technologies help quantify this process: spatial sequencing technologies measure spatial variation in cell types and gene expression across a tissue slice, while new genome editing technologies enable the tracking of cellular lineages during tissue development.\u0026nbsp; In this talk, I will describe to reconstruct development processes using data from these technologies.\u0026nbsp; First, I will present algorithms to align\u0026nbsp;\u003Cem\u003Espatiotemporal\u003C\/em\u003E transcriptomics data from multiple timepoints during the development of an organism.\u0026nbsp; These algorithms use optimal transport to infer ancestral relationships between cell types and to estimate cellular growth rates.\u0026nbsp; Next, I will present an algorithm to infer a cell differentiation map \u2013 a directed graph describing transitions between cell types \u2013 from single-cell lineage tracing data.\u0026nbsp; This algorithm models unmeasured progenitor cell types and infers a cell differentiation map that balances the trade-off between the complexity of the map and the number of unobserved cell type transitions.\u0026nbsp; These algorithms give insight into the\u0026nbsp;gene expression programs that govern the growth and differentiation of cells over space and time.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EBen Raphael is the Graduate Class of 1991 Professor of Computer Science at Princeton University, and an affiliate faculty member at the Columbia University Irving Institute for Cancer Dynamics, the New York Genome Center, and the Rutgers Cancer Institute of New Jersey.\u0026nbsp; His research in computational biology focuses on single-cell and spatial DNA\/RNA sequencing, cancer evolution, lineage tracing, network\/pathway analysis of genomic variation, and structural variation in human and cancer genomes.\u0026nbsp; His group\u2019s algorithms have been used in multiple large-scale cancer genomics projects including The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC), and Human Tumor Atlas Network (HTAN).\u0026nbsp; He is Fellow of the Association for Computing Machinery (ACM) and the International Society for Computational Biology (ISCB).\u0026nbsp; He is the recipient of the 2021 Innovator Award from the ISCB, the Alfred P. Sloan Research Fellowship, the NSF CAREER award, and a Career Award at the Scientific Interface from the Burroughs Wellcome Fund.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Ben Raphael, professor at Princeton University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;April 18, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 230\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Xiuwei Zhang\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EMapping Tissue Organization and Development Across Space and Time\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Princeton University Professor Ben Raphael"}],"uid":"36319","created_gmt":"2025-01-06 14:35:35","changed_gmt":"2025-04-15 12:59:24","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-18T14:00:00-04:00","event_time_end":"2025-04-18T15:00:00-04:00","event_time_end_last":"2025-04-18T15:00:00-04:00","gmt_time_start":"2025-04-18 18:00:00","gmt_time_end":"2025-04-18 19:00:00","gmt_time_end_last":"2025-04-18 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":[],"hg_media":{"675933":{"id":"675933","type":"image","title":"Ben Raphael.jpg","body":null,"created":"1736174198","gmt_created":"2025-01-06 14:36:38","changed":"1736174198","gmt_changed":"2025-01-06 14:36:38","alt":"CSE Seminar Ben Raphael","file":{"fid":"259613","name":"Ben Raphael.jpg","image_path":"\/sites\/default\/files\/2025\/01\/06\/Ben%20Raphael.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/01\/06\/Ben%20Raphael.jpg","mime":"image\/jpeg","size":56005,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/01\/06\/Ben%20Raphael.jpg?itok=N65qoJuP"}}},"media_ids":["675933"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EXiuwei Zhang (xiuwei.zhang@gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"681767":{"#nid":"681767","#data":{"type":"event","title":"2025 Dean\u0027s New Alumni Launch (DNAL)","body":[{"value":"\u003Cul type=\u0022disc\u0022\u003E\u003Cli\u003EName of Event: Dean\u2019s New Alumni Launch (DNAL)\u003C\/li\u003E\u003Cli\u003ELocation: Klaus Atrium\u003C\/li\u003E\u003Cli\u003EDay: May 2nd\u003C\/li\u003E\u003Cli\u003ETime: 5 pm-7 pm\u003C\/li\u003E\u003Cli\u003EType of Event: Reception\u003C\/li\u003E\u003Cli\u003EGraduating seniors can bring up to four guests.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJoin us in the Klaus Atrium on May 2nd from 5pm-7pm for the Dean\u0027s New Alumni Launch! All graduating seniors are invited and can bring up to four guests.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"This is an event for graduating seniors."}],"uid":"35916","created_gmt":"2025-04-14 14:34:14","changed_gmt":"2025-04-14 14:37:06","author":"tbarashango3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-05-02T17:00:00-04:00","event_time_end":"2025-05-02T19:00:00-04:00","event_time_end_last":"2025-05-02T19:00:00-04:00","gmt_time_start":"2025-05-02 21:00:00","gmt_time_end":"2025-05-02 23:00:00","gmt_time_end_last":"2025-05-02 23:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus Atrium","extras":[],"groups":[{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[{"id":"506","name":"alumni"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETiana Person\u003C\/p\u003E\u003Cp\u003Etiana.person@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"681596":{"#nid":"681596","#data":{"type":"event","title":"Joint CSE-IDEaS Distinguished Guest Lecture: Alfio Quarteroni","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Alfio Quarteroni, professor emeritus at Politecnico of Milan and EPFL\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;April 17, 2:00-3:00 p.m. Reception to follow afterward.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, 9th Floor Atrium\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Georgia Tech Institute for Data Engineering and Science (IDEaS) and School of Computational Science and Engineering\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;Scientific Machine Learning: Bridging Artificial Intelligence and Fundamental Sciences\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;While artificial intelligence has achieved remarkable advances in recent years, it still suffers from inaccuracies, uncertainties, and a lack of transparency\u2014often earning the label of a \u0022black box\u0022 technology. Scientific machine learning offers a promising solution by integrating data-driven algorithms with digital models rooted in physical principles. This powerful combination fosters a meaningful synergy between artificial intelligence and human expertise, grounded in natural laws and rigorous scientific frameworks. In this presentation, I will illustrate these concepts through a practical application: the development of a mathematical simulator that accurately replicates cardiac function.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E \u003Ca href=\u0022https:\/\/en.wikipedia.org\/wiki\/Alfio_Quarteroni\u0022 title=\u0022https:\/\/en.wikipedia.org\/wiki\/Alfio_Quarteroni\u0022\u003Ehttps:\/\/en.wikipedia.org\/wiki\/Alfio_Quarteroni\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003EProf. Alfio Quarteroni is Professor Emeritus at the Politecnico of Milan (Italy), and Professor Emeritus at the EPFL (Swiss Federal Institute of Technology). He has been the director of the Chair of Modelling and Scientific Computing at the EPFL (Swiss Federal Institute of Technology), Lausanne (Switzerland), from 1998 until 2017. He is the founder (and first director) of MOX at Politecnico of Milan (2002) and MATHICSE at EPFL, Lausanne (2010). He is co-founder (and President) of MOXOFF, a spin-off company at Politecnico of Milan (2010).\u003C\/p\u003E\u003Cp\u003EHe is member of the Italian Academy of Science (Accademia Nazionale dei Lincei), the European Academy of Science, the Academia Europaea(Academy of Europe), the Lisbon Academy of Sciences, the Istituto Lombardo Accademia di Scienze e Lettere and the Italian Academy of Engineering and Technology.\u003C\/p\u003E\u003Cp\u003EHe is author of 26 books (some of them translated into up to 7 languages), editor of 8 books, author of about 400 papers published in international Scientific Journals and Conference Proceedings, member of the editorial board of 25 International Journals, and Editor in Chief of two-book series published by Springer.\u003C\/p\u003E\u003Cp\u003EHe has been an invited or plenary speaker in more than 300 International Conferences and Academic Departments, in particular he has been plenary speaker at ICM 2006 in Madrid.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAmong his awards and honors are: the NASA Group Achievement Award for the pioneering work in Computational Fluid Dynamics in 1992, the Fanfullino della Riconoscenza 2006, Citt\u00e0 di Lodi, the Premio Capo D\u0027Orlando 2006, the Ghislieri prize, 2013, the International Galileo Galilei prize for Sciences 2015. He is recipient of the Galileian Chair from the Scuola Normale Superiore, Pisa, Italy, 2001, doctor Honoris Causa in Naval Engineering from University of Trieste, Italy, 2003, SIAM Fellow (first row) since 2009, IACM (International Association of Computational Mechanics) Fellow since 2004, honorary fellow of ECCOMAS since 2015, the Courant Lectures 2010, the Euler Lecture 2017, the Russell Marker Lectures 2018, the Pedro Nunes Lectures 2018, the Euler Medal from Eccomas (2021\u201322), the Lagrange Prize from ICIAM (2020\u201323), the Blaise Pascal Medal in Mathematics in 2024 from the European Academy of Sciences, the Ritz-Galerkin medal from ECCOMAS (2021-24).\u003C\/p\u003E\u003Cp\u003EHe has been a member of the IMU Fields Medal Committee for ICM (the International Congress of Mathematicians) 2022.\u003C\/p\u003E\u003Cp\u003EHe is the recipient of the ERC Advanced Grant for the project \u0022MATHCARD\u0022 in 2008, of two ERC PoC (Proof of Concept) grants: \u0022Math2Ward\u0022 in 2012 and \u0022Math4AAARisk\u0022 in 2015, and of another ERC Advanced Grant for the project \u0022iHEART\u0022 in 2017.\u0022\u003C\/p\u003E\u003Cp\u003EHis research interests concern Mathematical Modelling, Numerical Analysis, Scientific Computing, Scientific Machine Learning, and application to fluid mechanics, environment, geophysics, medicine, and the improvement of sports performance.[4] He has been the director of 60 Phd students.[5] His research Group at EPFL has contributed to the preliminary design of Solar Impulse, the Swiss long-range experimental solar-powered aircraft project, and has carried out the mathematical simulation for the optimization of performances of the Alinghi yacht, the winner of two editions (2003 and 2007) of the America\u0027s Cup.\u003C\/p\u003E\u003Cp\u003EIn 2022 he was ranked n.48 in the Top Scientist-Mathematics from research.com, n.1 in Italy.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Alfio Quarteroni, professor emeritus at Politecnico of Milan and EPFL\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;April 17, 2:00-3:00 p.m. Reception to follow afterward.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, 9th Floor Atrium\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Georgia Tech Institute for Data Engineering and Science (IDEaS) and School of Computational Science and Engineering\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;Scientific Machine Learning: Bridging Artificial Intelligence and Fundamental Sciences\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"IDEaS and the School of CSE hosts a distinguished guest lecture from Alfio Quarteroni, professor emeritus at Politecnico of Milan and EPFL"}],"uid":"36319","created_gmt":"2025-04-04 13:33:59","changed_gmt":"2025-04-04 13:39:11","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-17T14:00:00-04:00","event_time_end":"2025-04-17T16:00:00-04:00","event_time_end_last":"2025-04-17T16:00:00-04:00","gmt_time_start":"2025-04-17 18:00:00","gmt_time_end":"2025-04-17 20:00:00","gmt_time_end_last":"2025-04-17 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda Building, 9th Floor Atrium","extras":["free_food"],"hg_media":{"676750":{"id":"676750","type":"image","title":"alfio_quarteroni.jpeg","body":null,"created":"1743773776","gmt_created":"2025-04-04 13:36:16","changed":"1743773776","gmt_changed":"2025-04-04 13:36:16","alt":"Alfio Quarteroni","file":{"fid":"260580","name":"alfio_quarteroni.jpeg","image_path":"\/sites\/default\/files\/2025\/04\/04\/alfio_quarteroni.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/04\/04\/alfio_quarteroni.jpeg","mime":"image\/jpeg","size":62081,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/04\/04\/alfio_quarteroni.jpeg?itok=HMzCbEqr"}}},"media_ids":["676750"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EShkina Halbert\u003Cbr\u003E\u003Ca href=\u0022mailto:shalbert@gatech.edu\u0022\u003Eshalbert@gatech.edu\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"681207":{"#nid":"681207","#data":{"type":"event","title":"College of Computing Faculty Recruiting Candidate Seminar - Miranda Wei","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EPresentation Title:\u0026nbsp;\u003C\/strong\u003ELeveraging Sociotechnical Security and Privacy to Address Online Abuse\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003EThe prevalence and severity of online abuse are on the rise, from toxic content on social media to image-based sexual abuse, as new technologies are weaponized by people who do harm. Further, this abuse disproportionately harms people already marginalized in society, creating unacceptable disparities in safety and reinforcing oppression. Working in the areas of both computer security and privacy (S\u0026amp;P) and human-computer interaction (HCI), I address online abuse as the next frontier of S\u0026amp;P challenges. In this talk, I discuss my approach to sociotechnical threat modeling that (1) characterizes emerging S\u0026amp;P threats in digital safety, with particular attention to the technical and societal factors at play, (2) evaluates the existing support for online abuse, taking an ecosystem-level perspective, and (3) develops conceptual tools that bridge S\u0026amp;P and HCI towards societally informed S\u0026amp;P research. I conclude by outlining how sociotechnical security and privacy can work towards a world where all people using technology feel safe and connected.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Miranda Wei is a PhD candidate in Computer Science \u0026amp; Engineering at the University of Washington, where she is a member of the Security and Privacy Research Lab, the Tech Policy Lab, and DUB. Co-advised by Tadayoshi Kohno and Franziska Roesner, Miranda\u2019s research focuses on human-centered security and privacy, including combating online abuse and supporting sociotechnical safety. She publishes at leading security, privacy, and HCI venues, including USENIX Security, IEEE S\u0026amp;P, CHI, SOUPS, IMC, and CCS, and she has been awarded a John Karat Student Research Award, a Google PhD Fellowship, and paper awards. Previously, she received a M.S. in computer science from the University of Washington and a B.A. in political science and computer science from the University of Chicago.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EMiranda Wei will give a talk about using sociotechnical security and privacy to address online abuse in the Coda Atrium on Thursday, April 3rd.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Miranda Wei will give a talk about using sociotechnical security and privacy to address online abuse"}],"uid":"36253","created_gmt":"2025-03-18 16:45:21","changed_gmt":"2025-03-31 23:22:05","author":"John Popham","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-03T10:30:00-04:00","event_time_end":"2025-04-03T11:30:00-04:00","event_time_end_last":"2025-04-03T11:30:00-04:00","gmt_time_start":"2025-04-03 14:30:00","gmt_time_end":"2025-04-03 15:30:00","gmt_time_end_last":"2025-04-03 15:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda Building, 9th Floor Atrium","extras":[],"hg_media":{"676717":{"id":"676717","type":"image","title":"Miranda-Wei.png","body":null,"created":"1743430543","gmt_created":"2025-03-31 14:15:43","changed":"1743430543","gmt_changed":"2025-03-31 14:15:43","alt":"graphic with event description, location, speaker, and presentation title","file":{"fid":"260540","name":"Miranda-Wei.png","image_path":"\/sites\/default\/files\/2025\/03\/31\/Miranda-Wei.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/03\/31\/Miranda-Wei.png","mime":"image\/png","size":576841,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/03\/31\/Miranda-Wei.png?itok=To7_0ofM"}}},"media_ids":["676717"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"660367","name":"School of Cybersecurity and Privacy"}],"categories":[],"keywords":[{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"679171":{"#nid":"679171","#data":{"type":"event","title":"School of CSE Seminar Series: Na Li","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Na Li, professor at Harvard University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;April 4, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, 9th Floor Atrium\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Bo Dai\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EClosing the Loop: From Data to Actions for Intelligent Physical Systems\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E The explosive growth of machine learning and data-driven methodologies have revolutionized numerous fields. Yet, translating these successes to the domain of dynamical physical systems remains a significant challenge, hindered by the complex and often unpredictable nature of such environments. Closing the loop from data to actions in these systems faces many difficulties, stemming from the need for sample efficiency and computational feasibility amidst intricate dynamics, along with many other requirements such as verifiability, robustness, and safety. In this talk, we bridge this gap by introducing innovative approaches that harness representation-based methods, domain knowledge, and the physical structures of systems. We present a comprehensive framework that integrates these components to develop reinforcement learning and control strategies that are not only tailored for the complexities of physical systems but also achieve efficiency, safety, and robustness with provable performance.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003ENa Li is a Winokur Family Professor of Electrical Engineering and Applied Mathematics at Harvard University and a visiting researcher in Mitsubishi Electric Research laboratories (MERL). \u0026nbsp;She received her Bachelor\u0027s degree in Mathematics from Zhejiang University in 2007 and Ph.D. degree in Control and Dynamical systems from California Institute of Technology in 2013. She was a postdoctoral associate at the Massachusetts Institute of Technology 2013-2014. \u0026nbsp;She has held a variety of short-term visiting appointments including the Simons Institute for the Theory of Computing, MIT, and Google Brain. Her research lies in the control, learning, and optimization of networked systems, including theory development, algorithm design, and applications to real-world cyber-physical societal system. \u0026nbsp;She has been an associate editor for IEEE Transactions on Automatic Control, Systems \u0026amp; Control Letters, IEEE Control Systems Letters, and served on the organizing committee for a few conferences. \u0026nbsp;She received the NSF CAREER award, AFOSR Young Investigator Award, ONR Young Investigator Award, \u0026nbsp;Donald P. Eckman Award, McDonald Mentoring Award, IFAC Distinguished Lecture, IFAC Manfred Thoma Medal, Ruberti Young Researcher Prize, along with other awards.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Na Li, professor at Harvard University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;April 4, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, 9th Floor Atrium\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Bo Dai\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EClosing the Loop: From Data to Actions for Intelligent Physical Systems\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Harvard University Professor Na Li"}],"uid":"36319","created_gmt":"2025-01-06 14:30:15","changed_gmt":"2025-03-31 16:13:49","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-04T14:00:00-04:00","event_time_end":"2025-04-04T15:00:00-04:00","event_time_end_last":"2025-04-04T15:00:00-04:00","gmt_time_start":"2025-04-04 18:00:00","gmt_time_end":"2025-04-04 19:00:00","gmt_time_end_last":"2025-04-04 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda Building, 9th Floor Atrium","extras":[],"hg_media":{"672655":{"id":"672655","type":"image","title":"Na Li.jpeg","body":null,"created":"1704299309","gmt_created":"2024-01-03 16:28:29","changed":"1704299309","gmt_changed":"2024-01-03 16:28:29","alt":"Harvard University Na Li","file":{"fid":"255932","name":"Na Li.jpeg","image_path":"\/sites\/default\/files\/2024\/01\/03\/Na%20Li.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/01\/03\/Na%20Li.jpeg","mime":"image\/jpeg","size":182119,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/01\/03\/Na%20Li.jpeg?itok=n5WtJKML"}}},"media_ids":["672655"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBo Dai (bodai@cc.gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"681455":{"#nid":"681455","#data":{"type":"event","title":"End of the Year Celebration","body":[{"value":"\u003Cdiv\u003EThis is an end of the year gathering for the students to celebrate the end of the academic year. This event will include bowling, pool, and fellowship.\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003EFood and drinks will be provided.\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis is an end of the year gathering for the students to celebrate the end of the academic year.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"End of the year gathering for students"}],"uid":"35916","created_gmt":"2025-03-31 13:58:22","changed_gmt":"2025-03-31 14:05:15","author":"tbarashango3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-18T15:00:00-04:00","event_time_end":"2025-04-18T18:00:00-04:00","event_time_end_last":"2025-04-18T18:00:00-04:00","gmt_time_start":"2025-04-18 19:00:00","gmt_time_end":"2025-04-18 22:00:00","gmt_time_end_last":"2025-04-18 22:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Tech Rec","extras":["free_food"],"groups":[{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETroy Peace\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022mailto:tpeace@cc.gatech.edu\u0022\u003Etpeace@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"681242":{"#nid":"681242","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Jiayun (Peter) Wang","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EJiayun (Peter) Wang, Postdoctoral Researcher from Caltech\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, April 1, 2025 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business, Room 203 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/TeXkQgzYQZkuUMJY7\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ECoffee and snacks provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EAny-Resolution Neural Operator for Inverse Problems\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003EInverse problems, the process of estimating the latent cause that explains the observations, are some of the most important problems in science. Solving inverse problems like computational imaging is fundamental to many fields\u2014from healthcare diagnostics to decision-making\u2014yet the problem is often challenging because observations can be incomplete or low-resolution. Traditional model-based methods struggle with these ill-posed inverse problems, where multiple solutions can explain the same data. Neural networks, another way to solve the inverse problem, can overfit to specific resolutions. To tackle the challenges, this talk introduces operator learning that approximates solution operators for inverse problems in any resolution. By incorporating physics-based loss functions (such as enforcing known equations that model the forward problem of photoacoustic imaging) and designing resolution-agnostic architectures (via signal decomposition on bases) that adapt and learn seamlessly to different resolutions (such as MRI and ultrasound imaging), our approach reconstructs high-quality images from real-world observations. My future work will explore eliminating the need for paired data for training neural operators and learning emergent features via self-supervised learning, supported by my previous work on self-supervised representation learning that leverages spatial and temporal co-occurrence to capture data similarity, with applications in ocular disease diagnosis and assessing surgeon skills from unlabeled videos. I will also explore integrating sensing with feature learning and combining forward and inverse problem formulations to broaden their application across science and engineering.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003EJiayun (Peter) Wang is a postdoctoral researcher at the California Institute of Technology, working with Prof. Anima Anandkumar. He received his Ph.D. from UC Berkeley in 2023, advised by Prof. Stella Yu. He develops core machine learning and computer vision methods for healthcare applications. His work has been recognized with three Best Paper Awards (Machine Learning for Health 2023 \u0026amp; 2024, CVPR Workshop 2019). His research is supported by the NIH, NSF, ONR, and private foundations including the Roberta Smith Fund and Schmidt Sciences. He also gained industry experience at Amazon and Aizip, where he focused on translating research into robust and efficient on-device AI solutions. More information can be found at his website: \u003Ca href=\u0022https:\/\/pwang.pw\/\u0022\u003Ehttps:\/\/pwang.pw\/\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EJiayun (Peter) Wang, Postdoctoral Researcher from Caltech\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, April 1, 2025 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business, Room 203 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/TeXkQgzYQZkuUMJY7\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EAny-Resolution Neural Operator for Inverse Problems\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Any-Resolution Neural Operator for Inverse Problems"}],"uid":"36319","created_gmt":"2025-03-20 13:23:22","changed_gmt":"2025-03-31 12:34:05","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-01T11:00:00-04:00","event_time_end":"2025-04-01T12:00:00-04:00","event_time_end_last":"2025-04-01T12:00:00-04:00","gmt_time_start":"2025-04-01 15:00:00","gmt_time_end":"2025-04-01 16:00:00","gmt_time_end_last":"2025-04-01 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Scheller, Room 203","extras":["free_food"],"hg_media":{"676618":{"id":"676618","type":"image","title":"Jiayun--Peter--Wang-photo.jpg","body":null,"created":"1742477096","gmt_created":"2025-03-20 13:24:56","changed":"1742477096","gmt_changed":"2025-03-20 13:24:56","alt":"CSE Faculty Candidate Seminar Jiayun (Peter) Wang","file":{"fid":"260427","name":"Jiayun--Peter--Wang-photo.jpg","image_path":"\/sites\/default\/files\/2025\/03\/20\/Jiayun--Peter--Wang-photo.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/03\/20\/Jiayun--Peter--Wang-photo.jpg","mime":"image\/jpeg","size":13818,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/03\/20\/Jiayun--Peter--Wang-photo.jpg?itok=azz6mcB4"}}},"media_ids":["676618"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EArlene Washington-Capers\u003Cbr\u003Earlene.washington@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"681241":{"#nid":"681241","#data":{"type":"event","title":"The Fusion of Art and Technology at Georgia Tech","body":[{"value":"\u003Cdiv\u003E\u003Cp lang=\u0022EN-US\u0022\u003E\u003Cstrong\u003EWhat: \u003C\/strong\u003EGeorgia Tech Art and AI\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003E\u003Cstrong\u003EWhen:\u003C\/strong\u003E April 3, 4 \u2013 6 p.m.; April 4, 12 \u2013 2 p.m.\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp lang=\u0022EN-US\u0022\u003E\u003Cstrong\u003EWhere: \u003C\/strong\u003ECoda Plaza, 756 W Peachtree St NW, Atlanta, GA 30308\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003E\u003Cstrong\u003EWho:\u003C\/strong\u003E Gil Weinberg with Amit Rogel; Mark Leibert, Ethan Trewhitt, Kyle Barone, Claire Matheny; Bojana Ginn with technical assistance from Supratim Pait, Benjamin Collins, Mya Love Griesbaum; Brian Magerko with Milka Trajkova\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ERSVP:\u003C\/strong\u003E \u003Ca href=\u0022https:\/\/www.eventbrite.com\/e\/the-fusion-of-art-and-technology-at-georgia-tech-day-1-tickets-1284844898679?aff=oddtdtcreator\u0022\u003Ehttps:\/\/www.eventbrite.com\/e\/the-fusion-of-art-and-technology-at-georgia-tech-day-1-tickets-1284844898679?aff=oddtdtcreator\u003C\/a\u003E\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003E\u003Cstrong\u003ESynopsis of digital exhibit:\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003EAt Georgia Tech researchers and artists are incorporating AI into their research, art, and course design. The following works by Gil Weinberg with Amit Rogel; Mark Leibert, Ethan Trewhitt, Kyle Barone, Claire Matheny; Bojana Ginn; and Brian Magerko with Milka Trajkova explore the possibilities and limits of AI within creativity.\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003EGinn incorporates AI-inspired design into her sculptures which are then fed to plastic-eating mushrooms as a comment on digitization, mental wellbeing, biotechnology, and the climate crisis. Leibert teaches a Vertically Integrated Project (VIP) at Georgia Tech to study the collision between art and AI and this piece is an early (2019-2022) iteration of what students, Kyle Barone and Claire Matheny, created with AI, co advised by Ethan Trewhitt. Magerko and Trajkova use dancers and movement to train AI avatars to dance and move with humans, blending human artistry and embodiment with artificial intelligence. And Weinberg uses AI, robotics, music, and visuals to ponder the boundaries of AI and creativity.\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003EThis digital art exhibit is in partnership with Microsoft\u2019s AI Day in the A, 404 Day, Portman, and Midtown Alliance.\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cdiv\u003E\u003Cp lang=\u0022EN-US\u0022\u003E\u003Cstrong\u003EWhat: \u003C\/strong\u003EGeorgia Tech Art and AI\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003E\u003Cstrong\u003EWhen:\u003C\/strong\u003E April 3, 4 \u2013 6 p.m.; April 4, 12 \u2013 2 p.m.\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp lang=\u0022EN-US\u0022\u003E\u003Cstrong\u003EWhere: \u003C\/strong\u003ECoda Plaza, 756 W Peachtree St NW, Atlanta, GA 30308\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003E\u003Cstrong\u003EWho:\u003C\/strong\u003E Gil Weinberg with Amit Rogel; Mark Leibert, Ethan Trewhitt, Kyle Barone, Claire Matheny; Bojana Ginn with technical assistance from Supratim Pait, Benjamin Collins, Mya Love Griesbaum; Brian Magerko with Milka Trajkova\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ERSVP:\u003C\/strong\u003E \u003Ca href=\u0022https:\/\/www.eventbrite.com\/e\/the-fusion-of-art-and-technology-at-georgia-tech-day-1-tickets-1284844898679?aff=oddtdtcreator\u0022\u003Ehttps:\/\/www.eventbrite.com\/e\/the-fusion-of-art-and-technology-at-georgia-tech-day-1-tickets-1284844898679?aff=oddtdtcreator\u003C\/a\u003E\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003E\u003Cstrong\u003ESynopsis of digital exhibit:\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003EAt Georgia Tech researchers and artists are incorporating AI into their research, art, and course design. The following works by Gil Weinberg with Amit Rogel; Mark Leibert, Ethan Trewhitt, Kyle Barone, Claire Matheny; Bojana Ginn; and Brian Magerko with Milka Trajkova explore the possibilities and limits of AI within creativity.\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003E\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003EGinn incorporates AI-inspired design into her sculptures which are then fed to plastic-eating mushrooms as a comment on digitization, mental wellbeing, biotechnology, and the climate crisis. Leibert teaches a Vertically Integrated Project (VIP) at Georgia Tech to study the collision between art and AI and this piece is an early (2019-2022) iteration of what students, Kyle Barone and Claire Matheny, created with AI, co advised by Ethan Trewhitt. Magerko and Trajkova use dancers and movement to train AI avatars to dance and move with humans, blending human artistry and embodiment with artificial intelligence. And Weinberg uses AI, robotics, music, and visuals to ponder the boundaries of AI and creativity.\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003EThis digital art exhibit is in partnership with Microsoft\u2019s AI Day in the A, 404 Day, Portman, and Midtown Alliance.\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Art and AI"}],"uid":"28150","created_gmt":"2025-03-19 22:21:34","changed_gmt":"2025-03-28 17:56:25","author":"Birney Robert","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-03T16:00:00-04:00","event_time_end":"2025-04-03T18:00:00-04:00","event_time_end_last":"2025-04-03T18:00:00-04:00","gmt_time_start":"2025-04-03 20:00:00","gmt_time_end":"2025-04-03 22:00:00","gmt_time_end_last":"2025-04-03 22:00:00","rrule":"FREQ=DAILY","timezone":"America\/New_York"},"location":"Coda Plaza","extras":[],"hg_media":{"676616":{"id":"676616","type":"image","title":"Bojana Ginn - Orchid Dreams","body":null,"created":"1742423860","gmt_created":"2025-03-19 22:37:40","changed":"1742423979","gmt_changed":"2025-03-19 22:39:39","alt":"Bojana Ginn - Orchid Dreams","file":{"fid":"260425","name":"BojanaGinnod2-copy.jpg","image_path":"\/sites\/default\/files\/2025\/03\/19\/BojanaGinnod2-copy.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/03\/19\/BojanaGinnod2-copy.jpg","mime":"image\/jpeg","size":334789,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/03\/19\/BojanaGinnod2-copy.jpg?itok=fqVbn_uK"}},"676615":{"id":"676615","type":"image","title":"AI Day in the A","body":null,"created":"1742423295","gmt_created":"2025-03-19 22:28:15","changed":"1742423358","gmt_changed":"2025-03-19 22:29:18","alt":"AI Day in the A graphic","file":{"fid":"260423","name":"AIDay_Logo_PNG.png","image_path":"\/sites\/default\/files\/2025\/03\/19\/AIDay_Logo_PNG.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/03\/19\/AIDay_Logo_PNG.png","mime":"image\/png","size":463336,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/03\/19\/AIDay_Logo_PNG.png?itok=4iNR5i8G"}}},"media_ids":["676616","676615"],"related_links":[{"url":"https:\/\/www.aidayinthea.com\/","title":"Microsoft\u0027s AI Day in the A"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"659557","name":"Extension of Self"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1792","name":"Arts and Performance"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBirney Robert\u003C\/p\u003E\u003Cp\u003Ebirney.robert@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"681423":{"#nid":"681423","#data":{"type":"event","title":"Exchange Programs Info Session for CS Majors","body":[{"value":"\u003Cp\u003EThinking of studying abroad? 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Klaus, the Klaus Startup Challenge is an entry-level pitch competition\u0026nbsp;designed to prepare beginner entrepreneurs for future competitions and funding opportunities. \u003Cstrong\u003EFive winning teams will each earn $150,000 toward their startup!\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EAs part of the Startup Challenge, five winning teams will receive an investment of $150,000 to kickstart your idea, as well as the support of the Fusen team as your strategic advisor to help you grow and scale your company.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The Klaus Startup Challenge is an entry-level pitch competition designed to prepare beginner entrepreneurs for future competitions and funding opportunities."}],"uid":"35916","created_gmt":"2025-03-25 15:24:07","changed_gmt":"2025-03-25 15:44:00","author":"tbarashango3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-02T16:00:00-04:00","event_time_end":"2025-04-02T21:00:00-04:00","event_time_end_last":"2025-04-02T21:00:00-04:00","gmt_time_start":"2025-04-02 20:00:00","gmt_time_end":"2025-04-03 01:00:00","gmt_time_end_last":"2025-04-03 01:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus Advanced Computing Building, Room 1116","extras":[],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/klaus-startup-challenge","title":""}],"groups":[{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[{"id":"168007","name":"start-up"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ESpencer Banko\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022mailto:sbanko6@gatech.edu\u0022\u003Esbanko6@gatech.edu\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"679170":{"#nid":"679170","#data":{"type":"event","title":"School of CSE Seminar Series: Eli Chien","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Eli Chien, postdoctoral fellow at Georgia Tech\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;March 28, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 230\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Anqi Wu\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EMachine Unlearning: The General Theory and LLM Practice of Privacy\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003E\u201cThe right to be forgotten\u201d is the concept from GDPR that data holder (server) should erase the data and the corresponding derivatives whenever the original data providers (users) request for it. It is the common practice that LLM are trained on extensive and diverse dataset, which are usually generated from users. While retraining from scratch without those data is the gold standard, it is prohibitively costly. The goal of machine unlearning is to develop efficient approaches to approximate such gold standard, thus obeying the privacy regulation in laws like GDPR. In this talk, I will first introduce our empirical studies of unlearning for LLM, which highlight pitfalls of current empirical unlearning evaluation and weaknesses of heuristic methods. Then we will dive into the generic machine unlearning problem and my recent progress in unlearning theory.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Eli Chien is currently a Postdoctoral Fellow at the Georgia Institute of Technology, working with Professor Pan Li. He obtained his Ph.D. from the University of Illinois, Urbana-Champaign, advised by Professor Olgica Milenkovic. 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Existing technical protections against digital harms fail to address offline harms caused by digital systems. How can we enjoy the benefits of these systems while reducing the harm? In this talk, I present three projects that show how I combine techniques from computer security and human-computer interaction (HCI) to make technology safer, through: (1) single-platform defenses, (2) multi-platform defenses, and (3) post-harm mitigations. Looking ahead, my work suggests new directions that can expand the scope and impact of computer security and HCI research.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Veronica Rivera is a postdoctoral researcher in the Computer Science department at Stanford University, where she is advised by Zakir Durumeric and works with the Institute for Human-Centered AI, the Center for Ethics in Society, and the Empirical Security Research Group. In her research, she combines approaches from Computer Security and Human-Computer Interaction to design technical protections against digital harms, like hate, harassment, and physical abuse, that occur across user groups, platforms, and in physical spaces. Previously she received a PhD in Computational Media from UC Santa Cruz, where she was advised by David Lee, and she was a visiting researcher at the Max Planck Institute for Software Systems, where she was advised by Elissa Redmiles. She has a B.S. in Computer Science and Math from Harvey Mudd College.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EVeronica Rivera will give a talk about digital safety in the Coda Atrium on Tuesday, April 8th. 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As these systems grow increasingly complex, securing them requires collective and broader community efforts beyond in-house teams. Third-party red-teaming plays a crucial role in this shared responsibility by conducting rigorous security assessments to uncover hidden vulnerabilities and inform proactive defense strategies. However, a major challenge for independent security teams is the frequent lack of access to the system of interest, particularly its source code, which hinders red-teaming efforts. In this talk, I will introduce probabilistic binary analysis, a novel framework that leverages probabilistic modeling to analyze compiled binaries when source code is unavailable. By systematically examining binary behavior and rigorously modeling the uncertainties inherent in the analysis process, this approach uncovers security flaws and provides actionable insights for proactive defense. Our method has already demonstrated real-world impact by identifying critical vulnerabilities in widely used systems, earning substantial bug bounties, and receiving recognition through the SIGSAC Doctoral Dissertation Award.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Zhuo Zhang is a postdoctoral researcher at Purdue University specializing in software and system security. His research has been published in top-tier venues, including IEEE S\u0026amp;P, USENIX Security, ACM CCS, NDSS, ICSE, OOPSLA, and PLDI. Zhuo\u0027s projects have collectively garnered approximately 2,000 GitHub stars and have been adopted in real-world practice by DARPA and ONR. His work has received several prestigious accolades, including Distinguished Paper Awards at OOPSLA 2019 and CCS 2024, as well as the 2024 ACM SIGSAC Doctoral Dissertation Award. He earned his Ph.D. in Computer Science from Purdue University in 2023 under the guidance of Prof. Xiangyu Zhang.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EZhuo Zhang will give a talk about advancing security red-teaming through probabilistic binary analysis in the Coda Atrium on Thursday, March 27th. A virtual is available through Zoom.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Zhuo Zhang will give a talk about advancing security red-teaming through probabilistic binary analysis "}],"uid":"36253","created_gmt":"2025-03-18 16:42:00","changed_gmt":"2025-03-19 14:37:34","author":"John Popham","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-03-27T11:00:00-04:00","event_time_end":"2025-03-27T12:30:00-04:00","event_time_end_last":"2025-03-27T12:30:00-04:00","gmt_time_start":"2025-03-27 15:00:00","gmt_time_end":"2025-03-27 16:30:00","gmt_time_end_last":"2025-03-27 16:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda Building, 9th Floor Atrium","extras":[],"hg_media":{"676598":{"id":"676598","type":"image","title":"Zhuo-Zhang.jpg","body":null,"created":"1742394391","gmt_created":"2025-03-19 14:26:31","changed":"1742394391","gmt_changed":"2025-03-19 14:26:31","alt":"Event promotion graphic with date, time, location, and talk title. ","file":{"fid":"260405","name":"Zhuo-Zhang.jpg","image_path":"\/sites\/default\/files\/2025\/03\/19\/Zhuo-Zhang.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/03\/19\/Zhuo-Zhang.jpg","mime":"image\/jpeg","size":1315761,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/03\/19\/Zhuo-Zhang.jpg?itok=5gYSp96B"}}},"media_ids":["676598"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"660367","name":"School of Cybersecurity and Privacy"}],"categories":[],"keywords":[{"id":"182438","name":"Coda Events"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"681017":{"#nid":"681017","#data":{"type":"event","title":"SCP Seminar Talk: Yuanyuan Yuan Postdoc at ETH Zurich","body":[{"value":"\u003Cp\u003EYuanyuan Yuan will give a talk about securing AI systems on Tuesday, March 11th, at 11:00am in the Coda Atrium. It will also be available on Zoom.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EPresentation Title: \u003C\/strong\u003EToward Secure AI Systems\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EAs the era of Artificial General Intelligence (AGI) approaches, AI security has become a critical concern. My research aims to secure AI by holistically considering the entire system, including the AI model, software, hardware, and external physical environment. In this talk, I will focus on data leakage to demonstrate my research on AI system security. First, I will show how hardware activities can be exploited to break algorithmic and software-level security guarantees in AI systems, creating new data leakage opportunities. I will then illustrate how intrinsic AI characteristics (e.g., non-linearity) can further amplify these leakages. Together, their joint effect enables a malicious user to infer other users\u0027 data (e.g., images, text, or audio) and allows untrusted hosts (e.g., AI service providers) to circumvent data protections in Trusted Execution Environments (TEEs). Next, I will introduce how I mitigate these hardware issues at the software level. To conclude, I will discuss how the demonstrated research philosophy has guided my research within a broader discipline of AI system security and outline my future research agenda in this field.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Yuanyuan Yuan is a postdoctoral researcher at ETH Zurich. Prior to that, he obtained his Ph.D. from the Hong Kong University of Science and Technology (HKUST) in 2024. Yuanyuan\u0027s research focuses on AI system security: he revisits AI security from a holistic, system-wide perspective and studies how AI reshapes the system\u0027s security landscape. Yuanyuan\u0027s research has been published in tier-one security, software engineering, and AI venues, such as IEEE S\u0026amp;P, USENIX Security, CCS, ICSE, and ICLR. His work has also been presented at Black Hat USA and Black Hat Europe, two world-renowned industrial security conferences. In recognition of his outstanding thesis research, he was the sole recipient of the Best Ph.D. Dissertation Award from the Department of CSE at HKUST in 2024.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWebinar Link for Job Talk \u00e0 \u003C\/strong\u003E\u003Ca href=\u0022https:\/\/gatech.zoom.us\/webinar\/register\/WN_YeXYs1vKRFiEH7zxV4Q-8g\u0022 title=\u0022https:\/\/gatech.zoom.us\/webinar\/register\/WN_YeXYs1vKRFiEH7zxV4Q-8g\u0022\u003E\u003Cstrong\u003Ehttps:\/\/gatech.zoom.us\/webinar\/register\/WN_YeXYs1vKRFiEH7zxV4Q-8g\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EYuanyuan Yuan will give a talk about securing AI systems on Tuesday, March 11th, at 11:00am in the Coda Atrium. It will also be available on Zoom.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Yuanyuan Yuan will give a talk on Tuesday, March 11th, at 11:00am in the Coda Atrium.  "}],"uid":"36253","created_gmt":"2025-03-07 18:43:04","changed_gmt":"2025-03-07 18:46:21","author":"John Popham","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-03-11T11:00:00-04:00","event_time_end":"2025-03-11T12:30:00-04:00","event_time_end_last":"2025-03-11T12:30:00-04:00","gmt_time_start":"2025-03-11 15:00:00","gmt_time_end":"2025-03-11 16:30:00","gmt_time_end_last":"2025-03-11 16:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda Building, 9th Floor Atrium","extras":["free_food"],"hg_media":{"676506":{"id":"676506","type":"image","title":"Yuanyuan-Yuan.jpg","body":null,"created":"1741373050","gmt_created":"2025-03-07 18:44:10","changed":"1741373050","gmt_changed":"2025-03-07 18:44:10","alt":"Event graphic","file":{"fid":"260303","name":"Yuanyuan-Yuan.jpg","image_path":"\/sites\/default\/files\/2025\/03\/07\/Yuanyuan-Yuan.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/03\/07\/Yuanyuan-Yuan.jpg","mime":"image\/jpeg","size":1285150,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/03\/07\/Yuanyuan-Yuan.jpg?itok=h7equ5z4"}}},"media_ids":["676506"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"660367","name":"School of Cybersecurity and Privacy"}],"categories":[],"keywords":[{"id":"187812","name":"artificial intelligence (AI)"}],"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":""}},"681006":{"#nid":"681006","#data":{"type":"event","title":"Inaugural Workshop on AI for Maternal and Child Health (AI4MCH)","body":[{"value":"\u003Cp dir=\u0022ltr\u0022\u003EThe inaugural workshop on \u003Ca href=\u0022https:\/\/www.ai4mch.com\/home\u0022\u003EAI for Maternal and Child Health (AI4MCH)\u003C\/a\u003E will be jointly hosted by Georgia Institute of Technology and Emory University, with the goal of bringing together academics and practitioners globally from computing and AI, public and global health, medicine, social sciences, policy, and more.\u003C\/p\u003E\u003Cp dir=\u0022ltr\u0022\u003EWe are currently at a critical inflection point in maternal and child health. Health outcomes globally have slowed in the last decade and Georgia, in particular, still has one of the highest rates of maternal and child mortality in the United States. The surge of data availability in this space and developments in AI research present opportunities, as well as new challenges, for accelerating progress in this space. Atlanta is uniquely situated to pioneer efforts in this area with its highly diverse patient and provider population, vibrant academic ecosystem for health and computing research with Emory University, Georgia Tech, Morehouse, policy-oriented institutions such as the CDC and the Carter Center, and rich history of community-based organizations for reproductive health.\u003C\/p\u003E\u003Cp dir=\u0022ltr\u0022\u003EThe event will be co-hosted by the \u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022 target=\u0022_blank\u0022\u003ESchool of Computational Science and Engineering at Georgia Tech\u003C\/a\u003E, and the \u003Ca href=\u0022https:\/\/med.emory.edu\/departments\/biomedical-informatics\/index.html#:~:text=Department%20of%20Biomedical%20Informatics,-About%20Us\u0026amp;text=Our%20department%20is%20a%20catalyst,applied%20machine%20learning%20and%20mHealth.\u0022 target=\u0022_blank\u0022\u003EDepartments of Biomedical Informatics and Global Health at Emory University\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe inaugural workshop on AI for Maternal and Child Health will be jointly hosted by Georgia Institute of Technology and Emory University, with the goal of bringing together academics and practitioners globally from computing and AI, public and global health, medicine, social sciences, policy, and more.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The inaugural workshop on AI for Maternal and Child Health will be jointly hosted by Georgia Institute of Technology and Emory University on April 1."}],"uid":"36319","created_gmt":"2025-03-07 16:16:59","changed_gmt":"2025-03-07 16:23:50","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-01T09:00:00-04:00","event_time_end":"2025-04-01T17:00:00-04:00","event_time_end_last":"2025-04-01T17:00:00-04:00","gmt_time_start":"2025-04-01 13:00:00","gmt_time_end":"2025-04-01 21:00:00","gmt_time_end_last":"2025-04-01 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Emory Univerisy, HSRB I Auditorium","extras":[],"hg_media":{"676503":{"id":"676503","type":"image","title":"AI4MCH.jpeg","body":null,"created":"1741364453","gmt_created":"2025-03-07 16:20:53","changed":"1741364453","gmt_changed":"2025-03-07 16:20:53","alt":"Inaugural Workshop on AI for Maternal and Child Health (AI4MCH)","file":{"fid":"260300","name":"AI4MCH.jpeg","image_path":"\/sites\/default\/files\/2025\/03\/07\/AI4MCH.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/03\/07\/AI4MCH.jpeg","mime":"image\/jpeg","size":210063,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/03\/07\/AI4MCH.jpeg?itok=LStfIVJh"}}},"media_ids":["676503"],"related_links":[{"url":"https:\/\/www.ai4mch.com\/home","title":"Inaugural Workshop on AI for Maternal and Child Health"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"189814","name":"go-researchevents"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1789","name":"Conference\/Symposium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAssistant Professor Kai Wang\u003Cbr\u003Ekwang692@gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"680907":{"#nid":"680907","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Zongyi Li","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EZongyi Li, Ph.D. Candidate from Caltech\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, March 13, 2025 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 114 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/m7KfgEEVWV581bxD9\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ECoffee and snacks provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ENeural Operator for Scientific Computing\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;Scientific computing, which aims to accurately simulate complex physical phenomena, often requires substantial computational resources. By viewing data as continuous functions, we leverage the continuum structures of function spaces to enable efficient large-scale simulations. We introduce the neural operator, a machine learning framework designed to approximate solution operators in infinite-dimensional spaces, achieving scalable physical simulations across diverse resolutions and geometries. Beginning with the Fourier Neural Operator, we explore recent advancements including scale-consistent learning techniques and adaptive mesh methods. We demonstrate the real-world impact of our framework through applications in weather prediction, carbon capture, and plasma dynamics, achieving speedups of several orders of magnitude.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Zongyi Li is a final-year Ph.D. candidate in Computing + Mathematical Sciences at Caltech, working with Prof. Anima Anandkumar and Prof. Andrew Stuart. His research focuses on developing neural operator methods for accelerating scientific simulations. He has completed three summer internships at Nvidia (2022-2024). Zongyi received his undergraduate degrees in Computer Science and Mathematics from Washington University in St. Louis (2015-2019). His research has been supported by the Kortschak Scholarship, PIMCO Fellowship, Amazon AI4Science Fellowship, and Nvidia Fellowship.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EZongyi Li, Ph.D. Candidate from Caltech\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, March 13, 2025 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 114 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/m7KfgEEVWV581bxD9\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ENeural Operator for Scientific Computing\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Neural Operator for Scientific Computing"}],"uid":"36319","created_gmt":"2025-03-05 12:57:57","changed_gmt":"2025-03-05 13:26:22","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-03-13T11:00:00-04:00","event_time_end":"2025-03-13T12:00:00-04:00","event_time_end_last":"2025-03-13T12:00:00-04:00","gmt_time_start":"2025-03-13 15:00:00","gmt_time_end":"2025-03-13 16:00:00","gmt_time_end_last":"2025-03-13 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":[],"hg_media":{"676455":{"id":"676455","type":"image","title":"zongyi-photo-2.jpeg","body":null,"created":"1741179549","gmt_created":"2025-03-05 12:59:09","changed":"1741179549","gmt_changed":"2025-03-05 12:59:09","alt":"CSE Faculty Candidate Seminar Zongyi Li","file":{"fid":"260248","name":"zongyi-photo-2.jpeg","image_path":"\/sites\/default\/files\/2025\/03\/05\/zongyi-photo-2.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/03\/05\/zongyi-photo-2.jpeg","mime":"image\/jpeg","size":60246,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/03\/05\/zongyi-photo-2.jpeg?itok=VAifANht"}}},"media_ids":["676455"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EArlene Washington-Capers\u003Cbr\u003Earlene.washington@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"680908":{"#nid":"680908","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Keqiang Yan","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EKeqiang Yan, Ph.D. Candidate from Texas A\u0026amp;M University\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, March 27, 2025 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 230 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/m7KfgEEVWV581bxD9\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ECoffee and snacks provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EAI for Materials Discovery: Graphs, Language Models, and Agents\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;Artificial intelligence (AI) is transforming scientific discovery, particularly in materials science, by accelerating the prediction and design of materials with desired properties. Traditional physics-based modeling of atomic systems is computationally prohibitive for large-scale problems, and AI addresses this challenge by learning the underlying physics from data, thereby accelerating discoveries. In this talk I will present advances in AI-driven materials discovery, focusing on integrating physical principles, such as symmetry and equivariance, into AI models for accurate prediction and generation. My key approaches include geometric deep learning, language models, and AI agents, which collectively enhance the efficiency of materials discovery and strengthen the connection between AI and physical sciences. I will discuss my ongoing and future work, aiming at developing foundation models for materials and generic atomic systems, along with automated AI-driven discovery pipelines. I will conclude by presenting my future plans in tackling more complex and multiscale systems, spanning disordered materials and high-entropy alloys to general AI for science problems. Altogether, my current and future research demonstrates the close synergy among AI, physics, chemistry, and materials science.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Keqiang Yan is a Ph.D. candidate in Computer Science at Texas A\u0026amp;M University, working on scientific machine learning and AI for science. His work spans geometric deep learning and large language models for applications in materials science, protein science, and drug discovery. His work has been published in premier venues including NeurIPS, ICML, ICLR, Science Advances, and JMLR, and has been recognized with a D.E. Shaw Research Doctoral \u0026amp; Postdoctoral Fellowship. In addition to publishing his work, Keqiang Yan has contributed to open-source projects, including DIG and AIRS with over 2.4K stars on GitHub, and achieved top performance in open challenges, including the Open Catalyst Challenge (#3) and the Matbench formation energy (#1). Keqiang Yan has been a program committee member of ICML, ICLR, and NeurIPS regularly.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EKeqiang Yan, Ph.D. Candidate from Texas A\u0026amp;M University\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, March 27, 2025 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 230 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/m7KfgEEVWV581bxD9\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EAI for Materials Discovery: Graphs, Language Models, and Agents\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: AI for Materials Discovery: Graphs, Language Models, and Agents"}],"uid":"36319","created_gmt":"2025-03-05 12:52:50","changed_gmt":"2025-03-05 13:01:02","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-03-27T11:00:00-04:00","event_time_end":"2025-03-27T12:00:00-04:00","event_time_end_last":"2025-03-27T12:00:00-04:00","gmt_time_start":"2025-03-27 15:00:00","gmt_time_end":"2025-03-27 16:00:00","gmt_time_end_last":"2025-03-27 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":["free_food"],"hg_media":{"676454":{"id":"676454","type":"image","title":"Keqiang-Yan-Photo-2.jpeg","body":null,"created":"1741179261","gmt_created":"2025-03-05 12:54:21","changed":"1741179261","gmt_changed":"2025-03-05 12:54:21","alt":"CSE Faculty Candidate Seminar Keqiang Yan","file":{"fid":"260247","name":"Keqiang-Yan-Photo-2.jpeg","image_path":"\/sites\/default\/files\/2025\/03\/05\/Keqiang-Yan-Photo-2.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/03\/05\/Keqiang-Yan-Photo-2.jpeg","mime":"image\/jpeg","size":214783,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/03\/05\/Keqiang-Yan-Photo-2.jpeg?itok=vQiLu9ur"}}},"media_ids":["676454"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EArlene Washington-Capers\u003Cbr\u003Earlene.washington@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"680873":{"#nid":"680873","#data":{"type":"event","title":"SCP Seminar Talk: Shawn Shan, Ph.D. candidate in CS     ","body":[{"value":"\u003Cp\u003EShawn Shan presents: Protecting and Empowering Stakeholders in Today\u2019s AI ecosystem \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u003Cbr\u003E\u003Cbr\u003EAbstract: The rapid growth of artificial intelligence (AI) has created a complex ecosystem where competing interests\u2014governments, creators, AI companies, and users\u2014intersect. This power dynamic has sparked tension between innovation, regulation, and individual rights. Balancing and accommodating the power tussle among stakeholders is essential for the sustainable development of AI. Today, the current ecosystem concentrates most power and control in the hands of a few entities, resulting in unintended harms and suboptimal development. \u0026nbsp; My research tackles these challenges by developing technical solutions to mitigate the harms of AI misuse and restore power balance among stakeholders. I will begin by discussing my research on protecting creators from unauthorized style mimicry. Then, I will present a proactive data protection system that employs clean-label data poisoning techniques to prevent unwanted data scraping. Finally, I will discuss maximizing external impact of my work and my vision for building a more collaborative AI ecosystem.\u0026nbsp;\u003Cbr\u003E\u003Cbr\u003EBio: Shawn Shan is a PhD candidate in Computer Science at University of Chicago, advised by Ben Zhao and Heather Zheng. His research lies at the intersections of security and machine learning with a focus on safeguarding AI systems and addressing the harms from AI misuse. He is a recipient of MIT Tech Review Innovator of the Year, MIT Tech Review 35 Under 35, Forbes 30 Under 30, USENIX Internet Defense Prize, and Distinguished Paper Awards at USENIX Security and ACM CCS.\u0026nbsp;\u003Cbr\u003E\u003Cbr\u003EWebinar Link for Job Talk: https:\/\/gatech.zoom.us\/webinar\/register\/WN_xXByn4yRTeGPaY6wLO6dKQ\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EYou\u0027re invited to his talk, Protecting and Empowering Stakeholders in Today\u2019s AI ecosystem. This talk will be Thursday, March 6 in the Coda atrium. There is also a Zoom option.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"You\u0027re invited to his talk, Protecting and Empowering Stakeholders in Today\u2019s AI ecosystem   "}],"uid":"36253","created_gmt":"2025-03-04 15:50:26","changed_gmt":"2025-03-04 15:52:53","author":"John Popham","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-03-06T11:00:00-05:00","event_time_end":"2025-03-06T12:30:00-05:00","event_time_end_last":"2025-03-06T12:30:00-05:00","gmt_time_start":"2025-03-06 16:00:00","gmt_time_end":"2025-03-06 17:30:00","gmt_time_end_last":"2025-03-06 17:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda Building, 9th Floor Atrium","extras":[],"hg_media":{"676446":{"id":"676446","type":"image","title":"Shawn-Shan.jpg","body":null,"created":"1741103520","gmt_created":"2025-03-04 15:52:00","changed":"1741103520","gmt_changed":"2025-03-04 15:52:00","alt":"an event graphic","file":{"fid":"260238","name":"Shawn-Shan.jpg","image_path":"\/sites\/default\/files\/2025\/03\/04\/Shawn-Shan.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/03\/04\/Shawn-Shan.jpg","mime":"image\/jpeg","size":1301958,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/03\/04\/Shawn-Shan.jpg?itok=HL4rxUw_"}}},"media_ids":["676446"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"660367","name":"School of Cybersecurity and Privacy"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"},{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"680345":{"#nid":"680345","#data":{"type":"event","title":"School of CSE Seminar Series: Guy Lebanon","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Guy Lebanon, engineering director at Google\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;March 14, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 230\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Anqi Wu\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EDeep Learning and LLMs: An Engine of Automation in Art, Commerce, and Trust and Safety\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E The talk will begin with a survey of three recent DL and LLM projects at Netflix, Amazon, and Google. The common thread across the three projects is human level automation using large data, deep learning, reinforcement learning, and subject matter knowledge and customization. The second part of the talk will focus on the interplay of industry and academia in the age of LLMs and some thoughts on AI technology in education, and in augmenting the work of future scientists and engineers.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Guy Lebanon is a director at Google where he works on ensuring the security, privacy, trust, and safety of mobile apps on Android, the world\u0027s most popular operating system. Previously, he led search quality at Amazon as a director of engineering, and earlier he was a director at Netflix and a tenured professor at the Georgia Institute of Technology. Guy published several books and over 70 refereed articles and received a Ph.D. in machine learning from Carnegie Mellon University. He chaired the 2015 AI \u0026amp; Statistics conference and the 2012 ACM CIKM conference and was action editor of the Journal of Machine Learning Research during 2013-2018. He won first place in the PASCAL image segmentation competition three times, and received an NSF CAREER Award, the WWW best student paper award, the ICML best paper runner-up award, the Yahoo Faculty Research and Engagement Award, and is a Siebel Scholar.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Guy Lebanon, engineering director at Google\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;March 14, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 230\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Anqi Wu\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EDeep Learning and LLMs: An Engine of Automation in Art, Commerce, and Trust and Safety\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Guy Lebanon, engineering director at Google"}],"uid":"36319","created_gmt":"2025-02-10 16:49:54","changed_gmt":"2025-02-25 17:22:34","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-03-14T14:00:00-04:00","event_time_end":"2025-03-14T15:00:00-04:00","event_time_end_last":"2025-03-14T15:00:00-04:00","gmt_time_start":"2025-03-14 18:00:00","gmt_time_end":"2025-03-14 19:00:00","gmt_time_end_last":"2025-03-14 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":[],"hg_media":{"676246":{"id":"676246","type":"image","title":"Guy Lebanon.jpg","body":null,"created":"1739206339","gmt_created":"2025-02-10 16:52:19","changed":"1739206339","gmt_changed":"2025-02-10 16:52:19","alt":"CSE Guy Lebanon","file":{"fid":"259989","name":"Guy Lebanon.jpg","image_path":"\/sites\/default\/files\/2025\/02\/10\/Guy%20Lebanon.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/02\/10\/Guy%20Lebanon.jpg","mime":"image\/jpeg","size":431477,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/02\/10\/Guy%20Lebanon.jpg?itok=wf9o5S7Y"}}},"media_ids":["676246"],"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":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAnqi Wu (anqiwu@gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"680716":{"#nid":"680716","#data":{"type":"event","title":"2025 Open Source and Scientific Software Workshop","body":[{"value":"\u003Cp\u003EWe are excited to extend an invitation to you for the 2025 \u003Ca href=\u0022https:\/\/ospo.cc.gatech.edu\/ospo-sse-workshop-2025\/\u0022 title=\u0022https:\/\/ospo.cc.gatech.edu\/ospo-sse-workshop-2025\/\u0022\u003EOpen Source and Scientific Software Workshop\u003C\/a\u003E\u0026nbsp;scheduled to take place on March 6, 2025. This event will be held at the Global Learning Center, Room 223, where experts will focus on sharing research and development experiences as they relate to open-source projects and scientific software both from Georgia Tech developers and from the local Atlanta academic community.\u003C\/p\u003E\u003Cp\u003EThis workshop, hosted in collaboration with Georgia Tech\u2019s \u003Ca href=\u0022https:\/\/ospo.cc.gatech.edu\/\u0022 title=\u0022https:\/\/ospo.cc.gatech.edu\/\u0022\u003EOpen Source Program Office\u003C\/a\u003E\u0026nbsp;will include invited speakers from local open-source projects, updates from Georgia Tech\u2019s Open Source Program Office and \u003Ca href=\u0022https:\/\/ssecenter.cc.gatech.edu\/\u0022 title=\u0022https:\/\/ssecenter.cc.gatech.edu\/\u0022\u003ECenter for Scientific Software Engineering\u003C\/a\u003E, and lightning talks from faculty and students involved in open source development.\u003C\/p\u003E\u003Cp\u003EPlease see the tentative agenda and register at the \u003Ca href=\u0022https:\/\/ospo.cc.gatech.edu\/ospo-sse-workshop-2025\/\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/ospo.cc.gatech.edu\/ospo-sse-workshop-2025\/\u0022\u003Eevent\u0026nbsp;website.\u003C\/a\u003E\u0026nbsp;Registration is free, but we ask that you \u003Ca href=\u0022https:\/\/forms.office.com\/Pages\/ResponsePage.aspx?id=u5ghSHuuJUuLem1_Mvqgg9H8hXzfB2NGphFWFfR0g0pURUlMWUUyRzdRTFI0VkdFRkxCOE1MWVkwNiQlQCN0PWcu\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/forms.office.com\/Pages\/ResponsePage.aspx?id=u5ghSHuuJUuLem1_Mvqgg9H8hXzfB2NGphFWFfR0g0pURUlMWUUyRzdRTFI0VkdFRkxCOE1MWVkwNiQlQCN0PWcu\u0022\u003ERSVP\u003C\/a\u003E\u0026nbsp;by, February 28, 2025, 5PM, EST, to confirm your attendance.\u0026nbsp; Should you have any questions or require further information, feel free to reach out to us \u003Ca href=\u0022mailto:ssecenter@cc.gatech.edu\u0022 title=\u0022mailto:ssecenter@cc.gatech.edu\u0022\u003Evia email\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003E----\u003C\/p\u003E\u003Cp\u003EIf you are a faculty and interested to present a short talk on your work, please also register your interest via this faculty \u003Ca href=\u0022https:\/\/forms.office.com\/Pages\/ResponsePage.aspx?id=u5ghSHuuJUuLem1_Mvqgg82dnXP1iqRHvc472TcBXahURjJZTk5QN1pFUFY1NllDRzJTMVgzTkw0TS4u\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/forms.office.com\/Pages\/ResponsePage.aspx?id=u5ghSHuuJUuLem1_Mvqgg82dnXP1iqRHvc472TcBXahURjJZTk5QN1pFUFY1NllDRzJTMVgzTkw0TS4u\u0022\u003Einterest form\u003C\/a\u003E.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIf you are a student interested to present OSS work you\u0027ve been involved with at the workshop, please register your interest via this \u003Ca href=\u0022https:\/\/forms.office.com\/Pages\/ResponsePage.aspx?id=u5ghSHuuJUuLem1_Mvqgg-ECky9LWgJErvb2gSE1k3ZUNThLUkQ4UDhPUk5MVkpUV0Y0SVJKNUlDVC4u\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/forms.office.com\/Pages\/ResponsePage.aspx?id=u5ghSHuuJUuLem1_Mvqgg-ECky9LWgJErvb2gSE1k3ZUNThLUkQ4UDhPUk5MVkpUV0Y0SVJKNUlDVC4u\u0022\u003Estudent form\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis workshop, hosted in collaboration with Georgia Tech\u2019s \u003Ca href=\u0022https:\/\/ssecenter.cc.gatech.edu\/\u0022\u003ECenter for Scientific Software Engineering\u003C\/a\u003E, will focus on sharing research and development experiences as they relate to open source projects and scientific software both from Georgia Tech developers and from the local Atlanta academic community. The event will include invited speakers from local open source projects, updates from Georgia Tech\u2019s Open Source Program Office and Center for Scientific Software Engineering, and lightning talks from students involved in open source development.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"This workshop focuses on sharing research and development experiences as they relate to open source projects and scientific software from both Georgia Tech and the local Atlanta academic community."}],"uid":"36319","created_gmt":"2025-02-25 15:17:58","changed_gmt":"2025-02-25 15:24:18","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-03-06T08:30:00-05:00","event_time_end":"2025-03-06T17:00:00-05:00","event_time_end_last":"2025-03-06T17:00:00-05:00","gmt_time_start":"2025-03-06 13:30:00","gmt_time_end":"2025-03-06 22:00:00","gmt_time_end_last":"2025-03-06 22:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Global Learning Center, Room 223","extras":[],"hg_media":{"676387":{"id":"676387","type":"image","title":"gt_klaus_campus-1024x576.jpg","body":null,"created":"1740497008","gmt_created":"2025-02-25 15:23:28","changed":"1756993537","gmt_changed":"2025-09-04 13:45:37","alt":"Klaus Courtyard Binary Bridge view of Georgia Tech campus.","file":{"fid":"260171","name":"gt_klaus_campus-1024x576.jpg","image_path":"\/sites\/default\/files\/2025\/02\/25\/gt_klaus_campus-1024x576.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/02\/25\/gt_klaus_campus-1024x576.jpg","mime":"image\/jpeg","size":95306,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/02\/25\/gt_klaus_campus-1024x576.jpg?itok=_DBzZUEv"}}},"media_ids":["676387"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"172288","name":"School of Computational Science Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1789","name":"Conference\/Symposium"},{"id":"26411","name":"Training\/Workshop"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJeff Young\u003Cbr\u003Ejyoung9@gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"680578":{"#nid":"680578","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Chenfeng Xu","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EChenfeng Xu, Ph.D. candidate from the University of California, Berkeley\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 27, 2025 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business, Room 202 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/TeXkQgzYQZkuUMJY7\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ECoffee and snacks provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EEfficient Machine Learning with Structures: Inference, Training, and Application\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Generative models are transforming artificial intelligence, yet the computational demands for both inference and training are rapidly outpacing available resources. My research boosts efficiency in inference and training by harnessing structured approaches in computation and learning. Beyond improving efficiency, I translate my work into real-world intelligent systems\u2014from mobile devices to robots\u2014to enable innovative applications such as AI design and cross-embodiment transfer.\u003C\/p\u003E\u003Cp\u003EIn this talk, I will present my research philosophy centered on finding structures, computing with structures, and learning with structures. First, I will explain how I capture and reorganize structural patterns in system implementations, optimizing inference-intensive diffusion models to better leverage high-performance hardware. My streaming systems for diffusion models fully exploit hardware capacity, enabling rapid image and video generation and demonstrating applications in visual design, robotics, and everyday AI utilities.\u003C\/p\u003E\u003Cp\u003ENext, I will reveal the structural patterns within algorithms and discuss how to reorganize them without altering the original system workload. My approach to restructuring large language model (LLM) weights offers a hardware-flexible alternative to conventional quantization and pruning techniques, providing a new solution for LLM compression. I will also demonstrate how this method enhances inference efficiency in vision-language models (VLMs) and vision-language-action systems for robotics.\u003C\/p\u003E\u003Cp\u003EFinally, inspired by principles from physics, I will illustrate how I convert unstructured optimization in diffusion models into a structured process\u2014achieving up to 3\u00d7 faster training. I will show how this technique generalizes across a wide range of applications and models. I will conclude by outlining my vision for discovering structured representations for data efficiency and scaling structured computation to bridge the gap from individual instances to large-scale AI systems.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Chenfeng Xu is a Ph.D. candidate at UC Berkeley, advised by Kurt Keutzer and Masayoshi Tomizuka. His research focuses on efficient machine learning and intelligent systems. He has accelerated computational AI applications in generative AI and embodied AI. His work has been recognized as notable papers and oral presentations at conferences such as ICLR, CoRL, and ICRA etc. Chenfeng was awarded the Qualcomm Innovation Fellowship, and his research has been supported by Google Generative AI Grant, Meta, NVIDIA, Toyota Research Institute, Qualcomm, and Stellantis etc. His work has been widely adopted in industry, powering platforms such as Meta\u2019s efficient deep learning toolkit for mobile devices, Baidu\u0027s PaddlePaddle toolkit, and LivePeer\u2019s video infrastructure.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EChenfeng Xu, Ph.D. candidate from the University of California, Berkeley\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 27, 2025 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business, Room 202 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/TeXkQgzYQZkuUMJY7\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EEfficient Machine Learning with Structures: Inference, Training, and Application\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Efficient Machine Learning with Structures: Inference, Training, and Application"}],"uid":"36319","created_gmt":"2025-02-19 14:23:24","changed_gmt":"2025-02-24 20:07:33","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-02-27T11:00:00-05:00","event_time_end":"2025-02-27T12:00:00-05:00","event_time_end_last":"2025-02-27T12:00:00-05:00","gmt_time_start":"2025-02-27 16:00:00","gmt_time_end":"2025-02-27 17:00:00","gmt_time_end_last":"2025-02-27 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Scheller, Room 202","extras":["free_food"],"hg_media":{"676329":{"id":"676329","type":"image","title":"Chenfeng Xu photo.jpg","body":null,"created":"1739975314","gmt_created":"2025-02-19 14:28:34","changed":"1739975314","gmt_changed":"2025-02-19 14:28:34","alt":"CSE Faculty Candidate Seminar Chenfeng Xu","file":{"fid":"260098","name":"Chenfeng Xu photo.jpg","image_path":"\/sites\/default\/files\/2025\/02\/19\/Chenfeng%20Xu%20photo.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/02\/19\/Chenfeng%20Xu%20photo.jpg","mime":"image\/jpeg","size":45866,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/02\/19\/Chenfeng%20Xu%20photo.jpg?itok=bm4dLePV"}}},"media_ids":["676329"],"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":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EArlene Washington-Capers\u003Cbr\u003Earlene.washington@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"679667":{"#nid":"679667","#data":{"type":"event","title":"College of Computing Graduate Student Poster Symposium for Spring 2025","body":[{"value":"\u003Cp\u003EThe SCS, SCP, IC, and CSE Graduate Student Associations in partnership with the CoC are hosting the \u003Cstrong\u003ECollege of Computing Graduate Poster Symposium during Spring 2025\u003C\/strong\u003E. The Graduate Student Poster Symposium is an opportunity for students throughout the school to network, present their work to a variety of audiences, and familiarize themselves with the spectrum of research performed across CoC. Take advantage of this opportunity to present your research to the community and hone your presentation skills. Each poster will be evaluated by a panel of faculty judges and the winners of the poster competition will be announced on the same day at the end of the event. \u003Cstrong\u003EParticipation is open to all CoC students\u003C\/strong\u003E (see details below). Please submit by \u003Cstrong\u003EFebruary 25th\u003C\/strong\u003E to ensure there is time to assign posters to judges.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhen\u003C\/strong\u003E: Thursday, Feb 27th, 11 AM \u2013 2 PM\u003Cbr\u003E\u003Cstrong\u003EWhere\u003C\/strong\u003E: Klaus Atrium\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAwards: \u003C\/strong\u003EPrize Pool of $4000!\u003C\/p\u003E\u003Cp\u003EVisit \u003Ca href=\u0022https:\/\/scsgsa.cc.gatech.edu\/poster-symposium\/\u0022\u003Ehttps:\/\/scsgsa.cc.gatech.edu\/poster-symposium\/\u003C\/a\u003E for registration, judging rubric, and further details.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe SCS, SCP, IC, and CSE Graduate Student Associations in partnership with the CoC are hosting the \u003Cstrong\u003ECollege of Computing Graduate Poster Symposium during Spring 2025\u003C\/strong\u003E. The Graduate Student Poster Symposium is an opportunity for students throughout the school to network, present their work to a variety of audiences, and familiarize themselves with the spectrum of research performed across CoC. Take advantage of this opportunity to present your research to the community and hone your presentation skills. Each poster will be evaluated by a panel of faculty judges and the winners of the poster competition will be announced on the same day at the end of the event. \u003Cstrong\u003EParticipation is open to all CoC students\u003C\/strong\u003E (see details below). Please submit by \u003Cstrong\u003EFebruary 25th\u003C\/strong\u003E to ensure there is time to assign posters to judges.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhen\u003C\/strong\u003E: Thursday, Feb 27th, 11 AM \u2013 2 PM\u003Cbr\u003E\u003Cstrong\u003EWhere\u003C\/strong\u003E: Klaus Atrium\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAwards: \u003C\/strong\u003EPrize Pool of $4000!\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The SCS, SCP, IC, and CSE Graduate Student Associations in partnership with the CoC are hosting the College of Computing Graduate Poster Symposium during Spring 2025."}],"uid":"36319","created_gmt":"2025-01-16 17:49:37","changed_gmt":"2025-02-20 17:47:27","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-02-27T11:00:00-05:00","event_time_end":"2025-02-27T14:00:00-05:00","event_time_end_last":"2025-02-27T14:00:00-05:00","gmt_time_start":"2025-02-27 16:00:00","gmt_time_end":"2025-02-27 19:00:00","gmt_time_end_last":"2025-02-27 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus Atrium","extras":[],"hg_media":{"676047":{"id":"676047","type":"image","title":"Capstone Expo Fall 2024_MG_0053-Enhanced-NR.jpg","body":null,"created":"1737049919","gmt_created":"2025-01-16 17:51:59","changed":"1737049919","gmt_changed":"2025-01-16 17:51:59","alt":"Fall 2024 Capstone Expo","file":{"fid":"259751","name":"Capstone Expo Fall 2024_MG_0053-Enhanced-NR.jpg","image_path":"\/sites\/default\/files\/2025\/01\/16\/Capstone%20Expo%20Fall%202024_MG_0053-Enhanced-NR.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/01\/16\/Capstone%20Expo%20Fall%202024_MG_0053-Enhanced-NR.jpg","mime":"image\/jpeg","size":13050486,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/01\/16\/Capstone%20Expo%20Fall%202024_MG_0053-Enhanced-NR.jpg?itok=vx9_256d"}}},"media_ids":["676047"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"193866","name":"school of computing instruction"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1789","name":"Conference\/Symposium"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"680386":{"#nid":"680386","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Christina Giannoula","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EChristina Giannoula, Postdoctoral Researcher from the University of Toronto\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, February 18, 2025 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 114 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/m7KfgEEVWV581bxD9\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ECoffee and snacks provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EPushing the Boundaries of Modern Application-Aware Computing Stacks\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Modern computing systems encounter significant challenges related to data movement data movement in applications, such as data analytics and machine learning. Within a compute node, the physical separation of the processor from main memory necessitates retrieving data through a narrow memory bus. In big-data applications running across multiple nodes, data must be exchanged via narrow network interconnects. This movement of data \u2014both within and across compute nodes\u2014 causes significant performance and energy overheads in modern and emerging applications. Moreover, today\u2019s general-purpose computing stacks overlook the particular data needs of individual applications, missing crucial opportunities for untapped performance optimization.\u003C\/p\u003E\u003Cp\u003EIn this talk, I will present a cross-stack approach to designing application-aware computing stacks for cutting-edge applications, enabling new synergies between algorithms, systems software, and hardware. Specifically, I will demonstrate how integrating fine-grained application characteristics \u2014such as input features, data access and synchronization patterns\u2014 across the layers of general-purpose computing stacks allows for tailoring stack components to meet the application\u2019s specific data needs. This integration enables the stack components to work synergistically to reduce unnecessary or redundant data movement during application execution. I will present a few of my research contributions that propose hardware and software solutions for emerging applications, such as deep learning, and\u0026nbsp; by capitalizing on the emerging processing-in-memory paradigm. Finally, I will conclude by outlining my future plans to design application-adaptive and sustainable computing stacks to significantly enhance performance and energy efficiency in cutting-edge applications.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Christina Giannoula is Postdoctoral Researcher at the University of Toronto, working with Professors Gennady Pekhimenko, Andreas Moshovos and Nandita Vijaykumar. She is an affiliated senior researcher with the SAFARI research group at ETH Zurich, working with Prof. Onur Mutlu, and is also a senior researcher at CentML company, where she advises research engineers on system design for deep learning. Her research lies at the intersection of computer architecture, systems software and parallel computing, with a focus on high performance, energy efficiency, and programmability for emerging applications. Her current research interests include hardware-software co-design for cutting-edge applications, emerging memory technologies such as processing-in-memory, and systems for machine learning. Christina received her Ph.D. in 2022 from the School of Electrical and Computer Engineering (ECE) at the National Technical University of Athens (NTUA), Greece. She has been recognized with several awards and fellowships for her Ph.D. research, including a three-year Ph.D. Fellowship from the Hellenic Foundation for Research and Innovation (HFRI) and the General Secretariat for Research and Technology (GSRT) and a PhD award (Sep 2021-Oct 2022) from the Foundation for Education and European Culture (IPEP). Moreover, her Ph.D. thesis received the Iakovos Giurunlian NTUA award for the doctoral thesis with the highest industrial impact in 2022. For her Postdoctoral research, she has received research grants from the Vector Institute for Artificial Intelligence and has been recognized as a Rising Star in EECS (Electrical Engineering and Computer Sciences) and a Rising Star in MLSys (Machine Learning Systems) in 2024. Christina also serves as the social media editor for the ACM SIGMICRO organization. For more information, please visit her website at \u003Ca href=\u0022https:\/\/cgiannoula.github.io\/\u0022\u003Ehttps:\/\/cgiannoula.github.io\/\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EChristina Giannoula, Postdoctoral Researcher from the University of Toronto\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, February 18, 2025 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 114 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/m7KfgEEVWV581bxD9\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EPushing the Boundaries of Modern Application-Aware Computing Stacks\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Pushing the Boundaries of Modern Application-Aware Computing Stacks"}],"uid":"36319","created_gmt":"2025-02-12 02:05:33","changed_gmt":"2025-02-19 14:15:48","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-02-18T11:00:00-05:00","event_time_end":"2025-02-18T12:00:00-05:00","event_time_end_last":"2025-02-18T12:00:00-05:00","gmt_time_start":"2025-02-18 16:00:00","gmt_time_end":"2025-02-18 17:00:00","gmt_time_end_last":"2025-02-18 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":["free_food"],"hg_media":{"676276":{"id":"676276","type":"image","title":"Christina Giannoula.jpg","body":null,"created":"1739325968","gmt_created":"2025-02-12 02:06:08","changed":"1739325968","gmt_changed":"2025-02-12 02:06:08","alt":"CSE Faculty Candidate Seminar Christina Giannoula","file":{"fid":"260027","name":"Christina Giannoula.jpg","image_path":"\/sites\/default\/files\/2025\/02\/11\/Christina%20Giannoula.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/02\/11\/Christina%20Giannoula.jpg","mime":"image\/jpeg","size":22854,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/02\/11\/Christina%20Giannoula.jpg?itok=zTQTuRXg"}}},"media_ids":["676276"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EArlene Washington-Capers\u003Cbr\u003Earlene.washington@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"680387":{"#nid":"680387","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Brandon Feng","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EBrandon Feng, Postdoctoral Associate from MIT\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 20, 2025 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 114 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/m7KfgEEVWV581bxD9\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ECoffee and snacks provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EAI as a Lens: Expanding Vision for Scientific Discovery\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Conventional approaches to scientific discovery often prioritize building larger sensors, gathering more data, and scaling up computational power. In this talk, I will present a complementary perspective: extracting insights hidden in the data we already have. The key lies in using AI not as a black-box predictor, but as a tool for interpreting data through its underlying physical process.\u003C\/p\u003E\u003Cp\u003EI will demonstrate how AI, when integrated with the physics of light propagation, can serve as a computational lens to overcome fundamental limitations in fields ranging from biomedicine to astrophysics. Specifically, I will showcase two compelling applications: non-invasive imaging through scattering biological tissues, and detecting faint exoplanets against the overwhelming brightness of their host stars.\u003C\/p\u003E\u003Cp\u003EThese methods represent a departure from traditional learning-based approaches that rely on fitting models to training labels and hoping for generalization. Instead, with physics-informed strategies that decode how light propagates, we can transform raw measurements into scientifically meaningful insights\u2014without requiring costly hardware upgrades or human-annotated datasets. Finally, I will outline future directions for combining AI with physical principles, enabling us to unlock more phenomena once considered hidden and accelerating discoveries in healthcare, astronomy, and beyond.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Brandon Y. Feng is a Postdoctoral Associate at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and a Visiting Scientist at the Harvard-Smithsonian Center for Astrophysics. His research bridges artificial intelligence and physics to expand the limits of human and machine vision. He develops AI-driven methods that reveal hidden patterns in complex visual data, driving breakthroughs in areas such as exoplanet detection and imaging through scattering tissues. His work has been published in top venues, including Science Advances, CVPR, ICCV, ECCV, and NeurIPS, and has been featured in Science.org, New Scientist, and Phys.org. He holds a Ph.D. in Computer Science from the University of Maryland, along with a B.A. in Computer Science and Statistics and an M.S. in Statistics from the University of Virginia.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EBrandon Feng, Postdoctoral Associate from MIT\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 20, 2025 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 114 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/m7KfgEEVWV581bxD9\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EAI as a Lens: Expanding Vision for Scientific Discovery\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: AI as a Lens: Expanding Vision for Scientific Discovery"}],"uid":"36319","created_gmt":"2025-02-12 02:14:57","changed_gmt":"2025-02-19 14:15:24","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-02-20T11:00:00-05:00","event_time_end":"2025-02-20T12:00:00-05:00","event_time_end_last":"2025-02-20T12:00:00-05:00","gmt_time_start":"2025-02-20 16:00:00","gmt_time_end":"2025-02-20 17:00:00","gmt_time_end_last":"2025-02-20 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":["free_food"],"hg_media":{"676277":{"id":"676277","type":"image","title":"Brandon Feng.jpg","body":null,"created":"1739326598","gmt_created":"2025-02-12 02:16:38","changed":"1739326598","gmt_changed":"2025-02-12 02:16:38","alt":"CSE Faculty Candidate Seminar Brandon Feng","file":{"fid":"260028","name":"Brandon Feng.jpg","image_path":"\/sites\/default\/files\/2025\/02\/11\/Brandon%20Feng.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/02\/11\/Brandon%20Feng.jpg","mime":"image\/jpeg","size":356130,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/02\/11\/Brandon%20Feng.jpg?itok=2CphYZdQ"}}},"media_ids":["676277"],"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":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EArlene Washington-Capers\u003Cbr\u003Earlene.washington@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"680341":{"#nid":"680341","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Yizhong Wang","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EYizhong Wang, Ph.D. candidate from the University of Washington\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 13, 2025 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 230 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/m7KfgEEVWV581bxD9\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ECoffee, drinks, and snacks provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EBuilding a Sustainable Data Foundation for AI\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E The rapid expansion of AI is consuming data at an unprecedented scale. However, as pretraining on raw Internet data reaches diminishing returns and downstream applications grow increasingly complex, the question arises: What data paradigm will sustain the next generation of more powerful AI systems? This requires a systematic rethinking of how we structure, create, and share data. In this talk, I will present my research on building language models that go beyond pretraining while improving their generalization through a data-centric perspective. First, I will introduce how unifying NLP tasks through task instructions enables broader generalization. The resulting technique, instruction tuning, redefines how task data should be structured and has transformed how people interact with language models. Second, I will explore synthetic data creation, where models get employed in the data production process. This led to Self-Instruct, the first framework using language models to create diverse tasks and demonstrating model self-improvement. Finally, I will discuss the development of T\u00fclu and OLMo, two representative open models, highlighting the central role of data curation and open collaboration in advancing AI research. Together, these efforts\u2014unifying task representations, leveraging synthetic data, and fostering open data sharing\u2014have shaped current AI research and application landscape. As these trends continue to evolve, they hold the potential to establish a scalable and sustainable data foundation for the future of AI.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EYizhong Wang is a Ph.D. candidate at the University of Washington, advised by Hannaneh Hajishirzi and Noah Smith. He has also been a student researcher at the Allen Institute for Artificial Intelligence (AI2) for the past 2 years, co-leading the post-training efforts in building fully open language models (OLMo). His research focuses on the fundamental data challenges in AI development and algorithms centered around data, particularly for building more general-purpose models. His work, such as Super-NaturalInstructions, Self-Instruct, and T\u00fclu, has been widely used in building large language models today. He has won multiple paper awards, including ACL 2024 Best Theme Paper, CCL 2020 Best Paper, and ACL 2017 Outstanding Paper. He also serves on the program committee of top NLP and ML conferences and was an area chair for EMNLP 2024.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EYizhong Wang, Ph.D. candidate from the University of Washington\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 13, 2024 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 230 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/m7KfgEEVWV581bxD9\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EBuilding a Sustainable Data Foundation for AI\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Building a Sustainable Data Foundation for AI"}],"uid":"36319","created_gmt":"2025-02-10 13:16:24","changed_gmt":"2025-02-13 15:33:08","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-02-13T11:00:00-05:00","event_time_end":"2025-02-13T12:00:00-05:00","event_time_end_last":"2025-02-13T12:00:00-05:00","gmt_time_start":"2025-02-13 16:00:00","gmt_time_end":"2025-02-13 17:00:00","gmt_time_end_last":"2025-02-13 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":["free_food"],"hg_media":{"676243":{"id":"676243","type":"image","title":"Yizhong Wang.jpg","body":null,"created":"1739193500","gmt_created":"2025-02-10 13:18:20","changed":"1739193500","gmt_changed":"2025-02-10 13:18:20","alt":"CSE Faculty Candidate Seminar Yizhong Wang","file":{"fid":"259986","name":"Yizhong Wang.jpg","image_path":"\/sites\/default\/files\/2025\/02\/10\/Yizhong%20Wang.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/02\/10\/Yizhong%20Wang.jpg","mime":"image\/jpeg","size":4501573,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/02\/10\/Yizhong%20Wang.jpg?itok=dagUTxP1"}}},"media_ids":["676243"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr\u003Emhigh7@gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"680179":{"#nid":"680179","#data":{"type":"event","title":"HotCSE Seminar: Vijay Thakkar","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE Ph.D. Student Vijay Thakkar\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, Feb. 12, 2025, at 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ELunch provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ECUTLASS 3.x: A Microkernel Abstraction for GPU Linear Algebra\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003EWe have created a micro-kernel abstraction for GPUs robust enough to uniformly represent the tensor core and data movement operations from NVIDIA GPU architectures spanning Maxwell all the way to Blackwell. In this talk, we describe the novel two level microkernel abstraction that allows for this generality. Spatial microkernels described by CuTe layouts and layout algebra allow us to uniformly represent GPU architecture specific operations regardless of the threads and data they operate upon. CUTLASS 3.x\u0027s temporal microkernels allow for a hierarchical organization of synchronization and programmer managed on-chip memory abstracting away architecture specific synchronization. Both of these together result in a robust programming model that is performant, extensible, and simply a joy to use.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Vijay is a senior architect in the fast kernels team where he has worked on CUTLASS 3.0 project since its inception as one of its leads. For the past three years he has focused on the development of Blackwell kernels via CuTe and CUTLASS\u0027s programming model and PTX ISA which just released as CUTLASS 3.8 and CUDA 12.8 respectively. He broadly collaborates with the GPU architecture, compiler, and programming model teams on software\/hardware codesign for tensor cores and other DL features of datacenter GPUs. At Georgia Tech, he is registered as a part time Ph.D. student in Rich Vuduc\u0027s HPC garage lab, where he hopes to defend his Ph.D. some day.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EAbout HotCSE\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003EHotCSE is an academic seminar series to bring Ph.D. students in Computational Science and Engineering together to discuss interesting topics. The topics consist of high-performance computing, machine learning, data analysis, simulation, computational sustainability, medical informatics, etc.\u003C\/p\u003E\u003Cp\u003EThe talks have always been enjoyable and have ranged from quite informal to formal conference style talks. Either chalks or slides can be used to help people understand your talk. It is also a great forum to practice conference talks and bounce around new ideas.\u003C\/p\u003E\u003Cp\u003ECurrently the talks are sponsored by the School of Computational Science and Engineering. The goal of CSE is slightly broader than that of these talks - we want to bring more people outside CSE to discuss their related work here.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE Ph.D. Student Vijay Thakkar\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, Feb. 12, 2025, at 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ECUTLASS 3.x: A Microkernel Abstraction for GPU Linear Algebra\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: CUTLASS 3.x: A Microkernel Abstraction for GPU Linear Algebra"}],"uid":"36319","created_gmt":"2025-02-04 13:36:20","changed_gmt":"2025-02-07 19:03:51","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-02-12T12:00:00-05:00","event_time_end":"2025-02-12T13:00:00-05:00","event_time_end_last":"2025-02-12T13:00:00-05:00","gmt_time_start":"2025-02-12 17:00:00","gmt_time_end":"2025-02-12 18:00:00","gmt_time_end_last":"2025-02-12 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":["free_food"],"hg_media":{"676199":{"id":"676199","type":"image","title":"VijayThakkar.png","body":null,"created":"1738676501","gmt_created":"2025-02-04 13:41:41","changed":"1738676501","gmt_changed":"2025-02-04 13:41:41","alt":"HotCSE Seminar Vijay Thakkar","file":{"fid":"259935","name":"VijayThakkar.png","image_path":"\/sites\/default\/files\/2025\/02\/04\/VijayThakkar.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/02\/04\/VijayThakkar.png","mime":"image\/png","size":310788,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/02\/04\/VijayThakkar.png?itok=1Ie1hu44"}}},"media_ids":["676199"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"},{"id":"1791","name":"Student sponsored"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ECSE Graduate Student Association\u003C\/p\u003E\u003Cp\u003Ecse-gsa@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"679923":{"#nid":"679923","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Ming Yin","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EMing Yin, Postdoctoral Associate from Princeton University\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 6, 2024 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business, Room 200 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/32i1a9jczDQb5vJV7\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ECoffee, drinks, and snacks provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EReinforcement Learning at the Frontier: From Better AI Models to the Acceleration of Scientific Discovery\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E A central challenge in AI is steering complex systems toward desired outcomes\u2014whether in decision-making, aligning language models, or driving scientific discovery. As AI scales with big data and foundation models, reinforcement learning (RL) has emerged as a powerful framework for optimizing behavior through interaction and feedback. In this talk, I will present my research at the intersection of Reinforcement Learning and Artificial Intelligence. First, I will discuss my theoretical contributions that improve the existing understanding of foundational RL, providing optimal guarantees and practical insights. Building on this, I will introduce how RL principles underpin LLM alignment, illustrating how decoding can be framed as a policy optimization problem. Our method significantly enhances inference-time alignment, demonstrating state-of-the-art improvements validated by various metrics. Moving beyond language models, I will highlight CRISPR-GPT\u2014an AI agent that redefines precision in gene-editing research by integrating domain expertise, validated libraries, and computational tools. CRISPR-GPT automates end-to-end gene-editing workflows and, in a real-world case study, achieved 80% editing efficiency in A549 cells, significantly accelerating lung cancer research by eliminating months of trial-and-error. By bridging theory and practice, this talk aspires to spark a new wave of AI research that amplifies scientific exploration and societal benefits.\u0026nbsp; \u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EMing Yin is a postdoctoral associate in the Electrical and Computer Engineering Department at Princeton University. He holds dual PhDs in Computer Science and Statistics from the University of California, Santa Barbara. His research spans the theory, algorithms, and applications of machine learning and artificial intelligence, with a particular emphasis on reinforcement learning and generative AI. His work has been published in top venues such as NeurIPS, ICML, and ICLR, and with an oral presentation at AISTATS. Ming\u2019s contributions have earned multiple Rising Star Awards and recognition as a Best Paper Finalist at CVPR 2024. He has served as a senior program committee member for many leading machine learning conferences and as an area chair for NeurIPS and ICML. Beyond academia, he gained industry experience through two summers at Amazon AWS AI.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EMing Yin, Postdoctoral Associate from Princeton University\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 6, 2024 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business, Room 200 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/32i1a9jczDQb5vJV7\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EReinforcement Learning at the Frontier: From Better AI Models to the Acceleration of Scientific Discovery\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Reinforcement Learning at the Frontier: From Better AI Models to the Acceleration of Scientific Discovery"}],"uid":"36319","created_gmt":"2025-01-24 15:51:44","changed_gmt":"2025-02-03 18:37:54","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-02-06T11:00:00-05:00","event_time_end":"2025-02-06T12:00:00-05:00","event_time_end_last":"2025-02-06T12:00:00-05:00","gmt_time_start":"2025-02-06 16:00:00","gmt_time_end":"2025-02-06 17:00:00","gmt_time_end_last":"2025-02-06 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Scheller, Room 200","extras":["free_food"],"hg_media":{"676123":{"id":"676123","type":"image","title":"Ming Yin photo.jpeg","body":null,"created":"1737733953","gmt_created":"2025-01-24 15:52:33","changed":"1737733953","gmt_changed":"2025-01-24 15:52:33","alt":"CSE Faculty Candidate Seminar Ming Yin","file":{"fid":"259845","name":"Ming Yin photo.jpeg","image_path":"\/sites\/default\/files\/2025\/01\/24\/Ming%20Yin%20photo.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/01\/24\/Ming%20Yin%20photo.jpeg","mime":"image\/jpeg","size":72858,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/01\/24\/Ming%20Yin%20photo.jpeg?itok=TPOxXVbn"}}},"media_ids":["676123"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr\u003Emhigh7@gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"679922":{"#nid":"679922","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Zhen Dong","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EZhen Dong, Postdoctoral Scholar from University of California, Berkeley\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, February 4, 2024 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business, Room 200 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/32i1a9jczDQb5vJV7\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ECoffee, drinks, and snacks provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EEfficient AI: Make AI More Accessible and Run Faster\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E LLMs and diffusion models have achieved great success in recent years. However, many AI models, particularly those with state-of-the-art performance, have a high computational cost and memory footprint. This impedes the development of pervasive AI in scenarios lacking sufficient computational resources (e.g., IoT devices, lunar rovers), requiring ultra-fast inference (e.g., AI4Science), or demanding real-time interaction under constrained computation (e.g., AR\/VR, Embodied AI). Model compression (quantization, pruning, distillation, etc) and hardware-software co-design are promising approaches to achieving Efficient AI, which makes AI more accessible and run faster.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIn this talk, I will first introduce my work on 1) mixed-precision quantization based on Hessian analysis (HAWQv1v2, ZeroQ, Q-BERT) and 2) hardware-software co-design (HAWQv3, CoDeNet, HAO). Then I will talk about my ongoing and future works in the era of LLMs and GenAI, including SqueezeLLM, Q-Diffusion, efficient AI agent systems, advanced CoT distillation, efficient\u0026nbsp;deep thinking for OpenAI-o1 and Deepseek-R1, etc. My research vision is that efficient AI is becoming indispensable both at the edge where increasingly powerful sensors with diverse modalities generate huge volumes of local data, and in the cloud where reducing costs is essential to bridge the speed gap between inference scaling laws and Moore\u2019s law for hardware.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EDr. Zhen Dong is currently a Postdoc at UC Berkeley. He obtained his Ph.D. from Berkeley AI Research advised by Prof. Kurt Keutzer. Before Berkeley, Zhen received B.E. from Peking University. Zhen\u2019s research includes efficient AI, model compression, hardware-software co-design, and AI systems. Zhen has received Berkeley University Fellowship and SenseTime Scholarship. He won the best paper award at AAAI Practical-DL workshop, and he is also a winner of the DAC PhD forum and CVPR doctoral consortium.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EZhen Dong, Postdoctoral Scholar from University of California, Berkeley\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, February 4, 2024 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business, Room 200 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/32i1a9jczDQb5vJV7\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EEfficient AI: Make AI More Accessible and Run Faster\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Efficient AI: Make AI More Accessible and Run Faster"}],"uid":"36319","created_gmt":"2025-01-24 15:42:39","changed_gmt":"2025-02-03 18:37:29","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-02-04T11:00:00-05:00","event_time_end":"2025-02-04T12:00:00-05:00","event_time_end_last":"2025-02-04T12:00:00-05:00","gmt_time_start":"2025-02-04 16:00:00","gmt_time_end":"2025-02-04 17:00:00","gmt_time_end_last":"2025-02-04 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Scheller, Room 200","extras":["free_food"],"hg_media":{"676183":{"id":"676183","type":"image","title":"Zhen Dong photo 2.jpg","body":null,"created":"1738360714","gmt_created":"2025-01-31 21:58:34","changed":"1738360714","gmt_changed":"2025-01-31 21:58:34","alt":"CSE Faculty Candidate Seminar Zhen Dong","file":{"fid":"259913","name":"Zhen Dong photo 2.jpg","image_path":"\/sites\/default\/files\/2025\/01\/31\/Zhen%20Dong%20photo%202.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/01\/31\/Zhen%20Dong%20photo%202.jpg","mime":"image\/jpeg","size":3195228,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/01\/31\/Zhen%20Dong%20photo%202.jpg?itok=Pb44uMH5"}}},"media_ids":["676183"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr\u003Emhigh7@gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"679913":{"#nid":"679913","#data":{"type":"event","title":"CSE GSA Spring Kickoff at Paper and Clay","body":[{"value":"\u003Cdiv\u003ECSE GSA invites you to the first social event of the semester at \u003Cstrong\u003EPaper and Clay\u003C\/strong\u003E\u0026nbsp;on \u003Cstrong\u003EFriday, January 31st, from 5-7 p.m\u003C\/strong\u003E. The event will be happening at \u003Ca href=\u0022https:\/\/studentcenter.gatech.edu\/paper-clay\u0022\u003EPaper and Clay\u003C\/a\u003E, located in the pavilion space (across from Dunkin\u0027 and Jimmy Johns).\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003ECome join us for a variety of fun activities - building with clay (by hand or at a wheel), pottery painting, paper crafts, etc. Materials will be provided\u2014just bring your enthusiasm! Food and drinks will also be provided.\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cdiv\u003ECSE GSA invites you to the first social event of the semester at \u003Cstrong\u003EPaper and Clay\u003C\/strong\u003E\u0026nbsp;on \u003Cstrong\u003EFriday, January 31st, from 5-7 p.m\u003C\/strong\u003E. The event will be happening at \u003Ca href=\u0022https:\/\/studentcenter.gatech.edu\/paper-clay\u0022\u003EPaper and Clay\u003C\/a\u003E, located in the pavilion space (across from Dunkin\u0027 and Jimmy Johns).\u003C\/div\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"CSE GSA host the first social event of the semester at Paper and Clay on Friday, January 31st, from 5-7 p.m."}],"uid":"36319","created_gmt":"2025-01-23 20:51:23","changed_gmt":"2025-01-30 02:52:02","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-01-31T17:00:00-05:00","event_time_end":"2025-01-31T19:00:00-05:00","event_time_end_last":"2025-01-31T19:00:00-05:00","gmt_time_start":"2025-01-31 22:00:00","gmt_time_end":"2025-02-01 00:00:00","gmt_time_end_last":"2025-02-01 00:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Paper and Clay","extras":["free_food","freebies"],"hg_media":{"676114":{"id":"676114","type":"image","title":"CSE Paper and Clay.jpg","body":null,"created":"1737665546","gmt_created":"2025-01-23 20:52:26","changed":"1737665546","gmt_changed":"2025-01-23 20:52:26","alt":"CSE GSA Social at Paper and Clay","file":{"fid":"259834","name":"CSE Paper and Clay.jpg","image_path":"\/sites\/default\/files\/2025\/01\/23\/CSE%20Paper%20and%20Clay.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/01\/23\/CSE%20Paper%20and%20Clay.jpg","mime":"image\/jpeg","size":328877,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/01\/23\/CSE%20Paper%20and%20Clay.jpg?itok=XBsECn3u"}}},"media_ids":["676114"],"related_links":[{"url":"https:\/\/www.cse.gatech.edu\/cse-graduate-student-association","title":" CSE Graduate Student Association"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"},{"id":"1791","name":"Student sponsored"}],"invited_audience":[{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:cse-gsa@cc.gatech.edu\u0022\u003E\u003Cstrong\u003Ecse-gsa@cc.gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"679200":{"#nid":"679200","#data":{"type":"event","title":"School of CSE Seminar Series: Mauro Rodriguez","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Mauro Rodriguez, assistant professor at Brown University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;February 7, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Spencer Bryngelson\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003ENumerical Simulations of Inertial Microcavitation for Fluid-Structure Interactions and Soft Matter Rheometry\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E Understanding the\u0026nbsp; bubble dynamics and material response interactions is critical to predicting, enhancing or mitigating damage of soft tissues in biomedical applications (e.g., focused ultrasound therapies). Recent advancements have enabled the mechanical property characterization of soft (tissue-like) materials using spherical microbubbles in the high strain rate regime (i.e., 103 - 108 1\/s). We will present our recent numerical modeling developments to: (i) characterize soft tissues via the Inertial Microcavitation Rheometry (IMR) technique [Estrada\u0026nbsp;et\u0026nbsp;al. JMPS 2018] and (ii) understand the fluid-structure interaction dynamics of a non-spherical inertial microbubble collapse at a gel-water interface.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIMR compares bubble radius histories from numerical simulations and laser-induced cavitation (LIC) experiments for soft material rheometry of hydrogels.\u0026nbsp; We have accelerated the IMR characterization procedure from hours to seconds by using a modified Rayleigh collapse time derived from an energy analysis approach. We show that the augmented collapse time accounts for surface tension, weak compressibility, and linear viscoelastic constitutive models. We obtained agreement between theory, numerical simulations, and LIC experimental data for water and various hydrogels.\u003C\/p\u003E\u003Cp\u003ESoft tissues are typically multi-material environments (e.g., muscle tissue) in which inertially collapsing microbubbles become non-spherical. The modeling and experimental observation of this fluid-structure interaction is challenging and poorly understood and beyond the capabilities of IMR. We will present our study of a simplified geometry involving an inertially collapsing microbubble at a hydrogel-water interface. We leverage the open-source Multi-component Flow Code [Radhakrishnan \u0026amp; Le Berre et al. Comp. Phys. Comm. (2024)] which solves the compressible flow equations using a 6-equation multiphase model with a phase change and hyperelasticity model for compressible materials. We will show the agreement of the strains and velocity contours and wave propagation speeds between our simulations and LIC experiments. Future directions and applications for numerically simulating multi-component flows involving finite deformations in and near viscoelastic materials will also be presented.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EMauro Rodriguez Jr.is an Assistant Professor of Engineering in the School of Engineering at Brown University, where he joined the faculty in 2021. In 2010, Rodriguez earned his B.S. degree with honors in Mechanical Science and Engineering from the University of Illinois at Urbana-Champaign (UIUC). In 2012, he received an M.S. in Mechanical Engineering from Stanford University as a graduate engineering fellow. He earned with Ph.D. in Mechanical Engineering from the University of Michigan, Ann Arbor under the supervision of Professor Eric Johnsen. Rodriguez\u0027s doctoral thesis focused on high-fidelity computational fluid dynamic simulations of bubble dynamics near (linear) viscoelastic media. Prior to joining Brown, Rodriguez was a Ford Foundation and National Science Foundation-Alliances for Graduate Education and the Professoriate postdoctoral research fellow at the California Institute of Technology under the mentorship of Professor Tim Colonius. A Chicago Little Village native, Rodriguez is committed to increasing underserved and underrepresented individuals, diversity, equity, and inclusion across all levels of science, technology, engineering, and math (STEM) workforce pathways.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Mauro Rodriguez, assistant professor at Brown University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;February 7, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Spencer Bryngelson\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003ENumerical Simulations of Inertial Microcavitation for Fluid-Structure Interactions and Soft Matter Rheometry\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Mauro Rodriguez, assistant professor at Brown University"}],"uid":"36319","created_gmt":"2025-01-06 18:54:55","changed_gmt":"2025-01-29 16:31:54","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-02-07T14:00:00-05:00","event_time_end":"2025-02-07T15:00:00-05:00","event_time_end_last":"2025-02-07T15:00:00-05:00","gmt_time_start":"2025-02-07 19:00:00","gmt_time_end":"2025-02-07 20:00:00","gmt_time_end_last":"2025-02-07 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":[],"hg_media":{"675947":{"id":"675947","type":"image","title":"mauro rodriguez.jpg","body":null,"created":"1736189787","gmt_created":"2025-01-06 18:56:27","changed":"1736189787","gmt_changed":"2025-01-06 18:56:27","alt":"CSE seminar Mauro Rodriguez","file":{"fid":"259630","name":"mauro rodriguez.jpg","image_path":"\/sites\/default\/files\/2025\/01\/06\/mauro%20rodriguez.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/01\/06\/mauro%20rodriguez.jpg","mime":"image\/jpeg","size":164565,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/01\/06\/mauro%20rodriguez.jpg?itok=6VXINE8L"}}},"media_ids":["675947"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ESpencer Bryngelson (shb@gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"680000":{"#nid":"680000","#data":{"type":"event","title":"IC Spring Seminar Series with Guest Speaker Jesse Thomason","body":[{"value":"\u003Cp\u003EEmbracing Language as Grounded Communication\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ELanguage is not text data, it is a human medium for communication. The larger part of the natural language processing (NLP) community has doubled down on treating digital text as a sufficient approximation of language, scaling datasets and corresponding models to fit that text. I have argued that experience in the world grounds language, tying it to objects, actions, and concepts. In fact, I believe that language carries meaning only when considered alongside that world, and that the zeitgeist in NLP research currently misses the mark on truly interesting questions at the intersection of human language and machine computation. In this talk, I\u2019ll highlight some of the ways my lab enables agents and robots to better understand and respond to human communication by considering the grounded context in which that communication occurs, including neurosymbolic multimodal reasoning, natural language dialogue and interaction for lifelong learning, and utilizing NLP technologies on non-text communication.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EI am an Assistant Professor at the University of Southern California where I lead the Grounding Language in Actions, Multimodal Observations, and Robots (GLAMOR) Lab. Our research enables agents and robots to better understand and respond to human language by considering the grounded context in which that language occurs by considering three threads: 1) We jointly learning models with language, world perception, and physical action to enable end-to-end agent behavior and improve continual learning; 2) We investigate ways to take advantage of the extra-textual visual world and embodied context in which language is uttered to improve reasoning in language-and-vision and language-guided robotics tasks; and 3) We work to improve speech and sign recognition by leveraging contextual and structural information, as well as to apply language technologies to accessibility and health applications.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EEmbracing Language as Grounded Communication\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ELanguage is not text data, it is a human medium for communication. The larger part of the natural language processing (NLP) community has doubled down on treating digital text as a sufficient approximation of language, scaling datasets and corresponding models to fit that text. I have argued that experience in the world grounds language, tying it to objects, actions, and concepts. In fact, I believe that language carries meaning only when considered alongside that world, and that the zeitgeist in NLP research currently misses the mark on truly interesting questions at the intersection of human language and machine computation. In this talk, I\u2019ll highlight some of the ways my lab enables agents and robots to better understand and respond to human communication by considering the grounded context in which that communication occurs, including neurosymbolic multimodal reasoning, natural language dialogue and interaction for lifelong learning, and utilizing NLP technologies on non-text communication.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Embracing Language as Grounded Communicaiton"}],"uid":"36530","created_gmt":"2025-01-27 20:50:55","changed_gmt":"2025-01-28 15:42:41","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-02-03T12:00:00-05:00","event_time_end":"2025-02-03T13:00:00-05:00","event_time_end_last":"2025-02-03T13:00:00-05:00","gmt_time_start":"2025-02-03 17:00:00","gmt_time_end":"2025-02-03 18:00:00","gmt_time_end_last":"2025-02-03 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"CODA 9th Floor Atrium","extras":[],"hg_media":{"676152":{"id":"676152","type":"image","title":"Thomason_Jesse.jpg","body":null,"created":"1738072230","gmt_created":"2025-01-28 13:50:30","changed":"1738072230","gmt_changed":"2025-01-28 13:50:30","alt":"Jesse Thomason","file":{"fid":"259879","name":"Thomason_Jesse.jpg","image_path":"\/sites\/default\/files\/2025\/01\/28\/Thomason_Jesse.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/01\/28\/Thomason_Jesse.jpg","mime":"image\/jpeg","size":13830,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/01\/28\/Thomason_Jesse.jpg?itok=VlAYaPqV"}}},"media_ids":["676152"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ENathan Deen\u003C\/p\u003E\u003Cp\u003ECommunications Officer\u003C\/p\u003E\u003Cp\u003ESchool of Interactive Computing\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"679989":{"#nid":"679989","#data":{"type":"event","title":"Hacklytics 2025: Jurassic Age","body":[{"value":"\u003Cp\u003EOur goal is to equip you with impactful, hands-on data science experience. Connect with hackers from various backgrounds, build a diverse network, and have fun!\u0026nbsp;\u003Cbr\u003E\u003Cbr\u003EApply with the link in bio by the deadlines below to be a part of this amazing opportunity!\u003C\/p\u003E\u003Cp\u003EEarly Bird (Travel Reimbursement): Jan 6th, 2025\u003C\/p\u003E\u003Cp\u003ERegular Decision: Jan 31st, 2025\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EWhen: February 21-23, 2025\u003C\/p\u003E\u003Cp\u003EWhere: Klaus Advanced Computing Building @ Georgia Tech\u003C\/p\u003E\u003Cp\u003EEarly Bird (Travel Reimbursement): Jan 6th, 2025\u003C\/p\u003E\u003Cp\u003ERegular Decision: Jan 31st, 2025\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Hacklytics 2025 applications are still open!"}],"uid":"35916","created_gmt":"2025-01-27 18:12:35","changed_gmt":"2025-01-27 18:36:02","author":"tbarashango3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-02-21T00:00:00-05:00","event_time_end":"2025-02-23T23:59:59-05:00","event_time_end_last":"2025-02-23T23:59:59-05:00","gmt_time_start":"2025-02-21 05:00:00","gmt_time_end":"2025-02-24 04:59:59","gmt_time_end_last":"2025-02-24 04:59:59","rrule":null,"timezone":"America\/New_York"},"location":"Klaus Advanced Computing Building @ Georgia Tech","extras":[],"hg_media":{"676144":{"id":"676144","type":"image","title":"Hacklytics_flyer1.png","body":null,"created":"1738002486","gmt_created":"2025-01-27 18:28:06","changed":"1738002486","gmt_changed":"2025-01-27 18:28:06","alt":"Flyer with information about Hacklytics 2025","file":{"fid":"259867","name":"Hacklytics_flyer1.png","image_path":"\/sites\/default\/files\/2025\/01\/27\/Hacklytics_flyer1.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/01\/27\/Hacklytics_flyer1.png","mime":"image\/png","size":207340,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/01\/27\/Hacklytics_flyer1.png?itok=YWqcoNdN"}},"676145":{"id":"676145","type":"image","title":"Hacklytics_flyer2.png","body":null,"created":"1738002576","gmt_created":"2025-01-27 18:29:36","changed":"1738002576","gmt_changed":"2025-01-27 18:29:36","alt":"Flyer with information and QR code for Hacklytics 2025","file":{"fid":"259868","name":"Hacklytics_flyer2.png","image_path":"\/sites\/default\/files\/2025\/01\/27\/Hacklytics_flyer2.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/01\/27\/Hacklytics_flyer2.png","mime":"image\/png","size":212165,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/01\/27\/Hacklytics_flyer2.png?itok=no6ck3RE"}}},"media_ids":["676144","676145"],"groups":[{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[{"id":"191911","name":"hacklytics"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"},{"id":"1788","name":"Other\/Miscellaneous"},{"id":"26411","name":"Training\/Workshop"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E@hacklytics\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"679911":{"#nid":"679911","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Zhecheng Wang","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EZhecheng Wang, Postdoctoral Scholar from Stanford University\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, January 28, 2024 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business, Room 101 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/32i1a9jczDQb5vJV7\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ECoffee, drinks, and snacks provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EAI-Enabled Computational Sustainability for Human-Centered Decarbonization and Climate Adaptation\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Data and information are critical for shaping a sustainable, climate-resilient future. Policymakers need granular spatiotemporal data on renewable energy adoption to design effective financial incentives. Infrastructure planners require detailed information about infrastructure vulnerabilities to prioritize upgrades for disaster risk mitigation. Individuals depend on timely situational awareness in the face of disasters. Unfortunately, much of this information is fragmented in \u201cinformation silos\u201d. In this talk, I will introduce my work on \u201cAI-Enabled Sustainability Informatics\u201d\u2014developing label-efficient, domain-aware AI models to bridge the information gaps, transforming large-scale, unstructured geospatial data (e.g., remote sensing images) into actionable sustainability insights.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EOn the AI front, I will present my work on (1) developing task-specific models that address the label scarcity and multi-modal fusion challenges for mapping distributed energy infrastructures (e.g., solar PVs, electricity distribution grid); and (2) creating task-agnostic, multi-modal AI foundation models for efficiently searching the Earth at scale. On the front of knowledge discovery for sustainability, I will present how I utilize these new models to build the first and, by far, the most comprehensive solar PV database in the U.S., advance our understanding of solar PV adoption and electrical grid vulnerability to wildfires, and generate actionable insights for designing effective solar PV incentives and affordable infrastructure upgrade plans. I will conclude this talk by sharing my vision on advancing computational sustainability to support human-centered climate adaptation.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EZhecheng Wang is a postdoctoral scholar at Stanford University. He received his Ph.D. degree in Civil and Environmental Engineering and a Ph.D. minor degree in Computer Science from Stanford University. His research centers on AI-enabled sustainability informatics\u2014combining problem-driven AI innovations with domain knowledge to transform large-scale, unstructured geospatial data into sustainability insights. The goal is to create new knowledge and AI-enabled solutions for accelerating decarbonization, improving disaster resilience, and ensuring equity. His research outcomes have been published in leading multi-disciplinary journals and AI conferences (e.g., Nature Energy, Joule, Nature Communications, AAAI), covered by many media outlets (e.g., MIT Technology Review, The Hill), and translated into a startup for advancing sustainable AI called GridCARE. He is a recipient of the Human-Centered AI Postdoctoral Fellowship and the Stanford Interdisciplinary Graduate Fellowship.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EZhecheng Wang, Postdoctoral Scholar from Stanford University\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, January 28, 2024 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business, Room 101 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/32i1a9jczDQb5vJV7\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EAI-Enabled Computational Sustainability for Human-Centered Decarbonization and Climate Adaptation\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: AI-Enabled Computational Sustainability for Human-Centered Decarbonization and Climate Adaptation"}],"uid":"36319","created_gmt":"2025-01-23 20:34:20","changed_gmt":"2025-01-23 20:39:41","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-01-28T11:00:00-05:00","event_time_end":"2025-01-28T12:00:00-05:00","event_time_end_last":"2025-01-28T12:00:00-05:00","gmt_time_start":"2025-01-28 16:00:00","gmt_time_end":"2025-01-28 17:00:00","gmt_time_end_last":"2025-01-28 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Scheller, Room 101","extras":["free_food"],"hg_media":{"676113":{"id":"676113","type":"image","title":"Zhecheng Wang photo.jpg","body":null,"created":"1737664669","gmt_created":"2025-01-23 20:37:49","changed":"1737664669","gmt_changed":"2025-01-23 20:37:49","alt":"CSE Faculty Candidate Seminar Zhecheng Wang","file":{"fid":"259833","name":"Zhecheng Wang photo.jpg","image_path":"\/sites\/default\/files\/2025\/01\/23\/Zhecheng%20Wang%20photo.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/01\/23\/Zhecheng%20Wang%20photo.jpg","mime":"image\/jpeg","size":138870,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/01\/23\/Zhecheng%20Wang%20photo.jpg?itok=9OPq7nGi"}}},"media_ids":["676113"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr\u003Emhigh7@gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"679887":{"#nid":"679887","#data":{"type":"event","title":"2025 College of Computing Spring Career Fair","body":[{"value":"\u003Cp\u003EEvent:\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; 2025 CoC Spring Career Fair\u003C\/p\u003E\u003Cp\u003EDate:\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; February 4, 2025\u003C\/p\u003E\u003Cp\u003ETime:\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;Jump Start Early Admission - 9 AM \u2013 10 AM\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;General Admission \u2013 10 AM \u2013 3 PM\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ELocation:\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; \u0026nbsp;McCamish Pavilion\u003C\/p\u003E\u003Cp\u003EBring:\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;Plenty of Resumes\u003C\/p\u003E\u003Cp\u003EAttire:\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; Business\u003C\/p\u003E\u003Cp\u003EBag Drop:\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; \u0026nbsp;Tennis Center across from McCamish\u003Cbr\u003E\u003Cbr\u003EFor more information, visit the link below:\u003Cbr\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/gt-computing-career-fair-student-information\u0022\u003Ehttps:\/\/www.cc.gatech.edu\/gt-computing-career-fair-student-information\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EWelcome Students! The College of Computing hosts a bi-annual, strategic event that provides you with opportunities to connect with hundreds of employers, and interview with companies who fit your career aspirations.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"\u200bThe Spring 2025 Career Fair will be held Tuesday, February 4th at the Georgia Tech McCamish Pavilion."}],"uid":"35916","created_gmt":"2025-01-23 16:15:24","changed_gmt":"2025-01-23 16:32:15","author":"tbarashango3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-02-04T10:00:00-05:00","event_time_end":"2025-02-04T15:30:00-05:00","event_time_end_last":"2025-02-04T15:30:00-05:00","gmt_time_start":"2025-02-04 15:00:00","gmt_time_end":"2025-02-04 20:30:00","gmt_time_end_last":"2025-02-04 20:30:00","rrule":null,"timezone":"America\/New_York"},"location":"McCamish Pavilion","extras":[],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/gt-computing-career-fair-student-information","title":"Career Fair Student Information"}],"groups":[{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[{"id":"4354","name":"career fair"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003Ecareerfair@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"676550":{"#nid":"676550","#data":{"type":"event","title":"CANCELED School of CSE Seminar Series: Guannan Zhang","body":[{"value":"\u003Cp\u003E\u003Cem\u003EAs of Jan. 9, this seminar has been canceled due to expected inclement weather\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Guannan Zhang, senior staff scientist at Oak Ridge National Laboratory\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;January 10, 2:00-3:00 p.m. (Rescheduled from Sept. 27, 2024)\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Peng Chen\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EGenerative Machine Learning Models for Uncertainty Quantification\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Generative machine learning models, including variational auto-encoders, normalizing flows, generative adversarial networks, diffusion models, have dramatically improved the quality and realism of generated content, whether it\u0027s images, text, or audio. In science and engineering, generative models can be used as powerful tools for probability density estimation or high-dimensional sampling that critical capabilities in uncertainty quantification (UQ), e.g., Bayesian inference for parameter estimation. Studies on generative models for image\/audio synthesis focus on improving the quality of individual sample, which often make the generative models complicated and difficult to train. On the other hand, UQ tasks usually focus on accurate approximation of quantities of interest without worrying about the quality of any individual sample, so direct application of existing generative models to UQ tasks may lead to inaccurate approximation or unstable training process. To alleviate those challenges, we developed several new generative models for various UQ tasks, including training-free diffusion models for density estimation, and a score-based nonlinear filter for data assimilation, as well as scalable implementations of our UQ methods on OLCF\u2019s supercomputers. We will discuss the effectiveness of those methods in various UQ tasks including density estimation for single and multi-modal distributions, learning stochastic dynamical systems, amortized inference for parameters estimation, and scalable data assimilation for atmosphere models.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Dr. Guannan Zhang is a Senior Staff Scientist\u0026nbsp;in\u0026nbsp;Machine Learning and Data Analytics Group\u0026nbsp;at Oak Ridge National Laboratory (ORNL).\u0026nbsp;He earned my Ph.D. in applied mathematics at Florida State University in 2012. He joined ORNL in 2012 as the Householder fellow in the Computer Science and Mathematics Division. He received the DOE Early Career Award in 2022.\u0026nbsp;He has been holding\u0026nbsp;a joint faculty appointment with the Department of Mathematics and Statistics at Auburn University since 2014, and a joint faculty appointment with Department of Mathematics at University of Tennessee since 2022. Guannan\u0027s research interests include\u0026nbsp;high-dimensional approximation, uncertainty quantification, machine learning and artificial intelligence, stochastic optimization and control.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cem\u003EAs of Jan. 9, this seminar has been canceled due to expected inclement weather\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Guannan Zhang, senior staff scientist at Oak Ridge National Laboratory\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;January 10, 2:00-3:00 p.m. (Rescheduled from Sept. 27, 2024)\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Peng Chen\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EGenerative Machine Learning Models for Uncertainty Quantification\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Guannan Zhang, senior staff scientist at Oak Ridge National Laboratory"}],"uid":"36319","created_gmt":"2024-09-05 18:12:33","changed_gmt":"2025-01-09 13:25:59","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-01-10T14:00:00-05:00","event_time_end":"2025-01-10T15:00:00-05:00","event_time_end_last":"2025-01-10T15:00:00-05:00","gmt_time_start":"2025-01-10 19:00:00","gmt_time_end":"2025-01-10 20:00:00","gmt_time_end_last":"2025-01-10 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":[],"hg_media":{"674837":{"id":"674837","type":"image","title":"Guannan Zhang.jpeg","body":null,"created":"1725559999","gmt_created":"2024-09-05 18:13:19","changed":"1725559999","gmt_changed":"2024-09-05 18:13:19","alt":"CSE Seminar Series","file":{"fid":"258401","name":"Guannan Zhang.jpeg","image_path":"\/sites\/default\/files\/2024\/09\/05\/Guannan%20Zhang.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/09\/05\/Guannan%20Zhang.jpeg","mime":"image\/jpeg","size":11470,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/09\/05\/Guannan%20Zhang.jpeg?itok=ejFnO5Js"}}},"media_ids":["674837"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EPeng Chen (pchen402@gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"679211":{"#nid":"679211","#data":{"type":"event","title":"SCP Special Guest Speaker: Dr. Rachel Greenstadt, Professor of Computer Science at New York University","body":[{"value":"\u003Cdiv\u003E\u003Cp\u003ETitle : Manipulation of Online Discourse: Anonymity,\u0026nbsp; Authorship verification, and Conspiracy Theory Monetization\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003EAbstract: Social media has become an important method for information sharing, but it has also created opportunities for bad actors to easily spread disinformation and manipulate public opinion. This talk will discuss my work measuring the value of anonymous online contributions, improving authorship verification algorithms and using them to measure abuse in online communities, understanding how coordinated harassment is sustained, and understanding how conspiracy theories are monetized via ads on YouTube. This work is interdisciplinary (blending qualitative methods, guided measurement, machine learning), but grounded in the adversarial perspective of cybersecurity. We find that Tor users editing Wikipedia produce comparable quality to other inexperienced users, authorship verification can help us understand disinformation campaigns like during the 2016 presidential election and the GameStop short squeeze, internet service providers can unwittingly worsen harassment campaigns by passing along PII to harassers, and that, in comparison with mainstream content, conspiracy videos had similar levels of ads from well-known brands, but an almost eleven times higher prevalence of likely predatory or deceptive ads.\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003EBio: Dr. Rachel Greenstadt is a Professor of Computer Science at New York University where she researches computer security and privacy. She\u0026nbsp;founded the Privacy, Security, and Automation Laboratory at Drexel University in 2008 and brought it to NYU in 2019. She leads a research team of PhD students and undergraduates with interests and expertise in information extraction, machine learning, human-centered computing, privacy, trust, and security.\u0026nbsp;Dr. Greenstadt\u2019s scholarship has been recognized by the privacy research community. She is an alum of the DARPA Computer Science Study Group and a recipient of the NSF CAREER Award. Her work has received the\u0026nbsp;PET Award for Outstanding Research in Privacy Enhancing Technologies, the USENIX Distinguished Paper Award, the CSCW Best Paper Award,\u0026nbsp;and the Andreas Pfitzmann Best Student Paper Award. She served as co-editor-in-chief of the journal Proceedings on Privacy Enhancing Technologies (PoPETs) for\u0026nbsp;the\u0026nbsp;2017 and 2018 volumes and was the co-program-chair of the 2021 USENIX Security Symposium. She is a member of the CRA Computing Community Consortium Council.\u0026nbsp;Her research has been featured in the New York Times, the New Republic, Der Spiegel, and other local and international media outlets.\u003C\/p\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EDr. Greenstadt\u0027s talk will be of interest to human centered computing and cybersecurity faculty as well as their students.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"We are looking forward to welcoming Dr. Greenstadt to campus!"}],"uid":"36253","created_gmt":"2025-01-06 18:15:21","changed_gmt":"2025-01-07 15:14:55","author":"John Popham","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-01-09T11:00:00-05:00","event_time_end":"2025-01-09T12:30:00-05:00","event_time_end_last":"2025-01-09T12:30:00-05:00","gmt_time_start":"2025-01-09 16:00:00","gmt_time_end":"2025-01-09 17:30:00","gmt_time_end_last":"2025-01-09 17:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda Building, 9th Floor Atrium","extras":[],"hg_media":{"675954":{"id":"675954","type":"image","title":"scp seminar graphic_sml.png","body":null,"created":"1736199631","gmt_created":"2025-01-06 21:40:31","changed":"1736199631","gmt_changed":"2025-01-06 21:40:31","alt":"An info graphic about an event","file":{"fid":"259637","name":"scp seminar graphic_sml.png","image_path":"\/sites\/default\/files\/2025\/01\/06\/scp%20seminar%20graphic_sml.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/01\/06\/scp%20seminar%20graphic_sml.png","mime":"image\/png","size":1211446,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/01\/06\/scp%20seminar%20graphic_sml.png?itok=JCByIHUx"}},"675953":{"id":"675953","type":"image","title":"Rachel Greenstadt_Bio Pic[23].jpg","body":null,"created":"1736196789","gmt_created":"2025-01-06 20:53:09","changed":"1736196789","gmt_changed":"2025-01-06 20:53:09","alt":"Person wearing glasses and a purple and grey shirt.","file":{"fid":"259635","name":"Rachel Greenstadt_Bio Pic[23].jpg","image_path":"\/sites\/default\/files\/2025\/01\/06\/Rachel%20Greenstadt_Bio%20Pic%5B23%5D.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/01\/06\/Rachel%20Greenstadt_Bio%20Pic%5B23%5D.jpg","mime":"image\/jpeg","size":4008097,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/01\/06\/Rachel%20Greenstadt_Bio%20Pic%5B23%5D.jpg?itok=4XdwZrAV"}}},"media_ids":["675954","675953"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"660373","name":"School of Cybersecurity \u0026 Privacy (Do not use)"},{"id":"660367","name":"School of Cybersecurity and Privacy"}],"categories":[],"keywords":[{"id":"101331","name":"#IamGTComputing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ENickie Cayce-Griffis\u003Cbr\u003EAssistant to the Chair\u003Cbr\u003ESchool of Cybersecurity and Privacy\u003Cbr\u003Encgriffis@gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"679168":{"#nid":"679168","#data":{"type":"event","title":"School of CSE Seminar Series: Nathan Kutz","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Nathan Kutz, professor at the University of Washington\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;January 17, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, 9th Floor Atrium\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Peng Chen\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EModern Sensing and Learning with Machine Learning\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E: Sensing is a universal task in science and engineering. Downstream tasks from sensing include learning dynamical models, inferring full state estimates of a system (system identification), control decisions, and forecasting. These tasks are exceptionally challenging to achieve with limited sensors, noisy measurements, and corrupt or missing data. Existing techniques typically use current (static) sensor measurements to perform such tasks and require principled sensor placement or an abundance of randomly placed sensors. In contrast, we propose a SHallow REcurrent Decoder (SHRED) neural network structure which incorporates (i) a recurrent neural network (LSTM) to learn a latent representation of the temporal dynamics of the sensors, and (ii) a shallow decoder that learns a mapping between this latent representation and the high-dimensional state space. By explicitly accounting for the time-history, or trajectory, of the sensor measurements, SHRED enables accurate reconstructions with far fewer sensors, outperforms existing techniques when more measurements are available, and is agnostic towards sensor placement. In addition, a compressed representation of the high-dimensional state is directly obtained from sensor measurements, which provides an on-the-fly compression for modeling physical and engineering systems. Forecasting is also achieved from the sensor time-series data alone, producing an efficient paradigm for predicting temporal evolution with an exceptionally limited number of sensors. In the example cases explored, including turbulent flows, complex spatio-temporal dynamics can be characterized with exceedingly limited sensors that can be randomly placed with minimal loss of performance.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E: Nathan Kutz is the Yasuko Endo and Robert Bolles Professor of Applied Mathematics and Electrical and Computer Engineering and Director of the AI Institute in Dynamic Systems at the University of Washington, having served as chair of applied mathematics from 2007-2015.\u0026nbsp; He received the BS degree in physics and mathematics from the University of Washington in 1990 and the Phd in applied mathematics from Northwestern University in 1994. He was a postdoc in the applied and computational mathematics program at Princeton University before taking his faculty position. He has a wide range of interests, including neuroscience to fluid dynamics where he integrates machine learning with dynamical systems and control.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Nathan Kutz, professor at the University of Washington\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;January 17, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, 9th Floor Atrium\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Peng Chen\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EModern Sensing and Learning with Machine Learning\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from University of Washington Professor Nathan Kutz"}],"uid":"36319","created_gmt":"2025-01-06 13:30:54","changed_gmt":"2025-01-06 18:50:17","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-01-17T14:00:00-05:00","event_time_end":"2025-01-17T15:00:00-05:00","event_time_end_last":"2025-01-17T15:00:00-05:00","gmt_time_start":"2025-01-17 19:00:00","gmt_time_end":"2025-01-17 20:00:00","gmt_time_end_last":"2025-01-17 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda Building, 9th Floor Atrium","extras":[],"hg_media":{"675946":{"id":"675946","type":"image","title":"Nathan Kutz 2.jpg","body":null,"created":"1736189394","gmt_created":"2025-01-06 18:49:54","changed":"1736189394","gmt_changed":"2025-01-06 18:49:54","alt":"CSE Seminar Nathan Kutz","file":{"fid":"259629","name":"Nathan Kutz 2.jpg","image_path":"\/sites\/default\/files\/2025\/01\/06\/Nathan%20Kutz%202.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/01\/06\/Nathan%20Kutz%202.jpg","mime":"image\/jpeg","size":6982,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/01\/06\/Nathan%20Kutz%202.jpg?itok=wZtFOycI"}}},"media_ids":["675946"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EPeng Chen (pchen402@gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"676642":{"#nid":"676642","#data":{"type":"event","title":"School of CSE Seminar Series: Spyros Reveliotis","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Spyros Reveliotis, professor at the H. Milton Stewart School of Industrial and Systems Engineering\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;Postponed\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;TBD\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Nabil Imam\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E: TBD\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E: TBD\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Spyros Reveliotis, professor at the H. Milton Stewart School of Industrial and Systems Engineering\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;Postponed\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;TBD\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Nabil Imam\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003ETBD\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"(Postponed) School of CSE hosts a seminar from Georgia Tech Professor Spyros Reveliotis"}],"uid":"36319","created_gmt":"2024-09-09 15:47:56","changed_gmt":"2024-11-21 15:10:27","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-11-22T14:00:00-05:00","event_time_end":"2024-11-22T15:00:00-05:00","event_time_end_last":"2024-11-22T15:00:00-05:00","gmt_time_start":"2024-11-22 19:00:00","gmt_time_end":"2024-11-22 20:00:00","gmt_time_end_last":"2024-11-22 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"TBD","extras":[],"hg_media":{"674897":{"id":"674897","type":"image","title":"Spyros Reveliotis.jpg","body":null,"created":"1725896922","gmt_created":"2024-09-09 15:48:42","changed":"1725896922","gmt_changed":"2024-09-09 15:48:42","alt":"CSE Seminar Series","file":{"fid":"258462","name":"Spyros Reveliotis.jpg","image_path":"\/sites\/default\/files\/2024\/09\/09\/Spyros%20Reveliotis.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/09\/09\/Spyros%20Reveliotis.jpg","mime":"image\/jpeg","size":41193,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/09\/09\/Spyros%20Reveliotis.jpg?itok=G3NBCrio"}}},"media_ids":["674897"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ENabil Imam (nimam6@gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"676641":{"#nid":"676641","#data":{"type":"event","title":"School of CSE Seminar Series: Giulia Guidi","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Giulia Guidi, assistant professor at Cornell University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;November 15, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller 201\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Helen Xu and CSE GSA\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EOvercoming Parallelism Challenges in Data Analytics Using Sparse Linear Algebra\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E: The diverse and non-trivial challenges of parallelism in data analytics require computing infrastructures that go beyond the demand of traditional simulation-based sciences. The growing data volume and complexity have outpaced the processing capacity of single-node machines in these areas, making massively parallel systems an indispensable tool. However, programming on high-performance computing (HPC) systems poses significant productivity and scalability challenges. It is important to introduce an abstraction layer that provides programming flexibility and productivity while ensuring high system performance. As we enter the post-Moore\u0027s Law era, effective programming of specialized architectures is critical for improved performance in HPC. As large-scale systems become more heterogeneous, their efficient use for new, often irregular and communication-intensive data analysis computation becomes increasingly complex. In this talk, we discuss how sparse linear algebra can be used to achieve performance and scalability on extreme-scale systems while maintaining productivity for emerging data-intensive scientific challenges.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E: Giulia Guidi is an assistant professor in the Department of Computer Science and a graduate field faculty in the Department of Computational Biology and the Center for Applied Math at Cornell. She received her Ph.D. in Computer Science from UC Berkeley. She works in the field of high-performance computing for large-scale computational sciences. She is interested in developing algorithms and software infrastructures on parallel machines to speed up data processing without sacrificing programming productivity and to make high-performance computing more accessible. Dr. Guidi received the 2024 SIAM Activity Group on Supercomputing Early Career Prize for her pioneering work bridging high-performance computing and computational biology.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Giulia Guidi, assistant professor at Cornell University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;November 15, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller 201\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Helen Xu and CSE GSA\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EOvercoming Parallelism Challenges in Data Analytics Using Sparse Linear Algebra\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Cornell University Assistant Professor Giulia Guidi"}],"uid":"36319","created_gmt":"2024-09-09 15:41:44","changed_gmt":"2024-11-12 13:50:03","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-11-15T14:00:00-05:00","event_time_end":"2024-11-15T15:00:00-05:00","event_time_end_last":"2024-11-15T15:00:00-05:00","gmt_time_start":"2024-11-15 19:00:00","gmt_time_end":"2024-11-15 20:00:00","gmt_time_end_last":"2024-11-15 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Scheller, Room 201","extras":[],"hg_media":{"674895":{"id":"674895","type":"image","title":"Giulia Guidi.jpg","body":null,"created":"1725896589","gmt_created":"2024-09-09 15:43:09","changed":"1725896589","gmt_changed":"2024-09-09 15:43:09","alt":"CSE Seminar Series","file":{"fid":"258461","name":"Giulia Guidi.jpg","image_path":"\/sites\/default\/files\/2024\/09\/09\/Giulia%20Guidi.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/09\/09\/Giulia%20Guidi.jpg","mime":"image\/jpeg","size":1636492,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/09\/09\/Giulia%20Guidi.jpg?itok=USn29uEb"}}},"media_ids":["674895"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EHelen Xu (hxu615@gatech.edu)\u003C\/p\u003E\u003Cp\u003ECSE GSA (cse-gsa@cc.gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"678294":{"#nid":"678294","#data":{"type":"event","title":" SCP Special Guest Speaker: Dmitri Alperovitch, Chairman of the Silverado Policy Accelerator","body":[{"value":"\u003Cdiv\u003EThe School of Cybersecurity and Privacy is excited to welcome Dmitri Alperovitch, Chairman of the Silverado Policy Accelerator, author of World on the Brink, and Georgia Tech Alumni of the MS InfoSec program, for a special event on November 21. He will give a special presentation for two graduate classes in the morning followed by a Fireside Chat about his new book. All events will be in the Coda Building.\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cp\u003E\u003Cstrong\u003EFireside Chat Information\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003E11:00 a.m.\u0026nbsp;- 12:15 p.m. -\u003C\/strong\u003E\u0026nbsp;Fireside Chat with \u003Cstrong\u003EDmitri Alperovitch\u003C\/strong\u003E about his book, \u003Cem\u003EWorld on the Brink: How America Can Beat China in the Race for the Twenty-First Century\u003C\/em\u003E. The talk will be moderated by \u003Cstrong\u003EAdam Stulberg\u003C\/strong\u003E, Sam Nunn School Chair and Professor in the Sam Nunn School of International Affairs.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cdiv\u003E\u003Cdiv\u003EThe School of Cybersecurity and Privacy is excited to welcome Dmitri Alperovitch, Chairman of the Silverado Policy Accelerator, author of World on the Brink, and Georgia Tech Alumni of the MS InfoSec program, for a special event on November 21. He will give a special presentation for two graduate classes in the morning followed by a Fireside Chat about his new book. All events will be in the Coda Building.\u003C\/div\u003E\u003C\/div\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The School of Cybersecurity and Privacy is excited to welcome Dmitri Alperovitch, Chairman of the Silverado Policy Accelerator, author of World on the Brink, and Georgia Tech Alumni of the MS InfoSec program, for a special event on November 21."}],"uid":"36253","created_gmt":"2024-11-08 16:36:07","changed_gmt":"2024-11-08 16:40:12","author":"John Popham","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-11-21T11:00:00-05:00","event_time_end":"2024-11-21T12:15:00-05:00","event_time_end_last":"2024-11-21T12:15:00-05:00","gmt_time_start":"2024-11-21 16:00:00","gmt_time_end":"2024-11-21 17:15:00","gmt_time_end_last":"2024-11-21 17:15:00","rrule":null,"timezone":"America\/New_York"},"location":"Nov. 21st in Coda, 9th floor Atruim","extras":[],"hg_media":{"675561":{"id":"675561","type":"image","title":"scp_Alperovitch_visit_graphic_external.jpg","body":null,"created":"1731083855","gmt_created":"2024-11-08 16:37:35","changed":"1731083855","gmt_changed":"2024-11-08 16:37:35","alt":"event graphic","file":{"fid":"259199","name":"scp_Alperovitch_visit_graphic_external.jpg","image_path":"\/sites\/default\/files\/2024\/11\/08\/scp_Alperovitch_visit_graphic_external.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/11\/08\/scp_Alperovitch_visit_graphic_external.jpg","mime":"image\/jpeg","size":1556217,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/11\/08\/scp_Alperovitch_visit_graphic_external.jpg?itok=re1SqJmz"}}},"media_ids":["675561"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"660373","name":"School of Cybersecurity \u0026 Privacy (Do not use)"},{"id":"660367","name":"School of Cybersecurity and Privacy"}],"categories":[],"keywords":[{"id":"11015","name":"author event"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"678090":{"#nid":"678090","#data":{"type":"event","title":"CSE GSA Mentoring Workshop","body":[{"value":"\u003Cp\u003EJoin us for a workshop on optimizing advisor-advisee relationships with Jana Stone, director of Professional Development and Postdoctoral Services within the Office of the Vice Provost for Graduate Education and Faculty Development at Georgia Tech!\u003C\/p\u003E\u003Cp\u003EIf you are interested in helping with career panels or other GSA-organized events, please fill in\u0026nbsp;\u003Ca href=\u0022https:\/\/forms.gle\/nGXcVqtYMt3BCWaJ7\u0022 id=\u0022OWAad517391-78c3-0f22-d27f-4159121b38d8\u0022 rel=\u0022noopener noreferrer\u0022 title=\u0022https:\/\/forms.gle\/nGXcVqtYMt3BCWaJ7\u0022\u003Ethis form\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate\/Time:\u003C\/strong\u003E November 11, 11:00 a.m. - 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E Coda Building, Room C1215\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ERSVP:\u003C\/strong\u003E Space will be limited and we ask you to RSVP using \u003Ca href=\u0022https:\/\/forms.office.com\/r\/bhtdGZu1P3\u0022\u003Ethis form\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ELunch will be provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDetails:\u003C\/strong\u003E\u003C\/p\u003E\u003Cdiv\u003E\u003Cp\u003E\u003Cem\u003EOptimizing the Advisor-Advisee Relationship\u003C\/em\u003E\u003C\/p\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cp\u003EIn this workshop, you will learn how to navigate your relationship with your research advisor. We will concentrate on setting mutual expectations and maintaining effective communications during your time working together on your research projects. In other words, how to \u201cMentor Up\u201d so that you can be more productive and avoid the communication pitfalls that many graduate students experience.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EAbout Jana Stone\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003EJana Stone is director of Professional Development and Postdoctoral Services within the Office of the Vice Provost for Graduate Education and Faculty Development at Georgia Tech. Stone manages a team that includes graduate career advising, the Graduate Co-op and internship program, and postdoctoral services. She has been at Georgia Tech since 2013, when she was hired to establish the Office of Postdoctoral Services. She has served on the Board of Directors of the National Postdoctoral Association and is a member of a Graduate Career Consortium\u0027s benchmarking and career outcomes committees. Stone earned a Ph.D. in genetics and molecular biology from the University of North Carolina at Chapel Hill and a bachelor\u2019s of science in microbiology from Indiana University. As a postdoctoral fellow at the National Institute of Environmental Health Sciences, her research focused on DNA replication and mutagenesis.\u003C\/p\u003E\u003C\/div\u003E\u003Cp\u003ECheck out the \u003Ca href=\u0022https:\/\/cse.gatech.edu\/cse-graduate-student-association\u0022\u003ECSE GSA webpage\u003C\/a\u003E for more upcoming events and activities!\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJoin us for a workshop on optimizing advisor-advisee relationships with Jana Stone, director of Professional Development and Postdoctoral Services within the Office of the Vice Provost for Graduate Education and Faculty Development at Georgia Tech!\u003C\/p\u003E\u003Cp\u003EIf you are interested in helping with career panels or other GSA-organized events, please fill in\u0026nbsp;\u003Ca href=\u0022https:\/\/forms.gle\/nGXcVqtYMt3BCWaJ7\u0022 id=\u0022OWAad517391-78c3-0f22-d27f-4159121b38d8\u0022 rel=\u0022noopener noreferrer\u0022 title=\u0022https:\/\/forms.gle\/nGXcVqtYMt3BCWaJ7\u0022\u003Ethis form\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate\/Time:\u003C\/strong\u003E November 11, 11:00 a.m. - 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E Coda Building, Room C1215\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The CSE Graduate Student Association welcomes students for a workshop on optimizing advisor-advisee relationships"}],"uid":"36319","created_gmt":"2024-11-01 16:21:58","changed_gmt":"2024-11-05 12:40:52","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-11-11T11:00:00-05:00","event_time_end":"2024-11-11T12:00:00-05:00","event_time_end_last":"2024-11-11T12:00:00-05:00","gmt_time_start":"2024-11-11 16:00:00","gmt_time_end":"2024-11-11 17:00:00","gmt_time_end_last":"2024-11-11 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room C1215","extras":["free_food"],"hg_media":{"673605":{"id":"673605","type":"image","title":"0B1A9496_1.jpg","body":null,"created":"1712170480","gmt_created":"2024-04-03 18:54:40","changed":"1712170480","gmt_changed":"2024-04-03 18:54:40","alt":"CSE GSA 2024 Faculty Carer Panel","file":{"fid":"257021","name":"0B1A9496_1.jpg","image_path":"\/sites\/default\/files\/2024\/04\/03\/0B1A9496_1.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/04\/03\/0B1A9496_1.jpg","mime":"image\/jpeg","size":2047890,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/04\/03\/0B1A9496_1.jpg?itok=uAPtvzo2"}}},"media_ids":["673605"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"},{"id":"26411","name":"Training\/Workshop"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ECSE Graduate Student Association\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022mailto:cse-gsa@cc.gatech.edu\u0022\u003E\u003Cstrong\u003Ecse-gsa@cc.gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"677874":{"#nid":"677874","#data":{"type":"event","title":"Berlin Summer 2025 Application Deadline Nov 1","body":[{"value":"\u003Cp\u003EWe invite you to study abroad this summer with the College of Computing! Take 12 GT credit hours while immersing yourself in the exciting environments of Berlin. See below for information on program details and application info.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022http:\/\/cc.gatech.edu\/berlin\u0022 title=\u0022http:\/\/cc.gatech.edu\/berlin\u0022\u003E\u003Cstrong\u003EBerlin Summer Program\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;2025 course offerings include:\u003C\/p\u003E\u003Cul type=\u0022disc\u0022\u003E\u003Cli\u003ECS 2050 \u2013 Intro to Discrete Math\u003C\/li\u003E\u003Cli\u003ECS 2340 \u2013 Objects and Design\u003C\/li\u003E\u003Cli\u003ECS 2701 \u2013 Startup Lab\u003C\/li\u003E\u003Cli\u003ECS 3510 \u2013 Algorithm Design\u003C\/li\u003E\u003Cli\u003ECS 4001 \u2013 Computing and Society\u0026nbsp;\u003Cstrong\u003E(Ethics credit)\u003C\/strong\u003E\u003C\/li\u003E\u003Cli\u003ECS 4400 \u2013 Intro to Database Systems\u003C\/li\u003E\u003Cli\u003ELMC 3262 \u2013 Performance Studies\u0026nbsp;\u003Cstrong\u003E(Humanities credit)\u003C\/strong\u003E\u003C\/li\u003E\u003Cli\u003ELMC 3314 \u2013 Technologies of Representation\u0026nbsp;\u003Cstrong\u003E(Humanities credit)\u003C\/strong\u003E\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EBerlin is a growing Tech Hub in Europe, home to innovative companies and research institutions, and host to tech meetups, hackathons, and conferences. With focus on entrepreneurship and start-up culture, this program is a great option if you are a CM major, if your CS Threads are Intelligence or Information-Internetworks, or if you\u2019re doing the Create-X: Idea-To-Protype Junior Design option.\u003C\/p\u003E\u003Cp\u003EReview the attached flyer and email\u0026nbsp;\u003Ca href=\u0022mailto:berlin@cc.gatech.edu\u0022 title=\u0022mailto:berlin@cc.gatech.edu\u0022\u003Eberlin@cc.gatech.edu\u003C\/a\u003E\u0026nbsp;for questions.\u0026nbsp;\u003Cstrong\u003EApplication deadline: November 1st\u003C\/strong\u003E\u0026nbsp;in\u0026nbsp;\u003Ca href=\u0022https:\/\/atlas.gatech.edu\/index.cfm?FuseAction=Programs.ViewProgramAngular\u0026amp;id=10174\u0022 title=\u0022https:\/\/atlas.gatech.edu\/index.cfm?FuseAction=Programs.ViewProgramAngular\u0026amp;id=10174\u0022\u003EAtlas\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EApply to the Berlin Summer 2025 program before our deadline Nov 1st! \u003Ca href=\u0022https:\/\/atlas.gatech.edu\/index.cfm?FuseAction=Programs.ViewProgramAngular\u0026amp;id=10174\u0022\u003EApply here!\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Berlin Summer 2025 Application Deadline November 1st"}],"uid":"36662","created_gmt":"2024-10-23 19:15:56","changed_gmt":"2024-10-23 19:30:31","author":"ctatis3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-11-01T00:00:00-04:00","event_time_end":"2024-11-01T23:59:59-04:00","event_time_end_last":"2024-11-01T23:59:59-04:00","gmt_time_start":"2024-11-01 04:00:00","gmt_time_end":"2024-11-02 03:59:59","gmt_time_end_last":"2024-11-02 03:59:59","rrule":null,"timezone":"America\/New_York"},"extras":[],"related_files":{"259036":{"fid":"259036","name":"Berlin 2025 Flyer","file_path":"\/sites\/default\/files\/documents\/2024-10\/Berlin%202025%20Flyer.pdf","file_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/documents\/2024-10\/Berlin%202025%20Flyer.pdf","mime":"application\/pdf","description":"Berlin 2025 flyer 1 pager"}},"related_links":[{"url":"https:\/\/atlas.gatech.edu\/index.cfm?FuseAction=Programs.ViewProgramAngular\u0026id=10174","title":"Berlin Atlas Page"},{"url":"https:\/\/www.cc.gatech.edu\/berlin","title":"CoC Berlin Summer Program"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"id":"660383","name":"College of Computing International Programs"}],"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\u003Eberlin@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"676639":{"#nid":"676639","#data":{"type":"event","title":"School of CSE Seminar Series: Boqing Gong","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Boqing Gong, assistant professor at Boston University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;Nobember 8, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Bo Dai\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EFrom Domain Adaptation to VideoPrism: A Decade-Long Quest for Out-of-Domain Visual Generalization\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E: This talk explores the challenges of out-of-domain (OOD) generalization in computer vision, encompassing tasks like domain adaptation, webly-supervised learning, and long-tailed recognition. I will review some principles and techniques underlying the seemingly diverse tasks and then connect them to the recent development of generalist vision systems, showcasing VideoPrism --- a state-of-the-art generalist video encoding model --- and ongoing research into image and video generation models.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E: Boqing Gong is a computer science faculty member at Boston University and a part-time research scientist at Google DeepMind. His research focuses on AI models\u0027 generalization and efficiency and the visual analytics of objects, scenes, human activities, and their interactions.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Boqing Gong, assistant professor at Boston University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;Nobember 8, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Bo Dai\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EFrom Domain Adaptation to VideoPrism: A Decade-Long Quest for Out-of-Domain Visual Generalization\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Boston University Assistant Professor Boqing Gong"}],"uid":"36319","created_gmt":"2024-09-09 15:34:27","changed_gmt":"2024-10-21 13:23:49","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-11-08T14:00:00-05:00","event_time_end":"2024-11-08T15:00:00-05:00","event_time_end_last":"2024-11-08T15:00:00-05:00","gmt_time_start":"2024-11-08 19:00:00","gmt_time_end":"2024-11-08 20:00:00","gmt_time_end_last":"2024-11-08 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":[],"hg_media":{"674892":{"id":"674892","type":"image","title":"Boqing Gong.jpg","body":null,"created":"1725896147","gmt_created":"2024-09-09 15:35:47","changed":"1725896147","gmt_changed":"2024-09-09 15:35:47","alt":"CSE Seminar Series","file":{"fid":"258458","name":"Boqing Gong.jpg","image_path":"\/sites\/default\/files\/2024\/09\/09\/Boqing%20Gong.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/09\/09\/Boqing%20Gong.jpg","mime":"image\/jpeg","size":54482,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/09\/09\/Boqing%20Gong.jpg?itok=3OV3DvRr"}}},"media_ids":["674892"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBo Dai (bodai@cc.gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"677740":{"#nid":"677740","#data":{"type":"event","title":"School of Interactive Computing Summit on AI, Responsible Computing, and Society","body":[{"value":"\u003Cp\u003EThe Summit on Responsible Computing, AI, and Society aims to explore the future of computing for health, sustainability, human-centered AI, and policy.\u003C\/p\u003E\u003Cp\u003EThe summit will bring together luminary researchers in computing for health, sustainability, human-centered AI, and tech policy to lay out the frontiers of these critical fields, and to plot out how they must evolve. The Summit will take place at the \u003Ca href=\u0022https:\/\/pe.gatech.edu\/global-learning-center\u0022\u003EGeorgia Tech Global Learning Center\u003C\/a\u003E in Midtown Atlanta, Georgia. It is connected to the Georgia Tech Hotel and minutes from the School of Interactive Computing and the GT Machine Learning Center.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe summit will bring together luminary researchers in computing for health, sustainability, human-centered AI, and tech policy to lay out the frontiers of these critical fields, and to plot out how they must evolve. The Summit will take place at the \u003Ca href=\u0022https:\/\/pe.gatech.edu\/global-learning-center\u0022\u003EGeorgia Tech Global Learning Center\u003C\/a\u003E in Midtown Atlanta, Georgia. It is connected to the Georgia Tech Hotel and minutes from the School of Interactive Computing and the GT Machine Learning Center.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The Summit on Responsible Computing, AI, and Society aims to explore the future of computing for health, sustainability, human-centered AI, and policy."}],"uid":"36530","created_gmt":"2024-10-18 18:54:03","changed_gmt":"2024-10-18 19:00:02","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-10-28T00:00:00-04:00","event_time_end":"2024-10-30T23:59:59-04:00","event_time_end_last":"2024-10-30T23:59:59-04:00","gmt_time_start":"2024-10-28 04:00:00","gmt_time_end":"2024-10-31 03:59:59","gmt_time_end_last":"2024-10-31 03:59:59","rrule":null,"timezone":"America\/New_York"},"location":"Georgia Tech Global Learning Center","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"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":""}},"677736":{"#nid":"677736","#data":{"type":"event","title":"HotCSE Seminar: Conlain Kelly","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE Ph.D. Candidate Conlain Kelly\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, Oct. 30, 2024, at 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ELunch provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EEmbedding Thermodynamics into Neural Operators for Variable-Coefficient PDEs\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003EWe propose a new class of data-driven models which predict local deformations over heterogeneous material microstructures. This problem -- termed the localization problem -- is a core component of numerous open challenges in multiscale materials design. The inherent stochasticity of manufacturing means that conducting forward (process -\u0026gt; property) or inverse (property -\u0026gt; process) uncertainty quantification requires solving a variable-coefficient PDE repeatedly for many microstructure instantiations. Moreover, the discontinuity and disorder of the PDE coefficients leads to a high-dimensional, poorly-conditioned system of equations. Our work combines traditional numerical solvers and data-driven methods to construct a hybrid approximation for the coefficient-to-solution map. In particular, we utilize the Lippmann-Schwinger formulation of localization to guide the design of a thermodynamically-informed implicit (Deep Equilibrium) neural operator. Applied to both two-phase composites and polycrystalline materials, our methodology shows improved accuracy and stability\u0026nbsp;compared to existing machine learning methods. Finally, we find that embedding thermodynamic encodings into the architecture provides improved data efficiency and generalizability.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Conlain completed their undergraduate studies at the University of Wisconsin \u2014 Madison, pursuing a double major in Applied Math, Engineering, \u0026amp; Physics and Computer Science. They are currently a Ph.D. candidate in Computational Science and Engineering at Georgia Tech. Their research focuses on hybrid physics-centric data-driven models for statistical continuum mechanics and materials design. More broadly, they are interested in the intersection of deep learning and traditional numerical methods, as well as decision-making under uncertainty.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EAbout HotCSE\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003EHotCSE is an academic seminar series to bring Ph.D. students in Computational Science and Engineering together to discuss interesting topics. The topics consist of high-performance computing, machine learning, data analysis, simulation, computational sustainability, medical informatics, etc.\u003C\/p\u003E\u003Cp\u003EThe talks have always been enjoyable and have ranged from quite informal to formal conference style talks. Either chalks or slides can be used to help people understand your talk. It is also a great forum to practice conference talks and bounce around new ideas.\u003C\/p\u003E\u003Cp\u003ECurrently the talks are sponsored by the School of Computational Science and Engineering. The goal of CSE is slightly broader than that of these talks - we want to bring more people outside CSE to discuss their related work here.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE Ph.D. Candidate Conlain Kelly\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, Oct. 30, 2024, at 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EEmbedding Thermodynamics into Neural Operators for Variable-Coefficient PDEs\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Embedding Thermodynamics into Neural Operators for Variable-Coefficient PDEs"}],"uid":"36319","created_gmt":"2024-10-18 17:55:18","changed_gmt":"2024-10-18 17:59:47","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-10-30T12:00:00-04:00","event_time_end":"2024-10-30T13:00:00-04:00","event_time_end_last":"2024-10-30T13:00:00-04:00","gmt_time_start":"2024-10-30 16:00:00","gmt_time_end":"2024-10-30 17:00:00","gmt_time_end_last":"2024-10-30 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":["free_food"],"hg_media":{"675364":{"id":"675364","type":"image","title":"9 Final Headshot.JPG","body":null,"created":"1729274357","gmt_created":"2024-10-18 17:59:17","changed":"1729274357","gmt_changed":"2024-10-18 17:59:17","alt":"Conlain Kelly","file":{"fid":"258977","name":"9 Final Headshot.JPG","image_path":"\/sites\/default\/files\/2024\/10\/18\/9%20Final%20Headshot.JPG","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/10\/18\/9%20Final%20Headshot.JPG","mime":"image\/jpeg","size":1320273,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/10\/18\/9%20Final%20Headshot.JPG?itok=UNzryXWa"}}},"media_ids":["675364"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ECSE Graduate Student Association\u003C\/p\u003E\u003Cp\u003Ecse-gsa@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"676554":{"#nid":"676554","#data":{"type":"event","title":"School of CSE Seminar Series: Aydin Buluc","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Aydin Buluc, senior scientist at Lawrence Berkeley National Laboratory and adjunct assistant professor at the University of California, Berkeley\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;October 18, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Helen Xu\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003ESupercomputing Scale Graph Neural Network Training\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Graph neural networks (GNNs) have demonstrated unprecedented success in numerous challenging scientific problems such as weather prediction, material design, and protein structure prediction. However, training a large-scale GNN is both memory intensive and computationally expensive. Consequently, solving grand challenge scientific problems require supercomputing scale GNN training capabilities. My talk will focus on distributed-memory parallel algorithms for GNN training. We will start by describing how to map full-batch GNN training to communication-avoiding sparse matrix operations. We will then focus on utilizing sparse matrix primitives to parallelize mini-batch GNN training based on node-wise and layer-wise sampling. Finally, we will illustrate techniques that are based on sparsity-aware sparse matrix multiplication algorithms to accelerate both full-graph and mini-batch sampling based GNN training.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Ayd\u0131n Bulu\u00e7 is a Senior Scientist at the Applied Math and Computational Research Division of the Lawrence Berkeley National Laboratory (LBNL) and an Adjunct Faculty at EECS department of UC Berkeley. His research interests include parallel computing, combinatorial scientific computing, high performance graph analysis and machine learning, sparse linear algebra, and computational genomics. He received his Ph.D. in Computer Science from the University of California, Santa Barbara in 2010. After that, he was a Luis W. Alvarez postdoctoral fellow at LBNL. Dr. Bulu\u00e7 is a recipient of the DOE Early Career Award in 2013 and the IEEE TCSC Award for Excellence for Early Career Researchers in 2015. He recently led a team that was chosen as a finalist for the 2022 ACM Gordon Bell Prize. He was a founding associate editor of the ACM Transactions on Parallel Computing. He is currently directing a DOE Mathematical Multifaceted Integrated Capabilities Center named Sparsitute.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Aydin Buluc, senior scientist at Lawrence Berkeley National Laboratory and adjunct assistant professor at the University of California, Berkeley\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;October 18, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Helen Xu\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003ESupercomputing Scale Graph Neural Network Training\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Aydin Buluc, senior scientist at Lawrence Berkeley National Laboratory"}],"uid":"36319","created_gmt":"2024-09-05 18:30:14","changed_gmt":"2024-10-14 19:12:43","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-10-18T14:00:00-04:00","event_time_end":"2024-10-18T15:00:00-04:00","event_time_end_last":"2024-10-18T15:00:00-04:00","gmt_time_start":"2024-10-18 18:00:00","gmt_time_end":"2024-10-18 19:00:00","gmt_time_end_last":"2024-10-18 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":["free_food"],"hg_media":{"674842":{"id":"674842","type":"image","title":"Aydn Buluc.jpg","body":null,"created":"1725561062","gmt_created":"2024-09-05 18:31:02","changed":"1725561062","gmt_changed":"2024-09-05 18:31:02","alt":"CSE Seminar Series","file":{"fid":"258406","name":"Aydn Buluc.jpg","image_path":"\/sites\/default\/files\/2024\/09\/05\/Aydn%20Buluc.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/09\/05\/Aydn%20Buluc.jpg","mime":"image\/jpeg","size":19642,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/09\/05\/Aydn%20Buluc.jpg?itok=sTAc6AX-"}}},"media_ids":["674842"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EHelen Xu (hxu615@gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"677365":{"#nid":"677365","#data":{"type":"event","title":"Hike at Sweetwater Creek State Park Hosted by CSE GSA","body":[{"value":"\u003Cp\u003ECSE Graduate Student Association hosts a group hike at Sweetwater Creek State Park on October 19th (rain day is October 20th). Participation requires RSVP to accomodate large groups.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/forms.office.com\/r\/EjSUbkET74\u0022\u003E\u003Cstrong\u003Esign up and details\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003EFor more about CSE GSE, check out: \u003Ca href=\u0022https:\/\/cse.gatech.edu\/cse-graduate-student-association\u0022\u003E\u003Cstrong\u003Ehttps:\/\/cse.gatech.edu\/cse-graduate-student-association\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003EThis event is set up differently from past CSE GSA hikes to accommodate\u0026nbsp;increased interest. Three or four small groups meet at CODA and depart at 8:30 am, 10:00 am, 11:30 am, and\/or 1:00 pm. These small groups will be assigned so that each group has students who can provide transportation to those who need it. Each group will also be assigned a group leader to select and lead the hike.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EPlease provide accurate preferences for meeting times and cancel your RSVP if necessary so we can accommodate as many students as possible without last-minute cancellations. The sign-up is available \u003Ca href=\u0022https:\/\/forms.office.com\/r\/EjSUbkET74\u0022 id=\u0022LPlnk170637\u0022 title=\u0022https:\/\/forms.office.com\/r\/EjSUbkET74\u0022\u003Ehere\u003C\/a\u003E\u0026nbsp;until 11:59 am on October 16th. CODA meetup times will be sent in the afternoon or evening of October 16th. Priority will be given in the order responses are received.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ECSE Graduate Student Association hosts a group hike at Sweetwater Creek State Park\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"CSE Graduate Student Association hosts a group hike at Sweetwater Creek State Park"}],"uid":"36319","created_gmt":"2024-10-08 13:16:43","changed_gmt":"2024-10-08 13:24:15","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-10-19T08:30:00-04:00","event_time_end":"2024-10-19T14:30:00-04:00","event_time_end_last":"2024-10-19T14:30:00-04:00","gmt_time_start":"2024-10-19 12:30:00","gmt_time_end":"2024-10-19 18:30:00","gmt_time_end_last":"2024-10-19 18:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Sweetwater Creek State Park","extras":[],"hg_media":{"675240":{"id":"675240","type":"image","title":"cse-hike-1019.png","body":null,"created":"1728393768","gmt_created":"2024-10-08 13:22:48","changed":"1728393768","gmt_changed":"2024-10-08 13:22:48","alt":"CSE Hike","file":{"fid":"258842","name":"cse-hike-1019.png","image_path":"\/sites\/default\/files\/2024\/10\/08\/cse-hike-1019.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/10\/08\/cse-hike-1019.png","mime":"image\/png","size":5653410,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/10\/08\/cse-hike-1019.png?itok=_cLvBHUt"}}},"media_ids":["675240"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1793","name":"Sports\/Athletics"},{"id":"1791","name":"Student sponsored"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:cse-gsa@cc.gatech.edu\u0022\u003E\u003Cstrong\u003Ecse-gsa@cc.gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"676553":{"#nid":"676553","#data":{"type":"event","title":"School of CSE Seminar Series: Luis Chacon","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Luis Chac\u00f3n, senior scientist at Los Alamos National Laboratory\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;October 11, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Qi Tang\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EImplicit HPC Algorithms for Multiscale Simulation of Fusion Plasmas\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E The high-fidelity simulation of fusion plasmas is remarkably challenging due to scale disparity, nonlinearity, and model complexity. In general, fusion plasma models are stiff hyperbolic systems, potentially high dimensional (6D + time, due to the lack of thermal equilibrium), and inherently multiphysics and multiscale, with temporal and spatial scale separations of 7-10 orders of magnitude. Implicit methods hold promise to bridge the temporal gaps while enforcing both structure (e.g., conservation properties) and asymptotic consistency, but demand effective preconditioning and a scalable implementation in large HPC applications. In this talk, we will describe our progress in developing effective preconditioners for fluid (magnetohydrodynamics), collisionless kinetic (particle-based Vlasov), and collisional hybrid fluid-kinetic models, with emphasis on parallel scalability and suitability for heterogeneous computing, and applications to fusion systems.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Dr. Luis Chac\u00f3n\u0026nbsp;is a 2021 Ernest O. Lawrence Laureate, a Fellow of the American Physical Society since 2020, and a Senior Scientist in the Theoretical Division at LANL since 2012. Dr. Chac\u00f3n received an MS degree in Industrial Engineering from the Polytechnic University of Madrid (UPM) in 1994, MS and PhD degrees in Nuclear Engineering from the University of Illinois at Urbana-Champaign in 1998 and 2000, respectively. He joined the Theoretical Division at LANL as a Director\u2019s Postdoctoral Fellow in 2000, becoming a Staff Member in 2002. Dr. Chac\u00f3n later joined the Fusion Energy Division at Oak Ridge National Laboratory in 2008, returning to LANL in 2012. His research focuses on multiscale algorithm development for fluid and kinetic modeling of plasmas, with applications to basic plasmas, inertial confinement fusion, and magnetic fusion, resulting in 134 publications that have been cited over 5000 times. Dr. Chac\u00f3n has been an Associate and Executive Editor in the Journal of Computational Physics from 2013-2022 and 2015-2021, respectively, and several times Guest Editor in the SIAM Journal of Scientific Computing since 2016. Dr. Chac\u00f3n has organized numerous conferences and workshops, including the International Sherwood Fusion Theory Conference (Chair, 2011-12), the Copper Mountain Meeting on Iterative Methods (Scientific Committee member since 2016), the Kinetic Effects in Inertial Confinement Fusion Workshop (co-Chair, 2018), the International Conference of Numerical Simulation of Plasmas (Chair, 2019), and the Joint Institute for Fusion Theory US-Japan Workshop on Multiscale Simulation of Plasmas (US co-Chair, 2019).\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Luis Chac\u00f3n, senior scientist at Los Alamos National Laboratory\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;October 11, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Qi Tang\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EImplicit HPC Algorithms for Multiscale Simulation of Fusion Plasmas\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Luis Chacon, senior scientist at Los Alamos National Laboratory"}],"uid":"36319","created_gmt":"2024-09-05 18:23:26","changed_gmt":"2024-10-04 13:12:50","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-10-11T14:00:00-04:00","event_time_end":"2024-10-11T15:00:00-04:00","event_time_end_last":"2024-10-11T15:00:00-04:00","gmt_time_start":"2024-10-11 18:00:00","gmt_time_end":"2024-10-11 19:00:00","gmt_time_end_last":"2024-10-11 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":[],"hg_media":{"674841":{"id":"674841","type":"image","title":"Luis Chacon.jpg","body":null,"created":"1725560670","gmt_created":"2024-09-05 18:24:30","changed":"1725560670","gmt_changed":"2024-09-05 18:24:30","alt":"CSE Seminar Series","file":{"fid":"258405","name":"Luis Chacon.jpg","image_path":"\/sites\/default\/files\/2024\/09\/05\/Luis%20Chacon.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/09\/05\/Luis%20Chacon.jpg","mime":"image\/jpeg","size":33631,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/09\/05\/Luis%20Chacon.jpg?itok=B54HRBTE"}}},"media_ids":["674841"],"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":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EQi Tang (qtang@gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"676551":{"#nid":"676551","#data":{"type":"event","title":"School of CSE Seminar Series: Jingwei Hu","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Jingwei Hu, associate professor at the University of Washington\u0026nbsp;\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;October 4, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;TBD\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Florian Sch\u00e4fer\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EStructure-Preserving Dynamical Low-Rank Methods for Kinetic Equations of Plasmas\u0026nbsp;\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Dynamical low-rank methods have gained interest in recent years as a viable solution to the curse of dimensionality in the numerical solution of kinetic equations. Depending on the regime and nature of the solution, a direct application of these methods often results in high ranks or comes at the cost of losing physical properties such as conservation. Using the Vlasov-Fokker- Planck equation as a model problem, which is the governing equation for plasma dynamics, we demonstrate that when tuned to the problem\u2019s structure, the dynamical low-rank method can provide an efficient and robust approximation compared to the full tensor method. This talk is based on the joint work with Jack Coughlin and Uri Shumlak.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Jingwei Hu is a Professor in the Department of Applied Mathematics at the University of Washington. She also holds an adjunct professorship in the William E. Boeing Department of Aeronautics \u0026amp; Astronautics. Dr. Hu earned her Ph.D. from the University of Wisconsin-Madison in 2011 and was a postdoctoral fellow at the University of Texas at Austin from 2011 to 2014. Prior to joining UW in 2021, she held positions as an Assistant and later as an Associate Professor at Purdue University. Her primary research interests focus on numerical analysis and scientific computing, particularly the development of efficient and structure-preserving numerical methods for multiscale kinetic equations across various science and engineering applications. Dr. Hu received the NSF CAREER award in 2017 and was a plenary speaker at the Canadian Applied and Industrial Mathematics Society (CAIMS) Annual Meeting in 2022. 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Computing\u2014\u003Cstrong\u003ESCS, SCP, CSE, IC\u003C\/strong\u003E\u2014are teaming up to bring a\u0026nbsp;\u003Cstrong\u003ECollege-wide Graduate Welcome Event\u003C\/strong\u003E\u0026nbsp;like never before!\u003Cbr\u003EWhether you\u0027re a new or returning graduate student, we invite you to an evening full of fun, with\u0026nbsp;\u003Cstrong\u003Egreat food, vibes, and friends (faculty too!)\u003C\/strong\u003E\u003C\/p\u003E\u003Cul type=\u0022disc\u0022\u003E\u003Cli\u003EFinger-lickin\u0027 food (because who doesn\u2019t love free food?)\u003C\/li\u003E\u003Cli\u003EFriends and faculty\u2014perfect for connecting with friends!\u003C\/li\u003E\u003Cli\u003EMini-games and swag\u2014ready to win some awesome prizes?\u003C\/li\u003E\u003Cli\u003ESurprise appearances by Buzz and the beloved \u2018Reck\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EWe\u2019ve got all the ingredients for an unforgettable evening, and we want YOU to be a part of it!\u003C\/p\u003E\u003Cp\u003E\u003Cbr\u003E\ufe0f\u003Ca href=\u0022https:\/\/gatech.universitytickets.com\/w\/event.aspx?id=2085\u0026amp;p=1\u0022 title=\u0022https:\/\/gatech.universitytickets.com\/w\/event.aspx?id=2085\u0026amp;p=1\u0022\u003E\u003Cstrong\u003ERSVP NOW to secure your free tickets\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E\u0026nbsp;\u2014spots are going fast, and you don\u0027t want to miss out! Grab yours before they\u0027re gone! Once you login to secure your tickets, you may have to refresh so the event loads properly.\u003C\/strong\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJoin fellow graduate students, faculty, and staff for: fun-filled games, exclusive swag, and delicious food. Come and enjoy a relaxed evening with us. Whether you\u0027re returning or just starting, we\u0027re thrilled to welcome you!\u003C\/p\u003E\u003Cp\u003EWhen: Sep 24th, 5:30 PM - 7:30 PM (Tuesday)\u003Cbr\u003EWhere:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Tech+Green\/@33.7746156,-84.3999103,17z\/data=!3m1!4b1!4m6!3m5!1s0x88f50489ec1c461b:0x2d7e31c7758e29b3!8m2!3d33.7746156!4d-84.3973354!16s%2Fg%2F1w4vks6x?entry=tts\u0026amp;shorturl=1\u0022 title=\u0022https:\/\/www.google.com\/maps\/place\/Tech+Green\/@33.7746156,-84.3999103,17z\/data=!3m1!4b1!4m6!3m5!1s0x88f50489ec1c461b:0x2d7e31c7758e29b3!8m2!3d33.7746156!4d-84.3973354!16s%2Fg%2F1w4vks6x?entry=tts\u0026amp;shorturl=1\u0022\u003ETech Green\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The College of Computing is hosting a College-wide Graduate Welcome Event on Tuesday, September 24th from 5:30PM - 7:30PM at Tech Green."}],"uid":"35916","created_gmt":"2024-09-20 14:31:30","changed_gmt":"2024-09-20 14:52:32","author":"tbarashango3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-09-24T17:30:00-04:00","event_time_end":"2024-09-24T19:30:00-04:00","event_time_end_last":"2024-09-24T19:30:00-04:00","gmt_time_start":"2024-09-24 21:30:00","gmt_time_end":"2024-09-24 23:30:00","gmt_time_end_last":"2024-09-24 23:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Tech Green","extras":["free_food","freebies"],"hg_media":{"675061":{"id":"675061","type":"image","title":"Graduate_Welcome_Event_Flyer.jpg","body":null,"created":"1726842771","gmt_created":"2024-09-20 14:32:51","changed":"1726842771","gmt_changed":"2024-09-20 14:32:51","alt":"Flyer with date\/time of the event","file":{"fid":"258651","name":"graduate_welcome_event.jpg","image_path":"\/sites\/default\/files\/2024\/09\/20\/graduate_welcome_event.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/09\/20\/graduate_welcome_event.jpg","mime":"image\/jpeg","size":767261,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/09\/20\/graduate_welcome_event.jpg?itok=H2kovHyD"}}},"media_ids":["675061"],"related_links":[{"url":"https:\/\/gatech.universitytickets.com\/w\/event.aspx?id=2085\u0026p=1","title":"RSVP For Free Tickets"}],"groups":[{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[{"id":"178574","name":"Graduate Welcome"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cem\u003Escsgsa-events@cc.gatech.edu\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"676860":{"#nid":"676860","#data":{"type":"event","title":"HotCSE Seminar: Zhixin (Jack) Song","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE Ph.D. Student Zhixin (Jack) Song\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, Sept. 25, 2024, at 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, 11th Floor, Conference Room C1115 Druid Hills (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ELunch provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EScientific Computation on Quantum Computers\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003EQuantum computing has garnered significant attention for its potential to deliver super-polynomial speedups and energy savings. Numerous quantum algorithms have been developed for applications in chemistry, material science, fluid simulation, and other scientific computing tasks. This talk will provide a concise overview of recent advancements in these fields, along with progress in quantum computing hardware. I will also explore the challenges that remain as we work toward achieving utility-scale quantum computing.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Zhixin (Jack) Song is a 4th-year Ph.D. student working with Dr. Spencer Bryngelson. He earned his bachelor\u2019s degree from the Ohio State University in 2019 and has previously interned at Baidu Research and JPMorgan Chase. His current research focuses on quantum algorithms for fluid simulation, solving differential equations, and quantum compiler design.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EAbout HotCSE\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003EHotCSE is an academic seminar series to bring Ph.D. students in Computational Science and Engineering together to discuss interesting topics. The topics consist of high-performance computing, machine learning, data analysis, simulation, computational sustainability, medical informatics, etc.\u003C\/p\u003E\u003Cp\u003EThe talks have always been enjoyable and have ranged from quite informal to formal conference style talks. Either chalks or slides can be used to help people understand your talk. It is also a great forum to practice conference talks and bounce around new ideas.\u003C\/p\u003E\u003Cp\u003ECurrently the talks are sponsored by the School of Computational Science and Engineering. The goal of CSE is slightly broader than that of these talks - we want to bring more people outside CSE to discuss their related work here.\u003C\/p\u003E\u003Cp\u003EAll talks are free and open to the public. Besides,\u0026nbsp;\u003Cstrong\u003ELUNCH\u003C\/strong\u003E\u0026nbsp;is provided!!!\u0026nbsp;Those without CODA building access can meet at the second-floor elevators at 11:50 AM to go up.\u003C\/p\u003E\u003Cp\u003EIf you are interested in participating as a future\u0026nbsp;\u003Ca href=\u0022https:\/\/hotcse.gatech.edu\/\u0022 id=\u0022OWAe48843b7-0823-1939-a3bc-3b294ef3d70f\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/hotcse.gatech.edu\/\u0022\u003EHotCSE\u003C\/a\u003E\u0026nbsp;speaker, please fill in\u0026nbsp;\u003Ca href=\u0022https:\/\/forms.gle\/Cmyt4iRJ7EjnwX9i8\u0022 id=\u0022OWA49f60b7e-fe04-753f-726b-63db09c9acc5\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/forms.gle\/Cmyt4iRJ7EjnwX9i8\u0022\u003Ethis form\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003EIf you are interested in helping with HotCSE or other GSA-organized events, please fill in\u0026nbsp;\u003Ca href=\u0022https:\/\/forms.gle\/nGXcVqtYMt3BCWaJ7\u0022 title=\u0022https:\/\/forms.gle\/nGXcVqtYMt3BCWaJ7\u0022\u003Ethis form\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE Ph.D. Student Zhixin (Jack) Song\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, Sept. 25, 2024, at 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, 11th Floor, Conference Room C1115 Druid Hills (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EScientific Computation on Quantum Computers\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Scientific Computation on Quantum Computers"}],"uid":"36319","created_gmt":"2024-09-17 14:15:32","changed_gmt":"2024-09-17 14:20:21","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-09-25T12:00:00-04:00","event_time_end":"2024-09-25T13:00:00-04:00","event_time_end_last":"2024-09-25T13:00:00-04:00","gmt_time_start":"2024-09-25 16:00:00","gmt_time_end":"2024-09-25 17:00:00","gmt_time_end_last":"2024-09-25 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room C1115","extras":["free_food"],"hg_media":{"674989":{"id":"674989","type":"image","title":"Jack Song.jpg","body":null,"created":"1726582747","gmt_created":"2024-09-17 14:19:07","changed":"1726582747","gmt_changed":"2024-09-17 14:19:07","alt":"CSE Jack Song","file":{"fid":"258567","name":"Jack Song.jpg","image_path":"\/sites\/default\/files\/2024\/09\/17\/Jack%20Song.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/09\/17\/Jack%20Song.jpg","mime":"image\/jpeg","size":133950,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/09\/17\/Jack%20Song.jpg?itok=cAxYzHgW"}}},"media_ids":["674989"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ECSE Graduate Student Association\u003C\/p\u003E\u003Cp\u003Ecse-gsa@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"676549":{"#nid":"676549","#data":{"type":"event","title":"School of CSE Seminar Series: Jingmei Qiu","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Jingmei Qiu, professor at the University of Delaware\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;September 20, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, 9th Floor Atrium\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Florian Sch\u00e4fer\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003ELow Rank Tensor Methods for High Dimensional Time-Dependent PDEs\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E I will provide an overview of low-rank time integrators for time-dependent PDEs, with a particular focus on kinetic models. These integrators include an explicit method involving time-stepping followed by an SVD truncation procedure, applied to the nonlinear Vlasov model; implicit integrators leveraging extended Krylov subspaces for the Fokker-Planck equation; implicit-explicit low-rank integrators for advection-diffusion equations; and a Semi-Lagrangian Adaptive-Rank Method (SLAR) applied to the Vlasov model. A key feature of our algorithm is its significantly reduced computational complexity, which scales linearly with the number of grid points per dimension and polynomially with respect to the rank. Additionally, we develop Locally Macroscopic Conservative (LoMaC) projections to preserve the underlying macroscopic structure of the kinetic system. A wide range of benchmark tests have been conducted to demonstrate the efficiency and effectiveness of the proposed scheme.\u003C\/p\u003E\u003Cp\u003EWe gratefully acknowledge our collaborators: Dr. Luis Chacon (Los Alamos National Lab), Dr. Andrew Christlieb (Michigan State University), Dr. Lukas Einkemmer (University of Innsbruck), Dr. Daniel Hayes (University of Delaware), Dr. Wei Guo (Texas Tech University), Dr. Nakao Joseph (Swarthmore College), Ph.D. student Hamad Kahza (University of Delaware), William Taitano (Los Alamos National Lab), and Dr. Nanyi Zheng (University of Delaware).\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Dr. Jingmei Qiu is a Unidel Professor in the Department of Mathematical Sciences at the University of Delaware. Her research focuses on the design, analysis, and application of high-order structure-preserving computational algorithms for complex systems characterized by multi-scale, multi-physics, and high-dimensional features. Dr. Qiu\u2019s work includes developing low-rank tensor approximations for high-dimensional, time-dependent problems with structure preservation, as well as Eulerian-Lagrangian high-order numerical methods for fluid and kinetic applications. She was awarded the Air Force Young Investigator Award in 2012 and is the lead Principal Investigator of a Multidisciplinary University Research Initiative (MURI) project on Tensor Networks, supported by the Department of Defense from 2024 to 2029.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Jingmei Qiu, professor at the University of Delaware\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;September 20, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, 9th Floor Atrium\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Florian Sch\u00e4fer\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003ELow Rank Tensor Methods for High Dimensional Time-Dependent PDEs\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from University of Delaware Professor Jingmei Qiu"}],"uid":"36319","created_gmt":"2024-09-05 18:07:42","changed_gmt":"2024-09-16 12:48:52","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-09-20T14:00:00-04:00","event_time_end":"2024-09-20T15:00:00-04:00","event_time_end_last":"2024-09-20T15:00:00-04:00","gmt_time_start":"2024-09-20 18:00:00","gmt_time_end":"2024-09-20 19:00:00","gmt_time_end_last":"2024-09-20 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda Building, 9th Floor Atrium","extras":[],"hg_media":{"674836":{"id":"674836","type":"image","title":"Jing Qiu.jpg","body":null,"created":"1725559719","gmt_created":"2024-09-05 18:08:39","changed":"1725559719","gmt_changed":"2024-09-05 18:08:39","alt":"CSE Seminar Series","file":{"fid":"258400","name":"Jing Qiu.jpg","image_path":"\/sites\/default\/files\/2024\/09\/05\/Jing%20Qiu.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/09\/05\/Jing%20Qiu.jpg","mime":"image\/jpeg","size":11455,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/09\/05\/Jing%20Qiu.jpg?itok=Ig5jj8kL"}}},"media_ids":["674836"],"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":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EFlorian Sch\u00e4fer (fts@gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"676548":{"#nid":"676548","#data":{"type":"event","title":"School of CSE Seminar Series: Carl Yang","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Carl Yang, assistant professor at Emory University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;September 13, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Anqi Wu\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EExpediting Next-Generation AI for Health via KG and LLM Co-Learning\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Large language models (LLM) have brought disruptive progress to information technology from accessing data to performing analytical tasks. While demonstrating unprecedented capabilities, LLMs have been found unreliable in tasks requiring factual knowledge and rigorous reasoning, posing critical challenges in domains such as healthcare. Knowledge graphs (KG) have been widely used for explicitly organizing and indexing biomedical knowledge, but the quality and coverage of KG are hard to scale up given the notoriously complex and noisy healthcare data with multiple modalities from multiple institutions. Existing approaches show promises in combining LLMs and KGs to enhance each other, but they do not study the techniques in real healthcare contexts and scenarios. In this talk, I will introduce our research vision and agenda towards KG-LLM co-learning for healthcare, followed by success examples from our recent exploration on LLM-aided KG construction, KG-guided LLM enhancement, and federated multi-agent systems. I will conclude the talk with discussions on future directions that can benefit from further collaborations with researchers interested in data mining or biomedical informatics in general.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Carl Yang is an Assistant Professor of Computer Science at Emory University, jointly appointed at the Department of Biostatistics and Bioinformatics in the Rollins School of Public Health and the Center for Data Science in the Nell Hodgson Woodruff School of Nursing. He received his Ph.D. in Computer Science at University of Illinois, Urbana-Champaign in 2020, and B.Eng. in Computer Science and Engineering at Zhejiang University in 2014. His research interests span graph data mining, applied machine learning, knowledge graphs and federated learning, with applications in recommender systems, social networks, neuroscience and healthcare. Carl\u0027s research results have been published in 150+ peer-reviewed papers in top venues across data mining and biomedical informatics. He is also a recipient of the Dissertation Completion Fellowship of UIUC in 2020, the Best Paper Award of ICDM in 2020, the Best Paper Award of KDD Health Day in 2022, the Best Paper Award of ML4H in 2022, the Amazon Research Award in 2022, the Microsoft Accelerating Foundation Models Research Award in 2023, and multiple Emory internal research awards. Carl\u0027s research receives funding support from both NSF and NIH of USA.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Carl Yang, assistant professor at Emory University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;September 13, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Anqi Wu\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EExpediting Next-Generation AI for Health via KG and LLM Co-Learning\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Emory University Assistant Professor Carl Yang"}],"uid":"36319","created_gmt":"2024-09-05 17:59:47","changed_gmt":"2024-09-10 15:52:08","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-09-13T14:00:00-04:00","event_time_end":"2024-09-13T15:00:00-04:00","event_time_end_last":"2024-09-13T15:00:00-04:00","gmt_time_start":"2024-09-13 18:00:00","gmt_time_end":"2024-09-13 19:00:00","gmt_time_end_last":"2024-09-13 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":[],"hg_media":{"674835":{"id":"674835","type":"image","title":"Carl Yang.png","body":null,"created":"1725559307","gmt_created":"2024-09-05 18:01:47","changed":"1725559307","gmt_changed":"2024-09-05 18:01:47","alt":"CSE Seminar Series","file":{"fid":"258399","name":"Carl Yang.png","image_path":"\/sites\/default\/files\/2024\/09\/05\/Carl%20Yang.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/09\/05\/Carl%20Yang.png","mime":"image\/png","size":195800,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/09\/05\/Carl%20Yang.png?itok=Sv-DuZwp"}}},"media_ids":["674835"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAnqi Wu (anqiwu@gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"676643":{"#nid":"676643","#data":{"type":"event","title":"SCP Special Guest and Keynote Speaker: Mary Ellen Callahan, DHS Assistant Secretary for CWMD Office","body":[{"value":"\u003Cp\u003E11:30 am - 12:10 pm: A keynote speech by A\/S\u003Cstrong\u003E Mary Ellen Callahan\u003C\/strong\u003E. This can be attended virtually through Teams and will be the only portion of the day with a virtual option.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/events.teams.microsoft.com\/event\/bf082094-ce77-4a96-ae0c-d16b64c608d8@482198bb-ae7b-4b25-8b7a-6d7f32faa083\u0022 title=\u0022https:\/\/events.teams.microsoft.com\/event\/bf082094-ce77-4a96-ae0c-d16b64c608d8@482198bb-ae7b-4b25-8b7a-6d7f32faa083\u0022\u003Ehttps:\/\/events.teams.microsoft.com\/event\/bf082094-ce77-4a96-ae0c-d16b64c608d8@482198bb-ae7b-4b25-8b7a-6d7f32faa083\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E12:10 - 12:45 pm: A moderated panel discussion with A\/S \u003Cstrong\u003EMary Ellen Callahan\u003C\/strong\u003E, SCP J.Z. Liang Chair \u003Cstrong\u003EPeter Swire\u003C\/strong\u003E, and \u003Cstrong\u003EJerry Perullo\u003C\/strong\u003E, SCP professor of practice and former CISO of International Continental Exchange as well as the New York Stock Exchange. The panel will be moderated by former DHS Deputy Secretary and SCP professor of the practice, \u003Cstrong\u003EJohn Tien\u003C\/strong\u003E.\u003C\/p\u003E\u003Cp\u003E1:00 - 2:00 pm: Fireside chat with former DHS DepSec \u003Cstrong\u003EJohn Tien\u003C\/strong\u003E.\u0026nbsp;Box lunch will be provided for attending faculty, students, and staff.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThis event is open to all interested faculty, staff, and students. Seating will be first come, first served.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe School of Cybersecurity and Privacy is excited to welcome Mary Ellen Callahan, the Assistant Secretary for the DHS Countering Weapons of Mass Destruction (CWMD) Office, who will give a speech in the Coda Building on Sept. 24 at 11:30 a.m.\u003C\/p\u003E\u003Cp\u003EThis event is open to all interested faculty, staff, and students. Seating will be first come, first served. Virtual attendance is available for the 11:30 a.m. speech only.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The School of Cybersecurity and Privacy is excited to welcome Mary Ellen Callahan, the Assistant Secretary for the DHS Countering Weapons of Mass Destruction (CWMD) Office, who will give a speech in the Coda Building on Sept. 24 at 11:30 a.m."}],"uid":"36253","created_gmt":"2024-09-09 16:55:38","changed_gmt":"2024-09-09 17:11:40","author":"John Popham","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-09-24T11:30:00-04:00","event_time_end":"2024-09-24T14:00:00-04:00","event_time_end_last":"2024-09-24T14:00:00-04:00","gmt_time_start":"2024-09-24 15:30:00","gmt_time_end":"2024-09-24 18:00:00","gmt_time_end_last":"2024-09-24 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda Building, 9th Floor Atrium","extras":["free_food"],"hg_media":{"674898":{"id":"674898","type":"image","title":"callahan_visit_Mercury_image.jpg","body":null,"created":"1725901248","gmt_created":"2024-09-09 17:00:48","changed":"1725901248","gmt_changed":"2024-09-09 17:00:48","alt":"A\/S Callahan Speaking Schedule","file":{"fid":"258463","name":"callahan_visit_Mercury_image.jpg","image_path":"\/sites\/default\/files\/2024\/09\/09\/callahan_visit_Mercury_image.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/09\/09\/callahan_visit_Mercury_image.jpg","mime":"image\/jpeg","size":4916580,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/09\/09\/callahan_visit_Mercury_image.jpg?itok=e1x20_nC"}}},"media_ids":["674898"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"660373","name":"School of Cybersecurity \u0026 Privacy (Do not use)"},{"id":"660367","name":"School of Cybersecurity and Privacy"}],"categories":[],"keywords":[{"id":"191634","name":"school of cybersecurity and privacy"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1789","name":"Conference\/Symposium"},{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ESchool of Cybersecurity and Privacy\u003C\/p\u003E\u003Cp\u003EEmail:\u003Ca\u003Escp@\u003C\/a\u003E\u003Ca target=\u0022_blank\u0022\u003Ecc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"676573":{"#nid":"676573","#data":{"type":"event","title":"GT Computing Presents Self-Care Thursday","body":[{"value":"\u003Cp\u003EThe College of Computing\u0027s Office of Community and Student Engagement hosts Self-Care Thursday on Sept. 12 from 11 a.m. to 2 p.m. Massages, bowling, pool, and pizza will be available.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe College of Computing\u0027s Office of Community and Student Engagement is hosting Self-Care Thursday.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The College of Computing is hosting Self-Care Thursday On Sept. 12."}],"uid":"32045","created_gmt":"2024-09-06 00:31:20","changed_gmt":"2024-09-06 00:32:36","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-09-12T11:00:00-04:00","event_time_end":"2024-09-12T14:00:00-04:00","event_time_end_last":"2024-09-12T14:00:00-04:00","gmt_time_start":"2024-09-12 15:00:00","gmt_time_end":"2024-09-12 18:00:00","gmt_time_end_last":"2024-09-12 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Tech Rec","extras":["free_food"],"hg_media":{"674852":{"id":"674852","type":"image","title":"SELF CARE THURSDAY[42].jpg","body":null,"created":"1725582689","gmt_created":"2024-09-06 00:31:29","changed":"1725582689","gmt_changed":"2024-09-06 00:31:29","alt":"GT Computing Self-Care Thursday Flyer","file":{"fid":"258416","name":"SELF CARE THURSDAY[42].jpg","image_path":"\/sites\/default\/files\/2024\/09\/05\/SELF%20CARE%20THURSDAY%5B42%5D.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/09\/05\/SELF%20CARE%20THURSDAY%5B42%5D.jpg","mime":"image\/jpeg","size":77659,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/09\/05\/SELF%20CARE%20THURSDAY%5B42%5D.jpg?itok=RfJlOad9"}}},"media_ids":["674852"],"groups":[{"id":"47223","name":"College of 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":""}},"676572":{"#nid":"676572","#data":{"type":"event","title":"Time Management: Master Your Time, Maximize Your Potential","body":[{"value":"\u003Cp\u003EThe College of Computing\u0027s Office of Community and Student Engagement is hosting a time management presentation for students on Sept. 10 at 11 a.m. in the College of Computing Building, room 017. Pizza will be provided for attendees.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe College of Computing is hosting a time management presentation for students on Sept. 10 at 11 a.m.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The College of Computing is hosting a time management presentation for students."}],"uid":"32045","created_gmt":"2024-09-06 00:11:59","changed_gmt":"2024-09-06 00:24:27","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-09-10T11:00:00-04:00","event_time_end":"2024-09-10T12:00:00-04:00","event_time_end_last":"2024-09-10T12:00:00-04:00","gmt_time_start":"2024-09-10 15:00:00","gmt_time_end":"2024-09-10 16:00:00","gmt_time_end_last":"2024-09-10 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"College of Computing Bldg. (CCB) Room 017","extras":["free_food"],"hg_media":{"674851":{"id":"674851","type":"image","title":"TIME MANAGEMENT PRESENTATION[59].jpg","body":null,"created":"1725581829","gmt_created":"2024-09-06 00:17:09","changed":"1725581829","gmt_changed":"2024-09-06 00:17:09","alt":"GT Computing Time Management","file":{"fid":"258415","name":"TIME MANAGEMENT PRESENTATION[59].jpg","image_path":"\/sites\/default\/files\/2024\/09\/05\/TIME%20MANAGEMENT%20PRESENTATION%5B59%5D.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/09\/05\/TIME%20MANAGEMENT%20PRESENTATION%5B59%5D.jpg","mime":"image\/jpeg","size":127492,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/09\/05\/TIME%20MANAGEMENT%20PRESENTATION%5B59%5D.jpg?itok=TSmfGh3C"}}},"media_ids":["674851"],"groups":[{"id":"47223","name":"College of 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":""}},"676488":{"#nid":"676488","#data":{"type":"event","title":"School of CSE Seminar Series: Fernando Chirigati","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Fernando Chirigati, chief editor at Nature Computational Science\u0026nbsp;\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;September 6, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Elizabeth Qian\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EPublishing at Nature Computational Science \u2013 Why and How\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Nature Computational Science is a scientific journal from the Nature Portfolio family \u2013 launched in January 2021 \u2013 that publishes fundamental and applied research related to computational methods, algorithms, and tools developed across various scientific disciplines to help solve challenging, real-world problems. In this talk, I will provide more information about the scope and the editorial process of the journal, as well as some suggestions on how to get published with us.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Fernando Chirigati is the chief editor at Nature Computational Science. Before joining the Nature Portfolio family, he was a Postdoctoral Research Associate at New York University, working mainly on the area of scientific data management, including provenance management and analytics, large-scale data analytics, data mining, computational reproducibility, and data visualization.\u0026nbsp;He has a Ph.D. in Computer Science from New York University, and a Bachelor of Engineering in Computer and Information Engineering from the Federal University of Rio de Janeiro, Brazil.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Fernando Chirigati, chief editor at Nature Computational Science\u0026nbsp;\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;September 6, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Elizabeth Qian\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EPublishing at Nature Computational Science \u2013 Why and How\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Fernando Chirigati, chief editor at Nature Computational Science "}],"uid":"36319","created_gmt":"2024-09-03 18:10:27","changed_gmt":"2024-09-03 18:14:36","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-09-06T14:00:00-04:00","event_time_end":"2024-09-06T15:00:00-04:00","event_time_end_last":"2024-09-06T15:00:00-04:00","gmt_time_start":"2024-09-06 18:00:00","gmt_time_end":"2024-09-06 19:00:00","gmt_time_end_last":"2024-09-06 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":["free_food"],"hg_media":{"674801":{"id":"674801","type":"image","title":"Chirigati.jpeg","body":null,"created":"1725387169","gmt_created":"2024-09-03 18:12:49","changed":"1725387169","gmt_changed":"2024-09-03 18:12:49","alt":"CSE Seminar Series","file":{"fid":"258364","name":"Chirigati.jpeg","image_path":"\/sites\/default\/files\/2024\/09\/03\/Chirigati.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/09\/03\/Chirigati.jpeg","mime":"image\/jpeg","size":9586,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/09\/03\/Chirigati.jpeg?itok=QTXhwJh0"}}},"media_ids":["674801"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EElizabeth Qian (eqian@gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"676432":{"#nid":"676432","#data":{"type":"event","title":"Hike at Sweetwater Creek State Park Hosted by CSE GSA","body":[{"value":"\u003Cp\u003ECSE Graduate Student Association hosts a group hike at Sweetwater Creek State Park on September 14th (rain day is September 15h). Group will meet at the visitor center at 9:30 a.m.\u003Cbr\u003E\u003Cbr\u003E\u003Ca href=\u0022https:\/\/forms.office.com\/pages\/responsepage.aspx?id=u5ghSHuuJUuLem1_MvqggyOA3c9KiTZOoy2Cpqbtgu5UMTRJUVpDS1kwQkpSVVZNQzJGMDMxUUtRRi4u\u0026amp;route=shorturl\u0022\u003E\u003Cstrong\u003Esign up and details\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003EFor more about CSE GSE, check out: \u003Ca href=\u0022https:\/\/cse.gatech.edu\/cse-graduate-student-association\u0022\u003E\u003Cstrong\u003Ehttps:\/\/cse.gatech.edu\/cse-graduate-student-association\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ECSE Graduate Student Association hosts a group hike at Sweetwater Creek State Park\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"CSE Graduate Student Association hosts a group hike at Sweetwater Creek State Park"}],"uid":"36319","created_gmt":"2024-08-30 19:19:03","changed_gmt":"2024-08-30 19:25:04","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-09-14T09:30:00-04:00","event_time_end":"2024-09-14T11:30:00-04:00","event_time_end_last":"2024-09-14T11:30:00-04:00","gmt_time_start":"2024-09-14 13:30:00","gmt_time_end":"2024-09-14 15:30:00","gmt_time_end_last":"2024-09-14 15:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Sweetwater Creek State Park","extras":[],"hg_media":{"674791":{"id":"674791","type":"image","title":"sweetwater creek.jpg","body":null,"created":"1725045770","gmt_created":"2024-08-30 19:22:50","changed":"1725045770","gmt_changed":"2024-08-30 19:22:50","alt":"Sweetwater Creek State Park","file":{"fid":"258353","name":"sweetwater creek.jpg","image_path":"\/sites\/default\/files\/2024\/08\/30\/sweetwater%20creek.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/08\/30\/sweetwater%20creek.jpg","mime":"image\/jpeg","size":1109710,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/08\/30\/sweetwater%20creek.jpg?itok=N7Ak8QqS"}}},"media_ids":["674791"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"172288","name":"School of Computational Science Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1793","name":"Sports\/Athletics"},{"id":"1791","name":"Student sponsored"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:cse-gsa@cc.gatech.edu\u0022\u003E\u003Cstrong\u003Ecse-gsa@cc.gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"676431":{"#nid":"676431","#data":{"type":"event","title":"CSE GSA Hosts Bowling Night at Tech Rec","body":[{"value":"\u003Cp\u003EThe CSE Graduate Student Association welcomes students for bowling and pizza at Tech Rec\u003C\/p\u003E\u003Cp\u003EFriday, Sept. 6\u0026nbsp;\u003Cbr\u003E6:00 - 8:00 p.m.\u003Cbr\u003ETech Rec\u003Cbr\u003EJohn Lewis Student Center\u003Cbr\u003EPizza to be provided\u003C\/p\u003E\u003Cp\u003EFor more about CSE GSE, check out: \u003Ca href=\u0022https:\/\/cse.gatech.edu\/cse-graduate-student-association\u0022\u003Ehttps:\/\/cse.gatech.edu\/cse-graduate-student-association\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe CSE Graduate Student Association welcomes students for bowling and pizza at Tech Rec\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The CSE Graduate Student Association welcomes students for bowling and pizza at Tech Rec"}],"uid":"36319","created_gmt":"2024-08-30 18:58:42","changed_gmt":"2024-08-30 19:02:19","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-09-06T18:00:00-04:00","event_time_end":"2024-09-06T20:00:00-04:00","event_time_end_last":"2024-09-06T20:00:00-04:00","gmt_time_start":"2024-09-06 22:00:00","gmt_time_end":"2024-09-07 00:00:00","gmt_time_end_last":"2024-09-07 00:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Tech Rec, John Lewis Student Center","extras":["free_food"],"hg_media":{"674790":{"id":"674790","type":"image","title":"Tech Rec.jpg","body":null,"created":"1725044333","gmt_created":"2024-08-30 18:58:53","changed":"1725044333","gmt_changed":"2024-08-30 18:58:53","alt":"Tech Rec","file":{"fid":"258352","name":"Tech Rec.jpg","image_path":"\/sites\/default\/files\/2024\/08\/30\/Tech%20Rec.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/08\/30\/Tech%20Rec.jpg","mime":"image\/jpeg","size":282609,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/08\/30\/Tech%20Rec.jpg?itok=ajSH3anQ"}}},"media_ids":["674790"],"related_links":[{"url":"https:\/\/cse.gatech.edu\/cse-graduate-student-association","title":""}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1793","name":"Sports\/Athletics"},{"id":"1791","name":"Student sponsored"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:cse-gsa@cc.gatech.edu\u0022\u003E\u003Cstrong\u003Ecse-gsa@cc.gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"676430":{"#nid":"676430","#data":{"type":"event","title":"School of CSE Information Session","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EWhat:\u003C\/strong\u003E\u0026nbsp;School of\u0026nbsp;CSE\u0026nbsp;Information Session\u003Cbr\u003E\u003Cstrong\u003EWho:\u003C\/strong\u003E\u0026nbsp;Prospective\u0026nbsp;CSE\u0026nbsp;Students\u003Cbr\u003E\u003Cstrong\u003EWhen:\u003C\/strong\u003E\u0026nbsp;Thursday, October 17 at 7:00 p.m. EDT\u003Cbr\u003E\u003Cstrong\u003EWhere:\u003C\/strong\u003E\u0026nbsp;Virtual (Zoom). Registration required\u003Cbr\u003E\u003Cstrong\u003EWhy:\u003C\/strong\u003E\u0026nbsp;To receive information on\u0026nbsp;CSE\u0026nbsp;programs,\u0026nbsp;application process, and Q\u0026amp;A\u0026nbsp;with School of CSE Associate Chair Elizabeth Cherry\u003C\/p\u003E\u003Cp\u003EPreregistration through the link below is required to attend session. Registration is required at least 24 hours in advance. Zoom link will be sent to registered email addresses prior to information session.\u003C\/p\u003E\u003Cp\u003ERegister\u0026nbsp;\u003Ca href=\u0022https:\/\/forms.office.com\/Pages\/ResponsePage.aspx?id=u5ghSHuuJUuLem1_Mvqgg5opFE_MuYpErzy9f2izmQtUNlU5N0g4Nlg0NTVEWlIzVVhOMU9SVEdEMi4u\u0022\u003E\u003Cstrong\u003Ehere through this form\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EInformation Session for prospective students interested in the School of CSE and CSE Programs\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Information Session for prospective students interested in the School of CSE and CSE Programs"}],"uid":"36319","created_gmt":"2024-08-30 18:46:48","changed_gmt":"2024-08-30 18:54:21","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-10-17T19:00:00-04:00","event_time_end":"2024-10-17T20:00:00-04:00","event_time_end_last":"2024-10-17T20:00:00-04:00","gmt_time_start":"2024-10-17 23:00:00","gmt_time_end":"2024-10-18 00:00:00","gmt_time_end_last":"2024-10-18 00:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Virtual (Zoom)","extras":[],"hg_media":{"674789":{"id":"674789","type":"image","title":"Fall 2024 CSE Information Session.png","body":null,"created":"1725043780","gmt_created":"2024-08-30 18:49:40","changed":"1725043780","gmt_changed":"2024-08-30 18:49:40","alt":"Fall 2024 Information Session","file":{"fid":"258351","name":"Fall 2024 CSE Information Session.png","image_path":"\/sites\/default\/files\/2024\/08\/30\/Fall%202024%20CSE%20Information%20Session.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/08\/30\/Fall%202024%20CSE%20Information%20Session.png","mime":"image\/png","size":168925,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/08\/30\/Fall%202024%20CSE%20Information%20Session.png?itok=CDR_Se9O"}}},"media_ids":["674789"],"related_links":[{"url":"https:\/\/cse.gatech.edu\/information-sessions","title":""}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"192863","name":"go-ai"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"676429":{"#nid":"676429","#data":{"type":"event","title":"School of CSE Information Session","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EWhat:\u003C\/strong\u003E\u0026nbsp;School of\u0026nbsp;CSE\u0026nbsp;Information Session\u003Cbr\u003E\u003Cstrong\u003EWho:\u003C\/strong\u003E\u0026nbsp;Prospective\u0026nbsp;CSE\u0026nbsp;Students\u003Cbr\u003E\u003Cstrong\u003EWhen:\u003C\/strong\u003E\u0026nbsp;Wednesday, October 16 at 8:00 a.m. EDT\u003Cbr\u003E\u003Cstrong\u003EWhere:\u003C\/strong\u003E\u0026nbsp;Virtual (Zoom). Registration required\u003Cbr\u003E\u003Cstrong\u003EWhy:\u003C\/strong\u003E\u0026nbsp;To receive information on\u0026nbsp;CSE\u0026nbsp;programs,\u0026nbsp;application process, and Q\u0026amp;A\u0026nbsp;with School of CSE Associate Chair Elizabeth Cherry\u003C\/p\u003E\u003Cp\u003EPreregistration through the link below is required to attend session. Registration is required at least 24 hours in advance. Zoom link will be sent to registered email addresses prior to information session.\u003C\/p\u003E\u003Cp\u003ERegister\u0026nbsp;\u003Ca href=\u0022https:\/\/forms.office.com\/Pages\/ResponsePage.aspx?id=u5ghSHuuJUuLem1_Mvqgg5opFE_MuYpErzy9f2izmQtUNlU5N0g4Nlg0NTVEWlIzVVhOMU9SVEdEMi4u\u0022\u003E\u003Cstrong\u003Ehere through this form\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EInformation Session for prospective students interested in the School of CSE and CSE Programs\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Information Session for prospective students interested in the School of CSE and CSE Programs"}],"uid":"36319","created_gmt":"2024-08-30 18:43:33","changed_gmt":"2024-08-30 18:54:18","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-10-16T08:00:00-04:00","event_time_end":"2024-10-16T09:00:00-04:00","event_time_end_last":"2024-10-16T09:00:00-04:00","gmt_time_start":"2024-10-16 12:00:00","gmt_time_end":"2024-10-16 13:00:00","gmt_time_end_last":"2024-10-16 13:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Virtual (Zoom)","extras":[],"hg_media":{"674789":{"id":"674789","type":"image","title":"Fall 2024 CSE Information Session.png","body":null,"created":"1725043780","gmt_created":"2024-08-30 18:49:40","changed":"1725043780","gmt_changed":"2024-08-30 18:49:40","alt":"Fall 2024 Information Session","file":{"fid":"258351","name":"Fall 2024 CSE Information Session.png","image_path":"\/sites\/default\/files\/2024\/08\/30\/Fall%202024%20CSE%20Information%20Session.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/08\/30\/Fall%202024%20CSE%20Information%20Session.png","mime":"image\/png","size":168925,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/08\/30\/Fall%202024%20CSE%20Information%20Session.png?itok=CDR_Se9O"}}},"media_ids":["674789"],"related_links":[{"url":"https:\/\/cse.gatech.edu\/information-sessions","title":""}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"192863","name":"go-ai"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"676182":{"#nid":"676182","#data":{"type":"event","title":"2024 GT College of Computing Community 5K","body":[{"value":"\u003Cdiv\u003EThe College of Computing\u0026nbsp;is hosting the 2024 GT Computing Community 5K run on Saturday, August 24. The run starts at 8:30 a.m. in the Klaus Advanced Computing Building courtyard. Students, faculty, staff, and alumni are invited to participate.\u0026nbsp;\u003Cbr\u003E\u0026nbsp;\u003C\/div\u003E\u003Cp\u003ELate registration will take place on-site, starting at 7:30 a.m.\u003Cbr\u003E\u003Cbr\u003E\u003Cstrong\u003EAwards:\u003C\/strong\u003E\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;Top Female Athletes (Ten awards given)\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;Top Male Athletes (Ten awards given)\u003C\/p\u003E\u003Cp\u003E\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Youth (Ten awards given)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECost:\u0026nbsp; \u003C\/strong\u003E\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;Free for GT CoC faculty, staff, and students\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;Non-GT CoC - $20 registration fee before 8\/21\/24 | $25 late fee (onsite)\u003C\/p\u003E\u003Cdiv\u003EThe GT Computing Community 5K is organized by the College of Computing\u0027s Office of Community \u0026amp; Student Engagement.\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe College of Computing\u0026nbsp;is hosting the 2024 GT Computing Community 5K run on Saturday, August 24. The run is open to students, faculty, staff, and alumni.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The College of Computing is hosting the 2024 GT Computing Community 5K run to kickoff the Fall 2024 semester."}],"uid":"35916","created_gmt":"2024-08-22 21:04:26","changed_gmt":"2024-08-22 21:44:14","author":"tbarashango3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-08-24T08:30:00-04:00","event_time_end":"2024-08-24T10:00:00-04:00","event_time_end_last":"2024-08-24T10:00:00-04:00","gmt_time_start":"2024-08-24 12:30:00","gmt_time_end":"2024-08-24 14:00:00","gmt_time_end_last":"2024-08-24 14:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Noonan Courtyard, 266 Ferst Street, Atlanta, GA","extras":["freebies"],"hg_media":{"674692":{"id":"674692","type":"image","title":"GT 5K flyer.png","body":null,"created":"1724362258","gmt_created":"2024-08-22 21:30:58","changed":"1724362258","gmt_changed":"2024-08-22 21:30:58","alt":"Flyer with information about GT Computing 5K","file":{"fid":"258245","name":"GT 5K flyer.png","image_path":"\/sites\/default\/files\/2024\/08\/22\/GT%205K%20flyer.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/08\/22\/GT%205K%20flyer.png","mime":"image\/png","size":1190350,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/08\/22\/GT%205K%20flyer.png?itok=uqD0ImLG"}},"674694":{"id":"674694","type":"image","title":"5K route map.png","body":null,"created":"1724363004","gmt_created":"2024-08-22 21:43:24","changed":"1724363004","gmt_changed":"2024-08-22 21:43:24","alt":"map of 5k route","file":{"fid":"258249","name":"5K route map.png","image_path":"\/sites\/default\/files\/2024\/08\/22\/5K%20route%20map_0.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/08\/22\/5K%20route%20map_0.png","mime":"image\/png","size":2166296,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/08\/22\/5K%20route%20map_0.png?itok=0iCZfa7E"}}},"media_ids":["674692","674694"],"groups":[{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[{"id":"4546","name":"5k"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:tiana.person@cc.gatech.edu\u0022\u003Etiana.person@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"675883":{"#nid":"675883","#data":{"type":"event","title":"2024 GT Computing Community 5K","body":[{"value":"\u003Cdiv\u003EThe College of Computing\u0026nbsp;is hosting the 2024 GT Computing Community 5K run on Saturday, August 24. The run starts at 8:30 a.m. in the Klaus Advanced Computing Building courtyard. Students, faculty, staff, and alumni are invited to participate.\u0026nbsp;\u003Cbr\u003E\u0026nbsp;\u003C\/div\u003E\u003Cul\u003E\u003Cli\u003E\u003Cdiv\u003ERegister for the 5K: \u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_3EMUEFBWUSdMLS6?Q_CHL=qr\u0022\u003Ehttps:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_3EMUEFBWUSdMLS6?Q_CHL=qr\u003C\/a\u003E\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv\u003EVolunteer to support the 5K: \u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_eVsLxvaYtIl3TaC\u0022 id=\u0022OWA6aed180a-9736-7095-db5f-17e41a3b2da2\u0022 rel=\u0022noreferrer noopener\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_eVsLxvaYtIl3TaC\u0022\u003Ehttps:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_eVsLxvaYtIl3TaC\u003C\/a\u003E\u003C\/div\u003E\u003C\/li\u003E\u003C\/ul\u003E\u003Cdiv\u003ELate registration will take place on-site, starting at 7:30 a.m.\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003EThe GT Computing Community 5K is organized by the College of Computing\u0027s Office of Community \u0026amp; Student Engagement.\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cdiv\u003EThe College of Computing\u0026nbsp;is hosting the 2024 GT Computing Community 5K run on Saturday, August 24. The run is open to students, faculty, staff, and alumni.\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The College of Computing is hosting the 2023 GT Computing Community 5K run to kickoff the Fall 2024 semester."}],"uid":"32045","created_gmt":"2024-08-09 14:50:12","changed_gmt":"2024-08-09 15:10:31","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-08-24T08:30:00-04:00","event_time_end":"2024-08-24T10:00:00-04:00","event_time_end_last":"2024-08-24T10:00:00-04:00","gmt_time_start":"2024-08-24 12:30:00","gmt_time_end":"2024-08-24 14:00:00","gmt_time_end_last":"2024-08-24 14:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus Bldg. Courtyard","extras":["freebies"],"hg_media":{"674546":{"id":"674546","type":"image","title":"College of Computing 5K 2024.jpg","body":null,"created":"1723216155","gmt_created":"2024-08-09 15:09:15","changed":"1723216155","gmt_changed":"2024-08-09 15:09:15","alt":"2024 GT Computing Community 5K flyer","file":{"fid":"258089","name":"College of Computing 5K 2024.jpg","image_path":"\/sites\/default\/files\/2024\/08\/09\/College%20of%20Computing%205K%202024.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/08\/09\/College%20of%20Computing%205K%202024.jpg","mime":"image\/jpeg","size":389375,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/08\/09\/College%20of%20Computing%205K%202024.jpg?itok=EpJAaLtL"}}},"media_ids":["674546"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576491","name":"CRNCH"},{"id":"576481","name":"ML@GT"},{"id":"66442","name":"MS HCI"},{"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":"4546","name":"5k"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"674382":{"#nid":"674382","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Tianxing He","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ETianxing, postdoctoral researcher at the University of Washington\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, April 30, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business Building, Second Floor, Room 201 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/q1Cq3aUrJdqTfXBT7\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EMitigating the Risks of Large Language Model Deployments for a Trustworthy Cyberspace\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Large language models (LLMs) have ushered in transformative possibilities and critical challenges within our cyberspace. While offering innovative applications, they also introduce substantial AI safety concerns. In my recent research, I employ a comprehensive approach encompassing both red teaming, involving meticulous examination of LLM-based systems to uncover potential vulnerabilities, and blue teaming, entailing the development of algorithms and protocols to enhance system robustness.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nIn this talk, I will delve into three recent projects focused on evaluation, detection, and privacy. (1) Can we trust LLMs as reliable natural language generation (NLG) evaluation metrics? We subject popular LLM-based metrics to extensive stress tests, uncovering significant blind spots. Our findings illuminate clear avenues for enhancing the robustness of these metrics. (2) How can we ensure robust detection of machine-generated text? We introduce SemStamp, a semantic watermark algorithm that performs rejection sampling in the semantic space during LLM generation. The inherent properties of semantic mapping render the watermark resilient to paraphrasing attacks.\u0026nbsp; (3) How do we protect the decoding-time privacy in prompted generation with online services like ChatGPT? The current paradigm gives zero option to users who want to keep the generated text to themselves. We propose LatticeGen, a cooperative framework in which the server still handles most of the computation while the client controls the sampling operation. The key idea is that the true generate sequence is mixed with noise tokens by the client and hidden in a noised lattice. To wrap up, I will outline future directions in the realm of AI safety, addressing the evolving challenges and opportunities that lie ahead.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003EBio:\u003C\/strong\u003E Tianxing He is a postdoctoral researcher working with Prof. Yulia Tsvetkov at the University of Washington. His research is focused on natural language generation (NLG) with large language models (LLMs). He did his Ph.D. at MIT CSAIL under the guidance of Prof. James Glass, where he worked towards a better understanding of LM generation. He received his Master degree from the SpeechLab at Shanghai Jiao Tong University (SJTU) with Prof. Kai Yu, and a Bachelor degree from ACM class at SJTU. Tianxing currently works on developing algorithms or protocols for a trustworthy cyberspace in the era of large language models. He is also interested in the critical domains of monitoring, detecting, and mitigating various behaviors exhibited by language models under diverse scenarios.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nTianxing\u2019s research is recognized with accolades, including the UW Postdoc Research Award, the CCF-Tencent Rhino-Bird Young Faculty Open Research Fund, and The ORACLE Project Award. He is a recipient of the Best Paper Award at NeurIPS-ENLSP 2022.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ETianxing, postdoctoral researcher at the University of Washington\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, April 30, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business Building, Second Floor, Room 201 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/q1Cq3aUrJdqTfXBT7\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EMitigating the Risks of Large Language Model Deployments for a Trustworthy Cyberspace\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Mitigating the Risks of Large Language Model Deployments for a Trustworthy Cyberspace"}],"uid":"36319","created_gmt":"2024-04-25 15:35:14","changed_gmt":"2024-04-25 15:39:57","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-04-30T11:00:00-04:00","event_time_end":"2024-04-30T12:00:00-04:00","event_time_end_last":"2024-04-30T12:00:00-04:00","gmt_time_start":"2024-04-30 15:00:00","gmt_time_end":"2024-04-30 16:00:00","gmt_time_end_last":"2024-04-30 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Scheller, Room 201","extras":[],"hg_media":{"673850":{"id":"673850","type":"image","title":"formal_photo.jpeg","body":null,"created":"1714059492","gmt_created":"2024-04-25 15:38:12","changed":"1714059492","gmt_changed":"2024-04-25 15:38:12","alt":"CSE Tianxing He","file":{"fid":"257299","name":"formal_photo.jpeg","image_path":"\/sites\/default\/files\/2024\/04\/25\/formal_photo.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/04\/25\/formal_photo.jpeg","mime":"image\/jpeg","size":144315,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/04\/25\/formal_photo.jpeg?itok=2WIlVSY_"}}},"media_ids":["673850"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr \/\u003E\r\nmhigh7@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"674290":{"#nid":"674290","#data":{"type":"event","title":"IC Spring Seminar Series with Guest Speaker Tucker Balch","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAI is of course finding many applications in Finance. \u0026nbsp;I\u2019ll illustrate with deep dives on three examples at a large U.S. bank: 1) Are the markets rigged? A detective story using ML and multi-agent simulation, 2) Fake it till you make it: The growing importance Synthetic Data in Finance, and 3) How to trick computer vision into predicting the future.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETucker Balch was a professor of Interactive Computing at Georgia Tech from 2001 to 2018. His initial work centered on machine learning, computer vision, and multi agent simulation to inform the study of social animals. He later focused on machine learning in finance and markets. In 2019 he joined J.P. Morgan where he helped establish and grow the AI Research group. AI research has grown to include over 120 PhD and MS researchers. The group\u2019s success has contributed to J.P. Morgan\u2019s #1 ranking in AI among banks worldwide.\u0026nbsp;\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title \u2014 AI in Finance: Three Mini-Talks\u003C\/strong\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Talk Title \u2014 AI in Finance: Three Mini-Talks"}],"uid":"36530","created_gmt":"2024-04-19 19:26:50","changed_gmt":"2024-04-19 19:31:17","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-04-25T11:00:00-04:00","event_time_end":"2024-04-25T12:00:00-04:00","event_time_end_last":"2024-04-25T12:00:00-04:00","gmt_time_start":"2024-04-25 15:00:00","gmt_time_end":"2024-04-25 16:00:00","gmt_time_end_last":"2024-04-25 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"IC Cafe, Technology Square Research Building, 2nd Floor","extras":[],"hg_media":{"673786":{"id":"673786","type":"image","title":"Balch_Tucker.png","body":null,"created":"1713554929","gmt_created":"2024-04-19 19:28:49","changed":"1713554929","gmt_changed":"2024-04-19 19:28:49","alt":"Tucker Balch","file":{"fid":"257223","name":"Balch_Tucker.png","image_path":"\/sites\/default\/files\/2024\/04\/19\/Balch_Tucker.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/04\/19\/Balch_Tucker.png","mime":"image\/png","size":396174,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/04\/19\/Balch_Tucker.png?itok=2i1KOYTm"}}},"media_ids":["673786"],"groups":[{"id":"47223","name":"College of Computing"},{"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\u003ENathan Deen\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer I\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Interactive Computing\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"674259":{"#nid":"674259","#data":{"type":"event","title":"IC Distinguished Lecture Series with Guest Speaker Noah Smith","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENeural language models with billions of parameters and trained on trillions of words are powering the fastest-growing computing applications in history and generating discussion and debate around the world. Yet most scientists cannot study or improve those state-of-the-art models because the organizations deploying them keep their data and machine learning processes secret. I believe that the path to models that are usable by all, at low cost, customizable for areas of critical need like the sciences, and whose capabilities and limitations are made transparent and understandable, is\u0026nbsp;\u003Cem\u003Eradically open development\u003C\/em\u003E, with academic and not-for-profit researchers empowered to do reproducible science.\u0026nbsp;Projects like Falcon, Llama, MPT, and Pythia provide glimmers of hope.\u0026nbsp; In this talk, I\u2019ll share the story of the work our team is doing to radically open up the science of language modeling.\u0026nbsp;As of April 2024, we\u2019ve released Dolma, a three-trillion-token open dataset curated for training language models, and used it to pretrain OLMo v1, also publicly released. We\u2019ve also built and released T\u00fclu, a series of open instruction-tuned models.\u0026nbsp;All of these come with open-source code and extensive documentation, including new tools for evaluation.\u0026nbsp;Together these artifacts make it possible to explore new scientific questions and democratize control of the future of this fascinating and important technology.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe work I\u2019ll present was carried out primarily by a large team at the Allen Institute for Artificial Intelligence in Seattle, with collaboration from the Paul G. Allen School at the University of Washington and various kinds of support and coordination from many organizations, including the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University, AMD, CSC - IT Center for Science (Finland), Databricks, and\u0026nbsp;Together.ai. \u0026nbsp;\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title \u2014 It\u2019s Time to Open Up Language Models\u003C\/strong\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Talk Title \u2014 It\u2019s Time to Open Up Language Models"}],"uid":"36530","created_gmt":"2024-04-18 15:11:42","changed_gmt":"2024-04-18 15:18:42","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-04-26T11:00:40-04:00","event_time_end":"2024-04-26T12:00:00-04:00","event_time_end_last":"2024-04-26T12:00:00-04:00","gmt_time_start":"2024-04-26 15:00:40","gmt_time_end":"2024-04-26 16:00:00","gmt_time_end_last":"2024-04-26 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Technology Square Research Building, 1st Floor Auditorium, Room 118","extras":[],"hg_media":{"673750":{"id":"673750","type":"image","title":"nasmith_headshot.jpeg","body":null,"created":"1713453368","gmt_created":"2024-04-18 15:16:08","changed":"1713453368","gmt_changed":"2024-04-18 15:16:08","alt":"Noah Smith","file":{"fid":"257183","name":"nasmith_headshot.jpeg","image_path":"\/sites\/default\/files\/2024\/04\/18\/nasmith_headshot.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/04\/18\/nasmith_headshot.jpeg","mime":"image\/jpeg","size":418048,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/04\/18\/nasmith_headshot.jpeg?itok=Yltg76ei"}}},"media_ids":["673750"],"groups":[{"id":"47223","name":"College of Computing"},{"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\u003ENathan Deen\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer I\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Interactive Computing\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"673941":{"#nid":"673941","#data":{"type":"event","title":"HotCSE Seminar: Koby Hayashi","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE Ph.D. Student Koby Hayashi\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, April 17, 2024 at 12:00 pm\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, 13th Floor, Conference Room C1315 Grant Park (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003ELunch provided!\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ERandomized Algorithms for Nonnegative\u0026nbsp;Matrix Factorization\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003ENonnegative Matrix Factorization (NMF) is a popular technique used in Machine Learning, Data mining, Computational Neuroscience, Image Segmentation, and more. We developand analyze two randomized methods for computing NMF. Our methods are based on techniques from Randomized Numerical Linear Algebra. The first is based on computing a coarse grained factorization and then refining it. The second uses randomization to provably\u0026nbsp;solve sequences of constrained least squares problems to a desired accuracy. Our methods result in up to 7.5x and 5.5x speedup on large dense and sparse problems. We validate the output of our randomized methods by testing them on two graph clustering tasks.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Koby Hayashi is a Ph.D. Student in the College of Computing at Georgia Tech. He primarily works on low-rank approximation (LRA) methods for matrices and tensors. In this vein\u0026nbsp;he has developed distributed memory and randomized algorithms for LRA methods. Additionally, he has explored LRA\u0027s applications to the problems of data clustering and latent feature discovery.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EAbout HotCSE\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHotCSE is an academic seminar series to bring Ph.D. students in Computational Science and Engineering together to discuss interesting topics. The topics consist of high-performance computing, machine learning, data analysis, simulation, computational sustainability, medical informatics, etc.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe talks have always been enjoyable and have ranged from quite informal to formal conference style talks. Either chalks or slides can be used to help people understand your talk. It is also a great forum to practice conference talks and bounce around new ideas.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECurrently the talks are sponsored by the School of Computational Science and Engineering. The goal of CSE is slightly broader than that of these talks - we want to bring more people outside CSE to discuss their related work here.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAll talks are free and open to the public. Besides,\u0026nbsp;\u003Cstrong\u003ELUNCH\u003C\/strong\u003E\u0026nbsp;is provided!!!\u0026nbsp;Those without CODA building access can meet at the second-floor elevators at 11:50 AM to go up.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf you are interested in participating as a future\u0026nbsp;\u003Ca href=\u0022https:\/\/hotcse.gatech.edu\/\u0022 id=\u0022OWAe48843b7-0823-1939-a3bc-3b294ef3d70f\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/hotcse.gatech.edu\/\u0022\u003EHotCSE\u003C\/a\u003E\u0026nbsp;speaker, please fill in\u0026nbsp;\u003Ca href=\u0022https:\/\/forms.gle\/Cmyt4iRJ7EjnwX9i8\u0022 id=\u0022OWA49f60b7e-fe04-753f-726b-63db09c9acc5\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/forms.gle\/Cmyt4iRJ7EjnwX9i8\u0022\u003Ethis form\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf you are interested in helping with HotCSE or other GSA-organized events, please fill in\u0026nbsp;\u003Ca href=\u0022https:\/\/forms.gle\/nGXcVqtYMt3BCWaJ7\u0022 title=\u0022https:\/\/forms.gle\/nGXcVqtYMt3BCWaJ7\u0022\u003Ethis form\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE Ph.D. Student Koby Hayashi\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, April 17, 2024 at 12:00 pm\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, 13th Floor, Conference Room C1315 Grant Park (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ERandomized Algorithms for Nonnegative\u0026nbsp;Matrix Factorization\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Scaling Constrained Low-rank Approximations"}],"uid":"36319","created_gmt":"2024-04-03 13:50:41","changed_gmt":"2024-04-15 14:41:49","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-04-17T12:00:00-04:00","event_time_end":"2024-04-17T13:00:00-04:00","event_time_end_last":"2024-04-17T13:00:00-04:00","gmt_time_start":"2024-04-17 16:00:00","gmt_time_end":"2024-04-17 17:00:00","gmt_time_end_last":"2024-04-17 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room C1315","extras":["free_food"],"hg_media":{"673579":{"id":"673579","type":"image","title":"koby hayashi 2019.jpeg","body":null,"created":"1712058353","gmt_created":"2024-04-02 11:45:53","changed":"1712058353","gmt_changed":"2024-04-02 11:45:53","alt":"CSE Koby Hayashi","file":{"fid":"256990","name":"koby hayashi 2019.jpeg","image_path":"\/sites\/default\/files\/2024\/04\/02\/koby%20hayashi%202019.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/04\/02\/koby%20hayashi%202019.jpeg","mime":"image\/jpeg","size":68792,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/04\/02\/koby%20hayashi%202019.jpeg?itok=zqE0K4vs"}}},"media_ids":["673579"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ECSE Graduate Student Association\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ecse-gsa@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"674161":{"#nid":"674161","#data":{"type":"event","title":"IC Spring Seminar Series with Guest Speaker Christina Harrington","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EAbstract\u003C\/span\u003E\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\u003E\u003Cspan\u003EHistorically, marginalized populations have experienced exacerbated\u0026nbsp;inequities due to the design of technological interventions that have not considered their needs. Research on the use of intelligent systems suggests that racial disparities exist within users\u0027 experiences with many emerging technologies. Scholars have begun to call for a more intersectional framing of marginalized communities\u0027 experiences with technology, suggesting a need to understand the impacts of both race, age, and cultural background on how intelligent systems are conceptualized and understood. Community-based research approaches\u0026nbsp;stand to inform a more equity-centered consideration of technology by dismantling the concepts of \u201cotherness\u201d that are often associated with historically marginalized groups. In this talk, I\u2019ll present research that centers marginalized groups in our considerations of what makes both technology as\u0026nbsp;well as\u0026nbsp;HCI and design research inclusive, equitable, and transformative.\u0026nbsp; \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\u003Cstrong\u003E\u003Cspan\u003EBio\u003C\/span\u003E\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\u003E\u003Cspan\u003EDr. Christina N. Harrington (she\/her) is a designer and qualitative researcher who works at the intersection of interaction design and health and racial equity. Her background and years of experience in engineering and design inform her research in the areas of accessible and inclusive design. Specifically, she explores how to use design in the development of products to support historically excluded groups such as Black communities, older adults, and individuals with disabilities in maintaining their health, wellness, and autonomy in defining technology experiences. Dr. Harrington\u0027s research passion centers communities that have historically been at the margins of mainstream design. She looks to methods such as design justice and community-based participatory design to broaden and amplify participation in design by addressing the barriers that corporate approaches have placed on our ability to see design as a universal language of communication and knowledge.\u0026nbsp;Her work in equitable technology interactions has earned academic and public acclaim, receiving numerous paper\u0026nbsp;awards and the CRA Early Career Award.\u0026nbsp;Dr. Harrington is currently an assistant professor in the HCI Institute at Carnegie Mellon University where she is also the Director of the Equity and Health Innovations Design Research Lab.\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\u003ETalk title \u2014 Engaging Community-Based Practices to Explore Equity in Emerging Technology\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Talk title \u2014 Engaging Community-Based Practices to Explore Equity in Emerging Technology "}],"uid":"36530","created_gmt":"2024-04-12 14:05:11","changed_gmt":"2024-04-12 14:11:29","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-04-18T11:00:00-04:00","event_time_end":"2024-04-18T12:00:00-04:00","event_time_end_last":"2024-04-18T12:00:00-04:00","gmt_time_start":"2024-04-18 15:00:00","gmt_time_end":"2024-04-18 16:00:00","gmt_time_end_last":"2024-04-18 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"IC Cafe, Technology Square Research Building, 2nd Floor","extras":[],"hg_media":{"673697":{"id":"673697","type":"image","title":"Harrington_Christina.jpg","body":null,"created":"1712930866","gmt_created":"2024-04-12 14:07:46","changed":"1712930866","gmt_changed":"2024-04-12 14:07:46","alt":"Christina Harrington","file":{"fid":"257126","name":"Harrington_Christina.jpg","image_path":"\/sites\/default\/files\/2024\/04\/12\/Harrington_Christina.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/04\/12\/Harrington_Christina.jpg","mime":"image\/jpeg","size":301384,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/04\/12\/Harrington_Christina.jpg?itok=NbWcTRUk"}}},"media_ids":["673697"],"groups":[{"id":"47223","name":"College of Computing"},{"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":""}},"671824":{"#nid":"671824","#data":{"type":"event","title":"School of CSE Seminar Series: Youssef Marzouk","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;MIT Professor Youssef Marzouk\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;April 12, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller 201\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Peng Chen\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003EOn Low-Dimensional Structure in Transport and Inference\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003ETransportation of measure underlies many powerful tools for Bayesian inference, density estimation, and generative modeling. The central idea is to deterministically couple a probability measure of interest with a tractable \u201creference\u201d measure (e.g., a standard Gaussian). Such couplings are induced by transport maps, and enable direct simulation from the desired measure simply by evaluating the transport map at samples from the reference.\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nWhile an enormous variety of representations and constructive algorithms for transport maps have been proposed in recent years, it is inevitably advantageous to exploit the potential for low-dimensional structure in the associated probability measures. I will discuss two such notions of low-dimensional structure, and their interplay with transport-driven methods for sampling and inference. The first seeks to approximate a high-dimensional target measure as a low-dimensional update of a dominating reference measure. The second is low-rank conditional structure, where the goal is to replace conditioning variables with low-dimensional projections or summaries. In both cases, under appropriate assumptions on the reference or target measures, one can derive gradient-based upper bounds on the associated approximation error and minimize these bounds to identify good subspaces for approximation. The associated subspaces then dictate specific structural ansatzes for transport maps that represent the target of interest.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nI will showcase several algorithmic instantiations of this idea, focusing on Bayesian inverse problems, data assimilation, and simulation-based inference.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003EYoussef Marzouk is a professor in the Department of Aeronautics and Astronautics at the Massachusetts Institute of Technology (MIT), and co-director of the Center for Computational Science and Engineering within the MIT Schwarzman College of Computing. He is also a core member of MIT\u0027s Statistics and Data Science Center and a PI in the MIT Laboratory for Information and Decision Systems (LIDS).\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nHis research interests lie at the intersection of statistical inference, computational mathematics, and physical modeling. He develops new methodologies for uncertainty quantification, Bayesian computation, and machine learning in complex physical systems, motivated by a broad range of engineering and science applications. His recent efforts have centered on algorithms for data assimilation and inverse problems; dimension reduction methodologies for high-dimensional learning and surrogate modeling; optimal experimental design; and transportation of measure as a tool for inference and stochastic modeling.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nHe received his S.B., S.M., and Ph.D. degrees from MIT and spent four years at Sandia National Laboratories before joining the MIT faculty in 2009. He is also an avid coffee drinker and classical pianist.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;MIT Professor Youssef Marzouk\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;April 12, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller 201\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Peng Chen\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003EOn Low-Dimensional Structure in Transport and Inference\u003C\/em\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Youssef Marzouk, professor at MIT"}],"uid":"36319","created_gmt":"2024-01-03 16:42:25","changed_gmt":"2024-04-09 11:34:34","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-04-12T14:00:00-04:00","event_time_end":"2024-04-12T15:00:00-04:00","event_time_end_last":"2024-04-12T15:00:00-04:00","gmt_time_start":"2024-04-12 18:00:00","gmt_time_end":"2024-04-12 19:00:00","gmt_time_end_last":"2024-04-12 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Scheller 201","extras":["free_food"],"hg_media":{"672657":{"id":"672657","type":"image","title":"youssef-marzouk.jpeg","body":null,"created":"1704300156","gmt_created":"2024-01-03 16:42:36","changed":"1704300156","gmt_changed":"2024-01-03 16:42:36","alt":"Youssef Marzouk","file":{"fid":"255934","name":"youssef-marzouk.jpeg","image_path":"\/sites\/default\/files\/2024\/01\/03\/youssef-marzouk.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/01\/03\/youssef-marzouk.jpeg","mime":"image\/jpeg","size":38487,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/01\/03\/youssef-marzouk.jpeg?itok=xDemPxjR"}}},"media_ids":["672657"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EPeng Chen (pchen402@gatech.edu)\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"674008":{"#nid":"674008","#data":{"type":"event","title":"School of CSE Seminar Series: Adrian Lozano-Duran","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;MIT Assistant Professor Adrian Lozano-Duran\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;April 19, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Spencer Bryngelson\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003EBuilding-block Flow model for Computational Fluids\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;The predictive capabilities of computational fluid dynamics (CFD), critical for aerodynamic design, hinge on the development of accurate closure models. However, no practical model has emerged as universally applicable across the broad range of flow regimes of interest to the industry. We introduce a closure model for CFD, referred to as the Building-block Flow Model (BFM). The foundation of the model rests on the premise that a finite collection of simple flows encapsulates the essential physics necessary to predict more complex scenarios. The BFM is implemented using artificial neural networks and introduces five unique advancements within the framework of large-eddy simulation: (1) It is designed to predict multiple flow regimes (laminar flow, wall turbulence under zero, favorable, and adverse mean-pressure gradients, separation, statistically unsteady turbulence, and wall roughness effects); (2) It leverages information-theoretic dimensional analysis to select the most relevant non-dimensional input\/output variables; (3) It ensures consistency with numerical schemes and gridding strategy by accounting for numerical errors; (4) It is directly applicable to arbitrary complex geometries; (5) It can be scaled up to model additional flow physics in the future if needed (e.g., shockwaves and laminar-to-turbulent transition). The BFM is utilized to predict key quantities of interest in a wide range of cases, such as turbine blades with roughness, speed bumps, and aircraft in landing configuration. In all cases, the BFM demonstrates similar or superior capabilities in terms of accuracy and computational efficiency compared to previous state-of-the-art closure models. We also discuss ongoing efforts to extend the model to supersonic and hypersonic flows with applications to Entry, Descent and Landing (EDL) vehicles.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Adrian Lozano-Duran is the Boeing Assistant Professor at MIT AeroAstro. He is also a faculty at the MIT Center for Computational Science and Engineering. He received his Ph.D. in Aerospace Engineering from the Technical University of Madrid in 2015. From 2016 to 2020, he was a Postdoctoral Research Fellow at the Center for Turbulence Research at Stanford University. His research is focused on computational fluid mechanics and physics of turbulence. His work includes turbulence theory using graph theory and information theory, and reduced-order modeling for computational fluids by artificial intelligence.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;MIT Assistant Professor Adrian Lozano-Duran\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;April 19, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Spencer Bryngelson\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003EBuilding-block Flow model for Computational Fluids\u003C\/em\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Adrian Lozano-Duran, assistant professor at MIT"}],"uid":"36319","created_gmt":"2024-04-04 19:27:02","changed_gmt":"2024-04-08 14:38:43","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-04-19T14:00:00-04:00","event_time_end":"2024-04-19T15:00:00-04:00","event_time_end_last":"2024-04-19T15:00:00-04:00","gmt_time_start":"2024-04-19 18:00:00","gmt_time_end":"2024-04-19 19:00:00","gmt_time_end_last":"2024-04-19 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":["free_food"],"hg_media":{"673627":{"id":"673627","type":"image","title":"Adrian-Lozana-Duran.jpeg","body":null,"created":"1712259114","gmt_created":"2024-04-04 19:31:54","changed":"1712259114","gmt_changed":"2024-04-04 19:31:54","alt":"CSE Adrian Lozano-Duran","file":{"fid":"257045","name":"Adrian-Lozana-Duran.jpeg","image_path":"\/sites\/default\/files\/2024\/04\/04\/Adrian-Lozana-Duran.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/04\/04\/Adrian-Lozana-Duran.jpeg","mime":"image\/jpeg","size":80568,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/04\/04\/Adrian-Lozana-Duran.jpeg?itok=kVUkEzOA"}}},"media_ids":["673627"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ESpencer Bryngelson (shb@gatech.edu)\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"673992":{"#nid":"673992","#data":{"type":"event","title":"IC Spring Seminar Series with Guest Speaker Naveena Karusala","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EAbstract\u003C\/span\u003E\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\u003E\u003Cspan\u003EA chronic lack of investment in care domains, like social services and healthcare, has left care workers overburdened and communities underserved, across the world. In response, governments and nonprofits have increasingly turned to AI to help reduce work burden and maximize the impact of scarce resources. To meet these aims, the design of AI technologies must account for complex work practices and existing inequities in access to care among marginalized communities. In this talk, I will present three areas of my research centering care work in the design of AI technologies, asking: 1) how algorithmic decision-making processes in social services can support the ability to contest decisions about resource allocation, 2) how NLP tools might augment the work of patient education, and 3) how chatbots in public health can account for the structural inequities faced by marginalized communities within health systems. Building on these themes, I will then share my future research agenda focused on the role of human-centered AI in more sustainable futures of care work.\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\u003Cstrong\u003E\u003Cspan\u003EBio\u003C\/span\u003E\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\u003E\u003Cspan\u003ENaveena Karusala is a postdoctoral fellow at Harvard University\u0027s Center for Research on Computation and Society. Her research investigates the design of AI technologies that center the agency and labor of care workers and communities, with a focus on the domains of social services and healthcare. Her work has received Best Paper at ACM CHI and Diversity and Inclusion Recognition at ACM CSCW. She holds a PhD in Computer Science from the University of Washington, and a Bachelor\u0027s in Computer Science from the Georgia Institute of Technology. Naveena initiated and leads the Futuring SIGCHI program aimed at nurturing early careers across the special interest group, and has served on the ACM SIGCHI Executive Committee since 2023.\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\u003Cstrong\u003ETalk Title \u2014 Designing Human-Centered and Careful AI-Mediated Futures of Work\u003C\/strong\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Talk Title \u2014 Designing Human-Centered and Careful AI-Mediated Futures of Work"}],"uid":"36530","created_gmt":"2024-04-04 15:09:25","changed_gmt":"2024-04-04 15:12:14","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-04-11T11:00:00-04:00","event_time_end":"2024-04-11T12:00:00-04:00","event_time_end_last":"2024-04-11T12:00:00-04:00","gmt_time_start":"2024-04-11 15:00:00","gmt_time_end":"2024-04-11 16:00:00","gmt_time_end_last":"2024-04-11 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"IC Cafe, Technology Square Research Building, 2nd Floor","extras":[],"hg_media":{"673618":{"id":"673618","type":"image","title":"Karusala_Naveena.jpg","body":null,"created":"1712243382","gmt_created":"2024-04-04 15:09:42","changed":"1712243382","gmt_changed":"2024-04-04 15:09:42","alt":"Naveena Karusala","file":{"fid":"257034","name":"Karusala_Naveena.jpg","image_path":"\/sites\/default\/files\/2024\/04\/04\/Karusala_Naveena.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/04\/04\/Karusala_Naveena.jpg","mime":"image\/jpeg","size":500503,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/04\/04\/Karusala_Naveena.jpg?itok=Crsmsp2P"}}},"media_ids":["673618"],"groups":[{"id":"47223","name":"College of Computing"},{"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":""}},"673457":{"#nid":"673457","#data":{"type":"event","title":"CSE GSA Faculty Career Panel","body":[{"value":"\u003Cp\u003EJoin us for insights on planning careers after graduation from School of CSE faculty Elizabeth Cherry, Xiuwei Zhang, Florian Schaefer, and Felix Herrmann. Fill in a response at\u0026nbsp;\u003Ca href=\u0022https:\/\/forms.gle\/yAWCz4tTMA4JZrJh9\u0022 id=\u0022OWAbc1512c5-9946-105e-2669-b92facf50ec9\u0022 rel=\u0022noopener noreferrer\u0022 title=\u0022https:\/\/forms.gle\/yAWCz4tTMA4JZrJh9\u0022\u003Ethis form\u003C\/a\u003E\u0026nbsp;to submit questions ahead of time. Lunch will be provided!\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf you are interested in helping with career panels or other GSA-organized events, please fill in\u0026nbsp;\u003Ca href=\u0022https:\/\/forms.gle\/nGXcVqtYMt3BCWaJ7\u0022 id=\u0022OWAad517391-78c3-0f22-d27f-4159121b38d8\u0022 rel=\u0022noopener noreferrer\u0022 title=\u0022https:\/\/forms.gle\/nGXcVqtYMt3BCWaJ7\u0022\u003Ethis form\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate\/Time:\u003C\/strong\u003E March 13, 12:00-1:00\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E CSE Workshop Room (Coda Building, 13th Floor across from the kitchen)\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECheck out the \u003Ca href=\u0022https:\/\/cse.gatech.edu\/cse-graduate-student-association\u0022\u003ECSE GSA webpage\u003C\/a\u003E for more upcoming events and activities!\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJoin us for insights on planning careers after graduation from School of CSE faculty Elizabeth Cherry, Xiuwei Zhang, Florian Schaefer, and Felix Herrmann. Fill in a response at\u0026nbsp;\u003Ca href=\u0022https:\/\/forms.gle\/yAWCz4tTMA4JZrJh9\u0022 id=\u0022OWAbc1512c5-9946-105e-2669-b92facf50ec9\u0022 rel=\u0022noopener noreferrer\u0022 title=\u0022https:\/\/forms.gle\/yAWCz4tTMA4JZrJh9\u0022\u003Ethis form\u003C\/a\u003E\u0026nbsp;to submit questions ahead of time. Lunch will be provided!\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf you are interested in helping with career panels or other GSA-organized events, please fill in\u0026nbsp;\u003Ca href=\u0022https:\/\/forms.gle\/nGXcVqtYMt3BCWaJ7\u0022 id=\u0022OWAad517391-78c3-0f22-d27f-4159121b38d8\u0022 rel=\u0022noopener noreferrer\u0022 title=\u0022https:\/\/forms.gle\/nGXcVqtYMt3BCWaJ7\u0022\u003Ethis form\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate\/Time:\u003C\/strong\u003E March 13, 12:00-1:00\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E CSE Workshop Room (Coda Building, 13th Floor across from the kitchen)\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECheck out the \u003Ca href=\u0022https:\/\/cse.gatech.edu\/cse-graduate-student-association\u0022\u003ECSE GSA webpage\u003C\/a\u003E for more upcoming events and activities!\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The CSE Graduate Student Association welcomes students for lunch and a panel on insights for career planning after graduation"}],"uid":"36319","created_gmt":"2024-03-11 18:39:17","changed_gmt":"2024-04-03 18:55:12","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-13T12:00:00-04:00","event_time_end":"2024-03-13T13:00:00-04:00","event_time_end_last":"2024-03-13T13:00:00-04:00","gmt_time_start":"2024-03-13 16:00:00","gmt_time_end":"2024-03-13 17:00:00","gmt_time_end_last":"2024-03-13 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"CSE Workshop Room","extras":["free_food"],"hg_media":{"673605":{"id":"673605","type":"image","title":"0B1A9496_1.jpg","body":null,"created":"1712170480","gmt_created":"2024-04-03 18:54:40","changed":"1712170480","gmt_changed":"2024-04-03 18:54:40","alt":"CSE GSA 2024 Faculty Carer Panel","file":{"fid":"257021","name":"0B1A9496_1.jpg","image_path":"\/sites\/default\/files\/2024\/04\/03\/0B1A9496_1.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/04\/03\/0B1A9496_1.jpg","mime":"image\/jpeg","size":2047890,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/04\/03\/0B1A9496_1.jpg?itok=uAPtvzo2"}}},"media_ids":["673605"],"related_links":[{"url":"https:\/\/cse.gatech.edu\/cse-graduate-student-association","title":"CSE Graduate Student Association (GSA)"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"},{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"673881":{"#nid":"673881","#data":{"type":"event","title":"CSE Graduate Student Association Dinner Meetup","body":[{"value":"\u003Cp\u003ECSE GSA is hosting an informal dinner event this week at the \u003Ca href=\u0022https:\/\/codatechsquare.com\/the-collective-food-hall\/\u0022\u003ECoda Collective Food Hall\u003C\/a\u003E (the food court on the first floor of CODA) on Friday April 5th at 6:00 pm.\u0026nbsp;This is a good chance to meet and chat with other graduate students over a various choice of food and beverages. Food and drinks will be at each person\u0027s own expense.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ECSE GSA is hosting an informal dinner event this week at the Coda Collective Food Hall (the food court on the first floor of CODA) on Friday April 5th at 6:00 pm.\u0026nbsp;This is a good chance to meet and chat with other graduate students over a various choice of food and beverages. Food and drinks will be at each person\u0027s own expense.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"CSE GSA invites students for an informal dinner meetup at the Coda Collective on April 5th"}],"uid":"36319","created_gmt":"2024-04-01 17:46:29","changed_gmt":"2024-04-01 18:21:45","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-04-05T18:00:00-04:00","event_time_end":"2024-04-05T21:30:00-04:00","event_time_end_last":"2024-04-05T21:30:00-04:00","gmt_time_start":"2024-04-05 22:00:00","gmt_time_end":"2024-04-06 01:30:00","gmt_time_end_last":"2024-04-06 01:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda Collective Food Hall","extras":[],"hg_media":{"673570":{"id":"673570","type":"image","title":"Reception 3.JPG","body":null,"created":"1711993801","gmt_created":"2024-04-01 17:50:01","changed":"1711993801","gmt_changed":"2024-04-01 17:50:01","alt":"CSE Welcome Reception Fall 2022","file":{"fid":"256981","name":"Reception 3.JPG","image_path":"\/sites\/default\/files\/2024\/04\/01\/Reception%203.JPG","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/04\/01\/Reception%203.JPG","mime":"image\/jpeg","size":7454374,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/04\/01\/Reception%203.JPG?itok=D2wC_tcX"}}},"media_ids":["673570"],"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":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ECSE Graduate Student Association\u003Cbr \/\u003E\r\n(cse-gsa@cc.gatech.edu)\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"671823":{"#nid":"671823","#data":{"type":"event","title":"School of CSE Seminar Series: Yuejie Chi","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Carnegie Mellon University Professor Yuejie Chi\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;April 5, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Bo Dai\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ESolving Inverse Problems with Generative Priors: From Low-rank to Diffusion Models\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EGenerative priors are effective countermeasures to combat the curse of dimensionality, and enable efficient learning and inversion that otherwise are ill-posed, in data science. This talk begins with the classical low-rank prior, and introduces scaled gradient descent (ScaledGD), a simple iterative approach to directly recover the low-rank factors for a wide range of matrix and tensor estimation tasks. ScaledGD provably converges linearly at a constant rate independent of the condition number at near-optimal sample complexities, while maintaining the low per-iteration cost of vanilla gradient descent, even when the rank is overspecified and the initialization is random. Going beyond low rank, the talk discusses score-based diffusion models as an expressive data prior in inverse problems, and introduces a plug-and-play method (Diffusion PnP) that alternatively calls two samplers, a denoising diffusion sampler based solely on the unconditional score functions of data, and a proximal consistency sampler solely based on the forward model. Performance guarantees and numerical examples will be demonstrated to illustrate the promise.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EDr. Yuejie Chi is the Sense of Wonder Group Endowed Professor of Electrical and Computer Engineering in AI Systems at Carnegie Mellon University, with courtesy appointments in the Machine Learning department and CyLab. She received her Ph.D. and M.A. from Princeton University, and B. Eng. (Hon.) from Tsinghua University, all in Electrical Engineering. Her research interests lie in the theoretical and algorithmic foundations of data science, signal processing, machine learning and inverse problems, with applications in sensing, imaging, decision making, and AI systems. Among others, Dr. Chi received the Presidential Early Career Award for Scientists and Engineers (PECASE), SIAM Activity Group on Imaging Science Best Paper Prize, IEEE Signal Processing Society Young Author Best Paper Award, and the inaugural IEEE Signal Processing Society Early Career Technical Achievement Award for contributions to high-dimensional structured signal processing. She is an IEEE Fellow (Class of 2023) for contributions to statistical signal processing with low-dimensional structures.\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\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Carnegie Mellon University Professor Yuejie Chi\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;April 5, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Bo Dai\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ESolving Inverse Problems with Generative Priors: From Low-rank to Diffusion Models\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/em\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Yuejie Chi, professor at Carnegie Mellon University"}],"uid":"36319","created_gmt":"2024-01-03 16:35:14","changed_gmt":"2024-04-01 17:19:29","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-04-05T14:00:00-04:00","event_time_end":"2024-04-05T15:00:00-04:00","event_time_end_last":"2024-04-05T15:00:00-04:00","gmt_time_start":"2024-04-05 18:00:00","gmt_time_end":"2024-04-05 19:00:00","gmt_time_end_last":"2024-04-05 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":["free_food"],"hg_media":{"672656":{"id":"672656","type":"image","title":"Yuejie Chi.jpg","body":null,"created":"1704299725","gmt_created":"2024-01-03 16:35:25","changed":"1704299725","gmt_changed":"2024-01-03 16:35:25","alt":"CMU Yuejie Chi ","file":{"fid":"255933","name":"Yuejie Chi.jpg","image_path":"\/sites\/default\/files\/2024\/01\/03\/Yuejie%20Chi.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/01\/03\/Yuejie%20Chi.jpg","mime":"image\/jpeg","size":54163,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/01\/03\/Yuejie%20Chi.jpg?itok=TTZcKU-2"}}},"media_ids":["672656"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBo Dai (bodai@cc.gatech.edu)\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"673780":{"#nid":"673780","#data":{"type":"event","title":"IC Spring Seminar Series with Guest Speaker Randi Williams","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EAbstract\u003C\/span\u003E\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\u003E\u003Cspan\u003E\u003Cspan\u003EToday\u0027s youth are growing up surrounded by artificial intelligence (AI) technologies that shape how they learn, work, and play. K12 AI literacy efforts strive to prepare students to navigate the challenges arising from these rapid technological advancements. Although many AI courses utilize programming platforms, virtual agents, and robots to enhance students\u0027 learning, few incorporate AI-powered tools to further support students\u0027 learning. In this talk, I will introduce the AI Tool Scaffolding Framework, which outlines how AI tools can support the development of technical skills, design thinking, and creativity as students engage in hands-on projects. I developed two tools in line with the framework: LevelUp, an automatic code analysis tool, and Sparki, a GPT-powered interactive companion. These tools provide real-time feedback on users\u0027 projects, encouraging best practices in programming and ethical thinking. This work contributes to the broader aim of leveraging educational technology to deepen students\u0027 knowledge, foster critical thinking, and support meaningful engagement, particularly in the context of AI literacy.\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\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EBio\u003C\/span\u003E\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\u003E\u003Cspan\u003ERandi Williams (she\/her) is an educator, tinkerer, and advocate who is passionate about using technology to uplift communities. In 2024, she earned her Ph.D. in the Personal Robots Group at the MIT Media Lab focusing on AI, Human-Computer Interaction, and education research. Before that, she completed her S.M. at the MIT Media Lab and her B.S. in Computer Engineering at the University of Maryland, Baltimore County. Williams\u0027s dissertation focused on designing curricula to teach AI with ethics, empowering students to leverage technology for social change. Williams\u0027s work in social robotics and AI education has earned academic and public acclaim, receiving coverage in outlets such as The Atlantic, Wired, and the MIT Tech Review. Her achievements and commitment to service have been recognized through awards, such as the Microsoft Research Ph.D. Fellowship, the LEGO Papert Fellowship, the NSF Graduate Research Fellowship, and the Cambridge Curious Scientist of the Year Award. She is also a founding co-director of the Boston Chapter of Black in Robotics.\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\u003Cstrong\u003ETalk Title \u2014 Conceptualizing Tools for the Future of Education with AI\u003C\/strong\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Talk Title \u2014 Conceptualizing Tools for the Future of Education with AI"}],"uid":"36530","created_gmt":"2024-03-27 15:53:50","changed_gmt":"2024-03-28 14:57:46","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-04-04T11:00:00-04:00","event_time_end":"2024-04-04T12:00:00-04:00","event_time_end_last":"2024-04-04T12:00:00-04:00","gmt_time_start":"2024-04-04 15:00:00","gmt_time_end":"2024-04-04 16:00:00","gmt_time_end_last":"2024-04-04 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"IC Cafe, Technology Square Research Building, 2nd Floor","extras":[],"hg_media":{"673512":{"id":"673512","type":"image","title":"Williams_Randi.jpg","body":null,"created":"1711554836","gmt_created":"2024-03-27 15:53:56","changed":"1711554836","gmt_changed":"2024-03-27 15:53:56","alt":"Randi Williams","file":{"fid":"256914","name":"Williams_Randi.jpg","image_path":"\/sites\/default\/files\/2024\/03\/27\/Williams_Randi.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/03\/27\/Williams_Randi.jpg","mime":"image\/jpeg","size":179259,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/03\/27\/Williams_Randi.jpg?itok=yP5bgT2D"}}},"media_ids":["673512"],"groups":[{"id":"47223","name":"College of Computing"},{"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":""}},"673798":{"#nid":"673798","#data":{"type":"event","title":"College of Computing Registration Day","body":[{"value":"\u003Cp\u003ECollege of Computing Registration Day. This is event is being sponsored by the College of Computing Advising to help students prepare for registration.\u003C\/p\u003E\r\n\r\n\u003Cdiv\u003EAs we approach Summer 2024 and Fall 2024 Registration this a great event where you can come and meet with various campus partners such as VIP, Create X, Research Ambassadors, etc., in order to get questions answered as you plan your schedule for the next few semesters. Free refreshments and swag will be provided!\u003C\/div\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ECollege of Computing Registration Day. This is event is being sponsored by the College of Computing Advising to help students prepare for registration.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"College of Computing Registration Day. This is event is being sponsored by the College of Computing Advising to help students prepare for registration."}],"uid":"27469","created_gmt":"2024-03-28 01:17:08","changed_gmt":"2024-03-28 01:18:50","author":"Kristen Bailey","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-04-03T11:00:00-04:00","event_time_end":"2024-04-03T12:30:00-04:00","event_time_end_last":"2024-04-03T12:30:00-04:00","gmt_time_start":"2024-04-03 15:00:00","gmt_time_end":"2024-04-03 16:30:00","gmt_time_end_last":"2024-04-03 16:30:00","rrule":null,"timezone":"America\/New_York"},"location":"1116 East \u0026 West Rooms (inside first floor Klaus Atrium)","extras":["free_food","freebies"],"groups":[{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAntwuan Holloway\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:antwuan.holloway@cc.gatech.edu\u0022 title=\u0022mailto:antwuan.holloway@cc.gatech.edu\u0022\u003Eantwuan.holloway@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"673754":{"#nid":"673754","#data":{"type":"event","title":"IC Spring Seminar Series with Guest Speaker Omar Khattab","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIt is now easy to build impressive demos with language models (LMs) but turning these into reliable systems currently requires brittle combinations of prompting, chaining, and finetuning LMs. I will present LM programming, a systematic way to address this by defining and improving three layers of the LM stack. I start with how to adapt LMs to search for information most effectively (ColBERT) and how to scale such search to billions of tokens (PLAID). I then discuss the right architectures and supervision strategies (e.g., ColBERT-QA, Baleen, Hindsight) for allowing LMs to retrieve and cite verifiable sources in their responses. This leads to DSPy, a programming model that introduces composable modules for building and automatically supervising controllable programs built with LMs. Even simple systems expressed in DSPy routinely outperform large standalone LMs and standard hand-crafted prompting pipelines, in some cases while using only small models. I highlight how ColBERT and DSPy have sparked applications at dozens of leading tech companies and academic labs. I then conclude by discussing how DSPy enables a new degree of research modularity around LMs, one that stands to allow open research to again lead the development of AI systems.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOmar is a fifth-year CS Ph.D. candidate at Stanford NLP, whose work spans Natural Language Processing (NLP), Information Retrieval (IR), and Machine Learning (ML) Systems. His research creates models, supervision strategies, and programming abstractions for building reliable, transparent, and scalable NLP systems. Omar is the author of the ColBERT retrieval model, which has helped shape the modern landscape of neural information retrieval. His lines of work on ColBERT and DSPy form the basis of influential open-source projects, exceeding 600,000 downloads per month, and have sparked applications at Google, Amazon, IBM, VMware, Databricks, Baidu, AliExpress, and numerous startups. Omar\u0027s Ph.D. has been supported by the Eltoukhy Family Graduate Fellowship and the Apple Scholars in AI\/ML PhD Fellowship.\u0026nbsp;\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cbr \/\u003E\r\nTalk Title \u2014 Building More Reliable and Scalable AI Systems with Language Model Programming\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":" Talk Title \u2014 Building More Reliable and Scalable AI Systems with Language Model Programming"}],"uid":"36530","created_gmt":"2024-03-26 15:10:57","changed_gmt":"2024-03-26 15:12:14","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-04-02T11:00:00-04:00","event_time_end":"2024-04-02T12:00:00-04:00","event_time_end_last":"2024-04-02T12:00:00-04:00","gmt_time_start":"2024-04-02 15:00:00","gmt_time_end":"2024-04-02 16:00:00","gmt_time_end_last":"2024-04-02 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"IC Cafe, Technology Square Research Building, 2nd Floor","extras":[],"hg_media":{"673489":{"id":"673489","type":"image","title":"Khattab_Omar.jpg","body":null,"created":"1711465877","gmt_created":"2024-03-26 15:11:17","changed":"1711465877","gmt_changed":"2024-03-26 15:11:17","alt":"Omar Khattab","file":{"fid":"256888","name":"Khattab_Omar.jpg","image_path":"\/sites\/default\/files\/2024\/03\/26\/Khattab_Omar.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/03\/26\/Khattab_Omar.jpg","mime":"image\/jpeg","size":32071,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/03\/26\/Khattab_Omar.jpg?itok=TUAqMSnR"}}},"media_ids":["673489"],"groups":[{"id":"47223","name":"College of Computing"},{"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":""}},"673526":{"#nid":"673526","#data":{"type":"event","title":"IC Spring Seminar Series with Guest Speaker Zhuang Liu","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EAbstract\u003C\/span\u003E\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\u003E\u003Cspan\u003E\u003Cspan\u003EDeep learning with neural networks has emerged as a key approach for discovering patterns and modeling relationships in complex data. AI systems powered by deep learning are used widely in applications across a broad spectrum of scales. There have been strong needs for scaling deep learning both upward and downward. Scaling up highlights the pursuit of scalability \u2014 the ability to utilize increasingly abundant computing and data resources to achieve superior capabilities, overcoming diminishing returns. Scaling down represents the demand for efficiency \u2014 there is limited data for many application domains, and deployment is often in compute-limited settings. My research focuses on scaling deep learning both up and down, to build capable models and understand their behaviors in different computational and data environments.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nIn this talk, we will present several studies in both directions. For scaling up, we will first explore the design of scalable neural network architectures that are widely adopted in various applications. We then discuss an intriguing observation on modern vision datasets and its implication on scaling training data. For scaling down, we introduce simple, effective, and popularly used approaches for compressing convolutional networks and large language models, alongside interesting empirical findings. Notably, a recurring theme in this talk is the careful examination of implicit assumptions in the literature, which often leads to surprising revelations that reshape community understanding. We conclude with exciting avenues for future deep learning and vision research, such as next-gen architectures and dataset modeling.\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\u003Cstrong\u003E\u003Cspan\u003EBio\u003C\/span\u003E\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\u003E\u003Cspan\u003E\u003Cspan\u003EZhuang\u003C\/span\u003E\u003C\/span\u003E\u0026nbsp;\u003Cspan\u003E\u003Cspan\u003ELiu\u003C\/span\u003E\u003C\/span\u003E\u0026nbsp;\u003Cspan\u003E\u003Cspan\u003Ereceived his Ph.D. in Computer Science from UC Berkeley in 2022, advised by Trevor Darrell. He is currently a Research Scientist at Meta AI Research in New York City. He has broad research interests in Machine Learning, Deep Learning, and Computer Vision. His work focuses on scaling neural networks both up and down, to build capable models and understand their behaviors in different computational and data environments. He is a recipient of the CVPR 2017 Best Paper Award.\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\u003E\u003Cstrong\u003ETalk Title \u2014 Scaling Deep Learning Up and Down\u003C\/strong\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Talk Title \u2014 Scaling Deep Learning Up and Down"}],"uid":"36530","created_gmt":"2024-03-14 15:21:56","changed_gmt":"2024-03-14 15:22:20","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-28T11:00:00-04:00","event_time_end":"2024-03-28T12:00:00-04:00","event_time_end_last":"2024-03-28T12:00:00-04:00","gmt_time_start":"2024-03-28 15:00:00","gmt_time_end":"2024-03-28 16:00:00","gmt_time_end_last":"2024-03-28 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"IC Cafe, Technology Square Research Building, 2nd Floor","extras":[],"hg_media":{"673397":{"id":"673397","type":"image","title":"Liu_Zhuang.jpg","body":null,"created":"1710429695","gmt_created":"2024-03-14 15:21:35","changed":"1710429677","gmt_changed":"2024-03-14 15:21:17","alt":"Zhuang Liu","file":{"fid":"256790","name":"Liu_Zhuang.jpg","image_path":"\/sites\/default\/files\/2024\/03\/14\/Liu_Zhuang.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/03\/14\/Liu_Zhuang.jpg","mime":"image\/jpeg","size":336730,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/03\/14\/Liu_Zhuang.jpg?itok=7SHlXhQ7"}}},"media_ids":["673397"],"groups":[{"id":"47223","name":"College of Computing"},{"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":""}},"673525":{"#nid":"673525","#data":{"type":"event","title":"IC Spring Seminar Series with Guest Speaker Shunyu Yao","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EAbstract\u003C\/span\u003E\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\u003E\u003Cspan\u003E\u003Cspan\u003ELarge language models (LLMs) have revolutionized natural language processing, but they are trained to generate text, not to act or interface with the world. In this talk, I will introduce \u201clanguage agents\u201d, a new kind of autonomous agents that I helped invent to ground LLMs for sequential decision-making in various digital and physical environments. First, to develop language agents, I will talk about my methods that connect LLM reasoning to three fundamental concepts for autonomous agents: acting (ReAct), learning (Reflexion), and planning (Tree of Thoughts). These connections empower language agents to adapt and generalize to various new environments in ways previously unattainable by traditional agents, and also augment LLM reasoning to be more grounded and deliberate. Next, to evaluate language agents, I will discuss my work in initiating a new type of AI benchmarks based on large-scale, real-world digital applications, such as online shopping (WebShop) and software engineering (SWE-Bench). Solving these tasks presents great challenges for today\u2019s language models and agents, while providing tremendous opportunities for automating tedious digital labor and improving our life. Lastly, I will connect\u0026nbsp;today\u2019s language agents to the classical research of Cognitive Architectures, and present a theoretical framework to make sense of the recent empirical progress and point out future directions toward more general-purpose language agents.\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\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EBio\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\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShunyu\u0026nbsp;Yao\u0026nbsp;is a final-year PhD candidate and Harold W. Dodds Fellow at Princeton University, advised by Karthik Narasimhan. His research takes interdisciplinary inspiration from natural language processing, reinforcement learning, and cognitive science, and has contributed to the establishment of language agents, a new type of autonomous agents based on large language models. His works such as ReAct and Tree of Thoughts have been recognized as orals at ICLR and NeurIPS, with widespread impact across academia and industry. Previously, he graduated from\u0026nbsp;Yao\u0026nbsp;Class at Tsinghua University, and researched at Google, Microsoft, and MIT.\u0026nbsp;\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title \u2014 Language Agents: From Next Token Prediction to\u0026nbsp;Digital Automation\u003C\/strong\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Talk Title \u2014 Language Agents: From Next Token Prediction to Digital Automation"}],"uid":"36530","created_gmt":"2024-03-14 15:17:38","changed_gmt":"2024-03-14 15:17:38","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-26T11:00:00-04:00","event_time_end":"2024-03-26T12:00:00-04:00","event_time_end_last":"2024-03-26T12:00:00-04:00","gmt_time_start":"2024-03-26 15:00:00","gmt_time_end":"2024-03-26 16:00:00","gmt_time_end_last":"2024-03-26 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"IC Cafe, Technology Square Research Building, 2nd Floor","extras":[],"hg_media":{"673396":{"id":"673396","type":"image","title":"Yao_Shunyu.jpeg","body":null,"created":"1710429422","gmt_created":"2024-03-14 15:17:02","changed":"1710429381","gmt_changed":"2024-03-14 15:16:21","alt":"Shunyu Yao","file":{"fid":"256789","name":"Yao_Shunyu.jpeg","image_path":"\/sites\/default\/files\/2024\/03\/14\/Yao_Shunyu.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/03\/14\/Yao_Shunyu.jpeg","mime":"image\/jpeg","size":186316,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/03\/14\/Yao_Shunyu.jpeg?itok=K4olsJl_"}}},"media_ids":["673396"],"groups":[{"id":"47223","name":"College of Computing"},{"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":""}},"673514":{"#nid":"673514","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Yuzhe Yang","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EYuzhe Yang, Ph.D. student at \u003Cspan\u003E\u003Cspan\u003EMassachusetts Institute of Technology\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, March 28, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, First Floor, Room 114 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003ECoffee, drinks, and snacks provided!\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ELearning to Assess Disease and Health in Your Home\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Today\u0027s clinical systems frequently exhibit delayed diagnoses, sporadic patient visits, and unequal access to care. Can we identify chronic diseases earlier, potentially before they manifest clinically? Furthermore, can we bring comprehensive medical assessments into patient\u2019s own homes to ensure accessible care for all? In this talk, I will present machine learning methods to bridge the persistent gaps in medical discovery, delivery, and equity. I will first introduce an AI-powered digital biomarker that detects Parkinson\u2019s disease multiple years before clinical diagnosis, using just nocturnal breathing signals. I will then discuss a simple self-supervised framework for contactless measurement of human vital signs using smartphones. Finally, I will discuss the potential of AI to realize passive, longitudinal, and in-home tracking of disease severity, progression, and medication response.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EYuzhe Yang is a Ph.D. candidate at MIT. His research interests include machine learning and AI for human diseases, health and medicine. His research has been published in Nature Medicine, Science Translational Medicine, NeurIPS, ICML, and ICLR, and featured in media outlets such as WSJ, Forbes, and BBC. He is a recipient of the Rising Stars in Data Science, and PhD fellowships from MathWorks and Takeda. His work has been deployed in hospitals including MGH and Mayo Clinic, and in patients\u2019 homes for passive health monitoring, and has been adopted in clinical trials for drug and biomarker discovery across various diseases.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EYuzhe Yang, Ph.D. student at \u003Cspan\u003E\u003Cspan\u003EMassachusetts Institute of Technology\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, March 28, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, First Floor, Room 114 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ELearning to Assess Disease and Health in Your Home\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Learning to Assess Disease and Health in Your Home"}],"uid":"36319","created_gmt":"2024-03-13 17:18:39","changed_gmt":"2024-03-13 17:18:38","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-28T11:00:00-04:00","event_time_end":"2024-03-28T12:00:00-04:00","event_time_end_last":"2024-03-28T12:00:00-04:00","gmt_time_start":"2024-03-28 15:00:00","gmt_time_end":"2024-03-28 16:00:00","gmt_time_end_last":"2024-03-28 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":["free_food"],"hg_media":{"673382":{"id":"673382","type":"image","title":"Yuzhe Yang headshot.jpg","body":null,"created":"1710350251","gmt_created":"2024-03-13 17:17:31","changed":"1710350229","gmt_changed":"2024-03-13 17:17:09","alt":"CSE Yuzhe Yang","file":{"fid":"256770","name":"Yuzhe Yang headshot.jpg","image_path":"\/sites\/default\/files\/2024\/03\/13\/Yuzhe%20Yang%20headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/03\/13\/Yuzhe%20Yang%20headshot.jpg","mime":"image\/jpeg","size":297973,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/03\/13\/Yuzhe%20Yang%20headshot.jpg?itok=wUN3uzYt"}}},"media_ids":["673382"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"},{"id":"78761","name":"Faculty\/Staff"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr \/\u003E\r\nmhigh7@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"673456":{"#nid":"673456","#data":{"type":"event","title":"International Conference On Preconditioning Techniques For Scientific and Industrial Applications (Precond 24)","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EWe are thrilled to announce the \u003Cstrong\u003EInternational Conference on Preconditioning Techniques For Scientific and Industrial Applications (Precond24) \u003C\/strong\u003Ehas been scheduled for \u003Cstrong\u003EJune 10-12, 2024\u003C\/strong\u003E, at \u003Cstrong\u003EGeorgia Institute of Technology, Atlanta, USA\u003C\/strong\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\u003EThis conference will delve into the evolving field of preconditioning, with a special focus on its intersection with Machine Learning (ML). As the trend towards ML accelerates, understanding its impact on preconditioning and how we can adapt our research is crucial. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\ud83d\ude80\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\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EWhat\u0027s on Offer?\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003EPanel Discussion on ML + Preconditioning:\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;Engage with leading experts as they explore future opportunities and tackle the challenges at the confluence of ML and preconditioning research.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003ENetworking Opportunities:\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;Connect with peers, industry leaders, and pioneering researchers.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003ESupport for Junior Researchers:\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;We\u0027re offering partial travel support to help junior researchers (students and recent PhDs) attend. A fantastic opportunity to immerse yourself in cutting-edge discussions!\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EKey Dates:\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003ETalk and Minisymposia Submissions:\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;Open until April 29, 2024.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003ERegistration Deadline:\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;May 4, 2024.\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003EPartial Travel Support Application Deadline:\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;March 24, 2024.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\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\u003EDon\u0027t miss this chance to contribute to and learn from the discussions shaping the future of preconditioning.\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\u003EFor more details and to register, visit our website: \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003Ca href=\u0022https:\/\/www.math.emory.edu\/~yxi26\/Precond24\u0022\u003E\u003Cspan\u003E\u003Cspan\u003Ehttps:\/\/www.math.emory.edu\/~yxi26\/Precond24\u003C\/span\u003E\u003C\/span\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\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EWe are thrilled to announce the \u003Cstrong\u003EInternational Conference on Preconditioning Techniques For Scientific and Industrial Applications (Precond24) \u003C\/strong\u003Ehas been scheduled for \u003Cstrong\u003EJune 10-12, 2024\u003C\/strong\u003E, at \u003Cstrong\u003EGeorgia Institute of Technology, Atlanta, USA\u003C\/strong\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\u003EThis conference will delve into the evolving field of preconditioning, with a special focus on its intersection with Machine Learning (ML). As the trend towards ML accelerates, understanding its impact on preconditioning and how we can adapt our research is crucial.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The School of Computational Science and Engineering is a sponsor of Precond24, occurring June 10-12"}],"uid":"36319","created_gmt":"2024-03-11 18:21:04","changed_gmt":"2024-03-11 18:21:03","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-06-10T00:00:00-04:00","event_time_end":"2024-06-12T23:59:59-04:00","event_time_end_last":"2024-06-12T23:59:59-04:00","gmt_time_start":"2024-06-10 04:00:00","gmt_time_end":"2024-06-13 03:59:59","gmt_time_end_last":"2024-06-13 03:59:59","rrule":null,"timezone":"America\/New_York"},"location":"Klaus Advanced Computing Building","extras":[],"hg_media":{"621154":{"id":"621154","type":"image","title":"Binary Bridge","body":null,"created":"1556674877","gmt_created":"2019-05-01 01:41:17","changed":"1556674877","gmt_changed":"2019-05-01 01:41:17","alt":"Binary Bridge between Klaus \u0026 College of Computing","file":{"fid":"236612","name":"Georgia Tech, Binary Bridge (1).jpg","image_path":"\/sites\/default\/files\/images\/Georgia%20Tech%2C%20Binary%20Bridge%20%281%29.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Georgia%20Tech%2C%20Binary%20Bridge%20%281%29.jpg","mime":"image\/jpeg","size":754289,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Georgia%20Tech%2C%20Binary%20Bridge%20%281%29.jpg?itok=f2-V3Tr2"}}},"media_ids":["621154"],"related_links":[{"url":"https:\/\/www.math.emory.edu\/~yxi26\/Precond24\/","title":"Precond24"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"654","name":"College of Computing"},{"id":"9167","name":"machine learning"},{"id":"2556","name":"artificial intelligence"},{"id":"192863","name":"go-ai"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1789","name":"Conference\/Symposium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"673417":{"#nid":"673417","#data":{"type":"event","title":"Conversations \u0026 Belonging","body":[{"value":"\u003Cp\u003EThe College of Computing is hosting a session for students called Conversations and Belonging. The session is set for March 13 at 6 p.m. and is being held in the Student Center, Northside Room. Free food is being provided.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe College of Computing is hosting a session for students called Conversations and Belonging. The session is set for March 13.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The College of Computing is hosting a session for students called Conversations and Belonging."}],"uid":"32045","created_gmt":"2024-03-08 18:27:40","changed_gmt":"2024-03-08 18:27:39","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-13T18:00:00-04:00","event_time_end":"2024-03-13T19:00:00-04:00","event_time_end_last":"2024-03-13T19:00:00-04:00","gmt_time_start":"2024-03-13 22:00:00","gmt_time_end":"2024-03-13 23:00:00","gmt_time_end_last":"2024-03-13 23:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Student Center, Northside Room","extras":["free_food"],"hg_media":{"673344":{"id":"673344","type":"image","title":"Conversations and Belonging (1) copy.jpeg","body":null,"created":"1709915364","gmt_created":"2024-03-08 16:29:24","changed":"1709915298","gmt_changed":"2024-03-08 16:28:18","alt":"Conversations and Belonging workshop flyer","file":{"fid":"256728","name":"Conversations and Belonging (1) copy.jpeg","image_path":"\/sites\/default\/files\/2024\/03\/08\/Conversations%20and%20Belonging%20%281%29%20copy.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/03\/08\/Conversations%20and%20Belonging%20%281%29%20copy.jpeg","mime":"image\/jpeg","size":487808,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/03\/08\/Conversations%20and%20Belonging%20%281%29%20copy.jpeg?itok=eBidHmYN"}}},"media_ids":["673344"],"groups":[{"id":"47223","name":"College of 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":""}},"673307":{"#nid":"673307","#data":{"type":"event","title":"Distance Learning: Lessons from the Remote Confines of a Simulated NASA Spacecraft","body":[{"value":"\u003Cp\u003ELessons learned from participation in a NASA simulated Mars mission can inform how we interact with our professional colleagues, fellow students, and navigate interpersonal issues in everyday life.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBio: Russ Klvacek, from Salt Lake City, Utah, works as a machine learning engineer at the SAIC AI Innovation Factory. Previously, he was a data scientist for an aerospace composites manufacturer, for which he developed various models to describe material strength, predict and preempt machine failure, and forecast business processes. Russ is an OMSCS grad as of 2020 and current TA for ISyE 6501. In his free time, Russ enjoys hiking and frequenting coffee shops, playing board games, and finding new ways to approximate being an astronaut.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003ERSVP Here:\u003Cspan\u003E\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_0NYJY08a5W8XqCi\u0022\u003Ehttps:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_0NYJY08a5W8XqCi\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ELessons learned from participation in a NASA simulated Mars mission can inform how we interact with our professional colleagues, fellow students, and navigate interpersonal issues in everyday life.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Lessons learned from participation in a NASA simulated Mars mission can inform how we interact with our professional colleagues, fellow students, and navigate interpersonal issues in everyday life."}],"uid":"27469","created_gmt":"2024-03-04 16:42:06","changed_gmt":"2024-03-06 21:36:50","author":"Kristen Bailey","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-25T21:00:00-04:00","event_time_end":"2024-03-25T22:00:00-04:00","event_time_end_last":"2024-03-25T22:00:00-04:00","gmt_time_start":"2024-03-26 01:00:00","gmt_time_end":"2024-03-26 02:00:00","gmt_time_end_last":"2024-03-26 02:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Online","extras":[],"related_links":[{"url":"https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_0NYJY08a5W8XqCi","title":"RSVP to attend"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1182","name":"General"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"},{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDr. Ana Mary Rusch\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:ARusch3@gatech.edu\u0022 title=\u0022mailto:ARusch3@gatech.edu\u0022\u003EARusch3@gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"673221":{"#nid":"673221","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Chirag Agarwal","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EChirag Agarwal, postdoctoral fellow at Harvard University\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, March 7, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business Building, 1st Floor, Room 102 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/z38Acce9jVFdDnVKA\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003ETrustworthy ML in the Era of Foundation Models\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Machine learning (ML) models have become ubiquitous in the last decade, and with their increasing use in critical applications (e.g., healthcare, financial systems, and crime forecasting), it is vital to ensure that ML developers and practitioners understand and trust their decisions. This problem has become paramount in the era of Foundation models, which are developed by training billion parameter models using broad uncurated datasets and great computing. In this talk, I will explore key connections between different Trustworthy properties, which currently exist in dedicated silos, and their implications on the training, inference, and evaluation stages of the machine learning model pipeline: First, I will discuss NIFTY, the first trustworthy training algorithm that enables learning accurate, fair, and stable representations for high-stakes applications. Second, I will describe DeAR, a novel framework to incorporate trustworthiness properties during inference in foundation models when we do not have access to model architecture or weights. Finally, I will discuss my benchmarking efforts in explainability research for structured and unstructured data.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Chirag Agarwal is a postdoctoral fellow at Harvard University. His research interests include developing trustworthy machine learning frameworks for scalable and reliable models focusing on explainability, robustness, fairness, and privacy. He has authored in top-tier machine learning and computer vision conferences and leading scientific journals. His research has received Spotlight and Oral presentations at NeurIPS, ICML, CVPR, and ICIP. His work has been used to understand industry-scale models in Amazon, and have received industrial grants from Adobe, Microsoft, and Google.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EChirag Agarwal, postdoctoral fellow at Harvard University\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, March 7, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business Building, 1st Floor, Room 102 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/z38Acce9jVFdDnVKA\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003ETrustworthy ML in the Era of Foundation Models\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Trustworthy ML in the Era of Foundation Models"}],"uid":"36319","created_gmt":"2024-02-27 19:43:21","changed_gmt":"2024-03-06 15:12:30","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-07T11:00:00-05:00","event_time_end":"2024-03-07T12:00:00-05:00","event_time_end_last":"2024-03-07T12:00:00-05:00","gmt_time_start":"2024-03-07 16:00:00","gmt_time_end":"2024-03-07 17:00:00","gmt_time_end_last":"2024-03-07 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Scheller, Room 102","extras":["free_food"],"hg_media":{"673237":{"id":"673237","type":"image","title":"Chirag Agarwal.png","body":null,"created":"1709062942","gmt_created":"2024-02-27 19:42:22","changed":"1709062929","gmt_changed":"2024-02-27 19:42:09","alt":"Chirag Agarwal CSE","file":{"fid":"256599","name":"Chirag Agarwal.png","image_path":"\/sites\/default\/files\/2024\/02\/27\/Chirag%20Agarwal.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/27\/Chirag%20Agarwal.png","mime":"image\/png","size":579171,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/27\/Chirag%20Agarwal.png?itok=tt0C2rcL"}}},"media_ids":["673237"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr \/\u003E\r\nmhigh7@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"673372":{"#nid":"673372","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Lu Mi","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ELu Mi, \u003Cspan\u003E\u003Cspan\u003EShanahan Foundation Fellow at the Allen Institute for Brain Science, University of Washington\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, March 14, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business Building, 1st Floor, Room 102 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/z38Acce9jVFdDnVKA\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EAccelerating Scientific Discovery in the Brain with Machine Learning\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E The inner workings of the brain are complicate and mysterious, and understanding these mechanisms has significant implications for healthcare and artificial intelligence. Recent technological advancements have enabled the study of the brain at single-cell resolution, utilizing multi-modal neural data, including genomics, synaptic connectivity, neuronal activities, and animal behaviors. However, the mammalian brain\u2019s vast scale, ranging from millions to billions of neurons, presents a challenge in developing generalizable and scalable solutions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMy research focuses on the AI-driven paradigm to overcome these challenges and accelerate biological and scientific discoveries in the brain. My contributions can be broadly classified into three main categories: (1) The use of advanced machine learning tools to create fast and scalable automatic imaging pipelines. This includes developing active acquisition pipelines to speed up electron microscope imaging data collection, and designing parallel, scalable algorithms for automatic reconstruction of nanoscale synaptic connectivity; (2) The development of generalizable and interpretable frameworks to understand brain function using multi-modal neural data. My work uses artificial neural networks as expressive solutions to predict complex neural dynamics, and learning representations that allow in-vivo identification of genetically identified cell types and connectivity. By integrating mechanistic models from neuroscience as biophysics priors, we could infer unmeasured information and allow testing various hypotheses; (3) The application of machine learning for guiding experimental designs. This involves using active learning to design optimal stimulation patterns that generates most informative data for system identifications.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELooking forward, my future work aims to develop foundation models in neuroscience for data-driven discovery. Meanwhile, extending from understanding brain functions, I am interested to explore healthcare applications and develop brain-inspired AI frameworks, and bridge the gap between artificial and biological neural networks.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Lu Mi is a Shanahan Foundation Fellow at the Allen Institute for Brain Science and the University of Washington where she collaborates with multiple investigators, including Dr. Uygar S\u00fcmb\u00fcl, Prof. Matt Golub, Prof. Edgar Walker, and Prof. Eric Shea-Brown. She earned her Ph.D. degree in Computer Science from MIT in 2022, advised by Prof. Nir Shavit. Concurrently, she was a fellow in the Center for Brain Science at Harvard University from 2020 to 2022. She received a bachelor\u2019s degree from Tsinghua University. Her research lies at the intersection of natural intelligence and artificial intelligence. She mainly focuses on building fast and scalable automatic brain imaging pipelines. And by leveraging artificial neural networks, she aims to understand the mechanisms of coding, computation, and learning within biological neural networks, using multi-modal neural data. Her research is recognized with several honors, including the MathWorks Fellowship, Shanahan Foundation Fellowship, and an NIH award. She was selected as Rising Stars in EECS in 2022 and her work has been featured in MIT News and Forbes.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ELu Mi, \u003Cspan\u003E\u003Cspan\u003EShanahan Foundation Fellow at the Allen Institute for Brain Science, University of Washington\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, March 14, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business Building, 1st Floor, Room 102 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/z38Acce9jVFdDnVKA\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EAccelerating Scientific Discovery in the Brain with Machine Learning\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Accelerating Scientific Discovery in the Brain with Machine Learning"}],"uid":"36319","created_gmt":"2024-03-06 15:12:12","changed_gmt":"2024-03-06 15:12:10","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-14T11:00:00-04:00","event_time_end":"2024-03-14T12:00:00-04:00","event_time_end_last":"2024-03-14T12:00:00-04:00","gmt_time_start":"2024-03-14 15:00:00","gmt_time_end":"2024-03-14 16:00:00","gmt_time_end_last":"2024-03-14 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Scheller, Room 102","extras":[],"hg_media":{"673320":{"id":"673320","type":"image","title":"Lu Mi Headshot.jpg","body":null,"created":"1709737878","gmt_created":"2024-03-06 15:11:18","changed":"1709737863","gmt_changed":"2024-03-06 15:11:03","alt":"CSE Lu Mi","file":{"fid":"256702","name":"Lu Mi Headshot.jpg","image_path":"\/sites\/default\/files\/2024\/03\/06\/Lu%20Mi%20Headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/03\/06\/Lu%20Mi%20Headshot.jpg","mime":"image\/jpeg","size":136697,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/03\/06\/Lu%20Mi%20Headshot.jpg?itok=818bXs_O"}}},"media_ids":["673320"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr \/\u003E\r\nmhigh7@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"673368":{"#nid":"673368","#data":{"type":"event","title":"Maximizing the OMSCS Program for Your Professional Career","body":[{"value":"\u003Cp\u003EThis presentation aims to show students how to get the most out of the \u003Ca href=\u0022https:\/\/omscs.gatech.edu\u0022\u003EOMSCS program\u003C\/a\u003E\u0026nbsp;for their professional growth. Topics covered will be as follows:\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EChoosing courses and specializations for your career growth or career shift\u003C\/li\u003E\r\n\t\u003Cli\u003EBuilding your network and friendships with other students remotely\u003C\/li\u003E\r\n\t\u003Cli\u003EExtracurricular activities in OMSCS\u003C\/li\u003E\r\n\t\u003Cli\u003EOMSCS after you graduate\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EBiography: I\u0027m a Software Engineer and Researcher with more than 7 years of experience in Full Stack Development. Currently, I work at Samsung Research developing internal tools that are used by multiple teams across the globe and developing patents relating to 5G, and Mixed Reality.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERSVP here:\u0026nbsp;\u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_0Oi75upqQmKadGC\u0022\u003Ehttps:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_0Oi75upqQmKadGC\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis presentation aims to show students how to get the most out of the OMSCS program for their professional growth.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"This presentation aims to show students how to get the most out of the OMSCS program for their professional growth."}],"uid":"27469","created_gmt":"2024-03-06 01:51:59","changed_gmt":"2024-03-06 01:51:58","author":"Kristen Bailey","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-19T10:00:00-04:00","event_time_end":"2024-03-19T11:00:00-04:00","event_time_end_last":"2024-03-19T11:00:00-04:00","gmt_time_start":"2024-03-19 14:00:00","gmt_time_end":"2024-03-19 15:00:00","gmt_time_end_last":"2024-03-19 15:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Online","extras":[],"related_links":[{"url":"https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_0Oi75upqQmKadGC","title":"RSVP to Attend"}],"groups":[{"id":"1182","name":"General"},{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDr. Ana Mary Rusch\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:ARusch3@gatech.edu\u0022 title=\u0022mailto:ARusch3@gatech.edu\u0022\u003EARusch3@gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"673331":{"#nid":"673331","#data":{"type":"event","title":"College of Computing Dean Finalist 4 Seminar","body":[{"value":"\u003Cp\u003EThe talk will take place at 11 a.m. in Klaus 1116E\/W. If you cannot attend in person, please register at the links below to attend virtually. \u003Ca href=\u0022https:\/\/gatech.zoom.us\/webinar\/register\/WN_S7RiUz9WSfmDu8HK0YMiPg#\/registration\u0022\u003Ehttps:\/\/gatech.zoom.us\/webinar\/register\/WN_S7RiUz9WSfmDu8HK0YMiPg#\/registration\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMore information: \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/deans-search\u0022\u003Ehttps:\/\/www.cc.gatech.edu\/deans-search\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe talk will take place at 11 a.m. in Klaus 1116E\/W.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The talk will take place at 11 a.m. in Klaus 1116E\/W."}],"uid":"27469","created_gmt":"2024-03-05 16:44:20","changed_gmt":"2024-03-05 16:44:20","author":"Kristen Bailey","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-12T11:00:00-04:00","event_time_end":"2024-03-12T11:30:00-04:00","event_time_end_last":"2024-03-12T11:30:00-04:00","gmt_time_start":"2024-03-12 15:00:00","gmt_time_end":"2024-03-12 15:30:00","gmt_time_end_last":"2024-03-12 15:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Rooms 1116 East and West","extras":[],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/deans-search","title":"More Information"},{"url":"https:\/\/gatech.zoom.us\/webinar\/register\/WN_S7RiUz9WSfmDu8HK0YMiPg#\/registration","title":"Attend Virtually"}],"groups":[{"id":"1182","name":"General"},{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAshley Mastin\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Ca href=\u0022mailto:mastin@gatech.edu\u0022\u003E\u003Cspan\u003Emastin@gatech.edu\u003C\/span\u003E\u003C\/a\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"673321":{"#nid":"673321","#data":{"type":"event","title":"IC Spring Seminar with Guest Speaker Micah Goldblum","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EAbstract\u003C\/span\u003E\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\u003E\u003Cspan\u003E\u003Cspan\u003EDespite the widespread proliferation of neural networks, the mechanisms through which they operate so successfully are not well understood. In this talk, we will first explore empirical and theoretical investigations into neural network training and generalization and what they can tell us about why deep learning works.\u0026nbsp;Then, we will examine a recent line of work on algorithm learning.\u0026nbsp;While neural networks typically excel at pattern matching tasks, we consider whether neural networks can learn algorithms that scale to problem instances orders of magnitude larger than those seen during training.\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\u0026nbsp;\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\u003Cspan\u003EBio\u003C\/span\u003E\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\u003E\u003Cspan\u003E\u003Cspan\u003EMicah\u003C\/span\u003E\u003C\/span\u003E\u0026nbsp;\u003Cspan\u003E\u003Cspan\u003EGoldblum\u003C\/span\u003E\u003C\/span\u003E\u0026nbsp;\u003Cspan\u003E\u003Cspan\u003Eis a postdoctoral researcher at New York University with Yann LeCun and Andrew Gordon Wilson.\u0026nbsp;His research portfolio includes award winning work in Bayesian inference, generalization theory, algorithmic reasoning, and AI security and privacy.\u0026nbsp;Micah\u2019s paper on model comparison received the Outstanding Paper Award at ICML 2022. Before his current position, he received a Ph.D. in mathematics at the University of Maryland where he worked with Tom Goldstein and Wojciech Czaja.\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\u003E\u003Cstrong\u003ETalk Title \u2014 Bridging The Gap Between Deep Learning Theory and Practice\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Talk Title \u2014 Bridging The Gap Between Deep Learning Theory and Practice "}],"uid":"36530","created_gmt":"2024-03-05 13:17:58","changed_gmt":"2024-03-05 13:17:58","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-14T11:00:00-04:00","event_time_end":"2024-03-14T12:00:00-04:00","event_time_end_last":"2024-03-14T12:00:00-04:00","gmt_time_start":"2024-03-14 15:00:00","gmt_time_end":"2024-03-14 16:00:00","gmt_time_end_last":"2024-03-14 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"IC Cafe, Technology Square Research Building, 2nd Floor","extras":[],"hg_media":{"673297":{"id":"673297","type":"image","title":"Goldblum_Micah.jpg","body":null,"created":"1709644629","gmt_created":"2024-03-05 13:17:09","changed":"1709644609","gmt_changed":"2024-03-05 13:16:49","alt":"Micah Goldblum","file":{"fid":"256669","name":"Goldblum_Micah.jpg","image_path":"\/sites\/default\/files\/2024\/03\/05\/Goldblum_Micah.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/03\/05\/Goldblum_Micah.jpg","mime":"image\/jpeg","size":563841,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/03\/05\/Goldblum_Micah.jpg?itok=OX7naGy9"}}},"media_ids":["673297"],"groups":[{"id":"47223","name":"College of Computing"},{"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":""}},"673320":{"#nid":"673320","#data":{"type":"event","title":"IC Spring Seminar Series with Guest Speaker Yilun Du","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EAbstract\u003C\/span\u003E\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\u003E\u003Cspan\u003E\u003Cspan\u003EGenerative AI has led to stunning successes in recent years but is fundamentally limited by the amount\u0026nbsp;of\u0026nbsp;data available.\u0026nbsp;This is especially limiting in the embodied setting \u2013 where an agent must solve new tasks in new environments. In this talk, I\u2019ll introduce the idea\u0026nbsp;of\u0026nbsp;compositional generative modeling, which enables generalization beyond the training data by building complex generative models from smaller constituents. I\u2019ll first introduce the idea\u0026nbsp;of\u0026nbsp;energy-based models and illustrate how they enable compositional generative modeling. I\u2019ll then illustrate how such compositional models enable us to synthesize complex plans for unseen tasks at inference time. Finally, I\u0027ll show how such compositionality can be applied to multiple foundation models trained on various forms\u0026nbsp;of\u0026nbsp;Internet data, enabling us to construct decision-making systems that can hierarchically plan\u0026nbsp;and solve long-horizon problems in a zero-shot manner.\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\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\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\u003Cspan\u003EBio\u003C\/span\u003E\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\u003E\u003Cspan\u003E\u003Cspan\u003EYilun Du is a final year PhD student at MIT CSAIL advised by Leslie Kaelbling, Tomas Lozano-Perez and Joshua Tenenbaum. His research spans the fields of machine learning and robotics, with a focus on generative models. He is supported by the NSF Graduate Research Fellowship and was previously a research fellow at OpenAI, a visiting researcher at FAIR and a student researcher at Google Deepmind.\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\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title \u2014 Generalizing Beyond the Training Distribution Through Compositional Generation\u003C\/strong\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Talk Title \u2014 Generalizing Beyond the Training Distribution Through Compositional Generation"}],"uid":"36530","created_gmt":"2024-03-05 13:12:43","changed_gmt":"2024-03-05 13:12:41","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-12T11:00:00-04:00","event_time_end":"2024-03-12T12:00:00-04:00","event_time_end_last":"2024-03-12T12:00:00-04:00","gmt_time_start":"2024-03-12 15:00:00","gmt_time_end":"2024-03-12 16:00:00","gmt_time_end_last":"2024-03-12 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"IC Cafe, Technology Square Research Building, 2nd Floor","extras":[],"hg_media":{"673296":{"id":"673296","type":"image","title":"Du_Yilun.png","body":null,"created":"1709644314","gmt_created":"2024-03-05 13:11:54","changed":"1709644288","gmt_changed":"2024-03-05 13:11:28","alt":"Yilun Du","file":{"fid":"256668","name":"Du_Yilun.png","image_path":"\/sites\/default\/files\/2024\/03\/05\/Du_Yilun.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/03\/05\/Du_Yilun.png","mime":"image\/png","size":429603,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/03\/05\/Du_Yilun.png?itok=zJ-03w-s"}}},"media_ids":["673296"],"groups":[{"id":"47223","name":"College of Computing"},{"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":""}},"673306":{"#nid":"673306","#data":{"type":"event","title":"Maximizing the OMSCS Program for Your Professional Career","body":[{"value":"\u003Cp\u003EThis presentation aims to show students how to get the most out of the OMSCS program for their professional growth. Topics covered will be as follows:\u003Cspan\u003E\u0026nbsp;\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EChoosing courses and specializations for your career growth or career shift\u003C\/li\u003E\r\n\t\u003Cli\u003EBuilding your network and friendships with other students remotely\u003C\/li\u003E\r\n\t\u003Cli\u003EExtracurricular activities in OMSCS\u003C\/li\u003E\r\n\t\u003Cli\u003EOMSCS after you graduate\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nBiography: I\u0027m a Software Engineer and Researcher with more than 7 years of experience in Full Stack Development. Currently, I work at Samsung Research developing internal tools that are used by multiple teams across the globe and developing patents relating to 5G, and Mixed Reality.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cspan\u003ERSVP Here:\u003Cspan\u003E\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_0Oi75upqQmKadGC\u0022\u003Ehttps:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_0Oi75upqQmKadGC\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis presentation aims to show students how to get the most out of the OMSCS program for their professional growth.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"This presentation aims to show students how to get the most out of the OMSCS program for their professional growth. "}],"uid":"27469","created_gmt":"2024-03-04 16:40:10","changed_gmt":"2024-03-04 16:40:10","author":"Kristen Bailey","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-05T10:00:00-05:00","event_time_end":"2024-03-05T11:00:00-05:00","event_time_end_last":"2024-03-05T11:00:00-05:00","gmt_time_start":"2024-03-05 15:00:00","gmt_time_end":"2024-03-05 16:00:00","gmt_time_end_last":"2024-03-05 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Online","extras":[],"related_links":[{"url":"https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_0Oi75upqQmKadGC","title":"RSVP to attend"}],"groups":[{"id":"1182","name":"General"},{"id":"47223","name":"College of 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\u003EDr. Ana Mary Rusch\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:ARusch3@gatech.edu\u0022 title=\u0022mailto:ARusch3@gatech.edu\u0022\u003EARusch3@gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"673286":{"#nid":"673286","#data":{"type":"event","title":"HotCSE Seminar: Jiaming Cui","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE Ph.D. Candidate Jiaming Cui\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, March 6, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Second Floor, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003ELunch will be provided!\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EBridging Public Health with Clinical Decisions from a Data Centric Perspective\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003EPublic health and clinical decisions are intertwined. Public health crises place a high burden on healthcare facilities, forcing them to make decisions such as maintaining quality vs. treating more people. Meanwhile, sub-optimal clinical decisions also cause downstream effects on communities, like discharging patients too early might increase disease spread. My work brings a data-centric perspective to bridge clinical decisions within the context of infectious diseases for public health. My work addresses multiple challenges arising from effectively utilizing rich clinical datasets, and issues stemming from the complexity of disease spread dynamics in healthcare facilities. This talk will cover methods I have developed to address these challenges with better-designed models to optimize disease surveillance and control policy, and new techniques for end-to-end learning with mechanistic epidemiological models. I will conclude by discussing new challenges and opportunities in infectious diseases and pandemic response for computer scientists, epidemiologists, and computational biologists.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Jiaming Cui is a Ph.D. candidate in the College of Computing at Georgia Tech, advised by Associate Professor B. Aditya Prakash. His research aims to bridge public health with clinical decisions using epidemiological modeling and machine learning (ML). He has published in leading science journals and top CS venues such as PNAS, Scientific Reports, NeurIPS, ICML, AAAI, and has organized workshops at leading conferences like KDD. He has closely collaborated with clinicians, and his work has been applied in multiple healthcare facilities. His work has also significantly contributed to pandemic prediction and prevention in the past several years, including winning global data science competitions, helping decision-making in healthcare facilities, and participating in the CDC\u0027s healthcare-associated infections team.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EAbout HotCSE\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHotCSE is an academic seminar series to bring Ph.D. students in Computational Science and Engineering together to discuss interesting topics. The topics consist of high-performance computing, machine learning, data analysis, simulation, computational sustainability, medical informatics, etc.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe talks have always been enjoyable and have ranged from quite informal to formal conference style talks. Either chalks or slides can be used to help people understand your talk. It is also a great forum to practice conference talks and bounce around new ideas.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECurrently the talks are sponsored by the School of Computational Science and Engineering. The goal of CSE is slightly broader than that of these talks - we want to bring more people outside CSE to discuss their related work here.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAll talks are free and open to the public. Besides,\u0026nbsp;\u003Cstrong\u003ELUNCH\u003C\/strong\u003E\u0026nbsp;is provided!!!\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf you are interested in participating as a future\u0026nbsp;\u003Ca href=\u0022https:\/\/hotcse.gatech.edu\/\u0022 id=\u0022OWAe48843b7-0823-1939-a3bc-3b294ef3d70f\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/hotcse.gatech.edu\/\u0022\u003EHotCSE\u003C\/a\u003E\u0026nbsp;speaker, please fill in\u0026nbsp;\u003Ca href=\u0022https:\/\/forms.gle\/Cmyt4iRJ7EjnwX9i8\u0022 id=\u0022OWA49f60b7e-fe04-753f-726b-63db09c9acc5\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/forms.gle\/Cmyt4iRJ7EjnwX9i8\u0022\u003Ethis form\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf you are interested in helping with HotCSE or other GSA-organized events, please fill in\u0026nbsp;\u003Ca href=\u0022https:\/\/forms.gle\/nGXcVqtYMt3BCWaJ7\u0022 title=\u0022https:\/\/forms.gle\/nGXcVqtYMt3BCWaJ7\u0022\u003Ethis form\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE Ph.D. Candidate Jiaming Cui\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, March 6, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Second Floor, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EBridging Public Health with Clinical Decisions from a Data Centric Perspective\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Bridging Public Health with Clinical Decisions from a Data Centric Perspective"}],"uid":"36319","created_gmt":"2024-03-01 17:29:02","changed_gmt":"2024-03-01 17:53:31","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-06T12:00:00-05:00","event_time_end":"2024-03-06T13:00:00-05:00","event_time_end_last":"2024-03-06T13:00:00-05:00","gmt_time_start":"2024-03-06 17:00:00","gmt_time_end":"2024-03-06 18:00:00","gmt_time_end_last":"2024-03-06 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":["free_food"],"hg_media":{"673276":{"id":"673276","type":"image","title":"Jiaming Cui.jpg","body":null,"created":"1709314011","gmt_created":"2024-03-01 17:26:51","changed":"1709313993","gmt_changed":"2024-03-01 17:26:33","alt":"CSE Jiaming Cui","file":{"fid":"256645","name":"Jiaming Cui.jpg","image_path":"\/sites\/default\/files\/2024\/03\/01\/Jiaming%20Cui.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/03\/01\/Jiaming%20Cui.jpg","mime":"image\/jpeg","size":22848,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/03\/01\/Jiaming%20Cui.jpg?itok=ID5lpesI"}}},"media_ids":["673276"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"192863","name":"go-ai"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ECSE Graduate Student Association\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ecse-gsa@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"673284":{"#nid":"673284","#data":{"type":"event","title":"College of Computing\u0027s Women in Tech Panel","body":[{"value":"\u003Cp\u003EThe College of Computing is celebrating Women\u0027s History Month with a \u003Cem\u003EWomen in Tech\u003C\/em\u003E panel discussion. The event is scheduled for March 7 and will feature women in the tech sector working with Travelers, Verizon, NSA, and others. The panel discussion begins at 5 p.m. in the Klaus Advanced Computing Bldg., Room 1116.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe College of Computing is celebrating Women\u0027s History Month with a \u003Cem\u003EWomen in Tech\u003C\/em\u003E panel discussion. The event is scheduled for March 7 and will feature women in the tech sector working with Travelers, Verizon, NSA, and others. The panel discussion begins at 5 p.m. in the Klaus Advanced Computing Bldg., room 1116.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The College of Computing is hosting a panel discussion featuring women in the tech sector working with Travelers, Verizon, NSA, and more."}],"uid":"32045","created_gmt":"2024-03-01 15:47:24","changed_gmt":"2024-03-01 15:53:06","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-07T17:00:00-05:00","event_time_end":"2024-03-07T18:30:00-05:00","event_time_end_last":"2024-03-07T18:30:00-05:00","gmt_time_start":"2024-03-07 22:00:00","gmt_time_end":"2024-03-07 23:30:00","gmt_time_end_last":"2024-03-07 23:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus Advanced Computing Bldg. Room 1116","extras":[],"hg_media":{"673274":{"id":"673274","type":"image","title":"Women in Tech Panel Discussion-March 7-5p-KlausBldg-Rm-1116","body":null,"created":"1709307942","gmt_created":"2024-03-01 15:45:42","changed":"1709307861","gmt_changed":"2024-03-01 15:44:21","alt":"Women in Tech Panel Discussion-March 7-5p-KlausBldg-Rm-1116","file":{"fid":"256643","name":"Women in Tech Panel Discussion-March 7.jpg","image_path":"\/sites\/default\/files\/2024\/03\/01\/Women%20in%20Tech%20Panel%20Discussion-March%207.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/03\/01\/Women%20in%20Tech%20Panel%20Discussion-March%207.jpg","mime":"image\/jpeg","size":566677,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/03\/01\/Women%20in%20Tech%20Panel%20Discussion-March%207.jpg?itok=uX_fKgIq"}}},"media_ids":["673274"],"groups":[{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[{"id":"8900","name":"women\u0027s history month"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"673220":{"#nid":"673220","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Yu Sun","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EYu Sun, postdoctoral scholar at California Institute of Technology\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, March 5, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Second Floor, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003ECoffee, drinks, and snacks provided!\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003ETurning Denoisers into Principled Imaging Solvers: Algorithm, Theory, and Application\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Many imaging systems suffer from information loss during the data acquisition. This makes the problem of image reconstruction an ill-posed inverse problem, where the ill-posedness can ultimately lead to strong image artifacts and multiple solutions that equally explain the measurements. This talk will present how a simple image denoiser, whose goal is to simply remove Gaussian noise from an image, can become the building block for designing advanced algorithms for solving these challenges. The talk will focus on two works. In the first work, we will introduce how the image denoiser can help us design a principled algorithm that can accurately explore the full solution space of ill-posed imaging inverse problems while also impose expressive image priors. Here, the image denoiser serves as a bridge to incorporate the recent advances in the score-based generative models for generating different images. Additionally, we propose a theoretical analysis that can characterize the convergence behavior of our algorithm under nonlinear inverse problems and imperfect denoiser. We demonstrate our method on the challenging black hole imaging problem where multi-modal solutions exist. The second work is focused on a specific 3D microscopy application, where traditional image reconstruction approaches lead to significant artifacts. In this work, the image denoiser becomes a key component in learning a deep neural-field imaging solver for removing heavy artifacts. Here, the image denoiser functions as an indispensable image regularizer.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Dr. Yu Sun currently works as a postdoc scholar at California Institute of Technology (Caltech) with Prof. Katie Bouman. His research is focused on developing principled computational imaging algorithms integrated with machine learning models. Prior to Caltech, He received the Ph.D. degree from Washington University in St. Louis (Wash U) supervised by Prof. Ulugbek S. Kamilov. His dissertation was the winner of the 2022 Turner Ph.D. Dissertation Award (top in the class) at Wash U. He is an elected member of the IEEE Signal Processing Society Technical Committee of Computational Imaging (CI TC) and a consultant associated editor of IEEE Open Journal of Signal Processing. His work has been published in prestigious journals and conferences including Nature Machine Intelligence, NeurIPS, and ICLR.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EYu Sun, postdoctoral scholar at California Institute of Technology\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, March 5, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Second Floor, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003ETurning Denoisers into Principled Imaging Solvers: Algorithm, Theory, and Application\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Turning Denoisers into Principled Imaging Solvers: Algorithm, Theory, and Application"}],"uid":"36319","created_gmt":"2024-02-27 19:38:37","changed_gmt":"2024-02-27 19:38:36","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-05T11:00:00-05:00","event_time_end":"2024-03-05T12:00:00-05:00","event_time_end_last":"2024-03-05T12:00:00-05:00","gmt_time_start":"2024-03-05 16:00:00","gmt_time_end":"2024-03-05 17:00:00","gmt_time_end_last":"2024-03-05 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":["free_food"],"hg_media":{"673236":{"id":"673236","type":"image","title":"Yu Sun Headshot.jpg","body":null,"created":"1709062651","gmt_created":"2024-02-27 19:37:31","changed":"1709062638","gmt_changed":"2024-02-27 19:37:18","alt":"Yu Sun CSE","file":{"fid":"256598","name":"Yu Sun Headshot.jpg","image_path":"\/sites\/default\/files\/2024\/02\/27\/Yu%20Sun%20Headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/27\/Yu%20Sun%20Headshot.jpg","mime":"image\/jpeg","size":35329,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/27\/Yu%20Sun%20Headshot.jpg?itok=S-Xc6WNw"}}},"media_ids":["673236"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr \/\u003E\r\nmhigh7@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"673215":{"#nid":"673215","#data":{"type":"event","title":"IC Spring Seminar Series with Guest Speaker Xingyu Lin","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EAbstract\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\u003EThe rise of data-driven methods in robotics has significantly enhanced a robot\u0027s capacity for perception, reasoning, and acting. However, the challenge and expense of collecting a diverse dataset with robots prevent learning control policies that are generalizable across various settings and tasks. Alternatively, while data sources like videos and robot play data are scalable, they are often not directly applicable due to the domain gaps and the absence of optimal action labels. In this talk, I will discuss my research on learning visual representations, particle trajectory models, and particle dynamics models from these data to learn generalizable low-level policies. These structured representations enables the learned policies to generalize to novel objects and configurations. I will conclude by demonstrating how these low-level skills can be assembled to tackle long-horizon and novel tasks.\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\u003EBio\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\u003EXingyu\u0026nbsp;Lin is a postdoctoral researcher at the University of California Berkeley, working with Pieter Abbeel. His research lies at the intersection of computer vision, machine learning and robotics, with a focus on learning robust manipulation skills that generalize to novel objects, tasks and deformable objects.\u0026nbsp;Xingyu\u0026nbsp;holds a PhD from the Robotics Institute at Carnegie Mellon University, advised by David Held. Prior to that, he received his undergraduate degree in computer science from Peking University. His research has been published at top conferences, including CoRL, RSS, NeurIPS and ICLR. He was also selected as an RSS (Robotics Science and System) 2022 Pioneer.\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\u003Cstrong\u003ETalk Title \u2014 A Bottom-Up Approach Towards Generalizable Robot Learning\u003C\/strong\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Talk Title \u2014 A Bottom-Up Approach Towards Generalizable Robot Learning"}],"uid":"36530","created_gmt":"2024-02-27 16:30:08","changed_gmt":"2024-02-27 16:30:44","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-07T11:00:00-05:00","event_time_end":"2024-03-07T12:00:00-05:00","event_time_end_last":"2024-03-07T12:00:00-05:00","gmt_time_start":"2024-03-07 16:00:00","gmt_time_end":"2024-03-07 17:00:00","gmt_time_end_last":"2024-03-07 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"IC Cafe, Technology Square Research Building, 2nd Floor","extras":[],"hg_media":{"673224":{"id":"673224","type":"image","title":"Lin_Xingyu.jpg","body":null,"created":"1709051381","gmt_created":"2024-02-27 16:29:41","changed":"1709051363","gmt_changed":"2024-02-27 16:29:23","alt":"Xingyu Lin","file":{"fid":"256585","name":"Lin_Xingyu.jpg","image_path":"\/sites\/default\/files\/2024\/02\/27\/Lin_Xingyu.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/27\/Lin_Xingyu.jpg","mime":"image\/jpeg","size":106110,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/27\/Lin_Xingyu.jpg?itok=rXT4g3SX"}}},"media_ids":["673224"],"groups":[{"id":"47223","name":"College of Computing"},{"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":""}},"673212":{"#nid":"673212","#data":{"type":"event","title":"IC Spring Seminar Series with Guest Speaker Yuchen Cui","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003EAbstract\u003C\/span\u003E\u003C\/span\u003E\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\u003E\u003Cspan\u003E\u003Cspan\u003EToday\u2019s general-purpose robot learning policies are limited to 50-80% zero-shot performance on downstream tasks. To close this performance gap, deployed robots face the ongoing challenge of continually learning and adapting to diverse downstream tasks on demand under human guidance. Existing frameworks allow experts to guide robots in various ways including providing reward functions, demonstrations, and corrective feedback. However, most robots will only have access to non-expert users for guidance after deployment. At the same time, traditional machine learning methods often used in robot learning are tethered to the expectation of informative and near-optimal data. Novice human teachers\u2014rich in practical experience yet lacking in robotics and engineering knowledge\u2014bring data that strays from this ideal. My research addresses the challenges of robot learning brought by non-expert teachers and enables robots to effectively learn under non-expert human guidance, including 1) developing active reward learning algorithms to allow the robot to take an active role in learning by asking informative questions, 2) leveraging a hybrid action representation for imitation learning that is more robust to suboptimal demonstrations, and 3) enabling the robot to interpret the human teacher\u0027s natural feedback in the form of facial expressions, language, and gestures. Tapping into diverse sources of non-expert human feedback can lead to successful robot policies that can effectively work alongside humans and learn from them.\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\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003EBio\u003C\/span\u003E\u003C\/span\u003E\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\u003E\u003Cspan\u003E\u003Cspan\u003EYuchen\u0026nbsp;Cui is currently a postdoc in the Computer Science Department at Stanford University, working with Professor Dorsa Sadigh in the ILIAD lab.\u0026nbsp;Yuchen\u0026nbsp;is also a fellow of the Stanford Institute for Human-Centered AI at Stanford.\u0026nbsp;Yuchen\u0027s research focuses on interactive robot learning and specifically on how to enable low-effort teaching for non-expert users. Before joining Stanford,\u0026nbsp;Yuchen\u0026nbsp;obtained her Ph.D. in Computer Science from the University of Texas at Austin and was advised by Professor Scott Niekum. Her dissertation is titled \u0022Efficient algorithms for low-effort human teaching of robots\u201d. During her graduate studies,\u0026nbsp;Yuchen\u0026nbsp;also conducted internships at Honda Research Institute, Diligent Robotics, and Facebook AI Research.\u0026nbsp;Yuchen\u0026nbsp;obtained her B.S. in Computer Engineering from Purdue University with Highest Distinction in 2015. She is selected as a 2023 EECS Rising Star. Website:\u0026nbsp;\u003Ca href=\u0022https:\/\/web.stanford.edu\/~yuchenc\/\u0022 title=\u0022https:\/\/web.stanford.edu\/~yuchenc\/\u0022\u003Ehttps:\/\/web.stanford.edu\/~yuchenc\/\u003C\/a\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\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title \u2014 Interactive Robot Learning from Non-Expert Human Teachers\u003C\/strong\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Talk Title \u2014 Interactive Robot Learning from Non-Expert Human Teachers"}],"uid":"36530","created_gmt":"2024-02-27 15:00:58","changed_gmt":"2024-02-27 15:00:58","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-05T11:00:00-05:00","event_time_end":"2024-03-05T12:00:00-05:00","event_time_end_last":"2024-03-05T12:00:00-05:00","gmt_time_start":"2024-03-05 16:00:00","gmt_time_end":"2024-03-05 17:00:00","gmt_time_end_last":"2024-03-05 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"IC Cafe, Technology Square Research Building, 2nd Floor","extras":[],"hg_media":{"673221":{"id":"673221","type":"image","title":"Cui_Yuchen.jpg","body":null,"created":"1709046021","gmt_created":"2024-02-27 15:00:21","changed":"1709046004","gmt_changed":"2024-02-27 15:00:04","alt":"Yuchen Cui","file":{"fid":"256582","name":"Cui_Yuchen.jpg","image_path":"\/sites\/default\/files\/2024\/02\/27\/Cui_Yuchen.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/27\/Cui_Yuchen.jpg","mime":"image\/jpeg","size":497156,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/27\/Cui_Yuchen.jpg?itok=aQo1knpv"}}},"media_ids":["673221"],"groups":[{"id":"47223","name":"College of Computing"},{"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":""}},"673166":{"#nid":"673166","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Jacob Schreiber","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EJacob Schreiber, postdoctoral scholar at Stanford University\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 29, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Second Floor, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003ECoffee, drinks, and snacks provided!\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EDissecting the Cell Type-Specific Regulatory Role of Each Nucleotide in the Human Genome\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Proper regulation of gene expression is a crucial component of life, yet remains poorly understood despite a recent explosion in the quality and availability of genomic measurements. A paradigm that has emerged involves training neural networks that take in genomic sequences and predict these measurements directly. Far from being uninterpretable, these models can be paired with feature attribution algorithms to discover building blocks of the regulatory code. In this talk, I will introduce our ongoing work on a neural network called DragoNNFruit that extends this paradigm to modern data sets where measurements are available for each of many individual cells. A distinguishing feature of DragoNNFruit is that the parameters of this method are dynamically generated for each cell in the experiment based on properties of the cell, rephrasing the learning task as that of learning how to process genomic sequence in a cell-specific manner. When applied to data from cells that are slowly transitioning across types, DragoNNFruit uncovers the regulatory code of both endpoints but also how this code gets rewritten as cells alter their identity, and even how individual nucleotides can be involved in different regulatory programs in different cell types. Afterwards, I will briefly discuss pitfalls that one can encounter when applying machine learning to genomics data, and introduce my vision for new directions that these machine learning models can take.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Dr. Jacob Schreiber is a postdoctoral scholar in the Department of Genetics at Stanford University, where he develops machine learning-based methods for studying the genome. Previously, he did his Ph.D. at the University of Washington. In parallel to his research, he has contributed to the Python open-source ecosystem as a core developer for scikit-learn and the author of pomegranate, a package for probabilistic modeling, apricot, a package for submodular optimization, and ledidi, a method for designing biological sequence edits that exhibit desired characteristics, among others.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EJacob Schreiber, postdoctoral scholar at Stanford University\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 29, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Second Floor, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EDissecting the Cell Type-Specific Regulatory Role of Each Nucleotide in the Human Genome\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Dissecting the Cell Type-Specific Regulatory Role of Each Nucleotide in the Human Genome"}],"uid":"36319","created_gmt":"2024-02-26 18:41:18","changed_gmt":"2024-02-26 18:46:41","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-02-29T11:00:00-05:00","event_time_end":"2024-02-29T12:00:00-05:00","event_time_end_last":"2024-02-29T12:00:00-05:00","gmt_time_start":"2024-02-29 16:00:00","gmt_time_end":"2024-02-29 17:00:00","gmt_time_end_last":"2024-02-29 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":["free_food"],"hg_media":{"673211":{"id":"673211","type":"image","title":"Jacob Schreiber.jpg","body":null,"created":"1708972768","gmt_created":"2024-02-26 18:39:28","changed":"1708972750","gmt_changed":"2024-02-26 18:39:10","alt":"CSE Jacob Schreiber","file":{"fid":"256572","name":"Jacob Schreiber.jpg","image_path":"\/sites\/default\/files\/2024\/02\/26\/Jacob%20Schreiber.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/26\/Jacob%20Schreiber.jpg","mime":"image\/jpeg","size":480457,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/26\/Jacob%20Schreiber.jpg?itok=CdYOdHDF"}}},"media_ids":["673211"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr \/\u003E\r\nmhigh7@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"673141":{"#nid":"673141","#data":{"type":"event","title":"IC Spring Seminar Series with Guest Speaker Xianyi Cheng","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EAbstract\u003C\/span\u003E\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\u003E\u003Cspan\u003EWe have remarkable AIs and precise robots, but why do humans still do so much tedious physical work, from factories to households? The core missing piece is dexterity \u2014 the ability to manipulate objects skillfully. Human-level dexterity is the complex synergy of mind and body, from the lowest level of sensorimotor control to the highest level of cognitive thinking. Dexterity is the crucial intelligence of task solving and execution. Achieving robot dexterity will transform industries and people\u2019s lives by empowering robots to perform complex manual processes seamlessly in factories, households, service industries, space operations, etc.\u003Cbr \/\u003E\r\nIn this talk, I will provide new perspectives on this complex problem based on my research. Why is dexterity so complex? We will broaden our understanding by studying three questions. First, what kinds of robots are made for dexterity? Second, what do complex dexterous manipulation interactions involve? Third, what skills will robots need to achieve dexterity? Finally, we will discuss the path toward general dexterity in robots.\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\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\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\u003Cspan\u003EBio\u003C\/span\u003E\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\u003E\u003Cspan\u003EXianyi\u003C\/span\u003E\u0026nbsp;\u003Cspan\u003ECheng\u003C\/span\u003E\u0026nbsp;\u003Cspan\u003Eis a final year Ph.D. candidate at Carnegie Mellon University, advised by Professor Matthew T. Mason. Her primary research focus is robot dexterity. Specifically, her current work focuses on the automatic generation and planning of dexterous manipulation skills. She received the Foxconn Graduate Fellowship in 2018 and was selected to participate in the 2021 MIT EECS Rising Star.\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\u003Cstrong\u003ETalk Title \u2014 Dexterity: The Crucial Motion Intelligence for Future Robots\u003C\/strong\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Talk Title \u2014 Dexterity: The Crucial Motion Intelligence for Future Robots"}],"uid":"36530","created_gmt":"2024-02-23 13:33:03","changed_gmt":"2024-02-23 14:06:34","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-02-29T11:00:00-05:00","event_time_end":"2024-02-29T12:00:00-05:00","event_time_end_last":"2024-02-29T12:00:00-05:00","gmt_time_start":"2024-02-29 16:00:00","gmt_time_end":"2024-02-29 17:00:00","gmt_time_end_last":"2024-02-29 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"IC Cafe, Technology Square Research Building, 2nd Floor","extras":[],"hg_media":{"673188":{"id":"673188","type":"image","title":"Cheng_Xianyi.jpg","body":null,"created":"1708695155","gmt_created":"2024-02-23 13:32:35","changed":"1708695131","gmt_changed":"2024-02-23 13:32:11","alt":"Xianyi Cheng","file":{"fid":"256548","name":"Cheng_Xianyi.jpg","image_path":"\/sites\/default\/files\/2024\/02\/23\/Cheng_Xianyi.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/23\/Cheng_Xianyi.jpg","mime":"image\/jpeg","size":243757,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/23\/Cheng_Xianyi.jpg?itok=nvRlPIjZ"}}},"media_ids":["673188"],"groups":[{"id":"47223","name":"College of Computing"},{"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":""}},"673092":{"#nid":"673092","#data":{"type":"event","title":"IC Spring Seminar Series with Guest Speaker Krishna Murthy","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title \u2014 Structured World Models for Robots\u003C\/strong\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\u003Cspan\u003EAbstract\u003C\/span\u003E\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\u003E\u003Cspan\u003EHumans have an innate ability to construct detailed mental representations of the world from limited sensory data. These \u0027world models\u0027 are central to natural intelligence, allowing us to perceive, reason about, and act in the physical world. My research seeks to create \u0027computational world models\u0027 \u2014 artificial intelligence techniques that enable robots to understand and operate in the world around as effectively as humans. Despite the impressive successes of modern machine learning approaches on domains such as text, images, and video \u2014 where abundant training data is readily available \u2014 these have not translated to robotics. Building generally capable robotic systems presents unique challenges including the lack of data, and the need to adapt learning algorithms to a wide variety of embodiments, environments, and tasks of interest.\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\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EIn my talk, I will present how my research contributes to the design of computational models for spatial, physical, and multimodal understanding. I will discuss differentiable computing approaches that have advanced the field of spatial perception, enabling an understanding of the structure of the 3D world, its constituent objects, and their semantic and physical properties from videos. I will also detail how my work interfaces advances in large image, language, and audio models with 3D scenes, enabling robots and computer vision systems to flexibly query these structured world models for a wide range of tasks. Finally, I will outline my vision for the future, where structured world models and modern scaling-based approaches work in tandem to create versatile robot perception and planning algorithms with the potential to meet and ultimately surpass human-level capabilities.\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\u003Cstrong\u003EStructured World Models for Robots\u003C\/strong\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Structured World Models for Robots"}],"uid":"36530","created_gmt":"2024-02-21 14:37:08","changed_gmt":"2024-02-22 15:52:03","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-02-27T11:00:00-05:00","event_time_end":"2024-02-27T12:00:00-05:00","event_time_end_last":"2024-02-27T12:00:00-05:00","gmt_time_start":"2024-02-27 16:00:00","gmt_time_end":"2024-02-27 17:00:00","gmt_time_end_last":"2024-02-27 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"IC Cafe, Technology Square Research Building, 2nd Floor","extras":[],"hg_media":{"673162":{"id":"673162","type":"image","title":"Murthy_Krishna.png","body":null,"created":"1708526188","gmt_created":"2024-02-21 14:36:28","changed":"1708526169","gmt_changed":"2024-02-21 14:36:09","alt":"Krishna Murthy","file":{"fid":"256520","name":"Murthy_Krishna.png","image_path":"\/sites\/default\/files\/2024\/02\/21\/Murthy_Krishna.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/21\/Murthy_Krishna.png","mime":"image\/png","size":1368212,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/21\/Murthy_Krishna.png?itok=yjXEQshC"}}},"media_ids":["673162"],"groups":[{"id":"47223","name":"College of Computing"},{"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":""}},"673059":{"#nid":"673059","#data":{"type":"event","title":"SCP Faculty Candidate Seminar - Liz Izhikevich","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EWho? \u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003ELiz Izhikevich\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\u003Cstrong\u003E\u003Cspan\u003EWhat?\u003C\/span\u003E\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\/span\u003E\u003Cem\u003EGlobal Visibility into the Internet\u2019s Security and Performance\u003C\/em\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\u003EWhen?\u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003E Tuesday, March 26, 2024 @ 11 a.m.\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\u003Cstrong\u003E\u003Cspan\u003EWhere? \u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003ECODA 9th floor Atrium 0920 or virtually on \u003Ca href=\u0022https:\/\/gatech.zoom.us\/webinar\/register\/WN_-kGa4Zl3ShC9Dy5tzhBe6A\u0022\u003EZoom\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\/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\u003Cstrong\u003EWill there be free lunch?\u003C\/strong\u003E \u003Cstrong\u003EYES!\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\/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\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\u003Ch4\u003EAdditional information\u003C\/h4\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\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\u003Cstrong\u003E\u003Cspan\u003EAbstract: \u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003EInternet security and performance problems often brew invisibly. Protecting and improving the Internet\u2019s operations requires real-time visibility into networks and their users. However, the Internet\u0027s size, ephemerality, and diverse deployment patterns challenge visibility. In this talk, I will show how building data-collecting systems that rigorously account for the Internet\u0027s complexities reveal previously unseen critical operational challenges and threats. These include the discovery of billions of often-vulnerable IPv4 services and convoluted satellite routing patterns that take detours around the world.\u003C\/span\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\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\u003Cstrong\u003E\u003Cspan\u003EBio: \u003C\/span\u003E\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\/span\u003E\u003Cspan\u003ELiz Izhikevich is a Ph.D. Candidate in the Computer Science Department at Stanford University. Liz builds high performance network analysis systems and applies statistical analytics to understand and improve the Internet\u0027s performance and security. Her work has received ACM IMC\u0027s Community Contribution Award and has seen widespread adoption across industry and government. Liz is a graduate of UC San Diego (BS \u002717, MS \u002718), an NSF Fellow, Stanford Graduate Fellow, and EECS Rising Star.\u003C\/span\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003Cspan\u003E\u0026nbsp;\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EZoom link for Presentation:\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003Ehttps:\/\/gatech.zoom.us\/webinar\/register\/WN_-kGa4Zl3ShC9Dy5tzhBe6A\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EOn Tuesday, March 26, 2024 @ 11 a.m., the School of Cybersecurity and Privacy will be hosting Liz Izhikevich, a Ph.D. candidate in the Computer Science Department at Stanford University. \u003Cspan\u003EJoin us for \u003C\/span\u003EIzhikevich\u003Cspan\u003E\u0027s talk, \u003Cem\u003EGlobal Visibility into the Internet\u2019s Security and Performance\u003C\/em\u003E\u003C\/span\u003E\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003E, \u003C\/span\u003E\u003C\/span\u003E\u003C\/em\u003E\u003Cspan\u003E\u003Cspan\u003Eand grab a free lunch on us! More details below.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"On Tuesday, March 26, 2024 @ 11 a.m., the School of Cybersecurity and Privacy will be hosting Liz Izhikevich, a Ph.D. candidate in the Computer Science Department at Stanford University.re. "}],"uid":"36253","created_gmt":"2024-02-19 16:20:38","changed_gmt":"2024-02-19 16:20:38","author":"John Popham","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-26T11:00:00-04:00","event_time_end":"2024-03-26T12:00:00-04:00","event_time_end_last":"2024-03-26T12:00:00-04:00","gmt_time_start":"2024-03-26 15:00:00","gmt_time_end":"2024-03-26 16:00:00","gmt_time_end_last":"2024-03-26 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"CODA 9th floor Atrium 0920","extras":["free_food"],"hg_media":{"673136":{"id":"673136","type":"image","title":"Izhikevich Talk.jpg","body":null,"created":"1708359493","gmt_created":"2024-02-19 16:18:13","changed":"1708359434","gmt_changed":"2024-02-19 16:17:14","alt":"talk graphic","file":{"fid":"256494","name":"Izhikevich Talk.jpg","image_path":"\/sites\/default\/files\/2024\/02\/19\/Izhikevich%20Talk.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/19\/Izhikevich%20Talk.jpg","mime":"image\/jpeg","size":1450137,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/19\/Izhikevich%20Talk.jpg?itok=fPipCBvM"}}},"media_ids":["673136"],"related_links":[{"url":"https:\/\/gatech.zoom.us\/webinar\/register\/WN_-kGa4Zl3ShC9Dy5tzhBe6A","title":"Virtual Attendance Available Through Zoom (Registration through gatech Zoom account is required)"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"660367","name":"School of Cybersecurity and Privacy"}],"categories":[],"keywords":[{"id":"193480","name":"Cyber Attack; cyber threats report; cybersecurity; talk; seminar; "}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ESchool of Cybersecurity and Privacy\u003C\/p\u003E\r\n\r\n\u003Cp\u003Escp@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"672777":{"#nid":"672777","#data":{"type":"event","title":"SCP Faculty Candidate Seminar - Paul Griffioen","body":[{"value":"\u003Cdiv\u003E\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EWho? \u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003EPaul Griffioen\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\u003Cstrong\u003E\u003Cspan\u003EWhat?\u003C\/span\u003E\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\/span\u003EData Driven Approaches for Safe and Secure Cyber-Physical Systems\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\u003EWhen?\u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003E Tuesday, February 20, 2024 @ 11 a.m.\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\u003Cstrong\u003E\u003Cspan\u003EWhere? \u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003ECODA 9th floor Atrium 0920 or virtually on \u003Ca href=\u0022https:\/\/gatech.zoom.us\/webinar\/register\/WN_paRJmjl0Tw-HjxV7IPbkiQ\u0022\u003EZoom\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\/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\u003Cstrong\u003EWill there be free lunch?\u003C\/strong\u003E \u003Cstrong\u003EYES!\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\/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\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\u003Ch4\u003EAdditional information\u003C\/h4\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\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\u003Cstrong\u003E\u003Cspan\u003EAbstract: \u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003ECyber-physical systems (CPSs), engineered systems which include sensing, processing, control, and communication in physical spaces, are ubiquitous in modern critical infrastructures including manufacturing, transportation systems, energy delivery, health care, water management, and the smart grid. As the physical, communication, and computational parts of these complex systems become increasingly interconnected and intertwined, it is important to ensure their safety and security in the presence of uncertainties and attacks. In this talk, we present three necessary components for designing safe and secure CPSs: detecting attacks, responding to attacks, and providing safety guarantees for systems with unmodeled dynamics. In particular, we introduce the moving target defense, software rejuvenation, and data-driven reachability, showing how each of these tools leverage knowledge of the underlying physical dynamics to guarantee safety and security. We illustrate our results in a number of example applications and present future research direction\u003Cstrong\u003Es \u003C\/strong\u003Efor data-driven CPS safety and security.\u003C\/span\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;\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\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\u003Cstrong\u003E\u003Cspan\u003EBio: \u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003EPaul Griffioen is currently a postdoctoral researcher in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley working with Murat Arcak. He received M.S. and Ph.D. degrees in Electrical and Computer Engineering from Carnegie Mellon University in 2018 and 2022, respectively, where he was co-advised by Bruno Sinopoli and Bruce H. Krogh. He received a B.S. degree in Electrical and Computer Engineering from Calvin College in 2016. His research interests include the modeling, analysis, and design of active detection techniques and response mechanisms for ensuring resilient and secure cyber-physical systems. His research interests also include data-driven analysis and design of high-performance cyber-physical systems that ensure safety while operating under computational constraints.\u003C\/span\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\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\u003EZoom Link: \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\u003Ehttps:\/\/gatech.zoom.us\/webinar\/register\/WN_paRJmjl0Tw-HjxV7IPbkiQ\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EOn \u003Cspan\u003ETuesday, February 20, 2024 @ 11 a.m., \u003C\/span\u003Ethe School of Cybersecurity and Privacy will be hosting \u003Cspan\u003EPaul Griffioen, a postdoctoral researcher in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. Join us for Griffioen\u0027s talk, \u003Cem\u003E\u003Cspan\u003EData Driven Approaches for Safe and Secure Cyber-Physical Systems\u003C\/span\u003E\u003C\/em\u003E\u003C\/span\u003E\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003E, \u003C\/span\u003E\u003C\/span\u003E\u003C\/em\u003E\u003Cspan\u003E\u003Cspan\u003Eand grab a free lunch on us! More details below.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"On Tuesday, February 20, 2024 @ 11 a.m., the School of Cybersecurity and Privacy will be hosting Paul Griffioen, a postdoctoral researcher in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. "}],"uid":"36253","created_gmt":"2024-02-06 16:34:17","changed_gmt":"2024-02-19 12:01:59","author":"John Popham","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-02-20T11:00:00-05:00","event_time_end":"2024-02-20T12:00:00-05:00","event_time_end_last":"2024-02-20T12:00:00-05:00","gmt_time_start":"2024-02-20 16:00:00","gmt_time_end":"2024-02-20 17:00:00","gmt_time_end_last":"2024-02-20 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"CODA 9th floor Atrium 0920","extras":["free_food"],"related_links":[{"url":"https:\/\/gatech.zoom.us\/webinar\/register\/WN_paRJmjl0Tw-HjxV7IPbkiQ","title":"Virtual Attendance Available Through Zoom (Registration through gatech Zoom account is required)"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"660367","name":"School of Cybersecurity and Privacy"}],"categories":[],"keywords":[{"id":"192031","name":"faculty recruiting"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cspan\u003EThe School of Cybersecurity and Privacy \u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003Eemail: scp@cc.gatech.edu \u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"672894":{"#nid":"672894","#data":{"type":"event","title":"SCP Faculty Candidate Seminar - Teodora Baluta","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EWho? \u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003ETeodora Baluta\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\u003Cstrong\u003E\u003Cspan\u003EWhat?\u003C\/span\u003E\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\/span\u003E\u003Cem\u003E\u003Cspan\u003ENew Algorithmic Tools for Rigorous Machine Learning Security Analysis\u003C\/span\u003E\u003C\/em\u003E\u003C\/span\u003E\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003C\/em\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\u003EWhen?\u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003E Tuesday, February 27, 2024 @ 11 a.m.\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\u003Cstrong\u003E\u003Cspan\u003EWhere? \u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003ECODA 9th floor Atrium 0920 or virtually on \u003Ca href=\u0022https:\/\/gatech.zoom.us\/webinar\/register\/WN_jZ_l0OYESReDj_UgbURUUQ\u0022\u003EZoom\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\/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\u003Cstrong\u003EWill there be free lunch?\u003C\/strong\u003E \u003Cstrong\u003EYES!\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\/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\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\u003Ch4\u003EAdditional information\u003C\/h4\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\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\u003Cstrong\u003E\u003Cspan\u003EAbstract: \u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003EMachine learning security is an emerging area with many open questions lacking systematic analysis. In this talk, I will present three new algorithmic tools to address this gap: (1) algebraic proofs; (2) causal reasoning; and (3) sound statistical verification. Algebraic proofs provide the first conceptual mechanism to resolve intellectual property disputes over training data. I show that stochastic gradient descent, the de-facto training procedure for modern neural networks, is a collision-resistant computation under precise definitions. These results open up connections to lattices, which are mathematical tools used for cryptography presently. I will also briefly mention my efforts to analyze causes of empirical privacy attacks and defenses using causal models, and to devise statistical verification procedures with \u2018probably approximately correct\u2019 (PAC)-style soundness guarantees.\u003C\/span\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;\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\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\u003Cstrong\u003E\u003Cspan\u003EBio: \u003C\/span\u003E\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\/span\u003ETeodora Baluta is a Ph.D. candidate in Computer Science at the National University of Singapore. She enjoys working on security problems that are both algorithmic in nature and practically relevant. She is one of the EECS Rising Stars 2023, a Google PhD Fellow, a Dean\u2019s Graduate Research Excellence Award recipient and a President\u2019s Graduate Fellowship recipient at NUS. She interned at Google Brain working in the Learning for Code team. Her works are published in security (CCS, NDSS), programming languages\/verification conferences (OOPSLA, SAT), and software engineering conferences (ICSE, ESEC\/FSE). More details are available on her webpage: \u003C\/span\u003E\u003Ca href=\u0022https:\/\/teobaluta.github.io\/\u0022 title=\u0022https:\/\/teobaluta.github.io\/\u0022\u003Ehttps:\/\/teobaluta.github.io\/\u003C\/a\u003E\u003Cspan\u003E.\u0026nbsp;\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EZoom link for Presentation:\u003Cspan\u003E\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003Ca href=\u0022https:\/\/gatech.zoom.us\/webinar\/register\/WN_jZ_l0OYESReDj_UgbURUUQ\u0022 title=\u0022https:\/\/gatech.zoom.us\/webinar\/register\/WN_jZ_l0OYESReDj_UgbURUUQ\u0022\u003Ehttps:\/\/gatech.zoom.us\/webinar\/register\/WN_jZ_l0OYESReDj_UgbURUUQ\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EOn \u003Cspan\u003ETuesday, February 27, 2024 @ 11 a.m., \u003C\/span\u003Ethe School of Cybersecurity and Privacy will be hosting \u003Cspan\u003E\u003Cspan\u003ETeodora Baluta\u003C\/span\u003E, a Ph.D. candidate in computer science at the National University of Singapore. Join us for Baluta\u0027s talk, \u003Cem\u003E\u003Cspan\u003ENew Algorithmic Tools for Rigorous Machine Learning Security Analysis\u003C\/span\u003E\u003C\/em\u003E\u003C\/span\u003E\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003E, \u003C\/span\u003E\u003C\/span\u003E\u003C\/em\u003E\u003Cspan\u003E\u003Cspan\u003Eand grab a free lunch on us! More details below.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"On Tuesday, February 27, 2024 @ 11 a.m., the School of Cybersecurity and Privacy will be hosting Teodora Baluta, a Ph.D. candidate in computer science at the National University of Singapore. "}],"uid":"36253","created_gmt":"2024-02-12 20:12:18","changed_gmt":"2024-02-19 11:59:54","author":"John Popham","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-02-27T11:00:00-05:00","event_time_end":"2024-02-27T12:00:00-05:00","event_time_end_last":"2024-02-27T12:00:00-05:00","gmt_time_start":"2024-02-27 16:00:00","gmt_time_end":"2024-02-27 17:00:00","gmt_time_end_last":"2024-02-27 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"CODA 9th floor Atrium 0920","extras":["free_food"],"hg_media":{"673056":{"id":"673056","type":"image","title":"Baluta Talk.jpg","body":null,"created":"1707768759","gmt_created":"2024-02-12 20:12:39","changed":"1707768759","gmt_changed":"2024-02-12 20:12:39","alt":"graphic","file":{"fid":"256407","name":"Baluta Talk.jpg","image_path":"\/sites\/default\/files\/2024\/02\/12\/Baluta%20Talk.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/12\/Baluta%20Talk.jpg","mime":"image\/jpeg","size":1336918,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/12\/Baluta%20Talk.jpg?itok=3Mu3zx5u"}}},"media_ids":["673056"],"related_links":[{"url":"https:\/\/gatech.zoom.us\/webinar\/register\/WN_jZ_l0OYESReDj_UgbURUUQ","title":"Virtual Attendance Available Through Zoom (Registration through gatech Zoom account is required)"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"660367","name":"School of Cybersecurity and Privacy"}],"categories":[],"keywords":[{"id":"193480","name":"Cyber Attack; cyber threats report; cybersecurity; talk; seminar; "}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ESchool of Cybersecurity and Privacy\u003C\/p\u003E\r\n\r\n\u003Cp\u003Escp@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"672935":{"#nid":"672935","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Christopher Cueva","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EChristopher Cueva, research scientist at \u003Cspan\u003E\u003Cspan\u003EMassachusetts\u003C\/span\u003E\u003C\/span\u003E Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 22, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business Building, 1st Floor, Room 102 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/z38Acce9jVFdDnVKA\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EBridging Natural and Artificial Intelligence with Neural Network Models\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;\u003Cspan\u003E\u003Cspan\u003EBiological brains are capable of feats of learning and adaptive computation unrivaled by artificial systems. These intelligent behaviors are guided by interactions between many systems, such as, different sensory systems, memory systems, and motor systems. If we want to gain a deeper understanding of complex behaviors, and of natural intelligence more generally, we need to build models that combine the functional capabilities of these individual systems. Building these multi-system models and leveraging them to both understand the brain and augment artificial intelligence are central themes of my future research. In this talk, I will highlight some of my work towards this goal, through the study of behavior, neural activity, and neural network modeling.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Christopher Cueva is a research scientist at MIT working to understand natural and artificial intelligence by analyzing neural activity and behavior, and building and evaluating models of the brain. He obtained his Ph.D. from the Center for Theoretical Neuroscience at Columbia University, and bachelor\u2019s degrees in physics and mathematics from Stanford University.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EChristopher Cueva, research scientist at \u003Cspan\u003E\u003Cspan\u003EMassachusetts\u003C\/span\u003E\u003C\/span\u003E Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 22, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business Building, 1st Floor, Room 102 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/z38Acce9jVFdDnVKA\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EBridging Natural and Artificial Intelligence with Neural Network Models\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title:\u00a0Bridging Natural and Artificial Intelligence with Neural Network Models"}],"uid":"36319","created_gmt":"2024-02-14 12:42:03","changed_gmt":"2024-02-14 17:20:26","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-02-22T11:00:00-05:00","event_time_end":"2024-02-22T12:00:00-05:00","event_time_end_last":"2024-02-22T12:00:00-05:00","gmt_time_start":"2024-02-22 16:00:00","gmt_time_end":"2024-02-22 17:00:00","gmt_time_end_last":"2024-02-22 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Scheller, Room 102","extras":["free_food"],"hg_media":{"673076":{"id":"673076","type":"image","title":"Chris Cueva Headshot.jpg","body":null,"created":"1707914440","gmt_created":"2024-02-14 12:40:40","changed":"1707914419","gmt_changed":"2024-02-14 12:40:19","alt":"CSE Christopher Cueva","file":{"fid":"256429","name":"Chris Cueva Headshot.jpg","image_path":"\/sites\/default\/files\/2024\/02\/14\/Chris%20Cueva%20Headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/14\/Chris%20Cueva%20Headshot.jpg","mime":"image\/jpeg","size":160019,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/14\/Chris%20Cueva%20Headshot.jpg?itok=pp8dQXXI"}}},"media_ids":["673076"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr \/\u003E\r\nmhigh7@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"672946":{"#nid":"672946","#data":{"type":"event","title":"IC Spring Seminar Series with Guest Speaker Cindy Lin","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EAbstract\u003C\/span\u003E\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\u003E\u003Cspan\u003EClimate change has rapidly undone human control and suppression of environmental disasters. From hurricanes to wildfires, these volatile disasters have called for governments worldwide to revamp their approach to managing climate risks, ranging from the deployment of AI to predict fire weather to the use of global monitoring platforms to detect deforestation. Nowhere is rapid climate change more evident than in Indonesia, where the growing frequency and severity of peatland fires have impacted global carbon cycles and spurred technologists, scientists, and government agencies to use AI for fire prediction and mapping. How do these actors build and\/or understand AI in the fight against climate change, and how can we align the use of such technologies with equitable and sustainable values? In this talk, I show how industry and government computer engineers and environmental scientists work together to predict one of the world\u2019s most volatile and disastrous wildfires: tropical peatland fires in Indonesia. Contrary to popular critiques of AI as a force for eliminating jobs and replacing governments, I argue that the volatility of peatland fires has configured experts into new formations of labor, governance, and expertise in Indonesia. Further, I discuss how my work with Global South experts has informed the development of AI frameworks and data infrastructure for large-scale environmental and climate governance. I end the talk by describing plans for achieving equitable and sustainable climate action on a warming planet.\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\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECindy Lin is an Assistant Professor at the College of Information Sciences and Technology at Pennsylvania State University. She is an information scientist and ethnographer with an interdisciplinary background, focused on the intersection of HCI and Social Computing, AI ethics, critical data studies, and science and technology studies to advance our understanding of AI and sustainability. Her work has been featured in premier computing conferences and humanistic journals, including ACM CHI, CSCW, and DIS, as well as Social Text. She has also published two co-authored books entitled Technoprecarious\u003Cem\u003E\u0026nbsp;\u003C\/em\u003E(MIT Press\/Goldsmiths Press, 2020) and Digital Energetics (University of Minnesota Press, 2023). At the University of Michigan, she earned a PhD in Information and a graduate certificate in Science, Technology, and Society. Before joining Penn State, she was a postdoctoral scholar in the Department of Information Sciences and the Atkinson Center for Sustainability at Cornell University and a visiting fellow at the Digital Life initiative at Cornell Tech.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title \u2014 The Shifting Science and Governance of Climate Volatility with AI\u003C\/strong\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Talk Title \u2014 The Shifting Science and Governance of Climate Volatility with AI"}],"uid":"36530","created_gmt":"2024-02-14 16:21:32","changed_gmt":"2024-02-14 16:23:09","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-02-22T11:00:00-05:00","event_time_end":"2024-02-22T12:00:00-05:00","event_time_end_last":"2024-02-22T12:00:00-05:00","gmt_time_start":"2024-02-22 16:00:00","gmt_time_end":"2024-02-22 17:00:00","gmt_time_end_last":"2024-02-22 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"IC Cafe, Technology Square Research Building, 2nd Floor","extras":[],"hg_media":{"673081":{"id":"673081","type":"image","title":"Lin_Cindy.jpg","body":null,"created":"1707927768","gmt_created":"2024-02-14 16:22:48","changed":"1707927731","gmt_changed":"2024-02-14 16:22:11","alt":"Cindy Lin","file":{"fid":"256435","name":"Lin_Cindy.jpg","image_path":"\/sites\/default\/files\/2024\/02\/14\/Lin_Cindy_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/14\/Lin_Cindy_0.jpg","mime":"image\/jpeg","size":800578,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/14\/Lin_Cindy_0.jpg?itok=2brWVBDG"}}},"media_ids":["673081"],"groups":[{"id":"47223","name":"College of Computing"},{"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":""}},"672945":{"#nid":"672945","#data":{"type":"event","title":"National AI Institute for Adult Learning and Online Education (AI-ALOE) Showcase","body":[{"value":"\u003Cp\u003EJoin us for the inaugural National AI Institute for Adult Learning and Online Education (AI-ALOE) Showcase! Explore cutting-edge advancements in AI for learning and\u0026nbsp;education at this interactive event featuring a series of engaging activities.\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003E3-Minute Madness:\u003C\/strong\u003E\u0026nbsp;Lightning talks highlighting innovative AI-ALOE projects. (11:00 am - 12:00 pm)\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EPosters and Demonstrations:\u003C\/strong\u003E\u0026nbsp;Experience firsthand the latest developments through interactive displays, accompanied by a light lunch. (12:00 pm - 1:00 pm)\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EPanel Discussion:\u003C\/strong\u003E\u0026nbsp;Delve deeper into the intersection of AI and education with insights from Georgia Tech leaders and researchers. (1:00 pm - 2:00 pm)\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003ESave the date and be part of the conversation!\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJoin us for the inaugural National AI Institute for Adult Learning and Online Education (AI-ALOE) Showcase! Explore cutting-edge advancements in AI for learning and\u0026nbsp;education at this interactive event featuring a series of engaging activities.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Don\u0027t miss this opportunity to connect with leaders and innovators in the field of AI-enhanced learning. "}],"uid":"36530","created_gmt":"2024-02-14 16:13:40","changed_gmt":"2024-02-14 16:14:35","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-04-03T11:00:00-04:00","event_time_end":"2024-04-03T14:00:00-04:00","event_time_end_last":"2024-04-03T14:00:00-04:00","gmt_time_start":"2024-04-03 15:00:00","gmt_time_end":"2024-04-03 18:00:00","gmt_time_end_last":"2024-04-03 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Exhibition Hall (2nd Floor)","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1789","name":"Conference\/Symposium"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"672804":{"#nid":"672804","#data":{"type":"event","title":"[Postponed] CSE Faculty Candidate Seminar - Robert Webber","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003EThis CSE faculty recruiting seminar has been postponed from February 13 due to unforeseen circumstances. We will announce the seminar\u0027s date and location at a later time.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003ERobert Webber, CMX postdoctoral fellow at California Institute of Technology\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate: \u003C\/strong\u003ETBD\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;TBD\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ERandomized Matrix Decompositions for Faster Scientific Computing\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Traditional numerical methods based on expensive matrix factorizations struggle with the scale of modern scientific applications. For example, kernel-based algorithms take a data set of size N, form the kernel matrix of size N x N, and then perform an eigendecomposition or inversion at a cost of O(N^3) operations. For data sets of size N \u0026gt;= 10^5, kernel learning is too expensive, straining the limits of personal workstations and even dedicated computing clusters. Randomized iterative methods have emerged as a faster alternative to the classical approaches. These methods combine randomized exploration with information about which matrix structures are important, leading to significant speed gains.\u003C\/span\u003E\u003C\/span\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003EIn this talk, I will review recent developments concerning two randomized algorithms. The first is \u0022randomized block Krylov iteration\u0022, which uses an array of random Gaussian test vectors to probe a large data matrix in order to provide a randomized principal component analysis. Remarkably, this approach works well even when the matrix of interest is not low-rank. The second algorithm is \u0022randomly pivoted Cholesky decomposition\u0022, which iteratively samples columns from a positive semidefinite matrix using a novelty metric and reconstructs the matrix from the randomly sampled columns. Ultimately, both algorithms furnish a randomized approximation of an N x N matrix with a reduced rank k \u0026lt;\u0026lt; N, which enables fast inversion or singular value decomposition at a cost of O(N k^2) operations. The speed-up factor from N^3 to N k^2 operations can be 3 million. The newest algorithms achieve this speed-up factor while guaranteeing performance across a broad range of input matrices.\u003C\/span\u003E\u003C\/span\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Robert Webber is currently a CMX postdoctoral fellow in Caltech\u0027s Department of Computing + Mathematical Sciences, hosted by Joel Tropp. Before that, Robert was a Ph.D. student in mathematics at the Courant Institute of Mathematical Sciences, advised by Jonathan Weare. Robert studies randomized numerical methods and their applications to data science and scientific computation.\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\u003EThis CSE faculty recruiting seminar has been postponed from February 13 due to unforeseen circumstances. We will announce the seminar\u0027s date and location at a later time.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003ERobert Webber, CMX postdoctoral fellow at California Institute of Technology\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate: \u003C\/strong\u003ETBD\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;TBD\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ERandomized Matrix Decompositions for Faster Scientific Computing\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title:\u00a0Randomized Matrix Decompositions for Faster Scientific Computing"}],"uid":"36319","created_gmt":"2024-02-07 02:38:36","changed_gmt":"2024-02-12 18:29:06","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-02-13T11:00:00-05:00","event_time_end":"2024-02-13T12:00:00-05:00","event_time_end_last":"2024-02-13T12:00:00-05:00","gmt_time_start":"2024-02-13 16:00:00","gmt_time_end":"2024-02-13 17:00:00","gmt_time_end_last":"2024-02-13 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, 9th Floor Atrium","extras":["free_food"],"hg_media":{"672996":{"id":"672996","type":"image","title":"Robert Webber Headshot.jpg","body":null,"created":"1707273561","gmt_created":"2024-02-07 02:39:21","changed":"1707273561","gmt_changed":"2024-02-07 02:39:21","alt":"CSE Robert Webber","file":{"fid":"256336","name":"Robert Webber Headshot.jpg","image_path":"\/sites\/default\/files\/2024\/02\/06\/Robert%20Webber%20Headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/06\/Robert%20Webber%20Headshot.jpg","mime":"image\/jpeg","size":503073,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/06\/Robert%20Webber%20Headshot.jpg?itok=oicaNdB1"}}},"media_ids":["672996"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr \/\u003E\r\nmhigh7@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"672805":{"#nid":"672805","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Qi Tang","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EQi Tang, \u003Cspan\u003E\u003Cspan\u003Estaff scientist at Los Alamos National Laboratory\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 15, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, First Floor, Room 114 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EBridging Scales in Fusion Plasmas through Scalable Numerical Algorithms and Structure-Preserving Machine Learning\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Fusion plasmas exhibit extreme ranges of scales and high dimensionality, placing high-fidelity models well beyond the reach of current algorithms and computers. In this talk, I will discuss two distinct algorithms capable of bridging a wide range of length and time scales in plasma science.\u003C\/span\u003E\u003C\/span\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003EThe first part focuses on the magnetohydrodynamics (MHD) equations that are an important fluid model to describe large scale instabilities in fusion devices. However, efficient numerical solution methods for MHD are challenging due to multiscale nature, strong hyperbolic phenomena, and nonlinearity. I will discuss the development of a high order stabilized finite element solver to overcome these challenges. Bridging temporal scale is achieved through a fully implicit solver with physics-based preconditioning, while the spatial scale separation is overcome via an implicit AMR algorithm. An island coalescence problem will be presented to show the advantages of resolving scales.\u003C\/span\u003E\u003C\/span\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003EThe second part explores structure-preserving machine learning for singularly perturbed dynamical systems. A powerful and well-known tool to address these systems is the Fenichel normal form, which significantly simplifies fast dynamics near slow manifolds. I will discuss a novel way of its realization using structure-preserving machine learning. Specifically, a fast-slow neural network is proposed, enforcing the existence of a trainable, attractive invariant slow manifold as a hard constraint. Analytical representation of the slow manifold enables efficient integration on the slow time scale and significantly improves prediction accuracy beyond training time horizon. To illustrate the power of FSNN, I will show a fusion-related example that models radiation reaction of electrons in a tokamak.\u003C\/span\u003E\u003C\/span\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Qi Tang is a Staff Scientist in the Applied Mathematics and Plasma Physics Group in the Theoretical Division at Los Alamos National Laboratory (LANL). He received his Ph.D. in applied math from Michigan State University in 2015 and BS in math \u0026amp; applied math from Zhejiang University in 2010. Before joining LANL in 2018 he was the Eliza Ricketts Foundation Postdoctoral Fellow at Rensselaer Polytechnic Institute. His research interests include: MHD, kinetic modeling, scalable numerical algorithms, multi-physics and multi-scale problems, and scientific machine learning. His current research is supported by DOE Office of Science ASCR and FES programs and the LANL LDRD program.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EQi Tang, \u003Cspan\u003E\u003Cspan\u003Estaff scientist at Los Alamos National Laboratory\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 15, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, First Floor, Room 114 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EBridging Scales in Fusion Plasmas through Scalable Numerical Algorithms and Structure-Preserving Machine Learning\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title:\u00a0Bridging Scales in Fusion Plasmas through Scalable Numerical Algorithms and Structure-Preserving Machine Learning"}],"uid":"36319","created_gmt":"2024-02-07 02:45:24","changed_gmt":"2024-02-08 19:27:14","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-02-15T11:00:00-05:00","event_time_end":"2024-02-15T12:00:00-05:00","event_time_end_last":"2024-02-15T12:00:00-05:00","gmt_time_start":"2024-02-15 16:00:00","gmt_time_end":"2024-02-15 17:00:00","gmt_time_end_last":"2024-02-15 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":["free_food"],"hg_media":{"672997":{"id":"672997","type":"image","title":"Q_Tang.jpg","body":null,"created":"1707273934","gmt_created":"2024-02-07 02:45:34","changed":"1707273934","gmt_changed":"2024-02-07 02:45:34","alt":"CSE Qi Tang","file":{"fid":"256337","name":"Q_Tang.jpg","image_path":"\/sites\/default\/files\/2024\/02\/06\/Q_Tang.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/06\/Q_Tang.jpg","mime":"image\/jpeg","size":468451,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/06\/Q_Tang.jpg?itok=RxoZn2Ur"}}},"media_ids":["672997"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr \/\u003E\r\nmhigh7@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"672667":{"#nid":"672667","#data":{"type":"event","title":"SCP Faculty Candidate Seminar - Inigo Incer","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EWho? \u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003EInigo Incer\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\u003Cstrong\u003E\u003Cspan\u003EWhat?\u003C\/span\u003E\u003C\/strong\u003E \u003Cspan\u003E\u003Cspan\u003EFormal and Efficient Analysis and Design of Complex Systems\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\/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\u003EWhen?\u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003E Tuesday, February 06, 2024 @ 11 a.m.\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\u003Cstrong\u003E\u003Cspan\u003EWhere? \u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003ECODA 9th floor Atrium 0920 or virtually on \u003Ca href=\u0022https:\/\/gatech.zoom.us\/webinar\/register\/WN_I_NIDrazS-OFf0VqMOR4Vg\u0022\u003EZoom\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\/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\u003Cstrong\u003EWill there be free lunch?\u003C\/strong\u003E \u003Cstrong\u003EYES!\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\/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\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\u003Ch4\u003EAdditional information\u003C\/h4\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\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\u003Cstrong\u003E\u003Cspan\u003EAbstract: \u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EThe task of system design is shared by all engineering disciplines, each coming\u003C\/span\u003E\u003C\/span\u003E\u202f\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\/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\u003Ewith its own techniques. In spite of their differences in tools, there is large\u202f\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\/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\u003Eintersection in their conceptual approach to design. In this talk, we exploit\u202f\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\/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\u003Ethis commonality to take an abstract view of systems and their composition. We\u202f\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\/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\u003Eunderstand systems and subsystems in terms of their assume-guarantee\u202f\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\/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\u003Especifications, or contracts.\u202f\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\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u202f\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\u003Cspan\u003E\u003Cspan\u003EAssume-guarantee contracts are formal specifications that state (i) the\u202f\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\/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\u003Eassumptions that a design element makes on its environment and (ii) the\u202f\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\/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\u003Eguarantees it delivers when the environment behaves according to the contract\u0027s\u202f\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\/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\u003Eassumptions. Contracts come with a rich algebra that allows us to carry out\u202f\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\/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\u003Eseveral design-relevant tasks: obtaining system-level specifications from\u202f\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\/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\u003Ecomponent specifications, finding specifications of components that need to be\u202f\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\/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\u003Eadded to a design in order to meet an objective, etc. We will introduce the\u202f\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\/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\u003Ealgebra of contracts and discuss how the various algebraic operations relate to\u202f\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\/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\u003Esystem-design tasks. We will discuss hypercontracts, an extension of\u202f\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\/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\u003Eassume-guarantee reasoning to support the formal analysis of key security and\u202f\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\/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\u003Erobustness properties. We will also discuss the application of this methodology\u202f\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\/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\u003Eand Pacti, a software package that supports system design using contracts, in\u202f\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\/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\u003Eapplications ranging from space-mission design to synthetic biology.\u202f\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\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\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\u003Cstrong\u003E\u003Cspan\u003EBio: \u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EInigo Incer is a postdoctoral researcher at Caltech and UC Berkeley. He obtained\u003C\/span\u003E\u003C\/span\u003E\u202f\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\/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\u003Ehis PhD from UC Berkeley in 2022 under the guidance of Alberto\u202f\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\/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\u003ESangiovanni-Vincentelli. He is interested in all aspects of cyber-physical\u202f\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\/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\u003Esystems, emphasizing formal methods and AI that support their compositional\u202f\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\/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\u003Edesign and analysis. Before pursuing a PhD, Inigo was an IC designer in Austin.\u202f\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\/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\u003EHis work has been supported by the NSF\/ASEE eFellows program and the UC Berkeley\u202f\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\/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\u003EChancellor\u0027s Fellowship.\u202f\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\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\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\u003EZoom Link: \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\u003Ehttps:\/\/gatech.zoom.us\/webinar\/register\/WN_I_NIDrazS-OFf0VqMOR4Vg\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EOn \u003Cspan\u003ETuesday, February 06, 2024 @ 11 a.m., \u003C\/span\u003Ethe School of Cybersecurity and Privacy will be hosting \u003Cspan\u003EInigo Incer, a postdoctoral researcher at Caltech and UC Berkeley. Join us for Inigo\u0027s talk, \u003Cem\u003E\u003Cspan\u003EFormal and Efficient Analysis and Design of Complex Systems\u003C\/span\u003E\u003C\/em\u003E\u003C\/span\u003E\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003E, \u003C\/span\u003E\u003C\/span\u003E\u003C\/em\u003E\u003Cspan\u003E\u003Cspan\u003Eand grab a free lunch on us! More details below.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Come join the School of Cybersecurity and Privacy for an engaging talk and free lunch!"}],"uid":"36253","created_gmt":"2024-02-01 16:55:53","changed_gmt":"2024-02-01 19:46:14","author":"John Popham","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-02-06T11:00:00-05:00","event_time_end":"2024-02-06T12:00:00-05:00","event_time_end_last":"2024-02-06T12:00:00-05:00","gmt_time_start":"2024-02-06 16:00:00","gmt_time_end":"2024-02-06 17:00:00","gmt_time_end_last":"2024-02-06 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"CODA 9th floor Atrium 0920","extras":["free_food"],"hg_media":{"672932":{"id":"672932","type":"image","title":"Incer.png","body":null,"created":"1706806684","gmt_created":"2024-02-01 16:58:04","changed":"1706806684","gmt_changed":"2024-02-01 16:58:04","alt":"man with glasses","file":{"fid":"256264","name":"Incer.png","image_path":"\/sites\/default\/files\/2024\/02\/01\/Incer.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/02\/01\/Incer.png","mime":"image\/png","size":109777,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/02\/01\/Incer.png?itok=Ic4EYr1X"}}},"media_ids":["672932"],"related_links":[{"url":"https:\/\/gatech.zoom.us\/webinar\/register\/WN_I_NIDrazS-OFf0VqMOR4Vg","title":"Virtual Attendance Available Through Zoom (Registration through gatech Zoom account is required) "}],"groups":[{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[{"id":"193480","name":"Cyber Attack; cyber threats report; cybersecurity; talk; seminar; "}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EThe School of Cybersecurity and Privacy\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca\u003Eemail: scp@\u003C\/a\u003E\u003Ca target=\u0022_blank\u0022\u003Ecc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"672570":{"#nid":"672570","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Yuke Wang","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EYuke Wang, Ph.D. student at University of California, Santa Barbara\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, February 6, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Second Floor, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EIntelligent Software in the Era of Deep Learning\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EWith the end of Moore\u0027s Law and the rise of compute- and data-intensive deep-learning (DL) applications, the focus on arduous new processor design has shifted towards a more effective and agile approach -- Intelligent Software to maximize the performance gains of DL hardware like GPUs.\u003C\/span\u003E\u003C\/span\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003EIn this talk, I will first highlight the importance of software innovation to bridge the gap between the increasingly diverse DL applications and the existing powerful DL hardware platforms. The second part of my talk will recap my research work on DL system software innovation, focusing on bridging the 1) Precision Mismatch between DL applications and high-performance GPU units like Tensor Cores (PPoPP \u002721 and SC \u002721), and 2) Computing Pattern Mismatch between the sparse and irregular DL applications such as Graph Neural Networks and the dense and regular tailored GPU computing paradigm (OSDI \u002721 and OSDI \u002723). Finally, I will conclude this talk with my vision and future work for building efficient, scalable, and secure DL systems.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EYuke Wang is a final-year Doctor of Philosophy (Ph.D.) candidate in the Department of computer science at the University of California, Santa Barbara (UCSB). He got his Bachelor of Engineering (B.E.) in software engineering from the University of Electronic Science and Technology of China (UESTC) in 2018. At UCSB, Yuke is working with Prof. Yufei Ding (Now at UC at San Diego, CSE). Yuke\u0027s research interests include Systems \u0026amp; Compiler for Deep Learning and GPU-based High-performance Computing. His projects cover graph neural network (GNN) optimization and its acceleration on GPUs. Yuke\u2019s research has resulted in 20+ publications (with 10 first-authored papers) in top-tier conferences, including OSDI, ASPLOS, ISCA, USENIX ATC, PPoPP, and SC. Yuke\u2019s research outcome has been adopted for further research in industries (e.g., NVIDIA, OctoML, and Alibaba) and academia (e.g., University of Washington and Pacific Northwest National Laboratory). Yuke is also the recipient of the NVIDIA Graduate Fellowship 2022 (Top-10 out of global applicants) and has industry experience at Microsoft Research, NVIDIA Research, and Alibaba. The ultimate goal of Yuke\u2019s research is to facilitate efficient, scalable, and secure deep learning in the future.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EYuke Wang, Ph.D. student at University of California, Santa Barbara\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, February 6, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Second Floor, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EIntelligent Software in the Era of Deep Learning\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title:\u00a0Intelligent Software in the Era of Deep Learning"}],"uid":"36319","created_gmt":"2024-01-30 19:09:04","changed_gmt":"2024-01-30 20:18:31","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-02-06T11:00:00-05:00","event_time_end":"2024-02-06T12:00:00-05:00","event_time_end_last":"2024-02-06T12:00:00-05:00","gmt_time_start":"2024-02-06 16:00:00","gmt_time_end":"2024-02-06 17:00:00","gmt_time_end_last":"2024-02-06 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":[],"hg_media":{"672904":{"id":"672904","type":"image","title":"Yuke Wang Headshot_1.jpg","body":null,"created":"1706641764","gmt_created":"2024-01-30 19:09:24","changed":"1706641764","gmt_changed":"2024-01-30 19:09:24","alt":"Yuke Wang, UCSB","file":{"fid":"256233","name":"Yuke Wang Headshot_1.jpg","image_path":"\/sites\/default\/files\/2024\/01\/30\/Yuke%20Wang%20Headshot_1.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/01\/30\/Yuke%20Wang%20Headshot_1.jpg","mime":"image\/jpeg","size":39111,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/01\/30\/Yuke%20Wang%20Headshot_1.jpg?itok=7EM41UGt"}}},"media_ids":["672904"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr \/\u003E\r\nmhigh7@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"672574":{"#nid":"672574","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Tim Dettmers","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ETim Dettmers, Ph.D. student at University of Washington\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, February 20, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Second Floor, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EAccessible Foundation Models: Systems, Algorithms, and Science\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EThe ever-increasing scale of foundation models, such as ChatGPT and AlphaFold, has revolutionized AI and science more generally. However, increasing scale also steadily raises computational barriers, blocking almost everyone from studying, adapting, or otherwise using these models for anything beyond static API queries. In this talk, I will present research that significantly lowers these barriers for a wide range of use cases, including inference algorithms that are used to make predictions after training, finetuning approaches that adapt a trained model to new data, and finally, full training of foundation models from scratch.\u0026nbsp; For inference, I will describe our LLM.int8() algorithm, which showed how to enable high-precision 8-bit matrix multiplication that is both fast and memory efficient. LLM.int8() is based on the discovery and characterization of sparse outlier sub-networks that only emerge at large model scales but are crucial for effective Int8 quantization. For finetuning, I will introduce the QLoRA algorithm, which pushes such quantization much further to unlock finetuning of very large models on a single GPU by only updating a small set of the parameters while keeping most of the network in a new information-theoretically optimal 4-bit representation. For full training, I will present SWARM parallelism, which allows collaborative training of foundation models across continents on standard internet infrastructure while still being 80% as effective as the prohibitively expensive supercomputers that are currently used. Finally, I will close by outlining my plans to make foundation models 100x more accessible, which will be needed to maintain truly open AI-based scientific innovation as models continue to scale.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003ETim Dettmers\u2019s research focuses on making foundation models, such as ChatGPT, accessible to researchers and practitioners by reducing their resource requirements. This involves developing novel compression and networking algorithms and building systems that allow for memory-efficient, fast, and cheap deep learning. These methods enable many more people to use, adapt, or train foundation models without affecting the quality of AI predictions or generations. He is a PhD candidate at the University of Washington and has won oral, spotlight, and best paper awards at conferences such as ICLR and NeurIPS. He created the bitsandbytes library for efficient deep learning, which is growing at 1.4 million installations per month and received Google Open Source and PyTorch Foundation awards.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ETim Dettmers, Ph.D. student at University of Washington\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, February 20, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Second Floor, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EAccessible Foundation Models: Systems, Algorithms, and Science\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title:\u00a0Accessible Foundation Models: Systems, Algorithms, and Science"}],"uid":"36319","created_gmt":"2024-01-30 20:17:03","changed_gmt":"2024-01-30 20:18:23","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-02-20T11:00:00-05:00","event_time_end":"2024-02-20T12:00:00-05:00","event_time_end_last":"2024-02-20T12:00:00-05:00","gmt_time_start":"2024-02-20 16:00:00","gmt_time_end":"2024-02-20 17:00:00","gmt_time_end_last":"2024-02-20 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":[],"hg_media":{"672907":{"id":"672907","type":"image","title":"Tim Dettmers.png","body":null,"created":"1706645832","gmt_created":"2024-01-30 20:17:12","changed":"1706645832","gmt_changed":"2024-01-30 20:17:12","alt":"Tim Dettmers- UW","file":{"fid":"256236","name":"Tim Dettmers.png","image_path":"\/sites\/default\/files\/2024\/01\/30\/Tim%20Dettmers.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/01\/30\/Tim%20Dettmers.png","mime":"image\/png","size":455529,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/01\/30\/Tim%20Dettmers.png?itok=paRELWU4"}}},"media_ids":["672907"],"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":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr \/\u003E\r\nmhigh7@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"672573":{"#nid":"672573","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Haoyu Cheng","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EHaoyu Cheng, postdoctoral scholar at \u003Cspan\u003E\u003Cspan\u003EDana-Farber Cancer Institute and Harvard Medical School\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 8, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Second Floor, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EDigital Genome Reconstruction with De Novo Assembly\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EDe novo genome assembly, a methodology that reconstructs the genome without relying on a reference, has been a central problem and remains one of the most challenging tasks in bioinformatics for four decades. With the advancement of long-read sequencing technologies, assembly algorithms now have the capacity to routinely reconstruct high-quality diploid human genomes at an affordable cost. This significant progress facilitates comprehensive research and clinical studies on even the most complex genomes, as well as paves the way to the personal genome era. In this talk, I will present a suite of algorithms that I built for de novo genome assembly, including hifiasm (Cheng et al, Nature Methods, 2021), hifiasm (Hi-C) (Cheng et al, Nature Biotechnology, 2022) and hifiasm (UL) (Cheng et al, Nature Methods, accepted, 2024). These algorithms are designed to generate optimal genome assemblies by integrating various data types. Furthermore, this talk will explore potential improvement to the de novo genome assembly methodology and its application in emerging research areas.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EHaoyu Cheng is a Postdoctoral Scholar working with Dr. Heng Li at Dana-Farber Cancer Institute and Harvard Medical School. Previously he obtained his Ph.D. degree in Computer Science from the University of Science and Technology of China. His research primarily focuses on developing computational methods for genomic data, with a particular emphasis on de novo genome assembly and its applications. His hifiasm algorithm has been widely used and has already become the dominant long-read genome assembler since its publication in 2021. In under three years, hifiasm has garnered over 1,600 citations, and has been funded by the K99\/R00 Pathway award from the National Institutes of Health (NIH).\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EHaoyu Cheng, postdoctoral scholar at \u003Cspan\u003E\u003Cspan\u003EDana-Farber Cancer Institute and Harvard Medical School\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 8, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Second Floor, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EDigital Genome Reconstruction with De Novo Assembly\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title:\u00a0Digital Genome Reconstruction with De Novo Assembly"}],"uid":"36319","created_gmt":"2024-01-30 20:12:38","changed_gmt":"2024-01-30 20:14:18","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-02-08T11:00:00-05:00","event_time_end":"2024-02-08T12:00:00-05:00","event_time_end_last":"2024-02-08T12:00:00-05:00","gmt_time_start":"2024-02-08 16:00:00","gmt_time_end":"2024-02-08 17:00:00","gmt_time_end_last":"2024-02-08 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":[],"hg_media":{"672906":{"id":"672906","type":"image","title":"Haoyu Cheng Headshot.jpg","body":null,"created":"1706645577","gmt_created":"2024-01-30 20:12:57","changed":"1706645577","gmt_changed":"2024-01-30 20:12:57","alt":"Haoyu Cheng","file":{"fid":"256235","name":"Haoyu Cheng Headshot.jpg","image_path":"\/sites\/default\/files\/2024\/01\/30\/Haoyu%20Cheng%20Headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/01\/30\/Haoyu%20Cheng%20Headshot.jpg","mime":"image\/jpeg","size":58991,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/01\/30\/Haoyu%20Cheng%20Headshot.jpg?itok=QS0gr-Ww"}}},"media_ids":["672906"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr \/\u003E\r\nmhigh7@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"672483":{"#nid":"672483","#data":{"type":"event","title":"College of Computing Faculty Candidate Seminar - Rosanna Bellini ","body":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003E\u003Cstrong lang=\u0022EN-US\u0022\u003E\u003Cspan\u003ETalk Title:\u003C\/span\u003E\u003C\/strong\u003E\u003Cspan lang=\u0022EN-US\u0022\u003E\u003Cspan\u003E \u003C\/span\u003E\u003C\/span\u003E\u003Cspan lang=\u0022EN-US\u0022\u003E\u003Cspan\u003EDecoding Abusive Adversaries for Safer Digital Systems\u003C\/span\u003E\u003C\/span\u003E\u003Cspan\u003E\u0026nbsp;\u003C\/span\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003E\u003Cstrong lang=\u0022EN-US\u0022\u003E\u003Cspan\u003EAbstract:\u003C\/span\u003E\u003Cspan\u003E \u003C\/span\u003E\u003C\/strong\u003E\u003Cspan lang=\u0022EN-US\u0022\u003E\u003Cspan\u003EP\u003C\/span\u003E\u003C\/span\u003E\u003Cspan lang=\u0022EN-US\u0022\u003E\u003Cspan\u003Eeople today face threats to their digital safety that most computing systems were never designed to protect them from: those closest to them. Abusive adversaries take ample advantage of standard user interfaces and ineffective anti-abuse mechanisms, \u003C\/span\u003E\u003Cspan\u003Eleveraging\u003C\/span\u003E\u003Cspan\u003E their close social and physical proximity to their target to stalk, harass, and control. In this talk, I describe my research focused on intimate partner violence where I: (1) pioneer approaches to engaging with abusive adversaries \u003C\/span\u003E\u003Cspan\u003Efirst hand\u003C\/span\u003E\u003Cspan\u003E across online and in-person contexts, (2) design and deploy bespoke systems to challenge abusive behaviors via community-based interventions; and (3) develop new frameworks for building abuse-resilient technologies. I outline my research vision to achieve digital safety for all people across critical domains, including finance, healthcare, and research.\u003C\/span\u003E\u003C\/span\u003E\u003Cspan\u003E\u0026nbsp; \u003C\/span\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003E\u003Cstrong lang=\u0022EN-US\u0022\u003E\u003Cspan\u003EBio:\u003C\/span\u003E\u003Cspan\u003E \u003C\/span\u003E\u003C\/strong\u003E\u003Cspan lang=\u0022EN-US\u0022\u003E\u003Cspan\u003ERosanna Bellini is a Postdoctoral Associate at Cornell Tech in New York City. Her research develops data-driven and engaged research methods to tackle complex societal challenges, such as technology-enabled harms. Her work has been published in top-tier HCI and Security venues including USENIX Security, IEEE S\u0026amp;P, CHI, and CSCW, and featured in The Guardian, and BBC News. Her work is also recognized by multiple CHI and CSCW Best Paper awards, USENIX Security Distinguished Paper awards, and has led to changes in legislation for consumers and to consumer-facing financial applications for tens of millions of customers. She also helps to lead the Clinic to End Tech Abuse, a frontline service for survivors of technology-facilitated \u003C\/span\u003E\u003Cspan\u003Eabuse, and\u003C\/span\u003E\u003Cspan\u003E has personally helped over 150 survivors reclaim their privacy, security, and financial freedom.\u003C\/span\u003E\u003C\/span\u003E\u003Cspan\u003E\u0026nbsp;\u003C\/span\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\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\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EPresentation Title:\u003C\/span\u003E\u003C\/strong\u003E\u0026nbsp; \u003Cspan lang=\u0022EN\u0022\u003E\u003Cspan\u003EDecoding Abusive Adversaries for Safer Digital Systems\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\u003Cstrong\u003E\u003Cspan\u003EPresentation Date:\u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003E\u0026nbsp;Thursday, February 01, 2024 @ 11 am\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\u003Cstrong\u003E\u003Cspan\u003ELocation:\u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003E\u0026nbsp;CODA 9th\u0026nbsp;floor Atrium 0920\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\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ELunch will be provided!\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\/strong\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The College of Computing invites you to attend a talk by Rosanna Bellini, Postdoctoral Associate at Cornell University."}],"uid":"36253","created_gmt":"2024-01-26 17:27:55","changed_gmt":"2024-01-29 14:40:45","author":"John Popham","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-02-01T11:00:00-05:00","event_time_end":"2024-02-01T12:00:00-05:00","event_time_end_last":"2024-02-01T12:00:00-05:00","gmt_time_start":"2024-02-01 16:00:00","gmt_time_end":"2024-02-01 17:00:00","gmt_time_end_last":"2024-02-01 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda","extras":["free_food"],"hg_media":{"672882":{"id":"672882","type":"image","title":"Bellini.jpg","body":null,"created":"1706290094","gmt_created":"2024-01-26 17:28:14","changed":"1706290094","gmt_changed":"2024-01-26 17:28:14","alt":"Woman with long brown hair","file":{"fid":"256209","name":"Bellini copy.jpg","image_path":"\/sites\/default\/files\/2024\/01\/26\/Bellini%20copy.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/01\/26\/Bellini%20copy.jpg","mime":"image\/jpeg","size":514439,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/01\/26\/Bellini%20copy.jpg?itok=QOTgy9qF"}}},"media_ids":["672882"],"related_links":[{"url":"https:\/\/gatech.zoom.us\/webinar\/register\/WN_zRboMxYQQDmFU4ndtrS05Q","title":"Virtual Attendance Available Through Zoom"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"672484":{"#nid":"672484","#data":{"type":"event","title":"College of Computing Faculty Candidate Seminar - Emily Tseng","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EPresentation Title:\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp; \u003Cspan\u003EDigital Safety and Security for Survivors of Technology-Mediated Harms\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EAbstract: \u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003EPlatforms\u003Cspan\u003E, devices, and algorithms are increasingly weaponized to control and harass the most vulnerable among us. Some of these harms occur at the individual and interpersonal level: for example, abusers in intimate partner violence (IPV) use smartphones and social media to surveil and stalk their victims. Others are more subtle, at the level of social structure: for example, in organizations, workplace technologies can inadvertently scaffold exploitative labor practices. This talk will discuss my research (1) investigating these harms via online measurement studies, (2) building interventions to directly assist survivors with their security and privacy; and (3) instrumenting these interventions, to enable scientific research into new types of harms as attackers and technologies evolve. I will close by sharing my vision for centering inclusion and equity in digital safety, security and privacy, towards brighter technological futures for us all.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003E \u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EBio: \u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003EEmily Tseng is a PhD candidate in Information Science at Cornell University. Her research explores the systems, interventions, and design principles we need to make digital technology safe and affirming for everyone. Emily\u2019s work has been published at top-tier venues in human-computer interaction (ACM CHI, CSCW) and computer security and privacy (USENIX Security, IEEE Oakland). For 6 years, she has served as a researcher-practitioner with the Clinic to End Tech Abuse, where her work has enabled specialized security services for over 600 survivors of intimate partner violence (IPV). Emily is the recipient of a Microsoft Research PhD Fellowship, Rising Stars in EECS, Best Paper Awards at CHI, CSCW, and USENIX Security, and third place in the Internet Defense Prize. She has additionally completed internships at Google and with the Social Media Collective at Microsoft Research. She holds a B.A. from Princeton University.\u003C\/span\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EPresentation Date:\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;\u003C\/span\u003ETuesday, January 30, 2024 @ 11 am\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003ELocation:\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;\u003C\/span\u003ECODA 9th\u003Cspan\u003E\u0026nbsp;\u003C\/span\u003Efloor Atrium 0920\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EPresentation Title:\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp; \u003Cspan\u003EDigital Safety and Security for Survivors of Technology-Mediated Harms\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELunch Provided!\u003C\/strong\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The College of Computing invites you to attend a talk by Emily Tseng, Ph.D. candidate at Cornell University."}],"uid":"36253","created_gmt":"2024-01-26 17:43:48","changed_gmt":"2024-01-29 14:39:23","author":"John Popham","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-01-30T11:00:00-05:00","event_time_end":"2024-01-30T12:00:00-05:00","event_time_end_last":"2024-01-30T12:00:00-05:00","gmt_time_start":"2024-01-30 16:00:00","gmt_time_end":"2024-01-30 17:00:00","gmt_time_end_last":"2024-01-30 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda Building","extras":["free_food"],"hg_media":{"672883":{"id":"672883","type":"image","title":"Tseng.png","body":null,"created":"1706291034","gmt_created":"2024-01-26 17:43:54","changed":"1706291034","gmt_changed":"2024-01-26 17:43:54","alt":"Woman with long dark hair","file":{"fid":"256210","name":"Tseng.png","image_path":"\/sites\/default\/files\/2024\/01\/26\/Tseng.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/01\/26\/Tseng.png","mime":"image\/png","size":161982,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/01\/26\/Tseng.png?itok=OkqRSkNi"}}},"media_ids":["672883"],"related_links":[{"url":"https:\/\/gatech.zoom.us\/webinar\/register\/WN_-YoT-C2hSOaXgjePlAFo5g","title":"Virtual Attendance Available Through Zoom"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"672255":{"#nid":"672255","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Jingyan Wang","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EJingyan\u0026nbsp;Wang, postdoctoral fellow at Georgia Tech\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, January 25, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Second Floor, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EUnderstanding and Improving High-Stakes Decision Making: People, Algorithms, and Design\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003EHigh-stakes evaluation problems \u2013 to estimate the quality of items or people \u2013 arise in many real-world applications such as admissions, grading, and hiring. My research focuses on understanding and improving these evaluation problems along the dimensions of accuracy, fairness, efficiency, and reliability. In this talk, I describe one line of my research on correcting human bias under different behavioral models. The first type of bias arises in a sequential setting such as sports competitions and court decisions, where an evaluator rates candidates in an online, irrevocable fashion. I propose a natural model for the evaluator\u0027s rating process that captures the lack of calibration inherent to this task, and conduct crowdsourcing experiments to support various facets of the model. I propose an efficient bias correction algorithm and show that it is information-theoretically optimal in terms of common ranking error metrics. I also briefly describe a second type of bias arising from people\u2019s experiences that are irrelevant to the evaluation objective. For example, in teaching evaluation, students who receive higher grades are more positive towards their instructors. In such scenarios, I propose an adaptive algorithm that corrects student ratings under very mild non-parametric assumptions for the biases.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003EJingyan Wang is a President\u0027s postdoctoral fellow in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. She received her Ph.D. from the School of Computer Science at Carnegie Mellon University, advised by Nihar Shah, and her B.S. in Electrical Engineering and Computer Sciences with a minor in Mathematics from the University of California, Berkeley. She uses tools from statistics and machine learning to understand and improve high-stakes decision-making systems such as those involving hiring and admissions. Her interdisciplinary research has been published in top venues in statistics, machine learning, artificial intelligence, human computation, and economics and computation. She is the recipient of the Best Student Paper Award at AAMAS 2019, and was selected as a Rising Star in EECS and in Data Science.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EJingyan\u0026nbsp;Wang, postdoctoral fellow at Georgia Tech\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, January 25, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Second Floor, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EUnderstanding and Improving High-Stakes Decision Making: People, Algorithms, and Design\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title:\u00a0Understanding and Improving High-Stakes Decision Making: People, Algorithms, and Design"}],"uid":"36319","created_gmt":"2024-01-18 15:04:20","changed_gmt":"2024-01-22 15:39:44","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-01-25T11:00:00-05:00","event_time_end":"2024-01-25T12:00:00-05:00","event_time_end_last":"2024-01-25T12:00:00-05:00","gmt_time_start":"2024-01-25 16:00:00","gmt_time_end":"2024-01-25 17:00:00","gmt_time_end_last":"2024-01-25 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":[],"hg_media":{"672789":{"id":"672789","type":"image","title":"Jingyan Wang copy.jpg","body":null,"created":"1705590291","gmt_created":"2024-01-18 15:04:51","changed":"1705590291","gmt_changed":"2024-01-18 15:04:51","alt":"Jingyan Wang ISyE","file":{"fid":"256106","name":"Jingyan Wang copy.jpg","image_path":"\/sites\/default\/files\/2024\/01\/18\/Jingyan%20Wang%20copy.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/01\/18\/Jingyan%20Wang%20copy.jpg","mime":"image\/jpeg","size":142609,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/01\/18\/Jingyan%20Wang%20copy.jpg?itok=tAC-KExp"}}},"media_ids":["672789"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr \/\u003E\r\nmhigh7@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"672057":{"#nid":"672057","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Angelina Wang","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EAngelina Wang, Ph.D. student at Princeton University\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, January 23, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Second Floor, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EOperationalizing Responsible Machine Learning: From Equality Towards Equity\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003EWith the widespread proliferation of machine learning, there arises both the opportunity for societal benefit as well as the risk of harm. Approaching responsible machine learning is difficult because technical approaches may build on too many layers of abstraction, ending up prioritizing a mathematical definition of fairness that correlates poorly to real-world constructs of fairness. On the other hand, social approaches engaging with prescriptive theories may produce findings that are too abstract to translate well into practice. In my research, I bridge these approaches and use social implications to guide technical work. I will discuss three research directions that show how although the technically convenient thing to do is consider equality acontextually, through stronger engagement with societal context we can operationalize a more equitable formulation. First, I will introduce a dataset tool that we built to analyze complex, socially-grounded forms of visual bias. Then, I will give empirical evidence to support how we should incorporate societal context in bringing intersectionality into machine learning. Finally, I will talk about how to formulate the evaluation metric of bias amplification based on more realistic assumptions about the state of the world. Overall, I will cover how we can expand a narrow focus on equality in responsible machine learning to a broader understanding of equity that substantively engages with societal context.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003EAngelina Wang is a computer science Ph.D. student at Princeton University advised by Olga Russakovsky. Her research is in the area of machine learning fairness and algorithmic bias. She has been recognized by the NSF GRFP, EECS Rising Stars, and Siebel Scholarship. She has published in top machine learning (ICML, AAAI), computer vision (ICCV, IJCV), and responsible computing (FAccT, JRC) venues, including spotlight and oral presentations. Previously, she has interned with Microsoft Research and Arthur AI, and received a B.S. in Electrical Engineering and Computer Science from UC Berkeley.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EAngelina Wang, Ph.D. student at Princeton University\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, January 23, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, Second Floor, Room 230 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EOperationalizing Responsible Machine Learning: From Equality Towards Equity\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title:\u00a0Operationalizing Responsible Machine Learning: From Equality Towards Equity"}],"uid":"36319","created_gmt":"2024-01-11 20:47:02","changed_gmt":"2024-01-22 15:39:05","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-01-23T11:00:00-05:00","event_time_end":"2024-01-23T12:00:00-05:00","event_time_end_last":"2024-01-23T12:00:00-05:00","gmt_time_start":"2024-01-23 16:00:00","gmt_time_end":"2024-01-23 17:00:00","gmt_time_end_last":"2024-01-23 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":[],"hg_media":{"672745":{"id":"672745","type":"image","title":"Angelina Wang Headshot.jpg","body":null,"created":"1705006040","gmt_created":"2024-01-11 20:47:20","changed":"1705006040","gmt_changed":"2024-01-11 20:47:20","alt":"Angelina Wang Seminar","file":{"fid":"256041","name":"Angelina Wang Headshot.jpg","image_path":"\/sites\/default\/files\/2024\/01\/11\/Angelina%20Wang%20Headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/01\/11\/Angelina%20Wang%20Headshot.jpg","mime":"image\/jpeg","size":847057,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/01\/11\/Angelina%20Wang%20Headshot.jpg?itok=i4KlLXc_"}}},"media_ids":["672745"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"9167","name":"machine learning"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr \/\u003E\r\nmhigh7@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"672268":{"#nid":"672268","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Shuyan Zhou","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EShuyan Zhou, Ph.D. student at Carnegie Mellon University\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 1, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, First Floor, Room 114 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003ESolving Real-World Tasks with AI Agents\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EFor years, my dream has been to create autonomous AI agents capable of carrying out tedious procedural tasks (e.g., arranging conference travel), allowing me to focus on more creative and exciting tasks. Modern AI models, especially large language models (LLMs) like ChatGPT, have suddenly brought us much closer to achieving such AI agents. But, has my dream already come true? In this talk, I will answer this question by delving into my systematic evaluation of AI agents in realistic tasks. The evaluation uncovers many critical limitations of AI agents, such as accurate grounding, long-term planning, and tool use. It suggests that LLMs are crucial yet early steps towards AI autonomy. To address these challenges,\u0026nbsp; I will introduce my research of a more suitable \u201clanguage\u201d for AIs, which overcomes the inherent limitations of using natural language for task solving. Finally, I will discuss my work on teaching AI agents to learn new tools by reading the tool documentation rather than direct demonstrations.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EShuyan Zhou is a final-year Ph.D. student at the Language Technologies Institute at CMU, advised by Graham Neubig. Her research in NLP and AI focuses on creating AI agents for real-world tasks, such as using computers and generating code. Her work has been recognized at top natural language processing and machine learning conferences and journals such as ICLR, ICML, ACL, EMNLP, and TACL. You can find more about her at https:\/\/shuyanzhou.com\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EShuyan Zhou, Ph.D. student at Carnegie Mellon University\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 1, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, First Floor, Room 114 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003ESolving Real-World Tasks with AI Agents\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title:\u00a0Solving Real-World Tasks with AI Agents"}],"uid":"36319","created_gmt":"2024-01-18 19:39:38","changed_gmt":"2024-01-22 15:38:38","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-02-01T11:00:00-05:00","event_time_end":"2024-02-01T12:00:00-05:00","event_time_end_last":"2024-02-01T12:00:00-05:00","gmt_time_start":"2024-02-01 16:00:00","gmt_time_end":"2024-02-01 17:00:00","gmt_time_end_last":"2024-02-01 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":[],"hg_media":{"672828":{"id":"672828","type":"image","title":"shuyan_zhou_headshot hg.jpg","body":null,"created":"1705937699","gmt_created":"2024-01-22 15:34:59","changed":"1705937699","gmt_changed":"2024-01-22 15:34:59","alt":"Shuyan Zhou seminar headshot","file":{"fid":"256147","name":"shuyan_zhou_headshot hg.jpg","image_path":"\/sites\/default\/files\/2024\/01\/22\/shuyan_zhou_headshot%20hg.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/01\/22\/shuyan_zhou_headshot%20hg.jpg","mime":"image\/jpeg","size":96278,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/01\/22\/shuyan_zhou_headshot%20hg.jpg?itok=9GH7jkaY"}}},"media_ids":["672828"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr \/\u003E\r\nmhigh7@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"671741":{"#nid":"671741","#data":{"type":"event","title":"Georgia Tech Workshop on Foundation of Scientific AI for Optimization of Complex Systems","body":[{"value":"\u003Cp\u003EJanuary 16th, 2024, at Georgia Tech, Coda Building 9th floor Atrium.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe workshop is jointly sponsored by Georgia Tech\u0027s\u0026nbsp;\u003Ca href=\u0022https:\/\/research.gatech.edu\/data\u0022 title=\u0022https:\/\/research.gatech.edu\/data\u0022\u003EInstitute for Data Engineering and Science\u003C\/a\u003E\u0026nbsp;and \u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of\u0026nbsp;Computational Science and Engineering\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWebsite:\u0026nbsp;\u003Ca href=\u0022https:\/\/rpestourie.github.io\/scientific-ai-gt2024\/\u0022\u003Ehttps:\/\/rpestourie.github.io\/scientific-ai-gt2024\/\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBrief Description\u003C\/strong\u003E\u0026nbsp;This one-day workshop will be held at Georgia Tech on January 16th, 2024 and convene experts in computational mathematics, statistics, data science, and application domain scientists across science and engineering to address the foundational topics of scientific AI for the prediction and optimization of complex systems. The agenda emphasizes transcending conventional forward simulations and predictions to realize the optimization of complex systems at a large scale by harnessing the power of scientific AI.\u003C\/p\u003E\r\n\r\n\u003Ch2 id=\u0022schedule\u0022\u003ESchedule\u003C\/h2\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBreakfast\u003C\/strong\u003E 8:15 AM - 8:45 AM: \u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~saluru\/\u0022\u003ESrinivas Aluru\u003C\/a\u003E \u0026amp; \u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~hpark\/\u0022\u003EHaesun Park\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EOpening remarks\u003C\/strong\u003E\u0026nbsp;8:45 AM - 9:00 AM: \u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~saluru\/\u0022\u003ESrinivas Aluru\u003C\/a\u003E \u0026amp; \u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~hpark\/\u0022\u003EHaesun Park\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Ch3 id=\u0022session-1\u0022\u003ESession 1\u003C\/h3\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E9:00 AM - 9:35 AM:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.ornl.gov\/staff-profile\/prasanna-balaprakash\u0022\u003EPrasanna Balaprakash, ORNL\u003C\/a\u003E\u0026nbsp;(30 mins + 5 mins Q\u0026amp;A)\u003Cbr \/\u003E\r\n\t\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EScalable, Automated Deep Neural Network Development for Complex Systems\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/em\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E9:35 AM - 9:50 AM:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.raphaelpestourie.com\/\u0022\u003ERapha\u00ebl Pestourie, GT CSE\u003C\/a\u003E\u0026nbsp;(10 mins + 5 mins Q\u0026amp;A)\u003Cbr \/\u003E\r\n\t\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cem\u003EScientific Machine Learning Enables Design via Surrogate Models and End-to-End Training\u003C\/em\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E9:50 AM - 10:05 AM:\u0026nbsp;\u003Ca href=\u0022https:\/\/hmzhou.math.gatech.edu\/\u0022\u003EHaomin Zhou, GT Math\u003C\/a\u003E\u0026nbsp;(10 mins + 5 mins Q\u0026amp;A)\u003Cbr \/\u003E\r\n\t\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EParameterized Wasserstein Geometric Flow\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/em\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EMorning Break\u003C\/strong\u003E\u0026nbsp;10:05 AM - 10:25 AM (20 mins)\u003C\/p\u003E\r\n\r\n\u003Ch3 id=\u0022session-2\u0022\u003ESession 2\u003C\/h3\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E10:25 AM - 11:00 AM:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.sandia.gov\/ccr\/staff\/bart-g-van-bloemen-waanders\/\u0022\u003EBart van Bloemen Waander, Sandia\u003C\/a\u003E\u0026nbsp;(30 mins + 5 mins Q\u0026amp;A)\u003Cbr \/\u003E\r\n\t\u003Cem\u003EHyper-differential Sensitivity Analysis with Respect to Model Discrepancy\u003C\/em\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E11:00 AM - 11:15 AM:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.clemson.edu\/cecas\/departments\/ce\/people\/faculty\/poursaee.html\u0022\u003EAmir Poursaee, Clemson\u003C\/a\u003E\u0026nbsp;(20 mins + 5 mins Q\u0026amp;A)\u003Cbr \/\u003E\r\n\t\u003Cem\u003ECorrosion and AI\u003C\/em\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E11:25 AM - 11:40 PM:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.math.emory.edu\/~lruthot\/\u0022\u003ELars Ruthotto, Emory Math\u003C\/a\u003E\u0026nbsp;(10 mins + 5 mins Q\u0026amp;A)\u003Cbr \/\u003E\r\n\t\u003Cem\u003EGenerative Modeling for Simulation-Based Inference\u003C\/em\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch3 id=\u0022panel-discussion\u0022\u003EPanel Discussion\u003C\/h3\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E11:40 AM - 12:30 PM: Panel Discussion (50 mins)\u003Cbr \/\u003E\r\n\t\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EPanelists: Prasanna Balaprakash, Bart van Bloemen Waander, Amir Poursaee, Lars Ruthotto\u003Cbr \/\u003E\r\n\tModerator: Raphael Pestourie\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELunch Break and Networking\u003C\/strong\u003E\u0026nbsp;12:30 PM - 1:30 PM (60 mins)\u003C\/p\u003E\r\n\r\n\u003Ch3 id=\u0022session-3\u0022\u003ESession 3\u003C\/h3\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E1:30 PM - 2:05 PM:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.pnnl.gov\/people\/panos-stinis\u0022\u003EPanos Stinis, PNNL\u003C\/a\u003E\u0026nbsp;(30 mins + 5 mins Q\u0026amp;A)\u003Cbr \/\u003E\r\n\t\u003Cem\u003EMultifidelity Scientific Machine Learning\u003C\/em\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E2:05 PM - 2:20 PM:\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~bozhu\/\u0022\u003EBo Zhu, GT IC\u003C\/a\u003E\u0026nbsp;(10 mins + 5 mins Q\u0026amp;A)\u003Cbr \/\u003E\r\n\t\u003Cem\u003EComputational Fluid Dynamics on Neural Flow Maps\u003C\/em\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E2:20 PM - 2:35 PM:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.boleideng.com\/\u0022\u003EBolei Deng, GT AE\u003C\/a\u003E\u0026nbsp;(10 mins + 5 mins Q\u0026amp;A)\u003Cbr \/\u003E\r\n\t\u003Cem\u003EInverse Design and Optimization of Mechanical Metamaterials\u003C\/em\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E2:35 PM - 2:50 PM:\u0026nbsp;\u003Ca href=\u0022https:\/\/research.gatech.edu\/yan-wang\u0022\u003EYan Wang, GT MechE\u003C\/a\u003E\u0026nbsp;(10 mins + 5 mins Q\u0026amp;A)\u003Cbr \/\u003E\r\n\t\u003Cem\u003EPhysics-Informed Machine Learning: (Over-)Promising?\u003C\/em\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAfternoon Break\u003C\/strong\u003E\u0026nbsp;2:50 PM -3:10 PM (20 mins)\u003C\/p\u003E\r\n\r\n\u003Ch3 id=\u0022session-4\u0022\u003ESession 4\u003C\/h3\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E3:10 PM - 3:45 PM:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.ornl.gov\/staff-profile\/guannan-zhang\u0022\u003EGuannan Zhang, ORNL\u003C\/a\u003E\u0026nbsp;(30 mins + 5 mins Q\u0026amp;A)\u003Cbr \/\u003E\r\n\t\u003Cem\u003EGenerative Machine Learning Models for Uncertainty Quantification\u003C\/em\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E3:45 PM - 4:10 PM:\u0026nbsp;\u003Ca href=\u0022https:\/\/a1k12.github.io\/\u0022\u003EAditi Krishnapriyan, UC Berkeley\u003C\/a\u003E\u0026nbsp;(20 mins + 5 mins Q\u0026amp;A)\u003Cbr \/\u003E\r\n\t\u003Cem\u003EExploring the Role of Physics-Constrained Machine Learning with Soft and Hard Constraints\u003C\/em\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E4:10 PM - 4:25 PM:\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~pchen402\/\u0022\u003EPeng Chen, GT CSE\u003C\/a\u003E\u0026nbsp;(10 mins + 5 mins Q\u0026amp;A)\u003Cbr \/\u003E\r\n\t\u003Cem\u003EDerivative-Informed Neural Operators for PDE-Constrained Optimization under Uncertainty\u003C\/em\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch3 id=\u0022panel-discussion-and-closing\u0022\u003EPanel Discussion and closing\u0026nbsp;\u003C\/h3\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E4:25 PM - 5:30 PM: Panel Discussion (65 mins)\u003Cbr \/\u003E\r\n\t\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EPanelists: Panos Stinis, Bo Zhu,Guannan Zhang,Aditi Krishnapriyan\u003Cbr \/\u003E\r\n\tModerator: Peng Chen\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch2 id=\u0022workshop-details\u0022\u003EWorkshop Details\u003C\/h2\u003E\r\n\r\n\u003Cp\u003EComplex systems are prevalent in a wide range of scientific and engineering disciplines. These systems incorporate numerous variables, some of which are controllable, some are subject to design specifications, and others may be latent or determined by either identified or unidentified processes. Accurate prediction of the system response is intrinsically difficult, yet often secondary to more pressing engineering concerns regarding optimal design or control of the system. For instance, in the realm of electromagnetic (EM) devices, advancements in fabrication technologies have afforded extensive design and control freedoms, such as metamaterials and 4D materials. These developments have rendered simulation and optimization as the limiting factors for inverse design or control applications. In the context of corrosion science, the corrosion initiation of metals is governed by dynamic and complex processes that take place at multi-scale levels. As such, investigation of its kinetic dissolution with just macroscopic, or bulk, electrochemical techniques or sometimes with high resolution microscopy poses considerable challenges. Scientific AI offers a viable avenue for the rapid and reliable prediction and discovery during the initiation and propagation of metallic corrosion. The intersection of scientific AI and complex systems engenders a host of unresolved questions, including efficient simulation strategies, model parameterization, the integration of domain-specific knowledge or system architecture, and the role of AI in scientific computing for predictive and optimization purposes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe methodologies of Scientific AI utilize the robust nonlinear fitting capabilities of deep learning to enhance the predictive efficiency and accuracy of conventional scientific computing and statistical methods for the simulation of complex systems. This workshop aims to explore how scientific AI employs domain-specific knowledge and scientific computational techniques to improve the accuracy and efficiency of the optimization of complex systems. It is essential to note that a scientific AI model proficient in making accurate predictions is not invariably well-suited for optimization tasks. Therefore, this workshop will concentrate on approaches that facilitate effective optimization performance of scientific AI, whether through gradient-based optimization techniques or alternative strategies, contributing to groundbreaking scientific and engineering discoveries through optimization.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOrganizers: Rapha\u00ebl Pestourie, Peng Chen, Ebeneser Fanijo, Yan Wang\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDue to venue size, this workshop is invitation only.\u0026nbsp;Please contact one of the organizers if you are interested and not a current invitee.\u003C\/strong\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis one-day workshop will be held at Georgia Tech on January 16th, 2024, and convene experts in computational mathematics, statistics, data science, and application domain scientists across science and engineering to address the foundational topics of scientific AI for the prediction and optimization of complex systems (such as electromagnetic, corrosion science). 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students, Ph.D. students, and faculty will engage in people-centric innovation during the research showcase and networking event.\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\u003EThe event will be held Tuesday, Feb. 6, at the Technology Square Research Building.\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\u003EKaren Holtzblatt will serve as keynote speaker with her talk,\u0026nbsp;\u003Cem\u003E\u003Cspan\u003EWhat is the Actual UX Job?\u0026nbsp;Strategy, Process Leadership, 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Leadership, Listening and Communicating, and Organizational Management\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n2:00\u0026nbsp;-\u0026nbsp;3:00 PM\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;One-Minute Madness \u2013 MS-HCI students present their research\u0026nbsp;and interests to industry representatives\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n3:00\u0026nbsp;-\u0026nbsp;5:00 PM\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;Research posters and demonstrations\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n4:30\u0026nbsp;-\u0026nbsp;6:00 PM\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;Reception + Networking \u2013 Industry guests, students, faculty,\u0026nbsp; and researchers\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\u003ERegistration:\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\u0026nbsp;\u003Ca href=\u0022https:\/\/www.eventbrite.com\/e\/interactivitygt-tickets-754656988367?aff=oddtdtcreator\u0022 title=\u0022https:\/\/www.eventbrite.com\/e\/interactivitygt-tickets-754656988367?aff=oddtdtcreator\u0022\u003Ehttps:\/\/www.eventbrite.com\/e\/interactivitygt-tickets-754656988367?aff=oddtdtcreator\u003C\/a\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\u003Cspan\u003EInteractivity@GT is a half-day workshop that allows MS-HCI students to connect with industry representatives and find HCI\/UX jobs or internships.\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","format":"limited_html"}],"field_summary_sentence":[{"value":"A chance for MS-HCI students and Ph.D. students to network with industry representatives and find HCI\/UX jobs!"}],"uid":"36530","created_gmt":"2024-01-09 20:40:37","changed_gmt":"2024-01-16 16:27:45","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-02-06T12:30:00-05:00","event_time_end":"2024-02-06T18:00:00-05:00","event_time_end_last":"2024-02-06T18:00:00-05:00","gmt_time_start":"2024-02-06 17:30:00","gmt_time_end":"2024-02-06 23:00:00","gmt_time_end_last":"2024-02-06 23:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Technology Square Research Building. 85 5th Street NW, Atlanta, GA 30332","extras":[],"related_links":[{"url":"https:\/\/www.eventbrite.com\/e\/interactivitygt-tickets-754656988367?aff=oddtdtcreator","title":"Register Here"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1789","name":"Conference\/Symposium"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ECarrie Bruce\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssistant Director and Research Manager, Master\u2019s Program in Human-Computer Interaction (MS-HCI)\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ecarrie.bruce@gatech.edu\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENathan Deen\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Interactive Computing\u003C\/p\u003E\r\n\r\n\u003Cp\u003Endeen6@gatech.edu\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWalter Rich\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearch Communications, Institute for People and Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ewalter.rich@research.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"671820":{"#nid":"671820","#data":{"type":"event","title":"School of CSE Seminar Series: Wei Jin","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Emory University Assistant Professor Wei Jin\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;January 19, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;B. Aditya Prakash\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EDeep Learning on Graphs: A Data-Centric Exploration\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EMany learning tasks in Artificial Intelligence require dealing with graph data, ranging from biology and chemistry to finance and education. Graph neural networks (GNNs), as deep learning models, have shown exceptional capabilities in learning from graph data. Despite their successes, GNNs often grapple with challenges stemming from data size and quality. This talk emphasizes a data-centric approach to enhance GNN performance. First, I will demonstrate methods to significantly reduce graph dataset sizes while retaining essential information for model training. Next, I will introduce a model-agnostic framework that enhances the quality of imperfect input graphs, thereby boosting prediction performance.\u0026nbsp;These data-centric strategies not only enhance data efficiency and quality but also complement existing models. Finally, I will introduce recent advances in graph data valuation and graph generation. Join us to explore innovative approaches for overcoming data-related challenges in graph data mining.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E \u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EWei Jin is an Assistant Professor of Computer Science at Emory University. He obtained his Ph.D. from Michigan State University in 2023. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EHis research focuses on graph machine learning and data-centric AI, with notable accomplishments such as\u003Cspan\u003E AAAI New Faculty Highlights, KAUST Rising Star in AI, Snap Research Fellowship, Most Influential Papers in KDD and WWW by Paper Digest, and top finishes in three NeurIPS competitions. \u003C\/span\u003EHe has organized tutorials and workshops at top conferences, and published in top-tier venues such as ICLR, KDD, ICML, and NeurIPS. He has served as (senior) program committee members at these conferences and received the WSDM Outstanding Program Committee Member award.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Emory University Assistant Professor Wei Jin\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;January 19, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;B. 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In computing practice and research, good intentions sometimes still lead to negative consequences. So what can we do as technologists, researchers, and educators? This talk describes three lessons from my research that inform ethical practices in studying, building, and teaching about technology: (1) remembering the humans present in data, towards ethical research practices; (2) unpacking ethical debt (as a parallel to technical debt) in technology design and research as the precursor to the types of unintended consequences that underly many controversies; and (3) a broader perspective on computing education that puts thoughtful critique of technology in everyone\u2019s hands.\u202f\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\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EBio\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\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\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ECasey Fiesler is an Associate Professor of Information Science (and Computer Science by courtesy) at University of Colorado Boulder. She researches and teaches in the areas of technology ethics, internet law and policy, and online communities. Her work on research ethics for data science, ethics education in computing, and broadening participation in computing has been supported by the National Science Foundation, and she is the recipient of an NSF CAREER Award. Also a public scholar, she is a frequent commentator and speaker on topics of technology ethics and policy, and her research has been covered everywhere from The New York Times to Teen Vogue (though she\u2019s particularly proud of her TikToks). She is a three-time alum of Georgia Tech, and in addition to her PhD in Human-Centered Computing, she also holds a JD from Vanderbilt Law School.\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\u003ELunch: 12:00 p.m.; Talk: 12:30 p.m.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Casey Fiesler will speak at the first Interactive Computing Distinguished Lecture on Jan. 11"}],"uid":"36530","created_gmt":"2024-01-10 13:07:37","changed_gmt":"2024-01-10 13:42:14","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-01-11T12:30:00-05:00","event_time_end":"2024-01-11T13:30:00-05:00","event_time_end_last":"2024-01-11T13:30:00-05:00","gmt_time_start":"2024-01-11 17:30:00","gmt_time_end":"2024-01-11 18:30:00","gmt_time_end_last":"2024-01-11 18:30:00","rrule":null,"timezone":"America\/New_York"},"location":"The Academy of Medicine, 875 W Peachtree St NW, Atlanta, GA 30309","extras":[],"hg_media":{"672705":{"id":"672705","type":"image","title":"caseyfiesler.jpg","body":null,"created":"1704894101","gmt_created":"2024-01-10 13:41:41","changed":"1704894101","gmt_changed":"2024-01-10 13:41:41","alt":"Casey Fiesler","file":{"fid":"255999","name":"caseyfiesler.jpg","image_path":"\/sites\/default\/files\/2024\/01\/10\/caseyfiesler_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/01\/10\/caseyfiesler_0.jpg","mime":"image\/jpeg","size":31772,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/01\/10\/caseyfiesler_0.jpg?itok=hkt6JsWx"}}},"media_ids":["672705"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"671999":{"#nid":"671999","#data":{"type":"event","title":"Interactive Computing Spring Seminar: Q. Vera Liao","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003ETalk Title \u2014 Bridging the Socio-Technical Gap: Towards Explainable and Responsible AI\u003C\/span\u003E\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\u003E\u003Cstrong\u003E\u003Cspan\u003EAbstract\u003C\/span\u003E\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\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThere is an inevitable gap between computational systems, which follow principles\u0026nbsp;of\u0026nbsp;precision, formalization, and abstraction, and human needs in the social world, which are contextual, fluid, and nuanced. Making AI technologies more responsible and human-centered requires understanding and bridging this socio-technical gap. Focusing on my research on\u0026nbsp;explainable AI\u0026nbsp;(XAI), and more recently large language models (LLMs), I will discuss four approaches my collaborators and I take to bridge the socio-technical gap for emerging and consequential AI technologies: conducting critical investigations into dominant AI algorithmic paradigms; researching and supporting AI practitioners who address the socio-technical gap on the ground; developing socially-guided computation and design frameworks; and shaping technical development by embedding socio-technical perspectives in the evaluation practices. I will conclude the\u0026nbsp;talk\u0026nbsp;with future directions toward my long-term research agenda\u0026nbsp;of\u0026nbsp;informing and developing AI technologies that are beneficial and adaptable for different stakeholder groups and usage contexts.\u0026nbsp;\u003C\/span\u003E\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\/p\u003E\r\n\r\n\u003Cp\u003EQ. Vera Liao is a Principal Researcher at\u0026nbsp;Microsoft Research Montr\u00e9al, where she is part\u0026nbsp;of\u0026nbsp;the FATE (Fairness, Accountability, Transparency, and Ethics in AI) group. Her current research interests are in human-AI interaction, explainable AI, and responsible AI, with an overarching goal\u0026nbsp;of\u0026nbsp;bridging emerging AI technologies and human-centered\u0026nbsp;perspectives. Prior to joining MSR, she worked at\u0026nbsp;IBM Research, and studied at the\u0026nbsp;University\u0026nbsp;of\u0026nbsp;Illinois at Urbana-Champaign\u0026nbsp;and Tsinghua\u0026nbsp;University. She has authored more than 60 peer-reviewed research articles and received many paper awards at HCI and AI venues. She currently serves as the co-editor-in-chief for the Springer HCI Book Series, in the Editors team for ACM CSCW conference, and on the Editorial\u0026nbsp;Board\u0026nbsp;of\u0026nbsp;ACM TiiS. She has also served as an Area Chair and Senior PC member for CHI, FAccT, and IUI conferences.\u0026nbsp;\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EQ. Vera Liao is a Principal Researcher at\u0026nbsp;Microsoft Research Montr\u00e9al, where she is part\u0026nbsp;of\u0026nbsp;the FATE (Fairness, Accountability, Transparency, and Ethics in AI) group.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Interactive Computing Spring Seminar with Guest Speaker Q. Vera Liao"}],"uid":"36530","created_gmt":"2024-01-10 13:39:31","changed_gmt":"2024-01-10 13:40:21","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-01-11T11:00:00-05:00","event_time_end":"2024-01-11T12:00:00-05:00","event_time_end_last":"2024-01-11T12:00:00-05:00","gmt_time_start":"2024-01-11 16:00:00","gmt_time_end":"2024-01-11 17:00:00","gmt_time_end_last":"2024-01-11 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"IC Cafe (Formerly GVU Cafe), Technology Square Research Building, 85 5th St NW, Atlanta, GA 30332","extras":[],"hg_media":{"672704":{"id":"672704","type":"image","title":"Vera Liao.jpg","body":null,"created":"1704893977","gmt_created":"2024-01-10 13:39:37","changed":"1704893977","gmt_changed":"2024-01-10 13:39:37","alt":"Vera Liao","file":{"fid":"255998","name":"Vera Liao.jpg","image_path":"\/sites\/default\/files\/2024\/01\/10\/Vera%20Liao_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/01\/10\/Vera%20Liao_0.jpg","mime":"image\/jpeg","size":258636,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/01\/10\/Vera%20Liao_0.jpg?itok=251HHaSD"}}},"media_ids":["672704"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"671819":{"#nid":"671819","#data":{"type":"event","title":"School of CSE Seminar Series: Pascal Van Hentenryck","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Pascal Van Hentenryck, A. Russell Chandler III Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;January 12, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Anqi Wu\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ET\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/em\u003E\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003Erustworthy Optimization Learning\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThe fusion of deep learning and optimization has the potential to deliver outcomes for engineering applications that the two technologies cannot achieve independently. This talk illustrates this potential with the concept of optimization proxy, a differentiable program that can produce, in milliseconds, feasible and near-optimal solutions to classes of optimization problems. The talk reviews some of the foundations underlying optimization proxies, including end-to-end learning, compact optimization learning, dual learning, and self-supervised learning. The benefits of optimization proxies are demonstrated on applications in power systems and supply chains.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EPascal Van Hentenryck is the director of the NSF AI Institute for Advances in Optimization (AI4OPT) and the A. Russell Chandler III Chair and Professor at Georgia Tech. He was a professor at Computer Science at Brown University for over 20 years and led the optimization research group at the National ICT Research, Australia. Van Hentenryck designed and implemented several innovative optimization systems that have been in commercial use for over 20 years, including the pioneering CHIP and OPL systems. His current research focuses on AI Engineering, for applications in energy systems, supply chains, manufacturing, and mobility.\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\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Pascal Van Hentenryck, A. Russell Chandler III Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;January 12, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Anqi Wu\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ET\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/em\u003E\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003Erustworthy Optimization Learning\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/em\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Pascal Van Hentenryck, A. Russell Chandler III Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech"}],"uid":"36319","created_gmt":"2024-01-03 16:15:34","changed_gmt":"2024-01-08 13:37:57","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-01-12T14:00:00-05:00","event_time_end":"2024-01-12T15:00:00-05:00","event_time_end_last":"2024-01-12T15:00:00-05:00","gmt_time_start":"2024-01-12 19:00:00","gmt_time_end":"2024-01-12 20:00:00","gmt_time_end_last":"2024-01-12 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":["free_food"],"hg_media":{"672653":{"id":"672653","type":"image","title":"Van Hentenryck.jpeg","body":null,"created":"1704298584","gmt_created":"2024-01-03 16:16:24","changed":"1704298584","gmt_changed":"2024-01-03 16:16:24","alt":"Pascal Van Hentenryck","file":{"fid":"255930","name":"Van Hentenryck.jpeg","image_path":"\/sites\/default\/files\/2024\/01\/03\/Van%20Hentenryck.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/01\/03\/Van%20Hentenryck.jpeg","mime":"image\/jpeg","size":15928,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/01\/03\/Van%20Hentenryck.jpeg?itok=dzrBJIpq"}}},"media_ids":["672653"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAnqi Wu (anqiwu@gatech.edu)\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"670008":{"#nid":"670008","#data":{"type":"event","title":"School of CSE Seminar Series: Ryan F. Johnson","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Research Engineer Ryan F. Johnson, U.S. Naval Research Laboratory\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;November 17, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;School of CSE Assistant Professor Spencer Bryngelson\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ETowards Simulations of Complex Physics in High-speed Propulsion Devices Using High-Order Methods\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EHigh-speed combustion devices involve intricate and interrelated physical phenomena that present significant challenges for system design analyses. These systems center around compressible turbulent airflows, often at supersonic velocities, interacting with fuel at time scales comparable to the chemical reactions driving combustion. In practical systems, various factors, including heat transfer to the combustor walls and the fuel source\u0027s thermochemistry, can markedly influence this process, leading to operational envelopes highly sensitive to system design. These complexities are challenging to replicate and study experimentally, underscoring the importance of numerical simulations in comprehending high-speed combustion environments. However, employing these tools for design purposes remains problematic. First-principles simulations can be cost-prohibitive, while designing and calibrating reduced-order models can be intricate. Moreover, the required level of fidelity to model such intricate flows can vary from case to case, often not known until the investigation begins. Consequently, there is an ongoing imperative to gain a profound understanding of the fundamental physics in these complex combustion settings.\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\u003EThis presentation\u0026nbsp;will spotlight the continuous efforts of the Naval Research Laboratory to advance numerical simulation methods for a more comprehensive grasp of the intricate physics within high-speed combustion devices. Particular emphasis will be placed on the utilization of the discontinuous Galerkin methodology in conjunction with realistic physical models for combustion processes. The discussion will also offer a brief historical perspective to provide context regarding the current state of the art, identify existing scientific challenges, and outline future research opportunities.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Dr.\u0026nbsp;\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ERyan Johnson\u0027s joined NRL in 2015 as Karles\u0027 Fellow, dedicating himself to advancing the JENRE\u00ae Multiphysics Framework by embedding intricate combustion models. His responsibilities included overseeing the integration of gas-phase reactions with finite rate kinetics for modeling efforts involving solid, liquid, and gaseous fuels. Dr. Johnson\u0027s current focus centers on the practical application and validation of the JENRE\u00ae Multiphysics Framework in Navy-relevant combustors, including diverse applications such as solid fueled ramjets, scramjets, and rotating detonation engines. Before his tenure at NRL, Dr. Johnson earned his PhD at the University of Virginia under the guidance of Professor Harsha Chelliah. His doctoral research explored the coupling of computational fluid dynamics (CFD) with theoretical chemically reacting flow, covering a broad spectrum from carbon surface reactions to hypersonics. His academic journey was supported by several fellowships, including the National Defense Science and Engineering Graduate (NDSEG) Fellowship, the Farrah Fellowship, and the Paul Voight Teaching Fellowship.\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\u003EDr. Johnson is interested and devoted to introducing high-fidelity models and innovative numerical techniques as alternatives to conventional methods for simulating chemically reacting flows. His dedication to advancing the field has been acknowledged with two prestigious NRL ARPAD research publication awards.\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\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Research Engineer Ryan F. Johnson, U.S. Naval Research Laboratory\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;November 17, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;School of CSE Assistant Professor Spencer Bryngelson\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ETowards Simulations of Complex Physics in High-speed Propulsion Devices Using High-Order Methods\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/em\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Ryan F. Johnson, research engineer at U.S. Naval Research Laboratory"}],"uid":"36319","created_gmt":"2023-09-28 17:51:58","changed_gmt":"2023-11-13 16:45:58","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-11-17T14:00:00-05:00","event_time_end":"2023-11-17T15:00:00-05:00","event_time_end_last":"2023-11-17T15:00:00-05:00","gmt_time_start":"2023-11-17 19:00:00","gmt_time_end":"2023-11-17 20:00:00","gmt_time_end_last":"2023-11-17 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":["free_food"],"hg_media":{"671885":{"id":"671885","type":"image","title":"Ryan Johnson.jpeg","body":null,"created":"1695923524","gmt_created":"2023-09-28 17:52:04","changed":"1695923524","gmt_changed":"2023-09-28 17:52:04","alt":"Ryan Johnson","file":{"fid":"255031","name":"Ryan Johnson.jpeg","image_path":"\/sites\/default\/files\/2023\/09\/28\/Ryan%20Johnson.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/09\/28\/Ryan%20Johnson.jpeg","mime":"image\/jpeg","size":33134,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/09\/28\/Ryan%20Johnson.jpeg?itok=OEAzq7d2"}}},"media_ids":["671885"],"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"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Spencer Bryngelson (shb@gatech.edu)\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"670031":{"#nid":"670031","#data":{"type":"event","title":"School of CSE Seminar Series: Eva Dyer","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Associate Professor Eva Dyer, Wallace H. Coulter Department of Biomedical Engineering\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;November 14, 12:00-1:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 230\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;School of CSE Assistant Professor Spencer Bryngelson\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003EToward Multi-Modal, Multi-Source Foundation Models to Advance Large-Scale Neural Data Analysis\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;Despite the rapid growth of datasets in neuroscience, models of brain function often struggle to harness this expansive scale due to variability across experiments and shifts in our measurements of the brain\u0027s state. In this talk, I will outline our efforts to consolidate diverse datasets from various brain regions and experimental conditions into a cohesive \u0022neurofoundation\u0022 model. By leveraging extensive pretraining on this neural data, we aim to enable robust generalization across different modalities and species. Further, I will delve into how this foundational model promises to improve data efficiency, expand the capabilities of brain-machine interfaces and neural decoders, and provide advanced, user-friendly tools to the wider neuroscience community, setting the trajectory for a more integrated approach to neural data analysis.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Eva Dyer (she\/they) is an Associate Professor in the Coulter Department of Biomedical Engineering at the Georgia Institute of Technology. Dr. Dyer\u2019s research combines artificial intelligence (AI) and neuroscience to understand brain function (AI for Neuro) and to build abstractions of biological organization and function that can be used to create more flexible AI systems (Neuro for AI). Eva completed all of her degrees in Electrical \u0026amp; Computer Engineering, obtaining her Ph.D. and M.S. from Rice University and a B.S. from the University of Miami. Eva is the recipient of a number of awards, including a Sloan Fellowship in Neuroscience, NSF CAREER Award, Next Generation Leader Award from the Allen Institute, a McKnight Foundation Technological Innovations in Neuroscience Award, and a CIFAR Azrieli Global Scholar Award.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Associate Professor Eva Dyer, Wallace H. Coulter Department of Biomedical Engineering\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;November 14, 12:00-1:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 230\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;School of CSE Assistant Professor Spencer Bryngelson\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003EToward Multi-Modal, Multi-Source Foundation Models to Advance Large-Scale Neural Data Analysis\u003C\/em\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Eva Dyer, associate professor at Coulter BME"}],"uid":"36319","created_gmt":"2023-09-29 13:54:24","changed_gmt":"2023-11-13 16:45:06","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-11-14T12:00:00-05:00","event_time_end":"2023-11-14T13:00:00-05:00","event_time_end_last":"2023-11-14T13:00:00-05:00","gmt_time_start":"2023-11-14 17:00:00","gmt_time_end":"2023-11-14 18:00:00","gmt_time_end_last":"2023-11-14 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":["free_food"],"hg_media":{"598576":{"id":"598576","type":"image","title":"Eva Dyer","body":null,"created":"1510232966","gmt_created":"2017-11-09 13:09:26","changed":"1510232966","gmt_changed":"2017-11-09 13:09:26","alt":"","file":{"fid":"228194","name":"Eva Dyer.jpg","image_path":"\/sites\/default\/files\/images\/Eva%20Dyer.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Eva%20Dyer.jpg","mime":"image\/jpeg","size":3920389,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Eva%20Dyer.jpg?itok=lE-aV2wr"}}},"media_ids":["598576"],"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"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Spencer Bryngelson (shb@gatech.edu)\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"670871":{"#nid":"670871","#data":{"type":"event","title":"OMSCS Alumni Speaker Series","body":[{"value":"\u003Cp\u003ETitle of Presentation:\u0026nbsp;Building the Future Through Entrepreneurship: A Roadmap for those thinking of or currently founding a company\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPresenter\u2019s Name: Heidi Hysell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERoom: Virtual (Link will be sent the day before the event)\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETime:\u0026nbsp;12 p.m. \u2013 1 p.m. ET\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDate:\u0026nbsp;November 16\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAbstract:\u0026nbsp;Let\u0027s cut to the chase\u2014entrepreneurship and innovation are more than just buzzwords; they are mechanisms for positive change. In this talk, I\u0027ll share a roadmap for those thinking of founding or are in the middle of running a startup. We\u0027ll go through the critical phases and touch on topics such as idea validation, funding, scaling, and long-term impact. We\u0027ll go beyond theory and hear stories from practice. We\u0027ll talk about how we can build better futures; laying the groundwork today for a more innovative, responsible, and inclusive tomorrow.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBio:\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHeidi Hysell is the founder of Future Founders and works with founders and CxOs to build better businesses and better futures. Her insights, frameworks, and support enable organizations to envision the future and evolve businesses.\u0026nbsp;With a track record that includes advising portfolio companies for Samsung Next, launching Alpha Drive, a pioneering startup in benchmarking embodied AI, and consulting with Fortune 500 firms with\u0026nbsp;Board of Innovation, she\u0027s seen firsthand what it takes to succeed in this game and have an impact.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERSVP Form:\u0026nbsp;\u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_bIbcAoIyZ85w4vQ\u0022 title=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_bIbcAoIyZ85w4vQ\u0022\u003Ehttps:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_bIbcAoIyZ85w4vQ\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EOMSCS alumna Heidi Hysell is the founder of Future Founders and the inaugural guest for the OMSCS 10th Anniversary Speaker Series, which begins Nov. 16. The title of her presentation is,\u0026nbsp;\u003Cem\u003EBuilding the Future Through Entrepreneurship: A Roadmap for Founding a Company.\u003C\/em\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech\u0027s OMSCS is celebrating its 10th anniversary (2024) with an Alumni Speaker Series beginning Nov. 16 with OMSCS alumna Heidi Hysell, who is the founder of Future Founders."}],"uid":"32045","created_gmt":"2023-11-03 15:05:35","changed_gmt":"2023-11-07 14:46:35","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-11-16T12:00:00-05:00","event_time_end":"2023-11-16T13:00:00-05:00","event_time_end_last":"2023-11-16T13:00:00-05:00","gmt_time_start":"2023-11-16 17:00:00","gmt_time_end":"2023-11-16 18:00:00","gmt_time_end_last":"2023-11-16 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Virtual  (Link will be sent the day before the event)","extras":[],"hg_media":{"672256":{"id":"672256","type":"image","title":"Headshot photo of OMSCS alumna Heidi Hysell","body":null,"created":"1699023946","gmt_created":"2023-11-03 15:05:46","changed":"1699023946","gmt_changed":"2023-11-03 15:05:46","alt":"Headshot photo of OMSCS alumna Heidi Hysell","file":{"fid":"255467","name":"profile photo white[80].jpeg","image_path":"\/sites\/default\/files\/2023\/11\/03\/profile%20photo%20white%5B80%5D.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/11\/03\/profile%20photo%20white%5B80%5D.jpeg","mime":"image\/jpeg","size":34644,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/11\/03\/profile%20photo%20white%5B80%5D.jpeg?itok=cYRTebDk"}}},"media_ids":["672256"],"related_links":[{"url":"https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_bIbcAoIyZ85w4vQ","title":"RSVP Form"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"431631","name":"OMS"}],"categories":[],"keywords":[{"id":"180354","name":"omscs anniversary"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"},{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAna M Rusch,\u0026nbsp;PhD.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E(She\/Her\/Hers)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssociate Director of Diversity, Inclusion, Equity and Student Life, OMSCS\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech College of Computing\u003C\/p\u003E\r\n\r\n\u003Cp\u003Earusch3@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"670010":{"#nid":"670010","#data":{"type":"event","title":"School of CSE Seminar Series: Rishi Kamaleswaran","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Associate Professor Rishi Kamaleswaran, Emory University\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;December 1, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;School of CSE Regents\u0027 Professor Srinivas Aluru\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003EA Systems Based Data Science Approach to Studying Acute and Critical Illness\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003EThis talk will cover the challenges and opportunities in utilizing multi-modal data, often consisting of irregular time series, observational and experimental data, to develop predictive models of complex and dynamic clinical course among critically ill patients in the intensive care unit (ICU). The ICU is a data intensive environment, which contains a large number of devices and interfaces that continuously capture data streams. However much of this data is curated based on the clinical suspicion of the care provider, thus patients presenting with the same condition may have multiple permutations of data collection. In this talk, I highlight the challenges and opportunities in modeling complex problems related to critical illness and the approaches we utilize to better understand how data can inform clinical decision making at the bedside.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003ERishi\u0026nbsp;Kamaleswaran\u0026nbsp;is an\u0026nbsp;Associate\u0026nbsp;Professor at Emory University, Department of Biomedical Informatics, with secondary appointments in Pediatrics and Emergency Medicine. He earned his Ph.D. in Computer Science from the University of Ontario Institute of Technology in Canada.\u0026nbsp;He is the Director of Translational Informatics within the School of Medicine and the Georgia CTSA. He is the Co-Director of the\u0026nbsp;NIH P30 Georgia Cystic Fibrosis Research and Translation Core Center where he oversees a number of clinical informatics research. He also oversees the Emory Real-Time Data Science and Decision Support (RADS2) center that advances AI\/ML applications at the bedside. His research is\u0026nbsp;funded by a number of federal and regional agencies including the National Institutes of Health, Veteran\u0027s Affairs, Department of Defense, Michael J. Fox Foundation, and the CF foundation.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Associate Professor Rishi Kamaleswaran, Emory University\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;December 1, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;School of CSE Regents\u0027 Professor Srinivas Aluru\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003EA Systems Based Data Science Approach to Studying Acute and Critical Illness\u003C\/em\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Rishi Kamaleswaran, associate professor at Emory University"}],"uid":"36319","created_gmt":"2023-09-28 17:58:11","changed_gmt":"2023-11-03 01:33:30","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-12-01T14:00:00-05:00","event_time_end":"2023-12-01T15:00:00-05:00","event_time_end_last":"2023-12-01T15:00:00-05:00","gmt_time_start":"2023-12-01 19:00:00","gmt_time_end":"2023-12-01 20:00:00","gmt_time_end_last":"2023-12-01 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":["free_food"],"hg_media":{"672254":{"id":"672254","type":"image","title":"Rishi Kamaleswaran.jpeg","body":null,"created":"1698975179","gmt_created":"2023-11-03 01:32:59","changed":"1698975179","gmt_changed":"2023-11-03 01:32:59","alt":"Rishi Kamaleswaran","file":{"fid":"255465","name":"Rishi Kamaleswaran.jpeg","image_path":"\/sites\/default\/files\/2023\/11\/02\/Rishi%20Kamaleswaran.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/11\/02\/Rishi%20Kamaleswaran.jpeg","mime":"image\/jpeg","size":126612,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/11\/02\/Rishi%20Kamaleswaran.jpeg?itok=jDBd_DJR"}}},"media_ids":["672254"],"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"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Srinivas Aluru (aluru@cc.gatech.edu)\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"670000":{"#nid":"670000","#data":{"type":"event","title":"School of CSE Seminar Series: Mikio Aoi","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Assistant Professor Mikio Aoi, University of California, San Diego\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;November 3, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;School of CSE Assistant Professor Anqi Wu\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EExamining Shared Structure Across Multivariate Datasets\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EA number of recent studies have sought to understand the behavior of artificial and biological neural networks by comparing the structure of representations across layers, networks and brain areas. Increasingly prevalent, too, are comparisons across modalities of data, such as neural network activations and training data or behavioral data and neurophysiological recordings. Many of these studies use dimensionality as a proxy for computational complexity, measured by approaches such as canonical correlation analysis (CCA), but a standard, model-free measure is lacking. We present a candidate measure for shared dimensionality that we call the effective number of shared dimensions (ENSD).\u0026nbsp; We illustrate how the ENSD and its constituent statistics can be applied in a variety of analyses, including on across-layer similarities of neural network activations and communication subspaces between brain regions. By comparing it to existing metrics we find that the ENSD can be re-written as a scaled version of centered kernel alignment (CKA) that additionally describes the dimensionality of the aligned subspace and, unlike CCA, is robust to cases where data is sparse or low rank. We also include a novel analysis on the organization of the fly olfactory system, where the ENSD provides insight into the interaction between innate and learned olfactory representations. Altogether, we present an interpretable and computationally efficient model-free measure of shared dimensionality that can be used to probe shared structure in a wide variety of data types.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EDr. Aoi is an Assistant Professor of Data Science and Neurobiology at the University of California, San Diego. His work is aimed at the development of statistical and machine learning techniques for the analysis of neural population activity with the aim of determining the computational principles of biological neural networks.\u0026nbsp;\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\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Assistant Professor Mikio Aoi, University of California, San Diego\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;November 3, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 230\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;School of CSE Assistant Professor Anqi Wu\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EExamining Shared Structure Across Multivariate Datasets\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/em\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Mikio Aoi, assistant professor at UCSD"}],"uid":"36319","created_gmt":"2023-09-28 14:29:08","changed_gmt":"2023-11-02 14:22:12","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-11-03T14:00:00-04:00","event_time_end":"2023-11-03T15:00:00-04:00","event_time_end_last":"2023-11-03T15:00:00-04:00","gmt_time_start":"2023-11-03 18:00:00","gmt_time_end":"2023-11-03 19:00:00","gmt_time_end_last":"2023-11-03 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda 230","extras":["free_food"],"hg_media":{"671898":{"id":"671898","type":"image","title":"Mikio Aoi2.jpeg","body":null,"created":"1695995253","gmt_created":"2023-09-29 13:47:33","changed":"1695995253","gmt_changed":"2023-09-29 13:47:33","alt":"Mikio Aoi 2","file":{"fid":"255047","name":"Mikio Aoi2.jpeg","image_path":"\/sites\/default\/files\/2023\/09\/29\/Mikio%20Aoi2.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/09\/29\/Mikio%20Aoi2.jpeg","mime":"image\/jpeg","size":36595,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/09\/29\/Mikio%20Aoi2.jpeg?itok=mkzsyodI"}}},"media_ids":["671898"],"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"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Anqi Wu (anqiwu@gatech.edu)\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"670711":{"#nid":"670711","#data":{"type":"event","title":"HotCSE Seminar: Ziyi (Francis) Yin","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;CSE Ph.D. student Ziyi (Francis) Yin\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;November 1, 12:30-1:30 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda C1315\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETopic:\u0026nbsp;\u003C\/strong\u003EInverse problems in seismic imaging\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\u003ELunch\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u0026nbsp;\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003Ewill be provided at the event. Please fill out the\u0026nbsp;RSVP form\u0026nbsp;in the link below to let us know your lunch preferences.\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\u003ERSVP Link:\u0026nbsp;\u003Ca href=\u0022https:\/\/forms.office.com\/r\/aSamAxTShz\u0022 title=\u0022https:\/\/forms.office.com\/r\/aSamAxTShz\u0022\u003Ehttps:\/\/forms.office.com\/r\/aSamAxTShz\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\/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\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;CSE Ph.D. student Ziyi (Francis) Yin\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;November 1, 12:30-1:30 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda C1315\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETopic:\u0026nbsp;\u003C\/strong\u003EInverse problems in seismic imaging\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"CSE Graduate Student Association hosts Ph.D. student Ziyi (Francis) Yin at its HotCSE Seminar Series "}],"uid":"36319","created_gmt":"2023-10-26 20:34:55","changed_gmt":"2023-10-26 20:37:53","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-11-01T12:30:00-04:00","event_time_end":"2023-11-01T13:30:00-04:00","event_time_end_last":"2023-11-01T13:30:00-04:00","gmt_time_start":"2023-11-01 16:30:00","gmt_time_end":"2023-11-01 17:30:00","gmt_time_end_last":"2023-11-01 17:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, C1315","extras":["free_food"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[{"id":"76231","name":"Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ECSE Graduate Student Association: cse-gsa@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"670007":{"#nid":"670007","#data":{"type":"event","title":"School of CSE Seminar Series: Maryam Mehri Dehnavi","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Associate Professor Maryam Mehri Dehnavi, University of Toronto\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;November 10, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 114\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;School of CSE Professor Rich Vuduc\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003EThe Power of Less: Harnessing Sparsity for Performance Optimization\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ESparse matrix computations are fundamental to scientific computing and data analytics applications, such as computer graphics and machine learning. Sparsity leads to irregular memory accesses that pose challenges for code optimization. While \u0026nbsp;specialized libraries can accelerate sparse computations, costly manual tuning is required for each application and architecture, reducing programmer productivity. Additionally, in machine learning, the unstructured sparsity patterns of deep learning models have rendered many of these libraries useless, prompting practitioners to use dense routine calls. Automation approaches such as compilers and runtime systems provide portability and ease of programming, but efficiently optimizing sparse codes remains a challenge due to access pattern irregularities.\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\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EIn this talk, I will introduce our work on building compilers and automation frameworks to accelerate sparse numerical kernels. I will present a class of inspection strategies that automatically analyze information such as matrix sparsity patterns and the numerical methods\u0027 properties, to generate optimized sparse codes. Additionally, I will discuss algorithmic modifications that make machine learning and graphics applications more amenable to sparse code specialization and the use of sparse compilers.\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\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003EMaryam Mehri Dehnavi is an Associate Professor at the Department of Computer Science at the University of Toronto, where she also serves as the Associate Chair of Research. She holds the prestigious Canada Research Chair in Parallel and Distributed Computing and is the recipient of \u0026nbsp;the Ontario Early Researcher Award. Additionally, she has served as the General Chair of PPoPP and is the Associate Editor for the Journal of Parallel and Distributed Computing. Maryam\u0027s works on building compilers and systems \u0026nbsp;that automatically transform computation patterns to patterns that are amenable \u0026nbsp;to optimization. Her software packages have been widely adopted by domain experts, particularly in computer graphics and machine learning.\u0026nbsp;\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Associate Professor Maryam Mehri Dehnavi, University of Toronto\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;November 10, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 114\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;School of CSE Professor Rich Vuduc\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003EThe Power of Less: Harnessing Sparsity for Performance Optimization\u003C\/em\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Maryam Mehri Dehnavi, associate professor at University of Toronto"}],"uid":"36319","created_gmt":"2023-09-28 17:46:31","changed_gmt":"2023-10-23 18:01:33","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-11-10T14:00:00-05:00","event_time_end":"2023-11-10T15:00:00-05:00","event_time_end_last":"2023-11-10T15:00:00-05:00","gmt_time_start":"2023-11-10 19:00:00","gmt_time_end":"2023-11-10 20:00:00","gmt_time_end_last":"2023-11-10 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":["free_food"],"hg_media":{"672139":{"id":"672139","type":"image","title":"Mehri Dehnavi.jpg","body":null,"created":"1698084063","gmt_created":"2023-10-23 18:01:03","changed":"1698084063","gmt_changed":"2023-10-23 18:01:03","alt":"Maryam Mehri Dehnavi","file":{"fid":"255327","name":"Mehri Dehnavi.jpg","image_path":"\/sites\/default\/files\/2023\/10\/23\/Mehri%20Dehnavi.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/10\/23\/Mehri%20Dehnavi.jpg","mime":"image\/jpeg","size":1956565,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/10\/23\/Mehri%20Dehnavi.jpg?itok=IxCda_GV"}}},"media_ids":["672139"],"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"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Rich Vuduc (richie@cc.gatech.edu)\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"669997":{"#nid":"669997","#data":{"type":"event","title":"CSE \u0026 IDEaS Distinguished Lecture: Sanjay Ranka","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Distinguished Professor Sanjay Ranka, University of Florida\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;October 20, 2:00-4:00 p.m. (Seminar followed by reception)\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 230\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Regents\u0027 Professor Srinivas Aluru, School of CSE faculty and Executive Director of IDEaS\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle: \u003C\/strong\u003E\u003Cem\u003EData Science for Scientific Data Compression and Transportation Applications\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EIn this talk, I will present my recent work on developing data science solutions for large scale applications in scientific computing and transportation.\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\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThe volume of data generated by scientific applications has continued to outpace the growth of computing power and storage capacities. Unlike video and image compression, scientists require downstream quantities of interest to be conserved along with error bounds on primary data. We have developed novel constrained auto encoders based algorithmic and software pipelines that satisfy both these requirements. For data generated using Tokomak simulation codes that produce petabytes of data using thousands of GPUS, we have shown that our approach can compress the data by two orders of magnitude while requiring less than one percent of computational resources.\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\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EMitigating traffic congestion and improving safety are the cornerstones of transportation. We have developed an ML based edge-cloud based system to analyze and fuse data streams from LIDAR, cameras and ground sensor data for quantifying and impacting pedestrian and vehicle safety. Using the data collected, we are also developing digital twins that model behavior at traffic intersections. The underlying models are useful for detecting interruptions as well as optimizing signal timing plans. We will present experimental results on data collected from real-traffic intersections in the City of Gainesville and City of Orlando.\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\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThis work is supported by DOE, NSF, and FDOT.\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\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ESanjay Ranka is a Distinguished Professor in the Department of Computer Information Science and Engineering at the University of Florida. From 1999-2002, as the Chief Technology Officer at Paramark (Sunnyvale, CA), he developed a real-time optimization service called PILOT for marketing campaigns. PILOT served more than 10+ million optimized decisions a day in 2002 with a 99.99% uptime. Paramark was recognized by VentureWire\/Technologic Partners as a Top 100 Internet technology company in 2001 and 2002 and was acquired in 2002. Sanjay has also held positions as a tenured faculty member at Syracuse University, academic visitor at IBM and summer researcher at Hitachi America Limited.\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\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EHe has coauthored one book, four monographs, 340+ journal and refereed conference articles. His recent coauthored work has received a best student paper runner-up award at IGARSS 2015, best paper award at BICOB 2014, best student paper award at ACM-BCB 2010, best paper runner-up award at KDD-2009, a nomination for the Robbins Prize for the best paper in the Journal of Physics in Medicine and Biology in 2008, and a best paper award at ICN 2007. His work has received 15,900+ citations with an h-index of 63 (based on Google Scholar).\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\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EHe is a fellow of the IEEE, AAAS and AAIA (Asia-Pacific Artificial Intelligence Association) and a past member of IFIP Committee on System Modeling and Optimization. He received the 2020 Research Impact Award from IEEE Technical Committee on Cloud Computing and the 2022 Distinguished Alumnus Award from Indian Institute of Technology, Kanpur. He is a board member of American Society on Artificial Intelligence.\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\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EHe is currently an associate editor for ACM Computing Surveys, IEEE\/ACM Transactions on Computational Biology and Bioinformatics, Sustainable Computing: Systems and Informatics, Knowledge and Information Systems, and International Journal of Computing. Additionally, he is a book series editor for CRC Press for Bigdata. In the past, he has been an associate editor for IEEE Transactions on Parallel and Distributed Systems and IEEE Transactions on Computers, and an associate editor-in-chief of the Journal of Parallel and Distributed Computing. He was a general co-chair for ICDM in 2009, International Green Computing Conference in 2010, International Green Computing Conference in 2011, ACM Conference on Bioinformatics Computational Biology in 2012, and IEEE DataCOM in 2017. He was a program chair for 2013 International Parallel and Distributed Processing Symposium, 2015 High Performance Computing Conference, and a program co-chair for ICDM 2022.\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\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EHe has consulted for several startups and Fortune 500 companies.\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\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Distinguished Professor Sanjay Ranka, University of Florida\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;October 20, 2:00-4:00 p.m. (Seminar followed by reception)\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 230\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Regents\u0027 Professor Srinivas Aluru, School of CSE faculty and Executive Director of IDEaS\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle: \u003C\/strong\u003E\u003Cem\u003EData Science for Scientific Data Compression and Transportation Applications\u003C\/em\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE and IDEaS hosts a seminar from Sanjay Ranka, distinguished professor at University of Florida"}],"uid":"36319","created_gmt":"2023-09-28 13:47:34","changed_gmt":"2023-10-16 19:03:45","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-10-20T14:00:00-04:00","event_time_end":"2023-10-20T16:00:00-04:00","event_time_end_last":"2023-10-20T16:00:00-04:00","gmt_time_start":"2023-10-20 18:00:00","gmt_time_end":"2023-10-20 20:00:00","gmt_time_end_last":"2023-10-20 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":["free_food"],"hg_media":{"671868":{"id":"671868","type":"image","title":"Sanjay Ranka.jpeg","body":null,"created":"1695908862","gmt_created":"2023-09-28 13:47:42","changed":"1695908862","gmt_changed":"2023-09-28 13:47:42","alt":"Sanjay Ranka","file":{"fid":"255013","name":"Sanjay Ranka.jpeg","image_path":"\/sites\/default\/files\/2023\/09\/28\/Sanjay%20Ranka.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/09\/28\/Sanjay%20Ranka.jpeg","mime":"image\/jpeg","size":5517,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/09\/28\/Sanjay%20Ranka.jpeg?itok=7RYr04Rd"}}},"media_ids":["671868"],"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"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAditya Prakash - badityap@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"670321":{"#nid":"670321","#data":{"type":"event","title":"NSA COMPUTER NETWORK OPERATIONS EVENT","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EEvent:\u0026nbsp;\u003C\/strong\u003ENSA COMPUTER NETWORK OPERATIONS EVENT\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EOctober 24, 2023\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETime:\u0026nbsp;\u003C\/strong\u003E11am \u2013 1pm\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKlaus Advanced Computing Building\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E1116 East \u0026amp; West Seminar Room\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E266 Ferst Drive, NW\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAtlanta GA 30332\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe NSA is visiting the top 20 schools in the nation for Computer Network Operations outreach this fall, and at the end of the month they\u0027ll be at Georgia Tech! Join us in the\u0026nbsp;1116 East \u0026amp; West Seminar Room\u003Cstrong\u003E\u003Cem\u003E\u0026nbsp;\u003C\/em\u003E\u003C\/strong\u003Eof the Klaus Advanced Computing Building for a\u0026nbsp;60-minute info session followed by a half hour of networking, swag, and resume swapping!\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFree pizza will be provided.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Academic Engagement Specialists from the National Security Agency will be visiting campus for a 60-minute information session followed by a 30 min networking session specific for Georgia Tech students."}],"uid":"36253","created_gmt":"2023-10-10 16:12:39","changed_gmt":"2023-10-11 17:39:20","author":"John Popham","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-10-24T11:00:00-04:00","event_time_end":"2023-10-24T13:00:00-04:00","event_time_end_last":"2023-10-24T13:00:00-04:00","gmt_time_start":"2023-10-24 15:00:00","gmt_time_end":"2023-10-24 17:00:00","gmt_time_end_last":"2023-10-24 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus Advanced Computing Building","extras":["free_food"],"hg_media":{"671994":{"id":"671994","type":"image","title":"NSA COMPUTER NETWORK OPERATIONS EVENT","body":null,"created":"1696954668","gmt_created":"2023-10-10 16:17:48","changed":"1697046051","gmt_changed":"2023-10-11 17:40:51","alt":"decorative ","file":{"fid":"255169","name":"scp_nsa_nco graphic_sml.jpg","image_path":"\/sites\/default\/files\/2023\/10\/10\/scp_nsa_nco%20graphic_sml_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/10\/10\/scp_nsa_nco%20graphic_sml_0.jpg","mime":"image\/jpeg","size":1443950,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/10\/10\/scp_nsa_nco%20graphic_sml_0.jpg?itok=3c-j5Fei"}}},"media_ids":["671994"],"groups":[{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[{"id":"31221","name":"computer networking"},{"id":"181818","name":"cybersceurity"},{"id":"105591","name":"career event"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EGloria Griessman,\u0026nbsp;Senior Director of Strategic Initiatives\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOffice of\u0026nbsp;Corporate Engagement\u003C\/p\u003E\r\n\r\n\u003Cp\u003Egloria.griessman@gatech.edu\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"670342":{"#nid":"670342","#data":{"type":"event","title":"IDEaS Generative AI Seminar | Adobe Firefly: Empowering Human Creativity with Generative AI - Featuring Dr. Oliver Brdiczka, Director of Applied Research, Adobe Inc.","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003EIn this seminar, we will dive into the fascinating world of Generative AI for Creativity. We will review the latest advancements in this field, including Large Language Models (LLMs), diffusion models, and their applications such as text-to-image generation and text-to-design template creation. A key highlight will be Adobe Firefly, a suite of Generative AI models released by Adobe in March 2023. This innovative product suite has revolutionized the creative process for millions of users worldwide, offering tools like Generative Fill that were previously unimaginable. We will look into the practical aspects of transforming these cutting-edge technologies into viable, user-friendly products, discussing potential challenges and pitfalls. Additionally, we will touch upon the ethical implications of these technologies, underscoring the importance of responsible AI development and use.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003EDr. Oliver Brdiczka is currently serving as the Director of Applied Science at Adobe Inc., where he spearheads the integration of Generative AI technologies into Adobe\u2019s suite of products, including Adobe Firefly. Prior to his tenure at Adobe, Dr. Brdiczka ran his own AI startup, and also made significant contributions to groundbreaking DARPA programs such as PAL and ADAMS during his time at Xerox PARC. Dr. Brdiczka\u2019s research focus lies at the intersection of artificial intelligence and human-centered computing. Over the years, he has shared his findings and insights through more than 100 peer-reviewed research papers and has been granted over 40 patents.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EIDEaS Generative AI Seminar | Adobe Firefly: Empowering Human Creativity with Generative AI - Featuring Dr. Oliver Brdiczka, Director of Applied Research, Adobe Inc.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"IDEaS Generative AI Seminar | Adobe Firefly: Empowering Human Creativity with Generative AI - Featuring Dr. Oliver Brdiczka, Director of Applied Research, Adobe Inc."}],"uid":"36319","created_gmt":"2023-10-11 12:20:15","changed_gmt":"2023-10-11 12:22:03","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-10-31T15:30:00-04:00","event_time_end":"2023-10-31T16:30:00-04:00","event_time_end_last":"2023-10-31T16:30:00-04:00","gmt_time_start":"2023-10-31 19:30:00","gmt_time_end":"2023-10-31 20:30:00","gmt_time_end_last":"2023-10-31 20:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Clough 152 (AT\u0026T Auditorium)","extras":[],"hg_media":{"671916":{"id":"671916","type":"image","title":"Oliver Brdiczka.png","body":"\u003Cp\u003EHead-shot of Dr. Oliver Brdiczka, Director of Applied Research, Adobe Inc.\u003C\/p\u003E\r\n","created":"1696267070","gmt_created":"2023-10-02 17:17:50","changed":"1696267070","gmt_changed":"2023-10-02 17:17:50","alt":"Dr. Oliver Brdiczka, Director of Applied Research, Adobe Inc.","file":{"fid":"255072","name":"Oliver Brdiczka.png","image_path":"\/sites\/default\/files\/2023\/10\/02\/Oliver%20Brdiczka.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/10\/02\/Oliver%20Brdiczka.png","mime":"image\/png","size":4065263,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/10\/02\/Oliver%20Brdiczka.png?itok=7N9hpLPo"}}},"media_ids":["671916"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003Epolo@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"669996":{"#nid":"669996","#data":{"type":"event","title":"School of CSE Seminar Series: Yuanyuan Shi","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Assistant Professor Yuanyuan Shi, University of California, San Diego\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;October 13, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 230\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;School of CSE Assistant Professor Florian\u0026nbsp;Sch\u00e4fer\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EPerformance-Guaranteed Learning and Control for Sustainable Energy Systems\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThe past decade has witnessed success of learning and control methods such as reinforcement learning (RL) in a broad spectrum of applications, such as game play, robotics, and autonomous driving. As a result, the application of RL in sustainability applications has attracted surging attention recently. Despite the promise, one of the biggest challenges for the deployment of RL in energy systems is the lack of stability and performance guarantees. Since energy systems are critical infrastructure, failure to maintain stability can lead to catastrophic consequences. \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\u003EIn this talk, I will introduce our recent work on developing a stability constrained RL framework that combines policy learning in RL with Lyapunov stability in control to learn policy with formal stability guarantees. Using two illustrative sustainable energy system examples, I will discuss how can we systematically construct the stability constraints and incorporate them into RL via neural network structure design. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EYuanyuan Shi is an Assistant Professor at the Department of Electrical and Computer Engineering at the University of California San Diego. She received her Ph.D. in Electrical Engineering, masters in Electrical Engineering and Statistics, all from the University of Washington, in 2020. From 2020 to 2021, she was a Postdoctoral Scholar at the California Institute of Technology. Her research interests lie in the areas of machine learning, dynamical systems and control, with applications in sustainable energy systems. \u003C\/span\u003E\u003Cspan\u003EShe is a recipient of multiple awards, including the Rising Star award in EECS by MIT in 2018, the Scientific Achievement Award from the University of Washington \u003C\/span\u003EClean Energy Institute in 2020, and the best paper finalist from ACM e-Energy 2022.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Assistant Professor Yuanyuan Shi, University of California, San Diego\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;October 13, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 230\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;School of CSE Assistant Professor Florian\u0026nbsp;Sch\u00e4fer\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EPerformance-Guaranteed Learning and Control for Sustainable Energy Systems\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/em\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Yuanyuan Shi, assistant professor at UCSD"}],"uid":"36319","created_gmt":"2023-09-28 13:40:57","changed_gmt":"2023-10-10 12:26:04","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-10-13T14:00:00-04:00","event_time_end":"2023-10-13T15:00:00-04:00","event_time_end_last":"2023-10-13T15:00:00-04:00","gmt_time_start":"2023-10-13 18:00:00","gmt_time_end":"2023-10-13 19:00:00","gmt_time_end_last":"2023-10-13 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":["free_food"],"hg_media":{"671867":{"id":"671867","type":"image","title":"Yuanyuan Shi.jpeg","body":null,"created":"1695908471","gmt_created":"2023-09-28 13:41:11","changed":"1695908471","gmt_changed":"2023-09-28 13:41:11","alt":"Yuanyuan Shi","file":{"fid":"255012","name":"Yuanyuan Shi.jpeg","image_path":"\/sites\/default\/files\/2023\/09\/28\/Yuanyuan%20Shi.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/09\/28\/Yuanyuan%20Shi.jpeg","mime":"image\/jpeg","size":203588,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/09\/28\/Yuanyuan%20Shi.jpeg?itok=2RB5JL7_"}}},"media_ids":["671867"],"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"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Florian\u0026nbsp;Sch\u00e4fer\u0026nbsp;(florian.schaefer@cc.gatech.edu)\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"669995":{"#nid":"669995","#data":{"type":"event","title":"School of CSE Seminar Series: Jean-Luc Guermond","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Professor Jean-Luc Guermond,\u0026nbsp;Texas A\u0026amp;M University\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;October 6, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 230\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;School of CSE Assistant Professor Florian\u0026nbsp;Sch\u00e4fer\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003EInvolution and Invariant-Domain Preserving Approximation of the Ideal Magneto-Hydrodynamics Equations\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003EI will discuss recent results regarding the approximation of Maxwell\u0027s equations written in first-order form. I will show in particular that the discontinuous Galerkin approximation is spectrally correct. This result is based on the observation that the discontinuous Galerkin approximation preserves a fundamental involution property which is known as Gauss\u0027s law in the literature. A similar result is conjectured to hold true for stabilized continuous finite elements. I will also present a numerical technique for solving the ideal MHD equations that is invariant-domain preserving and involution preserving. The key novelty is that no divergence cleaning is needed.\u0026nbsp; The method will be numerically illustrated using continuous finite elements. The first part of this project is a joint work with Alexandre Ern (ENPC, Paris).\u0026nbsp; The second part of this project is a joint work with Tuan Anh Dao (Uppsala University) and Ignacio Tomas (Texas Tech University).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003EDr. Jean-Luc Guermond joined Texas A\u0026amp;M\u2019s Department of Mathematics in 2004 and has been the Richard E. Ewing ExxonMobil Chair since 2012. Dr. Guermond\u2019s research interests include numerical analysis and partial differential equations. He received his Ph.D. from the University of Paris VI before becoming a research associate in the Department of Ocean Engineering at MIT and the Computer Science Laboratory for Mechanics and Engineering Sciences in Orsay, France, amongst others. Dr. Guermond has served as International Chair for Inria and received grants from the Air Force Office of Scientific Research, Army Research Office, Department of Energy, and National Science Foundation. His is a Fellow of both the American Mathematical Society and the Society of Industrial and Applied Mathematics. He is a managing editor for various journals.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Professor Jean-Luc Guermond,\u0026nbsp;Texas A\u0026amp;M University\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;October 6, 2:00-3:00 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 230\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;School of CSE Assistant Professor Florian\u0026nbsp;Sch\u00e4fer\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cem\u003EInvolution and Invariant-Domain Preserving Approximation of the Ideal Magneto-Hydrodynamics Equations\u003C\/em\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Jean-Luc Guermond, professor at Texas A\u0026M University"}],"uid":"36319","created_gmt":"2023-09-28 13:32:27","changed_gmt":"2023-09-28 13:33:58","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-10-06T14:00:00-04:00","event_time_end":"2023-10-06T15:00:00-04:00","event_time_end_last":"2023-10-06T15:00:00-04:00","gmt_time_start":"2023-10-06 18:00:00","gmt_time_end":"2023-10-06 19:00:00","gmt_time_end_last":"2023-10-06 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 230","extras":["free_food"],"hg_media":{"671866":{"id":"671866","type":"image","title":"guermond_j.png","body":null,"created":"1695907958","gmt_created":"2023-09-28 13:32:38","changed":"1695907958","gmt_changed":"2023-09-28 13:32:38","alt":"Jean-Luc Guermond","file":{"fid":"255011","name":"guermond_j.png","image_path":"\/sites\/default\/files\/2023\/09\/28\/guermond_j.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/09\/28\/guermond_j.png","mime":"image\/png","size":98541,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/09\/28\/guermond_j.png?itok=dDJO_0mG"}}},"media_ids":["671866"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[{"id":"76231","name":"Computational Science and Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Florian\u0026nbsp;Sch\u00e4fer\u0026nbsp;(florian.schaefer@cc.gatech.edu)\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}