{"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! 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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":""}},"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! 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