{"690015":{"#nid":"690015","#data":{"type":"event","title":"2026 Robotics Research Showcase","body":[{"value":"\u003Cp\u003EThe showcase\u0026nbsp;will highlight innovative robotics research\u0026nbsp;taking place across campus and will provide an opportunity for faculty, researchers, and students to engage with ongoing work within the robotics community. The program will include brief research\u0026nbsp;presentations by Research\u0026nbsp;Neighborhood and Research\u0026nbsp;Initiative Leaders, followed by a poster session featuring current research\u0026nbsp;from students and affiliated labs.\u003C\/p\u003E\u003Ch4\u003E\u003Cstrong\u003EEvent Agenda\u0026nbsp;\u003C\/strong\u003E\u003C\/h4\u003E\u003Cul\u003E\u003Cli\u003E12:00 \u2013 12:45 PM\u003Cstrong\u003E |\u0026nbsp;\u003C\/strong\u003EArrival, Lunch, and Networking\u003C\/li\u003E\u003Cli\u003E12:45 \u2013 1:15 PM | Welcome and IRIM Updates - Executive Director Greg Sawicki (Q\u0026amp;A to follow)\u003C\/li\u003E\u003Cli\u003E1:15 \u2013 1:30 PM Break\u003C\/li\u003E\u003Cli\u003E1:30 \u2013 2:45 PM | Research Neighborhood \u0026amp; Research Initiative Updates + All Hands Q\u0026amp;A\u003C\/li\u003E\u003Cli\u003E1:30 \u2013 1:45 PM \u2013 Human-Robot Collaborative Teaming | Speaker: Ye Zhao\u003C\/li\u003E\u003Cli\u003E1:45 \u2013 2:00 PM \u2013 Agricultural Robotics | Speaker: Colin Usher\u003C\/li\u003E\u003Cli\u003E2:00 \u2013 2:15 PM \u2013 Household Robotics | Speaker: Sonia Chernova\u003C\/li\u003E\u003Cli\u003E2:15 \u2013 2:30 PM \u2013 Construction Robotics | Speaker: Edvard Bruun\u003C\/li\u003E\u003Cli\u003E2:45 \u2013 4:00 PM \u0026nbsp;| Poster Session (Atrium)\u0026nbsp;\u003C\/li\u003E\u003C\/ul\u003E\u003Ch6\u003E\u003Ca href=\u0022https:\/\/app.smartsheet.com\/b\/form\/019d2cba698573d7b36ab2e858ed9f67\u0022\u003EREGISTRATION LINK\u003C\/a\u003E\u003C\/h6\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe showcase\u0026nbsp;will highlight innovative robotics research\u0026nbsp;taking place across campus and will provide an opportunity for faculty, researchers, and students to engage with ongoing work within the robotics community.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Thursday, April 30, 2026 | 12pm \u2013 4pm |  Marcus Nanotechnology Building 1118 \u0026 Atrium"}],"uid":"27863","created_gmt":"2026-04-24 18:45:35","changed_gmt":"2026-04-24 18:50:56","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-30T12:00:00-04:00","event_time_end":"2026-04-30T16:00:00-04:00","event_time_end_last":"2026-04-30T16:00:00-04:00","gmt_time_start":"2026-04-30 16:00:00","gmt_time_end":"2026-04-30 20:00:00","gmt_time_end_last":"2026-04-30 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Marcus Nanotechnology Building 1118 \u0026 Atrium","extras":["free_food"],"groups":[{"id":"322011","name":"College of Computing Events"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"188087","name":"go-irim"},{"id":"195060","name":"Construction Robotics"},{"id":"187858","name":"GTRI Agricultural Robotics"},{"id":"143211","name":"collaborative robots"},{"id":"188084","name":"go-ipat"},{"id":"186857","name":"go-gtmi"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1789","name":"Conference\/Symposium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"689941":{"#nid":"689941","#data":{"type":"event","title":"SCS Visitor Seminar- Ilias Diakonikolas","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title: \u003C\/strong\u003EAlgorithmic Foundations of Robust Learning\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker: \u0026nbsp;\u003C\/strong\u003EIlias Diakonikolas, Professor, The University of Wisconsin\u2013Madison\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ERobustness is a basic requirement for trustworthy machine learning, yet achieving it efficiently in high dimensions has long been a fundamental challenge. For decades, the prevailing view was that learning algorithms with strong robustness guarantees necessarily come with prohibitive computational cost, creating a sharp tension between statistical guarantees and algorithmic tractability. This talk describes a research program aimed at overcoming this barrier through an algorithmic theory of robust learning.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;I will describe two interconnected threads within this research program. The first develops a unified framework for efficient robust high-dimensional estimation, including the first polynomial-time algorithms for several fundamental unsupervised learning tasks under adversarial corruption. The second studies supervised learning under noisy labels, with an emphasis on learning predictors with low-dimensional latent representations. I will conclude by discussing future directions, including robustness beyond worst-case corruption and the efficient learning of richer nonlinear representations.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003Elias Diakonikolas is the Lubar Professor in the Department of Computer Sciences at UW Madison. He obtained a Diploma in electrical and computer engineering from the National Technical University of Athens and a Ph.D. in computer science from Columbia University where he was advised by Mihalis Yannakakis. Before moving to UW, he was an Andrew and Erna Viterbi Early Career Chair at USC and a faculty member at the University of Edinburgh. Prior to that, he was the Simons postdoctoral fellow in theoretical computer science at the University of California, Berkeley. His research is on the algorithmic foundations of massive data sets, in particular on designing efficient algorithms for fundamental problems in machine learning. He is a recipient of the ACM Grace Murray Hopper award, a Sloan Fellowship, an NSF CAREER Award, a Romnes Faculty Fellowship, a Google Faculty Research Award, a Marie Curie Fellowship, best paper awards at NeurIPS and COLT, the IBM Research Pat Goldberg Best Paper Award, and an honorable mention in the George Nicholson competition from the INFORMS society. Ilias wrote with Daniel Kane the textbook \u0022Algorithmic High-dimensional Robust Statistics\u0022 published by Cambridge University Press.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title: \u003C\/strong\u003EAlgorithmic Foundations of Robust Learning\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker: \u0026nbsp;\u003C\/strong\u003EIlias Diakonikolas, Professor, The University of Wisconsin\u2013Madison\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"SCS Visitor Seminar-  Ilias Diakonikolas, Professor, The University of Wisconsin\u2013Madison"}],"uid":"36532","created_gmt":"2026-04-21 20:35:11","changed_gmt":"2026-04-21 20:35:11","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-28T11:00:00-04:00","event_time_end":"2026-04-28T12:00:00-04:00","event_time_end_last":"2026-04-28T12:00:00-04:00","gmt_time_start":"2026-04-28 15:00:00","gmt_time_end":"2026-04-28 16:00:00","gmt_time_end_last":"2026-04-28 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"KACB 2447","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194683","name":"Talk"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"689818":{"#nid":"689818","#data":{"type":"event","title":"HotCSE Seminar: ShengYun (Anthony) Peng","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE CS Ph.D. Candidate ShengYun (Anthony) Peng\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, April 29, 2026, at 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 114 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ELunch provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ESafety Alignment of Generative Foundation Models\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E: Modern LLMs are safety-aligned through supervised finetuning (SFT) and reinforcement learning from human feedback (RLHF) to mitigate harmful, undesirable, or disallowed outputs. Despite ongoing progress, LLMs still exhibit critical safety gaps: models can be jailbroken into revealing harmful content, often overrefuse benign queries, and fail to maintain safety under adversarial scenarios. My dissertation research advances the safety alignment of generative foundation models by developing principled tools, architectures, and training methods that strengthen their robustness and reliability at scale. Specifically, this thesis focuses on three complementary thrusts: a) Understanding and shaping the safety landscape of LLMs, b) Internalizing safety in agentic reasoning intelligence, and c) Grounding safety and robustness in multimodal perception.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E: Anthony is a CS Ph.D. candidate at Georgia Tech working with Polo Chau. His thesis research has elevated foundational AI efforts at Nvidia, Meta, IBM, Intel, and ADP via internships and collaborations, and has resulted in several first-author publications and awards at NeurIPS, ACL, ICCV, EMNLP, CVPR, and BMVC. His research has contributed to the AI foundation of multiple funded industry research grants totaling over $1.4M. Learn more about him at \u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fshengyun-peng.github.io%2F\u0026amp;data=05%7C02%7Cbwine3%40gtvault.onmicrosoft.com%7C303dc9415eb14fefcb7808de9c1a020a%7C482198bbae7b4b258b7a6d7f32faa083%7C1%7C0%7C639119832703433041%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C\u0026amp;sdata=f1MXbtHfeOkhqSyFga9YXc%2FrtttSTocImXrE3taAf5I%3D\u0026amp;reserved=0\u0022 id=\u0022OWA726a464e-7dc2-62f2-9b14-343d384d9f8b\u0022 title=\u0022Original URL:\u0026#13;https:\/\/shengyun-peng.github.io\/\u0026#13;\u0026#13;Click to follow link.\u0022\u003Eshengyun-peng.github.io\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EAbout HotCSE\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003EHotCSE is an academic seminar series to bring Ph.D. students in Computational Science and Engineering together to discuss interesting topics. The topics consist of high-performance computing, machine learning, data analysis, simulation, computational sustainability, medical informatics, etc.\u003C\/p\u003E\u003Cp\u003EThe talks have always been enjoyable and have ranged from quite informal to formal conference style talks. Either chalks or slides can be used to help people understand your talk. It is also a great forum to practice conference talks and bounce around new ideas.\u003C\/p\u003E\u003Cp\u003ECurrently the talks are sponsored by the School of Computational Science and Engineering. The goal of CSE is slightly broader than that of these talks - we want to bring more people outside CSE to discuss their related work here.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003ESchool of CSE CS Ph.D. Candidate ShengYun (Anthony) Peng\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, April 29, 2026, at 12:00 p.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda, Room 114 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ESafety Alignment of Generative Foundation Models\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Safety Alignment of Generative Foundation Models"}],"uid":"36319","created_gmt":"2026-04-17 12:22:27","changed_gmt":"2026-04-17 12:30:29","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-29T12:00:00-04:00","event_time_end":"2026-04-29T13:00:00-04:00","event_time_end_last":"2026-04-29T13:00:00-04:00","gmt_time_start":"2026-04-29 16:00:00","gmt_time_end":"2026-04-29 17:00:00","gmt_time_end_last":"2026-04-29 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":["free_food"],"hg_media":{"679985":{"id":"679985","type":"image","title":"Anthony-Peng.jpg","body":null,"created":"1776428985","gmt_created":"2026-04-17 12:29:45","changed":"1776428985","gmt_changed":"2026-04-17 12:29:45","alt":"ShengYun Anthony Peng HotCSE","file":{"fid":"264214","name":"Anthony-Peng.jpg","image_path":"\/sites\/default\/files\/2026\/04\/17\/Anthony-Peng.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/04\/17\/Anthony-Peng.jpg","mime":"image\/jpeg","size":17786,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/04\/17\/Anthony-Peng.jpg?itok=XAafvFai"}}},"media_ids":["679985"],"related_links":[{"url":"https:\/\/hotcse.gatech.edu\/","title":"HotCSE"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"194945","name":"Alumni"},{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ECSE Graduate Student Association\u003C\/p\u003E\u003Cp\u003Ecse-gsa@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"689750":{"#nid":"689750","#data":{"type":"event","title":"IDEaS Over POPS!","body":[{"value":"\u003Cp\u003ECome celebrate the last day of classes with the Institute for Data Engineering and Science community. \u0026nbsp;Students are especially welcome, and we are expecting students from Data Science at GT, the Supercomputing club, and the Data Safety Initiative. \u0026nbsp;Come find out how our students found the spring semester, and their views about data science, ML, and AI in education.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cbr\u003EIDEaS-affiliated students and staff are also welcome.\u003Cbr\u003E\u003Cbr\u003EIf you do not have access to Coda, near the beginning of the event we will have a staff member or student waiting by the reception desk near the elevators to escort people up.\u003C\/p\u003E\u003Cp\u003EFor questions please contact \u003Ca href=\u0022mailto:Ashley.edwards@gatech.edu\u0022\u003EAshley.edwards@gatech.edu\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EAI is charging forward with unprecedented speed and impact. Please join us on the 3rd Monday of each month for open discussions about the direction and development of AI. \u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"AI is charging forward with unprecedented speed and impact. "}],"uid":"27863","created_gmt":"2026-04-14 18:18:43","changed_gmt":"2026-04-14 18:21:39","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-27T14:00:00-04:00","event_time_end":"2026-04-27T15:00:00-04:00","event_time_end_last":"2026-04-27T15:00:00-04:00","gmt_time_start":"2026-04-27 18:00:00","gmt_time_end":"2026-04-27 19:00:00","gmt_time_end_last":"2026-04-27 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"IDEaS Suite CODA 12th Flr.","extras":["free_food"],"groups":[{"id":"322011","name":"College of Computing Events"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"187023","name":"go-data"},{"id":"192863","name":"go-ai"},{"id":"187812","name":"artificial intelligence (AI)"},{"id":"189814","name":"go-researchevents"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"},{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"689209":{"#nid":"689209","#data":{"type":"event","title":"IDEaS Upskilling Workshop on AI for Research - COURSE IS FULL","body":[{"value":"\u003Cp\u003EJoin us for an afternoon of demonstrations on how AI can be used in research.\u0026nbsp; Topics will include using AI for visualization and creating high-quality graphics, as an aid to learn new software, and as an assistant in writing code.\u0026nbsp; The workshop will also discuss how to integrate AI with high-performance computing platforms like PACE, and introduce Georgia Tech resources and policies.\u0026nbsp; The workshop is primarily aimed at graduate students and postdocs, but other members of the Georgia Tech community are welcome as well.\u003C\/p\u003E\u003Cp\u003ECoffee and snacks will be served.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Ch3\u003ECOURSE IS FULL\u003C\/h3\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe workshop is primarily aimed at graduate students and postdocs, but other members of the Georgia Tech community are welcome as well.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Join us for an afternoon of demonstrations on how AI can be used in research.  "}],"uid":"27863","created_gmt":"2026-03-26 17:47:52","changed_gmt":"2026-04-14 17:44:08","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-16T13:00:00-04:00","event_time_end":"2026-04-16T17:00:00-04:00","event_time_end_last":"2026-04-16T17:00:00-04:00","gmt_time_start":"2026-04-16 17:00:00","gmt_time_end":"2026-04-16 21:00:00","gmt_time_end_last":"2026-04-16 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Pettit Microelectronics Building; room 102A\/B","extras":["free_food"],"related_links":[{"url":"https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_08wG98yYNzMZmWW","title":"REGISTRATION LINK"}],"groups":[{"id":"213791","name":"3D Systems Packaging Research Center"},{"id":"322011","name":"College of Computing Events"},{"id":"1278","name":"College of Sciences"},{"id":"545781","name":"Institute for Data Engineering and Science"}],"categories":[],"keywords":[{"id":"187023","name":"go-data"},{"id":"192863","name":"go-ai"},{"id":"189814","name":"go-researchevents"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194682","name":"Workshop"},{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cstrong\u003EFor more information contact:\u003C\/strong\u003E\u003Cbr\u003EAshley Edwards [ashley.edwards@gatech.edu] Program \u0026amp; Operations Mgr Sr | Inst for Data Eng and Science\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"689516":{"#nid":"689516","#data":{"type":"event","title":"IDEaS + AI-ALOE Distinguished Lecture: AI and Lifelong Learning: Building the 60-Year Curriculum for the Fourth Industrial Revolution","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDigital technologies are reshaping our work and our lives at unprecedented speed. This presentation examines three forces driving this Fourth Industrial Revolution: exponentiality, convergence, and ubiquity, and their implications for higher education and adult learning. Dr. Schatz explores critical questions: How do we leverage AI-enabled personalization to support careers when 40% of worker skills become obsolete every five years? How do we design learning ecosystems that scale adaptive support across institutional boundaries? How do we use data to inform lifelong learning while respecting individuals\u2019 data sovereignty? Drawing on cognitive science and learning engineering research, this presentation offers actionable strategies for implementing AI-augmented adult learning systems that move from pilot projects to institutional practice.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBiosketch\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ESae (pronounced like \u201csay\u201d) works at the intersection of cognition, technology, and data. She specializes in bridging the gap between scientific principles and human-centered practice, and her unique approach to \u201cstrategic storytelling\u201d (translating complex topics into memorable messages) has garnered professional awards and seen her work translated into multiple languages.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIn 2023, Sae launched the Knowledge Forge LLC, a boutique consultancy offering keynotes, professional development workshops, and strategic services. Her clients include government agencies, academic institutions, and businesses. Recently, for example, she delivered keynotes at the UK Special Forces Club (Knightsbridge), Prometric board meeting, and Innovations in Testing annual conference. She\u2019s published works in \u003Cem\u003ETD Magazine,\u003C\/em\u003E \u003Cem\u003EDefense Dossier,\u003C\/em\u003E and the \u003Cem\u003EJournal of Military Learning\u003C\/em\u003E, and she\u0026nbsp;helped to produce the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.routledge.com\/Learning-Engineering-Toolkit-Evidence-Based-Practices-from-the-Learning-Sciences-Instructional-Design-and-Beyond\/Goodell-Kolodner\/p\/book\/9781032232829?srsltid=AfmBOopMzw226kDjR66s7Yz04gW69YXY6nNJGZhKmdgSwfopfD61RcQB\u0022\u003E\u003Cem\u003ELearning Engineering Toolkit\u003C\/em\u003E\u003C\/a\u003E\u003Cem\u003E\u0026nbsp;\u003C\/em\u003E(2022), authored\u0026nbsp;\u003Ca href=\u0022https:\/\/seasaltlearning.com\/engines-of-engagement-generative-ai-book\/\u0022\u003E\u003Cem\u003EEngines of Engagement: A Curious Book About Generative AI\u003C\/em\u003E\u003C\/a\u003E\u003Cem\u003E\u0026nbsp;\u003C\/em\u003E(2023), and contributed to the U.S. National Academies\u2019 report on\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nationalacademies.org\/our-work\/adult-learning-in-the-military-context\u0022\u003E\u003Cem\u003EAdult Learning in the Military Context\u003C\/em\u003E\u003C\/a\u003E (2024).\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EFrom 2015 to 2022, Sae served as the director of the Advanced Distributed Learning (ADL) Initiative, a U.S. Department of Defense program for research, development, and policy stewardship. She also co-chaired the NATO Training Group (NTG) Individual Training and Educational Developments task group. Under her leadership, the U.S. ADL Initiative sparked the international community\u2019s pursuit of the lifelong \u201cdigital learning ecosystem,\u201d in part with her popular book\u0026nbsp;\u003Ca href=\u0022https:\/\/adlnet.gov\/publications\/2019\/04\/modernizing-learning\/\u0022\u003E\u003Cem\u003EModernizing Learning: Building the Future Learning Ecosystem\u003C\/em\u003E\u003C\/a\u003E\u003Cem\u003E.\u003C\/em\u003E Her efforts were also formally recognized as \u201ca pathfinder for enterprise data services\u201d by then\u2013DoD Chief Data Officer David L. Spirk.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EBefore joining the civil service, Sae worked as an applied human-systems scientist in both business and academia. From 2011 to 2014, she was the chief scientist at MESH Solutions (a defense contractor), where she led the U.S. Marine Corps\u2019 Making Good Instructors Great project and the U.S. Joint Staff\u2019s award-winning Blended Learning\u2013Training effort. Prior to that, she held an assistant professorship with the University of Central Florida\u2019s Institute for Simulation and Training. Sae is a prolific writer and professional presenter as well as a graphic designer who often uses those skills to enhance books, presentations, and infographics.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EShe holds a doctorate in Modeling and Simulation (M\u0026amp;S), with an emphasis on human systems.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EDrawing on cognitive science and learning engineering research, this presentation offers actionable strategies for implementing AI-augmented adult learning systems that move from pilot projects to institutional practice.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring Sae Schatz, Ph.D. | Founder and CEO, the Knowledge Forge LLC"}],"uid":"27863","created_gmt":"2026-04-07 18:15:58","changed_gmt":"2026-04-07 19:25:06","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-05-14T14:00:00-04:00","event_time_end":"2026-05-14T15:00:00-04:00","event_time_end_last":"2026-05-14T15:00:00-04:00","gmt_time_start":"2026-05-14 18:00:00","gmt_time_end":"2026-05-14 19:00:00","gmt_time_end_last":"2026-05-14 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"CODA Building 9th floor Atrium","extras":[],"groups":[{"id":"322011","name":"College of Computing Events"},{"id":"1278","name":"College of Sciences"},{"id":"545781","name":"Institute for Data Engineering and Science"}],"categories":[],"keywords":[{"id":"187023","name":"go-data"},{"id":"192863","name":"go-ai"},{"id":"654","name":"College of Computing"},{"id":"192390","name":"generative AI"},{"id":"194394","name":"AI in Education"}],"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\u003Eashley.edwards@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":""}},"689207":{"#nid":"689207","#data":{"type":"event","title":"Amazon Bedrock AgentCore Workshop: From Prototype to Production","body":[{"value":"\u003Cp\u003EThis comprehensive hands-on workshop will guide participants through building a Mortgage Assistant Agent that demonstrates the full spectrum of AgentCore capabilities - from basic conversational AI to enterprise-grade deployment with memory, security, and observability.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWhat Participants Will Learn:\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003C\/strong\u003E\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003E\u0026nbsp; \u0026nbsp; Deploy secure, scalable AI agents using AgentCore Runtime\u003C\/li\u003E\u003Cli\u003E \u0026nbsp; 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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. 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"}],"uid":"27863","created_gmt":"2026-02-19 17:26:48","changed_gmt":"2026-02-19 17:29:27","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-27T14:00:00-04:00","event_time_end":"2026-04-27T15:00:30-04:00","event_time_end_last":"2026-04-27T15:00:30-04:00","gmt_time_start":"2026-04-27 18:00:00","gmt_time_end":"2026-04-27 19:00:30","gmt_time_end_last":"2026-04-27 19:00:30","rrule":null,"timezone":"America\/New_York"},"location":"IDEaS Suite CODA 12th Flr.","extras":["free_food"],"groups":[{"id":"322011","name":"College of Computing Events"},{"id":"1278","name":"College of Sciences"},{"id":"545781","name":"Institute for Data Engineering and Science"}],"categories":[],"keywords":[{"id":"187023","name":"go-data"},{"id":"189814","name":"go-researchevents"},{"id":"654","name":"College of Computing"},{"id":"187812","name":"artificial intelligence (AI)"},{"id":"192863","name":"go-ai"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"},{"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\u003EFor questions please contact Ashley.edwards@gatech.edu\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"687313":{"#nid":"687313","#data":{"type":"event","title":"2026 Spring CoC SCI Capstone Expo Event","body":[{"value":"\u003Cp\u003EGraduating students present original projects that demonstrate their ability to integrate research, theory, and practical problem-solving. 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