{"691549":{"#nid":"691549","#data":{"type":"event","title":"IRIM Fall 2026 Seminar Series | Information, Coordination, and Incentives: A Dynamical Twist","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Autonomous systems increasingly operate alongside other strategic agents whose choices determine how well they perform. This talk presents game-theoretic tools for designing and analyzing such interactions, focusing on how information, coordination, and incentives shape outcomes in the presence of dynamics. I will first discuss dynamic Stackelberg games, in which a leader must act while updating its estimate of a strategic follower\u0027s intent in real time. By folding online estimates of the follower\u0027s objective into the leader\u0027s decision process, this framework captures the coupling between inference and control, and reveals that, unlike in optimal control, our standard notion of optimality is not consistent over time. I then turn to settings where independent decision-making is insufficient for achieving desirable outcomes, and show how correlated strategies offer a richer coordination mechanism, although it still needs to be reconciled with dynamical constraints. Finally, I discuss auction-based mechanisms for dynamical systems, where agents compete for limited resources under network constraints on their demands and actions.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Sarah H. Q. Li is an assistant professor in the School of Aerospace Engineering at the Georgia Institute of Technology, where she leads the Control, Coordination, and Competition under Uncertainty (C3U) Lab. She received her Ph.D. in aeronautics and astronautics at the University of Washington, and completed her postdoc with the Autonomous Control Lab at ETH Zurich. Her work combines optimal control, stochastic decision processes, and game theory to study how autonomous agents can coordinate safely and efficiently in uncertain environments.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAll Seminars Held on Wednesdays 12:15 - 1:15pm\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring | Sarah Li - Assistant Professor, Daniel Guggenheim School of Aerospace Engineering"}],"uid":"27863","created_gmt":"2026-08-07 16:56:20","changed_gmt":"2026-09-15 16:22:58","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-09-23T12:15:00-04:00","event_time_end":"2026-09-23T13:15:00-04:00","event_time_end_last":"2026-09-23T13:15:00-04:00","gmt_time_start":"2026-09-23 16:15:00","gmt_time_end":"2026-09-23 17:15:00","gmt_time_end_last":"2026-09-23 17:15:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus 1116 E\u0026W","extras":["free_food"],"related_links":[{"url":"https:\/\/sites.gatech.edu\/c3uae\/","title":"PI Website"}],"groups":[{"id":"322011","name":"College of Computing Events"},{"id":"1278","name":"College of Sciences"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"188087","name":"go-irim"},{"id":"133791","name":"aerospace enginering"},{"id":"654","name":"College of Computing"},{"id":"2028","name":"Aerial Robotics"},{"id":"11956","name":"Multi-Agent Robotics \u0026 Systems lab"}],"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\u003Echrista.ernst@research.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"691537":{"#nid":"691537","#data":{"type":"event","title":"Machine Learning Seminar Series Fall 2026 | Session VII","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E TBA\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Enric Boix-Adsera is an assistant professor of statistics and data science. His parents are originally from Barcelona, and he grew up mostly in Princeton, New Jersey. Before coming to Wharton, he earned a doctorate in electrical engineering and computer science from MIT.\u003C\/p\u003E\u003Cp\u003EBoix-Adsera studies the learning processes of artificial intelligence models, such as ChatGPT, with the goal of improving their efficiency and reliability.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Ch4\u003E\u0026nbsp;\u003Cstrong\u003EFor CODA guest access, please contact \u003C\/strong\u003E\u003Ca href=\u0022mailto:shatcher8@gatech.edu\u0022\u003E\u003Cstrong\u003Eshatcher8@gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E at least 2 business days prior to the event.\u003C\/strong\u003E\u003C\/h4\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAll Seminars Held 12pm - 1pm in CODA\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring | Enric Boix, Wharton School at University of Pennsylvania \u2013 Department of Statistics and Data Science"}],"uid":"27863","created_gmt":"2026-08-07 14:31:32","changed_gmt":"2026-08-13 14:18:23","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-12-02T12:00:00-05:00","event_time_end":"2026-12-02T13:00:00-05:00","event_time_end_last":"2026-12-02T13:00:00-05:00","gmt_time_start":"2026-12-02 17:00:00","gmt_time_end":"2026-12-02 18:00:00","gmt_time_end_last":"2026-12-02 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"CODA Building 9th floor Atrium \u0026 Virtual","extras":[],"related_links":[{"url":"https:\/\/eboix.github.io\/","title":"PI Website"}],"groups":[{"id":"322011","name":"College of Computing Events"},{"id":"1278","name":"College of Sciences"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"9167","name":"machine learning"},{"id":"654","name":"College of Computing"},{"id":"187023","name":"go-data"},{"id":"188087","name":"go-irim"}],"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\u003E\u003Cstrong\u003EFor CODA guest access, please contact \u003C\/strong\u003E\u003Ca href=\u0022mailto:shatcher8@gatech.edu\u0022\u003E\u003Cstrong\u003Eshatcher8@gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E at least 2 business days prior to the event.\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"691535":{"#nid":"691535","#data":{"type":"event","title":"Machine Learning Seminar Series Fall 2026 | Session VI","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003ETBA\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u0026nbsp;\u003C\/strong\u003EHal Daum\u00e9 III is a professor of computer science with appointments in the Maryland Language Science Center and the University of Maryland Institute for Advanced Computer Studies, where he is also the director of TRAILS. In addition to fairness and natural language processing, his research focuses on understanding computational properties of learning and language as well as trustworthy AI.\u003C\/p\u003E\u003Ch4\u003E\u0026nbsp;\u003C\/h4\u003E\u003Ch4\u003E\u003Cstrong\u003EFor CODA guest access, please contact \u003C\/strong\u003E\u003Ca href=\u0022mailto:shatcher8@gatech.edu\u0022\u003E\u003Cstrong\u003Eshatcher8@gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E at least 2 business days prior to the event.\u003C\/strong\u003E\u003C\/h4\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAll Seminars Held 12pm - 1pm in CODA\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring | Hal Daum\u00e9, University of Maryland \u2013 Department of Computer Science"}],"uid":"27863","created_gmt":"2026-08-07 14:25:42","changed_gmt":"2026-08-13 14:17:03","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-11T12:00:00-05:00","event_time_end":"2026-11-11T13:00:00-05:00","event_time_end_last":"2026-11-11T13:00:00-05:00","gmt_time_start":"2026-11-11 17:00:00","gmt_time_end":"2026-11-11 18:00:00","gmt_time_end_last":"2026-11-11 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"CODA Building 9th floor Atrium \u0026 Virtual","extras":[],"related_links":[{"url":"https:\/\/www.trails.umd.edu\/daume","title":"Lab Website"}],"groups":[{"id":"322011","name":"College of Computing Events"},{"id":"1278","name":"College of Sciences"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"9167","name":"machine learning"},{"id":"187023","name":"go-data"},{"id":"654","name":"College of Computing"},{"id":"188087","name":"go-irim"},{"id":"193860","name":"Artifical Intelligence"}],"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\u003E\u003Cstrong\u003EFor CODA guest access, please contact \u003C\/strong\u003E\u003Ca href=\u0022mailto:shatcher8@gatech.edu\u0022\u003E\u003Cstrong\u003Eshatcher8@gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E at least 2 business days prior to the event.\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"691559":{"#nid":"691559","#data":{"type":"event","title":"IRIM Fall 2026 Seminar Series VII","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E TBA\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EJeremy D. Brown, the John C. Malone Assistant Professor in the Department of Mechanical Engineering, explores the interface between humans and robotics, with a specific focus on medical applications and haptic feedback.\u003C\/p\u003E\u003Cp\u003EBrown\u2019s research sits at the intersection of engineering, biomechatronics, medicine, and psychophysics. He develops novel haptic interfaces for upper-limb prosthetics and minimally invasive surgical robotics. Applications of this research include giving amputees a sense of touch through their prostheses ,and helping surgeons use surgical robots to improve their accuracy and precision when performing delicate procedures.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAll Seminars Held on Wednesdays 12:15 - 1:15pm\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring |  Jeremy D. Brown - John C. Malone Associate Professor, Department of Mechanical Engineering, Johns Hopkins University"}],"uid":"27863","created_gmt":"2026-08-07 17:40:54","changed_gmt":"2026-08-07 17:43:53","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-18T12:15:00-05:00","event_time_end":"2026-11-18T13:15:00-05:00","event_time_end_last":"2026-11-18T13:15:00-05:00","gmt_time_start":"2026-11-18 17:15:00","gmt_time_end":"2026-11-18 18:15:00","gmt_time_end_last":"2026-11-18 18:15:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus 1116 E\u0026W","extras":["free_food"],"related_links":[{"url":"https:\/\/hamr.lcsr.jhu.edu\/","title":"PI Website"}],"groups":[{"id":"1278","name":"College of Sciences"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"188087","name":"go-irim"},{"id":"108031","name":"College of Engineering; Coulter Department of Biomedical Engineering"},{"id":"78681","name":"medical robotics"}],"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\u003E\u003Ca href=\u0022mailto:christa.ernst@research.gatech.edu\u0022\u003Echrista.ernst@research.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"691558":{"#nid":"691558","#data":{"type":"event","title":"IRIM Fall 2026 Seminar Series VI","body":[{"value":"\u003Cp\u003EAbstract:\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Tapomayukh \u0022Tapo\u0022 Bhattacharjee is an Assistant Professor in the Department of Computer Science at Cornell University where he directs the EmPRISE Lab (\u003Ca href=\u0022https:\/\/emprise.cs.cornell.edu\/\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/emprise.cs.cornell.edu\/\u003C\/a\u003E). He completed his Ph.D. in Robotics from Georgia Institute of Technology and was an NIH Ruth L. Kirschstein NRSA postdoctoral research associate in Computer Science \u0026amp; Engineering at the University of Washington. His primary research interests are in the area of physical robot caregiving and physical human-robot interaction. He is the recipient of TRI Young Faculty Researcher Award\u002724, NSF CAREER Award\u002723, AFCEA 40 under 40 Award\u002722, and his work has won Best Systems Paper Award at HRI\u201926, Best Paper Award at RSS\u201925, Best Paper and Student Paper Award Finalist and Best HRI Paper Award Finalist at ICRA\u201925, Best Systems Paper Award Finalist at HRI\u002724, Best Demo Award at HRI\u002724, Best RoboCup Paper Award at IROS\u201922, Best Paper Award Finalist and ABB Best Student Paper Award Finalist at IROS\u201922, Best Technical Advances Paper Award at HRI\u002719, and Best Demonstration Award at NeurIPS\u201918. His work has also been featured in many media outlets including the BBC, Reuters, New York Times, IEEE Spectrum, and GeekWire and his robot-assisted feeding work was selected to be one of the best interactive designs of 2019 by Fast Company.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAll Seminars Held on Wednesdays 12:15 - 1:15pm\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring | Tapomayukh \u0022Tapo\u0022 Bhattacharjee - Assistant Professor, Department of Computer Science, Cornell University "}],"uid":"27863","created_gmt":"2026-08-07 17:30:07","changed_gmt":"2026-08-07 17:33:58","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-04T12:15:00-05:00","event_time_end":"2026-11-04T13:15:00-05:00","event_time_end_last":"2026-11-04T13:15:00-05:00","gmt_time_start":"2026-11-04 17:15:00","gmt_time_end":"2026-11-04 18:15:00","gmt_time_end_last":"2026-11-04 18:15:00","rrule":null,"timezone":"America\/New_York"},"location":"CODA - Atrium (9th floor)","extras":["free_food"],"related_links":[{"url":"https:\/\/emprise.cs.cornell.edu\/","title":"PI Website"}],"groups":[{"id":"1278","name":"College of Sciences"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"188087","name":"go-irim"},{"id":"11230","name":"Human Robot Interaction"},{"id":"52491","name":"human centered computing; human robot interaction"},{"id":"654","name":"College of Computing"},{"id":"189814","name":"go-researchevents"}],"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\u003E\u003Ca href=\u0022mailto:christa.ernst@research.gatech.edu\u0022\u003Echrista.ernst@research.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"691555":{"#nid":"691555","#data":{"type":"event","title":"IRIM Fall 2026 Seminar Series V","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003ETBA\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003ENadia Figueroa is the Shalini and Rajeev Misra Presidential Assistant Professor of Mechanical Engineering and Applied Mechanics at the University of Pennsylvania, with secondary appointments in Computer and Information Science and Electrical and Systems Engineering. She is also a core faculty member of the GRASP Lab. Before joining Penn, she was a Postdoctoral Associate in the Interactive Robotics Group at the Massachusetts Institute of Technology (MIT). She earned her Ph.D. in Robotics, Control, and Intelligent Systems from the Swiss Federal Institute of Technology in Lausanne (EPFL) and previously conducted research at the Robotics and Mechatronics Institute of the German Aerospace Center (DLR) and at NYU Abu Dhabi. She holds a B.Sc. in Mechatronics Engineering from Tecnol\u00f3gico de Monterrey and an M.Sc. in Automation and Robotics from TU Dortmund. Her research focuses on developing integrated learning, control, and estimation algorithms that enable fluid human-robot training, co-existence and collaboration with formal guarantees of safety, efficiency, and robustness. Her work bridges control theory, machine learning, AI, perception, and biomechanics through the lens of physical human-robot interaction. She is a recipient of a 2025 NSF CAREER Award, a finalist for the 2020 Georges Giralt Best Ph.D. and 2017 KUKA Innovation Awards, and has received multiple best paper honors at leading robotics venues such as ICRA, RSS and T-RO.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAll Seminars Held on Wednesdays 12:15 - 1:15pm\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring | Nadia Figueroa - Shalini and Rajeev Misra Presidential Assistant Professor of Mechanical Engineering and Applied Mechanics, University of Pennsylvania"}],"uid":"27863","created_gmt":"2026-08-07 17:23:07","changed_gmt":"2026-08-07 17:25:57","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-10-21T12:15:00-04:00","event_time_end":"2026-10-21T13:15:00-04:00","event_time_end_last":"2026-10-21T13:15:00-04:00","gmt_time_start":"2026-10-21 16:15:00","gmt_time_end":"2026-10-21 17:15:00","gmt_time_end_last":"2026-10-21 17:15:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus 1116 E\u0026W","extras":["free_food"],"related_links":[{"url":"https:\/\/nbfigueroa.github.io\/","title":"PI Website"}],"groups":[{"id":"322011","name":"College of Computing Events"},{"id":"1278","name":"College of Sciences"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"188087","name":"go-irim"},{"id":"11230","name":"Human Robot Interaction"},{"id":"9167","name":"machine learning"},{"id":"189814","name":"go-researchevents"}],"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\u003Echrista.ernst@research.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"691552":{"#nid":"691552","#data":{"type":"event","title":"IRIM Fall 2026 Seminar Series IV","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E TBA\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Dr. Arash Adel is the founder and director of ARG. He is an assistant professor at the School of Architecture and an associated faculty of the Department of Computer Science at Princeton University. Prior to joining Princeton University in 2023, Adel was an assistant professor of Architecture at the University of Michigan. Adel received his Doctorate in Architecture from the Swiss Federal Institute of Technology (ETH) and his Master\u2019s in Architecture from Harvard University.\u0026nbsp;\u003Cbr\u003E\u003Cbr\u003EAdel\u2019s research interests include construction robotics, human-robot collaboration, automated building assembly, additive manufacturing, computational design, and STEM education. He is particularly known for his work with novel integrative computational design methods coupled with robotic assembly techniques for manufacturing nonstandard timber buildings and structures. His experience includes numerous widely-published projects such as the DFAB HOUSE located in Dubendorf, Switzerland, and, more recently, the Robotically Fabricated Structure (RFS) timber pavilion sited at the Matthaei Botanical Gardens in Ann Arbor, Michigan, USA.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAll Seminars Held on Wednesdays 12:15 - 1:15pm\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring | Arash Adel - Assistant Professor, School of Architecture \u0026 associated faculty, Department of Computer Science, Princeton University."}],"uid":"27863","created_gmt":"2026-08-07 17:12:15","changed_gmt":"2026-08-07 17:16:50","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-10-07T12:15:00-04:00","event_time_end":"2026-10-07T13:15:00-04:00","event_time_end_last":"2026-10-07T13:15:00-04:00","gmt_time_start":"2026-10-07 16:15:00","gmt_time_end":"2026-10-07 17:15:00","gmt_time_end_last":"2026-10-07 17:15:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus 1116 E\u0026W","extras":["free_food"],"related_links":[{"url":"https:\/\/www.adelresearchgroup.org\/about","title":"PI Website"}],"groups":[{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"188087","name":"go-irim"},{"id":"195241","name":"Architectural Robotics"},{"id":"11230","name":"Human Robot Interaction"},{"id":"186857","name":"go-gtmi"}],"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\u003Echrista.ernst@research.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"691534":{"#nid":"691534","#data":{"type":"event","title":"Machine Learning Seminar Series Fall 2026 | Session V","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E TBA\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E The Ghosh group engages in cross-disciplinary collaborations and welcomes students from diverse academic backgrounds. Most projects focus on addressing challenges in fundamental physics and astrophysics using computational and AI\/ML tools, making the group a natural fit for students with strong skills or interests in these areas. We develop methods to automate theoretical physics calculations using reinforcement learning and LLM agents, enabling rapid testing of new theories. We also work on simulation, experimental design and high-dimensional statistical inference techniques powered by AI to accelerate scientific discovery. Data analysis problems at the scale of the Large Hadron Collider or multi-messenger astronomy often demand rapid decision-making, and we design efficient AI algorithms that can be deployed on fast hardware to meet these challenges.\u003C\/p\u003E\u003Ch4\u003E\u0026nbsp;\u003C\/h4\u003E\u003Ch4\u003E\u003Cstrong\u003EFor CODA guest access, please contact \u003C\/strong\u003E\u003Ca href=\u0022mailto:shatcher8@gatech.edu\u0022\u003E\u003Cstrong\u003Eshatcher8@gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E at least 2 business days prior to the event.\u003C\/strong\u003E\u003C\/h4\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAll Seminars Held 12pm - 1pm in CODA\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring | Aishik Ghosh, Georgia Institute of Technology \u2013 School of Physics "}],"uid":"27863","created_gmt":"2026-08-07 14:20:55","changed_gmt":"2026-08-07 14:23:42","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-10-28T12:00:00-04:00","event_time_end":"2026-10-28T13:00:00-04:00","event_time_end_last":"2026-10-28T13:00:00-04:00","gmt_time_start":"2026-10-28 16:00:00","gmt_time_end":"2026-10-28 17:00:00","gmt_time_end_last":"2026-10-28 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"CODA Building 9th floor Atrium \u0026 Virtual","extras":[],"related_links":[{"url":"https:\/\/profaishikghosh.github.io\/","title":"Lab Website"}],"groups":[{"id":"322011","name":"College of Computing Events"},{"id":"1278","name":"College of Sciences"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"9167","name":"machine learning"},{"id":"187023","name":"go-data"},{"id":"654","name":"College of Computing"},{"id":"188087","name":"go-irim"}],"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\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EFor CODA guest access, please contact \u003C\/strong\u003E\u003Ca href=\u0022mailto:shatcher8@gatech.edu\u0022\u003E\u003Cstrong\u003Eshatcher8@gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E at least 2 business days prior to the event.\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"691533":{"#nid":"691533","#data":{"type":"event","title":"Machine Learning Seminar Series Fall 2026 | Session IV","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003ETBA\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E TBA\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Ch4\u003E\u003Cstrong\u003EFor CODA guest access, please contact \u003C\/strong\u003E\u003Ca href=\u0022mailto:shatcher8@gatech.edu\u0022\u003E\u003Cstrong\u003Eshatcher8@gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E at least 2 business days prior to the event.\u003C\/strong\u003E\u003C\/h4\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u0026nbsp;\u003Cstrong\u003EAll Seminars Held 12pm - 1pm in CODA\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring | TBA"}],"uid":"27863","created_gmt":"2026-08-07 14:17:23","changed_gmt":"2026-08-07 14:19:17","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-10-15T12:00:00-04:00","event_time_end":"2026-10-15T13:00:00-04:00","event_time_end_last":"2026-10-15T13:00:00-04:00","gmt_time_start":"2026-10-15 16:00:00","gmt_time_end":"2026-10-15 17:00:00","gmt_time_end_last":"2026-10-15 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"CODA Building 9th floor Atrium \u0026 Virtual","extras":[],"groups":[{"id":"322011","name":"College of Computing Events"},{"id":"1278","name":"College of Sciences"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"142761","name":"IRIM"}],"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\u003E\u003Cstrong\u003EFor CODA guest access, please contact \u003C\/strong\u003E\u003Ca href=\u0022mailto:shatcher8@gatech.edu\u0022\u003E\u003Cstrong\u003Eshatcher8@gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E at least 2 business days prior to the event.\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"691532":{"#nid":"691532","#data":{"type":"event","title":"Machine Learning Seminar Series Fall 2026 | Session III","body":[{"value":"\u003Cp\u003EAbstract:\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EDr. Navid Azizan is the Alfred H. (1929) and Jean M. Hayes Associate Professor at \u003Ca href=\u0022https:\/\/mit.edu\/about\/\u0022\u003EMIT\u003C\/a\u003E, where he holds dual appointments in the \u003Ca href=\u0022http:\/\/meche.mit.edu\/people\/faculty\/azizan@mit.edu\u0022\u003EDepartment of Mechanical Engineering\u003C\/a\u003E (in \u003Ca href=\u0022https:\/\/meche.mit.edu\/research\/controls\u0022\u003EControl, Instrumentation \u0026amp; Robotics\u003C\/a\u003E) and the \u003Ca href=\u0022https:\/\/computing.mit.edu\/faculty\/new-incoming-faculty-2020\/\u0022\u003ESchwarzman College of Computing\u003C\/a\u003E\u0027s \u003Ca href=\u0022https:\/\/idss.mit.edu\/people\/faculty\/core-faculty\u0022\u003EInstitute for Data, Systems \u0026amp; Society (IDSS)\u003C\/a\u003E and is a Principal Investigator in the \u003Ca href=\u0022https:\/\/lids.mit.edu\/people\/faculty-pi\u0022\u003ELaboratory for Information \u0026amp; Decision Systems (LIDS)\u003C\/a\u003E. He is also a core faculty member of the \u003Ca href=\u0022https:\/\/stat.mit.edu\/core\/\u0022\u003EStatistics and Data Science Center\u003C\/a\u003E and the \u003Ca href=\u0022https:\/\/cse.mit.edu\/people\/navid-azizan\/\u0022\u003ECenter for Computational Science and Engineering\u003C\/a\u003E. His research interests broadly lie in machine learning, systems and control, and mathematical optimization. His research lab focuses on various aspects of reliable AI systems, with applications to high-stakes and safety-critical settings. He obtained his PhD in \u003Ca href=\u0022https:\/\/www.cms.caltech.edu\/\u0022\u003EComputing and Mathematical Sciences (CMS)\u003C\/a\u003E from the \u003Ca href=\u0022https:\/\/en.wikipedia.org\/wiki\/California_Institute_of_Technology\u0022\u003ECalifornia Institute of Technology (Caltech)\u003C\/a\u003E in 2020, his MSc in electrical engineering from the University of Southern California in 2015, and his BSc in electrical engineering and physics from Sharif University of Technology in 2013. Prior to joining MIT, he completed a postdoc at \u003Ca href=\u0022https:\/\/www.stanford.edu\/\u0022\u003EStanford University\u003C\/a\u003E in 2021. Additionally, he was a research scientist intern at \u003Ca href=\u0022https:\/\/en.wikipedia.org\/wiki\/Google_DeepMind\u0022\u003EGoogle DeepMind\u003C\/a\u003E in 2019. He is a recipient of several awards, including the National Science Foundation CAREER Award, research awards from Amazon, Google, and MathWorks, among others, and the inaugural Information Theory and Applications (ITA) \u201cSun\u201d (Gold) Graduation Award. His work has been recognized with Best Paper awards at several venues, including the Learning for Dynamics and Control (L4DC), INFORMS JFIG, and ACM Greenmetrics. He was named in the list of Outstanding Academic Leaders in Data by the CDO Magazine for two consecutive years in 2024 and 2023. His teaching and mentorship have been recognized with the Joseph A. Martore (1975) Excellence in Teaching Award in 2026, the Frank E. Perkins Award for Excellence in Graduate Advising (MIT Institute Award) in 2025, and the UROP Outstanding Mentor Award in 2023.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Ch4\u003E\u003Cstrong\u003EFor CODA guest access, please contact \u003C\/strong\u003E\u003Ca href=\u0022mailto:shatcher8@gatech.edu\u0022\u003E\u003Cstrong\u003Eshatcher8@gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E at least 2 business days prior to the event.\u003C\/strong\u003E\u003C\/h4\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAll Seminars Held 12pm - 1pm in CODA\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring | Navid Azizan, Massachusetts Institute of Technology \u2013 Department of Mechanical Engineering and Schwarzman College of Computing\u2019s Institute for Data, Systems \u0026 Society"}],"uid":"27863","created_gmt":"2026-08-07 14:12:11","changed_gmt":"2026-08-07 14:16:07","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-09-30T12:00:00-04:00","event_time_end":"2026-09-30T13:00:00-04:00","event_time_end_last":"2026-09-30T13:00:00-04:00","gmt_time_start":"2026-09-30 16:00:00","gmt_time_end":"2026-09-30 17:00:00","gmt_time_end_last":"2026-09-30 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"CODA Building 9th floor Atrium \u0026 Virtual","extras":[],"related_links":[{"url":"https:\/\/meche.mit.edu\/people\/faculty\/azizan@mit.edu","title":"MIT Webpage"}],"groups":[{"id":"322011","name":"College of Computing Events"},{"id":"1278","name":"College of Sciences"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"9167","name":"machine learning"},{"id":"187023","name":"go-data"},{"id":"188087","name":"go-irim"},{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"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\u003E\u003Cstrong\u003EFor CODA guest access, please contact \u003C\/strong\u003E\u003Ca href=\u0022mailto:shatcher8@gatech.edu\u0022\u003E\u003Cstrong\u003Eshatcher8@gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E at least 2 business days prior to the event.\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}