{"691532":{"#nid":"691532","#data":{"type":"event","title":"Machine Learning Seminar Series Fall 2026 | Machine Learning with Hard Constraints","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EHow can we harness the expressive power of modern machine learning while ensuring that its outputs respect non-negotiable physical, safety, and operational constraints? Penalizing violations during training encourages compliance but does not guarantee it at deployment. In this talk, I will present a principled approach to incorporating hard constraints into both learning architectures and generative sampling. I will begin with hard-constrained neural networks (HardNets), which satisfy input-dependent constraints by construction while retaining universal approximation of feasible functions. I will then show how these ideas enable various applications, from learned models of chaotic dynamics with provably bounded trajectories through energy-constrained operator learning to scalable safe reinforcement learning and learning-based control with formal guarantees. Finally, I will turn to generative models, namely flow-matching and diffusion models, with hard inference-time constraints. By recasting constrained generation as a trajectory optimization problem, we can use receding-horizon control to steer pretrained models toward feasible outputs without unnecessarily restricting their sampling dynamics or requiring retraining. Applications spanning fluid dynamics, robotic control and planning, PDE control, and language-guided image editing illustrate a unifying principle: hard constraints should define what a model is allowed to do without unnecessarily limiting what it can learn or generate.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003ENavid Azizan is the Alfred H. (1929) and Jean M. Hayes Associate Professor at MIT, where he holds dual appointments in the Department of Mechanical Engineering (in Control, Instrumentation \u0026amp; Robotics) and the Schwarzman College of Computing\u0027s Institute for Data, Systems \u0026amp; Society (IDSS), and is a Principal Investigator in the Laboratory for Information \u0026amp; Decision Systems (LIDS). 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 Computing and Mathematical Sciences (CMS) from the California Institute of Technology (Caltech) 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 Stanford University in 2021. Additionally, he was a research scientist intern at Google DeepMind 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 Learning for Dynamics and Control (L4DC), the INFORMS Junior Faculty Paper Competition, 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, the Frank E. Perkins Award for Excellence in Graduate Advising (MIT Institute Award), and the UROP Outstanding Mentor Award.\u003C\/p\u003E\u003Cp\u003EWhile we prefer you join in person, if you are unable to attend, join online at \u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fgatech.zoom.us%2Fj%2F91508317626%3Fpwd%3DWrbKsZaW2tcby2uQdVcAjsYaX0FL8l.1\u0026amp;data=05%7C02%7Cchrista.ernst%40research.gatech.edu%7C629739afa1ee4ffabde608df19646000%7C482198bbae7b4b258b7a6d7f32faa083%7C1%7C0%7C639257591021155940%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C\u0026amp;sdata=KUKCk9bETO%2B4BvOaOeRKxXeuUfplNbs4veqLfh0zc2U%3D\u0026amp;reserved=0\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022Original URL: https:\/\/gatech.zoom.us\/j\/91508317626?pwd=WrbKsZaW2tcby2uQdVcAjsYaX0FL8l.1. Click or tap if you trust this link.\u0022\u003Ehttps:\/\/gatech.zoom.us\/j\/91508317626?pwd=WrbKsZaW2tcby2uQdVcAjsYaX0FL8l.1\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003EMeeting ID: 915 0831 7626\u003Cbr\u003EPasscode: 647326\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":"2026-09-23 12:46:03","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":""}},"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":""}}}