{"693127":{"#nid":"693127","#data":{"type":"event","title":"ISyE Student Seminar Series - Reinaldo Mock","body":[{"value":"\u003Ch2\u003EOn Learning from Chemical Spectra as Sets of Localized Events\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThis talk presents ongoing work on a representation-learning framework for chemical spectra that models spectra as localized structure rather than conventional representations. The work investigates whether incorporating additional information about spectral morphology can improve reconstruction, interpretability, and downstream learning while preserving physically meaningful structure.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Reinaldo Mock is a 3rd-year ML Ph.D. student at Georgia Tech. His background is in biomedical engineering and mathematics. His research focuses on developing interpretable, field-ready ML methods for scientific sensing and decision-making. He is advised by Professor Jing Li and GTRI researchers Roman Aranda and Eric Pooser. His current interests include physics-informed machine learning, representation learning, and uncertainty quantification.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EOn Learning from Chemical Spectra as Sets of Localized Events\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":" On Learning from Chemical Spectra as Sets of Localized Events "}],"uid":"27764","created_gmt":"2026-10-07 14:14:31","changed_gmt":"2026-10-09 22:10:25","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-10-07T16:00:00-04:00","event_time_end":"2026-10-07T17:00:00-04:00","event_time_end_last":"2026-10-07T17:00:00-04:00","gmt_time_start":"2026-10-07 20:00:00","gmt_time_end":"2026-10-07 21:00:00","gmt_time_end_last":"2026-10-07 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 1102","extras":[],"hg_media":{"681373":{"id":"681373","type":"image","title":"ISyE PhD Student Seminar","body":null,"created":"1791382522","gmt_created":"2026-10-07 14:15:22","changed":"1791382522","gmt_changed":"2026-10-07 14:15:22","alt":"ISyE PhD Student Seminar","file":{"fid":"265754","name":"f95aca51-5c74-47ca-82df-ecf2d5311620.png","image_path":"\/sites\/default\/files\/2026\/10\/07\/f95aca51-5c74-47ca-82df-ecf2d5311620.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/10\/07\/f95aca51-5c74-47ca-82df-ecf2d5311620.png","mime":"image\/png","size":1768462,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/10\/07\/f95aca51-5c74-47ca-82df-ecf2d5311620.png?itok=LS3G3pak"}}},"media_ids":["681373"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"693186":{"#nid":"693186","#data":{"type":"event","title":"ISyE Student Seminar Series - Jacob Aguirre","body":[{"value":"\u003Ch2\u003EEntropy-Smooth Convex Optimization Cannot Be Accelerated\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EWe prove an Q(L\/T) lower bound for first-order optimization of convex functions smooth relative to negative entropy on the simplex, showing mirror descent is nearly optimal and acceleration is generally impossible.\u003Cbr\u003EUnlike prior results, our prox-function is standard rather than pathological.\u003Cbr\u003EWe extend the same non-acceleration result to quantum optimization over spectrahedra.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EEntropy-Smooth Convex Optimization Cannot Be Accelerated\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Entropy-Smooth Convex Optimization Cannot Be Accelerated"}],"uid":"27764","created_gmt":"2026-10-09 22:05:02","changed_gmt":"2026-10-09 22:07:12","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-10-14T16:00:00-04:00","event_time_end":"2026-10-14T17:00:00-04:00","event_time_end_last":"2026-10-14T17:00:00-04:00","gmt_time_start":"2026-10-14 20:00:00","gmt_time_end":"2026-10-14 21:00:00","gmt_time_end_last":"2026-10-14 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"GeorgeTower 1102\u200b","extras":[],"hg_media":{"681401":{"id":"681401","type":"image","title":"Jacob Aguirre","body":null,"created":"1791583587","gmt_created":"2026-10-09 22:06:27","changed":"1791583587","gmt_changed":"2026-10-09 22:06:27","alt":"Jacob Aguirre","file":{"fid":"265785","name":"aguirre-14238.png","image_path":"\/sites\/default\/files\/2026\/10\/09\/aguirre-14238.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/10\/09\/aguirre-14238.png","mime":"image\/png","size":380964,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/10\/09\/aguirre-14238.png?itok=dJrf2qBX"}}},"media_ids":["681401"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"194945","name":"Alumni"},{"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":""}},"693139":{"#nid":"693139","#data":{"type":"event","title":"ISyE Seminar - Hong Wang (University of Manchester, UK)","body":[{"value":"\u003Ch2\u003EDecision Making Under Uncertainties: A Generic Framework Using Probability Density Function Control and Brain Computer Interface\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EAbstract: Decision-making under uncertainties has been a subject of study for many years. In particular, the decision making (optimization) for complex systems such as engineering and economic systems involves human-decision phase. This triggers the occurrences of uncertainties in the decision making phase in addition to the widely-existed inherent uncertainties in the actual systems. In this talk, such challenges will be addressed by summarizing the year\u2019s efforts of the presenter when he was with the University of Manchester before 2016. At first, a generic framework on the decision making for uncertainty systems has been formulated into a \u201cclosed loop control design problem\u201d, where the uncertainties in both decision making phase and the actual systems have been represented by the uncertainty injections to the \u201ccontroller\u201d and to the \u201cplant to be controlled\u201d. The uncertainties in human decision making phase is characterized by their probability density functions (PDF) of the brain-cell\u2019s signal collected via brain-computer-interface (BCI). Using such a generic framework, decision making under uncertainties are formulated as a PDF control problem of objective functions and constraints- leading to a total solution for the stochastic optimization for complex systems. Two case studies will be presented together with the rationale and claims that most of the existing stochastic optimizations are special cases of the presented theory. Note that the presentation is based upon the published materials by the author.\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EProfessor Hong Wang (Member of European Academy of Sciences and Arts, FIEEE, FIET, FInstMC, SMIEEE) received the BSc form Anhui University of Science and Technology in 1982, the master\u2019s and Ph.D. degrees from the Huazhong University of Science and Technology, Wuhan, China, in 1984 and 1987, respectively. He was a Research Fellow with Salford University, Salford, U.K., Brunel University, Uxbridge, U.K., and Southampton University, Southampton, U.K., before joining the University of Manchester Institute of Science and Technology (UMIST), Manchester, U.K., in 1992. He was a Chair Professor in process control of complex industrial systems with the University of Manchester (UoM), U.K., from 2002 to 2016, where he originated probability density function control theory in 1996 and was the Deputy Head of the Paper Science Department, the Director of the UMIST Control Systems Centre from 2004 to 2007, which is the birthplace of Modern Control Theory established in 1966. He was a University Senate member and a member of general assembly during his time in Manchester. Whilst he has been an Emeritus Professor of UoM, from 2016 to 2018, he was with the Pacific Northwest National Laboratory (PNNL), Richland, WA, USA, as a Laboratory Fellow and Chief Scientist,\u003Cbr\u003Eand was the Co-Leader and the Chief Scientist for the Control of Complex Systems Initiative. He joined the Oak Ridge National Laboratory in January 2019.\u003Cbr\u003E\u003Cbr\u003EHis research focuses on stochastic distribution control, fault diagnosis and tolerant control, and intelligent controls with applications to complex system area. He has published 6 books and 200+ journal papers in these areas together with 10+ awards\/prizes at international conferences.\u003Cbr\u003E\u003Cbr\u003EHe is an associate editor for IEEE Transactions on Neural Networks and Learning Systems and was an Associate Editor of IEEE Transactions on Automatic Control (2002 \u2013 2004), IEEE Transactions on Control Systems Technology (2013 \u2013 2018), and the IEEE Transactions on Automation Science and Engineering. He is also a member for three IFAC Committees for the three areas of his research.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EDecision Making Under Uncertainties: A Generic Framework Using Probability Density Function Control and Brain Computer Interface\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":" Decision Making Under Uncertainties: A Generic Framework Using Probability Density Function Control and Brain Computer Interface "}],"uid":"27764","created_gmt":"2026-10-07 20:07:31","changed_gmt":"2026-10-07 20:09:27","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-06T11:00:00-05:00","event_time_end":"2026-11-06T12:00:00-05:00","event_time_end_last":"2026-11-06T12:00:00-05:00","gmt_time_start":"2026-11-06 16:00:00","gmt_time_end":"2026-11-06 17:00:00","gmt_time_end_last":"2026-11-06 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 1502","extras":[],"hg_media":{"681379":{"id":"681379","type":"image","title":"Hong Wang","body":null,"created":"1791403711","gmt_created":"2026-10-07 20:08:31","changed":"1791403711","gmt_changed":"2026-10-07 20:08:31","alt":"Hong Wang","file":{"fid":"265760","name":"wang-14207.jpg","image_path":"\/sites\/default\/files\/2026\/10\/07\/wang-14207.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/10\/07\/wang-14207.jpg","mime":"image\/jpeg","size":19607,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/10\/07\/wang-14207.jpg?itok=XKT-E44O"}}},"media_ids":["681379"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"693095":{"#nid":"693095","#data":{"type":"event","title":"ISyE Seminar - Zhaosong Lu (University of Minnesota)","body":[{"value":"\u003Ch2\u003EFirst-order Methods for Nonconvex\u2013Nonconcave Minimax Optimization\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EWe study a class of nonconvex\u2013nonconcave minimax problems in which the inner maximization problem satisfies a local Kurdyka\u2013\u0141ojasiewicz (KL) condition that may vary with the outer minimization variable. In contrast to the global KL or PL conditions commonly assumed in the literature\u2014which are significantly stronger and often too restrictive in practice\u2014this local KL condition accommodates a broader range of practical scenarios. However, it also introduces new analytical challenges. In particular, as an optimization algorithm approaches a stationary point, the region over which the KL condition holds may shrink, leading to a more intricate and potentially ill-conditioned landscape. To address this challenge, we show that the associated maximal function is locally generalized H\u00f6lder smooth. Leveraging this key property, we develop an inexact proximal gradient method for solving the minimax problem, where the inexact gradient of the maximal function is computed by applying a proximal gradient or sequential convex programming method to a KL-structured subproblem. Under mild assumptions, we establish complexity guarantees for computing an approximate stationary point of the minimax problem.\u003Cbr\u003E\u003Cbr\u003EThis is joint work with Xiangyuan Wang (University of Minnesota).\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EZhaosong Lu is a Full Professor in the Department of Industrial and Systems Engineering at the University of Minnesota. He received his Ph.D. in Operations Research from Georgia Tech. His research focuses on the theory and algorithms of continuous optimization, with applications in data science and machine learning. Dr. Lu has published extensively in leading journals, and his research has been supported by major funding agencies, including AFOSR, NSF, and ONR. He has served on several prize committees, such as the INFORMS George Nicholson Prize Committee and the ICCOPT Best Paper Award Committee. He has also served as an Associate Editor for leading journals, including Mathematics of Operations Research, SIAM Journal on Optimization, Computational Optimization and Applications, and Journal of Global Optimization.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EFirst-order Methods for Nonconvex\u2013Nonconcave Minimax Optimization\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":" First-order Methods for Nonconvex\u2013Nonconcave Minimax Optimization "}],"uid":"27764","created_gmt":"2026-10-06 15:08:50","changed_gmt":"2026-10-07 19:59:13","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-13T11:00:00-05:00","event_time_end":"2026-11-13T12:00:00-05:00","event_time_end_last":"2026-11-13T12:00:00-05:00","gmt_time_start":"2026-11-13 16:00:00","gmt_time_end":"2026-11-13 17:00:00","gmt_time_end_last":"2026-11-13 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 1502","extras":[],"hg_media":{"681365":{"id":"681365","type":"image","title":"Zhaosong Lu","body":null,"created":"1791299383","gmt_created":"2026-10-06 15:09:43","changed":"1791299383","gmt_changed":"2026-10-06 15:09:43","alt":"Zhaosong Lu","file":{"fid":"265745","name":"lu-.jpg","image_path":"\/sites\/default\/files\/2026\/10\/06\/lu-.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/10\/06\/lu-.jpg","mime":"image\/jpeg","size":58382,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/10\/06\/lu-.jpg?itok=egqSg-4z"}}},"media_ids":["681365"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"693007":{"#nid":"693007","#data":{"type":"event","title":"ISyE Quantum Seminar Series - Yao Wang (Emory University)","body":[{"value":"\u003Ch2\u003EEntanglement and Quantum Metrology in Quantum Materials\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EQuantum systems introduce fundamentally new principles for computing, sensing, and applications in materials and chemistry. A defining distinction between quantum systems and their classical counterparts is the presence of entanglement, particularly multipartite entanglement involving many particles. The rapidly developing field of quantum materials therefore calls for increasingly precise metrological approaches to characterize and ultimately control such entanglement. While foundational advances, including Bell tests and many-body interferometry, were first established in quantum optics and few-body quantum simulators, extending these concepts to complex many-body states at the scale of materials remains a major challenge.\u003Cbr\u003EIn this talk, I will introduce the entanglement-witness framework as a practical route for characterizing entanglement through experimentally accessible macroscopic observables in solid-state materials. This framework generalizes the underlying logic of Bell tests to macroscopic many-body systems. Recent advances include the detection of spin entanglement in quantum magnets using neutron scattering and spin-orbital entanglement using resonant inelastic X-ray scattering. I will then move beyond distinguishable local degrees of freedom and consider entanglement among indistinguishable fermions. This motivates a more general framework for multipartite electronic entanglement based on the cumulant reduced density matrix and nonlinear spectroscopic responses.\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EYao Wang is an Associate Professor at Emory University. He received his bachelor\u0027s degree from the University of Science and Technology of China in 2011 and his Ph.D. from Stanford University in 2017. He then worked at Harvard University as an MPHQ Postdoctoral Fellow. In 2020, he began his independent career as an Assistant Professor at Clemson University, where he later became a College of Science Dean\u0027s Assistant Professor. He moved his group to Emory University in August 2023 and received tenure in 2026. His research focuses on the theoretical and computational study of quantum many-body problems and their experimental connections in solid-state materials and quantum science. He is a recipient of the DOE Early Career Award, the AFOSR Young Investigator Award, and a Scialog Fellowship.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EEntanglement and Quantum Metrology in Quantum Materials\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":" Entanglement and Quantum Metrology in Quantum Materials "}],"uid":"27764","created_gmt":"2026-10-02 14:25:12","changed_gmt":"2026-10-02 14:27:08","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-09-28T15:30:00-04:00","event_time_end":"2026-09-28T16:30:00-04:00","event_time_end_last":"2026-09-28T16:30:00-04:00","gmt_time_start":"2026-09-28 19:30:00","gmt_time_end":"2026-09-28 20:30:00","gmt_time_end_last":"2026-09-28 20:30:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 1502","extras":[],"hg_media":{"681335":{"id":"681335","type":"image","title":"Yao Wang","body":null,"created":"1790951187","gmt_created":"2026-10-02 14:26:27","changed":"1790951187","gmt_changed":"2026-10-02 14:26:27","alt":"Yao Wang","file":{"fid":"265711","name":"wang-14134.jpg","image_path":"\/sites\/default\/files\/2026\/10\/02\/wang-14134.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/10\/02\/wang-14134.jpg","mime":"image\/jpeg","size":20656,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/10\/02\/wang-14134.jpg?itok=u-REw24o"}}},"media_ids":["681335"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"692148":{"#nid":"692148","#data":{"type":"event","title":"ISyE Seminar - Eugene Feinberg (Stony Brook University)","body":[{"value":"\u003Ch2\u003EInfinite-State Partially Observable Markov Decision Processes with Applications to Inventory Control\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThis talk describes the progress in analysis and optimization of Markov Decision Processes (MDPs) and Partially Observable MDPs (POMDPs) with infinite state spaces and possibly noncompact action sets. We shall also discuss applications to inventory control and to controlled linear Gaussian systems.\u0026nbsp;\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EEugene A. Feinberg received MS in Applied Mathematics and Computer Engineering from Moscow University of Transportation, Russia, in 1976 and Ph.D. in Probability and Statistics from Vilnius University, Lithuania, in 1979. Currently he is Distinguished Professor at the Department of Applied Mathematics and Statistics of Stony Brook University.\u003Cbr\u003E\u003Cbr\u003EHis research interests include stochastic models of operations research, probability theory, real analysis, Markov Decision Processes, and applications of operations research and statistics to engineering, biology, and medicine. He has published more than 100 papers and edited the Handbook on Markov Decision Processes. His research has been partially supported by the National Science Foundation, Office of Naval Research, National Institute of Health, New York Office of Science, Technology and Academic Research, and private industry. He has served as a Council Member of the INFORMS Applied Probability Society and on several editorial boards. He is a fellow of INFORMS.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EInfinite-State Partially Observable Markov Decision Processes with Applications to Inventory Control\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Infinite-State Partially Observable Markov Decision Processes with Applications to Inventory Control"}],"uid":"36870","created_gmt":"2026-09-01 13:17:13","changed_gmt":"2026-10-01 17:04:54","author":"bjones434","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-10-16T11:00:00-04:00","event_time_end":"2026-10-16T12:00:00-04:00","event_time_end_last":"2026-10-16T12:00:00-04:00","gmt_time_start":"2026-10-16 15:00:00","gmt_time_end":"2026-10-16 16:00:00","gmt_time_end_last":"2026-10-16 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 1502","extras":[],"hg_media":{"681137":{"id":"681137","type":"image","title":"Eugene Feinberg","body":"\u003Cp\u003EEugene Feinberg\u003C\/p\u003E","created":"1789079191","gmt_created":"2026-09-10 22:26:31","changed":"1789079191","gmt_changed":"2026-09-10 22:26:31","alt":"Eugene Feinberg","file":{"fid":"265497","name":"Eugene-Feinberg.jpg","image_path":"\/sites\/default\/files\/2026\/09\/10\/Eugene-Feinberg.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/09\/10\/Eugene-Feinberg.jpg","mime":"image\/jpeg","size":297630,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/09\/10\/Eugene-Feinberg.jpg?itok=JUB0cw_a"}}},"media_ids":["681137"],"groups":[{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"692968":{"#nid":"692968","#data":{"type":"event","title":"SCL Course: Essentials of Negotiations and Stakeholder Influence (Virtual\/Instructor-led)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EEssentials of Negotiations and Stakeholder Influence level-sets the participants\u0027 understanding of negotiation influence and strengthens preparation, planning and execution activities involved with both simple and complex negotiations. The program includes industry techniques and tools for traditional supplier negotiations, as well as tips for internal cross-functional leadership. Participants walk away with a standard industry and customized individual experience which includes their personal Negotiation Style \u201cDNA\u201d to help them embrace their own natural tendencies and strengths. The program includes mock negotiations to reinforce techniques and tactics immediately in a \u201cno judgement zone\u201d environment.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is ideal for sourcing initiative leaders, project leaders, business unit leaders, operations managers, sales leaders and procurement \u0026amp; supply management-related professionals who are involved with supplier selection, contract development and supplier performance management.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli data-list-item-id=\u0022efd73c981951fd6bb6cb8437ed61c3b94\u0022\u003EIncrease emphasis negotiation conditioning and philosophy setting before and throughout the entire sourcing engagement process\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e7fd1536d0c14d224ab5b8718629d7039\u0022\u003EEnhance your toolbox of industry standard negotiation prep tools like the SWOT and BATNA\u003C\/li\u003E\u003Cli data-list-item-id=\u0022ef531d6fb47015874b41dd9c4ba6a9e3f\u0022\u003EBetter prepare for negotiations by leveraging knowledge of key negotiation terms and counter-offer tactics\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e5091d0b3b8bac7474648fc83efaaceb3\u0022\u003EImprove negotiation table techniques and soft skills to direct and redirect negotiation momentum\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e3d89eb4fdae56c74c30aa234fb6e9815\u0022\u003EHeighten ability to successfully utilize your traditional \u0022comfort zone\u0022 approach in combination with your negotiation team\u2019s strengths by leveraging Personal Negotiation Styles\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat Is Covered\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli data-list-item-id=\u0022e908545acbe57d01efa693ad71a3cec5d\u0022\u003ENegotiation Conditioning Overview\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e999402bc8191a107b7241aa130c7af9a\u0022\u003ENegotiation Preparation Tools\u003C\/li\u003E\u003Cli data-list-item-id=\u0022ea0b5fe51c78def7b63752980f211ceda\u0022\u003ENegotiation Execution Techniques\u003C\/li\u003E\u003Cli data-list-item-id=\u0022eeeb68c5d4fc4c6355cc7e89f3b444783\u0022\u003EStakeholder Engagement \u0026amp; Team Leadership\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e3f7e0c364262cf91f5f0aed8b3859fe5\u0022\u003ELive Negotiations Simulation \u0026amp; Feedback\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis course\u0026nbsp;level-sets the participants\u0027 understanding of negotiation influence and strengthens preparation, planning and execution activities involved with both simple and complex negotiations. The program includes industry techniques and tools for traditional supplier negotiations, as well as tips for internal cross-functional leadership. Participants walk away with a standard industry and customized individual experience which includes their personal Negotiation Style \u201cDNA\u201d to help them embrace their own natural tendencies and strengths. The program includes mock negotiations to reinforce techniques and tactics immediately in a \u201cno judgement zone\u201d environment.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Level-sets the participants\u0027 understanding of negotiation influence and strengthens preparation, planning and execution activities involved with both simple and complex negotiations."}],"uid":"27233","created_gmt":"2026-10-01 16:52:38","changed_gmt":"2026-10-01 16:54:48","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2027-03-15T13:00:00-04:00","event_time_end":"2027-03-18T17:00:00-04:00","event_time_end_last":"2027-03-18T17:00:00-04:00","gmt_time_start":"2027-03-15 17:00:00","gmt_time_end":"2027-03-18 21:00:00","gmt_time_end_last":"2027-03-18 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Virtual\/Instructor-led","extras":[],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/ensi","title":"Course webpage within the SCL website"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"110501","name":"purchasing"},{"id":"167074","name":"Supply Chain"},{"id":"170001","name":"Supply Chain Engineering"},{"id":"122741","name":"physical internet"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:info@scl.gatech.edu\u0022\u003Einfo@scl.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"692966":{"#nid":"692966","#data":{"type":"event","title":"SCL Course: Contracting and Legal Oversight (Virtual\/Instructor-led)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EContracting and Legal Oversight provides participants with a holistic and integrated understanding of contract law, contract types, key industry standard contract terms, and contract structure to improve their confidence when creating or modifying contract documents. The program is geared to reinforce standards of excellence for professionals who are responsible for delivering contractual agreements and mitigating financial risk for their organization.\u003C\/p\u003E\u003Cp\u003EThe online version of the course is comprised of (3) instructor-led LIVE group webinars, homework, and pre-work (e.g. installing and testing software on your computer, testing connectivity with Canvas LMS and BlueJeans meeting software, etc.) to be completed before the first day of the course.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is ideal for contract managers, procurement professionals, sourcing initiative leaders, project managers and all procurement \u0026amp; supply management-related professionals involved with bid contract development, contract execution or supplier performance management.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli data-list-item-id=\u0022e34fec232062a18f9712fb8eacf19a162\u0022\u003EIncrease knowledge base in law of agency concepts to gain more confidence with contracting.\u003C\/li\u003E\u003Cli data-list-item-id=\u0022ec15cb0f80d8bec0d1b84363aab7d6bc1\u0022\u003EEnhance understanding of industry standard contract types and contract terms for more robust contract agreements.\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e15913b5df01aa7668ee6dba3ea60a969\u0022\u003EBetter leverage sourcing category knowledge to modify existing contract elements for more holistic contract agreements.\u003C\/li\u003E\u003Cli data-list-item-id=\u0022ef04b1a3855cc121f08986ba1cdf56592\u0022\u003EImprove internal contract execution communication for better results.\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e5d72080b7605a8ebd925c9f4c05bed86\u0022\u003EHeighten sense of executive financial impact and risk needs to gain leadership early support.\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat Is Covered\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli data-list-item-id=\u0022e28a7554b87f043815f0cb9371826a29c\u0022\u003ELaw of Agency Overview\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e030290182cbd3e2184034160c4934ce5\u0022\u003EContract Agreement Types\u003C\/li\u003E\u003Cli data-list-item-id=\u0022ec9c2ef5cb4bf0fbf200473a8e91e9a19\u0022\u003EDefining Key Terms\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e7829e64fd2be8fb4fe5f8f4bd9ee17ef\u0022\u003EContract Structure \u0026amp; Drafting\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e3319574de9051fcf42a311ec9a0e3316\u0022\u003ERisk Mitigation \u0026amp; Communication\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis course\u0026nbsp;provides participants with a holistic and integrated understanding of contract law, contract types, key industry standard contract terms, and contract structure to improve their confidence when creating or modifying contract documents. The program is geared to reinforce standards of excellence for professionals who are responsible for delivering contractual agreements and mitigating financial risk for their organization.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"This course provides participants with a holistic and integrated understanding of contract law, contract types, key industry standard contract terms, and contract structure to improve their confidence when creating or modifying contract documents."}],"uid":"27233","created_gmt":"2026-10-01 16:48:29","changed_gmt":"2026-10-01 16:51:41","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2027-03-08T12:00:00-05:00","event_time_end":"2027-03-09T17:00:00-05:00","event_time_end_last":"2027-03-09T17:00:00-05:00","gmt_time_start":"2027-03-08 17:00:00","gmt_time_end":"2027-03-09 22:00:00","gmt_time_end_last":"2027-03-09 22:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Virtual\/Instructor-led","extras":[],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/clo","title":"Course webpage within the SCL website"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"110501","name":"purchasing"},{"id":"167074","name":"Supply Chain"},{"id":"170001","name":"Supply Chain Engineering"},{"id":"122741","name":"physical internet"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"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:info@scl.gatech.edu\u0022\u003Einfo@scl.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"692965":{"#nid":"692965","#data":{"type":"event","title":"SCL Course: Category Management and Sourcing Leadership (Virtual\/Instructor-led)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003ECategory Management and Sourcing Leadership is designed to deepen participants\u0027 knowledge base of core activities in the procurement \u0026amp; supply management function. The program covers the sourcing process, specifications gathering, common bid package alternatives, cross-functional collaboration and supplier evaluation \u0026amp; selection. Participants will walk away ready to develop bid packages more thoroughly to help drive sourcing decisions for their organizations. This \u0022hands on\u0022 delivery focuses on the professional serving as the main liaison between the buying organization and the selling organization in the company sourcing process.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is ideal for sourcing initiative leaders, procurement professionals, project managers, finance analyst, contract managers and all procurement \u0026amp; supply management-related professionals involved with bid package development, bid package analysis, negotiations preparation, contracting and supplier selection activity.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli data-list-item-id=\u0022e835da5eb41572a8773642ea995d55853\u0022\u003EIncrease knowledge base of solicitation options (i.e. RFI, RFP, RFQ) and which solicitation approach to apply based on your organization\u0027s needs\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e6ab09b4465e1a799ddf926f8e9c0774f\u0022\u003EEnhance understanding of sourcing process and critical steps in the Bid Package development and delivery activities\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e7892539d34158e257320fcfc59783622\u0022\u003EBetter leverage and utilization of solicitation tools to drive successful development of bid packages\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e7cbb4e006df7bb737950d1863246d253\u0022\u003EImprove set up and execution of supplier selection scorecards to aid in identifying best Total Cost of Ownership alternatives\u003C\/li\u003E\u003Cli data-list-item-id=\u0022eca4eb3a067369632686d52dd7da68e20\u0022\u003EHeighten understanding of executive communication to leverage leadership support throughout the organization\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat Is Covered\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli data-list-item-id=\u0022ed84e30cebf399bf0e999ff4f2c183e17\u0022\u003EBid Package Development Overview\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e1ad91eaf18e97b8d7dbbb160b9a7d448\u0022\u003ESourcing Initiative Process Roadmap\u003C\/li\u003E\u003Cli data-list-item-id=\u0022efda95dc2c7fd5791505587fee39648eb\u0022\u003EMarketplace Analysis Tools\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e7f52dbe4087116b02e2f9d657de4166c\u0022\u003EBid Package Alternatives \u0026amp; Design\u003C\/li\u003E\u003Cli data-list-item-id=\u0022ebe038c5f3b4829d507d461610ae80a1b\u0022\u003ESupplier Selection \u0026amp; Communication\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis course\u0026nbsp;is designed to deepen participants\u0027 knowledge base of core activities in the procurement \u0026amp; supply management function. The program covers the sourcing process, specifications gathering, common bid package alternatives, cross-functional collaboration and supplier evaluation \u0026amp; selection. Participants will walk away ready to develop bid packages more thoroughly to help drive sourcing decisions for their organizations. This \u0022hands on\u0022 delivery focuses on the professional serving as the main liaison between the buying organization and the selling organization in the company sourcing process.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"This course is designed to deepen participants\u0027 knowledge base of core activities in the procurement \u0026 supply management function."}],"uid":"27233","created_gmt":"2026-10-01 16:46:00","changed_gmt":"2026-10-01 16:47:11","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2027-03-01T12:00:00-05:00","event_time_end":"2027-03-02T17:00:00-05:00","event_time_end_last":"2027-03-02T17:00:00-05:00","gmt_time_start":"2027-03-01 17:00:00","gmt_time_end":"2027-03-02 22:00:00","gmt_time_end_last":"2027-03-02 22:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Virtual\/Instructor-led","extras":[],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education\/course\/cmsl","title":"Course webpage within the SCL website"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"170001","name":"Supply Chain Engineering"},{"id":"167074","name":"Supply Chain"},{"id":"110501","name":"purchasing"},{"id":"122741","name":"physical internet"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003Einfo@scl.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"692804":{"#nid":"692804","#data":{"type":"event","title":"ISyE Student Seminar Series - Paul Horton","body":[{"value":"\u003Ch2\u003EAgentic Frameworks \u200bfor Information Retrieval\u200b\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThis talk explores how AI agents can support information retrieval by identifying the files, tables, and other data needed to answer scientific questions within large, multimodal repositories. It also connects retrieval to downstream applications such as data science workflows, biomarker discovery, disease prediction, and clinical trial patient matching.\u200b\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EAgentic Frameworks \u200bfor Information Retrieval\u200b\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Agentic Frameworks \u200bfor Information Retrieval\u200b "}],"uid":"27764","created_gmt":"2026-09-24 13:24:43","changed_gmt":"2026-09-24 13:27:39","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-09-30T16:00:00-04:00","event_time_end":"2026-09-30T17:00:00-04:00","event_time_end_last":"2026-09-30T17:00:00-04:00","gmt_time_start":"2026-09-30 20:00:00","gmt_time_end":"2026-09-30 21:00:00","gmt_time_end_last":"2026-09-30 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"GeorgeTower 1102\u200b","extras":[],"hg_media":{"681242":{"id":"681242","type":"image","title":"Paul Horton","body":"\u003Cp\u003EPaul Horton\u003C\/p\u003E","created":"1790256417","gmt_created":"2026-09-24 13:26:57","changed":"1790256417","gmt_changed":"2026-09-24 13:26:57","alt":"Paul Horton","file":{"fid":"265610","name":"horton-13942.jpg","image_path":"\/sites\/default\/files\/2026\/09\/24\/horton-13942.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/09\/24\/horton-13942.jpg","mime":"image\/jpeg","size":265805,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/09\/24\/horton-13942.jpg?itok=gATpncv2"}}},"media_ids":["681242"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"692192":{"#nid":"692192","#data":{"type":"event","title":"ISyE Seminar - Omar El Housni (Cornell Tech)","body":[{"value":"\u003Ch2\u003ETwo-sided Assortment Optimization\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003ETwo-sided matching platforms, including labor markets, dating apps, accommodation services, and ridesharing systems, must make matching decisions in the presence of choice congestion and strategic platform design challenges. When agents have correlated preferences, popular options can attract too much demand, reduce overall efficiency, and lead to poor market outcomes. In this\u0026nbsp;talk, I will present a framework for two-sided assortment optimization that studies how a platform should decide which options to display to agents and in what order, with the goal of improving matching performance. The main focus will be on maximizing the expected number of matches under general choice models. I will describe several natural classes of platform policies, ranging from static simultaneous displays to fully adaptive sequential policies, and compare their power through adaptivity gap results. I will also discuss polynomial-time approximation algorithms for computing near-optimal policies, and then briefly discuss the revenue-maximization version of the problem, where matches generate pair-dependent rewards. This\u0026nbsp;talk\u0026nbsp;is based on joint works with Alfredo Torrico, Ulysse Hennebelle, and Mohammadreza Ahmadnejadsaein.\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EOmar El Housni is an Assistant Professor in the School of Operations Research and Information Engineering at Cornell Tech and Cornell University. He is a Field Member of the Center of Applied Mathematics at Cornell. He is also an Amazon Scholar. His research focuses on decision-making under uncertainty where he aims to develop optimization models and design robust and efficient algorithms to address a wide range of operational problems, including revenue management problems such as assortment optimization and online matchings. Omar has spent time as a research scientist at Amazon and Uber where he contributed to the design and implementation of data-driven optimization models for matching and retailing platforms. Omar holds a PhD in Operations Research from Columbia University and an MS and BS in Applied Mathematics from Ecole Polytechnique (Paris). His work has been recognized by INFORMS George Nicholson award and his current research is supported by NSF.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ETwo-sided Assortment Optimization\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Two-sided Assortment Optimization "}],"uid":"36870","created_gmt":"2026-09-02 13:00:42","changed_gmt":"2026-09-21 17:45:16","author":"bjones434","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-10-02T11:00:00-04:00","event_time_end":"2026-10-02T12:00:00-04:00","event_time_end_last":"2026-10-02T12:00:00-04:00","gmt_time_start":"2026-10-02 15:00:00","gmt_time_end":"2026-10-02 16:00:00","gmt_time_end_last":"2026-10-02 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 1502","extras":[],"hg_media":{"681146":{"id":"681146","type":"image","title":"Omar El Housni","body":null,"created":"1789408448","gmt_created":"2026-09-14 17:54:08","changed":"1789408448","gmt_changed":"2026-09-14 17:54:08","alt":"Omar El Housni","file":{"fid":"265507","name":"el-housni-13725.jpg","image_path":"\/sites\/default\/files\/2026\/09\/14\/el-housni-13725.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/09\/14\/el-housni-13725.jpg","mime":"image\/jpeg","size":75907,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/09\/14\/el-housni-13725.jpg?itok=g7EorVKL"}}},"media_ids":["681146"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"692468":{"#nid":"692468","#data":{"type":"event","title":"ISyE Seminar - Jian Kang (University of Michigan)","body":[{"value":"\u003Ch2\u003EModern Gaussian Processes for Neuroimaging Data Analysis\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003ERecent advances in neuroimaging have produced massive and heterogeneous datasets, ranging from fMRI with high spatial resolution to EEG with high temporal resolution, characterized by complex spatiotemporal correlations and substantial inter-subject variability. Traditional regression models and Gaussian process (GP) approaches with fixed parametric kernels often fail to model such complex data effectively while maintaining scalability and interpretability. This talk introduces a family of modern Bayesian GP frameworks that integrate deep kernel learning, neural network priors, and geometric modeling for large-scale neuroimaging analysis. An example is the Deep Kernel Learning Process (DKLP), which embeds deep neural networks within GP priors to learn data-adaptive covariance structures directly from imaging data. DKLP provides a unified modeling foundation for image-on-scalar, scalar-on-image, and image-on-image regression, supported by theoretical guarantees and efficient posterior computation. Applications to fMRI data from the Adolescent Brain Cognitive Development (ABCD) study reveal reproducible cortical activation patterns associated with cognitive ability, while analyses of EEG-based brain\u2013computer interface data demonstrate robust neural decoding under high noise. I will also discuss scalable heat-kernel GPs on manifolds and thresholded GP\u2013based spatially varying neural network priors, which together expand the scope of Bayesian inference for complex neuroimaging data.\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EDr. Jian Kang is Professor and Associate Chair for Research in the Department of Biostatistics at the University of Michigan. His research lies at the intersection of Bayesian statistics, machine learning, and artificial intelligence, with applications in neuroimaging, brain\u2013computer interfaces, omics, and precision medicine. He has published more than 175 papers in leading statistics, machine learning, and biomedical journals. Dr. Kang has served as an Associate Editor for several premier statistical journals, including the Journal of the American Statistical Association (JASA), The Annals of Applied Statistics (AOAS) and Biometrics. He is a Fellow of both the Institute of Mathematical Statistics (IMS) and the American Statistical Association (ASA). He currently serves as Chair of the ASA Section on Statistics in Imaging.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EModern Gaussian Processes for Neuroimaging Data Analysis\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Modern Gaussian Processes for Neuroimaging Data Analysis "}],"uid":"36870","created_gmt":"2026-09-09 18:46:28","changed_gmt":"2026-09-21 17:41:36","author":"bjones434","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-09-25T11:00:00-04:00","event_time_end":"2026-09-25T12:00:00-04:00","event_time_end_last":"2026-09-25T12:00:00-04:00","gmt_time_start":"2026-09-25 15:00:00","gmt_time_end":"2026-09-25 16:00:00","gmt_time_end_last":"2026-09-25 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 1502","extras":[],"hg_media":{"681113":{"id":"681113","type":"image","title":"Jian Kang","body":null,"created":"1788995256","gmt_created":"2026-09-09 23:07:36","changed":"1788995256","gmt_changed":"2026-09-09 23:07:36","alt":"Jian Kang","file":{"fid":"265472","name":"kang-13747.jpg","image_path":"\/sites\/default\/files\/2026\/09\/09\/kang-13747.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/09\/09\/kang-13747.jpg","mime":"image\/jpeg","size":428535,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/09\/09\/kang-13747.jpg?itok=r9JNvQuS"}}},"media_ids":["681113"],"groups":[{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"692728":{"#nid":"692728","#data":{"type":"event","title":"ISyE Student Seminar Series - Jacob Aguirre","body":[{"value":"\u003Ch2\u003EA Low-Rank \u200bAugmented Lagrangian Frank-Wolfe-Based \u200bMethod for SDPs with Unbounded Feasible Regions\u200b\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EWe present HALLaR+, a first-order method for large-scale semidefinite programs with equality and inequality constraints. Unlike existing low-rank methods, HALLaR+ does not require compact feasible regions or trace constraints. The method combines augmented Lagrangian optimization with hybrid Frank-Wolfe steps and achieves strong theoretical guarantees and competitive performance across diverse SDP benchmarks.\u200b\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Ch2\u003EA Low-Rank \u200bAugmented Lagrangian Frank-Wolfe-Based \u200bMethod for SDPs with Unbounded Feasible Regions\u200b\u003C\/h2\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"A Low-Rank \u200bAugmented Lagrangian Frank-Wolfe-Based \u200bMethod for SDPs with Unbounded Feasible Regions\u200b"}],"uid":"27764","created_gmt":"2026-09-21 15:16:40","changed_gmt":"2026-09-21 15:19:23","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-09-23T16:00:00-04:00","event_time_end":"2026-09-23T17:00:00-04:00","event_time_end_last":"2026-09-23T17:00:00-04:00","gmt_time_start":"2026-09-23 20:00:00","gmt_time_end":"2026-09-23 21:00:00","gmt_time_end_last":"2026-09-23 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"GeorgeTower 1102\u200b","extras":[],"hg_media":{"681210":{"id":"681210","type":"image","title":"Jacob Aguirre","body":"\u003Cp\u003EJacob Aguirre\u003C\/p\u003E","created":"1790003909","gmt_created":"2026-09-21 15:18:29","changed":"1790003909","gmt_changed":"2026-09-21 15:18:29","alt":"Jacob Aguirre","file":{"fid":"265576","name":"aguirre-13915.jpg","image_path":"\/sites\/default\/files\/2026\/09\/21\/aguirre-13915.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/09\/21\/aguirre-13915.jpg","mime":"image\/jpeg","size":317017,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/09\/21\/aguirre-13915.jpg?itok=soqXgMXw"}}},"media_ids":["681210"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"692469":{"#nid":"692469","#data":{"type":"event","title":"ISyE Seminar - Judy Jin (University of Michigan)","body":[{"value":"\u003Ch2\u003EAI-Enabled In-Situ Quality Control: Learning Beyond the Known\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EModern manufacturing generates increasingly rich in-situ sensing data, creating new opportunities for AI to enable automated and intelligent quality control decisions. However, conventional quality control using supervised learning relies on abundant labeled data and assumes that future product defects or process faults resemble those known during training. In practice, new defect types emerge, while abnormal conditions may be rarely observed or completely unknown. These challenges are particularly important for in-situ quality control, where defects must be detected or correctly classified for real-time decision-making, including newly emerging defects with limited or unavailable labels. Moreover, for latent defects that cannot be directly inspected online, defects must instead be predicted from indirect process-sensing signals. This requires mapping process-signal changes to possible defects despite scarce or unavailable defect training samples. This talk explores how advances in AI can address these challenges and enable more adaptive and intelligent in-situ quality control and decision-making for smart manufacturing.\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EDr. Judy Jin is the A. Galip Ulsoy Collegiate Professor of Engineering and Professor of Industrial and Operations Engineering at the University of Michigan. Her research lies at the intersection of data science and quality engineering, with a focus on synergistically integrating engineering models, AI, and advanced quality control methods to improve system design and operational performance. She has served as PI\/Co-PI on more than $20 million in federally and industry-funded research. Her work has received numerous honors, including 18 Best Paper Awards, the S.M. Wu Research Implementation Award from SME, the Forging Achievement Award from FIERF, the NSF CAREER Award, and the NSF PECASE Award.\u003Cbr\u003E\u003Cbr\u003EDr. Jin currently serves as Editor-in-Chief of IISE Transactions. She has also served as Vice President of INFORMS, Chair of the INFORMS Quality, Statistics and Reliability Section, and President of the IISE Quality Control and Reliability Engineering Division. She is a Fellow of ASME, IISE, and INFORMS.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EAI-Enabled In-Situ Quality Control: Learning Beyond the Known\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"AI-Enabled In-Situ Quality Control: Learning Beyond the Known "}],"uid":"36870","created_gmt":"2026-09-09 18:51:49","changed_gmt":"2026-09-17 13:38:13","author":"bjones434","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-20T11:00:00-05:00","event_time_end":"2026-11-20T12:00:00-05:00","event_time_end_last":"2026-11-20T12:00:00-05:00","gmt_time_start":"2026-11-20 16:00:00","gmt_time_end":"2026-11-20 17:00:00","gmt_time_end_last":"2026-11-20 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 360","extras":[],"hg_media":{"681144":{"id":"681144","type":"image","title":"Judy Jin","body":"\u003Cp\u003EJudy Jin\u003C\/p\u003E","created":"1789407369","gmt_created":"2026-09-14 17:36:09","changed":"1789407369","gmt_changed":"2026-09-14 17:36:09","alt":"Judy Jin2","file":{"fid":"265505","name":"Judy-Jin.jpg","image_path":"\/sites\/default\/files\/2026\/09\/14\/Judy-Jin.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/09\/14\/Judy-Jin.jpg","mime":"image\/jpeg","size":81518,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/09\/14\/Judy-Jin.jpg?itok=xMCp9Gjo"}}},"media_ids":["681144"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"689583":{"#nid":"689583","#data":{"type":"event","title":"ISyE Seminar - Michael Garland","body":[{"value":"\u003Ch2\u003EBuilding Tools For Tensor Programming\u003C\/h2\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Many of today\u0027s most important applications rely on high-performance manipulation of matrices, tensors, and general arrays of data. \u0026nbsp;The neural networks at the heart of AI language models are a prime example. \u0026nbsp;The AI software stack relies on kernels (e.g., for matrix-matrix product) that are specifically designed to deliver throughput close to the hardware\u0027s theoretical peak. \u0026nbsp;However, writing kernels that can deliver maximum performance is extremely challenging. \u0026nbsp;In this talk, I will discuss some of the work we have done to simplify the task of authoring such kernels. \u0026nbsp;This includes new abstractions to allow for algebraic manipulation of array layouts and new programming models for more easily expressing the kernels themselves.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EMichael Garland has been a researcher at NVIDIA since 2006. \u0026nbsp;He joined the company as one of the founding members of NVIDIA Research and is currently Senior Director of Programming Systems Research. \u0026nbsp;He leads a research group focused on developing technologies that will help programmers take advantage of modern high-performance machines. \u0026nbsp;Their work spans the software stack with a particular focus on parallel algorithms, programming languages, compilers and runtime systems, and low-level hardware\/software interfaces. \u0026nbsp;He and his team have both published numerous academic articles and contributed to many software packages in broad use by CUDA developers.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis talk highlights the critical role of high-performance kernels in enabling efficient matrix and tensor computations for modern AI applications, including language models. It discusses the challenges of achieving near-peak hardware performance and introduces new abstractions and programming models designed to simplify kernel development, particularly through more flexible array layout manipulation and clearer ways to express complex computations.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Building Tools For Tensor Programming"}],"uid":"36458","created_gmt":"2026-04-09 12:46:52","changed_gmt":"2026-09-16 14:38:41","author":"mellis74","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-24T11:00:00-04:00","event_time_end":"2026-04-24T12:00:00-04:00","event_time_end_last":"2026-04-24T12:00:00-04:00","gmt_time_start":"2026-04-24 15:00:00","gmt_time_end":"2026-04-24 16:00:00","gmt_time_end_last":"2026-04-24 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose Executive Boardroom GC402","extras":["free_food"],"hg_media":{"679900":{"id":"679900","type":"image","title":"Michael Garland","body":null,"created":"1775739349","gmt_created":"2026-04-09 12:55:49","changed":"1775739349","gmt_changed":"2026-04-09 12:55:49","alt":"Michael Garland","file":{"fid":"264121","name":"Michael-Garland.jpg","image_path":"\/sites\/default\/files\/2026\/04\/09\/Michael-Garland.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/04\/09\/Michael-Garland.jpg","mime":"image\/jpeg","size":25226,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/04\/09\/Michael-Garland.jpg?itok=KSjtyW2s"}}},"media_ids":["679900"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194683","name":"Talk"},{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"194945","name":"Alumni"},{"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":""}},"685352":{"#nid":"685352","#data":{"type":"event","title":"ISyE Quantum Seminar Series - Ojas Parekh (Sandia National Laboratories)","body":[{"value":"\u003Ch2\u003EWhere are the exponential quantum advantages for discrete optimization hiding?\u003C\/h2\u003E\u003Cp\u003E\u003Cstrong\u003ESummary: \u003C\/strong\u003EThis seminar examines why exponential quantum advantages for NP-hard discrete optimization remain elusive and explores potential explanations and workarounds through the Maximum Cut problem.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EQuantum computing offers hope for realizing exponential advantages over classical computing. Despite over two decades of work studying quantum approaches for discrete optimization, rigorously provable exponential advantages for approximating optimal solutions to NP-hard problems remain scarce. Why? We will discuss a potential explanation and workarounds, using the Maximum Cut problem as a running example.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker Bio: \u003C\/strong\u003EOjas Parekh is a theoretical computer scientist who enjoys applying mathematical techniques to practically motivated interdisciplinary problems. He has worked in a variety of fields including discrete optimization, combinatorics, combinatorial scientific computing, and most recently, quantum and neuromorphic computing. A recent passion is helping shape the emerging fields of quantum approximation algorithms and quantum discrete optimization. He co-directs the Quantum Algorithms and Applications Collaboratory (QuAAC) at Sandia National Laboratories and directs the Department of Energy Fundamental Algorithmic Research toward Quantum Utility project (\u003Ca href=\u0022http:\/\/far-qu.sandia.gov\u0022\u003Efar-qu.sandia.gov\u003C\/a\u003E), a multi-institutional effort tasked with designing novel quantum algorithms to realize advantages over classical computation, especially for optimization, simulation, and machine learning. Ojas believes the universe loves us because pizza exists.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EWhere are the exponential quantum advantages for discrete optimization hiding?\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Where are the exponential quantum advantages for discrete optimization hiding?"}],"uid":"36458","created_gmt":"2025-09-29 15:13:50","changed_gmt":"2026-09-15 23:17:36","author":"mellis74","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-10-08T11:00:00-04:00","event_time_end":"2025-10-08T12:00:00-04:00","event_time_end_last":"2025-10-08T12:00:00-04:00","gmt_time_start":"2025-10-08 15:00:00","gmt_time_end":"2025-10-08 16:00:00","gmt_time_end_last":"2025-10-08 16:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"678173":{"id":"678173","type":"image","title":"Ojas Parekh","body":null,"created":"1759159970","gmt_created":"2025-09-29 15:32:50","changed":"1759159970","gmt_changed":"2025-09-29 15:32:50","alt":"Ojas Parekh","file":{"fid":"262166","name":"ojas-copy-1024x1024.jpg","image_path":"\/sites\/default\/files\/2025\/09\/29\/ojas-copy-1024x1024_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/09\/29\/ojas-copy-1024x1024_0.jpg","mime":"image\/jpeg","size":117385,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/09\/29\/ojas-copy-1024x1024_0.jpg?itok=WR2OXn5P"}}},"media_ids":["678173"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"4359","name":"quantum computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"686503":{"#nid":"686503","#data":{"type":"event","title":"ISyE Quantum Seminar Series - Swati Gupta (MIT)","body":[{"value":"\u003Ch2\u003EHybrid Intelligence: Building the Bridge Between Optimization and Quantum Computing\u003C\/h2\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EQuantum computing promises to transform how we solve optimization problems\u2014but currently available Noisy Intermediate Scale Quantum (NISQ era) devices alone cannot get us there. A promising path forward lies in hybrid approaches that combine the strengths of classical algorithms with the emerging capabilities of quantum hardware, opening the door to scalable and high-performance solutions. In this talk, I will present recent advances in quantum optimization that bring this vision to life. I will discuss how warm-starting the Quantum Approximate Optimization Algorithm (QAOA) with classical relaxations can dramatically improve performance, how hybrid pipelines leverage combinatorial structure to achieve stronger approximations and noise resilience, and how benchmark families\u2014such as strongly regular graphs and low-degree graphs\u2014help us probe the boundary of quantum advantage. These results connect classical approximation algorithms, convex optimization, and quantum circuit design. Looking ahead, I will outline a research vision for hybrid intelligence, where classical and quantum algorithms operate in synergy rather than competition\u2014rethinking optimization for the next era of computing.\u003Cbr\u003E\u003Cbr\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003ESwati Gupta is an Associate Professor and the Class of 1947 Career Development Professor at the MIT Sloan School of Management in the Operations Research and Statistics Group. Prior to this, she held a Fouts Family Early Career Professorship as an Assistant Professor at the Stewart School of Industrial \u0026amp; Systems Engineering at Georgia Tech from 2018-2023, where she served as the lead of Ethical AI in the NSF AI Institute on Advances in Optimization from 2021-2023. She received a Ph.D. in Operations Research from MIT in 2017, following a joint Masters and B.Tech in Computer Science from IIT Delhi. Her research bridges optimization, machine learning, and algorithmic fairness, to design algorithms that are both theoretically rigorous and socially impactful, with applications in healthcare, hiring, energy, quantum computing, and beyond. Her work has been recognized by the 2023 NSF CAREER Award, INFORMS Doing Good with OR 2022 (finalist), the JP Morgan Early Career Faculty Recognition in 2021, the NSF CISE Research Initiation Initiative Award in 2019, INFORMS Computing Society 2016 (special recognition), and the INFORMS Service Science Section 2016 (finalist).\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EHybrid Intelligence: Building the Bridge Between Optimization and Quantum Computing\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Hybrid Intelligence: Building the Bridge Between Optimization and Quantum Computing"}],"uid":"36458","created_gmt":"2025-11-18 12:33:43","changed_gmt":"2026-09-15 23:17:24","author":"mellis74","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-11-18T15:30:00-05:00","event_time_end":"2025-11-18T16:30:00-05:00","event_time_end_last":"2025-11-18T16:30:00-05:00","gmt_time_start":"2025-11-18 20:30:00","gmt_time_end":"2025-11-18 21:30:00","gmt_time_end_last":"2025-11-18 21:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose Executive Boardroom GC402","extras":[],"hg_media":{"678653":{"id":"678653","type":"image","title":"Swati Gupta","body":null,"created":"1763470253","gmt_created":"2025-11-18 12:50:53","changed":"1763470253","gmt_changed":"2025-11-18 12:50:53","alt":"Swati Gupta","file":{"fid":"262712","name":"Swati-Gupta.jpg","image_path":"\/sites\/default\/files\/2025\/11\/18\/Swati-Gupta_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/11\/18\/Swati-Gupta_0.jpg","mime":"image\/jpeg","size":77868,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/11\/18\/Swati-Gupta_0.jpg?itok=AHBk083P"}}},"media_ids":["678653"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"692605":{"#nid":"692605","#data":{"type":"event","title":"ISyE Quantum Seminar Series - Stefan Woerner (IBM Research - Zurich)","body":[{"value":"\u003Ch2\u003EQuantum Approximate Multi\u2011Objective Optimization and Other Paths to Quantum Advantage in Optimization\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EIn this talk, we discuss possible paths toward demonstrating quantum advantage in optimization, focusing primarily on quantum approximate multi-objective optimization. Multi-objective optimization seeks to understand optimal trade-offs between competing objectives by identifying sets of solutions that balance these trade-offs, a task that can be challenging for classical methods. This makes it a natural candidate for exploring potential benefits of quantum computing. We present a quantum algorithm for approximating such trade-offs in combinatorial optimization problems and illustrate its performance using both experiments on IBM quantum hardware and classical simulations. We conclude by discussing complementary paths toward quantum advantage in optimization, highlighting the role of systematic benchmarking efforts such as the Quantum Optimization Benchmarking Library (QOBLIB).\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EDr. Stefan Woerner is a Principal Research Scientist, Global Technical Lead for Quantum Optimization, and Manager of the Applied Quantum Science group of IBM Quantum at IBM Research Europe - Zurich. He holds a Master of Science in Applied Mathematics and a Doctor of Sciences in Operations Management from ETH Zurich and is renowned for his work in quantum optimization, quantum finance, and quantum machine learning.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EQuantum Approximate Multi\u2011Objective Optimization and Other Paths to Quantum Advantage in Optimization\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":" Quantum Approximate Multi\u2011Objective Optimization and Other Paths to Quantum Advantage in Optimization "}],"uid":"27764","created_gmt":"2026-09-15 23:08:53","changed_gmt":"2026-09-15 23:10:05","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-16T11:00:00-04:00","event_time_end":"2026-04-16T12:00:00-04:00","event_time_end_last":"2026-04-16T12:00:00-04:00","gmt_time_start":"2026-04-16 15:00:00","gmt_time_end":"2026-04-16 16:00:00","gmt_time_end_last":"2026-04-16 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402 ","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"692604":{"#nid":"692604","#data":{"type":"event","title":"ISyE Quantum Seminar Series - Amara Katabarwa (GTRI)","body":[{"value":"\u003Ch2\u003EWhat It Takes to Build, Operate, and Use Quantum Computers\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThis talk surveys the quantum computing stack\u2014from applications and algorithms to hardware controls\u2014highlighting the complexity at each layer and the interdisciplinary skills required to build and operate quantum computers.\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EAmara Katabarwa earned his Ph.D. from the University of Georgia in 2019 and has since led industry and government-funded efforts in quantum software, benchmarking, error mitigation, and fault-tolerant algorithms, currently serving as a Senior Research Scientist for GTRI.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EWhat It Takes to Build, Operate, and Use Quantum Computers\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":" What It Takes to Build, Operate, and Use Quantum Computers "}],"uid":"27764","created_gmt":"2026-09-15 23:02:18","changed_gmt":"2026-09-15 23:04:04","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-04T14:30:00-05:00","event_time_end":"2026-03-04T15:30:00-05:00","event_time_end_last":"2026-03-04T15:30:00-05:00","gmt_time_start":"2026-03-04 19:30:00","gmt_time_end":"2026-03-04 20:30:00","gmt_time_end_last":"2026-03-04 20:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402 ","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"692603":{"#nid":"692603","#data":{"type":"event","title":"ISyE Quantum Seminar Series - Xiaodong Wang (Columbia University)","body":[{"value":"\u003Ch2\u003EClassical Optimization Techniques for Quantum Detection\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThe problem of discriminating among non-orthogonal quantum states arises throughout quantum information processing. For example, in quantum communications, a message is encoded as a quantum state and transmitted over a quantum channel to a receiver that decodes the message. In quantum sensing, a photon in a known state is emitted to gather information about the environment from its reflections. Underlying state discrimination are the design of the quantum measurement device used for measurement and the design of the hypotheses used to encode information or probe the environment. These are the core degrees of freedom in quantum information processing system design. This talk will present the design of three quantum detection tasks, including quantum state and channel discrimination over uncertain channels, sequential unambiguous quantum state and channel discrimination, and quickest quantum change-point detection. These designs make use of a range of classical non-convex optimization methods, including stochastic, bi-level, and multi-objective optimization.\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EXiaodong Wang received his Ph.D. in Electrical Engineering from Princeton University. He is a Professor of Electrical Engineering at Columbia University. His research interests span wireless communications, signal processing, machine learning, and quantum information processing. He received the 1999 NSF CAREER Award, the 2001 IEEE Communications Society and Information Theory Society Joint Paper Award, and the 2011 IEEE Communications Society Award for Outstanding Paper on New Communication Topics. He has served as an Associate Editor for the IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Signal Processing, and IEEE Transactions on Information Theory.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EClassical Optimization Techniques for Quantum Detection\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":" Classical Optimization Techniques for Quantum Detection "}],"uid":"27764","created_gmt":"2026-09-15 22:59:00","changed_gmt":"2026-09-15 23:00:09","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-09T14:30:00-04:00","event_time_end":"2026-03-09T15:30:00-04:00","event_time_end_last":"2026-03-09T15:30:00-04:00","gmt_time_start":"2026-03-09 18:30:00","gmt_time_end":"2026-03-09 19:30:00","gmt_time_end_last":"2026-03-09 19:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402 ","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"692602":{"#nid":"692602","#data":{"type":"event","title":"ISyE Quantum Seminar Series - Robert Wyllie (GTRI)","body":[{"value":"\u003Ch2\u003EQuantum sensors: An overview and applications\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EIt is an exciting time for quantum science and technology research. While the promise of quantum computers continues to motivate billions of dollars of investment by the U.S. government and private sector, quantum sensors have already revolutionized aspects of our daily life. Established technologies like atomic clocks in space underlie GPS and nearly all communication systems that rely on precise time and frequency synchronization. Related technologies like magnetometers are opening up new research frontiers in biomagnetism. At the same time, there remains a cutting edge achieved in research labs but not yet fielded. In this talk, Robert will give a brief overview of quantum sensors and some of their applications. He will discuss the broad topic of magnetic imaging, and the numerous applications that fall within that category. Throughout the talk, he will highlight the interplay between sensor development and signal processing.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EQuantum sensors: An overview and applications\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Quantum sensors: An overview and applications"}],"uid":"27764","created_gmt":"2026-09-15 22:55:15","changed_gmt":"2026-09-15 22:57:55","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-05T14:30:00-04:00","event_time_end":"2026-04-05T15:30:00-04:00","event_time_end_last":"2026-04-05T15:30:00-04:00","gmt_time_start":"2026-04-05 18:30:00","gmt_time_end":"2026-04-05 19:30:00","gmt_time_end_last":"2026-04-05 19:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402 ","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"692581":{"#nid":"692581","#data":{"type":"event","title":"ISYE Statistics Seminar - Alon Kipnis","body":[{"value":"\u003Cdiv dir=\u0022ltr\u0022\u003E\u003Cdiv\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E: The Sharp Minimax Risk for High-Dimensional Uniformity Testing and Applications to Model Calibration\u003Cbr\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E:\u0026nbsp;Testing whether high-dimensional categorical data follow a specified distribution is a fundamental problem in statistics, learning, and theoretical computer science.\u0026nbsp;We derive an expression for the asymptotic minimax risk in terms of the number of categories, the sample size, and the separation between the alternative class and the uniform distribution null. This result settles an open problem related to identity and uniformity testing in computer science and nonparametric hypothesis testing on distributions in mathematical statistics.\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003E\u003Cbr\u003E\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003EThe sharp characterization enables comparison among competing tests at the level of exact constants rather than asymptotic rates, revealing differences invisible under standard sample-complexity analyses.\u0026nbsp;Interestingly, commonly used chi-squared and collision statistics are asymptotically minimax under fixed sample sizes but fail to retain this property under Poisson sampling. We derive a new statistic that is asymptotically minimax in both settings.\u0026nbsp;The proof combines ideas from signal detection in white noise\u0026nbsp;with a new conditional central limit theorem that overcomes the de-Poissonization challenge.\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003E\u003Cbr\u003E\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003EAs a practical consequence, the sharp constant answers a longstanding design question in calibration testing:\u003C\/div\u003E\u003Cdiv\u003E\u003Cstrong\u003EHow many bins should one use when testing calibration using the probability integral transform\u003C\/strong\u003E?\u003C\/div\u003E\u003Cdiv\u003EWe derive an explicit formula for the largest number of bins that guarantees a prescribed minimax risk, replacing heuristic bin selection by a statistically optimal design rule.\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003EThis talk is partly based on the following work, which received the best non-student paper award in an\u0026nbsp;AISTATS 2026 workshop.\u003C\/div\u003E\u003Cdiv\u003EA. Kipnis, \u0022Calibrating the Calibration Tester: Optimal Binning and Minimax Calibration Testing for Continuous Predictive Models\u0022,\u0026nbsp;\u003Cem\u003ETowards Trustworthy Predictions: Theory and Applications of Calibration for Modern AI\u0026nbsp;@ AISTATS 2026\u003C\/em\u003E (\u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fopenreview.net%2Fforum%3Fid%3Ddy7XNC3W0g\u0026amp;data=05%7C02%7Cstatseminarseries%40isye.gatech.edu%7C9ebe7f175dc64f41f90008df125ceb18%7C482198bbae7b4b258b7a6d7f32faa083%7C1%7C0%7C639249862490750398%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C\u0026amp;sdata=bxxTY8NVzHEo9fKT4%2Bt44d%2FH6NN4Z3N%2FuHrmGsvmJ1Y%3D\u0026amp;reserved=0\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022Original URL: https:\/\/openreview.net\/forum?id=dy7XNC3W0g. Click or tap if you trust this link.\u0022\u003Ehttps:\/\/openreview.net\/forum?id=dy7XNC3W0g\u003C\/a\u003E)\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E:\u0026nbsp;Alon Kipnis is a Senior Lecturer (Assistant Professor) at the Efi Arazi School of Computer Science, Reichman University, Israel. He received the Ph.D. in Electrical Engineering from Stanford University in 2017, and was a Koret Foundation Postdoctoral Fellow in Statistics at Stanford University from 2018 to 2021.\u0026nbsp;His research focuses on mathematical statistics, information theory, signal processing, and machine learning.\u0026nbsp;\u003C\/div\u003E\u003Cp\u003E\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe Sharp Minimax Risk for High-Dimensional Uniformity Testing and Applications to Model Calibration\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The Sharp Minimax Risk for High-Dimensional Uniformity Testing and Applications to Model Calibration"}],"uid":"36868","created_gmt":"2026-09-14 13:59:05","changed_gmt":"2026-09-14 21:53:00","author":"mferrick3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-09-30T11:00:00-04:00","event_time_end":"2026-09-30T12:00:00-04:00","event_time_end_last":"2026-09-30T12:00:00-04:00","gmt_time_start":"2026-09-30 15:00:00","gmt_time_end":"2026-09-30 16:00:00","gmt_time_end_last":"2026-09-30 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 1502 ","extras":[],"hg_media":{"681142":{"id":"681142","type":"image","title":"Alon Kipnis","body":null,"created":"1789394934","gmt_created":"2026-09-14 14:08:54","changed":"1789394934","gmt_changed":"2026-09-14 14:08:54","alt":"Alon Kipnis","file":{"fid":"265503","name":"kipnis-13831.jpg","image_path":"\/sites\/default\/files\/2026\/09\/14\/kipnis-13831.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/09\/14\/kipnis-13831.jpg","mime":"image\/jpeg","size":15563,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/09\/14\/kipnis-13831.jpg?itok=iqDz1dMH"}}},"media_ids":["681142"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"692060":{"#nid":"692060","#data":{"type":"event","title":"ISyE Seminar - Weihua An (Emory)","body":[{"value":"\u003Ch2\u003EBayesian Pooling of Self- and Peer-Reports to Improve Measurement of Sensitive Behaviors\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EPrior literature shows that self-reports, especially those of sensitive behaviors, tend to be biased. For example, respondents may over-report their family origin and volunteering experiences while under-reporting their drinking and smoking behaviors. In this study I examine a social network-based approach to addressing self-reporting bias, which is to ask peers (e.g. classmates or co-workers) to provide alternative reports that can be used to cross-validate and supplement self-reports. I first formalize the data generation process statistically by proposing a model containing two sub-models, one for the self-reports and the other for the peer-reports. In each of the sub-models, I treat the observed report as a probabilistic realization of a truthful report and a false report. The model can incorporate both self- and peer-characteristics and also dyadic characteristics. A Bayesian approach helps make the model self-containing by imposing a prior on the unknown ego\u0027s behavior. Then the Bayesian approach simulates self- and peer-reports according to the data generation process iteratively until the simulated reports emulate the observed reports. Through a case study on self- and peer-reports of smoking among adolescents, I demonstrate that the Bayesian approach can not only reveal how multiple characteristics are related to reporting biases but also incorporate these characteristics effectively into the imputation of the true behavior.\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EDr. Weihua An is Professor and Chair of Sociology and Professor of Data and Decision Sciences at Emory University. He is also an affiliated faculty member of the East Asian Studies Program, the Goizueta Business School, and the Rollins School of Public Health. He earned his Ph.D. in Sociology and A.M. in Statistics from Harvard University. Dr. An\u0027s research advances theories and methods in network analysis and causal inference. He has published widely in both methodological and substantive journals and also authored multiple statistical packages, which have received 200K downloads in total. He currently serves as the Editor of Sociological Methodology and the Chair-Elect of the Methodology section of the American Sociological Association. He is a recipient of the Faculty Teaching Award from Emory Sociology and the Clifford Clogg Award and the Leo Goodman Award from the American Sociological Association. He has advised 28 PhD dissertations and ten undergraduate honors theses.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EBayesian Pooling of Self- and Peer-Reports to Improve Measurement of Sensitive Behaviors\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":" Bayesian Pooling of Self- and Peer-Reports to Improve Measurement of Sensitive Behaviors "}],"uid":"36870","created_gmt":"2026-08-27 14:46:38","changed_gmt":"2026-09-14 17:47:18","author":"bjones434","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-09-04T11:00:00-04:00","event_time_end":"2026-09-04T12:00:00-04:00","event_time_end_last":"2026-09-04T12:00:00-04:00","gmt_time_start":"2026-09-04 15:00:00","gmt_time_end":"2026-09-04 16:00:00","gmt_time_end_last":"2026-09-04 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 1502","extras":[],"hg_media":{"681145":{"id":"681145","type":"image","title":"Weihua An","body":null,"created":"1789407995","gmt_created":"2026-09-14 17:46:35","changed":"1789407995","gmt_changed":"2026-09-14 17:46:35","alt":"Weihua An","file":{"fid":"265506","name":"weihua_an_0.jpg","image_path":"\/sites\/default\/files\/2026\/09\/14\/weihua_an_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/09\/14\/weihua_an_0.jpg","mime":"image\/jpeg","size":44441,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/09\/14\/weihua_an_0.jpg?itok=_thXMLHD"}}},"media_ids":["681145"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"691878":{"#nid":"691878","#data":{"type":"event","title":"ISyE Seminar - Getachew-Biru Worku (University of Rwanda)","body":[{"value":"\u003Ch2\u003EDesign and Techno-Economic Analysis of PV Powered Irrigation System: Case Study in Rwanda\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThe agriculture sector is a major economic driver for Africa. However, climatic change is driving severe disruption across Africa, causing prolonged dry seasons and erratic rainfall. As a result, farmers are facing lower farming yield. To mitigate this serious challenge, farmers must adopt modern and green technologies, like solar irrigation. To show the potential of solar irrigation system to mitigate this critical problem, a research project has been developed with the collaboration of Georgia Tech, University of Rwanda and Adama Science and Technology University. The project aims at developing a PV irrigation system that integrates IoT and controllers for real-time monitoring of the performance of the PV-irrigation system and for optimizing water conservation. This project is envisioned to be a prototype model for further scaling up the deployment of PV-irrigation systems in Africa to enhance sustainable agricultural.\u0026nbsp;\u003Cbr\u003EAs part of the whole project, this seminar focuses more on the design and economic assessment of the system for a particular village in Rwanda.\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EGetachew Biru Worku obtained his MSC and PhD in Electrical Engineering from Dresden University of Technology, Germany. He has more than 30 years of academic and research experience in academic institutions and industry. He has extensive experience in teaching a broad range of electrical engineering courses with excellent feedback and acknowledgements from faculties and students. He has been lecturing courses such as Power Quality and Reliability, Power System Operation and Control, High Voltage Engineering, Power System Analysis, Power Transmission and Distribution Engineering, Electrical Machines Design, Smart Grid and Traction Power System in various Ethiopian Universities and University of Rwanda. He is currently employed as an associate professor at the University of Rwanda giving lectures and advising postgraduate students. He is a dedicated researcher in renewable energy deployment focusing on reliability of off-grid and microgrids to bring sustainable electrical power to the underserved areas. His research areas are electrical power and renewable energy and has authored and co-authored more than 45 papers in peer-reviewed journals.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EDesign and Techno-Economic Analysis of PV Powered Irrigation System: Case Study in Rwanda\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":" Design and Techno-Economic Analysis of PV Powered Irrigation System: Case Study in Rwanda "}],"uid":"36870","created_gmt":"2026-08-21 19:16:14","changed_gmt":"2026-09-14 16:55:09","author":"bjones434","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-08-28T11:00:00-04:00","event_time_end":"2026-08-28T12:00:00-04:00","event_time_end_last":"2026-08-28T12:00:00-04:00","gmt_time_start":"2026-08-28 15:00:00","gmt_time_end":"2026-08-28 16:00:00","gmt_time_end_last":"2026-08-28 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 1502","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"692582":{"#nid":"692582","#data":{"type":"event","title":"ISyE Picture Day","body":[{"value":"\u003Cp\u003EPhotos will be taking place over the course of three days in the Cecil G. Johnson ISyE Studio, located on the 5th floor of George Tower, Room 509.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIf you cannot make your assigned group day, please feel free to come by on any operating date below:\u0026nbsp;\u003C\/p\u003E\u003Cul\u003E\u003Cli data-list-item-id=\u0022e2f1b1687a48ae09269c373bbf3195d6c\u0022\u003ETime: 10:00AM - 3:00PM\u003C\/li\u003E\u003Cli data-list-item-id=\u0022ebe4d4b1a7ede4ed269b1d9d500942c50\u0022\u003EDates:\u0026nbsp;\u003Cul\u003E\u003Cli data-list-item-id=\u0022eb92a8beffb5e48db833dd313b7942251\u0022\u003E10\/6: Staff\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e5dee79ba5c87a39359f21fa66d3de8f1\u0022\u003E10\/7: Faculty\u003C\/li\u003E\u003Cli data-list-item-id=\u0022ed9d8af57493a095325579e2617c11c8e\u0022\u003E10\/8: Ph.D. Students\u003C\/li\u003E\u003C\/ul\u003E\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Cstrong\u003ERecommendations for attire:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cul\u003E\u003Cli data-list-item-id=\u0022e90491806f3730e225bbb25f12317605e\u0022\u003EWear blue, or dark-colored clothing (will be on a white backdrop)\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e4ed83ec08e0e8707783589f8aa1bc151\u0022\u003EDo NOT wear red\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e836c8b8558156d20fee019e920b1a84d\u0022\u003EAvoid wearing large jewelry and patterns\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EPhotos will be taking place over the course of three days in the Cecil G. 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Johnson Studio, George Tower, Room 509","extras":[],"hg_media":{"681143":{"id":"681143","type":"image","title":"ISyE Picture Day 2026","body":"\u003Cp\u003EISyE Picture Day 2026\u003C\/p\u003E","created":"1789397567","gmt_created":"2026-09-14 14:52:47","changed":"1789397567","gmt_changed":"2026-09-14 14:52:47","alt":"ISyE Picture Day 2026","file":{"fid":"265504","name":"Picture-Day2.jpg","image_path":"\/sites\/default\/files\/2026\/09\/14\/Picture-Day2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/09\/14\/Picture-Day2.jpg","mime":"image\/jpeg","size":242420,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/09\/14\/Picture-Day2.jpg?itok=ejalCeMv"}}},"media_ids":["681143"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"692576":{"#nid":"692576","#data":{"type":"event","title":"ISyE Student Seminar Series - Nicholas Sovich","body":[{"value":"\u003Ch2\u003EFlying First-Class on Analytics: Predicting Airline Employee \u0022Standby\u0022 Probabilities\u200b\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EFormer Delta data scientist Nick Sovich introduces SCORPION, a machine learning model that predicts standby boarding probabilities for nearly 500,000 Delta flights up to four months in advance. \u200b\u003Cbr\u003E\u003Cbr\u003EBuilt from his experience on 500+ standby flights, SCORPION continuously retrains on historical outcomes and is now used by thousands of Delta employees.\u200b\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Ch2\u003EFlying First-Class on Analytics: Predicting Airline Employee \u0022Standby\u0022 Probabilities\u200b09\/16\/2026\u003C\/h2\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Flying First-Class on Analytics: Predicting Airline Employee \u0022Standby\u0022 Probabilities\u200b"}],"uid":"27764","created_gmt":"2026-09-11 20:55:01","changed_gmt":"2026-09-11 20:57:15","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-09-16T16:00:00-04:00","event_time_end":"2026-09-16T17:00:00-04:00","event_time_end_last":"2026-09-16T17:00:00-04:00","gmt_time_start":"2026-09-16 20:00:00","gmt_time_end":"2026-09-16 21:00:00","gmt_time_end_last":"2026-09-16 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"GeorgeTower 1102\u200b","extras":[],"hg_media":{"681141":{"id":"681141","type":"image","title":"ISyE Student Seminar Series - 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Milton Stewart School of Industrial and\u0026nbsp;Systems Engineering\u003C\/strong\u003E\u003C\/a\u003E (the event is also publicized to the larger GT community).\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e97e9041cae50bfdefc8c3e90a6ebd4eb\u0022\u003E\u003Cstrong\u003EIncrease visibility\u003C\/strong\u003E and build your organization\u2019s brand at Georgia Tech to recruit in the future.\u0026nbsp;\u003C\/li\u003E\u003C\/ul\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech\u2019s largest Industrial Engineering Career Fair will take place on Monday, September 21st, 2026 at the Georgia Tech Exhibition Hall.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech\u2019s largest Industrial Engineering Career Fair will take place on Monday, September 21st, 2026 at the Georgia Tech Exhibition Hall."}],"uid":"36760","created_gmt":"2026-08-24 18:50:17","changed_gmt":"2026-09-11 16:47:47","author":"jsmith830","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-09-21T09:00:00-04:00","event_time_end":"2026-09-21T15:00:00-04:00","event_time_end_last":"2026-09-21T15:00:00-04:00","gmt_time_start":"2026-09-21 13:00:00","gmt_time_end":"2026-09-21 19:00:00","gmt_time_end_last":"2026-09-21 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Exhibition Hall","extras":[],"hg_media":{"680968":{"id":"680968","type":"image","title":"Fall 2026 IISE Career Fair","body":"\u003Ch3\u003EFall 2026 IISE Career Fair\u003C\/h3\u003E","created":"1787597630","gmt_created":"2026-08-24 18:53:50","changed":"1787597630","gmt_changed":"2026-08-24 18:53:50","alt":"Fall 2026 IISE Career Fair","file":{"fid":"265309","name":"F26-Student-Flyer.jpg","image_path":"\/sites\/default\/files\/2026\/08\/24\/F26-Student-Flyer.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/08\/24\/F26-Student-Flyer.jpg","mime":"image\/jpeg","size":829454,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/08\/24\/F26-Student-Flyer.jpg?itok=tzar8uRM"}}},"media_ids":["680968"],"groups":[{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"691630":{"#nid":"691630","#data":{"type":"event","title":"Techlanta 2026","body":[{"value":"\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003EPresented by Georgia Tech, the Applied AI and VR\/AR Associations, and leading partners across industry, academia, and innovation.\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003EThe Georgia Institute of Technology, the Applied AI Association (AAIA), and the VR\/AR Association (VRARA) invite you to Techlanta 2026: Driving the Future of AI, XR, and Global Innovation.\u003C\/p\u003E\u003Cp\u003EJoin us for a curated day of featured presentations, expert discussions, real-world use cases, demonstrations, and tours highlighting AI, XR and spatial computing, robotics, digital twins, advanced manufacturing, human-centered systems engineering, and other emerging technologies.\u003C\/p\u003E\u003Cp\u003EConnect with leaders across enterprise, startups, academia, research, investment, workforce development, and the broader innovation ecosystem. Explore commercialization opportunities, research partnerships, emerging talent, and practical applications shaping the future of intelligent, immersive, and scalable technology.\u003C\/p\u003E\u003Cp\u003ETechlanta is organized in collaboration with Georgia Tech OIT, the new Allen\u2013Davidson\u2013Coleman XR Makerspace, the H. Milton Stewart School of Industrial and Systems Engineering (ISyE), and the Symbiotic and Augmented Intelligence Laboratory (SAIL).\u003C\/p\u003E\u003Cp\u003EThis year\u2019s program will include:\u003C\/p\u003E\u003Cul\u003E\u003Cli data-list-item-id=\u0022e3945ff024a5d1da33d4a465c31296027\u0022\u003Ekeynote and featured presentations\u003C\/li\u003E\u003Cli data-list-item-id=\u0022eb76cf86b5868cdcba064d3043cda88ab\u0022\u003Eexpert panels and interactive discussions\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e0e303f93ec0bbb191d482b09920672c2\u0022\u003Ecurated exhibits and live technology demonstrations\u003C\/li\u003E\u003Cli data-list-item-id=\u0022ed276f86c8ee2187056b4988cf5258314\u0022\u003Escheduled tours of the Allen\u2013Davidson\u2013Coleman XR Makerspace\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e726c6ede7943fc3375529d81f7a9b874\u0022\u003Eopportunities to connect with Georgia Tech researchers, students, and innovation leaders\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EThe event will be held September 17, 2026, at the Georgia Tech Historic Academy of Medicine. Additional agenda, speaker, sponsor, and event details will be announced as they are confirmed.\u003C\/p\u003E\u003Cp\u003EDon\u2019t miss this opportunity to connect with Atlanta\u2019s innovation ecosystem and help shape the future of AI, XR, robotics, advanced manufacturing, and emerging technology adoption.\u003C\/p\u003E\u003Cp\u003EFor recruiter inclusion, group ticketing, sponsorship inquiries, media passes, or additional information, contact atlanta@thevrara.com\u003C\/p\u003E\u003Cp\u003EWe look forward to seeing you at Techlanta 2026!\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EDon\u2019t miss this opportunity to connect with Atlanta\u2019s innovation ecosystem and help shape the future of AI, XR, robotics, advanced manufacturing, and emerging technology adoption.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Don\u2019t miss this opportunity to connect with Atlanta\u2019s innovation ecosystem and help shape the future of AI, XR, robotics, advanced manufacturing, and emerging technology adoption."}],"uid":"36760","created_gmt":"2026-08-12 18:44:12","changed_gmt":"2026-09-11 16:47:09","author":"jsmith830","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-09-17T11:00:32-04:00","event_time_end":"2026-09-17T17:00:32-04:00","event_time_end_last":"2026-09-17T17:00:32-04:00","gmt_time_start":"2026-09-17 15:00:32","gmt_time_end":"2026-09-17 21:00:32","gmt_time_end_last":"2026-09-17 21:00:32","rrule":null,"timezone":"America\/New_York"},"location":"Georgia Tech\u2019s Historic Academy of Medicine","extras":[],"hg_media":{"680846":{"id":"680846","type":"image","title":"Techlanta2026","body":"\u003Cp\u003ETechlanta2026\u003C\/p\u003E","created":"1786560825","gmt_created":"2026-08-12 18:53:45","changed":"1786560825","gmt_changed":"2026-08-12 18:53:45","alt":"Techlanta2026","file":{"fid":"265172","name":"image.jpg","image_path":"\/sites\/default\/files\/2026\/08\/12\/image.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/08\/12\/image.jpg","mime":"image\/jpeg","size":323749,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/08\/12\/image.jpg?itok=nVhlrErT"}}},"media_ids":["680846"],"related_links":[{"url":"https:\/\/www.eventbrite.com\/e\/techlanta-2026-tickets-1993945297059","title":"Register Here"}],"groups":[{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194681","name":"Exhibit"},{"id":"1789","name":"Conference\/Symposium"},{"id":"194613","name":"Industry"}],"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"692146":{"#nid":"692146","#data":{"type":"event","title":"ISyE Seminar - Eunshin Byon (University of Michigan)","body":[{"value":"\u003Ch2\u003ELearning What Matters: Scalable Offline and Online Calibration of Digital Twins\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EDigital twins promise continuous, high-fidelity representations of physical systems, yet their practical deployment is often constrained by the computational cost of simulation and calibration. This talk presents a unified perspective on making digital twin calibration more efficient, adaptive, and scalable by learning where computational effort matters most.\u003Cbr\u003E\u003Cbr\u003EThe first part addresses offline calibration of block-structured models. I introduce a doubly importance-driven calibration method that learns which parameter blocks and which observations are most informative, and directs simulation effort toward the parts of the problem that contribute most to the optimization. This targeted allocation substantially reduces computational cost while preserving calibration accuracy.\u003Cbr\u003E\u003Cbr\u003EThe second part turns to online calibration, where model parameters evolve over time and computational resources are limited. The proposed framework combines fast, edge-side surrogate filtering with periodic, cloud-side discrepancy correction based on high-fidelity simulations. This two-tier architecture enables real-time parameter adaptation while maintaining consistency with the underlying digital twin.\u003Cbr\u003E\u003Cbr\u003ETogether, these methods show how learning what matters\u2014in parameters, observations, and computation\u2014can support digital twins that remain accurate, scalable, and continuously adaptive in practice.\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EDr. Eunshin Byon is a Professor in the Department of Industrial and Operations Engineering at the University of Michigan, Ann Arbor, where she also serves as Director of the Master\u0027s Program. She received her Ph.D. in Industrial and Systems Engineering from Texas A\u0026amp;M University in 2010. Her research spans data science, digital twin modeling and analysis, and quality and reliability engineering, with applications in energy, healthcare, and manufacturing systems. She served as Chair of the Quality, Statistics, and Reliability (QSR) Section of INFORMS in 2019\u20132020, and her research group has received multiple research and teaching awards from INFORMS, IISE, and IEEE. Dr. Byon is currently a Senior Editor for the INFORMS Journal on Data Science (2024\u2013present) and a Department Editor for IISE Transactions (2021\u2013present). She previously served as an Associate Editor for IISE Transactions (2019\u20132021), the INFORMS Journal on Data Science (2020\u20132024), and IEEE Transactions on Automation Science and Engineering (2019\u20132021).\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ELearning What Matters: Scalable Offline and Online Calibration of Digital Twins\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Learning What Matters: Scalable Offline and Online Calibration of Digital Twins"}],"uid":"36870","created_gmt":"2026-09-01 12:59:04","changed_gmt":"2026-09-10 22:23:25","author":"bjones434","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-09-11T11:00:00-04:00","event_time_end":"2026-09-11T12:00:00-04:00","event_time_end_last":"2026-09-11T12:00:00-04:00","gmt_time_start":"2026-09-11 15:00:00","gmt_time_end":"2026-09-11 16:00:00","gmt_time_end_last":"2026-09-11 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 1502","extras":[],"hg_media":{"681136":{"id":"681136","type":"image","title":"Eunshin Byon","body":"\u003Cp\u003EEunshin Byon\u003C\/p\u003E","created":"1789078949","gmt_created":"2026-09-10 22:22:29","changed":"1789078949","gmt_changed":"2026-09-10 22:22:29","alt":"Eunshin Byon","file":{"fid":"265496","name":"Eunshin-Byon.jpg","image_path":"\/sites\/default\/files\/2026\/09\/10\/Eunshin-Byon.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/09\/10\/Eunshin-Byon.jpg","mime":"image\/jpeg","size":83119,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/09\/10\/Eunshin-Byon.jpg?itok=PMUH2M4n"}}},"media_ids":["681136"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"692380":{"#nid":"692380","#data":{"type":"event","title":"Georgia Statistics Day 2026","body":[{"value":"\u003Ch2\u003EGathering Minds Across Georgia: Promoting Interdisciplinary Statistics Research\u003C\/h2\u003E\u003Cp\u003EThe H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology is pleased to welcome you to Atlanta, Georgia for Georgia Statistics Day 2026.\u003C\/p\u003E\u003Cp\u003EGeorgia Statistics Day is an annual event that promotes interdisciplinary statistics research across the University of Georgia, the Georgia Institute of Technology, and Emory University, with the venue rotating among the participating institutions. The 2026 event will feature a keynote lecture, two semi-plenary lectures, parallel research sessions, a student poster session, and ample opportunity for exchange between academia and industry.\u003C\/p\u003E\u003Cp\u003EWe are honored to have Prof. Jianqing Fan, Frederick L. Moore \u201918 Professor of Finance and Professor of Statistics, Machine Learning, and Operations Research and Financial Engineering at Princeton University, as our keynote speaker. The semi-plenary speakers are Prof. Sivaraman Balakrishnan from Carnegie Mellon University and Prof. Mladen Kolar from the University of Southern California.\u003C\/p\u003E\u003Cp\u003EThis one-day workshop brings together faculty, students, and industry researchers from across Georgia and the Southeast for invited talks, interdisciplinary exchange, mentoring, and networking. Registration and poster submissions are open through September 28, 2026.\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/sites.gatech.edu\/gsd2026\/\u0022\u003EGeorgia Statistics Day 2026 website\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Statistics Day 2026\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Statistics Day 2026"}],"uid":"27764","created_gmt":"2026-09-08 14:40:49","changed_gmt":"2026-09-08 14:56:19","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-10-05T08:00:00-04:00","event_time_end":"2026-10-05T17:30:00-04:00","event_time_end_last":"2026-10-05T17:30:00-04:00","gmt_time_start":"2026-10-05 12:00:00","gmt_time_end":"2026-10-05 21:30:00","gmt_time_end_last":"2026-10-05 21:30:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower, Georgia Tech","extras":[],"related_links":[{"url":"https:\/\/sites.gatech.edu\/gsd2026\/","title":"Georgia Statistics Day 2026 website"}],"groups":[{"id":"660346","name":"Master of Science in Analytics"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194682","name":"Workshop"},{"id":"1789","name":"Conference\/Symposium"},{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/user\/908\/contact\u0022\u003EMonike Welch\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"691914":{"#nid":"691914","#data":{"type":"event","title":"Welcome to George Tower Challenge","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EHow It Works\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u2022 Complete the five challenges below.\u003Cbr\u003E\u2022 Each challenge is worth 10 points.\u003Cbr\u003E\u2022 Complete all five on September 3rd \u0026nbsp;for a 10-point bonus.\u003Cbr\u003E\u2022 40 points = Ice Cream Ticket\u003Cbr\u003E\u2022 50 points = ISyE Swag Giveaway Drawing Entry Ticket\u003Cbr\u003E\u2022 60 points = Grand Prize Drawing Entry Ticket\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003E**Please note that Challenges 2, 3, and 4 will be available only on Thursday, September 3, 11am-12:15pm only.\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EChallenge 1:\u0026nbsp; Photo Quest (Worth: 10 Points)\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ECapture George Tower, study spaces\/Collaborative Learning Space(s), student organizations, faculty member, at least three new ISyE students, CASE team member(s), Academic Office team member(s), XR Makerspace, and what you would consider the best view from the building.\u0026nbsp; Upload and tag gt_isye on Instagram to receive points for this challenge. See attached flyer for more information on how to upload.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EChallenge 2:\u0026nbsp; Club Crawl (Worth: 10 Points)\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EVisit Alpha Phi Mu, BISyE, IISE, Student Ambassadors, Supply Chain\u0026amp; Logistics Club, and WISyE.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003E\u0026nbsp;Challenge 3:\u0026nbsp; Resource Rally (Worth: 10 Points)\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EVisit Academics (Advising, OR Master\u2019s in IE, OR MSA, OR, PhD tables), CASE, ISyE XR Makerspace, and Faculty Undergraduate Research labs.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EChallenge 4:\u0026nbsp; Did You Know? Discovery (Worth: 10 Points)\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ECollect fun facts from offices, labs, and organizations that you visit. You can continue to visit the Academic Office (houses Advising, Master\u2019s and PhD in IE, MSA, and CASE) after the \u201ckickoff\u201d to find your \u201cfun fact\u201d throughout the week.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EChallenge 5:\u0026nbsp; Leave Your Mark (Worth: 10 Points)\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EComplete the \u003Cstrong\u003EAchievement Board\u003C\/strong\u003E \u003Cstrong\u003EAND\u003C\/strong\u003E answer a prompt on the \u003Cstrong\u003EISyE Wall\u003C\/strong\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EComplete challenges, earn points, and win prizes!\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Explore \u2022 Connect \u2022 Discover"}],"uid":"36760","created_gmt":"2026-08-24 17:24:47","changed_gmt":"2026-08-26 14:31:04","author":"jsmith830","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-09-03T00:00:00-04:00","event_time_end":"2026-09-11T23:59:59-04:00","event_time_end_last":"2026-09-11T23:59:59-04:00","gmt_time_start":"2026-09-03 04:00:00","gmt_time_end":"2026-09-12 03:59:59","gmt_time_end_last":"2026-09-12 03:59:59","rrule":null,"timezone":"America\/New_York"},"location":"George Tower","extras":[],"hg_media":{"680963":{"id":"680963","type":"image","title":"George Tower Photo Challenge","body":"\u003Cp\u003EGeorge Tower Photo Challenge\u003C\/p\u003E","created":"1787592547","gmt_created":"2026-08-24 17:29:07","changed":"1787592547","gmt_changed":"2026-08-24 17:29:07","alt":"George Tower Photo Challenge","file":{"fid":"265303","name":"4.png","image_path":"\/sites\/default\/files\/2026\/08\/24\/4.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/08\/24\/4.png","mime":"image\/png","size":1032308,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/08\/24\/4.png?itok=Yj6-Vla-"}}},"media_ids":["680963"],"groups":[{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}