{"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":""}},"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":"2026-10-07 14:16:29","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":"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":""}},"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":""}},"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":""}},"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":""}},"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. Johnson ISyE Studio\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Photos will be taking place over the course of three days in the Cecil G. Johnson ISyE Studio"}],"uid":"36760","created_gmt":"2026-09-14 14:46:09","changed_gmt":"2026-09-14 14:55:03","author":"jsmith830","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-10-06T10:00:29-04:00","event_time_end":"2026-10-08T15:00:00-04:00","event_time_end_last":"2026-10-08T15:00:00-04:00","gmt_time_start":"2026-10-06 14:00:29","gmt_time_end":"2026-10-08 19:00:00","gmt_time_end_last":"2026-10-08 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Cecil G. 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":""}},"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":""}},"690421":{"#nid":"690421","#data":{"type":"event","title":"SCL Course: Transforming Supply Chain Management and Performance Analysis (Virtual\/Instructor-led)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is the first in the four-course Supply Chain Analytics Professional certificate program. It prepares you to apply leading-edge analytical methods and technology enablers across the supply chain. You\u2019ll learn the dynamics of supply chains, the most relevant planning challenges, and the roles of different types of analytics. Next, you\u2019ll learn about data cleansing, exploratory data analysis, and visualization. You\u2019ll use Python and PowerBI to analyze the causes of underperformance and to build dashboards to visualize supply chain data. You will leave knowing how to gather, analyze, and prepare your data through descriptive analytics before you dig into deeper applications.\u003C\/p\u003E\u003Cp\u003EThe online version of the course is comprised of (4) half-day instructor-led LIVE group webinars and pre-work (e.g. installing and testing software on your computer, testing connectivity with LMS and 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\u003EExperienced business professionals who perform or want to perform analytics to improve their supply chain management processes. They want to tackle strategic goals and to perform leading edge analytics projects that address the full complexity of supply chains.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EUnderstand the most relevant planning challenges across the strategic, tactical, and operational levels of supply chains\u003C\/li\u003E\u003Cli\u003ELearn the difference between analytics types, the links between them, and how to best use them to improve\u0026nbsp;supply chain management (SCM)\u0026nbsp;processes\u003C\/li\u003E\u003Cli\u003EUse\u0026nbsp;Key Performance Indicators (KPIs)\u0026nbsp;to find causes of underperformance in supply chains and to plan for analytics projects that will address strategic SCM goals\u003C\/li\u003E\u003Cli\u003EUtilize Python and PowerBI to understand, visualize, and analyze data in order to prepare for deeper analytics\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat Is Covered\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EThe role of analytics in SCM\u003C\/li\u003E\u003Cli\u003ETypes of analytics (descriptive, diagnostic, predictive, and prescriptive) and the relationships between them\u003C\/li\u003E\u003Cli\u003EPreprocessing (cleaning and integrating) data as it relates to SCM\u003C\/li\u003E\u003Cli\u003EConducting exploratory data analysis on supply chain data\u003C\/li\u003E\u003Cli\u003EBest practices for visualizing data and building dashboards\u003C\/li\u003E\u003Cli\u003EIdentifying and analyzing KPIs of SCM\u003C\/li\u003E\u003Cli\u003EHands-on practice with these skills using data from the (fictional) Cardboard Company (CBC)\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ELearn the dynamics of supply chains, the most relevant planning challenges, and the roles of different types of analytics. Next, you\u2019ll learn about data cleansing, exploratory data analysis, and visualization. You\u2019ll use Python and PowerBI to analyze the causes of underperformance and to build dashboards to visualize supply chain data. You will leave knowing how to gather, analyze, and prepare your data through descriptive analytics before you dig into deeper applications.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Learn to apply leading-edge analytical methods and technology enablers across the supply chain"}],"uid":"27233","created_gmt":"2026-05-21 17:48:43","changed_gmt":"2026-05-22 19:52:13","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2027-02-22T13:00:00-05:00","event_time_end":"2027-02-25T17:00:00-05:00","event_time_end_last":"2027-02-25T17:00:00-05:00","gmt_time_start":"2027-02-22 18:00:00","gmt_time_end":"2027-02-25 22:00:00","gmt_time_end_last":"2027-02-25 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\/scapa","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":"7251","name":"analytics"},{"id":"167074","name":"Supply Chain"},{"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":""}},"690425":{"#nid":"690425","#data":{"type":"event","title":"SCL Course: Generative AI Application for Supply Chain Professionals (Virtual\/Instructor-led)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course provides a deep dive into the ways in which artificial intelligence (AI) optimizes supply chain efficiency. Participants will explore generative AI fundamentals, prompt engineering, and practical applications such as automated inventory systems, predictive maintenance, and route optimization. The course also covers ethical AI use, good and bad use of generative AI (GenAI), and rapidly emerging use cases. By the end, professionals will be skilled in applying AI to enhance supply chain processes and drive success in their organizations.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course targets supply chain managers, data analysts, logistics professionals, procurement specialists, and business leaders aiming to harness GenAI for enhanced supply chain operations. It is ideal for those interested in GenAI-driven efficiency, strategic insights, and navigation of GenAI\u0027s role in transforming supply chain processes.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EEnhance decision-making capabilities through GenAI-driven insights to optimize processes and boost efficiency.\u003C\/li\u003E\u003Cli\u003EAcquire practical skills in prompt engineering and the use of generative AI models.\u003C\/li\u003E\u003Cli\u003EExplore practical use cases that can be reapplied.\u003C\/li\u003E\u003Cli\u003ELearn about good and bad use of GenAI for individuals, teams, and organizations.\u003C\/li\u003E\u003Cli\u003EBecome better equipped to effectively harness GenAI capabilities in supply chain activities and planning.\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat Is Covered\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EFoundational understanding of using GenAI in supply chain management\u003C\/li\u003E\u003Cli\u003EBasics of GenAI\u003C\/li\u003E\u003Cli\u003ECrafting effective AI prompts and their applications in optimizing warehouse layouts\u003C\/li\u003E\u003Cli\u003EPredictive maintenance and supplier selection\u003C\/li\u003E\u003Cli\u003EElimination of redundant tasks through AI\u003C\/li\u003E\u003Cli\u003EEthical considerations, risk assessments, and strategy for AI adoption\u003C\/li\u003E\u003Cli\u003EPractical strategies and real-world examples for implementing AI solutions effectively and making informed decisions\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EParticipants will explore generative AI fundamentals, prompt engineering, and practical applications such as automated inventory systems, predictive maintenance, and route optimization.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Participants will explore generative AI fundamentals, prompt engineering, and practical applications such as automated inventory systems, predictive maintenance, and route optimization."}],"uid":"27233","created_gmt":"2026-05-21 18:04:18","changed_gmt":"2026-05-21 18:05:06","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2027-04-19T20:00:00-04:00","event_time_end":"2027-04-21T16:00:00-04:00","event_time_end_last":"2027-04-21T16:00:00-04:00","gmt_time_start":"2027-04-20 00:00:00","gmt_time_end":"2027-04-21 20:00:00","gmt_time_end_last":"2027-04-21 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Virtual\/Instructor-led","extras":[],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education\/course\/gaiascp","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":"192390","name":"generative AI"},{"id":"170001","name":"Supply Chain Engineering"},{"id":"167074","name":"Supply Chain"},{"id":"122741","name":"physical internet"},{"id":"186857","name":"go-gtmi"}],"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:course@scl.gatech.edu\u0022\u003Ecourse@scl.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"690424":{"#nid":"690424","#data":{"type":"event","title":"SCL Course: Generative AI Application for Supply Chain Professionals (Onsite\/In-Person)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course provides a deep dive into the ways in which artificial intelligence (AI) optimizes supply chain efficiency. Participants will explore generative AI fundamentals, prompt engineering, and practical applications such as automated inventory systems, predictive maintenance, and route optimization. The course also covers ethical AI use, good and bad use of generative AI (GenAI), and rapidly emerging use cases. By the end, professionals will be skilled in applying AI to enhance supply chain processes and drive success in their organizations.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course targets supply chain managers, data analysts, logistics professionals, procurement specialists, and business leaders aiming to harness GenAI for enhanced supply chain operations. It is ideal for those interested in GenAI-driven efficiency, strategic insights, and navigation of GenAI\u0027s role in transforming supply chain processes.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EEnhance decision-making capabilities through GenAI-driven insights to optimize processes and boost efficiency.\u003C\/li\u003E\u003Cli\u003EAcquire practical skills in prompt engineering and the use of generative AI models.\u003C\/li\u003E\u003Cli\u003EExplore practical use cases that can be reapplied.\u003C\/li\u003E\u003Cli\u003ELearn about good and bad use of GenAI for individuals, teams, and organizations.\u003C\/li\u003E\u003Cli\u003EBecome better equipped to effectively harness GenAI capabilities in supply chain activities and planning.\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat Is Covered\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EFoundational understanding of using GenAI in supply chain management\u003C\/li\u003E\u003Cli\u003EBasics of GenAI\u003C\/li\u003E\u003Cli\u003ECrafting effective AI prompts and their applications in optimizing warehouse layouts\u003C\/li\u003E\u003Cli\u003EPredictive maintenance and supplier selection\u003C\/li\u003E\u003Cli\u003EElimination of redundant tasks through AI\u003C\/li\u003E\u003Cli\u003EEthical considerations, risk assessments, and strategy for AI adoption\u003C\/li\u003E\u003Cli\u003EPractical strategies and real-world examples for implementing AI solutions effectively and making informed decisions\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EParticipants will explore generative AI fundamentals, prompt engineering, and practical applications such as automated inventory systems, predictive maintenance, and route optimization.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Participants will explore generative AI fundamentals, prompt engineering, and practical applications such as automated inventory systems, predictive maintenance, and route optimization."}],"uid":"27233","created_gmt":"2026-05-21 18:02:33","changed_gmt":"2026-05-21 18:03:18","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2027-10-18T20:00:00-04:00","event_time_end":"2027-10-20T16:00:00-04:00","event_time_end_last":"2027-10-20T16:00:00-04:00","gmt_time_start":"2027-10-19 00:00:00","gmt_time_end":"2027-10-20 20:00:00","gmt_time_end_last":"2027-10-20 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Georgia Tech Savannah","extras":[],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education\/course\/gaiascp","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":"192390","name":"generative AI"},{"id":"170001","name":"Supply Chain Engineering"},{"id":"167074","name":"Supply Chain"},{"id":"122741","name":"physical internet"},{"id":"186857","name":"go-gtmi"}],"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":""}},"690423":{"#nid":"690423","#data":{"type":"event","title":"SCL Course: Supply Chain Optimization and Prescriptive Analytics (Virtual\/Instructor-led)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is the fourth in the 4-course Supply Chain Analytics Professional certificate program. It incorporates learning advanced analytics and mathematical optimization to find solutions for supply chain problems. You\u2019ll learn how to use linear programming, mixed integer programming, and heuristics to conduct prescriptive analytics related to production processes, distribution networks, and routing. The course serves as a capstone for the program by culminating in a hackathon where you\u2019ll design networks, inventory policies, and scenarios and then evaluate the outcomes via simulations.\u003C\/p\u003E\u003Cp\u003EThe online version of the course is comprised of (4) half-day online instructor-led LIVE group webinars and pre-work (e.g. installing and testing software on your computer, testing connectivity with LMS and 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\u003EExperienced business professionals who perform or want to perform analytics to improve their supply chain management processes. They want to tackle strategic goals and to perform leading edge analytics projects that address the full complexity of supply chains.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EUse mathematical optimization to transform Supply Chain Management (SCM) processes.\u003C\/li\u003E\u003Cli\u003EApply LP, MIP, and heuristics to SCM, particularly in production planning, routing, and network design.\u003C\/li\u003E\u003Cli\u003EUtilize PowerBI and Python in optimization projects.\u003C\/li\u003E\u003Cli\u003EParticipate in a hackathon that pulls together everything learned throughout the certificate program.\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat Is Covered\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003ERole of mathematical optimization in addressing complex SCM challenges \u0026nbsp;\u003C\/li\u003E\u003Cli\u003EAppropriate application of linear programming (LP), mixed integer programming (MIP), and heuristics\u003C\/li\u003E\u003Cli\u003EEvaluation of production processes, distribution networks, and routes using optimization\u003C\/li\u003E\u003Cli\u003EAbility to pull together all content of the certificate program into a prescriptive analytics project\u003C\/li\u003E\u003Cli\u003EHands-on practice with these skills using data from the (fictional) Cardboard Company (CBC)\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ELearn advanced analytics and mathematical optimization to find solutions for supply chain problems.\u0026nbsp;The course also serves as a capstone for the Supply Chain Analytics Professional certificate program\u0026nbsp;by culminating in a hackathon where you\u2019ll design networks, inventory policies, and scenarios and then evaluate the outcomes via simulations.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Learn advanced analytics and mathematical optimization to find solutions for supply chain problems."}],"uid":"27233","created_gmt":"2026-05-21 17:51:08","changed_gmt":"2026-05-21 17:52:02","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2027-11-08T13:00:00-05:00","event_time_end":"2027-11-11T17:00:00-05:00","event_time_end_last":"2027-11-11T17:00:00-05:00","gmt_time_start":"2027-11-08 18:00:00","gmt_time_end":"2027-11-11 22:00:00","gmt_time_end_last":"2027-11-11 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\/scaoc","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":"7251","name":"analytics"},{"id":"167074","name":"Supply Chain"},{"id":"122741","name":"physical internet"},{"id":"186857","name":"go-gtmi"}],"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":""}},"690422":{"#nid":"690422","#data":{"type":"event","title":"SCL Course: Creating Business Value with Statistical Analysis (Virtual\/Instructor-led)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is the second in the four-course Supply Chain Analytics Professional certificate program. It emphasizes operational performance metrics to align supply chain management with strategic business goals. You\u2019ll learn several statistics concepts (e.g. variance analysis, hypothesis testing, forecasting methods) along with inventory management models. You\u2019ll use diagnostic analytics with PowerBI and Python to conduct demand and service profiling, undertake root cause analysis, and use time series forecasting in inventory management.\u003C\/p\u003E\u003Cp\u003EThe online version of the course is comprised of (4) half-day online instructor-led LIVE group webinars and pre-work (e.g. installing and testing software on your computer, testing connectivity with LMS and 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\u003EExperienced business professionals who perform or want to perform analytics to improve their supply chain management processes. They want to tackle strategic goals and to perform leading edge analytics projects that address the full complexity of supply chains.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EUnderstand why and how to align Supply Chain Management (SCM) strategy with business strategy\u003C\/li\u003E\u003Cli\u003ELearn statistics techniques as they relate to SCM\u003C\/li\u003E\u003Cli\u003EUnderstand inventory management models and how to apply statistics techniques to them\u003C\/li\u003E\u003Cli\u003ECreate time series forecasts based on SCM data\u003C\/li\u003E\u003Cli\u003EUtilize Python and PowerBI to perform statistical analyses, create time series forecasts and visualize results\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat Is Covered\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EThe importance of aligning SCM and business strategy\u003C\/li\u003E\u003Cli\u003EHow to ask the right business questions as they relate to SCM\u003C\/li\u003E\u003Cli\u003EHow to use statistics to identify issues, compare data, and forecast decision outcomes\u003C\/li\u003E\u003Cli\u003EStatistical\u0026nbsp;concepts including variance analysis and hypothesis testing\u003C\/li\u003E\u003Cli\u003EInventory management models\u003C\/li\u003E\u003Cli\u003EApplying statistics to inventory management models\u003C\/li\u003E\u003Cli\u003EForecasting techniques including time series forecasting\u003C\/li\u003E\u003Cli\u003EHands-on practice with these skills using data from the (fictional) Cardboard Company (CBC)\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ELearn statistics concepts (e.g. variance analysis, hypothesis testing, forecasting methods) and inventory management models to improve operational performance metrics and align supply chain management with strategic business goals.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Learn statistics concepts (e.g. variance analysis, hypothesis testing, forecasting methods) and inventory management models."}],"uid":"27233","created_gmt":"2026-05-21 17:50:11","changed_gmt":"2026-05-21 17:50:49","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2027-04-12T13:00:00-04:00","event_time_end":"2027-04-15T17:00:00-04:00","event_time_end_last":"2027-04-15T17:00:00-04:00","gmt_time_start":"2027-04-12 17:00:00","gmt_time_end":"2027-04-15 21:00:00","gmt_time_end_last":"2027-04-15 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Virtual\/Instructor-led","extras":[],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education\/course\/scabv","title":"Course detail 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":"7251","name":"analytics"},{"id":"167074","name":"Supply Chain"},{"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":""}},"686798":{"#nid":"686798","#data":{"type":"event","title":"SCL Course: Generative AI Application for Supply Chain Professionals (Onsite\/In-Person)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course provides a deep dive into the ways in which artificial intelligence (AI) optimizes supply chain efficiency. Participants will explore generative AI fundamentals, prompt engineering, and practical applications such as automated inventory systems, predictive maintenance, and route optimization. The course also covers ethical AI use, good and bad use of generative AI (GenAI), and rapidly emerging use cases. By the end, professionals will be skilled in applying AI to enhance supply chain processes and drive success in their organizations.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course targets supply chain managers, data analysts, logistics professionals, procurement specialists, and business leaders aiming to harness GenAI for enhanced supply chain operations. It is ideal for those interested in GenAI-driven efficiency, strategic insights, and navigation of GenAI\u0027s role in transforming supply chain processes.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EEnhance decision-making capabilities through GenAI-driven insights to optimize processes and boost efficiency.\u003C\/li\u003E\u003Cli\u003EAcquire practical skills in prompt engineering and the use of generative AI models.\u003C\/li\u003E\u003Cli\u003EExplore practical use cases that can be reapplied.\u003C\/li\u003E\u003Cli\u003ELearn about good and bad use of GenAI for individuals, teams, and organizations.\u003C\/li\u003E\u003Cli\u003EBecome better equipped to effectively harness GenAI capabilities in supply chain activities and planning.\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat Is Covered\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EFoundational understanding of using GenAI in supply chain management\u003C\/li\u003E\u003Cli\u003EBasics of GenAI\u003C\/li\u003E\u003Cli\u003ECrafting effective AI prompts and their applications in optimizing warehouse layouts\u003C\/li\u003E\u003Cli\u003EPredictive maintenance and supplier selection\u003C\/li\u003E\u003Cli\u003EElimination of redundant tasks through AI\u003C\/li\u003E\u003Cli\u003EEthical considerations, risk assessments, and strategy for AI adoption\u003C\/li\u003E\u003Cli\u003EPractical strategies and real-world examples for implementing AI solutions effectively and making informed decisions\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EParticipants will explore generative AI fundamentals, prompt engineering, and practical applications such as automated inventory systems, predictive maintenance, and route optimization.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Participants will explore generative AI fundamentals, prompt engineering, and practical applications such as automated inventory systems, predictive maintenance, and route optimization."}],"uid":"27233","created_gmt":"2025-12-08 22:20:10","changed_gmt":"2025-12-08 22:20:47","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-10-19T20:00:00-04:00","event_time_end":"2026-10-21T16:00:00-04:00","event_time_end_last":"2026-10-21T16:00:00-04:00","gmt_time_start":"2026-10-20 00:00:00","gmt_time_end":"2026-10-21 20:00:00","gmt_time_end_last":"2026-10-21 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Georgia Tech Savannah","extras":[],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education\/course\/gaiascp","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":"192390","name":"generative AI"},{"id":"170001","name":"Supply Chain Engineering"},{"id":"167074","name":"Supply Chain"},{"id":"122741","name":"physical internet"},{"id":"186857","name":"go-gtmi"}],"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":""}},"682843":{"#nid":"682843","#data":{"type":"event","title":"SCL Course: Supply Chain Optimization and Prescriptive Analytics (Virtual\/Instructor-led)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is the fourth in the 4-course Supply Chain Analytics Professional certificate program. It incorporates learning advanced analytics and mathematical optimization to find solutions for supply chain problems. You\u2019ll learn how to use linear programming, mixed integer programming, and heuristics to conduct prescriptive analytics related to production processes, distribution networks, and routing. The course serves as a capstone for the program by culminating in a hackathon where you\u2019ll design networks, inventory policies, and scenarios and then evaluate the outcomes via simulations.\u003C\/p\u003E\u003Cp\u003EThe online version of the course is comprised of (4) half-day online instructor-led LIVE group webinars and pre-work (e.g. installing and testing software on your computer, testing connectivity with LMS and 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\u003EExperienced business professionals who perform or want to perform analytics to improve their supply chain management processes. They want to tackle strategic goals and to perform leading edge analytics projects that address the full complexity of supply chains.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EUse mathematical optimization to transform Supply Chain Management (SCM) processes.\u003C\/li\u003E\u003Cli\u003EApply LP, MIP, and heuristics to SCM, particularly in production planning, routing, and network design.\u003C\/li\u003E\u003Cli\u003EUtilize PowerBI and Python in optimization projects.\u003C\/li\u003E\u003Cli\u003EParticipate in a hackathon that pulls together everything learned throughout the certificate program.\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat Is Covered\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003ERole of mathematical optimization in addressing complex SCM challenges \u0026nbsp;\u003C\/li\u003E\u003Cli\u003EAppropriate application of linear programming (LP), mixed integer programming (MIP), and heuristics\u003C\/li\u003E\u003Cli\u003EEvaluation of production processes, distribution networks, and routes using optimization\u003C\/li\u003E\u003Cli\u003EAbility to pull together all content of the certificate program into a prescriptive analytics project\u003C\/li\u003E\u003Cli\u003EHands-on practice with these skills using data from the (fictional) Cardboard Company (CBC)\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ELearn advanced analytics and mathematical optimization to find solutions for supply chain problems.\u0026nbsp;The course also serves as a capstone for the Supply Chain Analytics Professional certificate program\u0026nbsp;by culminating in a hackathon where you\u2019ll design networks, inventory policies, and scenarios and then evaluate the outcomes via simulations.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Learn advanced analytics and mathematical optimization to find solutions for supply chain problems."}],"uid":"27233","created_gmt":"2025-06-23 18:09:54","changed_gmt":"2025-06-23 18:10:44","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-02T13:00:00-05:00","event_time_end":"2026-11-05T17:00:00-05:00","event_time_end_last":"2026-11-05T17:00:00-05:00","gmt_time_start":"2026-11-02 18:00:00","gmt_time_end":"2026-11-05 22:00:00","gmt_time_end_last":"2026-11-05 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\/scaoc","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":"7251","name":"analytics"},{"id":"167074","name":"Supply Chain"},{"id":"122741","name":"physical internet"},{"id":"186857","name":"go-gtmi"}],"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":""}},"682531":{"#nid":"682531","#data":{"type":"event","title":"SCL Course: World Class Sales and Operations Planning (Virtual\/Instructor-led)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course focuses on defining, executing, and improving the sales and operations planning (S\u0026amp;OP) process. Participants will be introduced to the appropriate stakeholders of S\u0026amp;OP, the importance of S\u0026amp;OP to corporate performance, S\u0026amp;OP cadence, and the use of decision support tools to bring S\u0026amp;OP to the next level. Business cases will be used to show concrete examples of companies where S\u0026amp;OP is effectively applied.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is designed for chief operating officers; supply chain, sales, marketing and finance management executives (directors, vice presidents, executive vice presidents); supply chain and logistics managers, consultants, supervisors, planners, and engineers; supply chain education and human resource management personnel, inventory and demand planners, and procurement and sourcing analysts and managers; and manufacturing planners, analysts, and managers.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EUnderstand the need for an S\u0026amp;OP process in a company.\u003C\/li\u003E\u003Cli\u003EApply the principles that are the key to success of an S\u0026amp;OP process.\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat You Will Learn\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003ES\u0026amp;OP process and technology\u003C\/li\u003E\u003Cli\u003ES\u0026amp;OP implementation planning and execution\u003C\/li\u003E\u003Cli\u003ES\u0026amp;OP stakeholder and communications planning\u003C\/li\u003E\u003Cli\u003ES\u0026amp;OP business case and best practices\u003C\/li\u003E\u003Cli\u003ES\u0026amp;OP process management\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EParticipants will be introduced to the appropriate stakeholders of S\u0026amp;OP, the importance of S\u0026amp;OP to corporate performance, S\u0026amp;OP cadence, and the use of decision support tools to bring S\u0026amp;OP to the next level. Business cases will be used to show concrete examples of companies where S\u0026amp;OP is effectively applied.\u003C\/p\u003E\u003Ch3\u003E\u0026nbsp;\u003C\/h3\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Learn to define, execute, and improve the sales and operations planning (S\u0026OP) process, including stakeholder management, cadence, and decision support tools, through real-world case studies."}],"uid":"27233","created_gmt":"2025-05-23 20:32:37","changed_gmt":"2025-05-23 20:36:21","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-10-12T08:00:00-04:00","event_time_end":"2026-10-14T12:00:00-04:00","event_time_end_last":"2026-10-14T12:00:00-04:00","gmt_time_start":"2026-10-12 12:00:00","gmt_time_end":"2026-10-14 16:00:00","gmt_time_end_last":"2026-10-14 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Virtual\/Instructor-led","extras":[],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education\/course\/wcsop","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":"194222","name":"Supply chain "},{"id":"194307","name":"Operations Planning"},{"id":"169561","name":"Sales"}],"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":""}}}