{"693231":{"#nid":"693231","#data":{"type":"event","title":"ISyE Statistics Seminar - Wei Jin","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle: \u003C\/strong\u003ETime Series Learning: From Forecasting to Reasoning and Discovery\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003ETime series learning has become a central problem in modern machine learning, with applications spanning science, engineering, healthcare, and finance. While much of the existing research has focused on improving forecasting accuracy, accurate prediction is only the starting point. This talk explores a broader view of time series learning, moving from forecasting toward reasoning and scientific discovery. I will first discuss our work on efficient time series forecasting, introducing cross-architecture knowledge distillation to develop lightweight models that achieve strong predictive performance with reduced computational costs. I will then explore spatio-temporal reasoning, presenting methods that integrate time series, spatial structures, and large language models to understand how events evolve and propagate across connected systems. Finally, I will discuss whether AI can move beyond prediction to discover the underlying mathematical and causal relationships governing temporal dynamics. These directions highlight the potential of time series learning to advance from accurate prediction toward deeper understanding and scientific discovery.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Wei Jin is an Assistant Professor in the Department of Computer Science and the Department of Biostatistics and Bioinformatics at Emory University. His research focuses on time series analysis and AI for health. His honors and achievements include two NIH R01 awards as principal investigator, IJCAI-ECAI Early Career Spotlights, AAAI New Faculty Highlights, KAUST Rising Stars, the INNS Doctoral Dissertation Runner-up Award, recognition for Most Influential Papers in KDD and WWW by Paper Digest, and top finishes in three NeurIPS competitions. His research has been published in Nature Portfolio journals, PNAS, and leading conferences including ICLR, KDD, ICML, and NeurIPS. He has also organized multiple tutorials and workshops at major AI conferences.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ETime Series Learning: From Forecasting to Reasoning and Discovery\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Time Series Learning: From Forecasting to Reasoning and Discovery"}],"uid":"36873","created_gmt":"2026-10-14 12:49:40","changed_gmt":"2026-10-15 18:08:57","author":"csheppard39","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-10-21T11:00:00-04:00","event_time_end":"2026-10-21T12:00:00-04:00","event_time_end_last":"2026-10-21T12:00:00-04:00","gmt_time_start":"2026-10-21 15:00:00","gmt_time_end":"2026-10-21 16:00:00","gmt_time_end_last":"2026-10-21 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 1202","extras":[],"hg_media":{"681422":{"id":"681422","type":"image","title":"Wei Jin Picture","body":null,"created":"1791982448","gmt_created":"2026-10-14 12:54:08","changed":"1791982448","gmt_changed":"2026-10-14 12:54:08","alt":"Wei Jin Picture","file":{"fid":"265827","name":"Picture2.jpg","image_path":"\/sites\/default\/files\/2026\/10\/14\/Picture2_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/10\/14\/Picture2_0.jpg","mime":"image\/jpeg","size":88820,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/10\/14\/Picture2_0.jpg?itok=Pr2lN_lH"}}},"media_ids":["681422"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[{"id":"5633","name":"Georgia Tech calendar"}],"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":""}},"693252":{"#nid":"693252","#data":{"type":"event","title":"XR Bytes Seminar: Austin Graves (ADC XR Makerspace)","body":[{"value":"\u003Ch2\u003ESpeaker: Austin Graves\u003Cbr\u003E\u0026nbsp;\u003C\/h2\u003E\u003Ch3\u003ESeminar Title\u003C\/h3\u003E\u003Cp\u003EEvaluating Lightweight Contact Feedback in Dual-Operator Collaborative Humanoid Teleoperation\u003C\/p\u003E\u003Ch3\u003EAffiliation\u003C\/h3\u003E\u003Cp\u003EPh.D. student in Robotics, George W. Woodruff School of Mechanical Engineering, College of Engineering\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EXR Bytes \u003C\/strong\u003Eis a graduate-student-led initiative dedicated to showcasing the trajectory of Extended Reality (XR) research across the Institute. Our goal is to highlight the versatile ways XR technologies are applied across various disciplines and majors, fostering an interdisciplinary community of innovation at Georgia Tech.\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003EParticipation \u0026amp; Visibility\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003EWe actively encourage cross-departmental participation and welcome engagement from both internal academic units and external industry partners. Our goal is to foster a robust community of practice around XR at Georgia Tech.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ELunch will be served for those who RSVP.\u003C\/em\u003E\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003ESubscribe \u0026amp; Sign Up\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003ETo join our mailing list and RSVP for these seminar series, please sign up here: \u003Ca href=\u0022https:\/\/outlook.office365.com\/groups\/groupsubscription?action=join\u0026amp;smtp=xr-bytes%40groups.gatech.edu\u0026amp;bO=true\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022(opens in a new window)\u0022\u003E\u003Cstrong\u003ERSVP HERE\u003C\/strong\u003E\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EEvaluating Lightweight Contact Feedback in Dual-Operator Collaborative Humanoid Teleoperation\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Evaluating Lightweight Contact Feedback in Dual-Operator Collaborative Humanoid Teleoperation"}],"uid":"27764","created_gmt":"2026-10-15 16:58:57","changed_gmt":"2026-10-15 17:00:58","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-20T12:53:00-05:00","event_time_end":"2026-11-20T13:30:00-05:00","event_time_end_last":"2026-11-20T13:30:00-05:00","gmt_time_start":"2026-11-20 17:53:00","gmt_time_end":"2026-11-20 18:30:00","gmt_time_end_last":"2026-11-20 18:30:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 503","extras":[],"hg_media":{"681438":{"id":"681438","type":"image","title":"Austin Graves","body":null,"created":"1792083596","gmt_created":"2026-10-15 16:59:56","changed":"1792083596","gmt_changed":"2026-10-15 16:59:56","alt":"Austin Graves","file":{"fid":"265846","name":"graves-14293.jpg","image_path":"\/sites\/default\/files\/2026\/10\/15\/graves-14293.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/10\/15\/graves-14293.jpg","mime":"image\/jpeg","size":41861,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/10\/15\/graves-14293.jpg?itok=nqcNwZsE"}}},"media_ids":["681438"],"groups":[{"id":"660404","name":"ISyE Extended Reality Makerspace (ISYE XR)"},{"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":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"693251":{"#nid":"693251","#data":{"type":"event","title":"XR Bytes Seminar: Liam Hart (ADC XR Makerspace)","body":[{"value":"\u003Ch2\u003ESpeaker: Liam Hart\u003Cbr\u003E\u0026nbsp;\u003C\/h2\u003E\u003Ch3\u003ESeminar Title\u003C\/h3\u003E\u003Cp\u003EHow Does Active Exploration in Virtual Reality Shape Spatial Memory?\u003C\/p\u003E\u003Ch3\u003EAffiliation\u003C\/h3\u003E\u003Cp\u003EPh.D. student in Adult Development and Aging, College of Sciences\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EXR Bytes \u003C\/strong\u003Eis a graduate-student-led initiative dedicated to showcasing the trajectory of Extended Reality (XR) research across the Institute. Our goal is to highlight the versatile ways XR technologies are applied across various disciplines and majors, fostering an interdisciplinary community of innovation at Georgia Tech.\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003EParticipation \u0026amp; Visibility\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003EWe actively encourage cross-departmental participation and welcome engagement from both internal academic units and external industry partners. Our goal is to foster a robust community of practice around XR at Georgia Tech.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ELunch will be served for those who RSVP.\u003C\/em\u003E\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003ESubscribe \u0026amp; Sign Up\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003ETo join our mailing list and RSVP for these seminar series, please sign up here: \u003Ca href=\u0022https:\/\/outlook.office365.com\/groups\/groupsubscription?action=join\u0026amp;smtp=xr-bytes%40groups.gatech.edu\u0026amp;bO=true\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022(opens in a new window)\u0022\u003E\u003Cstrong\u003ERSVP HERE\u003C\/strong\u003E\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EHow Does Active Exploration in Virtual Reality Shape Spatial Memory?\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"How Does Active Exploration in Virtual Reality Shape Spatial Memory?"}],"uid":"27764","created_gmt":"2026-10-15 16:54:36","changed_gmt":"2026-10-15 16:57:52","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-06T12:30:00-05:00","event_time_end":"2026-11-06T13:30:00-05:00","event_time_end_last":"2026-11-06T13:30:00-05:00","gmt_time_start":"2026-11-06 17:30:00","gmt_time_end":"2026-11-06 18:30:00","gmt_time_end_last":"2026-11-06 18:30:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 503","extras":[],"hg_media":{"681437":{"id":"681437","type":"image","title":"Liam Hart","body":null,"created":"1792083386","gmt_created":"2026-10-15 16:56:26","changed":"1792083386","gmt_changed":"2026-10-15 16:56:26","alt":"Liam Hart","file":{"fid":"265845","name":"hart-14292.jpg","image_path":"\/sites\/default\/files\/2026\/10\/15\/hart-14292.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/10\/15\/hart-14292.jpg","mime":"image\/jpeg","size":42164,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/10\/15\/hart-14292.jpg?itok=zczRWLxH"}}},"media_ids":["681437"],"related_links":[{"url":"https:\/\/outlook.office365.com\/groups\/groupsubscription?action=join\u0026smtp=xr-bytes%40groups.gatech.edu\u0026bO=true","title":"RSVP"}],"groups":[{"id":"660404","name":"ISyE Extended Reality Makerspace (ISYE XR)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"194945","name":"Alumni"},{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"693250":{"#nid":"693250","#data":{"type":"event","title":"XR Bytes Seminar: Chenyang Zhang (ADC XR Makerspace)","body":[{"value":"\u003Ch2\u003ESpeaker: Chenyang Zhang\u003Cbr\u003E\u0026nbsp;\u003C\/h2\u003E\u003Ch3\u003ESeminar Title\u003C\/h3\u003E\u003Cp\u003EBeyond Screens: Designing Human Interfaces for Spatial Computing\u003C\/p\u003E\u003Ch3\u003EAffiliation\u003C\/h3\u003E\u003Cp\u003EPh.D. Student in Human-Centered Computing, College of Computing\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EXR Bytes \u003C\/strong\u003Eis a graduate-student-led initiative dedicated to showcasing the trajectory of Extended Reality (XR) research across the Institute. Our goal is to highlight the versatile ways XR technologies are applied across various disciplines and majors, fostering an interdisciplinary community of innovation at Georgia Tech.\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003EParticipation \u0026amp; Visibility\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003EWe actively encourage cross-departmental participation and welcome engagement from both internal academic units and external industry partners. Our goal is to foster a robust community of practice around XR at Georgia Tech.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ELunch will be served for those who RSVP.\u003C\/em\u003E\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003ESubscribe \u0026amp; Sign Up\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003ETo join our mailing list and RSVP for these seminar series, please sign up here: \u003Ca href=\u0022https:\/\/outlook.office365.com\/groups\/groupsubscription?action=join\u0026amp;smtp=xr-bytes%40groups.gatech.edu\u0026amp;bO=true\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022(opens in a new window)\u0022\u003E\u003Cstrong\u003ERSVP HERE\u003C\/strong\u003E\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EBeyond Screens: Designing Human Interfaces for Spatial Computing\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Beyond Screens: Designing Human Interfaces for Spatial Computing"}],"uid":"27764","created_gmt":"2026-10-15 16:48:19","changed_gmt":"2026-10-15 16:54:07","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-10-23T12:30:00-04:00","event_time_end":"2026-10-23T13:30:00-04:00","event_time_end_last":"2026-10-23T13:30:00-04:00","gmt_time_start":"2026-10-23 16:30:00","gmt_time_end":"2026-10-23 17:30:00","gmt_time_end_last":"2026-10-23 17:30:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 503","extras":[],"hg_media":{"681436":{"id":"681436","type":"image","title":"Chenyang Zhang","body":null,"created":"1792083150","gmt_created":"2026-10-15 16:52:30","changed":"1792083150","gmt_changed":"2026-10-15 16:52:30","alt":"Chenyang Zhang","file":{"fid":"265844","name":"zhang-14291.jpg","image_path":"\/sites\/default\/files\/2026\/10\/15\/zhang-14291.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/10\/15\/zhang-14291.jpg","mime":"image\/jpeg","size":13827,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/10\/15\/zhang-14291.jpg?itok=xomGlxco"}}},"media_ids":["681436"],"related_links":[{"url":"https:\/\/outlook.office365.com\/groups\/groupsubscription?action=join\u0026smtp=xr-bytes%40groups.gatech.edu\u0026bO=true","title":"RSVP"}],"groups":[{"id":"660404","name":"ISyE Extended Reality Makerspace (ISYE XR)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"194945","name":"Alumni"},{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"693245":{"#nid":"693245","#data":{"type":"event","title":"ISyE Quantum Seminar Series - Martin Mourigal (Georgia Institute of Technology)","body":[{"value":"\u003Ch2\u003EProblems in Quantum Magnetism: Where Quantum, Statistical, Many-Body, and Measurement Science Meet\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EQuantum magnetism studies how large numbers of interacting quantum particles organize and evolve collectively. Despite simple microscopic ingredients, quantum magnetic materials exhibit rich emergent behavior, novel phases of matter, and dynamics that often challenge our ability to predict, model, or even measure them. In this talk, I will introduce the basic concepts of quantum magnetism and discuss a variety of open problems at the intersection of optimization, statistical inference, inverse problems, uncertainty quantification, complexity, and information. Along the way, I will show how modern experiments probe quantum matter and how physicists seek simplified, predictive descriptions of systems whose underlying complexity is often enormous. I will also discuss how emerging quantum computing tools are used to study such systems, complementarily to experiments on real materials.\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EMartin Mourigal is a Professor in the School of Physics at Georgia Tech, holds the Dunn Family Professorship, and serves as Co-Director of the Quantum Applications Research Center. He received his undergraduate degree in materials science from \u00c9cole des Mines de Nancy in 2007 and his M.S. and Ph.D. in physics from \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne in 2008 and 2011, respectively. He was a postdoctoral fellow at Johns Hopkins University from 2011 to 2014 and joined Georgia Tech in 2015. His honors include a 2018 National Science Foundation CAREER Award, a 2019 Kavli Fellowship by the U.S. National Academy of Sciences, and the 2022 Science Prize from the Neutron Scattering Society of America.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EProblems in Quantum Magnetism: Where Quantum, Statistical, Many-Body, and Measurement Science Meet\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":" Problems in Quantum Magnetism: Where Quantum, Statistical, Many-Body, and Measurement Science Meet "}],"uid":"27764","created_gmt":"2026-10-15 13:52:21","changed_gmt":"2026-10-15 13:55:00","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-10-19T15:30:00-04:00","event_time_end":"2026-10-19T16:30:00-04:00","event_time_end_last":"2026-10-19T16:30:00-04:00","gmt_time_start":"2026-10-19 19:30:00","gmt_time_end":"2026-10-19 20:30:00","gmt_time_end_last":"2026-10-19 20:30:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 1502","extras":[],"hg_media":{"681430":{"id":"681430","type":"image","title":"Martin Mourigal","body":null,"created":"1792072438","gmt_created":"2026-10-15 13:53:58","changed":"1792072438","gmt_changed":"2026-10-15 13:53:58","alt":"Martin Mourigal","file":{"fid":"265836","name":"mourigal-14285.jpeg","image_path":"\/sites\/default\/files\/2026\/10\/15\/mourigal-14285.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/10\/15\/mourigal-14285.jpeg","mime":"image\/jpeg","size":31002,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/10\/15\/mourigal-14285.jpeg?itok=pZC1pZr2"}}},"media_ids":["681430"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"194945","name":"Alumni"},{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"693139":{"#nid":"693139","#data":{"type":"event","title":"ISyE Seminar - Hong Wang (University of Manchester, UK)","body":[{"value":"\u003Ch2\u003EDecision Making Under Uncertainties: A Generic Framework Using Probability Density Function Control and Brain Computer Interface\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EAbstract: Decision-making under uncertainties has been a subject of study for many years. In particular, the decision making (optimization) for complex systems such as engineering and economic systems involves human-decision phase. This triggers the occurrences of uncertainties in the decision making phase in addition to the widely-existed inherent uncertainties in the actual systems. In this talk, such challenges will be addressed by summarizing the year\u2019s efforts of the presenter when he was with the University of Manchester before 2016. At first, a generic framework on the decision making for uncertainty systems has been formulated into a \u201cclosed loop control design problem\u201d, where the uncertainties in both decision making phase and the actual systems have been represented by the uncertainty injections to the \u201ccontroller\u201d and to the \u201cplant to be controlled\u201d. The uncertainties in human decision making phase is characterized by their probability density functions (PDF) of the brain-cell\u2019s signal collected via brain-computer-interface (BCI). Using such a generic framework, decision making under uncertainties are formulated as a PDF control problem of objective functions and constraints- leading to a total solution for the stochastic optimization for complex systems. Two case studies will be presented together with the rationale and claims that most of the existing stochastic optimizations are special cases of the presented theory. Note that the presentation is based upon the published materials by the author.\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EProfessor Hong Wang (Member of European Academy of Sciences and Arts, FIEEE, FIET, FInstMC, SMIEEE) received the BSc form Anhui University of Science and Technology in 1982, the master\u2019s and Ph.D. degrees from the Huazhong University of Science and Technology, Wuhan, China, in 1984 and 1987, respectively. He was a Research Fellow with Salford University, Salford, U.K., Brunel University, Uxbridge, U.K., and Southampton University, Southampton, U.K., before joining the University of Manchester Institute of Science and Technology (UMIST), Manchester, U.K., in 1992. He was a Chair Professor in process control of complex industrial systems with the University of Manchester (UoM), U.K., from 2002 to 2016, where he originated probability density function control theory in 1996 and was the Deputy Head of the Paper Science Department, the Director of the UMIST Control Systems Centre from 2004 to 2007, which is the birthplace of Modern Control Theory established in 1966. He was a University Senate member and a member of general assembly during his time in Manchester. Whilst he has been an Emeritus Professor of UoM, from 2016 to 2018, he was with the Pacific Northwest National Laboratory (PNNL), Richland, WA, USA, as a Laboratory Fellow and Chief Scientist,\u003Cbr\u003Eand was the Co-Leader and the Chief Scientist for the Control of Complex Systems Initiative. He joined the Oak Ridge National Laboratory in January 2019.\u003Cbr\u003E\u003Cbr\u003EHis research focuses on stochastic distribution control, fault diagnosis and tolerant control, and intelligent controls with applications to complex system area. He has published 6 books and 200+ journal papers in these areas together with 10+ awards\/prizes at international conferences.\u003Cbr\u003E\u003Cbr\u003EHe is an associate editor for IEEE Transactions on Neural Networks and Learning Systems and was an Associate Editor of IEEE Transactions on Automatic Control (2002 \u2013 2004), IEEE Transactions on Control Systems Technology (2013 \u2013 2018), and the IEEE Transactions on Automation Science and Engineering. He is also a member for three IFAC Committees for the three areas of his research.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EDecision Making Under Uncertainties: A Generic Framework Using Probability Density Function Control and Brain Computer Interface\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":" Decision Making Under Uncertainties: A Generic Framework Using Probability Density Function Control and Brain Computer Interface "}],"uid":"27764","created_gmt":"2026-10-07 20:07:31","changed_gmt":"2026-10-07 20:09:27","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-06T11:00:00-05:00","event_time_end":"2026-11-06T12:00:00-05:00","event_time_end_last":"2026-11-06T12:00:00-05:00","gmt_time_start":"2026-11-06 16:00:00","gmt_time_end":"2026-11-06 17:00:00","gmt_time_end_last":"2026-11-06 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 1502","extras":[],"hg_media":{"681379":{"id":"681379","type":"image","title":"Hong Wang","body":null,"created":"1791403711","gmt_created":"2026-10-07 20:08:31","changed":"1791403711","gmt_changed":"2026-10-07 20:08:31","alt":"Hong Wang","file":{"fid":"265760","name":"wang-14207.jpg","image_path":"\/sites\/default\/files\/2026\/10\/07\/wang-14207.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/10\/07\/wang-14207.jpg","mime":"image\/jpeg","size":19607,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/10\/07\/wang-14207.jpg?itok=XKT-E44O"}}},"media_ids":["681379"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"194945","name":"Alumni"},{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"693095":{"#nid":"693095","#data":{"type":"event","title":"ISyE Seminar - Zhaosong Lu (University of Minnesota)","body":[{"value":"\u003Ch2\u003EFirst-order Methods for Nonconvex\u2013Nonconcave Minimax Optimization\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EWe study a class of nonconvex\u2013nonconcave minimax problems in which the inner maximization problem satisfies a local Kurdyka\u2013\u0141ojasiewicz (KL) condition that may vary with the outer minimization variable. In contrast to the global KL or PL conditions commonly assumed in the literature\u2014which are significantly stronger and often too restrictive in practice\u2014this local KL condition accommodates a broader range of practical scenarios. However, it also introduces new analytical challenges. In particular, as an optimization algorithm approaches a stationary point, the region over which the KL condition holds may shrink, leading to a more intricate and potentially ill-conditioned landscape. To address this challenge, we show that the associated maximal function is locally generalized H\u00f6lder smooth. Leveraging this key property, we develop an inexact proximal gradient method for solving the minimax problem, where the inexact gradient of the maximal function is computed by applying a proximal gradient or sequential convex programming method to a KL-structured subproblem. Under mild assumptions, we establish complexity guarantees for computing an approximate stationary point of the minimax problem.\u003Cbr\u003E\u003Cbr\u003EThis is joint work with Xiangyuan Wang (University of Minnesota).\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EZhaosong Lu is a Full Professor in the Department of Industrial and Systems Engineering at the University of Minnesota. He received his Ph.D. in Operations Research from Georgia Tech. His research focuses on the theory and algorithms of continuous optimization, with applications in data science and machine learning. Dr. Lu has published extensively in leading journals, and his research has been supported by major funding agencies, including AFOSR, NSF, and ONR. He has served on several prize committees, such as the INFORMS George Nicholson Prize Committee and the ICCOPT Best Paper Award Committee. He has also served as an Associate Editor for leading journals, including Mathematics of Operations Research, SIAM Journal on Optimization, Computational Optimization and Applications, and Journal of Global Optimization.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EFirst-order Methods for Nonconvex\u2013Nonconcave Minimax Optimization\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":" First-order Methods for Nonconvex\u2013Nonconcave Minimax Optimization "}],"uid":"27764","created_gmt":"2026-10-06 15:08:50","changed_gmt":"2026-10-07 19:59:13","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-13T11:00:00-05:00","event_time_end":"2026-11-13T12:00:00-05:00","event_time_end_last":"2026-11-13T12:00:00-05:00","gmt_time_start":"2026-11-13 16:00:00","gmt_time_end":"2026-11-13 17:00:00","gmt_time_end_last":"2026-11-13 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 1502","extras":[],"hg_media":{"681365":{"id":"681365","type":"image","title":"Zhaosong Lu","body":null,"created":"1791299383","gmt_created":"2026-10-06 15:09:43","changed":"1791299383","gmt_changed":"2026-10-06 15:09:43","alt":"Zhaosong Lu","file":{"fid":"265745","name":"lu-.jpg","image_path":"\/sites\/default\/files\/2026\/10\/06\/lu-.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/10\/06\/lu-.jpg","mime":"image\/jpeg","size":58382,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/10\/06\/lu-.jpg?itok=egqSg-4z"}}},"media_ids":["681365"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"194945","name":"Alumni"},{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"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":""}},"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":""}},"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":""}},"690426":{"#nid":"690426","#data":{"type":"event","title":"SCL Course: Machine Learning Applications for Supply Chain Planning (Virtual\/Instructor-Lead)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is the third in the four-course Supply Chain Analytics Professional certificate program. It introduces the field of machine learning, an area where algorithms learn patterns from data to support proactive decision making, as it applies to supply chain management. You\u2019ll use machine learning to conduct predictive analytics as you forecast future demand, develop inventory policies, perform customer segmentation and predictive maintenance. You\u2019ll use Python and PowerBI to create and analyze regression, clustering, and classification models.\u003C\/p\u003E\u003Cp\u003EThe 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\u0026nbsp;before the first day of the course. An optional pre-course webinar is typically held the Thursday\u0026nbsp;before the course start date (July 6).\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 role of machine learning (ML) in Supply Chain Management (SCM)\u003C\/li\u003E\u003Cli\u003EApply advanced analytics techniques to build planning tools that can leverage large and real-time data sets\u003C\/li\u003E\u003Cli\u003EApply ML in demand forecasting and predictive maintenance\u003C\/li\u003E\u003Cli\u003EUnderstand how to assess ML model performance, improve models, and pick the best model for a decision\u003C\/li\u003E\u003Cli\u003EUse Python and PowerBI to build, analyze, and deploy ML models\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat You Will Learn\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EHow ML relates to SCM\u003C\/li\u003E\u003Cli\u003EML algorithms such as regression trees, clustering techniques, decision trees, random forests, logistic regression\u003C\/li\u003E\u003Cli\u003EAspects of ML projects including parameter tuning, cross validation, and assess model performance\u003C\/li\u003E\u003Cli\u003EApplication of ML in demand forecasting for sales and operations planning (S\u0026amp;OP) and inventory management\u003C\/li\u003E\u003Cli\u003EApplication of ML in predictive maintenance\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\u003EThe course will cover regression (trees), advanced time series forecasting, various clustering techniques (such as k-means), decision trees, random forests, neural nets, logistic regression, and Bayes classifiers. Using Power BI and Python, you\u2019ll apply the techniques to sensor data of the fictional Cardboard Company\u2019s paper production to build an anomaly detection model that supports proactive production maintenance planning.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Apply machine learning with Python and Power BI to optimize supply chain forecasting, inventory, and maintenance."}],"uid":"27233","created_gmt":"2026-05-21 18:07:55","changed_gmt":"2026-05-21 18:09:24","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2027-09-13T13:00:00-04:00","event_time_end":"2027-09-16T17:00:00-04:00","event_time_end_last":"2027-09-16T17:00:00-04:00","gmt_time_start":"2027-09-13 17:00:00","gmt_time_end":"2027-09-16 21:00:00","gmt_time_end_last":"2027-09-16 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\/scaml","title":"Course webpage within the SCL website"}],"groups":[{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"170001","name":"Supply Chain Engineering"},{"id":"194222","name":"Supply chain "},{"id":"9167","name":"machine learning"},{"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":""}},"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":""}}}