{"693756":{"#nid":"693756","#data":{"type":"event","title":"ISYE Statistics Seminar - Yuqing Wang (Johns Hopkins University)","body":[{"value":"\u003Ch2\u003E\u003Cstrong\u003EToward Theoretical Foundations of Training and Generalization Dynamics in Deep Learning\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EUnderstanding training and generalization dynamics remains a central challenge in machine learning, particularly as neural networks, datasets, and learning tasks become increasingly complex in practice. However, existing theoretical characterizations remain largely restricted to simplified models or limiting regimes. In this talk, I will present a general convergence framework for gradient descent on a broad family of neural networks and data beyond the neural tangent kernel regime, together with a characterization of their generalization dynamics. This framework also helps explain the role of residual connections, differences in layerwise generalization behavior, and the grokking phenomenon.\u003Cbr\u003E\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EYuqing Wang is a Data Science Postdoctoral Fellow in the Department of Applied Mathematics and Statistics at Johns Hopkins University. Before that, she was a Research Fellow at the Simons Institute at the University of California, Berkeley. She received her Ph.D. in Mathematics from the Georgia Institute of Technology in 2024. Her research focuses on the theoretical foundations of deep learning theory, with an emphasis on characterizing the training dynamics. She is the recipient of multiple rising star awards and the Sigma Xi Best PhD thesis award.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EToward Theoretical Foundations of Training and Generalization Dynamics in Deep Learning\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Toward Theoretical Foundations of Training and Generalization Dynamics in Deep Learning"}],"uid":"36873","created_gmt":"2026-11-04 13:44:33","changed_gmt":"2026-11-04 13:45:49","author":"csheppard39","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-12-01T11:00:00-05:00","event_time_end":"2026-12-01T12:00:00-05:00","event_time_end_last":"2026-12-01T12:00:00-05:00","gmt_time_start":"2026-12-01 16:00:00","gmt_time_end":"2026-12-01 17:00:00","gmt_time_end_last":"2026-12-01 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 1502","extras":[],"hg_media":{"681652":{"id":"681652","type":"image","title":"ef19dd7c-ab63-4093-bbc8-3b8e52c5761b.jpg","body":null,"created":"1793799926","gmt_created":"2026-11-04 13:45:26","changed":"1793799926","gmt_changed":"2026-11-04 13:45:26","alt":"Yuqing Wang","file":{"fid":"266084","name":"ef19dd7c-ab63-4093-bbc8-3b8e52c5761b.jpg","image_path":"\/sites\/default\/files\/2026\/11\/04\/ef19dd7c-ab63-4093-bbc8-3b8e52c5761b.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/11\/04\/ef19dd7c-ab63-4093-bbc8-3b8e52c5761b.jpg","mime":"image\/jpeg","size":115040,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/11\/04\/ef19dd7c-ab63-4093-bbc8-3b8e52c5761b.jpg?itok=YfQ8eriM"}}},"media_ids":["681652"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"693755":{"#nid":"693755","#data":{"type":"event","title":"ISYE Statistics Seminar - Mo Zhou (University of Washington)","body":[{"value":"\u003Ch2\u003E\u003Cstrong\u003ELearning Orthogonal Multi-Index Models BeyondSmall Initialization: Incremental Learning, Competitive Dynamics and Symmetry\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003ERecent work has identified incremental learning in shallow networks trained on single-index and multi-index models. However, existing analyses often rely on simplifying settings, such as small initialization, correlation loss, or layer-wise training. These choices reduce neuron interactions and leave some feature learning dynamics under standard initialization unexplored. We study training dynamics for polynomial-width two-layer networks learning orthogonal multi-index targets under standard initialization using polynomially many samples. We first prove that incremental learning still occurs: the loss decreases sequentially according to the Hermite expansion of the target, with lower-order components learned before higher-order components recover the individual target directions. In this standard initialization regime, training also shows a competitive reallocation of parameter mass: after the total mass fits the target mean and stabilizes, mass shifts into the target subspace and then concentrates on aligned neurons. Our theoretical analysis uses slightly modified gradient flow, while vanilla gradient descent empirically exhibits the same qualitative dynamics. Technically, we introduce a symmetry-based finite-width approximation via symmetrized networks, rather than comparing directly with an infinite-width limit. This yields better control of approximation errors and may be of independent interest.\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EMo Zhou is currently a postdoctoral researcher at the Paul G. Allen School of Computer Science \u0026amp; Engineering at the University of Washington, working with Simon Du and Maryam Fazel. He received his Ph.D. from Duke University, where he was advised by Rong Ge. His research focuses on the mathematical foundations of machine learning, particularly the training dynamics and optimization of neural networks.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ELearning Orthogonal Multi-Index Models Beyond Small Initialization: Incremental Learning, Competitive Dynamics and Symmetry\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Learning Orthogonal Multi-Index Models Beyond Small Initialization: Incremental Learning, Competitive Dynamics and Symmetry"}],"uid":"36873","created_gmt":"2026-11-04 13:41:50","changed_gmt":"2026-11-04 13:43:30","author":"csheppard39","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-10T11:00:00-05:00","event_time_end":"2026-11-10T12:00:00-05:00","event_time_end_last":"2026-11-10T12:00:00-05:00","gmt_time_start":"2026-11-10 16:00:00","gmt_time_end":"2026-11-10 17:00:00","gmt_time_end_last":"2026-11-10 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 1202","extras":[],"hg_media":{"681651":{"id":"681651","type":"image","title":"mozhou-1.jpg","body":null,"created":"1793799767","gmt_created":"2026-11-04 13:42:47","changed":"1793799767","gmt_changed":"2026-11-04 13:42:47","alt":"Mo Zhou","file":{"fid":"266083","name":"mozhou-1.jpg","image_path":"\/sites\/default\/files\/2026\/11\/04\/mozhou-1.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/11\/04\/mozhou-1.jpg","mime":"image\/jpeg","size":429701,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/11\/04\/mozhou-1.jpg?itok=AUwDksaY"}}},"media_ids":["681651"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"693631":{"#nid":"693631","#data":{"type":"event","title":"The CAPHI Connect Webinar Series: Environmental and Ecological Health","body":[{"value":"\u003Cp\u003EThe \u003Ca href=\u0022https:\/\/communityhealth.research.gatech.edu\/\u0022 rel=\u0022home\u0022\u003ECommunity and Population Health Initiative\u003C\/a\u003E (CAPHI) Connect Webinar on \u003Cstrong\u003EEnvironmental and Ecological Health\u003C\/strong\u003E features a panel of Georgia Tech researchers who will share the key questions driving their work in environmental and ecological health, the tools and methods they use to answer them, and opportunities for research and interdisciplinary collaboration across the GT research community. The panelists include:\u003C\/p\u003E\u003Cul\u003E\u003Cli data-list-item-id=\u0022e8c6a87c7b2c95ef1f60b9e598ee6e350\u0022\u003E\u003Ca href=\u0022https:\/\/liu.eas.gatech.edu\/dr-liu\/\u0022\u003EDr. Pengfei Liu\u003C\/a\u003E - Associate Professor, School of Earth \u0026amp; Atmospheric Sciences at Georgia Tech, studying air pollution, wildfire smoke, and their effects on climate and human health.\u003C\/li\u003E\u003Cli data-list-item-id=\u0022ecfa5373192658739f3a5702cce11299c\u0022\u003E\u003Ca href=\u0022https:\/\/ce.gatech.edu\/directory\/person\/katherine-graham\u0022\u003EDr. Katherine Graham\u003C\/a\u003E - Assistant Professor, School of Civil \u0026amp; Environmental Engineering at Georgia Tech, researching water, climate, and health, including how pathogens spread through water systems.\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e56e29d645f40b0537b144a8e1e66b291\u0022\u003E\u003Ca href=\u0022https:\/\/people.research.gatech.edu\/jenny-mcguire\u0022\u003EDr. Jenny McGuire\u003C\/a\u003E - Associate Professor, School of Earth \u0026amp; Atmospheric Sciences at Georgia Tech, studying how climate change reshapes biodiversity and how species and ecosystems adapt.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/events.teams.microsoft.com\/event\/8a7a5915-8361-42c6-a1a3-011c2e8fa510@482198bb-ae7b-4b25-8b7a-6d7f32faa083?source=copyLinkLegacyShareEventDialog\u0022\u003ERegister Online to attend via Microsoft Teams\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe Community and Population Health Initiative (CAPHI) at Georgia Tech invites you to join the CAPHI Connect Webinar Series.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The Community and Population Health Initiative (CAPHI) at Georgia Tech invites you to join the CAPHI Connect Webinar Series.  "}],"uid":"27233","created_gmt":"2026-10-29 18:47:39","changed_gmt":"2026-10-29 20:20:03","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-09T15:00:00-05:00","event_time_end":"2026-11-09T16:00:00-05:00","event_time_end_last":"2026-11-09T16:00:00-05:00","gmt_time_start":"2026-11-09 20:00:00","gmt_time_end":"2026-11-09 21:00:00","gmt_time_end_last":"2026-11-09 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Register to attend on Microsoft Teams","extras":[],"hg_media":{"681599":{"id":"681599","type":"image","title":"CAPHI-Connect-Webinar.png","body":null,"created":"1793299775","gmt_created":"2026-10-29 18:49:35","changed":"1793299775","gmt_changed":"2026-10-29 18:49:35","alt":"CAPHI Connect Webinar Series: Environmental and Ecological Health flyer","file":{"fid":"266025","name":"CAPHI-Connect-Webinar.png","image_path":"\/sites\/default\/files\/2026\/10\/29\/CAPHI-Connect-Webinar_0.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/10\/29\/CAPHI-Connect-Webinar_0.png","mime":"image\/png","size":1590668,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/10\/29\/CAPHI-Connect-Webinar_0.png?itok=JrGOIMO_"}}},"media_ids":["681599"],"related_links":[{"url":"https:\/\/communityhealth.research.gatech.edu\/","title":"About Georgia Tech\u0027s Community and Population Health Initiative"}],"groups":[{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"195053","name":"Community and Population Health Initiative"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194683","name":"Talk"},{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDr. Arthi Rao (\u003Ca href=\u0022mailto:arthir@gatech.edu\u0022\u003Earthir@gatech.edu)\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"693480":{"#nid":"693480","#data":{"type":"event","title":"XR Bytes Seminar: Nadia Fereydooni (ADC XR Makerspace)","body":[{"value":"\u003Ch2\u003ESpeaker: Nadia Fereydooni\u003Cbr\u003E\u0026nbsp;\u003C\/h2\u003E\u003Ch3\u003ESeminar Title\u003C\/h3\u003E\u003Cp\u003EFrom Virtual to Operational: XR Applications in Aviation\u003C\/p\u003E\u003Ch3\u003EAffiliation\u003C\/h3\u003E\u003Cp\u003EDelta Innovation\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\u003EFrom Virtual to Operational: XR Applications in Aviation\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"From Virtual to Operational: XR Applications in Aviation"}],"uid":"27764","created_gmt":"2026-10-26 16:01:34","changed_gmt":"2026-10-26 16:05:48","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-06T14:00:00-05:00","event_time_end":"2026-11-06T15:00:00-05:00","event_time_end_last":"2026-11-06T15:00:00-05:00","gmt_time_start":"2026-11-06 19:00:00","gmt_time_end":"2026-11-06 20:00:00","gmt_time_end_last":"2026-11-06 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 1502","extras":[],"hg_media":{"681554":{"id":"681554","type":"image","title":"XR-Bytes Nadia Fereydooni Seminar","body":null,"created":"1793030623","gmt_created":"2026-10-26 16:03:43","changed":"1793030623","gmt_changed":"2026-10-26 16:03:43","alt":"XR-Bytes Nadia Fereydooni Seminar","file":{"fid":"265975","name":"XR-Bytes_-Nadia-Fereydooni-Seminar.png","image_path":"\/sites\/default\/files\/2026\/10\/26\/XR-Bytes_-Nadia-Fereydooni-Seminar.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/10\/26\/XR-Bytes_-Nadia-Fereydooni-Seminar.png","mime":"image\/png","size":1735678,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/10\/26\/XR-Bytes_-Nadia-Fereydooni-Seminar.png?itok=pGT71SQu"}}},"media_ids":["681554"],"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":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"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":"2026-10-21 16:21:51","author":"Scott Jacobson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-13T12:30:00-05:00","event_time_end":"2026-11-13T13:30:00-05:00","event_time_end_last":"2026-11-13T13:30:00-05:00","gmt_time_start":"2026-11-13 17:30:00","gmt_time_end":"2026-11-13 18:30:00","gmt_time_end_last":"2026-11-13 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":""}},"693320":{"#nid":"693320","#data":{"type":"event","title":"ISyE Quantum Seminar Series - Soumyadip Ghosh (IBM Research)","body":[{"value":"\u003Ch2\u003E\u003Cstrong\u003EQuantum Hamiltonian Monte Carlo Sampling for Optimization\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EMonte carlo sampling algorithms have seen a resurgence in interest as a technique to efficiently generate good candidate solutions to non-linear optimization problems.\u003Cbr\u003EThe Hamiltonian Markov chain Monte Carlo (HMC) algorithm is a good fit for this task because it enjoys mixing rates that are by its design robust to factors that can confound other MCMC methods.\u003Cbr\u003EA key paradigm to view quantum computing for optimization also treats it as a sampler of good candidate solutions. Existing quantum methodology shows that classical Markov chain methods (on discrete state spaces) enjoy a speed up in their mixing times when quantized. We construct a quantization scheme for HMC that extends this result while preserving its classical robustness. We sketch early results on applying this technique to the convex body volume estimation problem.\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003ESoumyadip Ghosh is a member of IBM Research in the Algorithms and Applications group at Yorktown Heights. His research focuses on stochastic optimization and decision making under uncertainty, with a recent focus on constructing efficient hybrid quantum classical algorithms with applications to optimization formulations that arise in finance, insurance and healthcare. He has worked previously on smarter grid and energy analytics, cloud infrastructure, and supply chain management. He is an associate editor of Stochastic Models and has served as a committee member for INFORMS \/ WSC.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EQuantum Hamiltonian Monte Carlo Sampling for Optimization\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Quantum Hamiltonian Monte Carlo Sampling for Optimization"}],"uid":"36458","created_gmt":"2026-10-20 15:06:15","changed_gmt":"2026-10-20 17:14:40","author":"mellis74","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-30T15:30:00-05:00","event_time_end":"2026-11-30T16:30:00-05:00","event_time_end_last":"2026-11-30T16:30:00-05:00","gmt_time_start":"2026-11-30 20:30:00","gmt_time_end":"2026-11-30 21:30:00","gmt_time_end_last":"2026-11-30 21:30:00","rrule":null,"timezone":"America\/New_York"},"location":"George Tower 1502","extras":[],"hg_media":{"681485":{"id":"681485","type":"image","title":"Soumyadip Ghosh","body":null,"created":"1792509049","gmt_created":"2026-10-20 15:10:49","changed":"1792509049","gmt_changed":"2026-10-20 15:10:49","alt":"Soumyadip Ghosh","file":{"fid":"265895","name":"ghosh-14429.jpeg","image_path":"\/sites\/default\/files\/2026\/10\/20\/ghosh-14429_0.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/10\/20\/ghosh-14429_0.jpeg","mime":"image\/jpeg","size":21907,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/10\/20\/ghosh-14429_0.jpeg?itok=yV4odzg3"}}},"media_ids":["681485"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate 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":""}},"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. 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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. 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