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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. 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Early Summer, and Full Summer Sessions.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"First day of classes for Maymester, Early Summer, and Full Summer Sessions."}],"uid":"27469","created_gmt":"2026-05-11 12:58:45","changed_gmt":"2026-05-11 12:59:44","author":"Kristen Bailey","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-05-18T00:00:00-04:00","event_time_end":"2026-05-18T23:59:59-04:00","event_time_end_last":"2026-05-18T23:59:59-04:00","gmt_time_start":"2026-05-18 04:00:00","gmt_time_end":"2026-05-19 03:59:59","gmt_time_end_last":"2026-05-19 03:59:59","rrule":null,"timezone":"America\/New_York"},"location":"Georgia Tech Campus","extras":[],"related_links":[{"url":"http:\/\/registrar.gatech.edu\/","title":"Office of the Registrar"}],"groups":[{"id":"253201","name":"Academic 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Campus is closed and classes will not meet.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ECampus will close to observe the Memorial Day holiday. Classes will not meet.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Campus will close to observe the Memorial Day holiday. Classes will not meet."}],"uid":"27469","created_gmt":"2025-09-18 12:59:47","changed_gmt":"2026-05-07 13:37:42","author":"Kristen Bailey","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-05-25T00:00:00-04:00","event_time_end":"2026-05-25T23:59:59-04:00","event_time_end_last":"2026-05-25T23:59:59-04:00","gmt_time_start":"2026-05-25 04:00:00","gmt_time_end":"2026-05-26 03:59:59","gmt_time_end_last":"2026-05-26 03:59:59","rrule":null,"timezone":"America\/New_York"},"extras":[],"related_links":[{"url":"http:\/\/registrar.gatech.edu\/","title":"Office of the Registrar"}],"groups":[{"id":"253201","name":"Academic Calendar"},{"id":"253221","name":"Institute Holidays"},{"id":"253211","name":"Religious and National Observances"}],"categories":[],"keywords":[{"id":"15356","name":"holidays"},{"id":"79551","name":"observances"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:comments@registrar.gatech.edu\u0022\u003Ecomments@registrar.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"685054":{"#nid":"685054","#data":{"type":"event","title":"Reading Period: Spring 2026","body":[{"value":"\u003Cp\u003ENo exams between 8 a.m. - 2:40 p.m.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ENo exams between 8 a.m. - 2:40 p.m.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"No exams between 8 a.m. - 2:40 p.m. "}],"uid":"27469","created_gmt":"2025-09-18 13:43:25","changed_gmt":"2026-04-29 15:52:45","author":"Kristen Bailey","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-05-05T08:00:00-04:00","event_time_end":"2026-05-05T14:40:00-04:00","event_time_end_last":"2026-05-05T14:40:00-04:00","gmt_time_start":"2026-05-05 12:00:00","gmt_time_end":"2026-05-05 18:40:00","gmt_time_end_last":"2026-05-05 18:40:00","rrule":null,"timezone":"America\/New_York"},"location":"Georgia Tech Campus","extras":[],"related_links":[{"url":"https:\/\/registrar.gatech.edu\/current-academic-calendar","title":"Academic Calendar"}],"groups":[{"id":"253201","name":"Academic Calendar"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"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:comments@registrar.gatech.edu\u0022\u003Ecomments@registrar.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"689786":{"#nid":"689786","#data":{"type":"event","title":"CHHS Webinar Series: \u0022Infectious Disease Forecasting with Digital Data Streams: Comparing AI Transformers with Classical Statistical Methods\u0022","body":[{"value":"\u003Cp\u003EAccurate and timely forecasting of infectious diseases is critical for public health decision-making. Over the past decade, digital data streams such as internet search queries, electronic health records, and pharmacy sales data have emerged as powerful supplements to traditional surveillance systems.\u003C\/p\u003E\u003Cp\u003EThis seminar presents a synthesis of research focused on leveraging these data sources for infectious disease prediction, spanning from classical statistical approaches to modern AI architectures.\u003C\/p\u003E\u003Ch3\u003EKey Areas of Discussion:\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EStatistical Methodologies:\u003C\/strong\u003E The presentation covers a family of models that combine autoregressive time series structure with penalized regression on Google search data. This includes extensions to spatial-temporal modeling, multi-disease settings, and COVID-19 adaptation.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EAI Architectures:\u003C\/strong\u003E Recent work on attention-based transformer architectures for time series forecasting will be discussed, highlighting methods for multivariate dependency modeling, in-context learning, and efficient linear attention.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EPractical Application:\u003C\/strong\u003E Drawing from ongoing participation in the CDC FluSight forecasting initiative, the session compares the strengths and limitations of both paradigms and shares practical lessons learned from real-time deployment.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EThe talk aims to offer perspective on when and how statistical rigor and deep learning flexibility each contribute to reliable disease forecasting.\u003C\/p\u003E\u003Ch3\u003EAbout the Speaker\u003C\/h3\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/users\/shihao-yang\u0022\u003E\u003Cstrong\u003EDr. Shihao Yang\u003C\/strong\u003E\u003C\/a\u003E is a Harold E. Smalley Early Career Professor and Assistant Professor in the School of Industrial and Systems Engineering at Georgia Tech. He completed his PhD in statistics and post-doc in Biomedical Informatics at Harvard University. Dr. Yang\u2019s research focuses on data science, with special interest in time series, dynamical systems, and applications in infectious disease transmission forecasting.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/gatech.zoom.us\/webinar\/register\/WN_rGkOsJm9QLq2T4KXVZ1Mcw#\/registration\u0022\u003ETo attend, please register online via Zoom\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EMove beyond slow, traditional reporting and explore how modern AI uses everyday data, like internet queries and sales records, to forecast outbreaks in real-time. We will trace the evolution of disease tracking as it shifts from \u0022old school\u0022 statistics to the cutting-edge AI architectures currently protecting our communities. Join us to see how these high-tech tools empower public health leaders to make faster, smarter decisions when every second counts.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Move beyond slow, traditional reporting and explore how modern AI uses everyday data, like internet queries and sales records, to forecast outbreaks in real-time."}],"uid":"27233","created_gmt":"2026-04-16 12:25:40","changed_gmt":"2026-04-29 11:41:02","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-05-04T10:00:00-04:00","event_time_end":"2026-05-04T11:00:00-04:00","event_time_end_last":"2026-05-04T11:00:00-04:00","gmt_time_start":"2026-05-04 14:00:00","gmt_time_end":"2026-05-04 15:00:00","gmt_time_end_last":"2026-05-04 15:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"680089":{"id":"680089","type":"image","title":"Infectious Disease Forecasting Webinar","body":null,"created":"1777462804","gmt_created":"2026-04-29 11:40:04","changed":"1777462804","gmt_changed":"2026-04-29 11:40:04","alt":"CHHS Webinar Series: \u0022Infectious Disease Forecasting with Digital Data Streams: Comparing AI Transformers with Classical Statistical Methods\u0022","file":{"fid":"264328","name":"20260504_CHHS_webinar_v2.jpg","image_path":"\/sites\/default\/files\/2026\/04\/29\/20260504_CHHS_webinar_v2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/04\/29\/20260504_CHHS_webinar_v2.jpg","mime":"image\/jpeg","size":144751,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/04\/29\/20260504_CHHS_webinar_v2.jpg?itok=PMmXEhB9"}}},"media_ids":["680089"],"related_files":{"264196":{"fid":"264196","name":"CHHS Webinar Series flyer: \u0022Infectious Disease Forecasting with Digital Data Streams: Comparing AI Transformers with Classical Statistical Methods\u0022","file_path":"\/sites\/default\/files\/documents\/2026-04\/GTCHHS-WebinarSeries_ShihaoYang_20260504.pdf","file_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/documents\/2026-04\/GTCHHS-WebinarSeries_ShihaoYang_20260504.pdf","mime":"application\/pdf","description":""}},"related_links":[{"url":"https:\/\/gatech.zoom.us\/webinar\/register\/WN_rGkOsJm9QLq2T4KXVZ1Mcw","title":"To attend, please register online via Zoom"},{"url":"https:\/\/chhs.gatech.edu\/sites\/default\/files\/downloads\/GTCHHS-WebinarSeries_ShihaoYang_20260504.pdf","title":"Download the seminar flyer"}],"groups":[{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194684","name":"Free"},{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"689935":{"#nid":"689935","#data":{"type":"event","title":"Generative AI Application for Supply Chain Professionals Workshop","body":[{"value":"\u003Cp\u003EJoin the \u003Ca href=\u0022https:\/\/gamep.org\/\u0022\u003EGeorgia Manufacturing Extension Partnership\u003C\/a\u003E (GaMEP) at Georgia Tech, \u003Ca href=\u0022https:\/\/georgiaaim.org\/\u0022\u003EGeorgia AIM\u003C\/a\u003E, and the \u003Ca href=\u0022https:\/\/www.scl.gatech.edu\u0022\u003EGeorgia Tech Supply Chain and Logistics Institute\u003C\/a\u003E for a workshop showcasing how artificial intelligence (AI) can optimize supply chain efficiency.\u003C\/p\u003E\u003Cp\u003EParticipants will be introduced to generative AI fundamentals, prompt engineering, and practical applications such as automated inventory systems, predictive maintenance, and route optimization. The workshop will also cover ethical AI use, good and bad uses of generative AI (GenAI), and rapidly emerging use cases. By the end of the session, participants will have a better understanding of how to begin applying AI to enhance supply chain processes and drive success within their organizations.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EEvent includes networking, presentation, light bites, beverages, and Q\u0026amp;A.\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003EFeaturing \u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/users\/james-gaffney\u0022\u003EChris Gaffney\u003C\/a\u003E, Managing Director of the Supply Chain and Logistics Institute (SCL), Academic Program Director for Georgia Tech Professional Education, and Edenfield Executive-in-Residence and a Professor of the Practice in the \u003Ca href=\u0022https:\/\/www.isye.gatech.edu\u0022\u003EH. Milton Stewart School of Industrial and Systems Engineering\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.eventbrite.com\/e\/generative-ai-application-for-supply-chain-professionals-tickets-1987832219680?aff=oddtdtcreator\u0026amp;amp;keep_tld=true#location\u0022\u003ERegister via Eventbrite to attend the event\u003C\/a\u003E taking place at the Georgia Tech Atrium (147 Technology Parkway Northwest, Peachtree Corners, GA 30092), the first-of-its-kind professional, academic, and research innovation space within Curiosity Lab\u2019s state-of-the-art Innovation Center.\u003C\/p\u003E\u003Cp\u003E\u003Ca target=\u0022_blank\u0022\u003E\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJoin the Georgia Manufacturing Extension Partnership (GaMEP) at Georgia Tech, Georgia AIM, and the Georgia Tech Supply Chain and Logistics Institute for a workshop showcasing how artificial intelligence (AI) can optimize supply chain efficiency.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Join the Georgia Manufacturing Extension Partnership (GaMEP) at Georgia Tech, Georgia AIM, and the Georgia Tech Supply Chain and Logistics Institute for a workshop showcasing how artificial intelligence (AI) can optimize supply chain efficiency."}],"uid":"27233","created_gmt":"2026-04-21 18:04:39","changed_gmt":"2026-04-21 19:04:37","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-05-21T09:00:00-04:00","event_time_end":"2026-05-21T11:00:00-04:00","event_time_end_last":"2026-05-21T11:00:00-04:00","gmt_time_start":"2026-05-21 13:00:00","gmt_time_end":"2026-05-21 15:00:00","gmt_time_end_last":"2026-05-21 15:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Peachtree Corners, GA","extras":[],"hg_media":{"680016":{"id":"680016","type":"image","title":"Generative AI Application for Supply Chain Professionals Workshop","body":null,"created":"1776794588","gmt_created":"2026-04-21 18:03:08","changed":"1776794637","gmt_changed":"2026-04-21 18:03:57","alt":"Generative AI Application for Supply Chain Professionals Workshop May 21, 2026 at Peachtree Corners, GA from 9-11am ET","file":{"fid":"264249","name":"GeorgiaTech-Generative-AI-for-Supply-Chain-Event_20260521.png","image_path":"\/sites\/default\/files\/2026\/04\/21\/GeorgiaTech-Generative-AI-for-Supply-Chain-Event_20260521.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/04\/21\/GeorgiaTech-Generative-AI-for-Supply-Chain-Event_20260521.png","mime":"image\/png","size":501535,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/04\/21\/GeorgiaTech-Generative-AI-for-Supply-Chain-Event_20260521.png?itok=GNZ-Mwcw"}}},"media_ids":["680016"],"related_links":[{"url":"https:\/\/www.eventbrite.com\/e\/generative-ai-application-for-supply-chain-professionals-tickets-1987832219680?aff=oddtdtcreator\u0026keep_tld=true#location","title":"Register via Eventbrite"},{"url":"https:\/\/gamep.org\/event\/generative-ai-application-for-supply-chain-professionals\/","title":"Event Listing at Georgia Manufacturing Extension Partnership 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":"186857","name":"go-gtmi"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194682","name":"Workshop"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"689906":{"#nid":"689906","#data":{"type":"event","title":"SCL Lunch and Learn: \u0022Ahead of the Curve: Turning Analysis Into Executable Decisions\u0022","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EThursday, June 4, 2026 | 12-1pm ET on Zoom\u003C\/strong\u003E\u003C\/p\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003EMost organizations are investing in analytics, optimization, and AI, yet the hardest part still shows up in the same place: turning output into a decision that survives cross-functional scrutiny and actually gets executed. In this Lunch and Learn, we will unpack the most common failure points we see in mid- and long-term supply chain infrastructure decisions\u2014problem framing, assumption blind spots, business case gaps, and weak decision storytelling\u2014and provide a clear view of how a decision engineering approach closes that gap. You will leave with a sharper sense of what is holding your decisions back, what \u201cgood\u201d looks like, and whether your team has the skills and structure to operate ahead of the curve. We will also share how the Georgia Tech Supply Chain and Logistics Institute\u2019s 3-day practitioner program is designed to build these capabilities through hands-on work and a real-world case.\u003C\/p\u003E\u003Cp\u003EFeaturing Chris Gaffney, Managing Director of SCL and Academic Program Director in GTPE and Edenfield Executive-in-Residence. He was most recently VP of Global Strategic Supply Chain at The Coca-Cola Company. During his 25-year tenure with Coca-Cola, Chris held multiple leadership roles including President of Coca-Cola Supply, SVP Product Supply System Strategy, VP of System Transformation, and VP of Logistics for North America. Chris also served as President of the National Product Supply Group; a governing body responsible for 95% of volume produced in North America. Following his retirement from Coca-Cola in 2020, he assumed the role of Principal at ECG and partner at EDGE Supply Chain, providing advice and consulting in the Supply Chain space. Gaffney has extensive experience in Consumer Products Supply Chain, Supply Chain Strategy \u0026amp; Transformation, Footprint Design \u0026amp; Network Optimization, Supply Chain Operating Model and Capability Building and Logistics and Supply Chain Planning.\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/gatech.zoom.us\/webinar\/register\/2717757589843\/WN_EoKldUi8Q1-d6iy3a0ud-g\u0022\u003E\u003Cstrong\u003ERegister Online to Attend\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJoin SCL Managing Director Chris Gaffney to learn how to transform data output into executable supply chain decisions that drive results. 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It is critical to manage safety, quality and efficiency. Learn to leverage the lean supply chain modifications to improve customer responsiveness and reduce operating costs and in doing so contributing to a supply chain that creates a competitive advantage for a company. To accomplish this goal, we must bring lean principles into the warehouse and distribution center.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ESupply chain professionals, logistics professionals, material managers, production control managers, transportation managers, warehousing managers and purchasing managers\u003C\/p\u003E\u003Ch4\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h4\u003E\u003Cp\u003E\u003Cstrong\u003EUpon completion of this course, you will be able to:\u003C\/strong\u003E\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EIsolate the key elements of lean thinking to be used in the warehouse\u003C\/li\u003E\u003Cli\u003EValue stream map warehouse operations\u003C\/li\u003E\u003Cli\u003EUtilize lean tools to reduce waste in the warehouse\u003C\/li\u003E\u003Cli\u003ECreate a warehouse operation based on visual management and real time problem solving\u003C\/li\u003E\u003Cli\u003EReduce inventories in warehouse operations\u003C\/li\u003E\u003Cli\u003ECreate collaboration between warehousing and other functional areas\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Cstrong\u003EBenefits:\u003C\/strong\u003E\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EReduce inventories in the warehouse\u003C\/li\u003E\u003Cli\u003EReduce warehousing costs by as much as 25%\u003C\/li\u003E\u003Cli\u003EImplement lean in the warehouse\u003C\/li\u003E\u003Cli\u003ECreate logistics collaboration between warehousing and other functional areas\u003C\/li\u003E\u003C\/ul\u003E\u003Ch4\u003E\u003Cstrong\u003EWhat is Covered\u003C\/strong\u003E\u003C\/h4\u003E\u003Cul\u003E\u003Cli\u003ELean Warehouse Overview\u003C\/li\u003E\u003Cli\u003ESupply Chain Implementation Framework\u003C\/li\u003E\u003Cli\u003ELean Storage Planning Approach\u003C\/li\u003E\u003Cli\u003EApplication of a Lean Storage Location Sizing Method\u003C\/li\u003E\u003Cli\u003EJIT Implementation Approach\u003C\/li\u003E\u003Cli\u003EHow To Develop Standard Work Batches\u003C\/li\u003E\u003Cli\u003EGeneration of an Operational Diagram\u003C\/li\u003E\u003Cli\u003ECreation of a Daily Operational Work Load Plan\u003C\/li\u003E\u003Cli\u003EDevelopment of a Progress Control Board\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis course will demonstrate how warehouse operations are a key enabler to a successful supply chain implementation and the starting point for a transformation. It is critical to manage safety, quality and efficiency. Learn to leverage the lean supply chain modifications to improve customer responsiveness and reduce operating costs and in doing so contributing to a supply chain that creates a competitive advantage for a company. To accomplish this goal, we must bring lean principles into the warehouse and distribution center.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Learn how warehouse operations are a key enabler to a successful supply chain implementation and the starting point for a transformation."}],"uid":"27233","created_gmt":"2025-05-23 21:14:12","changed_gmt":"2026-04-20 12:33:16","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-05-05T09:00:00-04:00","event_time_end":"2026-05-07T17:00:00-04:00","event_time_end_last":"2026-05-07T17:00:00-04:00","gmt_time_start":"2026-05-05 13:00:00","gmt_time_end":"2026-05-07 21:00:00","gmt_time_end_last":"2026-05-07 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Onsite\/In-Person","extras":[],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/leanwh","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":"1676","name":"lean"},{"id":"6140","name":"warehousing"},{"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":""}},"633675":{"#nid":"633675","#data":{"type":"event","title":"(CANCELED) SCL Course: Engineering the Warehouse","body":[{"value":"\u003Ch4\u003ECOURSE DESCRIPTION\u003C\/h4\u003E\u003Cp\u003EThe requirement for high levels of customer service, increasing numbers of SKUs and high labor costs have dramatically increased the complexity of warehouse operations. It is no longer sufficient to manage a warehouse based on a simple, arbitrary \u201cABC\u201d classification of SKUs, which treats all those in a category as if they were identical. Instead, each decision \u2013 such as where to store or where to pick product \u2013 must be based on careful engineering and economic analysis. Each SKU must identify its own cheapest, fastest path through the warehouse to the customer and then compete with all the other SKUs for the necessary resources. This results in warehouse operations that are finely tuned to patterns of customer orders and maximally efficient. Learn the concepts necessary to address modern warehouse trade-offs between space and time in optimizing and managing your warehouse.\u003C\/p\u003E\u003Cp\u003EEssential learning for those who are seeking cost reductions through better handling methods. Also valuable for those who must replace, upgrade, or add material handling equipment.\u0026nbsp;The two-day course will include case examples and a guided exercise to ensure mastery of the techniques presented.\u003C\/p\u003E\u003Ch4\u003EWHO SHOULD ATTEND\u003C\/h4\u003E\u003Cp\u003ESupply chain and logistics consultants, supply chain engineers and analysts, facility engineers, and warehouse supervisors and team leaders\u003C\/p\u003E\u003Ch4\u003EHOW YOU WILL BENEFIT\u003C\/h4\u003E\u003Cp\u003E\u003Cstrong\u003EUpon completion of this course, you will be able to:\u003C\/strong\u003E\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EExchange space for time (or vice versa) to better meet business objectives\u003C\/li\u003E\u003Cli\u003EUnderstand when to use dedicated storage and when to use shared storage\u003C\/li\u003E\u003Cli\u003EIdentify the most convenient locations in a warehouse based on an economic model\u003C\/li\u003E\u003Cli\u003EIdentify patterns in customer orders and exploit these to speed fulfillment\u003C\/li\u003E\u003Cli\u003EEvaluate warehouse performance\u003C\/li\u003E\u003Cli\u003EOptimally size and stock a forward pick area\u003C\/li\u003E\u003Cli\u003EUnderstand the best practices in order-picking\u003C\/li\u003E\u003Cli\u003EUnderstand how to think about automation\u003C\/li\u003E\u003Cli\u003EEvaluate and choose a Warehouse Management System and survive the installation\u003C\/li\u003E\u003C\/ul\u003E\u003Ch4\u003EWHAT IS COVERED\u003C\/h4\u003E\u003Cul\u003E\u003Cli\u003EManagement of warehouse fundamentals: Space and time (labor hours)\u003C\/li\u003E\u003Cli\u003EStorage policies: Dedicated and shared and their use\u003C\/li\u003E\u003Cli\u003EWarehouse analytics: How to discover opportunities for improvement through data-mining\u003C\/li\u003E\u003Cli\u003EPallet operations and layout\u003C\/li\u003E\u003Cli\u003EHow to size and stock a forward area for split-pallet picks\u003C\/li\u003E\u003Cli\u003EHow to size and stock a forward area for split-case picks\u003C\/li\u003E\u003Cli\u003EOrder-picking in high-volume and in low-volume environments\u003C\/li\u003E\u003Cli\u003EBenchmarking warehouse performance\u003C\/li\u003E\u003Cli\u003EMaintaining inventory accuracy\u003C\/li\u003E\u003Cli\u003EWarehouse management systems\u003C\/li\u003E\u003Cli\u003EIssues and trends in automation\u003C\/li\u003E\u003C\/ul\u003E\u003Ch4\u003ECOURSE MATERIALS\u003C\/h4\u003E\u003Cp\u003EParticipants receive a course notebook.\u003C\/p\u003E\u003Ch4\u003ECOURSE PREREQUISITES\u003C\/h4\u003E\u003Cp\u003ENone.\u003C\/p\u003E\u003Ch4\u003ECERTIFICATE INFORMATION\u003C\/h4\u003E\u003Cp\u003EThis course is part of the \u003Ca href=\u0022https:\/\/www.scl.gatech.edu\/education\/professional-education\/courses#SCM\u0022\u003ESupply Chain Management (SCM) Certificate\u003C\/a\u003E.\u003C\/p\u003E\u003Ch4\u003EPROGRAM TIMES\u003C\/h4\u003E\u003Cp\u003EOn the first day, please check in at least 30 minutes before the class start time.\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EFirst Day - 8:30am\u0026nbsp;to\u0026nbsp;5:00pm\u003C\/li\u003E\u003Cli\u003ESecond Day -\u0026nbsp;8:30am\u0026nbsp;to\u0026nbsp;5:00pm\u003C\/li\u003E\u003Cli\u003EThird Day -\u0026nbsp;8:30am\u0026nbsp;to\u0026nbsp;4:00pm\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe requirement for high levels of customer service, increasing numbers of SKUs and high labor costs have dramatically increased the complexity of warehouse operations. It is no longer sufficient to manage a warehouse based on a simple, arbitrary \u0026ldquo;ABC\u0026rdquo; classification of SKUs, which treats all those in a category as if they were identical. Instead, each decision \u0026ndash; such as where to store or where to pick product \u0026ndash; must be based on careful engineering and economic analysis.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Learn the concepts necessary to address modern warehouse trade-offs between space and time in optimizing and managing your warehouse."}],"uid":"27233","created_gmt":"2020-03-19 13:23:53","changed_gmt":"2026-04-20 12:32:39","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-11-03T08:00:00-05:00","event_time_end":"2020-11-05T17:00:00-05:00","event_time_end_last":"2020-11-05T17:00:00-05:00","gmt_time_start":"2020-11-03 13:00:00","gmt_time_end":"2020-11-05 22:00:00","gmt_time_end_last":"2020-11-05 22:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/engwh","title":"Course webpage within the SCL website"},{"url":"http:\/\/www.pe.gatech.edu\/courses\/engineering-warehouse","title":"Course registration page"},{"url":"https:\/\/www.scl.gatech.edu\/sites\/default\/files\/downloads\/gtscl-engwhbrochure.pdf","title":"Course Flyer"}],"groups":[{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"3843","name":"distribution"},{"id":"168044","name":"sourcing"},{"id":"168","name":"Transportation"}],"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":""}},"627297":{"#nid":"627297","#data":{"type":"event","title":"(CANCELED) SCL Course: Principles of Transportation Management","body":[{"value":"\u003Ch4\u003E\u003Cstrong\u003ECOURSE DESCRIPTION\u003C\/strong\u003E\u003C\/h4\u003E\u003Cp\u003EThis course prepares students in the basics of transportation operations and analysis. \u0026nbsp;The course includes review of the key elements of transportation such as: modes of transportation, transportation procurement, cost minimization techniques, the role of ports in global logistics, and international trade terms. \u0026nbsp;The course also will discuss emerging trends in North American transportation markets, emerging techniques, and greenhouse gas emissions reduction.\u003C\/p\u003E\u003Ch4\u003E\u003Cstrong\u003EWHO SHOULD ATTEND\u003C\/strong\u003E\u003C\/h4\u003E\u003Cp\u003EThis course is designed for Supply Chain Managers, Distribution Managers, Transportation Planners, Transportation Clerks, Transportation Analysts, and Transportation Managers and learners seeking to enter these roles. \u0026nbsp;Supply chain professionals from other domains will also benefit through gaining insights into transportation operations.\u003C\/p\u003E\u003Ch4\u003E\u003Cstrong\u003EHOW YOU WILL BENEFIT\u003C\/strong\u003E\u003C\/h4\u003E\u003Cp\u003E\u003Cstrong\u003EUpon completion of this course, you will be able to:\u003C\/strong\u003E\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EUnderstand the characteristics and best use of specific transportation modes\u003C\/li\u003E\u003Cli\u003EApply transportation cost analysis techniques\u003C\/li\u003E\u003Cli\u003EUnderstand the multimodal role of ports in global trade\u003C\/li\u003E\u003Cli\u003EIdentify and apply best practices in transportation procurement\u003C\/li\u003E\u003Cli\u003EUnderstand how to minimize transportation costs through consolidation techniques\u003C\/li\u003E\u003Cli\u003EUnderstand the role of Incoterms in global trade\u003C\/li\u003E\u003Cli\u003EUnderstand emerging techniques in logistics including techniques to reduce greenhouse gas emissions in logistics\u003C\/li\u003E\u003C\/ul\u003E\u003Ch4\u003E\u003Cstrong\u003EWHAT IS COVERED\u003C\/strong\u003E\u003C\/h4\u003E\u003Cul\u003E\u003Cli\u003EComparison of characteristics of alternative transportation modes\u003C\/li\u003E\u003Cli\u003EComponents of Port Logistics systems\u003C\/li\u003E\u003Cli\u003EBest practices in transportation procurement\u003C\/li\u003E\u003Cli\u003EApplication of practical transportation cost analysis techniques\u003C\/li\u003E\u003Cli\u003EINCOTERMS purpose, types, and use\u003C\/li\u003E\u003Cli\u003EGreenhouse gas emission generation in logistics and mitigation strategies\u003C\/li\u003E\u003Cli\u003ENew business models in logistics enabled by emerging technologies\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis course prepares students in the basics of transportation operations and analysis. \u0026nbsp;The course includes review of the key elements of transportation such as: modes of transportation, transportation procurement, cost minimization techniques, the role of ports in global logistics, and international trade terms. \u0026nbsp;The course also will discuss emerging trends in North American transportation markets, emerging techniques, and greenhouse gas emissions reduction.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"This course prepares students in the basics of transportation operations and analysis."}],"uid":"27233","created_gmt":"2019-10-08 13:57:10","changed_gmt":"2026-04-20 12:32:11","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-11-03T08:00:00-05:00","event_time_end":"2020-11-05T17:00:00-05:00","event_time_end_last":"2020-11-05T17:00:00-05:00","gmt_time_start":"2020-11-03 13:00:00","gmt_time_end":"2020-11-05 22:00:00","gmt_time_end_last":"2020-11-05 22:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/ptm","title":"Course webpage within the SCL website"},{"url":"https:\/\/pe.gatech.edu\/courses\/principles-transportation-management","title":"Course registration page"},{"url":"https:\/\/www.scl.gatech.edu\/outreach\/savannah","title":"SCL in Savannah"}],"groups":[{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"3843","name":"distribution"},{"id":"168044","name":"sourcing"},{"id":"168","name":"Transportation"}],"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":""}},"689583":{"#nid":"689583","#data":{"type":"event","title":"ISyE Seminar_Dr. Michael Garland - Building Tools For Tensor Programming.","body":[{"value":"\u003Cul\u003E\u003Cli\u003E\u003Ch3\u003ETitle:\u003C\/h3\u003E\u003Ch3\u003E\u003Cbr\u003E\u0026nbsp;Building Tools For Tensor Programming\u003C\/h3\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003C\/li\u003E\u003Cli\u003E\u003Ch3\u003EAbstract:\u003C\/h3\u003E\u003Cp\u003EMany of today\u0027s most important applications rely on high-performance manipulation of matrices, tensors, and general arrays of data. \u0026nbsp;The neural networks at the heart of AI language models are a prime example. \u0026nbsp;The AI software stack relies on kernels (e.g., for matrix-matrix product) that are specifically designed to deliver throughput close to the hardware\u0027s theoretical peak. \u0026nbsp;However, writing kernels that can deliver maximum performance is extremely challenging. \u0026nbsp;In this talk, I will discuss some of the work we have done to simplify the task of authoring such kernels. \u0026nbsp;This includes new abstractions to allow for algebraic manipulation of array layouts and new programming models for more easily expressing the kernels themselves.\u003C\/p\u003E\u003C\/li\u003E\u003Cli\u003E\u003Ch3\u003EBio:\u003C\/h3\u003E\u003Cp\u003EMichael Garland has been a researcher at NVIDIA since 2006. \u0026nbsp;He joined the company as one of the founding members of NVIDIA Research and is currently Senior Director of Programming Systems Research. \u0026nbsp;He leads a research group focused on developing technologies that will help programmers take advantage of modern high-performance machines. \u0026nbsp;Their work spans the software stack with a particular focus on parallel algorithms, programming languages, compilers and runtime systems, and low-level hardware\/software interfaces. \u0026nbsp;He and his team have both published numerous academic articles and contributed to many software packages in broad use by CUDA developers.\u003C\/p\u003E\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis talk highlights the critical role of high-performance kernels in enabling efficient matrix and tensor computations for modern AI applications, including language models. It discusses the challenges of achieving near-peak hardware performance and introduces new abstractions and programming models designed to simplify kernel development, particularly through more flexible array layout manipulation and clearer ways to express complex computations.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Dr. Michael Garland  - A talk on new abstractions and programming models that make it easier to write high-performance kernels for matrix and tensor computations in modern AI systems."}],"uid":"36458","created_gmt":"2026-04-09 12:46:52","changed_gmt":"2026-04-17 14:20:32","author":"mellis74","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-24T11:00:00-04:00","event_time_end":"2026-04-24T12:00:00-04:00","event_time_end_last":"2026-04-24T12:00:00-04:00","gmt_time_start":"2026-04-24 15:00:00","gmt_time_end":"2026-04-24 16:00:00","gmt_time_end_last":"2026-04-24 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose Executive Boardroom GC402","extras":["free_food"],"hg_media":{"679900":{"id":"679900","type":"image","title":"Michael Garland","body":null,"created":"1775739349","gmt_created":"2026-04-09 12:55:49","changed":"1775739349","gmt_changed":"2026-04-09 12:55:49","alt":"Michael Garland","file":{"fid":"264121","name":"Michael-Garland.jpg","image_path":"\/sites\/default\/files\/2026\/04\/09\/Michael-Garland.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/04\/09\/Michael-Garland.jpg","mime":"image\/jpeg","size":25226,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/04\/09\/Michael-Garland.jpg?itok=KSjtyW2s"}}},"media_ids":["679900"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194683","name":"Talk"},{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"194945","name":"Alumni"},{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"688547":{"#nid":"688547","#data":{"type":"event","title":"XR Bytes: Seok Joon Kim (ADC XR Makerspace)","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EXR Bytes\u003C\/strong\u003E\u0026nbsp;is a graduate-student-led initiative dedicated to\u0026nbsp;showcasing\u0026nbsp;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\u0026nbsp;an\u0026nbsp;interdisciplinary community of innovation at Georgia Tech.\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003EPresenter: Seok Joon Kim\u003C\/strong\u003E\u0026nbsp;\u003Cbr\u003E\u003Cbr\u003E\u003Cstrong\u003ESeminar Title\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003EAHEAD of Time: Toward Robots That Behave Like Human Companions\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003EAffiliation\u0026nbsp;\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003EGeorge W. Woodruff School of Mechanical Engineering (Georgia Tech College of Engineering), Symbiotic and Augmented Intelligence Laboratory (SAIL)\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003EParticipation \u0026amp;\u0026nbsp;Visibility\u0026nbsp;\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.\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003ESubscribe \u0026amp; Sign Up\u0026nbsp;\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003ETo join our mailing list and RSVP your attendance for these seminar series, please sign up here: \u003Ca href=\u0022https:\/\/eforms.isye.gatech.edu\/form\/xr-rsvp?event=7051\u0022\u003E\u003Cstrong\u003ERSVP HERE\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E. \u003C\/strong\u003E\u003Cem\u003ELunch will be served for those who RSVP.\u003C\/em\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EXR Bytes\u003C\/strong\u003E\u0026nbsp;is a graduate-student-led initiative dedicated to\u0026nbsp;showcasing\u0026nbsp;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\u0026nbsp;an\u0026nbsp;interdisciplinary community of innovation at Georgia Tech.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Weekly research seminar series hosted by ADC XR Makerspace at ISyE"}],"uid":"36736","created_gmt":"2026-02-26 17:01:09","changed_gmt":"2026-04-16 16:52:17","author":"ebrown386","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-24T12:30:00-04:00","event_time_end":"2026-04-24T13:30:00-04:00","event_time_end_last":"2026-04-24T13:30:00-04:00","gmt_time_start":"2026-04-24 16:30:00","gmt_time_end":"2026-04-24 17:30:00","gmt_time_end_last":"2026-04-24 17:30:00","rrule":null,"timezone":"America\/New_York"},"location":"ADC XR Makerspace (ISyE Main 115)","extras":[],"hg_media":{"679451":{"id":"679451","type":"image","title":"XR Bytes - Seok Joon Kim","body":null,"created":"1772125619","gmt_created":"2026-02-26 17:06:59","changed":"1772125619","gmt_changed":"2026-02-26 17:06:59","alt":"XR Bytes - Seok Joon Kim","file":{"fid":"263615","name":"Unknown-10.png","image_path":"\/sites\/default\/files\/2026\/02\/26\/Unknown-10.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/26\/Unknown-10.png","mime":"image\/png","size":323668,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/26\/Unknown-10.png?itok=bJb7XTSu"}}},"media_ids":["679451"],"related_links":[{"url":"https:\/\/eforms.isye.gatech.edu\/form\/xr-rsvp?event=7051","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":"194684","name":"Free"},{"id":"194683","name":"Talk"}],"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":""}},"688549":{"#nid":"688549","#data":{"type":"event","title":"XR Bytes: Alex Yang (ADC XR Makerspace)","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EXR Bytes\u003C\/strong\u003E\u0026nbsp;is a graduate-student-led initiative dedicated to\u0026nbsp;showcasing\u0026nbsp;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\u0026nbsp;an\u0026nbsp;interdisciplinary community of innovation at Georgia Tech.\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003EPresenter: Alex Yang\u003C\/strong\u003E\u003C\/h2\u003E\u003Ch2\u003E\u003Cbr\u003E\u003Cstrong\u003ESeminar Title\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003E\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003ELitForager: Exploring Multimodal Literature Foraging Strategies in Immersive Sensemaking\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003EAffiliation\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003EIVI Lab (Immersive Visualization \u0026amp; Interaction Lab), School of Interactive Computing (Georgia Tech College of Computing)\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003ESeminar Title\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.\u0026nbsp;\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.\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003ESubscribe \u0026amp; Sign Up\u0026nbsp;\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003ETo join our mailing list and RSVP your attendance for these seminar series, please sign up here: \u003Ca href=\u0022https:\/\/eforms.isye.gatech.edu\/form\/xr-rsvp?event=7052\u0022\u003E\u003Cstrong\u003ERSVP HERE\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E. \u003C\/strong\u003E\u003Cem\u003ELunch will be served for those who RSVP.\u003C\/em\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EXR Bytes\u003C\/strong\u003E\u0026nbsp;is a graduate-student-led initiative dedicated to\u0026nbsp;showcasing\u0026nbsp;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\u0026nbsp;an\u0026nbsp;interdisciplinary community of innovation at Georgia Tech.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Weekly research seminar series hosted by ADC XR Makerspace at ISyE"}],"uid":"36736","created_gmt":"2026-02-26 17:09:07","changed_gmt":"2026-04-16 16:51:14","author":"ebrown386","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-17T12:30:00-04:00","event_time_end":"2026-04-17T13:30:30-04:00","event_time_end_last":"2026-04-17T13:30:30-04:00","gmt_time_start":"2026-04-17 16:30:00","gmt_time_end":"2026-04-17 17:30:30","gmt_time_end_last":"2026-04-17 17:30:30","rrule":null,"timezone":"America\/New_York"},"location":"ADC XR Makerspace (ISyE Main 115)","extras":[],"hg_media":{"679453":{"id":"679453","type":"image","title":"XR Bytes - Alex Yang","body":null,"created":"1772126043","gmt_created":"2026-02-26 17:14:03","changed":"1772126043","gmt_changed":"2026-02-26 17:14:03","alt":"XR Bytes - Alex Yang","file":{"fid":"263617","name":"Unknown-11.png","image_path":"\/sites\/default\/files\/2026\/02\/26\/Unknown-11.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/26\/Unknown-11.png","mime":"image\/png","size":384391,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/26\/Unknown-11.png?itok=v6g7Riir"}}},"media_ids":["679453"],"related_links":[{"url":"https:\/\/eforms.isye.gatech.edu\/form\/xr-rsvp?event=7052","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":"194684","name":"Free"},{"id":"194683","name":"Talk"}],"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":""}},"689350":{"#nid":"689350","#data":{"type":"event","title":"SCL Lunch and Learn: \u0022Ahead of the Curve: Designing Prices and Markets When Data is Imperfect\u0022","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EThursday, May 7, 2026 | 12-1pm ET on Zoom\u003C\/strong\u003E\u003C\/p\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003EDrawing on her research in pricing, revenue management, and market design, Dr. Wang explores how leaders can make better pricing and selling decisions when market data is limited, noisy, or constantly changing. Her work focuses on simple, practical strategies that remain effective under uncertainty, helping organizations improve revenue outcomes and design more reliable market mechanisms. This session will offer a timely look at how rigorous analytics can guide smarter decisions in imperfect real-world conditions.\u003C\/p\u003E\u003Cp\u003EFeaturing \u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/users\/shixin-wang\u0022\u003EDr. Shixin Wang\u003C\/a\u003E, Tennenbaum Early Career Professor and Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Institute of Technology. Prior to joining Georgia Tech, Dr. Wang was an Assistant Professor in the Department of Decisions, Operations and Technology at The Chinese University of Hong Kong (CUHK) Business School from 2021 to 2025. Her research interests lie in developing simple and robust pricing policies in revenue management, and designing sparse and reliable networks in supply chain and service systems.\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/gatech.zoom.us\/webinar\/register\/3617749822908\/WN_4b5OF6uKQfOiIr_hm-CcOw\u0022\u003E\u003Cstrong\u003ERegister Online to Attend\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EDrawing on her research in pricing, revenue management, and market design, Dr. Wang shows how leaders can use practical analytics to make better pricing and selling decisions\u2014and improve revenue outcomes\u2014even when market data is limited, noisy, or constantly changing.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Join SCL affiliated faculty member Shixin Wang to explore how leaders can make better pricing and selling decisions when market data is limited, noisy, or constantly changing."}],"uid":"27233","created_gmt":"2026-04-01 17:18:24","changed_gmt":"2026-04-16 15:45:11","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-05-07T12:00:00-04:00","event_time_end":"2026-05-07T13:00:00-04:00","event_time_end_last":"2026-05-07T13:00:00-04:00","gmt_time_start":"2026-05-07 16:00:00","gmt_time_end":"2026-05-07 17:00:00","gmt_time_end_last":"2026-05-07 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Online via Zoom","extras":[],"hg_media":{"679815":{"id":"679815","type":"image","title":"SCL Lunch and Learn: \u0022Ahead of the Curve: Designing Prices and Markets When Data is Imperfect\u0022","body":null,"created":"1775064934","gmt_created":"2026-04-01 17:35:34","changed":"1775065679","gmt_changed":"2026-04-01 17:47:59","alt":"\u0022Ahead of the Curve: Designing Prices and Markets When Data is Imperfect\u0022 SCL Lunch and Learn seminar","file":{"fid":"264019","name":"hg_LNL_PricingMkts_simple_20260507.png","image_path":"\/sites\/default\/files\/2026\/04\/01\/hg_LNL_PricingMkts_simple_20260507.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/04\/01\/hg_LNL_PricingMkts_simple_20260507.png","mime":"image\/png","size":117606,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/04\/01\/hg_LNL_PricingMkts_simple_20260507.png?itok=k7RM3_8_"}}},"media_ids":["679815"],"related_links":[{"url":"https:\/\/gatech.zoom.us\/webinar\/register\/3617749822908\/WN_4b5OF6uKQfOiIr_hm-CcOw","title":"Register Online to Attend the Webinar"},{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education","title":"Professional Education at the Georgia Tech Supply Chain and Logistics Institute"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"3615","name":"information session"},{"id":"186857","name":"go-gtmi"},{"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\u003Ecourse@scl.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"689561":{"#nid":"689561","#data":{"type":"event","title":"ISyE Seminar - Jelena Diakonikolas","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E:\u003C\/h3\u003E\u003Cdiv\u003EOptimization under a Magnifying Glass\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Ch3\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E:\u003C\/h3\u003E\u003Cdiv\u003EClassical complexity theory characterizes the difficulty of optimization problems through global worst-case parameters---Lipschitz constants, smoothness, dimension---and derives bounds that are tight over the entire problem class. Yet algorithms routinely outperform these predictions in practice, prompting the question of which other structural properties may determine algorithm efficiency. In this talk, I will present a line of research showing that local structural properties of optimization problems can reveal tractability hidden by worst-case analysis. I will discuss two interconnected threads. The first develops a new complexity framework based on local subgradient variation, which captures when optimization is substantially easier than global bounds suggest. A striking consequence is that parallelization can provably accelerate convex optimization for broad problem classes---including those underlying classical lower bounds---overturning long-standing conventional wisdom. The second thread applies a similar \u0022closer look\u0022 philosophy to robust learning: I will discuss how local geometric structure enables polynomial-time algorithms with best-possible error guarantees for learning generalized linear and single-index models under adversarial noise and distributional shifts. I will close with future directions toward a broader theory of optimization that explains efficiency beyond the worst case.\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Ch3\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E:\u0026nbsp;\u003C\/h3\u003E\u003Cdiv\u003EJelena Diakonikolas is an Assistant Professor in the Department of Computer Sciences at the University of Wisconsin\u2013Madison. Her research lies at the interface of optimization and machine learning theory, where she develops algorithmic frameworks and complexity results that explain when and why optimization is more efficient than worst-case theory predicts. Before joining UW\u2013Madison, she was a postdoctoral researcher at UC Berkeley (as a Simons-Berkeley Microsoft Research Fellow and as a FODA Institute Postdoctoral Fellow) and at Boston University. She received her PhD from Columbia University, graduating with the Morton B. Friedman Prize for Excellence at Columbia Engineering. Her work has been recognized with an AFOSR Young Investigator Program Award, an NSF CAREER Award, and an inaugural Google ML \u0026amp; Systems Junior Faculty Award.\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Ch3\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E:\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003EClassical complexity theory characterizes the difficulty of optimization problems through global worst-case parameters---Lipschitz constants, smoothness, dimension---and derives bounds that are tight over the entire problem class. Yet algorithms routinely outperform these predictions in practice, prompting the question of which other structural properties may determine algorithm efficiency. In this talk, I will present a line of research showing that local structural properties of optimization problems can reveal tractability hidden by worst-case analysis. I will discuss two interconnected threads. The first develops a new complexity framework based on local subgradient variation, which captures when optimization is substantially easier than global bounds suggest. A striking consequence is that parallelization can provably accelerate convex optimization for broad problem classes---including those underlying classical lower bounds---overturning long-standing conventional wisdom. The second thread applies a similar \u0022closer look\u0022 philosophy to robust learning: I will discuss how local geometric structure enables polynomial-time algorithms with best-possible error guarantees for learning generalized linear and single-index models under adversarial noise and distributional shifts. I will close with future directions toward a broader theory of optimization that explains efficiency beyond the worst case.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Optimization under a Magnifying Glass"}],"uid":"34977","created_gmt":"2026-04-08 13:37:32","changed_gmt":"2026-04-08 13:39:28","author":"Julie Smith","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-20T11:00:00-04:00","event_time_end":"2026-04-20T12:00:00-04:00","event_time_end_last":"2026-04-20T12:00:00-04:00","gmt_time_start":"2026-04-20 15:00:00","gmt_time_end":"2026-04-20 16:00:00","gmt_time_end_last":"2026-04-20 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"ISyE Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"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":""}},"689473":{"#nid":"689473","#data":{"type":"event","title":"Optimization Meets Participation: Iterative School Zone Generation with LLMs","body":[{"value":"\u003Ch3\u003ETitle:\u003C\/h3\u003E\u003Cp\u003EOptimization Meets Participation: Iterative School Zone Generation with LLMs\u003C\/p\u003E\u003Ch3\u003EAbstract:\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003EIn U.S. public school systems, geographic boundaries play a central role in shaping students\u2019 assignments and access to opportunity. For example, the San Francisco Unified School District (SFUSD) recently adopted multi-school zones with controlled choice to jointly promote diversity and proximity to assigned schools. Designing such zones is both computationally and socially complex: algorithmic approaches are required to balance competing objectives at scale, yet stakeholders are typically asked to articulate their preferences upfront, before seeing feasible zone maps, limiting their ability to meaningfully influence outcomes. We propose a stakeholder-in-the-loop framework for joint preference elicitation and zone design. Our approach iterates between using optimization to generate zones and collecting participatory feedback as stakeholders react\u0026nbsp;to zones. To enable broad participation, we use large language models (LLMs) to translate between natural language stakeholder input and optimization constraints. To support real-time iteration, we develop faster computational methods for the multi-school zoning problem, using both mathematical programming and sampling-based approaches. Our framework produces zones with substantially improved diversity and proximity metrics relative to existing benchmarks, while also generating individual-level preference representations that can be aggregated using standard social choice methods. Our approach has been used to support preliminary discussions about zone boundaries in SFUSD and are generalizable to other redistricting and participatory planning contexts.\u003C\/p\u003E\u003Ch3\u003EBio:\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003EIrene Lo is an assistant professor in the department of Management Science \u0026amp; Engineering at Stanford University. Her research sits at the intersection of operations research, computer science theory, and economic theory. She designs markets and allocation systems that improve both efficiency and equity, with applications in education, the environment, and the developing world. She leads a Stanford Impact Lab on Equitable Access to Education, co-launched the ACM Conference series on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), and is a William T. Grant Scholar.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EIn U.S. public school systems, geographic boundaries play a central role in shaping students\u2019 assignments and access to opportunity. For example, the San Francisco Unified School District (SFUSD) recently adopted multi-school zones with controlled choice to jointly promote diversity and proximity to assigned schools. Designing such zones is both computationally and socially complex: algorithmic approaches are required to balance competing objectives at scale, yet stakeholders are typically asked to articulate their preferences upfront, before seeing feasible zone maps, limiting their ability to meaningfully influence outcomes. We propose a stakeholder-in-the-loop framework for joint preference elicitation and zone design. Our approach iterates between using optimization to generate zones and collecting participatory feedback as stakeholders react\u0026nbsp;to zones. To enable broad participation, we use large language models (LLMs) to translate between natural language stakeholder input and optimization constraints. To support real-time iteration, we develop faster computational methods for the multi-school zoning problem, using both mathematical programming and sampling-based approaches. Our framework produces zones with substantially improved diversity and proximity metrics relative to existing benchmarks, while also generating individual-level preference representations that can be aggregated using standard social choice methods. Our approach has been used to support preliminary discussions about zone boundaries in SFUSD and are generalizable to other redistricting and participatory planning contexts.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"An interactive framework combining optimization and stakeholder feedback to design equitable multi-school zones with improved diversity, proximity, and participatory input."}],"uid":"36458","created_gmt":"2026-04-06 14:26:31","changed_gmt":"2026-04-06 14:41:45","author":"mellis74","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-10T11:00:00-04:00","event_time_end":"2026-04-10T12:00:00-04:00","event_time_end_last":"2026-04-10T12:00:00-04:00","gmt_time_start":"2026-04-10 15:00:00","gmt_time_end":"2026-04-10 16:00:00","gmt_time_end_last":"2026-04-10 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402 Executive Boardroom ","extras":["free_food"],"hg_media":{"679864":{"id":"679864","type":"image","title":"Irene Lo","body":null,"created":"1775486473","gmt_created":"2026-04-06 14:41:13","changed":"1775486473","gmt_changed":"2026-04-06 14:41:13","alt":"Irene Lo","file":{"fid":"264074","name":"irene-lo_profilephoto.jpg","image_path":"\/sites\/default\/files\/2026\/04\/06\/irene-lo_profilephoto.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/04\/06\/irene-lo_profilephoto.jpg","mime":"image\/jpeg","size":11690,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/04\/06\/irene-lo_profilephoto.jpg?itok=omfjtvLg"}}},"media_ids":["679864"],"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":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"689260":{"#nid":"689260","#data":{"type":"event","title":"ISyE Seminar \u2013 Vineet Goyal","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EDistributionally Robust Newsvendor on a Metric\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EWe consider a fundamental generalization of the classical newsvendor problem where the seller needs to decide on the inventory of a product jointly for multiple locations on a metric as well as a fulfillment policy to satisfy the uncertain demand that arises sequentially over time after the inventory decisions have been made. To address the distributional-ambiguity, we consider a distributionally robust setting where the decision-maker only knows the mean and variance of the demand, and the goal is to make inventory and fulfillment decisions to minimize the worst-case expected inventory and fulfillment cost (where the expectation is taken over the worst case choice of distribution with given mean and variance).\u0026nbsp;\u003Cbr\u003E\u003Cbr\u003EWe present a significant generalization of the classical result of Scarf (1958) and give a policy with strong theoretical guarantees as well as good practical performance while maintaining the simplicity and interpretability of the solution in Scarf (1958). In particular, our policy first identifies a hierarchical clustering of the locations, and assigns a \u0022virtual-underage cost\u0022 for each cluster. Our inventory solution ensures that for each cluster, the total inventory in the cluster is at least as large as the inventory level suggested by Scarf\u0027s solution for the virtual-underage cost if the cluster was a single point. We present a worst-case performance guarantee for our policy and also demonstrate that the policy performs well in practice. To the best of our knowledge, this is the first algorithm with provable performance guarantees.\u0026nbsp; \u0026nbsp;(This is joint work with Ayoub Foussoul)\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EVineet Goyal is a Professor in the Industrial Engineering and Operations Research Department at Columbia University where he joined in 2010. He received his Bachelor\u0027s degree in Computer Science from Indian Institute of Technology, Delhi in 2003 and his Ph.D. in Algorithms, Combinatorics and Optimization (ACO) from Carnegie Mellon University in 2008. Before coming to Columbia, he spent two years as a Postdoctoral Associate at the Operations Research Center at MIT. He is interested in the design of efficient and robust data-driven algorithms for large scale dynamic optimization problems with applications in\u0026nbsp; revenue management and healthcare problems. His research has been continually supported by grants from NSF and industry including NSF CAREER Award in 2014 and faculty research awards from Google, IBM, Adobe and Amazon.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EWe consider a fundamental generalization of the classical newsvendor problem where the seller needs to decide on the inventory of a product jointly for multiple locations on a metric as well as a fulfillment policy to satisfy the uncertain demand that arises sequentially over time after the inventory decisions have been made. To address the distributional-ambiguity, we consider a distributionally robust setting where the decision-maker only knows the mean and variance of the demand, and the goal is to make inventory and fulfillment decisions to minimize the worst-case expected inventory and fulfillment cost (where the expectation is taken over the worst case choice of distribution with given mean and variance).\u003C\/p\u003E\u003Cp\u003EWe present a significant generalization of the classical result of Scarf (1958) and give a policy with strong theoretical guarantees as well as good practical performance while maintaining the simplicity and interpretability of the solution in Scarf (1958). In particular, our policy first identifies a hierarchical clustering of the locations, and assigns a \u0022virtual-underage cost\u0022 for each cluster. Our inventory solution ensures that for each cluster, the total inventory in the cluster is at least as large as the inventory level suggested by Scarf\u0027s solution for the virtual-underage cost if the cluster was a single point. We present a worst-case performance guarantee for our policy and also demonstrate that the policy performs well in practice. To the best of our knowledge, this is the first algorithm with provable performance guarantees.\u0026nbsp; \u0026nbsp;(This is joint work with Ayoub Foussoul)\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Distributionally Robust Newsvendor on a Metric"}],"uid":"36861","created_gmt":"2026-03-31 15:36:26","changed_gmt":"2026-04-03 14:38:03","author":"adrysdale7","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-03T11:00:00-04:00","event_time_end":"2026-04-03T12:00:00-04:00","event_time_end_last":"2026-04-03T12:00:00-04:00","gmt_time_start":"2026-04-03 15:00:00","gmt_time_end":"2026-04-03 16:00:00","gmt_time_end_last":"2026-04-03 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"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":""}},"689314":{"#nid":"689314","#data":{"type":"event","title":"ISYE Statistics Seminar - Sankaran Mahadevan","body":[{"value":"\u003Cp\u003EProbabilistic Digital Twins for Diagnosis, Prognosis, and Decision-Making\u003C\/p\u003E\u003Cp\u003EThe digital twin, a virtual representation of a physical system or process, integrates information obtained from sensor data, physics models, as well as operational and inspection\/maintenance\/repair history of the system. As more and more data becomes available, the resulting updated model becomes increasingly accurate in predicting future behavior of the system, and can potentially be used to support several objectives, such as sustainment, mission planning, and operational maneuvers. This presentation will present recent research in digital twin methodologies to support all three objectives, based on several types of computations: current state diagnosis, model updating, future state prognosis, and decision-making. All these computations are affected by uncertainty regarding system properties, operational parameters, usage and environment, as well as uncertainties in data and the prediction models. Therefore the presentation will address decision-making under uncertainty, and the incorporation of modern uncertainty quantification techniques, considering both aleatory and epistemic uncertainty sources. Scaling up the probabilistic digital twin methodology to support real-time decision-making is a challenge, and several strategies that combine recent advances in sensing, computing, data fusion, and machine learning to enable the scale-up will be discussed. Several use cases related to power grid, aircraft, marine vessels, and additive manufacturing will be presented.\u003C\/p\u003E\u003Cp\u003EProfessor Sankaran Mahadevan (Vanderbilt University, Nashville, TN) has more than thirty-five years of research and teaching experience in uncertainty quantification, risk and reliability analysis, machine learning, structural health diagnosis and prognosis, and decision-making under uncertainty. He has applied these methods to a variety of structures, materials and systems in civil, mechanical and aerospace engineering. His research has been extensively funded by NSF, NASA, DOE, DOD, FAA, NIST, as well as GM, Chrysler, GE, Union Pacific, and Mitsubishi, and he has co-authored two textbooks and 350 peer-reviewed journal papers. During the past two decades, he has been at the forefront of academic research on uncertainty quantification and digital twin methodologies.\u003C\/p\u003E\u003Cp\u003EProfessor Mahadevan has served as President of the ASCE Engineering Mechanics Institute, and as chair of several technical committees and prominent conferences in ASCE, ASME, and AIAA. He is currently serving as the Chair of the ASME VVUQ 50 Subcommittee on Advanced Manufacturing. He is a Distinguished Member of ASCE, and Fellow of AIAA, Engineering Mechanics Institute (ASCE), and PHM Society. His awards include ASCE\u2019s Alfredo Ang award for risk analysis and management of civil infrastructure, and the IASSAR Distinguished Research award.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe digital twin, a virtual representation of a physical system or process, integrates information obtained from sensor data, physics models, as well as operational and inspection\/maintenance\/repair history of the system. As more and more data becomes available, the resulting updated model becomes increasingly accurate in predicting future behavior of the system, and can potentially be used to support several objectives, such as sustainment, mission planning, and operational maneuvers. This presentation will present recent research in digital twin methodologies to support all three objectives, based on several types of computations: current state diagnosis, model updating, future state prognosis, and decision-making. All these computations are affected by uncertainty regarding system properties, operational parameters, usage and environment, as well as uncertainties in data and the prediction models. Therefore the presentation will address decision-making under uncertainty, and the incorporation of modern uncertainty quantification techniques, considering both aleatory and epistemic uncertainty sources. Scaling up the probabilistic digital twin methodology to support real-time decision-making is a challenge, and several strategies that combine recent advances in sensing, computing, data fusion, and machine learning to enable the scale-up will be discussed. Several use cases related to power grid, aircraft, marine vessels, and additive manufacturing will be presented.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Probabilistic Digital Twins for Diagnosis, Prognosis, and Decision-Making"}],"uid":"36868","created_gmt":"2026-04-01 14:29:59","changed_gmt":"2026-04-01 14:33:58","author":"mferrick3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-07T11:00:00-04:00","event_time_end":"2026-04-07T12:00:00-04:00","event_time_end_last":"2026-04-07T12:00:00-04:00","gmt_time_start":"2026-04-07 15:00:00","gmt_time_end":"2026-04-07 16:00:00","gmt_time_end_last":"2026-04-07 16:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"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":"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":""}},"689136":{"#nid":"689136","#data":{"type":"event","title":"CHHS Webinar Series: \u0022Improving Health Cost Transparency in Georgia\u0022","body":[{"value":"\u003Cp\u003EThe \u003Ca href=\u0022https:\/\/apcd.georgia.gov\/\u0022\u003EGeorgia All-Payer Claims Database\u003C\/a\u003E (APCD) was established in 2020 with the mission of improving the access, quality, and cost of healthcare in the state. The APCD Analytics team is based at Georgia Tech and has conducted a series of publicly available analyses on healthcare costs (\u003Ca href=\u0022https:\/\/www.gtri.gatech.edu\/newsroom\/georgia-insurance-claims-database-provides-health-care-cost-comparisons\u0022\u003Erelated news\u003C\/a\u003E). Most recently, the APCD team has released a dashboard comparing costs of care for over 450 procedures at institutions across the state. During the session, we will look at this new tool and discuss plans for further enhancing cost transparency in Georgia.\u003C\/p\u003E\u003Cp\u003EFeaturing \u003Ca href=\u0022https:\/\/research.gatech.edu\/people\/jon-duke\u0022\u003EJon Duke\u003C\/a\u003E, a physician-scientist with a 25-year career spanning clinical practice, academic medicine, and advanced research in health informatics and analytics. Dr. Duke joined Georgia Tech Research Institute (GTRI) in 2016 and has served as director of GTRI\u2019s Health Emerging and Advanced Technologies Division since its inception in 2019. Over the course of his career, Dr. Duke has been awarded over $70M in external funding as a principal investigator and his academic publications have been cited over 6,000 times. Dr. Duke\u0027s work is enabling organizations to better use electronic health data to improve the well-being of patients and populations. His areas of research include decision support, data standards and interoperability, natural language processing, and artificial intelligence with applications spanning medication safety, public health, cost transparency, and clinical research.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe Georgia All-Payer Claims Database (APCD) team recently released a dashboard comparing costs of care for over 450 procedures at institutions across the state. During this session, we will explore their new tool and plans for further enhancing cost transparency in Georgia.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia residents now have a new way to compare the estimated costs paid for a large variety of health care services in the state."}],"uid":"27233","created_gmt":"2026-03-23 17:59:35","changed_gmt":"2026-03-23 18:46:11","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-02T12:00:00-04:00","event_time_end":"2026-04-02T13:00:00-04:00","event_time_end_last":"2026-04-02T13:00:00-04:00","gmt_time_start":"2026-04-02 16:00:00","gmt_time_end":"2026-04-02 17:00:00","gmt_time_end_last":"2026-04-02 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"679718":{"id":"679718","type":"image","title":"CHHS Webinar Series: \u0022Improving Health Cost Transparency in Georgia\u0022","body":null,"created":"1774291525","gmt_created":"2026-03-23 18:45:25","changed":"1774291525","gmt_changed":"2026-03-23 18:45:25","alt":"CHHS Webinar Series: \u0022Improving Health Cost Transparency in Georgia\u0022","file":{"fid":"263910","name":"20260402_CHHS_LNL.jpg","image_path":"\/sites\/default\/files\/2026\/03\/23\/20260402_CHHS_LNL.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/23\/20260402_CHHS_LNL.jpg","mime":"image\/jpeg","size":161950,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/23\/20260402_CHHS_LNL.jpg?itok=FpVWLlwS"}}},"media_ids":["679718"],"related_links":[{"url":"https:\/\/gatech.zoom.us\/webinar\/register\/WN_ZHdh69R2RKStBnQ6FrolAg#\/registration","title":"To attend, please register online via Zoom"}],"groups":[{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194684","name":"Free"},{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"688747":{"#nid":"688747","#data":{"type":"event","title":"Generative AI for Global Social Impact: Towards Solving the Deployment Bottleneck","body":[{"value":"\u003Ch3\u003ETitle:\u0026nbsp;\u003Cbr\u003EGenerative AI for Global Social Impact: Towards Solving the Deployment Bottleneck\u003Cbr\u003E\u0026nbsp;\u003C\/h3\u003E\u003Ch3\u003EAbstract:\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003E\u003Cbr\u003EMy team\u2019s work on AI for Social Impact (AI4SI) has spanned two decades, focusing on optimizing limited resources in critical areas like public health, conservation, and public safety. I will present field results from India, where the deployment of restless and collaborative multi-armed bandit (RMAB) algorithms achieved significant improvements in the world\u2019s two largest mobile maternal health programs. I will also highlight ongoing work on network-based HIV prevention in South Africa, modeled as a branching bandit problem. These projects, along with other initiatives across Africa and Asia, expose a critical \u0022deployment bottleneck\u0022 that spans the entire machine learning pipeline. This bottleneck consists of three key hurdles: the observational scarcity gap (data), the policy synthesis gap (learning and modeling), and the human-AI alignment gap (deployment).\u003C\/p\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cp\u003EThis talk investigates how Generative AI can address this AI4SI deployment bottleneck through the strategic use of LLM Agents and diffusion models. I will demonstrate how LLM Agents address the alignment gap by integrating expert guidance into algorithmic planning, ensuring resource optimization strategies reflect real-world priorities. Furthermore, I will show how diffusion models mitigate the scarcity and synthesis gaps by generating synthetic social networks and facilitating Transfer RL to utilize data across domains. I will conclude by discussing this path toward a more scalable, human-aligned future for AI for Social Impact.\u003Cbr\u003E\u003Cbr\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003Cbr\u003EMilind Tambe is the Gordon McKay Professor of Computer Science at Harvard University; concurrently, he is Principal Scientist and Director for \u201cAI for Social Good\u201d at Google Research. Prof. Tambe and his team have developed innovative AI and multi-agent reasoning systems that have been successfully deployed to deliver real-world impact in public health (e.g., maternal and child health), public safety, and wildlife conservation. He is the recipient of the AAAI Award for Artificial Intelligence for the Benefit of Humanity, the AAAI Feigenbaum Prize, the IJCAI John McCarthy Award, the AAAI Robert S. Engelmore Memorial Lecture Award, and the AAMAS ACM\/SIGAI Autonomous Agents Research Award. He is a fellow of AAAI and ACM. His contributions in Operations Research and public safety have also been recognized with the INFORMS Wagner Prize for excellence in Operations Research practice, Military Operations Research Society Rist Prize, the Columbus Fellowship Foundation Homeland security award, and commendations and certificates of appreciation from the US Coast Guard, the Federal Air Marshals Service, and airport police at the city of Los Angeles.\u003Cbr\u003E\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EMy team\u2019s work on AI for Social Impact (AI4SI) has spanned two decades, focusing on optimizing limited resources in critical areas like public health, conservation, and public safety. I will present field results from India, where the deployment of restless and collaborative multi-armed bandit (RMAB) algorithms achieved significant improvements in the world\u2019s two largest mobile maternal health programs. I will also highlight ongoing work on network-based HIV prevention in South Africa, modeled as a branching bandit problem. These projects, along with other initiatives across Africa and Asia, expose a critical \u0022deployment bottleneck\u0022 that spans the entire machine learning pipeline. This bottleneck consists of three key hurdles: the observational scarcity gap (data), the policy synthesis gap (learning and modeling), and the human-AI alignment gap (deployment).\u003C\/p\u003E\u003Cp\u003EThis talk investigates how Generative AI can address this AI4SI deployment bottleneck through the strategic use of LLM Agents and diffusion models. I will demonstrate how LLM Agents address the alignment gap by integrating expert guidance into algorithmic planning, ensuring resource optimization strategies reflect real-world priorities. Furthermore, I will show how diffusion models mitigate the scarcity and synthesis gaps by generating synthetic social networks and facilitating Transfer RL to utilize data across domains. I will conclude by discussing this path toward a more scalable, human-aligned future for AI for Social Impact.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"This talk presents how Generative AI methods, including LLM agents and diffusion models, can address data, modeling, and deployment challenges in AI for Social Impact, enabling scalable and human-aligned solutions in public health and global programs."}],"uid":"36458","created_gmt":"2026-03-05 19:16:53","changed_gmt":"2026-03-11 16:11:59","author":"mellis74","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-13T11:00:00-04:00","event_time_end":"2026-03-13T12:30:00-04:00","event_time_end_last":"2026-03-13T12:30:00-04:00","gmt_time_start":"2026-03-13 15:00:00","gmt_time_end":"2026-03-13 16:30:00","gmt_time_end_last":"2026-03-13 16:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose Executive Boardroom- GC 402","extras":["free_food"],"hg_media":{"679532":{"id":"679532","type":"image","title":"Milind Tambe","body":null,"created":"1772738765","gmt_created":"2026-03-05 19:26:05","changed":"1772738765","gmt_changed":"2026-03-05 19:26:05","alt":"Milind Tambe","file":{"fid":"263705","name":"Tambe_Summer2019-23.jpg","image_path":"\/sites\/default\/files\/2026\/03\/05\/Tambe_Summer2019-23.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/05\/Tambe_Summer2019-23.jpg","mime":"image\/jpeg","size":153829,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/05\/Tambe_Summer2019-23.jpg?itok=V3A5xODf"}}},"media_ids":["679532"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1789","name":"Conference\/Symposium"}],"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":""}},"688854":{"#nid":"688854","#data":{"type":"event","title":"ISyE Seminar_ Uncertainty Quantification in Engineering: What, Why, and How","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u003Cbr\u003E\u003Cstrong\u003EUncertainty Quantification in Engineering: What, Why, and How\u003C\/strong\u003E\u003Cbr\u003EPeter Chien\u003Cbr\u003EProfessor of Statistics\u003Cbr\u003EUniversity of Wisconsin\u2013Madison\u003Cbr\u003E\u003Ca href=\u0022mailto:peter.chien@wisc.edu\u0022\u003Epeter.chien@wisc.edu\u003C\/a\u003E\u003C\/h3\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Ch3\u003EAbstract:\u003C\/h3\u003E\u003Cp\u003EMany manufacturing companies have experienced costly recalls and product failures because uncertainties in design, testing, and manufacturing processes were not adequately quantified. These failures have led to fatal accidents, billions of dollars in lost revenue, and even the collapse of major manufacturing firms. In response, industries such as aerospace, automotive, semiconductor, and medical devices have increasingly adopted \u003Cstrong\u003EUncertainty Quantification (UQ)\u003C\/strong\u003E\u2014a multidisciplinary framework drawing from statistics, applied mathematics, and engineering\u2014to better design, test, and manufacture products under uncertainty.\u003C\/p\u003E\u003Cp\u003EThis talk provides an overview of Uncertainty Quantification, explains why it has become indispensable in modern engineering, and introduces key design of experiment and predictive model methods for rigorously quantifying uncertainty in complex systems.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Ch3\u003EBio\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003EPeter Chien is a Professor of Statistics and Industrial \u0026amp; Systems Engineering at the University of Wisconsin\u2013Madison and a Fellow of the American Statistical Association. He is the recipient of a National Science Foundation CAREER Award and an IBM Faculty Award. His research has been widely adopted by Fortune 500 companies across industries including aerospace, automotive, semiconductors, electronics, chemical, battery and life sciences.\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EMany manufacturing companies have experienced costly recalls and product failures because uncertainties in design, testing, and manufacturing processes were not adequately quantified. These failures have led to fatal accidents, billions of dollars in lost revenue, and even the collapse of major manufacturing firms. In response, industries such as aerospace, automotive, semiconductor, and medical devices have increasingly adopted \u003Cstrong\u003EUncertainty Quantification (UQ)\u003C\/strong\u003E\u2014a multidisciplinary framework drawing from statistics, applied mathematics, and engineering\u2014to better design, test, and manufacture products under uncertainty.\u003C\/p\u003E\u003Cp\u003EThis talk provides an overview of Uncertainty Quantification, explains why it has become indispensable in modern engineering, and introduces key design of experiment and predictive model methods for rigorously quantifying uncertainty in complex systems.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"This talk introduces Uncertainty Quantification (UQ) as a multidisciplinary framework that helps engineers rigorously measure and manage uncertainty in design, testing, and manufacturing to improve reliability and prevent costly product failures."}],"uid":"36458","created_gmt":"2026-03-11 15:41:32","changed_gmt":"2026-03-11 15:47:28","author":"mellis74","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-20T11:00:00-04:00","event_time_end":"2026-03-20T12:00:00-04:00","event_time_end_last":"2026-03-20T12:00:00-04:00","gmt_time_start":"2026-03-20 15:00:00","gmt_time_end":"2026-03-20 16:00:00","gmt_time_end_last":"2026-03-20 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose Executive Boardroom GC402","extras":[],"hg_media":{"679578":{"id":"679578","type":"image","title":"Peter Chien","body":null,"created":"1773244006","gmt_created":"2026-03-11 15:46:46","changed":"1773244006","gmt_changed":"2026-03-11 15:46:46","alt":"Peter Chien","file":{"fid":"263754","name":"PIC.jpeg","image_path":"\/sites\/default\/files\/2026\/03\/11\/PIC.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/11\/PIC.jpeg","mime":"image\/jpeg","size":41100,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/11\/PIC.jpeg?itok=j5JbSLcK"}}},"media_ids":["679578"],"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":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"688541":{"#nid":"688541","#data":{"type":"event","title":"XR Bytes: Srikanth\u00a0Tindivanam\u00a0Varadharajan (ADC XR Makerspace) ","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EXR Bytes\u003C\/strong\u003E\u0026nbsp;is a graduate-student-led initiative dedicated to\u0026nbsp;showcasing\u0026nbsp;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\u0026nbsp;an\u0026nbsp;interdisciplinary community of innovation at Georgia Tech.\u0026nbsp;\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003EPresenter: \u003C\/strong\u003ESrikanth\u0026nbsp;Tindivanam\u0026nbsp;Varadharajan (Aerospace Engineering)\u003C\/h2\u003E\u003Cp\u003E\u003Cbr\u003E\u003Ca href=\u0022https:\/\/lightroom.adobe.com\/shares\/c0fab204c0354d2c85328ed299305590\u0022 target=\u0022_blank\u0022\u003EView Event Photos\u003C\/a\u003E\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003ESeminar Title:\u0026nbsp;\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003EXR\u0026nbsp;for the Sky: Enhancing UAV and UAM Operations\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003EAffiliation\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003EGeorgia Tech, College of\u0026nbsp;Engineering :\u0026nbsp;DR-CSE-AE, Labs: ASDL\u0026nbsp;and\u0026nbsp; CCG\u0026nbsp;(Aerospace Systems Design Laboratory and Contextual Computing Group)\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003EParticipation \u0026amp;\u0026nbsp;Visibility\u003C\/strong\u003E\u0026nbsp;\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.\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003ESubscribe \u0026amp; Sign Up\u003C\/strong\u003E\u0026nbsp;\u003C\/h2\u003E\u003Cp\u003ETo join our mailing list and RSVP your attendance for these seminar series, please sign up here: \u003Ca href=\u0022https:\/\/eforms.isye.gatech.edu\/form\/xr-rsvp?event=7047\u0022 id=\u0022OWA22b64c58-63b7-d310-12aa-d03756bd4375\u0022 rel=\u0022noreferrer noopener\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/eforms.isye.gatech.edu\/form\/xr-rsvp\u0022\u003E\u003Cstrong\u003ERSVP HERE\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E. \u003C\/strong\u003E\u003Cem\u003ELunch will be served for those who RSVP.\u003C\/em\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EXR Bytes\u003C\/strong\u003E\u0026nbsp;is a graduate-student-led initiative dedicated to\u0026nbsp;showcasing\u0026nbsp;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\u0026nbsp;an\u0026nbsp;interdisciplinary community of innovation at Georgia Tech.\u0026nbsp;\u003Cbr\u003E\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Weekly research seminar series hosted by ADC XR Makerspace at ISyE"}],"uid":"36736","created_gmt":"2026-02-26 15:25:08","changed_gmt":"2026-03-09 17:19:48","author":"ebrown386","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-06T12:30:00-05:00","event_time_end":"2026-03-06T13:30:00-05:00","event_time_end_last":"2026-03-06T13:30:00-05:00","gmt_time_start":"2026-03-06 17:30:00","gmt_time_end":"2026-03-06 18:30:00","gmt_time_end_last":"2026-03-06 18:30:00","rrule":null,"timezone":"America\/New_York"},"location":"ADC XR Makerspace (ISyE Main 115)","extras":[],"hg_media":{"679446":{"id":"679446","type":"image","title":"XR Bytes - Srikanth Tindivanam Varadharajan","body":null,"created":"1772119517","gmt_created":"2026-02-26 15:25:17","changed":"1772119517","gmt_changed":"2026-02-26 15:25:17","alt":"XR Bytes - Srikanth Tindivanam Varadharajan","file":{"fid":"263610","name":"Srikanth-XR-Headshot.jpg","image_path":"\/sites\/default\/files\/2026\/02\/26\/Srikanth-XR-Headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/26\/Srikanth-XR-Headshot.jpg","mime":"image\/jpeg","size":143716,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/26\/Srikanth-XR-Headshot.jpg?itok=xLkYbj6-"}}},"media_ids":["679446"],"related_links":[{"url":"https:\/\/eforms.isye.gatech.edu\/form\/xr-rsvp?event=7047","title":"RSVP"},{"url":"https:\/\/lightroom.adobe.com\/shares\/c0fab204c0354d2c85328ed299305590","title":"View Event Photos"}],"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":"194684","name":"Free"},{"id":"194683","name":"Talk"}],"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":""}},"688751":{"#nid":"688751","#data":{"type":"event","title":"LeeAnn and Walter Muller Distinguished Scholarship Lecture Series - Dr. Bin Yu","body":[{"value":"\u003Ch2\u003E2026 LeeAnn and Walter Muller Distinguished Scholarship Lecture Series, Dr. Bin Yu\u003C\/h2\u003E\u003Cp\u003E\u003Cstrong\u003EVeridical Data Science for Healthcare in the Age of AI\u003C\/strong\u003E\u003Cbr\u003E\u003Cbr\u003EGeorgia Tech Exhibition Hall\u003Cbr\u003EKirkwood Room\u003Cbr\u003EMonday, March 30, 2026\u003Cbr\u003E3:30-4:30PM\u0026nbsp;\u003Cbr\u003E\u003Cem\u003EReception to follow at \u003C\/em\u003E\u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/about\/school\/facilities\u0022\u003E\u003Cem\u003EISyE Main Atrium\u003C\/em\u003E\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003EAbstract: Dr. Bin Yu, Keynote Speaker\u003Cbr\u003E\u0026nbsp;\u003C\/h2\u003E\u003Cp\u003EData science underpins modern AI and many advances in healthcare, yet human judgment permeates every stage of the data science life cycle. These judgment calls introduce hidden uncertainties that go well beyond sampling variability and drive many of the risks associated with AI.\u003C\/p\u003E\u003Cp\u003EWe introduce veridical data science, grounded in three fundamental principles\u2014Predictability, Computability, and Stability (PCS)\u2014to make such uncertainties explicit and assessable and to aggregate reality-checked algorithms for better results. The PCS framework unifies and extends best practices in statistics and machine learning and is illustrated through healthcare applications, including identifying genetic drivers of heart disease, reducing cost of prostate cancer detection, improving uncertainty quantification beyond standard conformal prediction, and proposing, Green Shielding, a new user-centric framework for safeguarding users of AI.\u003C\/p\u003E\u003Ch2\u003E\u0026nbsp;\u003C\/h2\u003E\u003Ch2\u003EAbout: Dr. Yu\u003Cbr\u003E\u0026nbsp;\u003C\/h2\u003E\u003Cp\u003EDr. Bin Yu is CDSS Chancellor\u0027s Distinguished Professor in Statistics, EECS, Center for Computational Biology, and Senior Advisor at the Simons Institute for the Theory of Computing, all at UC Berkeley. Her research focuses on the practice and theory of statistical machine learning, veridical data science, responsible and safe AI, and solving interdisciplinary data problems in neuroscience, genomics, and precision medicine. She and her team have developed algorithms such as iterative random forests (iRF), stability-driven NMF, adaptive wavelet distillation (AWD), Contextual Decomposition for Transformers (CD-T), SPEX and ProxySPEX for interpreting deep learning models, especially for compositional interpretability.\u003C\/p\u003E\u003Cp\u003EShe is a member of the National Academy of Sciences and of the American Academy of Arts and Sciences. She was a Guggenheim Fellow, President of Institute of Mathematical Statistics (IMS), and delivered the Tukey Lecture of the Bernoulli Society, the Breiman Lecture at NeurIPS, the IMS Rietz Lecture, and the Wald Memorial Lectures (the highest honor of IMS), and Distinguished Achievement Award and Lecture (formerly Fisher Lecture) of COPSS (Committee of Presidents of Statistical Societies). She holds an Honorary Doctorate from The University of Lausanne. She is on the Editorial Board of Proceedings of National Academy of Science (PNAS) and a co-editor of the Harvard Data Science Review (HDSR).\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EISyE welcomes Dr. Bin Yu (CDSS Chancellor\u0027s Distinguished Professor in Statistics, EECS, Center for Computational Biology, University of California, Berkeley) as the keynote speaker for its 2026 LeeAnn and Walter Muller Distinguished Scholarship Lecture Series.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"2026 ISyE LeeAnn and Walter Muller Distinguished Scholarship Lecture Series with Dr. Bin Yu"}],"uid":"36736","created_gmt":"2026-03-05 19:55:18","changed_gmt":"2026-03-05 20:18:31","author":"ebrown386","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-30T15:30:00-04:00","event_time_end":"2026-03-30T16:30:00-04:00","event_time_end_last":"2026-03-30T16:30:00-04:00","gmt_time_start":"2026-03-30 19:30:00","gmt_time_end":"2026-03-30 20:30:00","gmt_time_end_last":"2026-03-30 20:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Exhibition Hall - Kirkwood Room","extras":[],"hg_media":{"679535":{"id":"679535","type":"image","title":"LeeAnn and Walter Muller Distinguished Scholarship Lecture Series - Dr. Bin Yu","body":"\u003Cp\u003EISyE LeeAnn and Walter Muller Distinguished Scholarship Lecture Series\u0026nbsp;\u003C\/p\u003E","created":"1772740844","gmt_created":"2026-03-05 20:00:44","changed":"1772740844","gmt_changed":"2026-03-05 20:00:44","alt":"LeeAnn and Walter Muller Distinguished Scholarship Lecture Series ","file":{"fid":"263708","name":"DLS-226---Vertical-Monitor--1080-x-1158-px---2-.png","image_path":"\/sites\/default\/files\/2026\/03\/05\/DLS-226---Vertical-Monitor--1080-x-1158-px---2-.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/05\/DLS-226---Vertical-Monitor--1080-x-1158-px---2-.png","mime":"image\/png","size":713710,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/05\/DLS-226---Vertical-Monitor--1080-x-1158-px---2-.png?itok=upmesjHY"}}},"media_ids":["679535"],"related_links":[{"url":"https:\/\/eforms.isye.gatech.edu\/distinguished-scholarship-lecture-series","title":"RSVP"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194683","name":"Talk"}],"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":""}},"688738":{"#nid":"688738","#data":{"type":"event","title":"SCL Fall 2026 Supply Chain Day Career Fair","body":[{"value":"\u003Cp\u003EEmployers and Georgia Tech students \u2013 please join us for our spring Supply Chain Day!\u0026nbsp;\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EEvent Details\u003C\/strong\u003E\u003C\/h3\u003E\u003Ch4\u003EOn Campus\/In-Person (Georgia Tech Exhibition Hall)\u003C\/h4\u003E\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EWednesday, September 9, 2026 | 10am-2pm ET\u0026nbsp;\u003C\/strong\u003E\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003EStudents\u003C\/h3\u003E\u003Cp\u003E\u003Cstrong\u003EWe strongly encourage you to attend to seek full-time employment\u003C\/strong\u003E, \u003Cstrong\u003Einternships, and projects\u003C\/strong\u003E (rather than waiting until the end of the semester).\u003C\/p\u003E\u003Ch3\u003EOrganizations\u003C\/h3\u003E\u003Cp\u003EIf you are interested in hosting a table for our upcoming session, please let us know after reviewing the below information within our website. Early registration closes August 1st!\u003C\/p\u003E\u003Ch4\u003EMORE INFORMATION AND EVENT REGISTRATION\u003C\/h4\u003E\u003Cp\u003EVisit\u0026nbsp;\u003Ca href=\u0022https:\/\/www.scl.gatech.edu\/outreach\/supplychainday\u0022\u003E\u003Cstrong\u003Ehttps:\/\/www.scl.gatech.edu\/outreach\/supplychainday\u003C\/strong\u003E\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech Supply Chain\u0026nbsp;students and employers, please join us for our fall Supply Chain Day! 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Our goal is to highlight the versatile ways XR technologies are applied across various disciplines and majors, fostering\u0026nbsp;an\u0026nbsp;interdisciplinary community of innovation at Georgia Tech.\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003E\u003Cbr\u003E\u003Cstrong\u003EPresenter: Prithiv Premkumar\u003C\/strong\u003E\u0026nbsp;\u003Cbr\u003E\u0026nbsp;\u003C\/h2\u003E\u003Ch2\u003E\u003Cstrong\u003ESeminar Title:\u0026nbsp;\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003EMotion, Heart Rate, and Haptics: Using XR devices for Human Monitoring and Regulation\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003EAffiliation\u0026nbsp;\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003ESchool of Interactive Computing (Georgia Tech College of Computing), Georgia Tech Sonification Lab\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003EParticipation \u0026amp;\u0026nbsp;Visibility\u0026nbsp;\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.\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003ESubscribe \u0026amp; Sign Up\u0026nbsp;\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003ETo join our mailing list and RSVP your attendance for these seminar series, please sign up here: \u003Ca href=\u0022https:\/\/eforms.isye.gatech.edu\/form\/xr-rsvp?event=7050\u0022\u003E\u003Cstrong\u003ERSVP HERE\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E. \u003C\/strong\u003E\u003Cem\u003ELunch will be served for those who RSVP.\u003C\/em\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EXR Bytes\u003C\/strong\u003E\u0026nbsp;is a graduate-student-led initiative dedicated to\u0026nbsp;showcasing\u0026nbsp;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\u0026nbsp;an\u0026nbsp;interdisciplinary community of innovation at Georgia Tech.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Weekly research seminar series hosted by ADC XR Makerspace at ISyE"}],"uid":"36736","created_gmt":"2026-02-26 16:54:45","changed_gmt":"2026-03-04 20:26:26","author":"ebrown386","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-03T12:30:00-04:00","event_time_end":"2026-04-03T13:30:00-04:00","event_time_end_last":"2026-04-03T13:30:00-04:00","gmt_time_start":"2026-04-03 16:30:00","gmt_time_end":"2026-04-03 17:30:00","gmt_time_end_last":"2026-04-03 17:30:00","rrule":null,"timezone":"America\/New_York"},"location":"ADC XR Makerspace (ISyE Main 115)","extras":[],"hg_media":{"679450":{"id":"679450","type":"image","title":"XR Bytes - Prithiv Premkumar","body":null,"created":"1772125133","gmt_created":"2026-02-26 16:58:53","changed":"1772125133","gmt_changed":"2026-02-26 16:58:53","alt":"XR Bytes - Prithiv Premkumar","file":{"fid":"263614","name":"Unknown-9.png","image_path":"\/sites\/default\/files\/2026\/02\/26\/Unknown-9.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/26\/Unknown-9.png","mime":"image\/png","size":216840,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/26\/Unknown-9.png?itok=ePAAxXwn"}}},"media_ids":["679450"],"related_links":[{"url":"https:\/\/eforms.isye.gatech.edu\/form\/xr-rsvp?event=7050","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":"194684","name":"Free"},{"id":"194683","name":"Talk"}],"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":""}},"688545":{"#nid":"688545","#data":{"type":"event","title":"XR Bytes: Hanna Neroj (ADC XR Makerspace)","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EXR Bytes\u003C\/strong\u003E\u0026nbsp;is a graduate-student-led initiative dedicated to\u0026nbsp;showcasing\u0026nbsp;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\u0026nbsp;an\u0026nbsp;interdisciplinary community of innovation at Georgia Tech.\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003EPresenter: Hanna Neroj\u003C\/strong\u003E\u003C\/h2\u003E\u003Ch2\u003E\u003Cbr\u003E\u003Cstrong\u003ESeminar Title:\u0026nbsp;\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003ESimulating the Future: Experience Prototyping for Emerging Technologies via Multimodal XR\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003EAffiliation\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003ESchool of Psychology (Georgia Tech College of Sciences), Georgia Tech Sonification Lab\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003EParticipation \u0026amp;\u0026nbsp;Visibility\u0026nbsp;\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.\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003ESubscribe \u0026amp; Sign Up\u0026nbsp;\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003ETo join our mailing list and RSVP your attendance for these seminar series, please sign up here: \u003Ca href=\u0022https:\/\/eforms.isye.gatech.edu\/form\/xr-rsvp?event=7049\u0022\u003E\u003Cstrong\u003ERSVP HERE\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E. \u003C\/strong\u003E\u003Cem\u003ELunch will be served for those who RSVP.\u003C\/em\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EXR Bytes\u003C\/strong\u003E\u0026nbsp;is a graduate-student-led initiative dedicated to\u0026nbsp;showcasing\u0026nbsp;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\u0026nbsp;an\u0026nbsp;interdisciplinary community of innovation at Georgia Tech.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Weekly research seminar series hosted by ADC XR Makerspace at ISyE"}],"uid":"36736","created_gmt":"2026-02-26 16:48:37","changed_gmt":"2026-03-04 20:26:00","author":"ebrown386","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-20T12:30:00-04:00","event_time_end":"2026-03-20T13:30:00-04:00","event_time_end_last":"2026-03-20T13:30:00-04:00","gmt_time_start":"2026-03-20 16:30:00","gmt_time_end":"2026-03-20 17:30:00","gmt_time_end_last":"2026-03-20 17:30:00","rrule":null,"timezone":"America\/New_York"},"location":"ADC XR Makerspace (ISyE Main 115)","extras":[],"hg_media":{"679449":{"id":"679449","type":"image","title":"XR Bytes - Hanna Neroj ","body":null,"created":"1772124681","gmt_created":"2026-02-26 16:51:21","changed":"1772124681","gmt_changed":"2026-02-26 16:51:21","alt":"XR Bytes - Hanna Neroj ","file":{"fid":"263613","name":"Unknown-8.png","image_path":"\/sites\/default\/files\/2026\/02\/26\/Unknown-8.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/26\/Unknown-8.png","mime":"image\/png","size":177571,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/26\/Unknown-8.png?itok=wd45r9Ov"}}},"media_ids":["679449"],"related_links":[{"url":"https:\/\/eforms.isye.gatech.edu\/form\/xr-rsvp?event=7049","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":"194684","name":"Free"},{"id":"194683","name":"Talk"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"688544":{"#nid":"688544","#data":{"type":"event","title":"XR Bytes: Jorge Garcia (ADC XR Makerspace)","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EXR Bytes\u003C\/strong\u003E\u0026nbsp;is a graduate-student-led initiative dedicated to\u0026nbsp;showcasing\u0026nbsp;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\u0026nbsp;an\u0026nbsp;interdisciplinary community of innovation at Georgia Tech.\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003EPresenter: Jorge Garcia\u003C\/strong\u003E\u003C\/h2\u003E\u003Ch2\u003E\u003Cbr\u003E\u003Cstrong\u003ESeminar Title:\u0026nbsp;\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003EHuman-in-the-Loop and XR for Context-Rich Industrial Decision-Making\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003EAffiliation\u003C\/strong\u003E\u003C\/h2\u003E\u003Cdiv\u003E\u003Cdiv\u003EH. Milton Stewart School of Industrial and Systems Engineering \u0026nbsp;(ISyE), Physical Internet Center, Supply Chain \u0026amp; Logistics Institute\u0026nbsp;\u003Cbr\u003E\u0026nbsp;\u003C\/div\u003E\u003Ch2\u003E\u003Cstrong\u003EParticipation \u0026amp;\u0026nbsp;Visibility\u0026nbsp;\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.\u0026nbsp;\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003ESubscribe \u0026amp; Sign Up\u0026nbsp;\u003C\/strong\u003E\u003C\/h2\u003E\u003Cp\u003ETo join our mailing list and RSVP your attendance for these seminar series, please sign up here: \u003Ca href=\u0022https:\/\/eforms.isye.gatech.edu\/form\/xr-rsvp?event=7048\u0022 id=\u0022OWA22b64c58-63b7-d310-12aa-d03756bd4375\u0022 rel=\u0022noreferrer noopener\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/eforms.isye.gatech.edu\/form\/xr-rsvp\u0022\u003E\u003Cstrong\u003ERSVP HERE\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E. \u003C\/strong\u003E\u003Cem\u003ELunch will be served for those who RSVP.\u003C\/em\u003E\u003C\/p\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EXR Bytes\u003C\/strong\u003E\u0026nbsp;is a graduate-student-led initiative dedicated to\u0026nbsp;showcasing\u0026nbsp;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\u0026nbsp;an\u0026nbsp;interdisciplinary community of innovation at Georgia Tech.\u0026nbsp;\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Weekly research seminar series hosted by ADC XR Makerspace at ISyE"}],"uid":"36736","created_gmt":"2026-02-26 16:43:34","changed_gmt":"2026-03-04 20:25:46","author":"ebrown386","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-13T12:30:00-04:00","event_time_end":"2026-03-13T13:30:00-04:00","event_time_end_last":"2026-03-13T13:30:00-04:00","gmt_time_start":"2026-03-13 16:30:00","gmt_time_end":"2026-03-13 17:30:00","gmt_time_end_last":"2026-03-13 17:30:00","rrule":null,"timezone":"America\/New_York"},"location":"ADC XR Makerspace (ISyE Main 115)","extras":[],"hg_media":{"679448":{"id":"679448","type":"image","title":"XR Bytes - Jorge Garcia","body":null,"created":"1772124318","gmt_created":"2026-02-26 16:45:18","changed":"1772124318","gmt_changed":"2026-02-26 16:45:18","alt":"XR Bytes - Jorge Garcia","file":{"fid":"263612","name":"Unknown-7.png","image_path":"\/sites\/default\/files\/2026\/02\/26\/Unknown-7.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/26\/Unknown-7.png","mime":"image\/png","size":363445,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/26\/Unknown-7.png?itok=b_FgtnTX"}}},"media_ids":["679448"],"related_links":[{"url":"https:\/\/eforms.isye.gatech.edu\/form\/xr-rsvp?event=7048","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":"194683","name":"Talk"}],"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":""}},"688650":{"#nid":"688650","#data":{"type":"event","title":"ISyE Statistic Seminar - Ying Nian Wu","body":[{"value":"\u003Ch3\u003ETitle:\u003C\/h3\u003E\u003Cp\u003ESolving the Mysteries of Place Cells and Grid Cells by Representation Learning\u003C\/p\u003E\u003Ch3\u003EAbstract:\u003C\/h3\u003E\u003Cp\u003EThe 2014 Nobel Prize in Physiology or Medicine recognized the discovery of place cells and grid cells in the mammalian brain. Each place cell fires at a single specific location, whereas each grid cell fires at multiple locations forming a hexagonal grid pattern. Yet the computational principles underlying these phenomena have remained mysterious. We show both emerge from representation learning through geometric optimization. Grid cells learn embeddings that preserve local distances through conformal isometry, forming a coordinate system. We prove hexagonal patterns are optimal: hexagonal flat tori uniquely minimize deviation from local distance preservation by distributing curvature isotropically through six-fold symmetry. Building upon this coordinate system, place cells learn embeddings that preserve spatial adjacency relations defined by transition kernels of heat diffusion with reflecting boundary conditions, thereby forming a cognitive map. Specifically, inner products between embeddings reconstruct transition probabilities, causing localized firing patterns to emerge automatically from non-negative matrix factorization constraints. This reveals how the brain solves navigation by transforming spatial reasoning into optimization on learned geometric representations.\u003C\/p\u003E\u003Ch3\u003EBio:\u003C\/h3\u003E\u003Cp\u003EYing Nian Wu is a professor in the Department of Statistics and Data Science at UCLA. He earned his A.M. and Ph.D. in statistics from Harvard University in 1994 and 1996, respectively. From 1997 to 1999, he served as an assistant professor in the Department of Statistics at the University of Michigan before joining UCLA in 1999. He became a full professor in 2006, and he was an Amazon Scholar 2020-2025. Wu\u2019s research spans generative AI, computer vision, computational neuroscience, and bioinformatics.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe 2014 Nobel Prize in Physiology or Medicine recognized the discovery of place cells and grid cells in the mammalian brain. Each place cell fires at a single specific location, whereas each grid cell fires at multiple locations forming a hexagonal grid pattern. Yet the computational principles underlying these phenomena have remained mysterious. We show both emerge from representation learning through geometric optimization. Grid cells learn embeddings that preserve local distances through conformal isometry, forming a coordinate system. We prove hexagonal patterns are optimal: hexagonal flat tori uniquely minimize deviation from local distance preservation by distributing curvature isotropically through six-fold symmetry. Building upon this coordinate system, place cells learn embeddings that preserve spatial adjacency relations defined by transition kernels of heat diffusion with reflecting boundary conditions, thereby forming a cognitive map. Specifically, inner products between embeddings reconstruct transition probabilities, causing localized firing patterns to emerge automatically from non-negative matrix factorization constraints. This reveals how the brain solves navigation by transforming spatial reasoning into optimization on learned geometric representations.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Solving the Mysteries of Place Cells and Grid Cells by Representation Learning"}],"uid":"36861","created_gmt":"2026-03-03 15:36:02","changed_gmt":"2026-03-03 15:39:20","author":"adrysdale7","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-17T12:30:00-04:00","event_time_end":"2026-03-17T13:30:00-04:00","event_time_end_last":"2026-03-17T13:30:00-04:00","gmt_time_start":"2026-03-17 16:30:00","gmt_time_end":"2026-03-17 17:30:00","gmt_time_end_last":"2026-03-17 17:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"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":""}},"686706":{"#nid":"686706","#data":{"type":"event","title":"(CANCELED) 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":"2025-12-02 17:03:47","changed_gmt":"2026-03-03 14:43:34","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-20T20:00:00-04:00","event_time_end":"2026-04-22T16:00:00-04:00","event_time_end_last":"2026-04-22T16:00:00-04:00","gmt_time_start":"2026-04-21 00:00:00","gmt_time_end":"2026-04-22 20:00:00","gmt_time_end_last":"2026-04-22 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":"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":""}},"688040":{"#nid":"688040","#data":{"type":"event","title":"ISyE Seminar - Soroush Saghafian","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EMaking\u0026nbsp;AI\u0026nbsp;Impactful\u0026nbsp;in Healthcare\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThere\u0026nbsp;is\u0026nbsp;increasing\u0026nbsp;evidence\u0026nbsp;that\u0026nbsp;Machine\u0026nbsp;Learning\u0026nbsp;and\u0026nbsp;Artificial\u0026nbsp;intelligence\u0026nbsp;algorithms\u0026nbsp;can\u0026nbsp;be used to enhance clinical care. In this talk, I address two critical aspects that can significantly improve the impact\u0026nbsp;of\u0026nbsp;such\u0026nbsp;algorithms\u0026nbsp;in\u0026nbsp;healthcare\u0026nbsp;practices:\u0026nbsp;(1)\u0026nbsp;moving\u0026nbsp;beyond\u0026nbsp;associations\u0026nbsp;and\u0026nbsp;creating\u0026nbsp;algorithms capable of causal reasoning under ambiguity, and (2) a human-algorithm \u201ccentaur\u201d model of care and decision-making, in which the power of human intuition is combined with the outstanding capabilities of algorithms. I describe our latest research on these subjects at the Public Impact Analytics Science Lab (PIAS-Lab)\u0026nbsp;at Harvard, and discuss findings based on our various collaborations with the Mayo Clinic, Mass General Hospital, and some other public and private organizations.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003E\u003Ca href=\u0022http:\/\/scholar.harvard.edu\/saghafian\u0022\u003ESoroush\u0026nbsp;Saghafian\u003C\/a\u003E\u0026nbsp;(\u003Ca href=\u0022https:\/\/en.wikipedia.org\/wiki\/Soroush_Saghafian\u0022\u003EWikipedia\u003C\/a\u003E)\u0026nbsp;is\u0026nbsp;an\u0026nbsp;Associate\u0026nbsp;Professor\u0026nbsp;at\u0026nbsp;Harvard\u0026nbsp;University\u0026nbsp;and\u0026nbsp;is\u0026nbsp;the\u0026nbsp;founder\u0026nbsp;and director\u0026nbsp;of\u0026nbsp;Harvard\u2019s\u0026nbsp;\u003Ca href=\u0022https:\/\/scholar.harvard.edu\/saghafian\/public-impact-analytics-science-lab-pias-lab-harvard\u0022\u003EPublic\u0026nbsp;Impact\u0026nbsp;Analytics\u0026nbsp;Science\u0026nbsp;Lab\u0026nbsp;(PIAS-Lab).\u003C\/a\u003E\u0026nbsp;He\u0026nbsp;also\u0026nbsp;serves\u0026nbsp;as\u0026nbsp;a\u0026nbsp;core\u0026nbsp;faculty\u0026nbsp;or a faculty affiliate for (a) Harvard Data Science Initiative, (b) Harvard Mossavar-Rahmani Center for Business\u0026nbsp;and\u0026nbsp;Government,\u0026nbsp;(c)\u0026nbsp;Harvard\u0026nbsp;Center\u0026nbsp;for\u0026nbsp;Health\u0026nbsp;Decision\u0026nbsp;Science,\u0026nbsp;(d)\u0026nbsp;Harvard\u0026nbsp;Ph.D.\u0026nbsp;Program\u0026nbsp;in Health\u0026nbsp;Policy,\u0026nbsp;(e)\u0026nbsp;Harvard\u0026nbsp;Belfer\u0026nbsp;Center\u0026nbsp;for\u0026nbsp;Science\u0026nbsp;and\u0026nbsp;International\u0026nbsp;Affairs,\u0026nbsp;(f)\u0026nbsp;Harvard\u0026nbsp;Center\u0026nbsp;for\u0026nbsp;Public Leadership, and (g) Harvard Ariadne Labs (a pioneer lab in health systems innovation), and holds appointments\u0026nbsp;at\u0026nbsp;Massachusetts\u0026nbsp;General\u0026nbsp;Hospital\u0026nbsp;(MGH),\u0026nbsp;Beth\u0026nbsp;Israel\u0026nbsp;Deaconess\u0026nbsp;Medical\u0026nbsp;Center\u0026nbsp;(BIDMC), and Mayo Clinic.\u0026nbsp;He is an expert in healthcare AI, analytics, and operations management, and has collaborated\u0026nbsp;with\u0026nbsp;a\u0026nbsp;variety\u0026nbsp;of\u0026nbsp;hospitals.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDr.\u0026nbsp;Saghafian\u0027s\u0026nbsp;research\u0026nbsp;has\u0026nbsp;appeared\u0026nbsp;numerous\u0026nbsp;times\u0026nbsp;\u003Ca href=\u0022https:\/\/scholar.harvard.edu\/saghafian\/news-1\u0022\u003Ein\u0026nbsp;the\u0026nbsp;news\u003C\/a\u003E\u0026nbsp;including\u0026nbsp;in\u0026nbsp;top\u0026nbsp;national\u0026nbsp;and\u0026nbsp;international\u0026nbsp;media\u0026nbsp;outlets,\u0026nbsp;and\u0026nbsp;has\u0026nbsp;been\u0026nbsp;recognized\u0026nbsp;through\u0026nbsp;\u003Ca href=\u0022https:\/\/scholar.harvard.edu\/saghafian\/honors-awards\u0022\u003Evarious\u0026nbsp;awards,\u003C\/a\u003E including the\u0026nbsp;I\u003Cstrong\u003ENFORMS MSOM Young Scholar Prize\u0026nbsp;\u003C\/strong\u003Efor \u201coutstanding contributions to scholarship in operations management,\u201d \u003Cstrong\u003EINFORMS MSOM Responsible Research Award\u0026nbsp;\u003C\/strong\u003E(second place) for \u201ccontributing knowledge that may have implications for making the world a better place,\u201d the Inaugural \u003Cstrong\u003EINFORMS\u0026nbsp;Mehrotra\u0026nbsp;Research\u0026nbsp;Excellence\u0026nbsp;Award\u0026nbsp;\u003C\/strong\u003E\u201cfor\u0026nbsp;significant\u0026nbsp;contributions\u0026nbsp;to\u0026nbsp;the\u0026nbsp;practice\u0026nbsp;of\u0026nbsp;health applications through operations research and management science modeling and methodologies,\u201d \u003Cstrong\u003EINFORMS\u0026nbsp;Computing\u0026nbsp;Society\u0026nbsp;Harvey\u0026nbsp;Greenberg\u0026nbsp;Award\u0026nbsp;\u003C\/strong\u003E(honorable\u0026nbsp;mention)\u0026nbsp;\u201cfor\u0026nbsp;research\u0026nbsp;excellence in the field of computation and operations research applications, especially those in emerging application fields,\u201d\u0026nbsp;\u003Cstrong\u003EINFORMS Pierskalla Award\u0026nbsp;\u003C\/strong\u003E\u201cfor the best research paper in healthcare,\u201d \u003Cstrong\u003EINFORMS Franz Edelman Award \u003C\/strong\u003E(semi-finalist) \u201cfor achievement in advanced analytics, operations research, and management\u0026nbsp;science,\u201d\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EPOMS\u0026nbsp;College\u0026nbsp;of\u0026nbsp;Healthcare\u0026nbsp;Best\u0026nbsp;Paper\u0026nbsp;Award\u003C\/strong\u003E.\u0026nbsp;His\u0026nbsp;forthcoming\u0026nbsp;book\u0026nbsp;with Cambridge University\u0026nbsp;Press,\u0026nbsp;\u201cInsight-Driven\u0026nbsp;Problem\u0026nbsp;Solving:\u0026nbsp;Analytics\u0026nbsp;Science\u0026nbsp;to\u0026nbsp;Improve the\u0026nbsp;World,\u201d has been endorsed\u0026nbsp;by top academic and industry figures [Full CV \u003Ca href=\u0022https:\/\/apps.hks.harvard.edu\/faculty\/cv\/SoroushSaghafian.pdf\u0022\u003Ehere\u003C\/a\u003E].\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Ch3\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThere\u0026nbsp;is\u0026nbsp;increasing\u0026nbsp;evidence\u0026nbsp;that\u0026nbsp;Machine\u0026nbsp;Learning\u0026nbsp;and\u0026nbsp;Artificial\u0026nbsp;intelligence\u0026nbsp;algorithms\u0026nbsp;can\u0026nbsp;be used to enhance clinical care. In this talk, I address two critical aspects that can significantly improve the impact\u0026nbsp;of\u0026nbsp;such\u0026nbsp;algorithms\u0026nbsp;in\u0026nbsp;healthcare\u0026nbsp;practices:\u0026nbsp;(1)\u0026nbsp;moving\u0026nbsp;beyond\u0026nbsp;associations\u0026nbsp;and\u0026nbsp;creating\u0026nbsp;algorithms capable of causal reasoning under ambiguity, and (2) a human-algorithm \u201ccentaur\u201d model of care and decision-making, in which the power of human intuition is combined with the outstanding capabilities of algorithms. I describe our latest research on these subjects at the Public Impact Analytics Science Lab (PIAS-Lab)\u0026nbsp;at Harvard, and discuss findings based on our various collaborations with the Mayo Clinic, Mass General Hospital, and some other public and private organizations.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Making AI Impactful in Healthcare"}],"uid":"34977","created_gmt":"2026-02-05 15:16:26","changed_gmt":"2026-03-02 12:51:10","author":"Julie Smith","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-03T11:00:00-05:00","event_time_end":"2026-03-03T12:00:00-05:00","event_time_end_last":"2026-03-03T12:00:00-05:00","gmt_time_start":"2026-03-03 16:00:00","gmt_time_end":"2026-03-03 17:00:00","gmt_time_end_last":"2026-03-03 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"ISyE Main 228","extras":[],"groups":[{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"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":""}},"687593":{"#nid":"687593","#data":{"type":"event","title":"SCL Lunch and Learn: \u0022Ahead of the Curve: Building the Electrified Supply Chain\u0022","body":[{"value":"\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EJoin SCL affiliated faculty member Constance Crozier as she shares insights from her research and explains the forces that will define the future of freight electrification.\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EThursday, March 5, 2026 | 12-1pm ET\u003C\/strong\u003E\u003C\/p\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003EElectric vehicles are reshaping freight networks, charging demand is growing faster than infrastructure can keep up, and companies are trying to understand how electrification will change the cost and design of their supply chains. Georgia Tech Assistant Professor, Dr. Constance Crozier\u2019s research tackles these questions with models that capture grid constraints, charging behavior, transportation patterns, and the economic tradeoffs behind electrified logistics. In this session, she will walk through the forces that will define the future of freight electrification.\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/gatech.zoom.us\/webinar\/register\/9317690984289\/WN_3tkM1P6rQl2Hiu5dWiaLgQ\u0022\u003E\u003Cstrong\u003ERegister Online to Attend\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EElectric vehicles are reshaping freight networks, charging demand is growing faster than infrastructure can keep up, and companies are trying to understand how electrification will change the cost and design of their supply chains.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Join SCL affiliated faculty member Constance Crozier as she shares insights from her research and explains the forces that will define the future of freight electrification."}],"uid":"27233","created_gmt":"2026-01-22 16:30:00","changed_gmt":"2026-02-27 14:06:45","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-05T12:00:00-05:00","event_time_end":"2026-03-05T13:00:00-05:00","event_time_end_last":"2026-03-05T13:00:00-05:00","gmt_time_start":"2026-03-05 17:00:00","gmt_time_end":"2026-03-05 18:00:00","gmt_time_end_last":"2026-03-05 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Online via Zoom","extras":[],"hg_media":{"679060":{"id":"679060","type":"image","title":"Reminder---Lunch---Learns.png","body":null,"created":"1769099657","gmt_created":"2026-01-22 16:34:17","changed":"1772200921","gmt_changed":"2026-02-27 14:02:01","alt":"SCL Lunch and Learn: \u0022Ahead of the Curve: Building the Electrified Supply Chain\u0022","file":{"fid":"263636","name":"Reminder---Lunch---Learns.png","image_path":"\/sites\/default\/files\/2026\/02\/27\/Reminder---Lunch---Learns.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/27\/Reminder---Lunch---Learns.png","mime":"image\/png","size":107892,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/27\/Reminder---Lunch---Learns.png?itok=EPnfo1IH"}}},"media_ids":["679060"],"related_links":[{"url":"https:\/\/gatech.zoom.us\/webinar\/register\/9317690984289\/WN_3tkM1P6rQl2Hiu5dWiaLgQ","title":"Register Online to Attend the Webinar"},{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education","title":"Professional Education at the Georgia Tech Supply Chain and Logistics Institute"}],"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":"3615","name":"information session"},{"id":"186857","name":"go-gtmi"},{"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\u003Ecourse@scl.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"688389":{"#nid":"688389","#data":{"type":"event","title":"SCL Lunch and Learn: \u0022Ahead of the Curve: The Hidden Data Supply Chain Propelling AI\u0022","body":[{"value":"\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EJoin SCL affiliated faculty member Rosemarie Santa Gonz\u00e1lez as she shares insights from her research and explores why AI initiatives often fail at the data supply chain.\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EThursday, April 2, 2026 | 12-1pm ET\u003C\/strong\u003E\u003C\/p\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003EAI initiatives often struggle not because of model sophistication, but because the underlying data supply chain has not been mapped, synchronized, or aligned with operational decision-making. Just as a physical supply chain cannot function without visibility, coordination, and flow from source to destination, AI systems cannot create value when data sources are siloed, inconsistently governed, or disconnected from the \u201clast mile\u201d of decision execution. Even well designed models stall when the upstream data inputs are unreliable or the downstream decision processes are unclear.\u003C\/p\u003E\u003Cp\u003EThis talk reframes AI implementation through the lens of the hidden data supply chain that propels it - from data sourcing and acquisition, to transformation, integration, governance, and delivery into decision environments. We will explore the continuous loop between data engineering and AI development, showing how model requirements should shape data architecture from the outset, and why data pipelines must be engineered as critical infrastructure rather than reactive fixes. Participants will leave with a practical framework for mapping their data supply chain, identifying bottlenecks and failure points in the data-to-decision flow, and building resilient data architectures that support reliable, explainable, and production ready AI systems.\u003C\/p\u003E\u003Cp\u003EFeaturing Rosemarie Santa Gonz\u00e1lez, Ph.D., Research Scientist in the Institute for Robotics and Intelligent Machines (IRIM) and the NSF AI\u2011CARING Institute at Georgia Tech, and an instructor in the SCL professional education program.\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/gatech.zoom.us\/webinar\/register\/7117715216849\/WN_mjKMn5ZAR7CX4Z_0Ieh3cQ\u0022\u003E\u003Cstrong\u003ERegister Online to Attend\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EAI initiatives often struggle not because the model is weak, but because the data supply chain is. In this Lunch and Learn, we will map the hidden system that powers AI, from data sourcing and acquisition through transformation, integration, governance, and delivery into real decision environments. You will leave with a practical framework to identify bottlenecks in the data-to-decision flow and build resilient, production-ready pipelines that make AI reliable, explainable, and usable.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Join SCL affiliated faculty member Rosemarie Santa Gonz\u00e1lez as she shares insights from her research and explores why AI initiatives often fail at the data supply chain."}],"uid":"27233","created_gmt":"2026-02-19 18:16:24","changed_gmt":"2026-02-27 13:37:26","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-02T12:00:00-04:00","event_time_end":"2026-04-02T13:00:00-04:00","event_time_end_last":"2026-04-02T13:00:00-04:00","gmt_time_start":"2026-04-02 16:00:00","gmt_time_end":"2026-04-02 17:00:00","gmt_time_end_last":"2026-04-02 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Online via Zoom","extras":[],"hg_media":{"679369":{"id":"679369","type":"image","title":"SCL Lunch and Learn: \u0022Ahead of the Curve: The Hidden Data Supply Chain Propelling AI\u0022","body":null,"created":"1771526105","gmt_created":"2026-02-19 18:35:05","changed":"1771526132","gmt_changed":"2026-02-19 18:35:32","alt":"SCL Lunch and Learn: \u0022Ahead of the Curve: The Hidden Data Supply Chain Propelling AI\u0022","file":{"fid":"263519","name":"hg_LNL_HiddenSCData_20260402.png","image_path":"\/sites\/default\/files\/2026\/02\/19\/hg_LNL_HiddenSCData_20260402.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/19\/hg_LNL_HiddenSCData_20260402.png","mime":"image\/png","size":112330,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/19\/hg_LNL_HiddenSCData_20260402.png?itok=wkhi1fMl"}}},"media_ids":["679369"],"related_links":[{"url":"https:\/\/gatech.zoom.us\/webinar\/register\/7117715216849\/WN_mjKMn5ZAR7CX4Z_0Ieh3cQ","title":"Register Online to Attend the Webinar"},{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education","title":"Professional Education at the Georgia Tech Supply Chain and Logistics Institute"}],"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":"3615","name":"information session"},{"id":"186857","name":"go-gtmi"},{"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\u003Ecourse@scl.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"687141":{"#nid":"687141","#data":{"type":"event","title":"Allen\u2013Davidson\u2013Coleman XR Makerspace Grand Opening","body":[{"value":"\u003Cp\u003ECelebrate the opening of the Allen\u2013Davidson\u2013Coleman XR Makerspace with an interdisciplinary XR Symposium bringing together faculty, students, and staff interested in immersive technologies for research, education, and human-centered engineering. Plus, guests will enjoy a speaker symposium, networking, and a hands-on open house with live XR demonstrations.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EJanuary 23, 2026\u003C\/strong\u003E\u003Cbr\u003E10:30 AM \u2013 4:00 PM\u0026nbsp;\u003Cbr\u003EISyE Main Building\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAgenda:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003E10:30 AM \u2013 Noon (ISyE Main Atrium):\u003C\/strong\u003E\u003Cbr\u003EXR Symposium: Invited Talks - Short talks and discussion on XR research and applications across campus\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ENoon \u2013 1:00 PM (ISyE Main Atrium):\u0026nbsp;\u003C\/strong\u003E\u003Cbr\u003ELunch \u0026amp; Networking: Informal networking in the ISyE Main Atrium\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003E1:00 \u2013 4:00 PM (ISyE Main 115)\u003C\/strong\u003E\u003Cbr\u003EXR Makerspace Open House \u0026amp; Demos: Hands-on demonstrations, guided tours, and conversations with XR Makerspace staff and researchers\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EInvited Speakers:\u003C\/strong\u003E\u003Cbr\u003E\u003Cbr\u003E\u003Cstrong\u003EBruce Walker\u003C\/strong\u003E, School of Psychology \u0026amp; School of Interactive Computing, Georgia Tech\u003Cbr\u003E\u003Cstrong\u003ETalk Title:\u003C\/strong\u003E\u0026nbsp;Research With, About, and In Virtual Reality: A Sample of Sonification Lab XR R\u0026amp;D Projects\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Bruce N. Walker is Professor of Psychology and Interactive Computing at Georgia Tech. His Sonification Lab studies multimodal interfaces, sonification and auditory displays, and human-technology interaction in complex tasks, futuristic technologies, and VR\/AR\/XR. Dr. Walker is founding Director of VRlandia, a GT shared collaboratory for VR\/AR\/XR research and development. He is also Director of the Center for Human-AI-Robot Interaction (CHART). He teaches HCI, Sensation \u0026amp; Perception, and Assistive Technology; and has consulted for NASA, state and federal governments, the military, and private companies.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EFrederick Benaben\u003C\/strong\u003E, H. Milton Stewart School of Industrial \u0026amp; Systems Engineering, Georgia Tech\u003Cbr\u003E\u003Cstrong\u003ETalk Title:\u003C\/strong\u003E\u0026nbsp;A Framework for Immersive Technologies in Engineering: An Illustrated Perspective\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Frederick Benaben is Tenured Full Professor at Institut Mines Telecom in France (Industrial Engineering Center) and Visiting Professor at the Georgia Institute of Technology. His research focuses on the use of Artificial Intelligence and Immersive Technologies for decision support and the management of complex situations in uncertain environments. He is the head of the \u201cDigital Systems for Crisis Management and Security\u201d research team at IMT, directs the IOMEGA VR Lab, leads the POD (Physics of Decision) and HITeC (Hybrid Immersive Teaching Campus) initiatives, and co-directs the international SIReN Lab with Georgia Tech.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EShreyas Kousik\u003C\/strong\u003E, George W. Woodruff School of Mechanical Engineering, Georgia Tech\u003Cbr\u003E\u003Cstrong\u003ETalk Title:\u003C\/strong\u003E\u0026nbsp;Do Dangerous Things Safely in XR Humanoid Robot Teleoperation\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Shreyas Kousik is an assistant professor in the Mechanical Engineering at Georgia Tech. He previously held postdoctoral appointments at Stanford University and in the NAV Lab with Prof. Grace Gao. He earned his Ph.D. in Mechanical Engineering from the University of Michigan, advised by Prof. Ram Vasudevan in the ROAHM Lab. His research focuses on guaranteeing safety in autonomous robotic systems through collision avoidance, with an emphasis on modeling uncertainty in perception and estimation for practical planning and control on real robots.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWayne Li\u003C\/strong\u003E, Colleges of Design and Engineering, Georgia Tech\u003Cbr\u003E\u003Cstrong\u003ETalk Title:\u003C\/strong\u003E\u0026nbsp;Using XR for Automotive Interior Development (Hyundai Project)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Wayne K. Li is the James L. Oliver Professor, holding a joint position between the Colleges of Design and Engineering at Georgia Institute of Technology. He leads joint teaching initiatives and advances interdisciplinary collaboration between mechanical engineering and industrial design through classes and the Innovation and Design Collaborative (IDC) and Design Bloc. Li\u0027s research areas include ethnographic research, multidisciplinary online education, and human-machine interaction in transportation design. His career spans industry and academia. Li has led innovation and market expansion for Pottery Barn seasonal home products, taught in Stanford University\u0027s design program, led interface development at Volkswagen of America\u0027s Electronics Research Laboratory, and developed corporate brand and vehicle differentiation strategies at Ford Motor Company. He has also worked as a product designer and mechanical engineer at IDEO Product Development.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EMeryem Yilmaz Soylu\u003C\/strong\u003E, Center for 21st Century Universities, Georgia Tech\u003Cbr\u003E\u003Cstrong\u003ETalk Title: \u003C\/strong\u003EDesigning Human-Centered XR for Learning, Reflection, and Skill Development\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Meryem Yilmaz Soylu is a Research Scientist at Georgia Tech\u2019s Center for 21st Century Universities (C21U) within the College of Lifetime Learning, where her work focuses on human-centered learning design, immersive technologies, and AI-supported educational systems. Her research examines how XR and AI can support learning experiences and engagement, leadership, and durable skills development across online and hybrid learning environments. Her work combines mixed-methods research and learner experience (UX) design to inform the design and evaluation of real-world educational systems.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJoin us for the opening of the Allen\u2013Davidson\u2013Coleman XR Makerspace with an interdisciplinary XR Symposium that convenes faculty, students, and staff to engage with immersive technologies shaping research, education, and human-centered engineering.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Celebrate the opening of the Allen\u2013Davidson\u2013Coleman XR Makerspace "}],"uid":"36736","created_gmt":"2026-01-09 19:42:58","changed_gmt":"2026-02-25 20:14:43","author":"ebrown386","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-01-23T10:30:00-05:00","event_time_end":"2026-01-23T16:00:00-05:00","event_time_end_last":"2026-01-23T16:00:00-05:00","gmt_time_start":"2026-01-23 15:30:00","gmt_time_end":"2026-01-23 21:00:00","gmt_time_end_last":"2026-01-23 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"ISyE Main Building","extras":[],"related_links":[{"url":"https:\/\/eforms.isye.gatech.edu\/grand-opening-xr-makerspace","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":"194683","name":"Talk"},{"id":"1789","name":"Conference\/Symposium"},{"id":"194613","name":"Industry"}],"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":""}},"688415":{"#nid":"688415","#data":{"type":"event","title":"Free Safety Training on Warehouse Hazards in the Workplace for Employers and Employees","body":[{"value":"\u003Cp\u003E\u003Cem\u003EGeorgia Tech is providing FREE four-hour training, funded by a Susan Harwood Grant, on Warehouse Hazards in the Workplace for Employers and Employees.\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EThe free course will address how to prevent injury and illness due to workplace exposures in warehouses.\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Ch3\u003ETopics to Cover:\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003ERecognition of safety hazards in warehousing facilities and prevention strategies\u003C\/li\u003E\u003Cli\u003EPowered Industrial Truck safety and responsibilities\u003C\/li\u003E\u003Cli\u003EErgonomic best practices and safe material handling\u003C\/li\u003E\u003Cli\u003EChemical and thermal stressor risk assessments and strategies\u003C\/li\u003E\u003C\/ul\u003E\u003Ch4\u003EAvailable Sessions\u003C\/h4\u003E\u003Cul\u003E\u003Cli\u003ETuesday, \u003Cstrong\u003EMarch 24\u003C\/strong\u003E, 1-5pm (\u003Ca href=\u0022https:\/\/www.eventbrite.com\/e\/warehousing-hazards-in-the-workplace-tickets-1983293288615\u0022\u003Eregister online\u003C\/a\u003E)\u003C\/li\u003E\u003Cli\u003EWednesday, \u003Cstrong\u003EMarch 25\u003C\/strong\u003E, 8-12pm (\u003Ca href=\u0022https:\/\/www.eventbrite.com\/e\/warehousing-hazards-in-the-workplace-tickets-1983293609575\u0022\u003Eregister online\u003C\/a\u003E)\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EEach session to be held at the below location:\u003C\/p\u003E\u003Cp\u003EProfessional Administration Resource Building\u003Cbr\u003EGeorgia Tech Savannah Campus\u003Cbr\u003E210 Technology Circle\u003Cbr\u003ESavannah, GA 31408\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EWe will have the capability to provide on-site training. Training materials and course content will be offered at no cost to interested facilities. \u003C\/em\u003E\u003Ca href=\u0022https:\/\/oshainfo.gatech.edu\/\u0022\u003E\u003Cem\u003Eoshainfo.gatech.edu\u003C\/em\u003E\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech is providing FREE four-hour training, funded by a Susan Harwood Grant, on Warehouse Hazards in the Workplace for Employers and Employees. Sessions to be held March 24th or March 25 on the Georgia Tech Savannah campus.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech is providing FREE four-hour training, funded by a Susan Harwood Grant, on Warehouse Hazards in the Workplace for Employers and Employees."}],"uid":"27233","created_gmt":"2026-02-20 14:53:37","changed_gmt":"2026-02-20 14:54:25","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-25T08:00:00-04:00","event_time_end":"2026-03-25T12:00:00-04:00","event_time_end_last":"2026-03-25T12:00:00-04:00","gmt_time_start":"2026-03-25 12:00:00","gmt_time_end":"2026-03-25 16:00:00","gmt_time_end_last":"2026-03-25 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Georgia Tech Savannah Campus","extras":[],"hg_media":{"679374":{"id":"679374","type":"image","title":"GTSCL-SHES_MarchSafetyTrainings_16by9.jpg","body":null,"created":"1771597216","gmt_created":"2026-02-20 14:20:16","changed":"1771598958","gmt_changed":"2026-02-20 14:49:18","alt":"Free Safety Training on Warehouse Hazards in the Workplace for Employers and Employees","file":{"fid":"263526","name":"GTSCL-SHES_MarchSafetyTrainings_16by9.jpg","image_path":"\/sites\/default\/files\/2026\/02\/20\/GTSCL-SHES_MarchSafetyTrainings_16by9.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/20\/GTSCL-SHES_MarchSafetyTrainings_16by9.jpg","mime":"image\/jpeg","size":231096,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/20\/GTSCL-SHES_MarchSafetyTrainings_16by9.jpg?itok=kTfHYxsw"}}},"media_ids":["679374"],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/sites\/default\/files\/2026-02\/GTSHES_FreeSafetyTrainings_202603.pdf","title":"Download the flyer"}],"groups":[{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"5457","name":"warehouse"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194684","name":"Free"},{"id":"10377","name":"Career\/Professional development"},{"id":"194613","name":"Industry"},{"id":"26411","name":"Training\/Workshop"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EQuestions? \u003Ca href=\u0022mailto:jsawyers3@gatech.edu\u0022\u003EContact Trey Sawyers\u003C\/a\u003E, Training Coordinator\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"688412":{"#nid":"688412","#data":{"type":"event","title":"Free Safety Training on Warehouse Hazards in the Workplace for Employers and Employees","body":[{"value":"\u003Cp\u003E\u003Cem\u003EGeorgia Tech is providing FREE four-hour training, funded by a Susan Harwood Grant, on Warehouse Hazards in the Workplace for Employers and Employees.\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EThe free course will address how to prevent injury and illness due to workplace exposures in warehouses.\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Ch3\u003ETopics to Cover:\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003ERecognition of safety hazards in warehousing facilities and prevention strategies\u003C\/li\u003E\u003Cli\u003EPowered Industrial Truck safety and responsibilities \u003C\/li\u003E\u003Cli\u003EErgonomic best practices and safe material handling\u003C\/li\u003E\u003Cli\u003EChemical and thermal stressor risk assessments and strategies\u003C\/li\u003E\u003C\/ul\u003E\u003Ch4\u003EAvailable Sessions\u003C\/h4\u003E\u003Cul\u003E\u003Cli\u003ETuesday, \u003Cstrong\u003EMarch 24\u003C\/strong\u003E, 1-5pm (\u003Ca href=\u0022https:\/\/www.eventbrite.com\/e\/warehousing-hazards-in-the-workplace-tickets-1983293288615\u0022\u003Eregister online\u003C\/a\u003E)\u003C\/li\u003E\u003Cli\u003EWednesday, \u003Cstrong\u003EMarch 25\u003C\/strong\u003E, 8-12pm (\u003Ca href=\u0022https:\/\/www.eventbrite.com\/e\/warehousing-hazards-in-the-workplace-tickets-1983293609575\u0022\u003Eregister online\u003C\/a\u003E)\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EEach session to be held at the below location:\u003C\/p\u003E\u003Cp\u003EProfessional Administration Resource Building\u003Cbr\u003EGeorgia Tech Savannah Campus\u003Cbr\u003E210 Technology Circle\u003Cbr\u003ESavannah, GA 31408\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EWe will have the capability to provide on-site training. Training materials and course content will be offered at no cost to interested facilities. \u003C\/em\u003E\u003Ca href=\u0022https:\/\/oshainfo.gatech.edu\/\u0022\u003E\u003Cem\u003Eoshainfo.gatech.edu\u003C\/em\u003E\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech is providing FREE four-hour training, funded by a Susan Harwood Grant, on Warehouse Hazards in the Workplace for Employers and Employees. Sessions to be held March 24th or March 25 on the Georgia Tech Savannah campus.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech is providing FREE four-hour training, funded by a Susan Harwood Grant, on Warehouse Hazards in the Workplace for Employers and Employees."}],"uid":"27233","created_gmt":"2026-02-20 14:22:13","changed_gmt":"2026-02-20 14:48:41","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-24T13:00:00-04:00","event_time_end":"2026-03-24T17:00:00-04:00","event_time_end_last":"2026-03-24T17:00:00-04:00","gmt_time_start":"2026-03-24 17:00:00","gmt_time_end":"2026-03-24 21:00:00","gmt_time_end_last":"2026-03-24 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Georgia Tech Savannah Campus","extras":[],"hg_media":{"679374":{"id":"679374","type":"image","title":"GTSCL-SHES_MarchSafetyTrainings_16by9.jpg","body":null,"created":"1771597216","gmt_created":"2026-02-20 14:20:16","changed":"1771598958","gmt_changed":"2026-02-20 14:49:18","alt":"Free Safety Training on Warehouse Hazards in the Workplace for Employers and Employees","file":{"fid":"263526","name":"GTSCL-SHES_MarchSafetyTrainings_16by9.jpg","image_path":"\/sites\/default\/files\/2026\/02\/20\/GTSCL-SHES_MarchSafetyTrainings_16by9.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/20\/GTSCL-SHES_MarchSafetyTrainings_16by9.jpg","mime":"image\/jpeg","size":231096,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/20\/GTSCL-SHES_MarchSafetyTrainings_16by9.jpg?itok=kTfHYxsw"}}},"media_ids":["679374"],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/sites\/default\/files\/2026-02\/GTSHES_FreeSafetyTrainings_202603.pdf","title":"Download the flyer"}],"groups":[{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"5457","name":"warehouse"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194684","name":"Free"},{"id":"10377","name":"Career\/Professional development"},{"id":"194613","name":"Industry"},{"id":"26411","name":"Training\/Workshop"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EQuestions? \u003Ca href=\u0022mailto:jsawyers3@gatech.edu\u0022\u003EContact Trey Sawyers\u003C\/a\u003E, Training Coordinator\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"687992":{"#nid":"687992","#data":{"type":"event","title":"2026 ISyE LeeAnn and Walter Muller Distinguished Lecture Series: Eddie Capel","body":[{"value":"\u003Ch2\u003E2026 LeeAnn and Walter Muller Distinguished Lecture Series, Eddie Capel\u003C\/h2\u003E\u003Cp\u003E\u003Cstrong\u003ELeading with Purpose and Innovation: Manhattan Associates\u0027 Journey\u003C\/strong\u003E\u003Cbr\u003EISyE Main\u003Cbr\u003EThursday, February 26, 2026\u003Cbr\u003E3:30-4:30PM\u0026nbsp;\u003Cbr\u003EReception to follow.\u0026nbsp;\u003C\/p\u003E\u003Ch5\u003E\u003Cstrong\u003ERSVP here: https:\/\/eforms.isye.gatech.edu\/2026-distinguished-lecture-series\u003C\/strong\u003E\u003C\/h5\u003E\u003Ch2\u003E\u003Cbr\u003EAbstract: Eddie Capel, Keynote Speaker\u003Cbr\u003E\u0026nbsp;\u003C\/h2\u003E\u003Cp\u003EOver the past 25 years, Manhattan Associates has played a pivotal role in transforming global supply chains, enabling many of the world\u2019s largest retailers, brands, pharmaceutical distributors, and logistics providers to operate faster, smarter, and more reliably.\u003Cbr\u003E\u003Cbr\u003EIn this lecture, Eddie Capel, chairman of the board at Manhattan Associates, will reflect on Manhattan\u2019s journey and evolution during a period of continuous technological disruption, from the early days of the internet, through the shift to cloud-native platforms, and into today\u2019s AI-driven era. He will discuss how being an early adopter of emerging technologies, combined with disciplined engineering thinking and foundation, allowed Manhattan to build and continuously reinvent its solutions, and sustain industry leadership.\u003C\/p\u003E\u003Cp\u003E\u003Cbr\u003EThe session highlights how strategic technology choices, long-term R\u0026amp;D investment, and a strong culture enabled Manhattan to deliver significant gains in supply chain efficiency and productivity. Eddie will also share leadership lessons for the next generation, emphasizing curiosity, adaptability, and the importance of embracing new technologies early to shape, rather than react to, the future of the overall industry.\u003C\/p\u003E\u003Ch2\u003E\u0026nbsp;\u003C\/h2\u003E\u003Ch2\u003EAbout: Eddie Capel, Keynote Speaker\u003Cbr\u003E\u0026nbsp;\u003C\/h2\u003E\u003Cp\u003EEddie Capel serves as the executive chairman of the board at Manhattan Associates. He previously served as executive vice-chairman for three months from February 2025 until end of 2025. Before that, beginning in 2013, Mr. Capel led the company as its president and CEO, driving innovation and growth. Prior to that, he served as executive vice president and chief operating officer. With more than 30 years of experience in supply chain strategy and operations, Mr. Capel has played a pivotal role in shaping industry-leading solutions.\u003C\/p\u003E\u003Cp\u003EBefore joining Manhattan Associates in June 2000, Mr. Capel held key leadership positions at Real Time Solutions (RTS), where he served as chief operations officer and vice president of operations. In these roles, he led teams that supported the supply chain strategies of major companies, including Walmart, Amazon.com, and J.C. Penney. He also served as director of operations at Unarco Automation, an Industrial Automation\/Robotics systems integrator. Earlier in his career, he worked as a project manager and system designer for ABB Robotics in the United Kingdom.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003E2026 ISyE LeeAnn and Walter Muller Distinguished Scholarship Lecture Series\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"2026 ISyE LeeAnn and Walter Muller Distinguished Scholarship Lecture Series"}],"uid":"36736","created_gmt":"2026-02-03 14:38:35","changed_gmt":"2026-02-19 20:02:54","author":"ebrown386","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-26T15:30:00-05:00","event_time_end":"2026-02-26T16:30:00-05:00","event_time_end_last":"2026-02-26T16:30:00-05:00","gmt_time_start":"2026-02-26 20:30:00","gmt_time_end":"2026-02-26 21:30:00","gmt_time_end_last":"2026-02-26 21:30:00","rrule":null,"timezone":"America\/New_York"},"location":"ISyE Main Atrium","extras":[],"hg_media":{"679174":{"id":"679174","type":"image","title":"2026 ISyE LeeAnn and Walter Muller Distinguished Scholarship Lecture Series: Eddie Capel","body":null,"created":"1770129596","gmt_created":"2026-02-03 14:39:56","changed":"1770129596","gmt_changed":"2026-02-03 14:39:56","alt":"2026 ISyE LeeAnn and Walter Muller Distinguished Scholarship Lecture Series: Eddie Capel","file":{"fid":"263302","name":"Monitor-Template_2.png","image_path":"\/sites\/default\/files\/2026\/02\/03\/Monitor-Template_2.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/03\/Monitor-Template_2.png","mime":"image\/png","size":2835066,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/03\/Monitor-Template_2.png?itok=UAoEImPh"}}},"media_ids":["679174"],"related_links":[{"url":"https:\/\/eforms.isye.gatech.edu\/2026-distinguished-lecture-series","title":"RSVP"}],"groups":[{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[{"id":"168400","name":"ISyE Distinguished Lecture"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194683","name":"Talk"},{"id":"194613","name":"Industry"},{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"688279":{"#nid":"688279","#data":{"type":"event","title":"CHHS Webinar Series: \u0022Wildfire Smoke and Health Impacts \u2014 Preliminary Results and Research Opportunities\u0022","body":[{"value":"\u003Cp\u003EWildfire smoke poses an imminent public health threat by releasing large amounts of toxic pollutants into the atmosphere. Of particular concern is fine particulate matter \u003Ccode\u003E\u003Cem\u003EPM2.5\u003C\/em\u003E\u003C\/code\u003E, which contributes to 90% of the total particle mass emitted during these events. Because these particles are small enough to enter the bloodstream, the ability to \u0022see,\u0022 \u0022track,\u0022 and \u0022predict\u0022 the spread of smoke has become an urgent task with significant societal implications.\u003C\/p\u003E\u003Cp\u003EThis threat is especially acute for vulnerable populations, including children, pregnant women, older adults, and outdoor workers, as well as those with preexisting cardiovascular disease or from low socioeconomic status groups. Developing a robust tracking capability is critical for generating accurate, real-time air quality predictions during active wildfire episodes, allowing these individuals to take timely and effective mitigation actions.\u003C\/p\u003E\u003Cp\u003EBeyond immediate safety, advanced modeling provides a vital dataset for scientific investigations into the long-term health impacts of wildfires. By leveraging the generative nature of modern AI, we can efficiently simulate multiple smoke spread scenarios under various conditions. This facilitates long-term planning for essential services, such as managing hospital capacity during fire events, directing traffic, and informing insurance policy.\u003C\/p\u003E\u003Cp\u003EThis talk will present preliminary results on the modeling and prediction of wildfire smoke using a combination of remote-sensing and computer simulation data. We will also explore future research opportunities in this rapidly evolving field of environmental health and data science.\u003C\/p\u003E\u003Cp\u003EFeaturing \u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/users\/xiao-liu\u0022\u003EXiao Liu, PhD\u003C\/a\u003E, David M. McKenney Family Associate Professor, \u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/\u0022\u003EH. Milton Stewart School of Industrial and Systems Engineering\u003C\/a\u003E, Georgia Tech \u003Ca href=\u0022https:\/\/chhs.gatech.edu\/\u0022\u003ECenter for Health and Humanitarian Systems\u003C\/a\u003E. Dr. Liu\u0027s research focuses on developing data-driven methods for scientific and engineering applications. His work has been published in leading Industrial Engineering and Statistics journals, including JASA, and AOAS. He has served as the president of the Data Analytics \u0026amp; Information Systems division of IISE and as Program Chair for the 2025 IISE Annual Conference \u0026amp; Expo. Before returning to academia, he worked as a research staff member at the IBM Thomas J. Watson Research Center.\u003C\/p\u003E\u003Cp\u003EOffered online via Zoom. \u003Ca href=\u0022https:\/\/gatech.zoom.us\/webinar\/register\/WN_hIUmG_xERjC-vCS9nMikYA#\/registration\u0022\u003EPlease register to attend\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis talk will present preliminary results on the modeling and prediction of wildfire smoke using a combination of remote-sensing and computer simulation data. We will also explore future research opportunities in this rapidly evolving field of environmental health and data science.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"How modern AI and remote-sensing data can be used to track and predict toxic wildfire smoke to protect vulnerable populations and improve long-term public health planning."}],"uid":"27233","created_gmt":"2026-02-16 17:58:13","changed_gmt":"2026-02-16 18:26:58","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-27T10:00:00-05:00","event_time_end":"2026-02-27T11:00:00-05:00","event_time_end_last":"2026-02-27T11:00:00-05:00","gmt_time_start":"2026-02-27 15:00:00","gmt_time_end":"2026-02-27 16:00:00","gmt_time_end_last":"2026-02-27 16:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"679296":{"id":"679296","type":"image","title":"CHHS Webinar Series: \u0022Wildfire Smoke and Health Impacts \u2014 Preliminary Results and Research Opportunities\u0022","body":null,"created":"1771264597","gmt_created":"2026-02-16 17:56:37","changed":"1771264657","gmt_changed":"2026-02-16 17:57:37","alt":"CHHS Webinar Series: \u0022Wildfire Smoke and Health Impacts \u2014 Preliminary Results and Research Opportunities\u0022","file":{"fid":"263438","name":"CHHS-webinar_20260227.jpg","image_path":"\/sites\/default\/files\/2026\/02\/16\/CHHS-webinar_20260227.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/16\/CHHS-webinar_20260227.jpg","mime":"image\/jpeg","size":153233,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/16\/CHHS-webinar_20260227.jpg?itok=L5dXMhjC"}}},"media_ids":["679296"],"related_links":[{"url":"https:\/\/gatech.zoom.us\/webinar\/register\/WN_hIUmG_xERjC-vCS9nMikYA#\/registration","title":"To attend, please register online via Zoom"}],"groups":[{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194684","name":"Free"},{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"687997":{"#nid":"687997","#data":{"type":"event","title":"ISyE Seminar - Sheng Liu","body":[{"value":"\u003Ch3\u003ETitle:\u0026nbsp;\u003C\/h3\u003E\u003Cdiv\u003EZoning in Emerging Logistics Systems: New Theory and Practice\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Ch3\u003EAbstract:\u003C\/h3\u003E\u003Cdiv\u003EZoning shapes how complicated logistics and societal systems work in practice. In particular, the growth of e-commerce and on-demand delivery services poses new challenges for operationalizing zoning to achieve efficiency goals. In this talk, I will discuss new zoning methods and their applications to manage emerging logistics systems in retail and last-mile delivery. Specifically, I will introduce a provably effective zoning policy for handling time-sensitive delivery requests under uncertainty and describe a field implementation of a flexible zoning policy for a large logistics company. I will also present a new approach to using zoning to manage a dual-delivery system comprising both scheduled and on-demand delivery jobs, shedding light on the value of co-modality for future transportation and logistics systems.\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Ch3\u003EBio:\u003C\/h3\u003E\u003Cdiv\u003ESheng Liu is an Assistant Professor of Operations Management and Statistics at the Rotman School of Management, University of Toronto. He earned a PhD in Operations Research from UC Berkeley in 2019. Sheng\u0027s research focuses on solving operations problems in supply chains, transportation, and logistics systems through optimization and data analytics. His industry experience includes consulting or working for organizations such as JD.com, Sport Chek, Ninja Van, Hungerhub, Amazon, and Lyft. \u0026nbsp;He also strives to improve decision outcomes for vulnerable populations, motivated by collaboration with nonprofit organizations. His work has been recognized with several awards and paper competitions, including the INFORMS Public Sector Operations Research Best Paper Award, the INFORMS TSL Outstanding Paper Award (Freight Transportation and Logistics), and the M\u0026amp;SOM Data-Driven Research Competition. He currently serves as an associate editor of Transportation Science, a senior editor of Production and Operations Management, and an editorial review board member of Service Science.\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Ch3\u003EAbstract:\u003C\/h3\u003E\u003Cdiv\u003EZoning shapes how complicated logistics and societal systems work in practice. In particular, the growth of e-commerce and on-demand delivery services poses new challenges for operationalizing zoning to achieve efficiency goals. In this talk, I will discuss new zoning methods and their applications to manage emerging logistics systems in retail and last-mile delivery. Specifically, I will introduce a provably effective zoning policy for handling time-sensitive delivery requests under uncertainty and describe a field implementation of a flexible zoning policy for a large logistics company. I will also present a new approach to using zoning to manage a dual-delivery system comprising both scheduled and on-demand delivery jobs, shedding light on the value of co-modality for future transportation and logistics systems.\u0026nbsp;\u003C\/div\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Zoning in Emerging Logistics Systems: New Theory and Practice"}],"uid":"34977","created_gmt":"2026-02-03 17:59:06","changed_gmt":"2026-02-11 10:37:12","author":"Julie Smith","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-19T11:00:00-05:00","event_time_end":"2026-02-19T12:00:00-05:00","event_time_end_last":"2026-02-19T12:00:00-05:00","gmt_time_start":"2026-02-19 16:00:00","gmt_time_end":"2026-02-19 17:00:00","gmt_time_end_last":"2026-02-19 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"ISyE Main 228","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"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":""}},"687468":{"#nid":"687468","#data":{"type":"event","title":"ISyE Seminar - Alexandria Schmid","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003C\/h3\u003E\u003Cdiv dir=\u0022ltr\u0022\u003EA double decomposition algorithm for network planning and operations in deviated fixed-route microtransit\u003C\/div\u003E\u003Cdiv dir=\u0022ltr\u0022\u003E\u0026nbsp;\u003C\/div\u003E\u003Ch3\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E:\u0026nbsp;\u003C\/h3\u003E\u003Cdiv\u003EMicrotransit offers opportunities to enhance urban mobility by combining the reliability of public transit and the flexibility of ride-sharing. This paper optimizes the design and operations of a deviated fixed-route microtransit system that relies on reference lines but can deviate on demand in response to passenger requests. We formulate a Microtransit Network Design (MiND) model via two-stage stochastic integer optimization, with a first-stage network design and service scheduling structure and a second-stage vehicle routing structure.\u0026nbsp;We derive a tight second-stage relaxation using a subpath-based representation of microtransit operations in a load-expanded network. We develop a double-decomposition algorithm combining Benders decomposition and subpath-based column generation. We prove that the algorithm maintains a valid optimality gap and converges to an optimal solution in a finite number of iterations. Results obtained with real-world data from Manhattan show that the methodology scales to large and otherwise-intractable instances, with up to 10-100 candidate lines and hundreds of stops. Comparisons with transit and ride-sharing suggest that microtransit can provide win-win outcomes toward efficient mobility (high demand coverage, low costs, high level of service), equitable mobility (broad geographic reach) and sustainable mobility (limited environmental footprint).\u0026nbsp;\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Ch3\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E:\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003EMicrotransit offers opportunities to enhance urban mobility by combining the reliability of public transit and the flexibility of ride-sharing. This paper optimizes the design and operations of a deviated fixed-route microtransit system that relies on reference lines but can deviate on demand in response to passenger requests. We formulate a Microtransit Network Design (MiND) model via two-stage stochastic integer optimization, with a first-stage network design and service scheduling structure and a second-stage vehicle routing structure.\u0026nbsp;We derive a tight second-stage relaxation using a subpath-based representation of microtransit operations in a load-expanded network. We develop a double-decomposition algorithm combining Benders decomposition and subpath-based column generation. We prove that the algorithm maintains a valid optimality gap and converges to an optimal solution in a finite number of iterations. Results obtained with real-world data from Manhattan show that the methodology scales to large and otherwise-intractable instances, with up to 10-100 candidate lines and hundreds of stops. Comparisons with transit and ride-sharing suggest that microtransit can provide win-win outcomes toward efficient mobility (high demand coverage, low costs, high level of service), equitable mobility (broad geographic reach) and sustainable mobility (limited environmental footprint).\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"A double decomposition algorithm for network planning and operations in deviated fixed-route microtransit"}],"uid":"34977","created_gmt":"2026-01-20 18:01:39","changed_gmt":"2026-02-03 14:07:46","author":"Julie Smith","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-03T11:00:00-05:00","event_time_end":"2026-02-03T12:00:00-05:00","event_time_end_last":"2026-02-03T12:00:00-05:00","gmt_time_start":"2026-02-03 16:00:00","gmt_time_end":"2026-02-03 17:00:00","gmt_time_end_last":"2026-02-03 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"ISyE Main 228","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"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":""}},"687811":{"#nid":"687811","#data":{"type":"event","title":"ISyE Seminar - Brian Liu","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EFrontiers and Applications at the Interface of Discrete Optimization and Interpretable Machine Learning\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EModern machine learning models achieve remarkable predictive accuracy and can capture complex interactions, but they are often difficult to interpret and may fail to reveal useful relationships in the data. This lack of interpretability also limits their use in high-stakes applications such as healthcare, where predictions must be auditable for trust and safety. Using tree ensembles (e.g., gradient boosting or random forests) as a motivating example, we propose a novel optimization-based framework for extracting interpretable rule-based models at the post-training stage. We formulate rule extraction as a large-scale discrete optimization problem that balances predictive accuracy with considerations such as model compactness, stability, and transparency. To address these problems, we develop specialized algorithms that scale beyond the capabilities of off-the-shelf optimization software. Using mental telehealth treatment data from our industry collaborators at SilverCloud Health, we demonstrate how these methods enable practitioners to extract meaningful insights from complex datasets and predictive models.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EBrian Liu is a fifth-year Ph.D. candidate in Operations Research at MIT, advised by Professor Rahul Mazumder. His research lies at the intersection of discrete optimization, statistics, and computer science, with a focus on developing efficient and interpretable machine learning algorithms. His work is motivated by real-world applications in domains such as healthcare and medicine and has received multiple Best Student Paper Awards from INFORMS (Data Mining; Quality, Statistics, and Reliability) and the American Statistical Association (Statistical Computing; Nonparametric Statistics).\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Ch3\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003EModern machine learning models achieve remarkable predictive accuracy and can capture complex interactions, but they are often difficult to interpret and may fail to reveal useful relationships in the data. This lack of interpretability also limits their use in high-stakes applications such as healthcare, where predictions must be auditable for trust and safety. Using tree ensembles (e.g., gradient boosting or random forests) as a motivating example, we propose a novel optimization-based framework for extracting interpretable rule-based models at the post-training stage. We formulate rule extraction as a large-scale discrete optimization problem that balances predictive accuracy with considerations such as model compactness, stability, and transparency. To address these problems, we develop specialized algorithms that scale beyond the capabilities of off-the-shelf optimization software. Using mental telehealth treatment data from our industry collaborators at SilverCloud Health, we demonstrate how these methods enable practitioners to extract meaningful insights from complex datasets and predictive models.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Frontiers and Applications at the Interface of Discrete Optimization and Interpretable Machine Learning"}],"uid":"34977","created_gmt":"2026-01-29 13:21:35","changed_gmt":"2026-02-03 14:06:53","author":"Julie Smith","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-12T11:00:00-05:00","event_time_end":"2026-02-12T12:00:00-05:00","event_time_end_last":"2026-02-12T12:00:00-05:00","gmt_time_start":"2026-02-12 16:00:00","gmt_time_end":"2026-02-12 17:00:00","gmt_time_end_last":"2026-02-12 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"ISyE Main 228","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"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":""}},"687100":{"#nid":"687100","#data":{"type":"event","title":"BERD Forum - Artificial Intelligence in Medical and Healthcare Systems","body":[{"value":"\u003Cp\u003EJoin us for Artificial Intelligence in Medical and Health Care Systems on Friday, January 30, 2026, from 8:00 AM to 4:00 PM EST at the ISyE Main Building Atrium, Georgia Tech. This full-day event will feature two keynote speakers, seven technical presentations, and poster sessions, including a voluntary Best Student Poster Competition. Registration for the conference and poster session will open at the beginning of January, with a fee of $30 per person. The registration will cover breakfast, coffee during the breaks, lunch, and parking validation (please indicate the need for parking validation when registering).\u003C\/p\u003E\u003Cp\u003EDon\u2019t miss this opportunity to explore cutting-edge AI applications in Medical and Health Care Systems.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/sites.gatech.edu\/ai-mhcs\/\u0022\u003Ehttps:\/\/sites.gatech.edu\/ai-mhcs\/\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJoin us for Artificial Intelligence in Medical and Health Care Systems on Friday, January 30, 2026, from 8:00 AM to 4:00 PM EST at the ISyE Main Building Atrium, Georgia Tech. This full-day event will feature two keynote speakers, seven technical presentations, and poster sessions, including a voluntary Best Student Poster Competition. 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The registration will cover breakfast, coffee during the breaks, lunch, and parking validation (please indicate the need for parking validation when registering).\u003C\/p\u003E\u003Cp\u003EDon\u2019t miss this opportunity to explore cutting-edge AI applications in Medical and Health Care Systems.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"A biostatistics, epidemiology, and research design forum exploring the role of AI in medical and healthcare systems."}],"uid":"36374","created_gmt":"2026-01-07 14:08:19","changed_gmt":"2026-01-26 20:46:18","author":"mwelch39","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-01-30T08:00:00-05:00","event_time_end":"2026-01-30T16:00:00-05:00","event_time_end_last":"2026-01-30T16:00:00-05:00","gmt_time_start":"2026-01-30 13:00:00","gmt_time_end":"2026-01-30 21:00:00","gmt_time_end_last":"2026-01-30 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":" ISYE Main Atrium","extras":[],"hg_media":{"678910":{"id":"678910","type":"image","title":"Biostatistics--epidemiology----Research-Design--5-.png","body":null,"created":"1767623902","gmt_created":"2026-01-05 14:38:22","changed":"1767623902","gmt_changed":"2026-01-05 14:38:22","alt":"BERD Forum Flyer ","file":{"fid":"263006","name":"Biostatistics--epidemiology----Research-Design--5-.png","image_path":"\/sites\/default\/files\/2026\/01\/05\/Biostatistics--epidemiology----Research-Design--5-.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/01\/05\/Biostatistics--epidemiology----Research-Design--5-.png","mime":"image\/png","size":638993,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/01\/05\/Biostatistics--epidemiology----Research-Design--5-.png?itok=dMeXeyxq"}}},"media_ids":["678910"],"related_links":[{"url":"https:\/\/sites.gatech.edu\/ai-mhcs\/","title":"Please register here"}],"groups":[{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[{"id":"187423","name":"go-bio"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194683","name":"Talk"},{"id":"194682","name":"Workshop"},{"id":"10377","name":"Career\/Professional development"},{"id":"194613","name":"Industry"},{"id":"26411","name":"Training\/Workshop"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"687651":{"#nid":"687651","#data":{"type":"event","title":"CHHS Webinar Series: \u0022Reimagining Maternal Healthcare Delivery in the U.S.\u0022","body":[{"value":"\u003Cp\u003EMaternal mortality and morbidity in the United States remain among the highest of all high-income countries, revealing deep structural gaps in how maternal care is organized and delivered. Addressing these challenges requires systems-level improvements, as issues such as limited geographic access, safety concerns in low-volume hospitals, facility closures, and mismatches between patient risk and facility capability all interact to shape maternal outcomes. This talk highlights how mathematical modeling can help us understand these complex, interrelated system-level issues and support evidence-based strategies to strengthen maternal healthcare delivery.\u003C\/p\u003E\u003Cp\u003EFeaturing \u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/users\/lauren-steimle\u0022\u003ELauren N. Steimle, PhD\u003C\/a\u003E, Assistant Professor, \u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/\u0022\u003EH. Milton Stewart School of Industrial and Systems Engineering\u003C\/a\u003E, Georgia Tech \u003Ca href=\u0022https:\/\/chhs.gatech.edu\/\u0022\u003ECenter for Health and Humanitarian Systems\u003C\/a\u003E. Dr. Steimle\u0027s research involves the creation of industrial engineering and operations research (IE\/OR) methodologies to answer decision-making problems arising in public health and medicine. Her areas of research include medical decision-making, regionalized systems of healthcare delivery, and infectious disease prevention and control. 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healthcare"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194684","name":"Free"},{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"685058":{"#nid":"685058","#data":{"type":"event","title":"Phase II Registration Ends: Spring 2026","body":[{"value":"\u003Cp\u003EPhase II Registration Ends: Spring 2026\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EPhase II Registration Ends: Spring 2026\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Phase II Registration Ends: Spring 2026"}],"uid":"27469","created_gmt":"2025-09-18 13:46:45","changed_gmt":"2026-01-15 17:56:37","author":"Kristen Bailey","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-01-16T23:59:00-05:00","event_time_end":"2026-01-16T23:59:00-05:00","event_time_end_last":"2026-01-16T23:59:00-05:00","gmt_time_start":"2026-01-17 04:59:00","gmt_time_end":"2026-01-17 04:59:00","gmt_time_end_last":"2026-01-17 04:59:00","rrule":null,"timezone":"America\/New_York"},"location":"Georgia Tech Campus","extras":[],"related_links":[{"url":"https:\/\/registrar.gatech.edu\/current-academic-calendar","title":"Academic Calendar"}],"groups":[{"id":"253201","name":"Academic Calendar"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate 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these tools and to interpret and trust their results. This talk will explore how the synthesis of machine learning and optimization can lower these barriers to advance human-centered artificial intelligence (AI). The first part of the talk will demonstrate how generative AI can broaden access to optimization tools through an interactive decision-support framework, developed in collaboration with Microsoft Outlook, that leverages large language models to translate natural-language user requests into underlying constraint programming models. The second part of the talk will focus on trust, showing how optimization can identify regions where machine learning models make fixed predictions that preclude individuals from changing their outcomes, such as a loan applicant who can never be approved regardless of their actions. We will conclude by outlining broader opportunities for integrating AI and optimization, moving toward a future in which advanced analytics tools are as accessible and trustworthy for managers at a local food bank as they are for applied scientists at Amazon.\u003C\/p\u003E\u003Ch3\u003EBio:\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003EConnor Lawless is a Postdoctoral Fellow at the Stanford Institute for Human-Centered Artificial Intelligence advised by Ellen Vitercik and Madeleine Udell. His research blends tools from optimization, machine learning, and human-computer interaction to make advanced analytics tools more accessible and trustworthy. He received his PhD in Operations Research from Cornell University where he was advised by Oktay Gunluk, and previously spent time at Microsoft Research, IBM Research, and the Royal Bank of Canada.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Ch3\u003EAbstract:\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003EFrom healthcare delivery to resilient power grid management, predictive and prescriptive analytics tools have the potential to improve decision-making for some of today\u2019s most pressing problems, yet their impact is often limited by the technical barriers required to access these tools and to interpret and trust their results. This talk will explore how the synthesis of machine learning and optimization can lower these barriers to advance human-centered artificial intelligence (AI). The first part of the talk will demonstrate how generative AI can broaden access to optimization tools through an interactive decision-support framework, developed in collaboration with Microsoft Outlook, that leverages large language models to translate natural-language user requests into underlying constraint programming models. The second part of the talk will focus on trust, showing how optimization can identify regions where machine learning models make fixed predictions that preclude individuals from changing their outcomes, such as a loan applicant who can never be approved regardless of their actions. We will conclude by outlining broader opportunities for integrating AI and optimization, moving toward a future in which advanced analytics tools are as accessible and trustworthy for managers at a local food bank as they are for applied scientists at Amazon.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Bridging Machine Learning and Optimization for Human-Centered AI"}],"uid":"34977","created_gmt":"2026-01-13 14:06:30","changed_gmt":"2026-01-13 14:08:19","author":"Julie Smith","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-01-29T11:00:00-05:00","event_time_end":"2026-01-29T12:00:00-05:00","event_time_end_last":"2026-01-29T12:00:00-05:00","gmt_time_start":"2026-01-29 16:00:00","gmt_time_end":"2026-01-29 17:00:00","gmt_time_end_last":"2026-01-29 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"ISyE Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"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":""}},"687109":{"#nid":"687109","#data":{"type":"event","title":"SCL Lunch and Learn: \u0022Ahead of the Curve: Emergency Logistics\u0022","body":[{"value":"\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EJoin SCL affiliated faculty member Mathieu Dahan as he shares insights from his research on how service systems and workforce models perform under stress, and how flexible capacity and smarter allocation policies can improve response outcomes.\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EThursday, February 5, 2026 | 12-1pm ET\u003C\/strong\u003E\u003C\/p\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003EEmergencies push supply chains into conditions they were never designed for. Demand surges, resources become scarce, and leaders must make fast decisions with limited information. Dr. Mathieu Dahan will share insights from his research on how service systems and workforce models perform under stress, and how flexible capacity and smarter allocation policies can improve response outcomes. The session is designed for leaders responsible for continuity planning, public-private coordination, and operational risk, offering a clear view of what more resilient response systems can look like.\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/gatech.zoom.us\/webinar\/register\/4617678864963\/WN_2zyxTb6aQT2tzqZJtgFkQg\u0022\u003E\u003Cstrong\u003ERegister Online to Attend\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EEmergencies push supply chains into conditions they were never designed for. 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Our students are recruited for a variety of roles and perform well past expectations in all positions. We hope that you will join us this semester and meet some of the country\u2019s brightest students. This event is open to all majors, and recruiting for roles in Data Analytics, Supply Chain, Consulting, Operations, Finance, Business, Tech \u0026amp; more.\u003C\/p\u003E\u003Ch3 dir=\u0022ltr\u0022\u003E\u003Cstrong\u003EEmployers\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp dir=\u0022ltr\u0022\u003ERecruit from the\u0026nbsp;\u003Cstrong\u003E#1-Ranked Industrial Engineering Program\u0026nbsp;\u003C\/strong\u003Ein the nation at the IISE Career Fair.\u0026nbsp;\u003C\/p\u003E\u003Cul\u003E\u003Cli dir=\u0022ltr\u0022\u003E\u003Cstrong\u003ERegistration Deadline:\u003C\/strong\u003E\u0026nbsp; January 29, 2026\u003C\/li\u003E\u003Cli dir=\u0022ltr\u0022\u003E\u003Cstrong\u003EEmployer Registration Fee\u003C\/strong\u003E: $1000.00.\u003C\/li\u003E\u003Cli dir=\u0022ltr\u0022\u003E\u003Ca href=\u0022https:\/\/www.gtiise.org\/career-fair\u0022\u003E[Click Here to Register Today]\u003C\/a\u003E\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3 dir=\u0022ltr\u0022\u003E\u003Cstrong\u003EStudents\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp dir=\u0022ltr\u0022\u003EExplore\u0026nbsp;\u003Cstrong\u003Einternships\u003C\/strong\u003E and\u0026nbsp;\u003Cstrong\u003Efull-time opportunities\u003C\/strong\u003E with companies recruiting across Industrial \u0026amp; Systems Engineering and related fields. For more info \u0026amp; resume submission, visit \u003Ca href=\u0022https:\/\/www.gtiise.org\/career-fair-info\u0022\u003Ehttps:\/\/www.gtiise.org\/career-fair-info\u003C\/a\u003E\u003C\/p\u003E\u003Cp dir=\u0022ltr\u0022\u003ESecure Your Spot Early for the Spring 2026 Career Fair! For questions, email\u0026nbsp;\u003Ca href=\u0022mailto:iise@gatech.edu\u0022\u003Eiise@gatech.edu\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJoin us at one of the largest Industrial \u0026amp; Systems Engineering career fairs in the nation. Registration closes\u0026nbsp;Thursday, January 29, so secure your table today!\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Spring 2026 IISE Career Fair will take place Wednesday, February 4, at GT Exhibition Hall (9am - 2pm)."}],"uid":"36736","created_gmt":"2026-01-06 19:03:13","changed_gmt":"2026-01-06 19:16:05","author":"ebrown386","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-04T09:00:00-05:00","event_time_end":"2026-02-04T14:00:00-05:00","event_time_end_last":"2026-02-04T14:00:00-05:00","gmt_time_start":"2026-02-04 14:00:00","gmt_time_end":"2026-02-04 19:00:00","gmt_time_end_last":"2026-02-04 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Georgia Tech Exhibition Hall (On-Campus)","extras":[],"hg_media":{"678931":{"id":"678931","type":"image","title":"IISE Spring 2026 Career Fair","body":null,"created":"1767726664","gmt_created":"2026-01-06 19:11:04","changed":"1767726664","gmt_changed":"2026-01-06 19:11:04","alt":"IISE Spring 2026 Career Fair","file":{"fid":"263028","name":"IISE-Career-Fair-SP26.jpg","image_path":"\/sites\/default\/files\/2026\/01\/06\/IISE-Career-Fair-SP26.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/01\/06\/IISE-Career-Fair-SP26.jpg","mime":"image\/jpeg","size":64056,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/01\/06\/IISE-Career-Fair-SP26.jpg?itok=TrR6rFno"}}},"media_ids":["678931"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"},{"id":"1791","name":"Student sponsored"}],"invited_audience":[{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EFor questions, email\u0026nbsp;\u003Ca href=\u0022mailto:iise@gatech.edu\u0022\u003Eiise@gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"687085":{"#nid":"687085","#data":{"type":"event","title":"ISyE Seminar - Isaac Gibbs","body":[{"value":"\u003Ch3\u003ETitle:\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003EUncertainty quantification for black-box models with conditional guarantees\u003C\/p\u003E\u003Ch3\u003EAbstract:\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003EA central problem in uncertainty quantification is designing methods that are both distribution-free and individualized to the test sample at hand. Prior work has shown that it is impossible to achieve finite-sample conditional validity without modelling assumptions. Thus, canonical methods in the conformal inference literature typically only issue marginal guarantees over a random draw of the test covariates. In this talk, I will outline a framework that bridges this gap by recasting the conditional objective as a set of robustness criteria under covariate shifts. By modifying the target class of covariate shifts, I will define a spectrum of problems that range between marginal and exact instance-wise validity and give methods that provide precise guarantees in between these extremes. This framework has broad applications and I will show how it can be used to construct prediction sets around the outputs of black-box regression models and filter out false information from the responses of large language models. This talk is based on joint work with John Cherian and Emmanuel Cand\u00e8s.\u003C\/p\u003E\u003Ch3\u003EBio:\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003EIsaac Gibbs is a postdoctoral researcher at the University of California, Berkeley, where he is advised by Ryan Tibshirani. He received his Ph.D. in Statistics from Stanford University, advised by Emmanuel Cand\u00e8s, and his B.Sc. in Math and Computer Science from McGill University. His research focuses on topics related to predictive inference, distribution-free uncertainty quantification, online learning, and high-dimensional statistics.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Ch3\u003EAbstract:\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003EA central problem in uncertainty quantification is designing methods that are both distribution-free and individualized to the test sample at hand. Prior work has shown that it is impossible to achieve finite-sample conditional validity without modelling assumptions. Thus, canonical methods in the conformal inference literature typically only issue marginal guarantees over a random draw of the test covariates. In this talk, I will outline a framework that bridges this gap by recasting the conditional objective as a set of robustness criteria under covariate shifts. By modifying the target class of covariate shifts, I will define a spectrum of problems that range between marginal and exact instance-wise validity and give methods that provide precise guarantees in between these extremes. This framework has broad applications and I will show how it can be used to construct prediction sets around the outputs of black-box regression models and filter out false information from the responses of large language models. This talk is based on joint work with John Cherian and Emmanuel Cand\u00e8s.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Uncertainty quantification for black-box models with conditional guarantees"}],"uid":"34977","created_gmt":"2026-01-06 14:21:35","changed_gmt":"2026-01-06 14:23:23","author":"Julie Smith","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-01-15T11:00:00-05:00","event_time_end":"2026-01-15T12:00:00-05:00","event_time_end_last":"2026-01-15T12:00:00-05:00","gmt_time_start":"2026-01-15 16:00:00","gmt_time_end":"2026-01-15 17:00:00","gmt_time_end_last":"2026-01-15 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"ISyE Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"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":""}},"687084":{"#nid":"687084","#data":{"type":"event","title":"ISyE Seminar - Jinwen Yang","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003C\/h3\u003E\u003Cp dir=\u0022ltr\u0022\u003EGPU-Accelerated Linear Programming and Beyond\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;\u003C\/h3\u003E\u003Cp dir=\u0022ltr\u0022\u003EThe rapid progress in GPU computing has revolutionized many fields, yet its potential in mathematical programming, such as linear programming (LP), has only recently begun to be realized. This talk aims to provide an overview of recent advancements in GPU-based first-order methods for LP, with a particular focus on the design and development of cuPDLPx. The extensions to GPU-based optimization beyond LP, including convex quadratic programming and semidefinite programming, will also be discussed.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp dir=\u0022ltr\u0022\u003E\u0026nbsp;Jinwen Yang is a final-year Ph.D. student at the University of Chicago, advised by Professor Haihao Lu. His research interests are in optimization, with a particular focus on optimization algorithms tailored to modern hardware (like GPUs) and intended for practical applications. He obtained B.S. in Mathematics and Applied Mathematics from Fudan University.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Ch3\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;\u003C\/h3\u003E\u003Cp dir=\u0022ltr\u0022\u003EThe rapid progress in GPU computing has revolutionized many fields, yet its potential in mathematical programming, such as linear programming (LP), has only recently begun to be realized. This talk aims to provide an overview of recent advancements in GPU-based first-order methods for LP, with a particular focus on the design and development of cuPDLPx. The extensions to GPU-based optimization beyond LP, including convex quadratic programming and semidefinite programming, will also be discussed.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"GPU-Accelerated Linear Programming and Beyond"}],"uid":"34977","created_gmt":"2026-01-06 14:16:18","changed_gmt":"2026-01-06 14:19:00","author":"Julie Smith","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-01-27T11:00:00-05:00","event_time_end":"2026-01-27T12:00:00-05:00","event_time_end_last":"2026-01-27T12:00:00-05:00","gmt_time_start":"2026-01-27 16:00:00","gmt_time_end":"2026-01-27 17:00:00","gmt_time_end_last":"2026-01-27 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"ISyE Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"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":""}},"687083":{"#nid":"687083","#data":{"type":"event","title":"ISyE Seminar - Anthony Cheng","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003C\/h3\u003E\u003Cdiv\u003ESystemic Consequences of Technology Choice in Clean Energy Supply Chains:\u0026nbsp;Vulnerability and Competitiveness in Battery Critical Minerals\u003Cbr\u003E\u0026nbsp;\u003C\/div\u003E\u003Ch3\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003C\/h3\u003E\u003Cdiv\u003EAchieving large-scale energy transitions requires rapid deployment of clean energy technologies, which in turn depend on interconnected manufacturing and supply chain processes. While prior work has examined resource extraction and downstream product manufacturing in detail, less attention has been paid to the intermediate stages of materials refining and component manufacturing,\u0026nbsp;where technology choices propagate across the supply chain and shape the range of possible system trajectories.\u0026nbsp;\u003Cbr\u003EIn this talk, I present an integrated modeling framework that\u0026nbsp;explores these intermediate supply chains in the context of electric vehicle batteries and their associated critical minerals, linking technology-level decisions to system-level outcomes, such as supply chain vulnerability, economic competitiveness, and emissions. More broadly, this work provides a pathway for incorporating technology and materials details into systems-level energy and climate analyses, supporting more robust decision-making in energy transitions.\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Ch3\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/h3\u003E\u003Cdiv\u003EAnthony Cheng is a PhD Candidate (ABD) in the Department of Engineering and Public Policy at Carnegie Mellon University. His work examines how technology, supply chain, and policy choices shape the competitiveness and resilience of clean energy and critical mineral\u0026nbsp;systems, with\u0026nbsp;a current focus on electric vehicle batteries. Methodologically, his research develops and applies integrated technoeconomic, environmental, and supply chain modeling frameworks to connect process-level technology characteristics to macro-energy systems and policy decision-making.\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003EHe is a National Science Foundation Graduate Research Fellow and holds an S.B. in Materials Science and Engineering from MIT, with additional training in computer science, energy systems, and entrepreneurship. Prior to his doctoral work, he engaged in both research and industry work spanning industrial decarbonization, data science, and clean technology commercialization.\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Ch3\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003C\/h3\u003E\u003Cdiv\u003EAchieving large-scale energy transitions requires rapid deployment of clean energy technologies, which in turn depend on interconnected manufacturing and supply chain processes. While prior work has examined resource extraction and downstream product manufacturing in detail, less attention has been paid to the intermediate stages of materials refining and component manufacturing,\u0026nbsp;where technology choices propagate across the supply chain and shape the range of possible system trajectories.\u0026nbsp;\u003Cbr\u003EIn this talk, I present an integrated modeling framework that\u0026nbsp;explores these intermediate supply chains in the context of electric vehicle batteries and their associated critical minerals, linking technology-level decisions to system-level outcomes, such as supply chain vulnerability, economic competitiveness, and emissions. More broadly, this work provides a pathway for incorporating technology and materials details into systems-level energy and climate analyses, supporting more robust decision-making in energy transitions.\u003C\/div\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Systemic Consequences of Technology Choice in Clean Energy Supply Chains:\u00a0Vulnerability and Competitiveness in Battery Critical Minerals"}],"uid":"34977","created_gmt":"2026-01-06 14:05:54","changed_gmt":"2026-01-06 14:09:09","author":"Julie Smith","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-01-22T11:00:00-05:00","event_time_end":"2026-01-22T12:00:00-05:00","event_time_end_last":"2026-01-22T12:00:00-05:00","gmt_time_start":"2026-01-22 16:00:00","gmt_time_end":"2026-01-22 17:00:00","gmt_time_end_last":"2026-01-22 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"ISyE Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"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":""}},"687052":{"#nid":"687052","#data":{"type":"event","title":"BERD Forum - Artificial Intelligence in Medical and Healthcare Systems","body":[{"value":"\u003Cp\u003EJoin us for Artificial Intelligence in Medical and Health Care Systems on Friday, January 30, 2026, from 8:00 AM to 4:00 PM EST at the ISyE Main Building Atrium, Georgia Tech. This full-day event will feature two keynote speakers, seven technical presentations, and poster sessions, including a voluntary Best Student Poster Competition. Registration for the conference and poster session will open at the beginning of January, with a fee of $30 per person. The registration will cover breakfast, coffee during the breaks, lunch, and parking validation (please indicate the need for parking validation when registering).\u003C\/p\u003E\u003Cp\u003EDon\u2019t miss this opportunity to explore cutting-edge AI applications in Medical and Health Care Systems.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJoin us for Artificial Intelligence in Medical and Health Care Systems on Friday, January 30, 2026, from 8:00 AM to 4:00 PM EST at the ISyE Main Building Atrium, Georgia Tech. This full-day event will feature two keynote speakers, seven technical presentations, and poster sessions, including a voluntary Best Student Poster Competition. Registration for the conference and poster session will open at the beginning of January, with a fee of $30 per person. The registration will cover breakfast, coffee during the breaks, lunch, and parking validation (please indicate the need for parking validation when registering).\u003C\/p\u003E\u003Cp\u003EDon\u2019t miss this opportunity to explore cutting-edge AI applications in Medical and Health Care Systems.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"A biostatistics, epidemiology, and research design forum exploring the role of AI in medical and healthcare systems."}],"uid":"36374","created_gmt":"2026-01-05 14:35:46","changed_gmt":"2026-01-05 14:41:44","author":"mwelch39","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-01-30T08:00:00-05:00","event_time_end":"2026-01-30T16:00:00-05:00","event_time_end_last":"2026-01-30T16:00:00-05:00","gmt_time_start":"2026-01-30 13:00:00","gmt_time_end":"2026-01-30 21:00:00","gmt_time_end_last":"2026-01-30 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":" ISYE Main Atrium","extras":[],"hg_media":{"678910":{"id":"678910","type":"image","title":"Biostatistics--epidemiology----Research-Design--5-.png","body":null,"created":"1767623902","gmt_created":"2026-01-05 14:38:22","changed":"1767623902","gmt_changed":"2026-01-05 14:38:22","alt":"BERD Forum Flyer ","file":{"fid":"263006","name":"Biostatistics--epidemiology----Research-Design--5-.png","image_path":"\/sites\/default\/files\/2026\/01\/05\/Biostatistics--epidemiology----Research-Design--5-.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/01\/05\/Biostatistics--epidemiology----Research-Design--5-.png","mime":"image\/png","size":638993,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/01\/05\/Biostatistics--epidemiology----Research-Design--5-.png?itok=dMeXeyxq"}}},"media_ids":["678910"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194683","name":"Talk"},{"id":"194682","name":"Workshop"},{"id":"10377","name":"Career\/Professional development"},{"id":"194613","name":"Industry"},{"id":"26411","name":"Training\/Workshop"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"686981":{"#nid":"686981","#data":{"type":"event","title":"Health Systems Day","body":[{"value":"\u003Cp\u003ERegister at: \u003Ca href=\u0022https:\/\/forms.office.com\/r\/EL5qxHYmMQ\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/forms.office.com\/r\/EL5qxHYmMQ\u0022\u003EEvent Interest Form\u003C\/a\u003E\u0026nbsp;to receive more event details\u003C\/p\u003E\u003Cp\u003ESubscribe to our newsletter: \u003Ca href=\u0022https:\/\/app.e2ma.net\/app2\/audience\/signup\/2019066\/1986058.558972426\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/app.e2ma.net\/app2\/audience\/signup\/2019066\/1986058.558972426\/\u0022\u003ECHHS Newsletter\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003ELearn more about CHHS: \u003Ca href=\u0022https:\/\/chhs.gatech.edu\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/chhs.gatech.edu\/\u0022\u003ECenter for Health and Humanitarian Systems\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe Georgia Tech Center for Health and Humanitarian Systems (CHHS), an Interdisciplinary Research Center (IRC), is dedicated to transforming health and humanitarian systems on a global scale through education, outreach efforts, and the development of innovative solutions.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Health Systems: The Next Generation"}],"uid":"34977","created_gmt":"2025-12-18 12:46:12","changed_gmt":"2025-12-23 15:15:02","author":"Julie Smith","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-18T10:00:00-05:00","event_time_end":"2026-02-18T16:15:00-05:00","event_time_end_last":"2026-02-18T16:15:00-05:00","gmt_time_start":"2026-02-18 15:00:00","gmt_time_end":"2026-02-18 21:15:00","gmt_time_end_last":"2026-02-18 21:15:00","rrule":null,"timezone":"America\/New_York"},"location":"ISyE Main Atrium","extras":[],"groups":[{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194682","name":"Workshop"}],"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"686875":{"#nid":"686875","#data":{"type":"event","title":"Winter Break: Campus Closed","body":[{"value":"\u003Cp\u003EThe Georgia Tech campus is closed for winter break.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe Georgia Tech campus is closed for winter break.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Campus Closed"}],"uid":"34932","created_gmt":"2025-12-11 17:40:31","changed_gmt":"2025-12-11 17:40:31","author":"Courtney Hill","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-12-22T00:00:00-05:00","event_time_end":"2025-12-26T23:59:59-05:00","event_time_end_last":"2025-12-26T23:59:59-05:00","gmt_time_start":"2025-12-22 05:00:00","gmt_time_end":"2025-12-27 04:59:59","gmt_time_end_last":"2025-12-27 04:59:59","rrule":"FREQ=DAILY","timezone":"America\/New_York"},"location":"Georgia Tech Campus","extras":[],"related_links":[{"url":"https:\/\/registrar.gatech.edu\/calendar","title":"Academic Calendar - Office of the Registrar"}],"groups":[{"id":"253201","name":"Academic Calendar"},{"id":"253221","name":"Institute Holidays"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"683182":{"#nid":"683182","#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":"2025-07-18 18:41:48","changed_gmt":"2025-12-10 23:29:14","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-23T20:00:00-04:00","event_time_end":"2026-03-25T16:00:00-04:00","event_time_end_last":"2026-03-25T16:00:00-04:00","gmt_time_start":"2026-03-24 00:00:00","gmt_time_end":"2026-03-25 20:00:00","gmt_time_end_last":"2026-03-25 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:info@scl.gatech.edu\u0022\u003Einfo@scl.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"685777":{"#nid":"685777","#data":{"type":"event","title":"Professional Education Course: Inventory Management and Resource Allocation in Supply Chains (Virtual\/Instructor-led)","body":[{"value":"\u003Cp\u003EClasses\u0026nbsp;will be taught by LIVE video instruction similar to the experience you would receive in person with the same interactive components.\u0026nbsp;Each course will run for one week Monday through Thursday from 10am to 1:30pm ET each day with an optional extra day on Friday.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EMany Supply Chain decisions are concerned with the timely and efficient procurement, allocation, and distribution of resources (e.g. funds, supplies, volunteers, money, employees) through a supply chain network. This course will explore methodologies for \u201cmedium term\u201d decision making including procurement and inventory policies, strategies for distribution and allocation of limited resources, and supply chain design.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is designed for representatives from governmental or non-governmental organizations, private corporations, military, and foundations, including but not limited to senior executives overseeing administrative and operational functions of an organization, logistics and supply chain managers, program managers, directors of field operations, directors of emergency\/disaster preparedness and response, and public health professionals.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EProvide immediate impact to your organization through applied and real-world case studies.\u003C\/li\u003E\u003Cli\u003ELearn to bring NGOs, businesses, or government entities together to enhance collaboration, cooperation, and communication.\u003C\/li\u003E\u003Cli\u003EDiscover current trends and procedures to help your organization and team members get and stay ahead of the curve.\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat Is Covered\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EProcurement decisions\u003C\/li\u003E\u003Cli\u003EInventory management techniques for a single event versus ongoing operations under uncertainty\u003C\/li\u003E\u003Cli\u003EStrategies for resource allocation geographically and over time\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EAbout the Course and the\u0026nbsp;HHSCM Course Series\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is the second in a 3-part virtually synchronous professional education program. Register and pay for all three required\u0026nbsp;\u003Ca href=\u0022https:\/\/pe.gatech.edu\/node\/54\u0022\u003EHealth and Humanitarian Supply Chain Management Certificate courses\u003C\/a\u003E\u0026nbsp;and receive a discount of $400 off per course. Enter coupon code\u0026nbsp;\u003Cstrong\u003ESCL-HHS\u003C\/strong\u003E\u0026nbsp;at checkout with the Georgia Tech Professional Education website..\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAdditionally, there are scholarships available for the certificate program. Apply at \u003Ca href=\u0022https:\/\/chhs.gatech.edu\/course-scholarships\u0022\u003Ehttps:\/\/chhs.gatech.edu\/course-scholarships\u003C\/a\u003E by the noted deadline.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EQuestions? Reach out to\u0026nbsp;\u003Ca href=\u0022mailto:chhs@gatech.edu\u0022\u003Echhs@gatech.edu\u003C\/a\u003E!\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis course explores methodologies for tactical decision making including procurement and inventory policies, strategies for distribution and allocation of limited resources, and transportation decisions.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Inventory availability is the most important aspect of customer service, and the cost of inventory is one of the most important entries on a company\u0027s balance sheet."}],"uid":"27233","created_gmt":"2025-10-17 14:51:42","changed_gmt":"2025-12-09 12:13:15","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-23T10:00:00-04:00","event_time_end":"2026-03-27T13:30:00-04:00","event_time_end_last":"2026-03-27T13:30:00-04:00","gmt_time_start":"2026-03-23 14:00:00","gmt_time_end":"2026-03-27 17:30:00","gmt_time_end_last":"2026-03-27 17:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Virtual\/Instructor-led","extras":[],"related_links":[{"url":"https:\/\/pe.gatech.edu\/courses\/inventory-management-and-resource-allocation-supply-chains","title":"Registration link via Georgia Tech Professional Education"},{"url":"https:\/\/chhs.gatech.edu\/education\/professional-education\/course\/invmgmt","title":"Course Details via Center for Health and Humanitarian Systems website"},{"url":"https:\/\/pe.gatech.edu\/certificates\/health-humanitarian-supply-chain-management-certificate","title":"Health \u0026 Humanitarian Supply Chain Management Certificate"},{"url":"https:\/\/chhs.gatech.edu\/course-scholarships","title":"Apply for a Scholarship!"}],"groups":[{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003Echhs@gatech.edu\u0026nbsp;\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":""}},"686764":{"#nid":"686764","#data":{"type":"event","title":"12th International Physical Internet Conference (IPIC 2026)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003EPlease join us for the 12th International Physical Internet Conference taking place June 8-10 in Bordeaux, France at KEDGE Business School. A pre-conference event will be held June 5-6 at IMT Mines Albi.\u003C\/strong\u003E\u003Cbr\u003E\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003EThis landmark edition will begin in Albi, where the pre-conference on June 5\u20136 will bring together PhD students, researchers, and industry professionals for interactive training sessions, including the \u201cMy Thesis in 180 Seconds\u201d challenge, and immersive learning experiences using cutting-edge Virtual Reality games. The event will then move to Bordeaux from June 8\u201310 for the main conference, themed \u201cSupply Chain and Logistics Intelligence in the Era of the Physical Internet: Bridging High-Tech and Low-Tech Solutions.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EParticipants will enjoy a vibrant program featuring scientific and industrial sessions, inspiring keynotes, dynamic roundtables, exhibitions, company visits, and collaborative workshops designed to foster innovation and shape the future of logistics and supply chain networks.\u003C\/p\u003E\u003Cp\u003EAnd, because logistics is global, participants will be from all over the world including researchers, industrial and international institution members, local authorities and standardization committees.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbout the Physical Internet Initiative\u003C\/strong\u003E\u003Cbr\u003EThe \u003Ca href=\u0022https:\/\/www.picenter.gatech.edu\/physical-internet\u0022\u003EPhysical Internet Initiative\u003C\/a\u003E aims at transforming the way physical objects are moved, stored, realized, supplied and used, pursuing global logistics efficiency and sustainability. Originating from Professor \u003Ca href=\u0022https:\/\/www.scl.gatech.edu\/users\/benoit-montreuil\u0022\u003E\u003Cstrong\u003EBenoit Montreuil\u003C\/strong\u003E\u003C\/a\u003E in 2006, this ground breaking vision, revolutionizing current paradigms, has stirred great interest from scientific, industrial as well as governmental communities.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EPlease join us for the 12th International Physical Internet Conference taking place June 8-10 in Bordeaux, France at KEDGE Business School. A pre-conference event will be held June 5-6 at IMT Mines Albi (France).\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Please join us for the 12th International Physical Internet Conference taking place June 8-10 in France."}],"uid":"27233","created_gmt":"2025-12-05 23:19:52","changed_gmt":"2025-12-05 23:30:32","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-06-08T08:00:00-04:00","event_time_end":"2026-06-10T17:00:00-04:00","event_time_end_last":"2026-06-10T17:00:00-04:00","gmt_time_start":"2026-06-08 12:00:00","gmt_time_end":"2026-06-10 21:00:00","gmt_time_end_last":"2026-06-10 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"KEDGE Business School (Bordeaux, France)","extras":[],"hg_media":{"678773":{"id":"678773","type":"image","title":"12th-International-Physical-Internet-Conference.jpg","body":null,"created":"1764976738","gmt_created":"2025-12-05 23:18:58","changed":"1764976783","gmt_changed":"2025-12-05 23:19:43","alt":"12th International Physical Internet Conference","file":{"fid":"262848","name":"12th-International-Physical-Internet-Conference.jpg","image_path":"\/sites\/default\/files\/2025\/12\/05\/12th-International-Physical-Internet-Conference.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/12\/05\/12th-International-Physical-Internet-Conference.jpg","mime":"image\/jpeg","size":375571,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/12\/05\/12th-International-Physical-Internet-Conference.jpg?itok=dw5XcewL"}}},"media_ids":["678773"],"related_links":[{"url":"https:\/\/ipic2026.pi.events\/","title":"Conference 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":"122741","name":"physical internet"},{"id":"143871","name":"Physical Internet Center"},{"id":"194222","name":"Supply chain "},{"id":"233","name":"Logistics"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1789","name":"Conference\/Symposium"},{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"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\u003EPlease direct questions relating to the conference to \u003Ca href=\u0022mailto:ipic2026@kedgebs.com?subject=IPIC%202024%20Conference\u0022\u003Eipic2026.contact@kedgebs.com\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"686763":{"#nid":"686763","#data":{"type":"event","title":"AI for Students Lunch and Learn","body":[{"value":"\u003Ch2 dir=\u0022ltr\u0022\u003EAI for Students Lunch and Learn | Jan 20, 2026 (11-12:15pm)\u003C\/h2\u003E\u003Cdiv\u003E\u003Cp\u003EOpen to Georgia Tech students from all majors \u2014 ISyE, Business, CS, ECE, and beyond \u2014 to encourage broad participation and interdisciplinary exchange.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EThe event is designed to bring together Georgia Tech students who are exploring AI in supply chain, logistics, and related fields\u003C\/strong\u003E. The goal is to share ideas, compare approaches, and build connections across majors and programs.\u003C\/p\u003E\u003Cp\u003EIf you\u2019ve used AI in any way\u2014whether for a class, research, or a side project\u2014we\u2019d love to hear from you. Presentations are brief and informal (3\u20135 minutes), and slides are optional. Your insights can spark great conversations!\u003C\/p\u003E\u003Cp\u003EWe will review registrations to ensure a good balance of presenters and listeners for an interactive session. If you\u2019re presenting, you\u2019ll share a short talk. If you\u2019re attending as a listener, we expect you to actively engage\u2014ask questions, share feedback, and join the discussion during networking. Your input helps make this session valuable for everyone!\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/eforms.scl.gatech.edu\/ai-student-exchange\u0022 rel=\u0022noreferrer noopener\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003EClick here to register Online to Attend\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAn event designed to bring together Georgia Tech students who are exploring AI in supply chain, logistics, and related fields\u003C\/strong\u003E. The goal is to share ideas, compare approaches, and build connections across majors and programs.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"An event to bring together Georgia Tech students who are exploring and using AI in supply chain, logistics, and related fields."}],"uid":"27233","created_gmt":"2025-12-05 21:51:47","changed_gmt":"2025-12-05 21:58:01","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-01-20T11:00:00-05:00","event_time_end":"2026-01-20T12:15:00-05:00","event_time_end_last":"2026-01-20T12:15:00-05:00","gmt_time_start":"2026-01-20 16:00:00","gmt_time_end":"2026-01-20 17:15:00","gmt_time_end_last":"2026-01-20 17:15:00","rrule":null,"timezone":"America\/New_York"},"location":"Georgia Tech Exhibition Hall (Centennial Room - 2nd floor)","extras":["free_food"],"hg_media":{"678772":{"id":"678772","type":"image","title":"AI for Students Lunch and Learn","body":null,"created":"1764965081","gmt_created":"2025-12-05 20:04:41","changed":"1764965112","gmt_changed":"2025-12-05 20:05:12","alt":"AI for Students Lunch and Learn","file":{"fid":"262847","name":"AI-for-Students.jpg","image_path":"\/sites\/default\/files\/2025\/12\/05\/AI-for-Students.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/12\/05\/AI-for-Students.jpg","mime":"image\/jpeg","size":257519,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/12\/05\/AI-for-Students.jpg?itok=JbqPxwxm"}}},"media_ids":["678772"],"related_links":[{"url":"https:\/\/eforms.scl.gatech.edu\/ai-student-exchange","title":"Register Online to Attend"}],"groups":[{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"26411","name":"Training\/Workshop"}],"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":[{"value":"\u003Cp\u003Eevent@scl.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"686701":{"#nid":"686701","#data":{"type":"event","title":"SCL Lunch and Learn: \u201cForecasting 2026: What\u2019s Next for Supply Chain\u0022","body":[{"value":"\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EJoin SCL Managing Director Chris Gaffney for an insightful Lunch and Learn as he unpacks the biggest trends shaping supply chain in 2026.\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EThursday, January 8, 2026 | 12-1pm ET\u003C\/strong\u003E\u003C\/p\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003EFrom disruptive technologies to shifting global dynamics, the supply chain landscape is evolving faster than ever. Whether you\u0027re navigating nearshoring strategies, exploring AI-driven logistics, or simply trying to keep pace with change, this session will help you spot what\u0027s coming and act before the competition does.\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/gatech.zoom.us\/webinar\/register\/7117646884984\/WN_vZsL5sr4SFm6MpjRSLGp3g\u0022\u003E\u003Cstrong\u003ERegister Online to Attend\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EFrom disruptive technologies to shifting global dynamics, the supply chain landscape is evolving faster than ever. Join SCL Managing Director Chris Gaffney for an insightful Lunch and Learn as he unpacks the biggest trends shaping supply chain in 2026.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Join SCL Managing Director Chris Gaffney for an insightful Lunch and Learn as he unpacks the biggest trends shaping supply chain in 2026."}],"uid":"27233","created_gmt":"2025-12-02 16:15:33","changed_gmt":"2025-12-02 16:22:54","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-01-08T12:00:00-05:00","event_time_end":"2026-01-08T13:00:00-05:00","event_time_end_last":"2026-01-08T13:00:00-05:00","gmt_time_start":"2026-01-08 17:00:00","gmt_time_end":"2026-01-08 18:00:00","gmt_time_end_last":"2026-01-08 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Online via Zoom","extras":[],"hg_media":{"678741":{"id":"678741","type":"image","title":"SCL Lunch and Learn: \u201cForecasting 2026: What\u2019s Next for Supply Chain\u0022","body":null,"created":"1764692303","gmt_created":"2025-12-02 16:18:23","changed":"1764692303","gmt_changed":"2025-12-02 16:18:23","alt":"SCL Lunch and Learn: \u201cForecasting 2026: What\u2019s Next for Supply Chain\u0022","file":{"fid":"262813","name":"hg_LNL_2026SC_20260108.png","image_path":"\/sites\/default\/files\/2025\/12\/02\/hg_LNL_2026SC_20260108.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/12\/02\/hg_LNL_2026SC_20260108.png","mime":"image\/png","size":162848,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/12\/02\/hg_LNL_2026SC_20260108.png?itok=Jz1ckD4Y"}}},"media_ids":["678741"],"related_links":[{"url":"https:\/\/gatech.zoom.us\/webinar\/register\/7117646884984\/WN_vZsL5sr4SFm6MpjRSLGp3g","title":"Register Online to Attend the Webinar"},{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education","title":"Professional Education at the Georgia Tech Supply Chain and Logistics Institute"}],"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":"3615","name":"information session"},{"id":"186857","name":"go-gtmi"},{"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\u003Ecourse@scl.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"686646":{"#nid":"686646","#data":{"type":"event","title":"ISyE Seminar - Tudor Manole","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EA Statistical Framework for Benchmarking Quantum Computers\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E:\u0026nbsp;\u003C\/h3\u003E\u003Cdiv\u003EThe last two decades have witnessed quantum computing technologies increasingly move from theoretical proposals to functioning experimental platforms, reaching major milestones such as the demonstration of beyond-classical computational tasks. The central challenge in the sustained development of large-scale quantum computers is the presence of hardware errors, which must be identified and quantified before they can be mitigated. In this talk, I will develop a statistical perspective on this problem of benchmarking quantum devices, using an experimental platform known as random circuit sampling. Data arising from this experiment can be described through a high-dimensional discrete latent variable model parametrized by hardware-level error rates. We develop computationally efficient estimators for these error rates, which incorporate side information about the model via simulations from a reference quantum computer. These estimators achieve the information-theoretic estimation limits for this problem, implying that reliable estimation is possible even for large-scale quantum devices that evade classical computational abilities.\u0026nbsp;We apply our methods to benchmark a recent state-of-the-art quantum processor, obtaining a detailed report with hundreds of error rates which were largely unavailable from past studies. I will conclude by placing these results in the broader context of my interdisciplinary work in the physical sciences, and by discussing some of my other research interests in nonparametric statistics and statistical optimal transport.\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Ch3\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E:\u0026nbsp;\u003C\/h3\u003E\u003Cdiv\u003ETudor Manole is a Norbert Wiener postdoctoral associate in the Statistics and Data Science Center at the Massachusetts Institute of Technology (MIT). He received his PhD in Statistics at Carnegie Mellon University, where he was advised by Larry Wasserman and Sivaraman Balakrishnan. He is a\u0026nbsp;recipient of the Umesh K. Gavaskar Memorial PhD Thesis Award, and the Lawrence D. Brown Ph.D. Student Award. His recent research interests include statistical optimal transport, latent variable models, nonparametric hypothesis testing, and their applications to the physical sciences, particularly in the areas of quantum computing and high energy physics.\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003E\u003Cbr\u003E\u0026nbsp;\u003C\/div\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Ch3\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E:\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003EThe last two decades have witnessed quantum computing technologies increasingly move from theoretical proposals to functioning experimental platforms, reaching major milestones such as the demonstration of beyond-classical computational tasks. The central challenge in the sustained development of large-scale quantum computers is the presence of hardware errors, which must be identified and quantified before they can be mitigated. In this talk, I will develop a statistical perspective on this problem of benchmarking quantum devices, using an experimental platform known as random circuit sampling. Data arising from this experiment can be described through a high-dimensional discrete latent variable model parametrized by hardware-level error rates. We develop computationally efficient estimators for these error rates, which incorporate side information about the model via simulations from a reference quantum computer. These estimators achieve the information-theoretic estimation limits for this problem, implying that reliable estimation is possible even for large-scale quantum devices that evade classical computational abilities.\u0026nbsp;We apply our methods to benchmark a recent state-of-the-art quantum processor, obtaining a detailed report with hundreds of error rates which were largely unavailable from past studies. I will conclude by placing these results in the broader context of my interdisciplinary work in the physical sciences, and by discussing some of my other research interests in nonparametric statistics and statistical optimal transport.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"A Statistical Framework for Benchmarking Quantum Computers"}],"uid":"34977","created_gmt":"2025-12-01 13:08:52","changed_gmt":"2025-12-01 13:08:52","author":"Julie Smith","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-12-08T11:00:00-05:00","event_time_end":"2025-12-08T12:00:00-05:00","event_time_end_last":"2025-12-08T12:00:00-05:00","gmt_time_start":"2025-12-08 16:00:00","gmt_time_end":"2025-12-08 17:00:00","gmt_time_end_last":"2025-12-08 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"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":""}},"686620":{"#nid":"686620","#data":{"type":"event","title":"ISyE Seminar - Emily Zhang","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003EHeterogeneous Treatment Effects in Panel Data: Applications to the Healthy Incentives Program\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EIn this talk, we will discuss work motivated by studying the Healthy Incentives Program (HIP), a food-subsidy program. Our goal is to quantify how adding new vendors affects program utilization using observational panel data. In particular, the effects may be heterogeneous, and the timing of the interventions may be highly irregular. This is an instance of a core problem in causal inference: estimating heterogeneous treatment effects using panel data with general treatment patterns.\u003C\/p\u003E\u003Cp\u003ETo address this problem, we introduce the Panel Clustering Estimator (PaCE). PaCE partitions observations into clusters with similar treatment effects using a regression tree and leverages the low-rank structure of the panel data to estimate the average treatment effect within each cluster. Our theoretical results identify conditions on the treatment patterns under which the treatment effects are recoverable, and we establish convergence guarantees under those conditions. Computational experiments show that PaCE achieves higher accuracy than existing approaches while remaining interpretable. Applying PaCE to HIP data, we identify the heterogeneous impacts of vendor additions on HIP utilization across Massachusetts ZIP codes and uncover key demographic and contextual factors driving these differences. Our findings provide valuable insights for future budget planning and for identifying which ZIP codes to target with vendor additions.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EEmily Zhang is a fifth-year PhD candidate at the MIT Operations Research Center, advised by Professors Retsef Levi and Georgia Perakis. Her research addresses critical challenges in food systems, focusing on reducing food waste and improving equitable access to healthy food. Her work spans modeling, optimization, causal inference, inventory management, and data-driven operations, and has been conducted in collaboration with the Massachusetts Department of Transitional Assistance and nonprofit organizations such as Met Council. Prior to her PhD, she earned dual B.S. degrees in Computer Science and Mathematics from MIT.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Ch3\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EIn this talk, we will discuss work motivated by studying the Healthy Incentives Program (HIP), a food-subsidy program. Our goal is to quantify how adding new vendors affects program utilization using observational panel data. In particular, the effects may be heterogeneous, and the timing of the interventions may be highly irregular. This is an instance of a core problem in causal inference: estimating heterogeneous treatment effects using panel data with general treatment patterns.\u003C\/p\u003E\u003Cp\u003ETo address this problem, we introduce the Panel Clustering Estimator (PaCE). PaCE partitions observations into clusters with similar treatment effects using a regression tree and leverages the low-rank structure of the panel data to estimate the average treatment effect within each cluster. Our theoretical results identify conditions on the treatment patterns under which the treatment effects are recoverable, and we establish convergence guarantees under those conditions. Computational experiments show that PaCE achieves higher accuracy than existing approaches while remaining interpretable. Applying PaCE to HIP data, we identify the heterogeneous impacts of vendor additions on HIP utilization across Massachusetts ZIP codes and uncover key demographic and contextual factors driving these differences. Our findings provide valuable insights for future budget planning and for identifying which ZIP codes to target with vendor additions.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Heterogeneous Treatment Effects in Panel Data: Applications to the Healthy Incentives Program"}],"uid":"34977","created_gmt":"2025-11-25 15:19:15","changed_gmt":"2025-11-25 15:21:57","author":"Julie Smith","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-12-11T11:00:00-05:00","event_time_end":"2025-12-11T12:00:00-05:00","event_time_end_last":"2025-12-11T12:00:00-05:00","gmt_time_start":"2025-12-11 16:00:00","gmt_time_end":"2025-12-11 17:00:00","gmt_time_end_last":"2025-12-11 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"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":""}},"686569":{"#nid":"686569","#data":{"type":"event","title":"ISyE Seminar - Anna Gilbert ","body":[{"value":"\u003Cp\u003ETitle:\u003C\/p\u003E\u003Cp\u003ESeeing the Forest for the Trees\u003C\/p\u003E\u003Cp\u003EAbstract:\u003C\/p\u003E\u003Cp\u003ERecent papers in the graph machine learning literature have introduced a number of approaches for hyperbolic representation learning. The asserted benefits are improved performance on a variety of graph tasks, node classification and link prediction included. Claims have also been made about the geometric suitability of particular hierarchical graph datasets to representation in hyperbolic space. Despite these claims, our work makes a surprising discovery: when simple Euclidean models with comparable numbers of parameters are properly trained in the same environment, in most cases, they perform as well, if not better, than all introduced hyperbolic graph representation learning models, even on graph datasets previously claimed to be the most hyperbolic as measured by Gromov delta-hyperbolicity (i.e., perfect trees).\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThis observation gives rise to a simple question: how can this be? We answer this question by taking a careful look at the field of hyperbolic graph representation learning as it stands today, and find that a number of results do not diligently present baselines, make faulty modelling assumptions when constructing algorithms, and use misleading metrics to quantify geometry of graph datasets. We take a closer look at each of these three problems, elucidate the issues, perform an analysis of methods, and introduce a parametric family of benchmark datasets to ascertain the applicability of (hyperbolic) graph neural networks.\u003C\/p\u003E\u003Cp\u003EUnfortunately, these problems are not specific to hyperbolic graph neural nets but are indicative of more fundamental problems in graph machine learning more generally. We show, surprisingly, that node features are oftentimes more-than-sufficient for many common graph benchmarks, breaking this critical assumption. When comparing against a well-tuned feature-only MLP baseline on seven of the most commonly used graph learning datasets, one gains little benefit from using graph structure on five datasets. We posit that these datasets do not benefit considerably from graph learning because the features themselves already contain enough graph information to obviate or substantially reduce the need for the graph.\u003C\/p\u003E\u003Cp\u003EBio:\u003C\/p\u003E\u003Cp\u003EAnna Gilbert received her S.B. degree from the University of Chicago and a Ph.D. from Princeton University, both in Mathematics. In 1997, she was a postdoctoral fellow at Yale University and AT\u0026amp;T Labs-Research. From 1998 to 2004, she was a member of technical staff at AT\u0026amp;T Labs-Research in Florham Park, NJ. From 2004 to 2020, she was with the Department of Mathematics (with a secondary appointment in Electrical and Computer Engineering) at the University of Michigan, where she eventually became the Herman H. Goldstine Collegiate Professor. In 2020, she moved to Yale University as the John C. Malone Professor of Mathematics and Professor of Statistics \u0026amp; Data Science. In 2023, she left the Mathematics Department and is now in Statistics \u0026amp; Data Science. Dr. Gilbert has received several awards, including a Sloan Research Fellowship (2006), an NSF CAREER award (2006), the National Academy of Sciences Award for Initiatives in Research (2008), the Association of Computing Machinery (ACM) Douglas Engelbart Best Paper award (2008), the EURASIP Signal Processing Best Paper award (2010), and the SIAM Ralph E. Kleinman Prize (2013).\u003C\/p\u003E\u003Cp\u003EDr. Gilbert\u0027s research interests include analysis, probability, discrete mathematics, and algorithms. She is especially interested in randomized algorithms with applications to harmonic analysis, signal and image processing, and massive datasets.\u003C\/p\u003E\u003Cp\u003EWebsite: https:\/\/annacgilbert.github.io\/cv\/\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ERecent papers in the graph machine learning literature have introduced a number of approaches for hyperbolic representation learning. The asserted benefits are improved performance on a variety of graph tasks, node classification and link prediction included. Claims have also been made about the geometric suitability of particular hierarchical graph datasets to representation in hyperbolic space. Despite these claims, our work makes a surprising discovery: when simple Euclidean models with comparable numbers of parameters are properly trained in the same environment, in most cases, they perform as well, if not better, than all introduced hyperbolic graph representation learning models, even on graph datasets previously claimed to be the most hyperbolic as measured by Gromov delta-hyperbolicity (i.e., perfect trees).\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThis observation gives rise to a simple question: how can this be? We answer this question by taking a careful look at the field of hyperbolic graph representation learning as it stands today, and find that a number of results do not diligently present baselines, make faulty modelling assumptions when constructing algorithms, and use misleading metrics to quantify geometry of graph datasets. We take a closer look at each of these three problems, elucidate the issues, perform an analysis of methods, and introduce a parametric family of benchmark datasets to ascertain the applicability of (hyperbolic) graph neural networks.\u003C\/p\u003E\u003Cp\u003EUnfortunately, these problems are not specific to hyperbolic graph neural nets but are indicative of more fundamental problems in graph machine learning more generally. We show, surprisingly, that node features are oftentimes more-than-sufficient for many common graph benchmarks, breaking this critical assumption. When comparing against a well-tuned feature-only MLP baseline on seven of the most commonly used graph learning datasets, one gains little benefit from using graph structure on five datasets. We posit that these datasets do not benefit considerably from graph learning because the features themselves already contain enough graph information to obviate or substantially reduce the need for the graph.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":" Seeing the Forest for the Trees"}],"uid":"36527","created_gmt":"2025-11-21 16:46:46","changed_gmt":"2025-11-21 16:53:56","author":"hulrich6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-12-05T11:00:00-05:00","event_time_end":"2025-12-05T12:00:00-05:00","event_time_end_last":"2025-12-05T12:00:00-05:00","gmt_time_start":"2025-12-05 16:00:00","gmt_time_end":"2025-12-05 17:00:00","gmt_time_end_last":"2025-12-05 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"686302":{"#nid":"686302","#data":{"type":"event","title":"ISyE Seminar - David Simchi-Levi","body":[{"value":"\u003Cp\u003ETitle:\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EFrom Democratizing Optimization with LLM to Improving LLM Performance with OR Techniques\u003C\/p\u003E\u003Cp\u003EAbstract:\u003C\/p\u003E\u003Cp\u003ERecent breakthroughs in Large Language Models (LLM) have captured public imagination and interest, while mathematical optimization remains largely underappreciated outside expert circles. In this talk, we show that LLM can finally bridge the persistent gap between optimization\u2019s potent capabilities and its limited real-world uptake. We present the 4I framework\u2014Insight, Interpretability, Interactivity, Improvisation\u2014as a set of design principles for combining LLM with mathematical optimization. Insight establishes a trusted, up-to-date view of the state; Interpretability explains model logic and trade-offs; Interactivity enables conversational what-if analysis; and Improvisation supports event-driven re-optimization.\u003C\/p\u003E\u003Cp\u003EWe also demonstrate how OR techniques can optimize LLM inference under memory constraints. We formulate LLM inference as a multi-stage online scheduling problem with stochastic arrivals and dynamic resource consumption. We develop a fluid dynamics approximation that provides a tractable performance benchmark and guides algorithm design. Building on this foundation, we introduce two algorithms. The Waiting for Accumulated Inference Threshold (WAIT) algorithm optimizes scheduling when output lengths are known using dynamically maintained thresholds. For the realistic scenario where output lengths are unknown at arrival, the Nested WAIT algorithm adaptively learns prompt characteristics through a hierarchical multi-segment framework. We establish theoretical near optimality guarantees under heavy traffic conditions, balancing throughput, latency, and Time to First Token (TTFT). Experiments using Llama-7B on A100 GPUs demonstrate 15-30% throughput improvements and reduced latency versus industry baselines (vLLM and Sarathi).\u003C\/p\u003E\u003Cp\u003EBio:\u003C\/p\u003E\u003Cp\u003EDavid Simchi-Levi holds the MIT William Barton Rogers Professorship (named after the founder \u0026amp; first president of MIT), is a Professor of Engineering Systems at MIT and serves as the head of the MIT Data Science Lab. He is considered one of the premier thought leaders in supply chain management and business analytics. His Ph.D. students have accepted faculty positions in leading academic institutes including U. of California Berkeley, Carnegie Mellon U., Columbia U., Cornell U., Duke U., Georgia Tech, Harvard U., U. of Illinois Urbana-Champaign, U. of Michigan, Purdue U. and Virginia Tech.\u003C\/p\u003E\u003Cp\u003EProfessor Simchi-Levi is the former Editor-in-Chief of Management Science (2018-2023), one of the two flagship journals of INFORMS. He served as the Editor-in-Chief for Operations Research (2006-2012), the other flagship journal of INFORMS and for Naval Research Logistics (2003-2005). In 2023, he was elected a member of the National Academy of Engineering. In 2020, he was awarded the prestigious INFORMS Impact Prize for playing a leading role in developing and disseminating a new highly impactful paradigm for the identification and mitigation of risks in global supply chains. He is an INFORMS Fellow and MSOM Distinguished Fellow and the recipient of the 2020 INFORMS Koopman Award given to an outstanding publication in military operations research; Ford Motor Company 2015 Engineering Excellence Award; 2014 INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice; 2014 INFORMS Revenue Management and Pricing Section Practice Award; and 2009 INFORMS Revenue Management and Pricing Section Prize.\u003C\/p\u003E\u003Cp\u003EHe was the founder of LogicTools which provided software solutions and professional services for supply chain optimization. LogicTools became part of IBM in 2009. In 2012 he co-founded OPS Rules, an operations analytics consulting company. The company became part of Accenture in 2016. In 2014, he co-founded Opalytics, a cloud analytics platform company focusing on operations and supply chain decisions. The company became part of the Accenture Applied Intelligence in 2018.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ERecent breakthroughs in Large Language Models (LLM) have captured public imagination and interest, while mathematical optimization remains largely underappreciated outside expert circles. In this talk, we show that LLM can finally bridge the persistent gap between optimization\u2019s potent capabilities and its limited real-world uptake. We present the 4I framework\u2014Insight, Interpretability, Interactivity, Improvisation\u2014as a set of design principles for combining LLM with mathematical optimization. Insight establishes a trusted, up-to-date view of the state; Interpretability explains model logic and trade-offs; Interactivity enables conversational what-if analysis; and Improvisation supports event-driven re-optimization.\u003C\/p\u003E\u003Cp\u003EWe also demonstrate how OR techniques can optimize LLM inference under memory constraints. We formulate LLM inference as a multi-stage online scheduling problem with stochastic arrivals and dynamic resource consumption. We develop a fluid dynamics approximation that provides a tractable performance benchmark and guides algorithm design. Building on this foundation, we introduce two algorithms. The Waiting for Accumulated Inference Threshold (WAIT) algorithm optimizes scheduling when output lengths are known using dynamically maintained thresholds. For the realistic scenario where output lengths are unknown at arrival, the Nested WAIT algorithm adaptively learns prompt characteristics through a hierarchical multi-segment framework. We establish theoretical near optimality guarantees under heavy traffic conditions, balancing throughput, latency, and Time to First Token (TTFT). Experiments using Llama-7B on A100 GPUs demonstrate 15-30% throughput improvements and reduced latency versus industry baselines (vLLM and Sarathi).\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"From Democratizing Optimization with LLM to Improving LLM Performance with OR Techniques"}],"uid":"36527","created_gmt":"2025-11-07 19:26:16","changed_gmt":"2025-11-18 20:08:00","author":"hulrich6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-11-21T11:00:00-05:00","event_time_end":"2025-11-21T12:00:00-05:00","event_time_end_last":"2025-11-21T12:00:00-05:00","gmt_time_start":"2025-11-21 16:00:00","gmt_time_end":"2025-11-21 17:00:00","gmt_time_end_last":"2025-11-21 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"686503":{"#nid":"686503","#data":{"type":"event","title":"Hybrid Intelligence: Building the Bridge Between Optimization and Quantum Computing","body":[{"value":"\u003Cp\u003EQuantum computing promises to transform how we solve optimization problems\u2014but currently available Noisy Intermediate Scale Quantum (NISQ era) devices alone cannot get us there. A promising path forward lies in hybrid approaches that combine the strengths of classical algorithms with the emerging capabilities of quantum hardware, opening the door to scalable and high-performance solutions. In this talk, I will present recent advances in quantum optimization that bring this vision to life. I will discuss how warm-starting the Quantum Approximate Optimization Algorithm (QAOA) with classical relaxations can dramatically improve performance, how hybrid pipelines leverage combinatorial structure to achieve stronger approximations and noise resilience, and how benchmark families\u2014such as strongly regular graphs and low-degree graphs\u2014help us probe the boundary of quantum advantage. These results connect classical approximation algorithms, convex optimization, and quantum circuit design. Looking ahead, I will outline a research vision for hybrid intelligence, where classical and quantum algorithms operate in synergy rather than competition\u2014rethinking optimization for the next era of computing.\u003Cbr\u003E\u003Cbr\u003ESwati Gupta is an Associate Professor and the Class of 1947 Career Development Professor at the MIT Sloan School of Management in the Operations Research and Statistics Group. Prior to this, she held a Fouts Family Early Career Professorship as an Assistant Professor at the Stewart School of Industrial \u0026amp; Systems Engineering at Georgia Tech from 2018-2023, where she served as the lead of Ethical AI in the NSF AI Institute on Advances in Optimization from 2021-2023. She received a Ph.D. in Operations Research from MIT in 2017, following a joint Masters and B.Tech in Computer Science from IIT Delhi. Her research bridges optimization, machine learning, and algorithmic fairness, to design algorithms that are both theoretically rigorous and socially impactful, with applications in healthcare, hiring, energy, quantum computing, and beyond. Her work has been recognized by the 2023 NSF CAREER Award, INFORMS Doing Good with OR 2022 (finalist), the JP Morgan Early Career Faculty Recognition in 2021, the NSF CISE Research Initiation Initiative Award in 2019, INFORMS Computing Society 2016 (special recognition), and the INFORMS Service Science Section 2016 (finalist).\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis talk explores recent advances in hybrid quantum\u2013classical optimization, showing how classical warm-starts, structured pipelines, and benchmark problems can significantly boost QAOA performance and guide the path toward practical quantum advantage.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"A look at recent advances in hybrid quantum\u2013classical optimization, showing how combining classical methods with emerging quantum hardware can improve performance and move us closer to practical quantum advantage."}],"uid":"36458","created_gmt":"2025-11-18 12:33:43","changed_gmt":"2025-11-18 12:52:53","author":"mellis74","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-11-18T15:30:00-05:00","event_time_end":"2025-11-18T16:30:00-05:00","event_time_end_last":"2025-11-18T16:30:00-05:00","gmt_time_start":"2025-11-18 20:30:00","gmt_time_end":"2025-11-18 21:30:00","gmt_time_end_last":"2025-11-18 21:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose Executive Boardroom GC402","extras":[],"hg_media":{"678653":{"id":"678653","type":"image","title":"Swati Gupta","body":null,"created":"1763470253","gmt_created":"2025-11-18 12:50:53","changed":"1763470253","gmt_changed":"2025-11-18 12:50:53","alt":"Swati Gupta","file":{"fid":"262712","name":"Swati-Gupta.jpg","image_path":"\/sites\/default\/files\/2025\/11\/18\/Swati-Gupta_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/11\/18\/Swati-Gupta_0.jpg","mime":"image\/jpeg","size":77868,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/11\/18\/Swati-Gupta_0.jpg?itok=AHBk083P"}}},"media_ids":["678653"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"686199":{"#nid":"686199","#data":{"type":"event","title":"SCL Spring 2026 Supply Chain Day Career Fair","body":[{"value":"\u003Cp\u003EEmployers and Georgia Tech students \u2013 please join us for our spring Supply Chain Day!\u0026nbsp;\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EEvent Details\u003C\/strong\u003E\u003C\/h3\u003E\u003Ch4\u003EOn Campus\/In-Person (Georgia Tech Exhibition Hall)\u003C\/h4\u003E\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EWednesday, January 14, 2026 | 10am-2pm ET\u0026nbsp;\u003C\/strong\u003E\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003EStudents\u003C\/h3\u003E\u003Cp\u003E\u003Cstrong\u003EWe strongly encourage you to attend to seek full-time employment\u003C\/strong\u003E, \u003Cstrong\u003Einternships, and projects\u003C\/strong\u003E (rather than waiting until the end of the semester).\u003C\/p\u003E\u003Ch3\u003EOrganizations\u003C\/h3\u003E\u003Cp\u003EIf you are interested in hosting a table for our upcoming session, please let us know after reviewing the below information within our website. Early registration closes December 1st!\u003C\/p\u003E\u003Ch4\u003EMORE INFORMATION AND EVENT REGISTRATION\u003C\/h4\u003E\u003Cp\u003EVisit\u0026nbsp;\u003Ca href=\u0022https:\/\/www.scl.gatech.edu\/outreach\/supplychainday\u0022\u003E\u003Cstrong\u003Ehttps:\/\/www.scl.gatech.edu\/outreach\/supplychainday\u003C\/strong\u003E\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech Supply Chain\u0026nbsp;students and employers, please join us for our fall Supply Chain Day! We will be hosting an on campus session\u0026nbsp;Wednesday, January 14, 2026 from 10am-2pm ET at the Georgia Tech Exhibition Hall.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Supply chain and logistics career fair where industry supply chain representatives meet Georgia Tech students."}],"uid":"27233","created_gmt":"2025-11-05 14:41:52","changed_gmt":"2025-11-05 15:02:55","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-01-14T10:00:00-05:00","event_time_end":"2026-01-14T14:00:00-05:00","event_time_end_last":"2026-01-14T14:00:00-05:00","gmt_time_start":"2026-01-14 15:00:00","gmt_time_end":"2026-01-14 19:00:00","gmt_time_end_last":"2026-01-14 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Georgia Tech Exhibition Hall","extras":[],"hg_media":{"678547":{"id":"678547","type":"image","title":"Jan 14, 2026 Supply Chain and Logistics Career Fair","body":null,"created":"1762354713","gmt_created":"2025-11-05 14:58:33","changed":"1762354713","gmt_changed":"2025-11-05 14:58:33","alt":"Jan 14, 2026 Supply Chain and Logistics Career Fair","file":{"fid":"262599","name":"HgSCDaySymplicityBanner_20260114.png","image_path":"\/sites\/default\/files\/2025\/11\/05\/HgSCDaySymplicityBanner_20260114.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/11\/05\/HgSCDaySymplicityBanner_20260114.png","mime":"image\/png","size":704380,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/11\/05\/HgSCDaySymplicityBanner_20260114.png?itok=3Y7qUJ_T"}}},"media_ids":["678547"],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/outreach\/supplychainday","title":"Register online to attend (for Georgia Tech students)"},{"url":"https:\/\/www.scl.gatech.edu","title":"Supply Chain and Logistics Institute website"}],"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":"780","name":"employment"},{"id":"9845","name":"GTSCL"},{"id":"233","name":"Logistics"},{"id":"167074","name":"Supply Chain"},{"id":"1996","name":"Recruiting"},{"id":"5172","name":"career day"},{"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":"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":[{"value":"\u003Cp\u003Eevent@scl.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"686066":{"#nid":"686066","#data":{"type":"event","title":"ISyE Seminar - Tirthankar Dasgupta","body":[{"value":"\u003Cdiv\u003ETitle:\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003EReconnecting Sampling, Design, and Causality: A Modern Perspective on Classical Foundations\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003EAbstract:\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003EThis talk explores the deep connections between two foundational pillars of twentieth-century statistics\u2014survey sampling and experimental design. Though these connections became somewhat esoteric in the late twentieth century, they have experienced a revival through the framework of finite-population causal inference. Central to this connection is the concept of potential outcomes (or counterfactuals), first introduced by Neyman in 1923 and later expanded and formalized by Rubin in the 1970s. Through illustrative examples, we will show how the classical results developed in the early twentieth century can be reinterpreted and extended to address contemporary challenges, particularly as randomized experiments gain renewed prominence across the social, behavioral, and biomedical sciences.\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003EBio:\u003C\/div\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ETirthankar Dasgupta is a Professor and Co-Director of Graduate Studies in the Department of Statistics, Rutgers University. \u0026nbsp;His research interests include experimental design, causal inference, statistical modeling of physical and engineering systems and quality engineering. He obtained his Ph.D. in industrial engineering with specialization in engineering statistics from Georgia Institute of Technology in 2007 under the supervision of \u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/users\/jeff-wu\u0022 rel=\u0022noreferrer noopener\u0022 target=\u0022_blank\u0022\u003EProf C. F. Jeff Wu\u003C\/a\u003E and received the Sigma-Xi best doctoral thesis award for his dissertation. He joined Harvard University in 2008 as an Assistant Professor and was promoted to the rank of Associate Professor in 2012. In the same year, he received the David Pickard award from Harvard University for excellence in teaching and mentoring. Prof Dasgupta has served as the research advisor of seven doctoral students till date. Part of his research has been funded by the \u003Ca href=\u0022https:\/\/www.nsf.gov\/div\/index.jsp?div=CMMI\u0022 rel=\u0022noreferrer noopener\u0022 target=\u0022_blank\u0022\u003EDivision of Civil, Mechanical and Manufacturing Innovation (CMMI), Division of Mathematical Sciences (DMS) and Division of the Social and Economic Sciences (SES) of the National Science Foundation.\u0026nbsp;\u003C\/a\u003ECurrently he serves on the Editorial Boards of The Journal of the American Statistical Association and the Journal of the Royal Statistical Society (Series B).\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cbr\u003E\u0026nbsp;\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis talk explores the deep connections between two foundational pillars of twentieth-century statistics\u2014survey sampling and experimental design. Though these connections became somewhat esoteric in the late twentieth century, they have experienced a revival through the framework of finite-population causal inference. Central to this connection is the concept of potential outcomes (or counterfactuals), first introduced by Neyman in 1923 and later expanded and formalized by Rubin in the 1970s. Through illustrative examples, we will show how the classical results developed in the early twentieth century can be reinterpreted and extended to address contemporary challenges, particularly as randomized experiments gain renewed prominence across the social, behavioral, and biomedical sciences.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Reconnecting Sampling, Design, and Causality: A Modern Perspective on Classical Foundations"}],"uid":"36527","created_gmt":"2025-10-29 13:58:46","changed_gmt":"2025-10-29 14:04:48","author":"hulrich6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-11-14T11:00:00-05:00","event_time_end":"2025-11-14T12:00:00-05:00","event_time_end_last":"2025-11-14T12:00:00-05:00","gmt_time_start":"2025-11-14 16:00:00","gmt_time_end":"2025-11-14 17:00:00","gmt_time_end_last":"2025-11-14 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"680228":{"#nid":"680228","#data":{"type":"event","title":"(CANCELED) SCL Course: World Class Sales and Operations Planning (Virtual\/Instructor-led)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course focuses on defining, executing, and improving the sales and operations planning (S\u0026amp;OP) process. Participants will be introduced to the appropriate stakeholders of S\u0026amp;OP, the importance of S\u0026amp;OP to corporate performance, S\u0026amp;OP cadence, and the use of decision support tools to bring S\u0026amp;OP to the next level. Business cases will be used to show concrete examples of companies where S\u0026amp;OP is effectively applied.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is designed for chief operating officers; supply chain, sales, marketing and finance management executives (directors, vice presidents, executive vice presidents); supply chain and logistics managers, consultants, supervisors, planners, and engineers; supply chain education and human resource management personnel, inventory and demand planners, and procurement and sourcing analysts and managers; and manufacturing planners, analysts, and managers.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EUnderstand the need for an S\u0026amp;OP process in a company.\u003C\/li\u003E\u003Cli\u003EApply the principles that are the key to success of an S\u0026amp;OP process.\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat You Will Learn\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003ES\u0026amp;OP process and technology\u003C\/li\u003E\u003Cli\u003ES\u0026amp;OP implementation planning and execution\u003C\/li\u003E\u003Cli\u003ES\u0026amp;OP stakeholder and communications planning\u003C\/li\u003E\u003Cli\u003ES\u0026amp;OP business case and best practices\u003C\/li\u003E\u003Cli\u003ES\u0026amp;OP process management\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EParticipants will be introduced to the appropriate stakeholders of S\u0026amp;OP, the importance of S\u0026amp;OP to corporate performance, S\u0026amp;OP cadence, and the use of decision support tools to bring S\u0026amp;OP to the next level. Business cases will be used to show concrete examples of companies where S\u0026amp;OP is effectively applied.\u003C\/p\u003E\u003Ch3\u003E\u0026nbsp;\u003C\/h3\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Learn to define, execute, and improve the sales and operations planning (S\u0026OP) process, including stakeholder management, cadence, and decision support tools, through real-world case studies."}],"uid":"36698","created_gmt":"2025-02-05 19:39:34","changed_gmt":"2025-10-27 11:45:06","author":"dramirez65","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-11-03T08:00:00-05:00","event_time_end":"2025-11-05T12:00:00-05:00","event_time_end_last":"2025-11-05T12:00:00-05:00","gmt_time_start":"2025-11-03 13:00:00","gmt_time_end":"2025-11-05 17:00:00","gmt_time_end_last":"2025-11-05 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Virtual\/Instructor-led","extras":[],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education\/course\/wcsop","title":"Course webpage within the SCL website"}],"groups":[{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"170001","name":"Supply Chain Engineering"},{"id":"194222","name":"Supply chain "},{"id":"194307","name":"Operations Planning"},{"id":"169561","name":"Sales"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003Einfo@scl.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"685892":{"#nid":"685892","#data":{"type":"event","title":"Ad Hoc ISyE Seminar - Zhenyu Hu","body":[{"value":"\u003Cp\u003ETitle:\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EGacha: A Simple Mechanism to Screen a Budget-Constrained Buyer\u003C\/p\u003E\u003Cp\u003EAbstract:\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EA lottery mechanism that allows repeated purchases until the buyer wins a designated item is widely used for both digital goods in Gacha games (e.g., \u0026nbsp;\u003Cem\u003EGenshin Impact\u003C\/em\u003E) and physical goods such as collectible toys (e.g., Labubu). We study this mechanism---referred to as a Gacha mechanism---in what is arguably the simplest possible setting: a seller offering one single item to a budget-constrained buyer. While the optimal mechanism in this setting typically involves designing a large (potentially \u003Cem\u003Einfinite\u003C\/em\u003E) menu of lotteries that can only be purchased once, the Gacha mechanism requires only a selling price and a winning probability, making it far more practical to implement. We show that the Gacha mechanism is particularly effective at screening along the budget dimension. While the posted price mechanism can perform arbitrarily poorly compared to the optimal mechanism when the buyer\u2019s valuation is public, the Gacha mechanism achieves at least 63.2% of the optimal revenue. It becomes \u003Cem\u003Easymptotically optimal\u003C\/em\u003E as the valuation grows large. Moreover, when the seller has almost no information about the buyer\u2019s budget distribution, 63.2% is also the max-min revenue ratio guarantee, which can be achieved by a Gacha mechanism with vanishing winning probability. We also show that the Gacha mechanism is less effective at screening along the valuation dimension. When the valuation is private and the budget is public, the optimal Gacha mechanism reduces to a posted-price mechanism that achieves at least 50% of the optimal revenue. When both valuation and budget are private and independent, and the valuation follows a monotone hazard rate distribution, the Gacha mechanism guarantees at least 23% of the optimal revenue. Finally, we explore two extensions of the Gacha mechanism---one that includes the option of direct purchase, and another that incorporates a pity system.\u003C\/p\u003E\u003Cp\u003EBio:\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EZhenyu Hu is a Dean\u2019s Chair Associate Professor at the Department of Analytics \u0026amp; Operations at the National University of Singapore. He obtained his PhD in industrial engineering from the University of Illinois at Urbana-Champaign and a bachelor in mathematics from Sun Yat-sen University. His research focuses on dynamic pricing and revenue management, supply chain management, and mechanism and information design. He currently serves as an associate editor for M\u0026amp;SOM.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EA lottery mechanism that allows repeated purchases until the buyer wins a designated item is widely used for both digital goods in Gacha games (e.g., \u0026nbsp;\u003Cem\u003EGenshin Impact\u003C\/em\u003E) and physical goods such as collectible toys (e.g., Labubu). We study this mechanism---referred to as a Gacha mechanism---in what is arguably the simplest possible setting: a seller offering one single item to a budget-constrained buyer. While the optimal mechanism in this setting typically involves designing a large (potentially \u003Cem\u003Einfinite\u003C\/em\u003E) menu of lotteries that can only be purchased once, the Gacha mechanism requires only a selling price and a winning probability, making it far more practical to implement. We show that the Gacha mechanism is particularly effective at screening along the budget dimension. While the posted price mechanism can perform arbitrarily poorly compared to the optimal mechanism when the buyer\u2019s valuation is public, the Gacha mechanism achieves at least 63.2% of the optimal revenue. It becomes \u003Cem\u003Easymptotically optimal\u003C\/em\u003E as the valuation grows large. Moreover, when the seller has almost no information about the buyer\u2019s budget distribution, 63.2% is also the max-min revenue ratio guarantee, which can be achieved by a Gacha mechanism with vanishing winning probability. We also show that the Gacha mechanism is less effective at screening along the valuation dimension. When the valuation is private and the budget is public, the optimal Gacha mechanism reduces to a posted-price mechanism that achieves at least 50% of the optimal revenue. When both valuation and budget are private and independent, and the valuation follows a monotone hazard rate distribution, the Gacha mechanism guarantees at least 23% of the optimal revenue. Finally, we explore two extensions of the Gacha mechanism---one that includes the option of direct purchase, and another that incorporates a pity system.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Gacha: A Simple Mechanism to Screen a Budget-Constrained Buyer"}],"uid":"36527","created_gmt":"2025-10-21 20:23:46","changed_gmt":"2025-10-21 20:27:55","author":"hulrich6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-10-30T10:00:00-04:00","event_time_end":"2025-10-30T11:00:00-04:00","event_time_end_last":"2025-10-30T11:00:00-04:00","gmt_time_start":"2025-10-30 14:00:00","gmt_time_end":"2025-10-30 15:00:00","gmt_time_end_last":"2025-10-30 15:00:00","rrule":null,"timezone":"America\/New_York"},"location":"ISYE Main 228","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"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":""}},"685866":{"#nid":"685866","#data":{"type":"event","title":"SCL Lunch and Learn: \u201cCan Your Supply Chain Trust AI?\u0022","body":[{"value":"\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EAI is revolutionizing supply chains with speed and intelligence, but its ethical implications in areas like logistics, procurement, and risk management demand deeper scrutiny.\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EThursday, December 4, 2025 | 12-1pm ET\u003C\/strong\u003E\u003C\/p\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003EWe trust AI to make faster, smarter supply chain decisions. But can it be trusted to be ethical? Join Georgia Tech\u0027s Supply Chain and Logistics Institute and Rosemarie Santa Gonzalez to rethink what \u0022ethical AI\u0022 really means in high-stakes environments like logistics, procurement, and risk management. This session will spark new thinking and help you move from AI ambition to AI accountability.\u003C\/p\u003E\u003Cdiv\u003E\u003Ca href=\u0022https:\/\/gatech.zoom.us\/webinar\/register\/5517609939377\/WN_hqRyO-H7Swy7UxWGPquiAQ\u0022\u003E\u003Cstrong\u003ERegister Online to Attend\u003C\/strong\u003E\u003C\/a\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJoin Rosemarie Santa Gonzalez with the Georgia Tech Supply Chain and Logistics Institute as she discusses whether AI can be trusted to act ethically in high-stakes environments like logistics, procurement, and risk management.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"AI is revolutionizing supply chains with speed and intelligence, but its ethical implications in areas like logistics, procurement, and risk management demand deeper scrutiny."}],"uid":"27233","created_gmt":"2025-10-20 20:53:43","changed_gmt":"2025-10-21 12:33:28","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-12-04T12:00:00-05:00","event_time_end":"2025-12-04T13:00:00-05:00","event_time_end_last":"2025-12-04T13:00:00-05:00","gmt_time_start":"2025-12-04 17:00:00","gmt_time_end":"2025-12-04 18:00:00","gmt_time_end_last":"2025-12-04 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Online via Zoom","extras":[],"hg_media":{"678396":{"id":"678396","type":"image","title":"Can Your Supply Chain Trust AI?","body":null,"created":"1760994059","gmt_created":"2025-10-20 21:00:59","changed":"1760994059","gmt_changed":"2025-10-20 21:00:59","alt":"Can Your Supply Chain Trust AI?","file":{"fid":"262416","name":"hg_LNL_EthicalAI_20251204.png","image_path":"\/sites\/default\/files\/2025\/10\/20\/hg_LNL_EthicalAI_20251204.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/10\/20\/hg_LNL_EthicalAI_20251204.png","mime":"image\/png","size":145610,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/10\/20\/hg_LNL_EthicalAI_20251204.png?itok=s5K1lRze"}}},"media_ids":["678396"],"related_links":[{"url":"https:\/\/gatech.zoom.us\/webinar\/register\/5517609939377\/WN_hqRyO-H7Swy7UxWGPquiAQ","title":"Register Online to Attend the Webinar"},{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education\/course\/gaiascp","title":"SCL\u0027s Generative AI Application for Supply Chain Professionals course"}],"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":"3615","name":"information session"},{"id":"186857","name":"go-gtmi"},{"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":"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\u003Ecourse@scl.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"682839":{"#nid":"682839","#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":"2025-06-23 17:39:10","changed_gmt":"2025-10-20 14:52:37","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-09-14T13:00:00-04:00","event_time_end":"2026-09-17T17:00:00-04:00","event_time_end_last":"2026-09-17T17:00:00-04:00","gmt_time_start":"2026-09-14 17:00:00","gmt_time_end":"2026-09-17 21:00:00","gmt_time_end_last":"2026-09-17 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":""}},"685789":{"#nid":"685789","#data":{"type":"event","title":"ISyE Seminar - Luis Nunes Vicente","body":[{"value":"\u003Cp\u003ETitle: Reducing Sample Complexity in Stochastic Derivative-Free Optimization via Tail Bounds and Hypothesis Testing\u003C\/p\u003E\u003Cp\u003EAbstract:\u003C\/p\u003E\u003Cp\u003EWe introduce and analyze new probabilistic strategies for enforcing sufficient decrease conditions in stochastic derivative-free optimization, with the goal of reducing sample complexity and simplifying convergence analysis. First, we develop a new tail bound condition imposed on the estimated reduction in function value, which permits flexible selection of the power used in the sufficient decrease test, q in (1,2]. This approach allows us to reduce the number of samples per iteration from the standard O(delta^{\u22124}) to O(delta^{-2q}), assuming\u0026nbsp;that the noise\u0026nbsp;moment of order q\/(q-1) is bounded. Second, we formulate the sufficient decrease condition as a sequential hypothesis testing problem, in which the algorithm adaptively collects samples until the evidence suffices to accept or reject a candidate step. This test provides statistical guarantees on decision errors and can further reduce the required sample size, particularly in the Gaussian noise setting, where it can approach\u0026nbsp;O(delta^{\u22122-r})\u0026nbsp;when the decrease is of the order of delta^r. We incorporate both techniques into stochastic direct-search and trust-region methods for potentially non-smooth, noisy objective functions, and establish their global convergence rates and properties.\u003C\/p\u003E\u003Cp\u003EBio:\u003C\/p\u003E\u003Cp\u003ELuis Nunes Vicente is the Timothy J. Wilmott \u201980 Endowed Faculty Professor and Chair of Lehigh University\u2019s Department of Industrial and Systems Engineering (ISE). His research interests include Continuous Optimization, Computational Science and Engineering, and Machine Learning and Data Science. He obtained his PhD from Rice University in 1996, under a Fulbright scholarship, receiving from Rice the Ralph Budd Thesis Award. He was one of the three finalists of the 94-96 A. W. Tucker Prize of the Mathematical Optimization Society (MOS). In 2015, he was awarded the Lagrange Prize of SIAM (Society for Industrial and Applied Mathematics) and MOS for the co-authorship of the book \u201cIntroduction to Derivative-Free Optimization, MPS-SIAM Series on Optimization, SIAM, Philadelphia, 2009\u201d. He is a SIAM Fellow (Class of 2024). He was elected chair of the SIAM Activity Group on Optimization for 2023-2025 and President of the Association of Chairs of Operations Research Departments (ACORD) at INFORMS for 2024-2025. He has been chairing Lehigh ISE since August 2018.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EWe introduce and analyze new probabilistic strategies for enforcing sufficient decrease conditions in stochastic derivative-free optimization, with the goal of reducing sample complexity and simplifying convergence analysis. First, we develop a new tail bound condition imposed on the estimated reduction in function value, which permits flexible selection of the power used in the sufficient decrease test, q in (1,2]. This approach allows us to reduce the number of samples per iteration from the standard O(delta^{\u22124}) to O(delta^{-2q}), assuming\u0026nbsp;that the noise\u0026nbsp;moment of order q\/(q-1) is bounded. Second, we formulate the sufficient decrease condition as a sequential hypothesis testing problem, in which the algorithm adaptively collects samples until the evidence suffices to accept or reject a candidate step. This test provides statistical guarantees on decision errors and can further reduce the required sample size, particularly in the Gaussian noise setting, where it can approach\u0026nbsp;O(delta^{\u22122-r})\u0026nbsp;when the decrease is of the order of delta^r. We incorporate both techniques into stochastic direct-search and trust-region methods for potentially non-smooth, noisy objective functions, and establish their global convergence rates and properties.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Reducing Sample Complexity in Stochastic Derivative-Free Optimization via Tail Bounds and Hypothesis Testing"}],"uid":"36527","created_gmt":"2025-10-17 18:16:36","changed_gmt":"2025-10-17 18:21:02","author":"hulrich6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-11-07T11:00:00-05:00","event_time_end":"2025-11-07T12:00:00-05:00","event_time_end_last":"2025-11-07T12:00:00-05:00","gmt_time_start":"2025-11-07 16:00:00","gmt_time_end":"2025-11-07 17:00:00","gmt_time_end_last":"2025-11-07 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"685778":{"#nid":"685778","#data":{"type":"event","title":"Professional Education Course: Systems Operations and Strategic Interactions in Supply Chains","body":[{"value":"\u003Cp\u003EClasses\u0026nbsp;will be taught by LIVE video instruction similar to the experience you would receive in person with the same interactive components.\u0026nbsp;Each course will run for one week Monday through Thursday from 10am to 1:30pm ET each day with an optional extra day on Friday.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EOften the lack of cooperation and coordination between organizations or stakeholders lead to inefficiencies, despite having common goals. A systems view is needed to ensure appropriate use of scarce resources to meet the multiple, and often conflicting, short- and long-term goals from multiple constituents. This course will focus on conceptual and modeling skills to understand and effectively manage supply chains and operations from a systems perspective. Models will address system characteristics (e.g., demand dependencies) that drive system dynamics and policies to regulate performance. Course topics include methods for improving coordination and collaboration, addressing demand dependencies, and reliably measuring and evaluating system performance.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is designed for representatives from governmental or non-governmental organizations, private corporations, military, and foundations, including but not limited to senior executives overseeing administrative and operational functions of an organization, logistics and supply chain managers, program managers, directors of field operations, directors of emergency\/disaster preparedness and response, and public health professionals.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EIdentify opportunities for coordination within organizations and collaboration across organizations for increased efficiency and improved outcomes.\u003C\/li\u003E\u003Cli\u003EDescribe the strategic behavior of decision-makers and the impact of the market (or contract) structure on the participant\u0027s actions and the overall system dynamics.\u003C\/li\u003E\u003Cli\u003EDefine evaluation metrics in alignment with the system goals and structure system operations and incentives that address and evaluate these metrics.\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat Is Covered\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EHow coordination and collaboration can improve supply chain efficiency and effectiveness\u003C\/li\u003E\u003Cli\u003EHow events, decisions and actions in one part of a system, such as a supply chain, impact other parts of the system\u003C\/li\u003E\u003Cli\u003ESystem-wide inventory variability and costs mitigation and reduction\u003C\/li\u003E\u003Cli\u003EEvaluation metrics\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EAbout the Course and the\u0026nbsp;HHSCM Course Series\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is the first in a 3-part virtually synchronous professional education program. Register and pay for all three required\u0026nbsp;\u003Ca href=\u0022https:\/\/pe.gatech.edu\/node\/54\u0022\u003EHealth and Humanitarian Supply Chain Management Certificate courses\u003C\/a\u003E\u0026nbsp;and receive a discount of $400 off per course. Enter coupon code\u0026nbsp;\u003Cstrong\u003ESCL-HHS\u003C\/strong\u003E\u0026nbsp;at checkout with the Georgia Tech Professional Education website..\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAdditionally, there are scholarships available for the certificate program. Apply at \u003Ca href=\u0022https:\/\/chhs.gatech.edu\/course-scholarships\u0022\u003Ehttps:\/\/chhs.gatech.edu\/course-scholarships\u003C\/a\u003E by the noted deadline.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EQuestions? Reach out to\u0026nbsp;\u003Ca href=\u0022mailto:chhs@gatech.edu\u0022\u003Echhs@gatech.edu\u003C\/a\u003E!\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis course focuses on conceptual and modeling skills to understand and effectively manage supply chains and operations from a systems perspective. Models will address system characteristics (e.g., demand dependencies) that drive system dynamics and policies to regulate performance. Course topics include methods for improving coordination and collaboration, addressing demand dependencies, and reliably measuring and evaluating system performance.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Explore conceptual and modeling skills to understand and effectively manage humanitarian response from a systems perspective."}],"uid":"27233","created_gmt":"2025-10-17 14:53:05","changed_gmt":"2025-10-17 14:53:38","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-30T10:00:00-04:00","event_time_end":"2026-04-03T13:30:00-04:00","event_time_end_last":"2026-04-03T13:30:00-04:00","gmt_time_start":"2026-03-30 14:00:00","gmt_time_end":"2026-04-03 17:30:00","gmt_time_end_last":"2026-04-03 17:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Virtual\/Instructor-led","extras":[],"related_links":[{"url":"https:\/\/chhs.gatech.edu\/education\/professional-education","title":"Course Details via Center for Health and Humanitarian Systems website"},{"url":"https:\/\/pe.gatech.edu\/courses\/systems-operations-and-strategic-interactions-supply-chains","title":"Registration link via Georgia Tech Professional Education"},{"url":"https:\/\/pe.gatech.edu\/certificates\/health-humanitarian-supply-chain-management-certificate","title":"Health \u0026 Humanitarian Supply Chain Management Certificate"},{"url":"https:\/\/chhs.gatech.edu\/course-scholarships","title":"Apply for a Scholarship!"}],"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":"192986","name":"supply chain, logistics, humanitarian"}],"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:chhs@gatech.edu\u0022\u003Echhs@gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"685776":{"#nid":"685776","#data":{"type":"event","title":"Professional Education Course: Responsive Supply Chain Design and Operations","body":[{"value":"\u003Cp\u003EClasses\u0026nbsp;will be taught by LIVE video instruction similar to the experience you would receive in person with the same interactive components.\u0026nbsp;Each course will run for one week Monday through Thursday from 10am to 1:30pm ET each day with an optional extra day on Friday.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EMeeting demand in a timely and cost-effective manner is important both in public and private supply chains, and heavily depend on the design and operation of these supply chains. Demand is affected by ongoing factors such as local economy, infrastructure, and geographic location, as well as unexpected events such as natural or manmade disasters or other large-scale disruptions. Designing and operating responsive supply chains requires the consideration of uncertainty in timing, scope, scale, and understanding of various topics such as forecasting, distribution network design, and inventory management. This course will examine methods and models for making supply chain design and operational decisions and explore the significant value that is obtained through informed decision-making in advance of an unpredictable event or long-term strategy for meeting the need of customers and beneficiaries.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is designed for representatives from governmental or non-governmental organizations, private corporations, military, and foundations, including but not limited to senior executives overseeing administrative and operational functions of an organization, logistics and supply chain managers, program managers, directors of field operations, directors of emergency\/disaster preparedness and response, and public health professionals.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EProvide immediate impact to your organization through learnings gained from applied and real-world case studies.\u003C\/li\u003E\u003Cli\u003ELearn to bring NGOs, businesses, or government entities together to enhance collaboration, cooperation, and communication.\u003C\/li\u003E\u003Cli\u003EDiscover current trends and procedures to help organizations and team members get and stay ahead of the curve.\u003C\/li\u003E\u003Cli\u003EBuild a critical knowledge base to make tactical decisions around inventory, routing, and distribution.\u003C\/li\u003E\u003Cli\u003EDeliver best practices to measure and evaluate the efficiency, impact, and outcomes of focused initiatives or ongoing logistics and supply chain operations.\u003C\/li\u003E\u003Cli\u003ETransform the health and humanitarian sectors with increased capacity to participate in planning and strategic decision-making for effective supply-chain management.\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat Is Covered\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003ENetwork modeling approaches\u003C\/li\u003E\u003Cli\u003EForecasting techniques\u003C\/li\u003E\u003Cli\u003EStrategies for making decisions under uncertainty\u003C\/li\u003E\u003Cli\u003EOther data-driven analytical approaches\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EAbout the Course and the\u0026nbsp;HHSCM Course Series\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is the first in a 3-part virtually synchronous professional education program. Register and pay for all three required\u0026nbsp;\u003Ca href=\u0022https:\/\/pe.gatech.edu\/node\/54\u0022\u003EHealth and Humanitarian Supply Chain Management Certificate courses\u003C\/a\u003E\u0026nbsp;and receive a discount of $400 off per course. Enter coupon code\u0026nbsp;\u003Cstrong\u003ESCL-HHS\u003C\/strong\u003E\u0026nbsp;at checkout with the Georgia Tech Professional Education website..\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAdditionally, there are scholarships available for the certificate program. Apply at \u003Ca href=\u0022https:\/\/chhs.gatech.edu\/course-scholarships\u0022\u003Ehttps:\/\/chhs.gatech.edu\/course-scholarships\u003C\/a\u003E by the noted deadline.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EQuestions? Reach out to\u0026nbsp;\u003Ca href=\u0022mailto:chhs@gatech.edu\u0022\u003Echhs@gatech.edu\u003C\/a\u003E!\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis course examines methods and models for making pre-planning decisions and explores the significant value that is obtained through informed decision-making in advance of an unpredictable event or long-term strategy for sustaining wellness.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Explore the significant value that is obtained through informed decision-making in advance of an unpredictable event or long-term development"}],"uid":"27233","created_gmt":"2025-10-17 14:50:35","changed_gmt":"2025-10-17 14:52:40","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-09T10:00:00-04:00","event_time_end":"2026-03-13T13:30:00-04:00","event_time_end_last":"2026-03-13T13:30:00-04:00","gmt_time_start":"2026-03-09 14:00:00","gmt_time_end":"2026-03-13 17:30:00","gmt_time_end_last":"2026-03-13 17:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Virtual\/Instructor-led","extras":[],"related_links":[{"url":"https:\/\/chhs.gatech.edu\/education\/professional-education","title":"Course Details via Center for Health and Humanitarian Systems website"},{"url":"https:\/\/pe.gatech.edu\/courses\/responsive-supply-chain-design-and-operations","title":"Registration link via Georgia Tech Professional Education"},{"url":"https:\/\/pe.gatech.edu\/certificates\/health-humanitarian-supply-chain-management-certificate","title":"Health \u0026 Humanitarian Supply Chain Management Certificate"},{"url":"https:\/\/chhs.gatech.edu\/course-scholarships","title":"Apply for a Scholarship!"}],"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":"167074","name":"Supply Chain"},{"id":"233","name":"Logistics"},{"id":"8039","name":"Humanitarian"}],"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\u003Echhs@gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"685692":{"#nid":"685692","#data":{"type":"event","title":"ISyE Statistic Seminar - Zhu Han","body":[{"value":"\u003Ch3\u003ETitle:\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003EGenerative AI Enabled Semantic Communication\u003C\/p\u003E\u003Ch3\u003EAbstract:\u003C\/h3\u003E\u003Cp\u003ESemantic communication (SemCom), a prominent feature of 6G, aims to address communication problems at the semantic level by transferring semantic information accurately and efficiently. Advances in generative artificial intelligence (GAI), such as the development of large language models and improved generative capabilities, have significantly facilitated the implementation of SemCom. This talk presents three cases of GAI empowering SemCom: The first case is a Swin-Transformer-based dynamic SemCom system that optimizes semantic communication efficiency by dynamically adjusting the compression rate based on network conditions for multi-user scenarios with varying computing capacities. The second case is a federated learning framework designed to enhance global model performance in decentralized environments by leveraging Federated Local Loss (FedLol) for efficient aggregation, reduced communication overhead, and effective image reconstruction. The third case is an AI-generated content framework (AIGC-SCM) for remote monitoring, utilizing GAI to achieve high-fidelity reconstruction of compressed content while maintaining semantic consistency and optimizing energy efficiency. Experimental results and demo confirm the effectiveness of these methods and provide practical insights for integrating SemCom with GAI.\u003C\/p\u003E\u003Ch3\u003EBio:\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003EZhu Han received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical and computer engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. From 2000 to 2002, he was an R\u0026amp;D Engineer of JDSU, Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistant professor at Boise State University, Idaho. Currently, he is a John and Rebecca Moores Professor in the Electrical and Computer Engineering Department as well as the Computer Science Department at the University of Houston, Texas. Dr. Han is an NSF CAREER award recipient of 2010, and the winner of the 2021 IEEE Kiyo Tomiyasu Award. He has been an IEEE fellow since 2014, an AAAS fellow since 2020, ACM fellow since 2024, an IEEE Distinguished Lecturer from 2015 to 2018, and an ACM Distinguished Speaker from 2022-2025. Dr. Han is also a 1% highly cited researcher since 2017.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Ch3\u003EAbstract:\u003C\/h3\u003E\u003Cp\u003ESemantic communication (SemCom), a prominent feature of 6G, aims to address communication problems at the semantic level by transferring semantic information accurately and efficiently. Advances in generative artificial intelligence (GAI), such as the development of large language models and improved generative capabilities, have significantly facilitated the implementation of SemCom. This talk presents three cases of GAI empowering SemCom: The first case is a Swin-Transformer-based dynamic SemCom system that optimizes semantic communication efficiency by dynamically adjusting the compression rate based on network conditions for multi-user scenarios with varying computing capacities. The second case is a federated learning framework designed to enhance global model performance in decentralized environments by leveraging Federated Local Loss (FedLol) for efficient aggregation, reduced communication overhead, and effective image reconstruction. The third case is an AI-generated content framework (AIGC-SCM) for remote monitoring, utilizing GAI to achieve high-fidelity reconstruction of compressed content while maintaining semantic consistency and optimizing energy efficiency. Experimental results and demo confirm the effectiveness of these methods and provide practical insights for integrating SemCom with GAI.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Generative AI Enabled Semantic Communication"}],"uid":"36767","created_gmt":"2025-10-13 16:43:05","changed_gmt":"2025-10-13 16:47:25","author":"khua31","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-10-27T11:00:00-04:00","event_time_end":"2025-10-27T12:00:00-04:00","event_time_end_last":"2025-10-27T12:00:00-04:00","gmt_time_start":"2025-10-27 15:00:00","gmt_time_end":"2025-10-27 16:00:00","gmt_time_end_last":"2025-10-27 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"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":""}},"680240":{"#nid":"680240","#data":{"type":"event","title":"(CANCELED) SCL Course: Engineering the Warehouse (Onsite\/In-Person)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThe requirement for high levels of customer service, increasing numbers of Stock Keeping Units (SKUs), and high labor costs have dramatically increased the complexity of warehouse operations. It is no longer sufficient to manage a warehouse based on a simple, arbitrary \u201cABC\u201d classification of SKUs, which treats all those in a category as if they were identical. Instead, each decision, such as where to store or where to pick product, must be based on careful engineering and economic analysis.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is designed for supply chain and logistics consultants, supply chain engineers and analysts, facility engineers, and warehouse supervisors and team leaders.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EExchange space for time (or vice versa) to better meet business objectives.\u003C\/li\u003E\u003Cli\u003EUnderstand when to use dedicated storage and when to use shared storage.\u003C\/li\u003E\u003Cli\u003EIdentify the most convenient locations in a warehouse based on an economic model.\u003C\/li\u003E\u003Cli\u003EIdentify patterns in customer orders and exploit these to speed fulfillment.\u003C\/li\u003E\u003Cli\u003EEvaluate warehouse performance.\u003C\/li\u003E\u003Cli\u003EOptimally size and stock a forward pick area.\u003C\/li\u003E\u003Cli\u003EUnderstand the best practices in order-picking.\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat You Will Learn\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EWarehouse performance\u003C\/li\u003E\u003Cli\u003EModern warehouse trade-offs\u003C\/li\u003E\u003Cli\u003ESize and stocking optimization\u003C\/li\u003E\u003Cli\u003EOrder-picking best practices\u003C\/li\u003E\u003Cli\u003EAutomation\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe requirement for high levels of customer service, increasing numbers of Stock Keeping Units (SKUs), and high labor costs have dramatically increased the complexity of warehouse operations. It is no longer sufficient to manage a warehouse based on a simple, arbitrary \u201cABC\u201d classification of SKUs, which treats all those in a category as if they were identical. Instead, each decision, such as where to store or where to pick product, must be based on careful engineering and economic analysis.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Optimize warehouse operations by learning engineering principles and economic analysis for space utilization, storage strategies, order picking, and performance evaluation."}],"uid":"36698","created_gmt":"2025-02-05 20:03:15","changed_gmt":"2025-10-07 22:24:28","author":"dramirez65","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-10-27T08:00:00-04:00","event_time_end":"2025-10-29T16:00:00-04:00","event_time_end_last":"2025-10-29T16:00:00-04:00","gmt_time_start":"2025-10-27 12:00:00","gmt_time_end":"2025-10-29 20:00:00","gmt_time_end_last":"2025-10-29 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Georgia Tech Savannah Campus","extras":[],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education\/course\/engwh","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":"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\u003Einfo@scl.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"685581":{"#nid":"685581","#data":{"type":"event","title":"ISyE Seminar - Qiang Huang","body":[{"value":"\u003Cp\u003ETitle: Automated Geometric Qualification of 3D-Printed Products\u003C\/p\u003E\u003Cp\u003EAbstract:\u003C\/p\u003E\u003Cp\u003EGeometric qualification of a product is typically performed by specifying features or regions of interest (ROIs) during design, conducting shape registration to establish correspondence between the inspected product and its design counterpart, and measuring discrepancies for compliance assessment. For complex freeform products, the qualification often requires human intervention to ensure accuracy, particularly in personalized manufacturing through 3D printing. However, geometric variety and complexity can induce operator-to-operator variability due to heterogeneous spatial distributions of geometric distortions. To enable automated product qualification, we propose to specify ROIs as surface patches defined by geometric descriptors indicative of intrinsic deviation patterns. Utilizing these descriptors, ROI specification via shape space dimension reduction, non-rigid intrinsic shape registration, and intrinsic deviation representation can therefore be conducted automatically for product qualification. Finite types of ROIs or surface patches can be extracted based on their intrinsic deviation patterns, independent of covariates such as size and location. A software demo has been developed to implement the qualification process.\u003C\/p\u003E\u003Cp\u003EBio:\u003C\/p\u003E\u003Cp\u003EDr. Qiang Huang is a Professor at the Daniel J. Epstein Department of Industrial and Systems Engineering, University of Southern California (USC), Los Angeles. His research, detailed in his monograph \u0022Domain-informed Machine Learning for Smart Manufacturing\u0022, has been focusing on machine learning for smart manufacturing and quality control for personalized manufacturing. He is an IISE Fellow Award, ASME Fellow, and a senior member of US National Academy of Inventors. He holds eight patents related to quality control in additive manufacturing.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeometric qualification of a product is typically performed by specifying features or regions of interest (ROIs) during design, conducting shape registration to establish correspondence between the inspected product and its design counterpart, and measuring discrepancies for compliance assessment. For complex freeform products, the qualification often requires human intervention to ensure accuracy, particularly in personalized manufacturing through 3D printing. However, geometric variety and complexity can induce operator-to-operator variability due to heterogeneous spatial distributions of geometric distortions. To enable automated product qualification, we propose to specify ROIs as surface patches defined by geometric descriptors indicative of intrinsic deviation patterns. Utilizing these descriptors, ROI specification via shape space dimension reduction, non-rigid intrinsic shape registration, and intrinsic deviation representation can therefore be conducted automatically for product qualification. Finite types of ROIs or surface patches can be extracted based on their intrinsic deviation patterns, independent of covariates such as size and location. A software demo has been developed to implement the qualification process.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Automated Geometric Qualification of 3D-Printed Products"}],"uid":"36527","created_gmt":"2025-10-07 19:16:53","changed_gmt":"2025-10-07 19:20:37","author":"hulrich6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-10-24T11:00:00-04:00","event_time_end":"2025-10-24T12:00:00-04:00","event_time_end_last":"2025-10-24T12:00:00-04:00","gmt_time_start":"2025-10-24 15:00:00","gmt_time_end":"2025-10-24 16:00:00","gmt_time_end_last":"2025-10-24 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"685574":{"#nid":"685574","#data":{"type":"event","title":"ISyE Seminar - Peihua Qiu","body":[{"value":"\u003Cp\u003ETitle: Forest Expression and Online Monitoring of Dynamic Networks\u003C\/p\u003E\u003Cp\u003EAbstract:\u003C\/p\u003E\u003Cp\u003ENetwork sequences are widely used to describe the longitudinal evolution of dynamic systems. Effective online monitoring of such sequences is crucial for detecting temporal structural changes in these systems. In the statistical process control (SPC) literature, a common approach is to extract key features from observed networks and then apply an SPC chart to monitor these features sequentially over time. However, existing methods often rely on features that are insensitive to certain important structural changes, and the control charts employed may not adequately capture the complex dependence structure among the extracted features. In our recent research, we propose four specific features to characterize the structure of an observed network. Collectively, these features can capture most of the structural changes of interest across various applications. After extracting these features, we employ a multivariate nonparametric control chart for online monitoring. Furthermore, we introduce a novel framework that represents each connected component of a network as a tree and the entire network as a forest. This forest-based representation enables intuitive 3D visualization and provides new structural features that enhance network comparison and monitoring. These new methods for network visualization and monitoring will be discussed in this talk, accompanied by extensive numerical demonstrations.\u003C\/p\u003E\u003Cp\u003EBio:\u003C\/p\u003E\u003Cp\u003EDr. Peihua Qiu is the Dean\u2019s Professor and Founding Chair of the Department of Biostatistics at the University of Florida. He earned his PhD in Statistics from the University of Wisconsin\u2013Madison in 1996. Dr. Qiu has made major contributions to several research areas, including jump regression analysis, image processing, statistical process control, survival analysis, dynamic disease screening, and spatio-temporal disease surveillance. He is the author of three books and more than 180 peer-reviewed journal articles. Dr. Qiu is an elected Fellow of the American Association for the Advancement of Science (AAAS), the American Statistical Association (ASA), the American Society for Quality (ASQ), and the Institute of Mathematical Statistics (IMS), and an elected member of the International Statistical Institute (ISI). He previously served as Editor of Technometrics (2014\u20132016) and is the 2024 recipient of the Shewhart Medal.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ENetwork sequences are widely used to describe the longitudinal evolution of dynamic systems. Effective online monitoring of such sequences is crucial for detecting temporal structural changes in these systems. In the statistical process control (SPC) literature, a common approach is to extract key features from observed networks and then apply an SPC chart to monitor these features sequentially over time. However, existing methods often rely on features that are insensitive to certain important structural changes, and the control charts employed may not adequately capture the complex dependence structure among the extracted features. In our recent research, we propose four specific features to characterize the structure of an observed network. Collectively, these features can capture most of the structural changes of interest across various applications. After extracting these features, we employ a multivariate nonparametric control chart for online monitoring. Furthermore, we introduce a novel framework that represents each connected component of a network as a tree and the entire network as a forest. This forest-based representation enables intuitive 3D visualization and provides new structural features that enhance network comparison and monitoring. These new methods for network visualization and monitoring will be discussed in this talk, accompanied by extensive numerical demonstrations.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Forest Expression and Online Monitoring of Dynamic Networks"}],"uid":"36527","created_gmt":"2025-10-07 13:14:38","changed_gmt":"2025-10-07 13:17:26","author":"hulrich6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-10-31T11:00:00-04:00","event_time_end":"2025-10-31T12:00:00-04:00","event_time_end_last":"2025-10-31T12:00:00-04:00","gmt_time_start":"2025-10-31 15:00:00","gmt_time_end":"2025-10-31 16:00:00","gmt_time_end_last":"2025-10-31 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"685429":{"#nid":"685429","#data":{"type":"event","title":"ISyE Seminar - Ermin Wei","body":[{"value":"\u003Cp\u003ETitle: Incentive Aligned and Robust Distributed Learning Methods\u003C\/p\u003E\u003Cp\u003EAbstract:\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDistributed and federated learning enables machine learning algorithms to be trained over decentralized edge devices without requiring the exchange of local datasets. We consider two scenarios in this talk. In the first scenario, we have mostly cooperative agents running distributed optimization methods. We analyze how the distribution of data affects agents\u0027 incentives to voluntarily participate and obediently follow traditional federated learning algorithms. We design a Faithful Federated Learning (FFL) mechanism based on FedAvg method and VCG mechanism which achieves (probably approximate) optimality, faithful implementation, voluntary participation, and balanced budget. We then analyze an alternative approach to align individual agent\u2019s incentive to participate by allowing them to opt in or out. We propose a game theoretic framework and study the equilibrium properties with both rational and bounded rational agents. In the second scenario, we turn to a game theoretic formulation, where the agents may be under attack. We characterize the tradeoffs between convergence speed and robustness of learning dynamics.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EBio:\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EErmin Wei is an Associate Professor at the Electrical and Computer Engineering Department and Industrial Engineering and Management Sciences Department of Northwestern University. She completed her PhD studies in Electrical Engineering and Computer Science at MIT in 2014, advised by Professor Asu Ozdaglar, where she also obtained her M.S. She received her undergraduate triple degree in Computer Engineering, Finance and Mathematics with a minor in German, from University of Maryland, College Park.\u0026nbsp;Her team won the 2nd place in the GO-competition Challenge 1, an electricity grid optimization competition organized by Department of Energy. Wei\u0027s research interests include distributed optimization methods, convex optimization and analysis, smart grid, communication systems and energy networks and market economic analysis.\u003C\/p\u003E\u003Cdiv\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EDistributed and federated learning enables machine learning algorithms to be trained over decentralized edge devices without requiring the exchange of local datasets. We consider two scenarios in this talk. In the first scenario, we have mostly cooperative agents running distributed optimization methods. We analyze how the distribution of data affects agents\u0027 incentives to voluntarily participate and obediently follow traditional federated learning algorithms. We design a Faithful Federated Learning (FFL) mechanism based on FedAvg method and VCG mechanism which achieves (probably approximate) optimality, faithful implementation, voluntary participation, and balanced budget. We then analyze an alternative approach to align individual agent\u2019s incentive to participate by allowing them to opt in or out. We propose a game theoretic framework and study the equilibrium properties with both rational and bounded rational agents. In the second scenario, we turn to a game theoretic formulation, where the agents may be under attack. We characterize the tradeoffs between convergence speed and robustness of learning dynamics.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Incentive Aligned and Robust Distributed Learning Methods"}],"uid":"36527","created_gmt":"2025-10-01 16:50:59","changed_gmt":"2025-10-01 16:54:18","author":"hulrich6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-10-17T11:00:00-04:00","event_time_end":"2025-10-17T12:00:00-04:00","event_time_end_last":"2025-10-17T12:00:00-04:00","gmt_time_start":"2025-10-17 15:00:00","gmt_time_end":"2025-10-17 16:00:00","gmt_time_end_last":"2025-10-17 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"680339":{"#nid":"680339","#data":{"type":"event","title":"(CANCELED) SCL Course: Lean Warehousing (Virtual\/Instructor-led)","body":[{"value":"\u003Ch4\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h4\u003E\u003Cp\u003EThis course will demonstrate how warehouse operations are a key enabler to a successful supply chain implementation and the starting point for a transformation. It is critical to manage safety, quality and efficiency. Learn to leverage the lean supply chain modifications to improve customer responsiveness and reduce operating costs and in doing so contributing to a supply chain that creates a competitive advantage for a company. To accomplish this goal, we must bring lean principles into the warehouse and distribution center.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ESupply chain professionals, logistics professionals, material managers, production control managers, transportation managers, warehousing managers and purchasing managers\u003C\/p\u003E\u003Ch4\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h4\u003E\u003Cp\u003E\u003Cstrong\u003EUpon completion of this course, you will be able to:\u003C\/strong\u003E\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EIsolate the key elements of lean thinking to be used in the warehouse\u003C\/li\u003E\u003Cli\u003EValue stream map warehouse operations\u003C\/li\u003E\u003Cli\u003EUtilize lean tools to reduce waste in the warehouse\u003C\/li\u003E\u003Cli\u003ECreate a warehouse operation based on visual management and real time problem solving\u003C\/li\u003E\u003Cli\u003EReduce inventories in warehouse operations\u003C\/li\u003E\u003Cli\u003ECreate collaboration between warehousing and other functional areas\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Cstrong\u003EBenefits:\u003C\/strong\u003E\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EReduce inventories in the warehouse\u003C\/li\u003E\u003Cli\u003EReduce warehousing costs by as much as 25%\u003C\/li\u003E\u003Cli\u003EImplement lean in the warehouse\u003C\/li\u003E\u003Cli\u003ECreate logistics collaboration between warehousing and other functional areas\u003C\/li\u003E\u003C\/ul\u003E\u003Ch4\u003E\u003Cstrong\u003EWhat is Covered\u003C\/strong\u003E\u003C\/h4\u003E\u003Cul\u003E\u003Cli\u003ELean Warehouse Overview\u003C\/li\u003E\u003Cli\u003ESupply Chain Implementation Framework\u003C\/li\u003E\u003Cli\u003ELean Storage Planning Approach\u003C\/li\u003E\u003Cli\u003EApplication of a Lean Storage Location Sizing Method\u003C\/li\u003E\u003Cli\u003EJIT Implementation Approach\u003C\/li\u003E\u003Cli\u003EHow To Develop Standard Work Batches\u003C\/li\u003E\u003Cli\u003EGeneration of an Operational Diagram\u003C\/li\u003E\u003Cli\u003ECreation of a Daily Operational Work Load Plan\u003C\/li\u003E\u003Cli\u003EDevelopment of a Progress Control Board\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis course will demonstrate how warehouse operations are a key enabler to a successful supply chain implementation and the starting point for a transformation. It is critical to manage safety, quality and efficiency. Learn to leverage the lean supply chain modifications to improve customer responsiveness and reduce operating costs and in doing so contributing to a supply chain that creates a competitive advantage for a company. To accomplish this goal, we must bring lean principles into the warehouse and distribution center.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Learn how warehouse operations are a key enabler to a successful supply chain implementation and the starting point for a transformation."}],"uid":"27233","created_gmt":"2025-02-07 23:41:42","changed_gmt":"2025-10-01 15:10:57","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-10-20T08:00:00-04:00","event_time_end":"2025-10-24T17:00:00-04:00","event_time_end_last":"2025-10-24T17:00:00-04:00","gmt_time_start":"2025-10-20 12:00:00","gmt_time_end":"2025-10-24 21:00:00","gmt_time_end_last":"2025-10-24 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Virtual\/Instructor-led","extras":[],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/leanwh","title":"Course webpage within the SCL website"}],"groups":[{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"1676","name":"lean"},{"id":"6140","name":"warehousing"},{"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":""}},"685352":{"#nid":"685352","#data":{"type":"event","title":"ISYE Quantum Computing Seminar - Ojas Parekh","body":[{"value":"\u003Ch2\u003EWhere are the exponential quantum advantages for discrete optimization hiding?\u003C\/h2\u003E\u003Cp\u003E\u003Cstrong\u003ESummary:\u003C\/strong\u003E\u003Cbr\u003EThis seminar examines why exponential quantum advantages for NP-hard discrete optimization remain elusive and explores potential explanations and workarounds through the Maximum Cut problem.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003Cbr\u003EQuantum computing offers hope for realizing exponential advantages over classical computing. Despite over two decades of work studying quantum approaches for discrete optimization, rigorously provable exponential advantages for approximating optimal solutions to NP-hard problems remain scarce. Why? We will discuss a potential explanation and workarounds, using the Maximum Cut problem as a running example.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker Bio:\u003C\/strong\u003E\u003Cbr\u003EOjas Parekh is a theoretical computer scientist who enjoys applying mathematical techniques to practically motivated interdisciplinary problems. He has worked in a variety of fields including discrete optimization, combinatorics, combinatorial scientific computing, and most recently, quantum and neuromorphic computing. A recent passion is helping shape the emerging fields of quantum approximation algorithms and quantum discrete optimization. He co-directs the Quantum Algorithms and Applications Collaboratory (QuAAC) at Sandia National Laboratories and directs the Department of Energy Fundamental Algorithmic Research toward Quantum Utility project (\u003Ca href=\u0022http:\/\/far-qu.sandia.gov\u0022\u003Efar-qu.sandia.gov\u003C\/a\u003E), a multi-institutional effort tasked with designing novel quantum algorithms to realize advantages over classical computation, especially for optimization, simulation, and machine learning. Ojas believes the universe loves us because pizza exists.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis seminar examines why exponential quantum advantages for NP-hard discrete optimization remain elusive and explores potential explanations and workarounds through the Maximum Cut problem.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"This seminar explores why exponential quantum speedups for NP-hard discrete optimization remain elusive and highlights potential explanations and workarounds using the Maximum Cut problem as a case study."}],"uid":"36458","created_gmt":"2025-09-29 15:13:50","changed_gmt":"2025-10-01 15:02:58","author":"mellis74","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-10-08T11:00:00-04:00","event_time_end":"2025-10-08T12:00:00-04:00","event_time_end_last":"2025-10-08T12:00:00-04:00","gmt_time_start":"2025-10-08 15:00:00","gmt_time_end":"2025-10-08 16:00:00","gmt_time_end_last":"2025-10-08 16:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"678173":{"id":"678173","type":"image","title":"Ojas Parekh","body":null,"created":"1759159970","gmt_created":"2025-09-29 15:32:50","changed":"1759159970","gmt_changed":"2025-09-29 15:32:50","alt":"Ojas Parekh","file":{"fid":"262166","name":"ojas-copy-1024x1024.jpg","image_path":"\/sites\/default\/files\/2025\/09\/29\/ojas-copy-1024x1024_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/09\/29\/ojas-copy-1024x1024_0.jpg","mime":"image\/jpeg","size":117385,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/09\/29\/ojas-copy-1024x1024_0.jpg?itok=WR2OXn5P"}}},"media_ids":["678173"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"4359","name":"quantum computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"685214":{"#nid":"685214","#data":{"type":"event","title":"Fall Break 2025","body":[{"value":"\u003Cp\u003ENo Classes - Campus Open.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ENo Classes - Campus Open.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"No Classes - Campus Open.  "}],"uid":"27469","created_gmt":"2025-09-24 14:47:51","changed_gmt":"2025-09-24 14:48:51","author":"Kristen Bailey","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-10-06T00:00:00-04:00","event_time_end":"2025-10-07T23:59:59-04:00","event_time_end_last":"2025-10-07T23:59:59-04:00","gmt_time_start":"2025-10-06 04:00:00","gmt_time_end":"2025-10-08 03:59:59","gmt_time_end_last":"2025-10-08 03:59:59","rrule":null,"timezone":"America\/New_York"},"location":"Georgia Tech Campus","extras":[],"related_links":[{"url":"http:\/\/registrar.gatech.edu\/","title":"Office of the Registrar"}],"groups":[{"id":"253201","name":"Academic Calendar"},{"id":"253221","name":"Institute Holidays"}],"categories":[],"keywords":[{"id":"61451","name":"Academic Calendar"},{"id":"14715","name":"fall break"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"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":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:comments@registrar.gatech.edu\u0022\u003Ecomments@registrar.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"685178":{"#nid":"685178","#data":{"type":"event","title":"SCL Lunch and Learn: \u201cPricing Pressure, Profit Levers: How Smart Companies Are Reshaping the P\u0026L\u0022","body":[{"value":"\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003ELearn actionable ways to rethink your pricing strategy, rewire your cost model, and build flexibility into your financial future.\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EThursday, November 6, 2025 | 12-1pm ET\u003C\/strong\u003E\u003C\/p\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003EWhere are you finding new room to move in your margins? With inflation, new tariffs, and waning consumer demand, pricing has become a balancing act. Many businesses have already squeezed every ounce of efficiency out of their operations. 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The settings have no balance and the least squares algebra grows as N^(3\/2) or worse. For generalized linear mixed models (GLMMs) there is the further difficulty of a very high dimensional integral. For instance we consider a likelihood with an integral over D~700,000 random effects, using only N~5,000,000 observations. The usual Laplace approximation method evaluates the D dimensional integral using just one integration point, and there is uncertainty about whether that is reliable. The MLE is infeasible in this problem and has only recently been shown to be consistent (Jiang, 2013). For a probit model, we develop a composite likelihood approach based on computing D one dimensional integrals. It is very scalable and we prove consistency which might not hold for the Laplace based method.\u003C\/p\u003E\u003Cp\u003EThis is based on joint work with Ruggero Bellio and Swarnadip Ghosh and Cristiano Varin.\u003C\/p\u003E\u003Cp\u003EBio:\u003C\/p\u003E\u003Cp\u003EArt Owen is the Max H. Stein Professor of Statistics at Stanford University. He is best known for inventing the empirical likelihood and for developing and studying randomized quasi-Monte Carlo methods. His research interests are centered on ways to measure uncertainty and ways to sample. He is a fellow of the American Statistical Association and the Institute of Mathematical Statistics. He received the 2020 Senior Noether Prize in nonparametric statistics from the ASA and the 2021 Gold Medal from the Statistical Society of Canada and became a SIAM Fellow in 2024.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ESparsely sampled crossed random effects models arise in product review data, with effects for customers crossed with effects for products. The settings have no balance and the least squares algebra grows as N^(3\/2) or worse. For generalized linear mixed models (GLMMs) there is the further difficulty of a very high dimensional integral. For instance we consider a likelihood with an integral over D~700,000 random effects, using only N~5,000,000 observations. The usual Laplace approximation method evaluates the D dimensional integral using just one integration point, and there is uncertainty about whether that is reliable. The MLE is infeasible in this problem and has only recently been shown to be consistent (Jiang, 2013). For a probit model, we develop a composite likelihood approach based on computing D one dimensional integrals. It is very scalable and we prove consistency which might not hold for the Laplace based method.\u003C\/p\u003E\u003Cp\u003E\r\n\r\nThis is based on joint work with Ruggero Bellio and Swarnadip Ghosh\r\nand Cristiano Varin.\r\n\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Composite Likelihood for a Very Large Scale Binary Regression with Crossed Random Effects"}],"uid":"36527","created_gmt":"2025-09-05 19:50:00","changed_gmt":"2025-09-08 13:46:11","author":"hulrich6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-19T11:00:00-04:00","event_time_end":"2025-09-19T12:00:00-04:00","event_time_end_last":"2025-09-19T12:00:00-04:00","gmt_time_start":"2025-09-19 15:00:00","gmt_time_end":"2025-09-19 16:00:00","gmt_time_end_last":"2025-09-19 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"681888":{"#nid":"681888","#data":{"type":"event","title":"(POSTPONED) Professional Education Course: Inventory Management and Resource Allocation in Supply Chains","body":[{"value":"\u003Cp\u003EClasses\u0026nbsp;will be taught by LIVE video instruction similar to the experience you would receive in person with the same interactive components.\u0026nbsp;Each course will run for one week Monday through Thursday from 10am to 1:30pm ET each day with an optional extra day on Friday.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EMany Supply Chain decisions are concerned with the timely and efficient procurement, allocation, and distribution of resources (e.g. funds, supplies, volunteers, money, employees) through a supply chain network. This course will explore methodologies for \u201cmedium term\u201d decision making including procurement and inventory policies, strategies for distribution and allocation of limited resources, and supply chain design.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is designed for representatives from governmental or non-governmental organizations, private corporations, military, and foundations, including but not limited to senior executives overseeing administrative and operational functions of an organization, logistics and supply chain managers, program managers, directors of field operations, directors of emergency\/disaster preparedness and response, and public health professionals.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EProvide immediate impact to your organization through applied and real-world case studies.\u003C\/li\u003E\u003Cli\u003ELearn to bring NGOs, businesses, or government entities together to enhance collaboration, cooperation, and communication.\u003C\/li\u003E\u003Cli\u003EDiscover current trends and procedures to help your organization and team members get and stay ahead of the curve.\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat Is Covered\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EProcurement decisions\u003C\/li\u003E\u003Cli\u003EInventory management techniques for a single event versus ongoing operations under uncertainty\u003C\/li\u003E\u003Cli\u003EStrategies for resource allocation geographically and over time\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EAbout the Course and the\u0026nbsp;HHSCM Course Series\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is the second in a 3-part virtually synchronous professional education program. Register and pay for all three required\u0026nbsp;\u003Ca href=\u0022https:\/\/pe.gatech.edu\/node\/54\u0022\u003EHealth and Humanitarian Supply Chain Management Certificate courses\u003C\/a\u003E\u0026nbsp;and receive a discount of $400 off per course. Enter coupon code\u0026nbsp;\u003Cstrong\u003ESCL-HHS\u003C\/strong\u003E\u0026nbsp;at checkout with the Georgia Tech Professional Education website..\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAdditionally, there are scholarships available for the certificate program. Apply at \u003Ca href=\u0022https:\/\/chhs.gatech.edu\/course-scholarships\u0022\u003Ehttps:\/\/chhs.gatech.edu\/course-scholarships\u003C\/a\u003E by the noted deadline.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EQuestions? Reach out to\u0026nbsp;\u003Ca href=\u0022mailto:chhs@gatech.edu\u0022\u003Echhs@gatech.edu\u003C\/a\u003E!\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis course explores methodologies for tactical decision making including procurement and inventory policies, strategies for distribution and allocation of limited resources, and transportation decisions.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Inventory availability is the most important aspect of customer service, and the cost of inventory is one of the most important entries on a company\u0027s balance sheet."}],"uid":"27233","created_gmt":"2025-04-17 19:32:14","changed_gmt":"2025-09-05 17:10:07","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-22T10:00:00-04:00","event_time_end":"2025-09-26T13:30:00-04:00","event_time_end_last":"2025-09-26T13:30:00-04:00","gmt_time_start":"2025-09-22 14:00:00","gmt_time_end":"2025-09-26 17:30:00","gmt_time_end_last":"2025-09-26 17:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Virtual\/Instructor-led","extras":[],"related_links":[{"url":"https:\/\/pe.gatech.edu\/courses\/inventory-management-and-resource-allocation-supply-chains","title":"Registration link via Georgia Tech Professional Education"},{"url":"https:\/\/chhs.gatech.edu\/education\/professional-education\/course\/invmgmt","title":"Course Details via Center for Health and Humanitarian Systems website"},{"url":"https:\/\/pe.gatech.edu\/certificates\/health-humanitarian-supply-chain-management-certificate","title":"Health \u0026 Humanitarian Supply Chain Management Certificate"},{"url":"https:\/\/chhs.gatech.edu\/course-scholarships","title":"Apply for a Scholarship!"}],"groups":[{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[],"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\u003Echhs@gatech.edu\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"681889":{"#nid":"681889","#data":{"type":"event","title":"(POSTPONED) Professional Education Course: Systems Operations and Strategic Interactions in Supply Chains","body":[{"value":"\u003Cp\u003EClasses\u0026nbsp;will be taught by LIVE video instruction similar to the experience you would receive in person with the same interactive components.\u0026nbsp;Each course will run for one week Monday through Thursday from 10am to 1:30pm ET each day with an optional extra day on Friday.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EOften the lack of cooperation and coordination between organizations or stakeholders lead to inefficiencies, despite having common goals. A systems view is needed to ensure appropriate use of scarce resources to meet the multiple, and often conflicting, short- and long-term goals from multiple constituents. This course will focus on conceptual and modeling skills to understand and effectively manage supply chains and operations from a systems perspective. Models will address system characteristics (e.g., demand dependencies) that drive system dynamics and policies to regulate performance. Course topics include methods for improving coordination and collaboration, addressing demand dependencies, and reliably measuring and evaluating system performance.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is designed for representatives from governmental or non-governmental organizations, private corporations, military, and foundations, including but not limited to senior executives overseeing administrative and operational functions of an organization, logistics and supply chain managers, program managers, directors of field operations, directors of emergency\/disaster preparedness and response, and public health professionals.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EIdentify opportunities for coordination within organizations and collaboration across organizations for increased efficiency and improved outcomes.\u003C\/li\u003E\u003Cli\u003EDescribe the strategic behavior of decision-makers and the impact of the market (or contract) structure on the participant\u0027s actions and the overall system dynamics.\u003C\/li\u003E\u003Cli\u003EDefine evaluation metrics in alignment with the system goals and structure system operations and incentives that address and evaluate these metrics.\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat Is Covered\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EHow coordination and collaboration can improve supply chain efficiency and effectiveness\u003C\/li\u003E\u003Cli\u003EHow events, decisions and actions in one part of a system, such as a supply chain, impact other parts of the system\u003C\/li\u003E\u003Cli\u003ESystem-wide inventory variability and costs mitigation and reduction\u003C\/li\u003E\u003Cli\u003EEvaluation metrics\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EAbout the Course and the\u0026nbsp;HHSCM Course Series\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is the first in a 3-part virtually synchronous professional education program. Register and pay for all three required\u0026nbsp;\u003Ca href=\u0022https:\/\/pe.gatech.edu\/node\/54\u0022\u003EHealth and Humanitarian Supply Chain Management Certificate courses\u003C\/a\u003E\u0026nbsp;and receive a discount of $400 off per course. Enter coupon code\u0026nbsp;\u003Cstrong\u003ESCL-HHS\u003C\/strong\u003E\u0026nbsp;at checkout with the Georgia Tech Professional Education website..\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAdditionally, there are scholarships available for the certificate program. Apply at \u003Ca href=\u0022https:\/\/chhs.gatech.edu\/course-scholarships\u0022\u003Ehttps:\/\/chhs.gatech.edu\/course-scholarships\u003C\/a\u003E by the noted deadline.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EQuestions? Reach out to\u0026nbsp;\u003Ca href=\u0022mailto:chhs@gatech.edu\u0022\u003Echhs@gatech.edu\u003C\/a\u003E!\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis course focuses on conceptual and modeling skills to understand and effectively manage supply chains and operations from a systems perspective. Models will address system characteristics (e.g., demand dependencies) that drive system dynamics and policies to regulate performance. Course topics include methods for improving coordination and collaboration, addressing demand dependencies, and reliably measuring and evaluating system performance.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Explore conceptual and modeling skills to understand and effectively manage humanitarian response from a systems perspective."}],"uid":"27233","created_gmt":"2025-04-17 19:33:50","changed_gmt":"2025-09-05 17:09:01","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-29T10:00:00-04:00","event_time_end":"2025-10-03T13:30:00-04:00","event_time_end_last":"2025-10-03T13:30:00-04:00","gmt_time_start":"2025-09-29 14:00:00","gmt_time_end":"2025-10-03 17:30:00","gmt_time_end_last":"2025-10-03 17:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Virtual\/Instructor-led","extras":[],"related_links":[{"url":"https:\/\/chhs.gatech.edu\/education\/professional-education","title":"Course Details via Center for Health and Humanitarian Systems website"},{"url":"https:\/\/pe.gatech.edu\/courses\/systems-operations-and-strategic-interactions-supply-chains","title":"Registration link via Georgia Tech Professional Education"},{"url":"https:\/\/pe.gatech.edu\/certificates\/health-humanitarian-supply-chain-management-certificate","title":"Health \u0026 Humanitarian Supply Chain Management Certificate"},{"url":"https:\/\/chhs.gatech.edu\/course-scholarships","title":"Apply for a Scholarship!"}],"groups":[{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"192986","name":"supply chain, logistics, humanitarian"}],"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:chhs@gatech.edu\u0022\u003Echhs@gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"681887":{"#nid":"681887","#data":{"type":"event","title":"(POSTPONED) Professional Education Course: Responsive Supply Chain Design and Operations","body":[{"value":"\u003Cp\u003EClasses\u0026nbsp;will be taught by LIVE video instruction similar to the experience you would receive in person with the same interactive components.\u0026nbsp;Each course will run for one week Monday through Thursday from 10am to 1:30pm ET each day with an optional extra day on Friday.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EMeeting demand in a timely and cost-effective manner is important both in public and private supply chains, and heavily depend on the design and operation of these supply chains. Demand is affected by ongoing factors such as local economy, infrastructure, and geographic location, as well as unexpected events such as natural or manmade disasters or other large-scale disruptions. Designing and operating responsive supply chains requires the consideration of uncertainty in timing, scope, scale, and understanding of various topics such as forecasting, distribution network design, and inventory management. This course will examine methods and models for making supply chain design and operational decisions and explore the significant value that is obtained through informed decision-making in advance of an unpredictable event or long-term strategy for meeting the need of customers and beneficiaries.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is designed for representatives from governmental or non-governmental organizations, private corporations, military, and foundations, including but not limited to senior executives overseeing administrative and operational functions of an organization, logistics and supply chain managers, program managers, directors of field operations, directors of emergency\/disaster preparedness and response, and public health professionals.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EProvide immediate impact to your organization through learnings gained from applied and real-world case studies.\u003C\/li\u003E\u003Cli\u003ELearn to bring NGOs, businesses, or government entities together to enhance collaboration, cooperation, and communication.\u003C\/li\u003E\u003Cli\u003EDiscover current trends and procedures to help organizations and team members get and stay ahead of the curve.\u003C\/li\u003E\u003Cli\u003EBuild a critical knowledge base to make tactical decisions around inventory, routing, and distribution.\u003C\/li\u003E\u003Cli\u003EDeliver best practices to measure and evaluate the efficiency, impact, and outcomes of focused initiatives or ongoing logistics and supply chain operations.\u003C\/li\u003E\u003Cli\u003ETransform the health and humanitarian sectors with increased capacity to participate in planning and strategic decision-making for effective supply-chain management.\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat Is Covered\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003ENetwork modeling approaches\u003C\/li\u003E\u003Cli\u003EForecasting techniques\u003C\/li\u003E\u003Cli\u003EStrategies for making decisions under uncertainty\u003C\/li\u003E\u003Cli\u003EOther data-driven analytical approaches\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EAbout the Course and the\u0026nbsp;HHSCM Course Series\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is the first in a 3-part virtually synchronous professional education program. Register and pay for all three required\u0026nbsp;\u003Ca href=\u0022https:\/\/pe.gatech.edu\/node\/54\u0022\u003EHealth and Humanitarian Supply Chain Management Certificate courses\u003C\/a\u003E\u0026nbsp;and receive a discount of $400 off per course. Enter coupon code\u0026nbsp;\u003Cstrong\u003ESCL-HHS\u003C\/strong\u003E\u0026nbsp;at checkout with the Georgia Tech Professional Education website..\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAdditionally, there are scholarships available for the certificate program. Apply at \u003Ca href=\u0022https:\/\/chhs.gatech.edu\/course-scholarships\u0022\u003Ehttps:\/\/chhs.gatech.edu\/course-scholarships\u003C\/a\u003E by the noted deadline.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EQuestions? 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Johnson Studio - ISyE Main, 1st Floor ","extras":[],"hg_media":{"677904":{"id":"677904","type":"image","title":"ISyE Picture Day","body":null,"created":"1756991454","gmt_created":"2025-09-04 13:10:54","changed":"1756991454","gmt_changed":"2025-09-04 13:10:54","alt":"ISyE Picture Day ","file":{"fid":"261858","name":"Fall-2025--2-.png","image_path":"\/sites\/default\/files\/2025\/09\/04\/Fall-2025--2-_0.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/09\/04\/Fall-2025--2-_0.png","mime":"image\/png","size":1743279,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/09\/04\/Fall-2025--2-_0.png?itok=-Pcc6fWm"}}},"media_ids":["677904"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"684400":{"#nid":"684400","#data":{"type":"event","title":"ISyE Picture Day - STAFF","body":[{"value":"\u003Cp\u003EDon\u0027t miss getting your updated headshot for the \u003Cstrong\u003E2025-2026 academic year! \u003C\/strong\u003EIf you cannot make it during this time, please \u003Ca href=\u0022https:\/\/outlook.office.com\/book\/ISyEComms@gtvault.onmicrosoft.com\/?ismsaljsauthenabled\u0022\u003Eclick here\u003C\/a\u003E to schedule an appointment with us in the future.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EAnnual ISyE Picture Day for the 2025-2026 academic year.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Annual day for staff to secure or refresh professional headshots"}],"uid":"36736","created_gmt":"2025-09-04 12:55:15","changed_gmt":"2025-09-04 13:08:21","author":"ebrown386","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-23T09:00:00-04:00","event_time_end":"2025-09-23T14:00:00-04:00","event_time_end_last":"2025-09-23T14:00:00-04:00","gmt_time_start":"2025-09-23 13:00:00","gmt_time_end":"2025-09-23 18:00:00","gmt_time_end_last":"2025-09-23 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Cecil G. Johnson Studio - ISyE Main, 1st Floor ","extras":[],"hg_media":{"677902":{"id":"677902","type":"image","title":"ISyE Picture Day","body":null,"created":"1756990639","gmt_created":"2025-09-04 12:57:19","changed":"1756990639","gmt_changed":"2025-09-04 12:57:19","alt":"ISyE Picture Day ","file":{"fid":"261856","name":"Fall-2025--2-.png","image_path":"\/sites\/default\/files\/2025\/09\/04\/Fall-2025--2-.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/09\/04\/Fall-2025--2-.png","mime":"image\/png","size":1743279,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/09\/04\/Fall-2025--2-.png?itok=6mD9m3Zc"}}},"media_ids":["677902"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"684391":{"#nid":"684391","#data":{"type":"event","title":"ISyE Statistic Seminar \u2013 Xiaotong Shen","body":[{"value":"\u003Ch3\u003ETitle:\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003EISyE Statistic Seminar \u2013 Xiaotong Shen\u003C\/p\u003E\u003Ch3\u003EAbstract:\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003ESynthetic data generation is reshaping data science by addressing challenges of scarcity, privacy, and imbalance. Recent advances in generative modeling enable the creation of high-fidelity datasets that capture complex distributions across modalities. These models not only expand data volume but also improve prediction accuracy, often outperforming conventional predictive methods, and can serve as a resampling tool for inference, much like the bootstrap. Moreover, they enhance multimodal analysis and provide targeted data augmentation for applied problems such as class imbalance.\u003C\/p\u003E\u003Cp\u003EThrough case studies in sentiment analysis, predictive modeling, and tabular inference, we demonstrate how generative models enrich supervised learning, strengthen statistical inference, and provide scalable solutions when raw data are limited or biased.\u003C\/p\u003E\u003Cp\u003EThis work is joint with Y. Liu, R. Shen, and X. Tian.\u003C\/p\u003E\u003Ch3\u003EBio:\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003EXiaotong T. Shen is the John Black Johnston Distinguished Professor in the College of Liberal Arts at the University of Minnesota. He earned his Ph.D. in Statistics from the University of Chicago in 1991.\u003C\/p\u003E\u003Cp\u003EProfessor Shen specializes in machine learning and data science, high-dimensional inference, non\/semi-parametric inference, causal relations, graphical models, explainable Machine Intelligence (MI), personalization, recommender systems, natural language processing, generative modeling, and nonconvex minimization. His current research efforts are devoted to further developing causal and constrained inference, generative inference and prediction for black-box learners, and diffusion, normalizing flows, and summarization. The targeted application areas are biomedical sciences, artificial intelligence, and engineering.\u003C\/p\u003E\u003Cp\u003EHe has served on the editorial boards of leading journals\u2014including JMLR, JASA, and the Annals of Statistics\u2014and remains deeply involved in professional service, currently as Chair-Elect of the ASA\u2019s Section on Statistical Learning and Data Science. His distinctions include election as a Fellow of the Institute of Mathematical Statistics, the American Statistical Association, and AAAS, along with honors such as the \u201cScholar of the College\u201d award and the ICSA Distinguished Achievement Award.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Ch3\u003EAbstract:\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003ESynthetic data generation is reshaping data science by addressing challenges of scarcity, privacy, and imbalance. Recent advances in generative modeling enable the creation of high-fidelity datasets that capture complex distributions across modalities. These models not only expand data volume but also improve prediction accuracy, often outperforming conventional predictive methods, and can serve as a resampling tool for inference, much like the bootstrap. Moreover, they enhance multimodal analysis and provide targeted data augmentation for applied problems such as class imbalance.\u003C\/p\u003E\u003Cp\u003EThrough case studies in sentiment analysis, predictive modeling, and tabular inference, we demonstrate how generative models enrich supervised learning, strengthen statistical inference, and provide scalable solutions when raw data are limited or biased.\u003C\/p\u003E\u003Cp\u003EThis work is joint with Y. Liu, R. Shen, and X. Tian.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Boosting Data Analytics with High-fidelity Synthetic Data"}],"uid":"36767","created_gmt":"2025-09-03 18:15:58","changed_gmt":"2025-09-03 18:18:08","author":"khua31","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-30T11:00:00-04:00","event_time_end":"2025-09-30T12:00:00-04:00","event_time_end_last":"2025-09-30T12:00:00-04:00","gmt_time_start":"2025-09-30 15:00:00","gmt_time_end":"2025-09-30 16:00:00","gmt_time_end_last":"2025-09-30 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"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":""}},"684365":{"#nid":"684365","#data":{"type":"event","title":"Winter Break: Campus Closed","body":[{"value":"\u003Cp\u003EThe Georgia Tech campus is closed for winter break.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe Georgia Tech campus is closed for winter break.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Campus Closed"}],"uid":"27469","created_gmt":"2025-09-03 15:03:34","changed_gmt":"2025-09-03 15:04:33","author":"Kristen Bailey","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-12-22T00:00:00-05:00","event_time_end":"2025-12-26T23:59:59-05:00","event_time_end_last":"2025-12-26T23:59:59-05:00","gmt_time_start":"2025-12-22 05:00:00","gmt_time_end":"2025-12-27 04:59:59","gmt_time_end_last":"2025-12-27 04:59:59","rrule":"FREQ=DAILY","timezone":"America\/New_York"},"location":"Georgia Tech Campus","extras":[],"related_links":[{"url":"https:\/\/registrar.gatech.edu\/calendar","title":"Academic Calendar - Office of the Registrar"}],"groups":[{"id":"253201","name":"Academic Calendar"},{"id":"253221","name":"Institute Holidays"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"683875":{"#nid":"683875","#data":{"type":"event","title":"SCL IRC Seminar: \u0022Data Driven: From Start-Up to Global Leader - A Founder\u0027s Perspective\u0022","body":[{"value":"\u003Cp\u003EThe \u003Ca href=\u0022https:\/\/www.scl.gatech.edu\u0022\u003ESupply Chain and Logistics Institute\u003C\/a\u003E (SCL) and \u003Ca href=\u0022https:\/\/www.scl.gatech.edu\/outreach\/SCLO\u0022\u003ESupply Chain and Logistics Organization\u003C\/a\u003E (SCLO) Student Group is co-hosting a special event seminar featuring \u003Cstrong\u003ENeil Cawse\u003C\/strong\u003E, CEO and founder of \u003Ca href=\u0022https:\/\/www.geotab.com\/\u0022\u003EGeotab\u003C\/a\u003E.\u003C\/p\u003E\u003Ch2\u003E\u003Cstrong\u003EData Driven: From Start-Up to Global Leader - A Founder\u0027s Perspective\u003C\/strong\u003E\u003C\/h2\u003E\u003Ch3\u003Efeaturing \u003Ca href=\u0022https:\/\/www.geotab.com\/blog\/author\/neil-cawse\/\u0022\u003ENeil Cawse\u003C\/a\u003E, CEO and founder of Geotab\u003C\/h3\u003E\u003Ch4\u003EWednesday, September 10, 2025\u003Cbr\u003E9:15-10:00am: Breakfast\/Networking (Centennial Room)\u003Cbr\u003E\u003Cstrong\u003E10:00-11:00am: Seminar\u003C\/strong\u003E (Home Park Room)\u003C\/h4\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Ch4\u003E\u003Cstrong\u003EVenue\/Location\u003C\/strong\u003E\u003C\/h4\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/studentcenter.gatech.edu\/exhibition-hall\u0022\u003EGeorgia Tech Exhibition Hall\u003C\/a\u003E (\u003Ca href=\u0022https:\/\/studentcenter.gatech.edu\/exhibition-hall-map\u0022\u003E2nd floor\u003C\/a\u003E)\u0026nbsp;\u003Cbr\u003E\u003Cstrong\u003ECentennial Room 9:15-10am \u003C\/strong\u003E\u003Cem\u003E\u003Cstrong\u003EBreakfast\/Networking\u003C\/strong\u003E\u003C\/em\u003E\u003Cbr\u003E\u003Cstrong\u003EHome Park Room 10-11am Main Seminar\u003C\/strong\u003E\u003Cbr\u003EGeorgia Institute of Technology\u003Cbr\u003E460 4th St NW, Atlanta, GA 30332\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Ch4\u003E\u003Cstrong\u003EABOUT THE SEMINAR\u003C\/strong\u003E\u003C\/h4\u003E\u003Cp\u003ENeil Cawse will share his insights on:\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EThe Entrepreneurial Mindset\u003C\/strong\u003E: The essential way of thinking to navigate uncertainty and turn problems into opportunities.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EBuilding a Data-Driven Business\u003C\/strong\u003E: How to use data as your compass to make smart decisions, from your first MVP to strategic scaling.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EHard-Won Lessons\u003C\/strong\u003E: The critical takeaways from mistakes and successes, and why a great team and a focus on the customer are non-negotiable.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ESkills for Today \u0026amp; Tomorrow\u003C\/strong\u003E: The key skills, from data literacy, risk taking and critical thinking, that you need to stay ahead in a constantly evolving landscape.\u003C\/li\u003E\u003C\/ul\u003E\u003Ch4\u003E\u003Cstrong\u003EABOUT THE SPEAKER (\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/digitalmag.theceomagazine.com\/neil-cawse\/?r=us\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003ECEO Magazine article\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E)\u003C\/strong\u003E\u003C\/h4\u003E\u003Cp\u003ENeil Cawse, CEO and founder of Geotab, stands at the forefront of connected vehicle technology, leading the industry in innovation and research. His leadership is marked by a commitment to developing cutting-edge technologies that empower businesses to make data-driven decisions. Under Neil\u2019s guidance, Geotab has transformed into a global leader, providing advanced data analytics and insights to businesses worldwide. Neil\u2019s entrepreneurial spirit and passion for technology have been the driving forces behind Geotab\u0027s mission to improve vehicle safety, operational efficiency, and sustainability. With a keen focus on AI, IoT and connected vehicles, he has steered the company through exponential growth, expanding its reach to millions of subscriptions in over 160 countries. Neil\u0027s vision is to create a more connected and sustainable world through the power of data and innovation.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EAdditional speakers include\u003C\/em\u003E: \u003Ca href=\u0022https:\/\/www.geotab.com\/blog\/author\/mike-branch\/\u0022\u003E\u003Cstrong\u003EMike Branch\u003C\/strong\u003E\u003C\/a\u003E (Geotab VP of Data \u0026amp; Analytics), \u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/john-ballantyne-76a16217\/\u0022\u003E\u003Cstrong\u003EJohn Ballantyne\u003C\/strong\u003E\u003C\/a\u003E (Geotab VP of Research and Innovation), \u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/samuel-harris-ga\/\u0022\u003E\u003Cstrong\u003ESamuel Harris\u003C\/strong\u003E\u003C\/a\u003E (GDOT Asst State Traffic Engineer), \u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/users\/benoit-montreuil\u0022\u003E\u003Cstrong\u003EBenoit Montreuil\u003C\/strong\u003E\u003C\/a\u003E (SCL Executive Director), \u003Ca href=\u0022https:\/\/ce.gatech.edu\/directory\/person\/yi-chang-james-tsai\u0022\u003E\u003Cstrong\u003EYichang (James) Tsai\u003C\/strong\u003E\u003C\/a\u003E (Prof, Civil and Environmental Engr), \u003Ca href=\u0022https:\/\/ce.gatech.edu\/directory\/person\/sofia-perez-guzman\u0022\u003E\u003Cstrong\u003ESofia Perez-Guzman\u003C\/strong\u003E\u003C\/a\u003E (Asst Prof, Civil and Environmental Engr), \u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/users\/chris-gaffney\u0022\u003E\u003Cstrong\u003EChris Gaffney\u003C\/strong\u003E\u003C\/a\u003E (SCL Managing Director)\u003C\/p\u003E\u003Ch4\u003E\u003Cstrong\u003EIncluded Panel Discussion | Telematics Data: Beyond Fleet Management\u003C\/strong\u003E\u003C\/h4\u003E\u003Cp\u003EThe panelists will review how Traditional AI has improved fleet operations in safety, maintenance, and efficiency. They will then examine how Generative and Agentic AI can automate aspects of fleet management. Finally, the discussion will shift to how transportation planners, operators, and policymakers can benefit from anonymized geotemporal data.\u003C\/p\u003E\u003Ch3\u003E\u003Ca href=\u0022https:\/\/eforms.scl.gatech.edu\/geotab-day\u0022\u003E\u003Cstrong\u003ERegister Online for our Special Event Seminar\u003C\/strong\u003E\u003C\/a\u003E\u003C\/h3\u003E\u003Cp\u003E\u003Cbr\u003EFor questions, please email \u003Ca href=\u0022mailto:event@scl.gatech.edu\u0022\u003Eevent@scl.gatech.edu\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe \u003Ca href=\u0022https:\/\/www.scl.gatech.edu\u0022\u003ESupply Chain and Logistics Institute\u003C\/a\u003E (SCL) and \u003Ca href=\u0022https:\/\/www.scl.gatech.edu\/outreach\/SCLO\u0022\u003ESupply Chain and Logistics Organization\u003C\/a\u003E (SCLO) Student Group is co-hosting a special event seminar featuring \u003Cstrong\u003ENeil Cawse\u003C\/strong\u003E, CEO and founder of \u003Ca href=\u0022https:\/\/www.geotab.com\/\u0022\u003EGeotab\u003C\/a\u003E.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Join the Supply Chain and Logistics Institute for a special event seminar featuring Neil Cawse, CEO and founder of Geotab."}],"uid":"27233","created_gmt":"2025-08-15 19:47:00","changed_gmt":"2025-09-03 13:48:47","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-10T09:15:00-04:00","event_time_end":"2025-09-10T11:00:00-04:00","event_time_end_last":"2025-09-10T11:00:00-04:00","gmt_time_start":"2025-09-10 13:15:00","gmt_time_end":"2025-09-10 15:00:00","gmt_time_end_last":"2025-09-10 15:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Georgia Tech Exhibition Hall (2nd floor) - Centennial Room (Breakfast) \u0026 Home Park Room (Home Park)","extras":["free_food"],"hg_media":{"677764":{"id":"677764","type":"image","title":"SCL IRC Seminar: \u0022Data Driven: From Start-Up to Global Leader - A Founder\u0027s Perspective\u0022 with Neil Cawse, CEO and founder of Geotab","body":null,"created":"1755796957","gmt_created":"2025-08-21 17:22:37","changed":"1755796957","gmt_changed":"2025-08-21 17:22:37","alt":"SCL IRC Seminar: \u0022Data Driven: From Start-Up to Global Leader - A Founder\u0027s Perspective\u0022 with Neil Cawse, CEO and founder of Geotab","file":{"fid":"261700","name":"GT-SCLIRC_Seminar_GeotabDay.jpg","image_path":"\/sites\/default\/files\/2025\/08\/21\/GT-SCLIRC_Seminar_GeotabDay.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/08\/21\/GT-SCLIRC_Seminar_GeotabDay.jpg","mime":"image\/jpeg","size":578184,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/08\/21\/GT-SCLIRC_Seminar_GeotabDay.jpg?itok=9JcpFpf-"}}},"media_ids":["677764"],"related_links":[{"url":"https:\/\/eforms.scl.gatech.edu\/geotab-day","title":"Register Online for our Special Event SCL IRC seminar"},{"url":"https:\/\/www.scl.gatech.edu\/sites\/default\/files\/downloads\/sclirc\/GT-SCLIRC_Seminar_GeotabDay_20250910.pdf","title":"Download the Event Flyer"}],"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":"167074","name":"Supply Chain"},{"id":"233","name":"Logistics"},{"id":"122741","name":"physical internet"},{"id":"186857","name":"go-gtmi"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"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\u003Eevent@scl.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"684199":{"#nid":"684199","#data":{"type":"event","title":"ISyE Seminar - Wei Biao Wu","body":[{"value":"\u003Cdiv\u003ETitle: Concentration Bounds for Statistical Learning for Time Dependent Data\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cp\u003ESummary:\u003C\/p\u003E\u003Cp\u003EClassical statistical learning theory primarily concerns independent data. In comparison, it has been much less investigated for time dependent data, which are commonly encountered in economics, engineering, finance, geography, physics and other fields. In this\u0026nbsp;talk, we focus on concentration inequalities for suprema of empirical processes which plays a fundamental role in the statistical learning theory. We derive a Gaussian approximation and an upper bound for the tail probability of the suprema under conditions on the size of the function class, the sample size, temporal dependence and the moment conditions of the underlying time series. Due to the dependence and heavy-tailness, our tail probability bound is substantially different from those classical exponential bounds obtained under the independence assumption in that it involves an extra polynomial decaying term. We allow both short- and long-range dependent processes, where the long-range dependence case has never been previously explored. We showed our tail probability inequality is sharp up to a multiplicative constant. These bounds work as theoretical guarantees for statistical learning applications under dependence.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EBio:\u003C\/p\u003E\u003Cp\u003EWei Biao Wu earned his Ph.D. in Statistics from the University of Michigan, Ann Arbor, in 2001. He is a Professor in the Department of Statistics at The University of Chicago, Chicago, IL. His research focuses on developing large-sample theory for time-dependent data, introducing the innovative functional dependence measure to establish a robust theoretical framework for asymptotic analysis. He has also designed efficient online algorithms for computing time-series statistics. His research interests span probability theory, statistics, and econometrics.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EClassical statistical learning theory primarily concerns independent data. In comparison, it has been much less investigated for time dependent data, which are commonly encountered in economics, engineering, finance, geography, physics and other fields. In this\u0026nbsp;talk, we focus on concentration inequalities for suprema of empirical processes which plays a fundamental role in the statistical learning theory. We derive a Gaussian approximation and an upper bound for the tail probability of the suprema under conditions on the size of the function class, the sample size, temporal dependence and the moment conditions of the underlying time series. Due to the dependence and heavy-tailness, our tail probability bound is substantially different from those classical exponential bounds obtained under the independence assumption in that it involves an extra polynomial decaying term. We allow both short- and long-range dependent processes, where the long-range dependence case has never been previously explored. We showed our tail probability inequality is sharp up to a multiplicative constant. These bounds work as theoretical guarantees for statistical learning applications under dependence.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Concentration Bounds for Statistical Learning for Time Dependent Data"}],"uid":"36527","created_gmt":"2025-08-26 19:34:07","changed_gmt":"2025-08-26 19:38:10","author":"hulrich6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-10-03T11:00:00-04:00","event_time_end":"2025-10-03T12:00:00-04:00","event_time_end_last":"2025-10-03T12:00:00-04:00","gmt_time_start":"2025-10-03 15:00:00","gmt_time_end":"2025-10-03 16:00:00","gmt_time_end_last":"2025-10-03 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"684176":{"#nid":"684176","#data":{"type":"event","title":"ISyE Seminar - Stefan Wild","body":[{"value":"\u003Cdiv\u003ETitle: Improving the Practical Scalability and Robustness of Zeroth-Order Optimization Solvers\u003Cbr\u003E\u003Cbr\u003EAbstract:\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003EZeroth-order optimization solvers are often deployed in settings where little information regarding a problem\u0027s conditioning or noise level is known. Effective solvers must handle complex applications -- from automated materials discovery to quantum circuit compilation -- each presenting unique challenges. These problem features often limit the scale of the problems on which zeroth-order algorithms can be effectively deployed. We overcome this limitation through novel algorithms based on randomized subspace techniques. We also report on our experience developing adaptive algorithms, which leverage information learned online to adapt critical algorithmic features. We illustrate our approaches in trust-region-based reduced-space methods and show how trained policies can even be deployed effectively in nonstationary cases, where the noise seen changes over the decision space.\u003Cbr\u003E\u003Cbr\u003E\u003Cbr\u003EBio:\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003EStefan M. Wild is a Senior Scientist and Director of the Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory, a research lab primarily funded by the U.S. Department of Energy\u2019s Office of Science. Wild is also adjunct faculty in Industrial Engineering and Management Sciences at Northwestern University. Wild received his Ph.D. in Operations Research and Information Engineering from Cornell University. Wild is a SIAM Fellow and his research has been recognized by the INFORMS Optimization Society\u0027s \u0026nbsp;Egon Balas Prize and the U.S. Presidential Early Career Award for Scientists and Engineers. Wild is Section Editor for SIAM Review and Associate Editor for Data Science in Science, INFORMS Journal on Computing, Journal of Optimization Theory and Applications, and Mathematical Programming Computation. Wild\u2019s primary research focuses on developing model-based algorithms and software for challenging numerical optimization problems and automated learning under uncertainty, with the goal of accelerating and advancing scientific discoveries.\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EZeroth-order optimization solvers are often deployed in settings where little information regarding a problem\u0027s conditioning or noise level is known. Effective solvers must handle complex applications -- from automated materials discovery to quantum circuit compilation -- each presenting unique challenges. These problem features often limit the scale of the problems on which zeroth-order algorithms can be effectively deployed. We overcome this limitation through novel algorithms based on randomized subspace techniques. We also report on our experience developing adaptive algorithms, which leverage information learned online to adapt critical algorithmic features. We illustrate our approaches in trust-region-based reduced-space methods and show how trained policies can even be deployed effectively in nonstationary cases, where the noise seen changes over the decision space.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Improving the Practical Scalability and Robustness of Zeroth-Order Optimization Solvers"}],"uid":"36527","created_gmt":"2025-08-26 18:05:10","changed_gmt":"2025-08-26 18:11:39","author":"hulrich6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-12T11:00:00-04:00","event_time_end":"2025-09-12T12:00:00-04:00","event_time_end_last":"2025-09-12T12:00:00-04:00","gmt_time_start":"2025-09-12 15:00:00","gmt_time_end":"2025-09-12 16:00:00","gmt_time_end_last":"2025-09-12 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"683995":{"#nid":"683995","#data":{"type":"event","title":"ISyE Statistic Seminar - Dennis K.J. Lin","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EAI, BI \u0026amp; SI\u2014Artificial, Biological and Statistical Intelligences\u003C\/p\u003E\u003Ch3\u003EAbstract:\u003C\/h3\u003E\u003Cp\u003EArtificial Intelligence (AI) is clearly one of the hottest subjects these days. Basically, AI employs a huge number of inputs (training data), super-efficient computer power\/memory, and smart algorithms to perform its intelligence. In contrast, Biological Intelligence (BI) is a natural intelligence that requires very little or even no input. This talk will first discuss the fundamental issue of input (training data) for AI. After all, not-so-informative inputs (even if they are huge) will result in a not-so-intelligent AI. Specifically, three issues will be discussed: (1) input bias, (2) data right vs. right data, and (3) sample vs. population. Finally, the importance of Statistical Intelligence (SI) will be introduced. SI is somehow in between AI and BI. It employs important sample data, solid theoretically proven statistical inference\/models, and natural intelligence. In my view, AI will become more and more powerful in many senses, but it will never replace BI. After all, it is said that \u201cThe truth is stranger than fiction, because fiction must make sense.\u201d The ultimate goal of this study is to find out \u201chow can humans use AI, BI, and SI together to do things better.\u201d\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EDr. Dennis K. J. Lin is a Distinguished Professor of Statistics at Purdue University. He served as the Department Head during 2020-2022. Prior to this current job, he was a University Distinguished Professor of Supply Chain Management and Statistics at Penn State, where he worked for 25 years. His research interests are data quality, industrial statistics, statistical inference, and data science. He has published nearly 300 SCI\/SSCI papers in a wide variety of journals. He currently serves or has served as an associate editor for more than 10 professional journals and was a co-editor for Applied Stochastic Models for Business and Industry. Dr. Lin is an elected fellow of ASA, IMS, ASQ, \u0026amp; RSS, an elected member of ISI, and a lifetime member of ICSA. He is an honorary chair professor for various universities, including Fudan University, and National Taiwan Normal University and a Chang-Jiang Scholar at Renmin University of China,. His recent awards include, the Youden Address (ASQ, 2010), the Shewell Award (ASQ, 2010), the Don Owen Award (ASA, 2011), the Loutit Address (SSC, 2011), the Hunter Award (ASQ, 2014), the Shewhart Medal (ASQ, 2015), and the SPES Award (ASA, 2016). He was the Deming Lecturer Award at 2020 JSM. His most recent award is \u201cThe 2022 Distinguished Alumni Award\u201d (National Tsing Hua University, Taiwan).\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Ch3\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EArtificial Intelligence (AI) is clearly one of the hottest subjects these days. Basically, AI employs a huge number of inputs (training data), super-efficient computer power\/memory, and smart algorithms to perform its intelligence. In contrast, Biological Intelligence (BI) is a natural intelligence that requires very little or even no input. This talk will first discuss the fundamental issue of input (training data) for AI. After all, not-so-informative inputs (even if they are huge) will result in a not-so-intelligent AI. Specifically, three issues will be discussed: (1) input bias, (2) data right vs. right data, and (3) sample vs. population. Finally, the importance of Statistical Intelligence (SI) will be introduced. SI is somehow in between AI and BI. It employs important sample data, solid theoretically proven statistical inference\/models, and natural intelligence. In my view, AI will become more and more powerful in many senses, but it will never replace BI. After all, it is said that \u201cThe truth is stranger than fiction, because fiction must make sense.\u201d The ultimate goal of this study is to find out \u201chow can humans use AI, BI, and SI together to do things better.\u201d\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"AI, BI \u0026 SI\u2014Artificial, Biological and Statistical Intelligences"}],"uid":"34977","created_gmt":"2025-08-20 16:52:30","changed_gmt":"2025-08-20 16:57:31","author":"Julie Smith","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-23T11:00:00-04:00","event_time_end":"2025-09-23T12:00:00-04:00","event_time_end_last":"2025-09-23T12:00:00-04:00","gmt_time_start":"2025-09-23 15:00:00","gmt_time_end":"2025-09-23 16:00:00","gmt_time_end_last":"2025-09-23 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"ISyE Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"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":""}},"682231":{"#nid":"682231","#data":{"type":"event","title":"Fall 2025: Payment Deadline","body":[{"value":"\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003EPayment deadline 4:00 PM Eastern Time.\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003EPayment deadline 4:00 PM Eastern Time.\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Payment deadline 4:00 PM Eastern Time."}],"uid":"36418","created_gmt":"2025-05-05 17:06:40","changed_gmt":"2025-08-20 15:05:09","author":"sgagliano3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-08-25T16:00:00-04:00","event_time_end":"2025-08-25T16:00:00-04:00","event_time_end_last":"2025-08-25T16:00:00-04:00","gmt_time_start":"2025-08-25 20:00:00","gmt_time_end":"2025-08-25 20:00:00","gmt_time_end_last":"2025-08-25 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Georgia Tech Campus","extras":[],"related_links":[{"url":"https:\/\/registrar.gatech.edu\/current-academic-calendar","title":"Academic Calendar"}],"groups":[{"id":"253201","name":"Academic Calendar"},{"id":"1182","name":"General"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"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:comments@registrar.gatech.edu\u0022\u003Ecomments@registrar.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"680231":{"#nid":"680231","#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":"36698","created_gmt":"2025-02-05 19:48:05","changed_gmt":"2025-08-20 14:38:48","author":"dramirez65","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-15T13:00:00-04:00","event_time_end":"2025-09-18T17:00:00-04:00","event_time_end_last":"2025-09-18T17:00:00-04:00","gmt_time_start":"2025-09-15 17:00:00","gmt_time_end":"2025-09-18 21:00:00","gmt_time_end_last":"2025-09-18 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":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"170001","name":"Supply Chain Engineering"},{"id":"194222","name":"Supply chain "},{"id":"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":""}},"683936":{"#nid":"683936","#data":{"type":"event","title":"Fall 2025 IISE Career Fair ","body":[{"value":"\u003Ch3 dir=\u0022ltr\u0022\u003E\u003Cstrong\u003EAbout\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EEvery fall and spring semester, during the IISE Career Fair, companies across the nation come to Georgia Tech to recruit some of the nation\u2019s top talent from our Bachelor\u2019s and Master\u2019s programs. Our students are recruited for a variety of roles and perform well past expectations in all positions. We hope that you will join us this semester and meet some of the country\u2019s brightest students.\u003C\/p\u003E\u003Cp\u003EThis fall semester, we will be hosting an in-person career fair on \u003Cstrong\u003ETuesday, September 2nd, 2025\u003C\/strong\u003E, at Georgia Tech\u2019s Exhibition Hall. We highly encourage all companies to register early for the Fall 2025 Career Fair. The first 5 companies to register and pay will have the exclusive opportunity to reserve a dedicated room for additional networking after the event. This private networking session can be tailored to your preferences, giving your company a unique chance to connect with top talent in a more intimate setting. Don\u0027t miss out on this valuable opportunity to enhance your recruitment experience!\u003C\/p\u003E\u003Ch3 dir=\u0022ltr\u0022\u003E\u003Cstrong\u003ECompany Recruiters\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp dir=\u0022ltr\u0022\u003EJoin us at one of the largest Industrial \u0026amp; Systems Engineering career fairs in the nation. Registration closes\u0026nbsp;\u003Cstrong\u003EAugust 27th\u003C\/strong\u003E, so secure your table today!:\u003C\/p\u003E\u003Ch3 dir=\u0022ltr\u0022\u003E\u003Cstrong\u003EStudents\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp dir=\u0022ltr\u0022\u003ELooking for internships or full-time roles? This is your chance to meet leading employers and explore exciting career opportunities in Industrial \u0026amp; Systems Engineering. For more information and to submit your resume, visit\u0026nbsp;\u003Ca href=\u0022https:\/\/www.gtiise.org\/career-fair-info\u0022\u003Ehttps:\/\/www.gtiise.org\/career-fair-info\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp dir=\u0022ltr\u0022\u003EJoin us at one of the largest Industrial \u0026amp; Systems Engineering career fairs in the nation. Registration closes\u0026nbsp;Wednesday, \u003Cstrong\u003EAugust 27\u003C\/strong\u003E so secure your table today!:\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Recruit from the #1-Ranked Industrial Engineering Program in the Nation"}],"uid":"36736","created_gmt":"2025-08-19 13:39:07","changed_gmt":"2025-08-19 14:03:42","author":"ebrown386","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-02T09:00:00-04:00","event_time_end":"2025-09-02T15:30:00-04:00","event_time_end_last":"2025-09-02T15:30:00-04:00","gmt_time_start":"2025-09-02 13:00:00","gmt_time_end":"2025-09-02 19:30:00","gmt_time_end_last":"2025-09-02 19:30:00","rrule":null,"timezone":"America\/New_York"},"location":"GT Exhibition Hall","extras":[],"hg_media":{"677733":{"id":"677733","type":"image","title":"Screenshot-2025-08-19-at-10.01.53-AM.png","body":null,"created":"1755612122","gmt_created":"2025-08-19 14:02:02","changed":"1755612122","gmt_changed":"2025-08-19 14:02:02","alt":"Fall 2025 IISE Career Fair","file":{"fid":"261666","name":"Screenshot-2025-08-19-at-10.01.53-AM.png","image_path":"\/sites\/default\/files\/2025\/08\/19\/Screenshot-2025-08-19-at-10.01.53-AM.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/08\/19\/Screenshot-2025-08-19-at-10.01.53-AM.png","mime":"image\/png","size":316209,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/08\/19\/Screenshot-2025-08-19-at-10.01.53-AM.png?itok=726L7wAH"}}},"media_ids":["677733"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"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\u003Cstrong\u003Eiise@gatech.edu\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"683935":{"#nid":"683935","#data":{"type":"event","title":"ISyE Seminar - Elsayed A. Elsayed","body":[{"value":"\u003Cp\u003ETitle: Stochastic Modeling of Unified Resilience Metrics\u003C\/p\u003E\u003Cp\u003EAbstract:\u003C\/p\u003E\u003Cp\u003EThere has been significant developments of large and complex engineered infrastructure systems such as telecommunication networks, power grids, transportation infrastructure, healthcare delivery systems, information technology, financial systems and supply chain systems. Failures of such systems may result in cascading damages as well as significant interruptions of their services. This presentation focuses on the development of unified resilience metrics based on analytical and AI-enabled stochastic models to evaluate and predict the resilience and availability of complex systems subject to various types of failures, repairs and recovery processes.\u003C\/p\u003E\u003Cp\u003EBio:\u003C\/p\u003E\u003Cp\u003EE. A. Elsayed is Distinguished Professor of the Department of Industrial and Systems Engineering, Rutgers University. He is also the Director of the NSF\/ Industry\/ University Co-operative Research Center for Quality and Reliability Engineering. He was the Chair of ISE, Rutgers University from 1983 to 2001. His research interests are in the areas of quality and reliability engineering and Production Planning and Control. He is a co-author of Quality Engineering in Production Systems, McGraw Hill Book Company, 1989. He is also the author of Reliability Engineering, Addison-Wesley, 1996. These two books received the 1990 and 1997 IIE Joint Publishers Book-of-the-Year Award respectively. His recent book Reliability Engineering 2nd Edition, Wiley, 2021 received the 2012 Outstanding Publications of IIE. The third edition of this book by Wiley in 2021 was selected to be included in the Best Industrial Management eBooks of All Time. Dr. Elsayed has received many awards and honors and was the keynote speaker of many international conferences. Dr. Elsayed was awarded the Doctor Honoris Causes from University of Agers, France in January 2018 for his achievements in the reliability engineering field. In November 2023, he received \u201cFaculty of the Year\u201d award, Rutgers University.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThere has been significant developments of large and complex engineered infrastructure systems such as telecommunication networks, power grids, transportation infrastructure, healthcare delivery systems, information technology, financial systems and supply chain systems. Failures of such systems may result in cascading damages as well as significant interruptions of their services. This presentation focuses on the development of unified resilience metrics based on analytical and AI-enabled stochastic models to evaluate and predict the resilience and availability of complex systems subject to various types of failures, repairs and recovery processes.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Stochastic Modeling of Unified Resilience Metrics"}],"uid":"36527","created_gmt":"2025-08-19 12:43:22","changed_gmt":"2025-08-19 12:56:16","author":"hulrich6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-26T11:00:00-04:00","event_time_end":"2025-09-26T12:00:00-04:00","event_time_end_last":"2025-09-26T12:00:00-04:00","gmt_time_start":"2025-09-26 15:00:00","gmt_time_end":"2025-09-26 16:00:00","gmt_time_end_last":"2025-09-26 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"683121":{"#nid":"683121","#data":{"type":"event","title":"Technology Consulting Group Club Tech Info Session","body":[{"value":"\u003Cp\u003ECome learn what the Technology Consulting Group (TCG) is all about. We\u2019re a new student organization at Georgia Tech that connects students with startups and tech companies to solve real-world problems through semester-long consulting projects.\u003C\/p\u003E\u003Cp\u003EWe\u2019ll have a short panel with students and industry guests sharing their experiences, plus info on what kinds of projects you can work on and how to join.\u003C\/p\u003E\u003Cp\u003EIf you\u2019re interested in tech, startups, or getting practical experience outside the classroom, come check it out. Open to all majors.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ECome learn what the Technology Consulting Group (TCG) is all about.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Come learn what the Technology Consulting Group (TCG) is all about. "}],"uid":"36418","created_gmt":"2025-07-14 16:50:11","changed_gmt":"2025-08-15 18:35:36","author":"sgagliano3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-03T18:30:00-04:00","event_time_end":"2025-09-03T19:30:00-04:00","event_time_end_last":"2025-09-03T19:30:00-04:00","gmt_time_start":"2025-09-03 22:30:00","gmt_time_end":"2025-09-03 23:30:00","gmt_time_end_last":"2025-09-03 23:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Room 309, East Architecture Building","extras":[],"groups":[{"id":"253201","name":"Academic Calendar"},{"id":"1182","name":"General"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:ncelis3@gatech.edu\u0022\u003E\u003Cstrong\u003ENatalia Celis\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"683845":{"#nid":"683845","#data":{"type":"event","title":"SCL Lunch and Learn: \u0022The Future is Integrated: IBP Insights from Georgia Tech\u0022","body":[{"value":"\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EExplore how integrated project and supply chain strategies can transform disruption into opportunity and drive lasting results in today\u2019s dynamic business environment\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EThursday, August 7, 2025 | 12-1pm ET\u003C\/strong\u003E\u003C\/p\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003EAn educational webinar where we explore strategies for unlocking business potential through integrated alignment of operations, supply chain, and finance. In this expert-led session, faculty from the Scheller College of Business and Stewart School of Industrial and Systems Engineering guide you through the fundamentals of Integrated Business Planning (IBP), demonstrate its power to transform enterprise performance, and share practical insights for leading organizational change.\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/gatech.zoom.us\/webinar\/register\/5017513078690\/WN_WKiW9_DmQ36mhPqBpTiOxg\u0022\u003E\u003Cstrong\u003ERegister Online to Attend\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJoin the Georgia Tech Supply Chain and Logistics Institute to explore strategies for unlocking business potential through integrated alignment of operations, supply chain, and finance. In this expert-led session, faculty from the Scheller College of Business and Stewart School of Industrial and Systems Engineering guide you through the fundamentals of Integrated Business Planning (IBP), demonstrate its power to transform enterprise performance, and share practical insights for leading organizational change.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Discover strategies for unlocking business potential through integrated alignment of operations, supply chain, and finance."}],"uid":"27233","created_gmt":"2025-08-15 15:20:03","changed_gmt":"2025-08-15 15:28:32","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-08-07T12:00:00-04:00","event_time_end":"2025-08-07T13:00:00-04:00","event_time_end_last":"2025-08-07T13:00:00-04:00","gmt_time_start":"2025-08-07 16:00:00","gmt_time_end":"2025-08-07 17:00:00","gmt_time_end_last":"2025-08-07 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Online via Zoom","extras":[],"hg_media":{"677314":{"id":"677314","type":"image","title":"SCL Lunch and Learn: \u201cThe Future is Integrated: IBP Insights from Georgia Tech\u0022","body":null,"created":"1751323784","gmt_created":"2025-06-30 22:49:44","changed":"1751323784","gmt_changed":"2025-06-30 22:49:44","alt":"SCL Lunch and Learn: \u201cThe Future is Integrated: IBP Insights from Georgia Tech\u0022","file":{"fid":"261200","name":"hg_LNL_IBP_20250807.png","image_path":"\/sites\/default\/files\/2025\/06\/30\/hg_LNL_IBP_20250807.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/06\/30\/hg_LNL_IBP_20250807.png","mime":"image\/png","size":163165,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/06\/30\/hg_LNL_IBP_20250807.png?itok=fKz3Ofyv"}}},"media_ids":["677314"],"related_links":[{"url":"https:\/\/gatech.zoom.us\/webinar\/register\/5017513078690\/WN_WKiW9_DmQ36mhPqBpTiOxg","title":"Register Online to Attend the Webinar"},{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education","title":"Professional Education at the Georgia Tech Supply Chain and Logistics Institute"}],"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":"3615","name":"information session"},{"id":"186857","name":"go-gtmi"},{"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\u003Ecourse@scl.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"682960":{"#nid":"682960","#data":{"type":"event","title":"SCL Lunch and Learn: \u0022From Chaos to Clarity: Building Resilient Supply Chains Through Smarter Project Management\u0022","body":[{"value":"\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EExplore how integrated project and supply chain strategies can transform disruption into opportunity and drive lasting results in today\u2019s dynamic business environment\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EThursday, October 2, 2025 | 12-1pm ET\u003C\/strong\u003E\u003C\/p\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003EIn today\u2019s volatile business landscape, resilience isn\u2019t just a buzzword, it\u2019s a competitive necessity. Join the Georgia Tech Supply Chain and Logistics Institute to explore how project management strategies can turn unpredictable supply chain environments into opportunities for stability and growth. Whether you\u0027re leading cross-functional initiatives, managing vendor transitions, or navigating disruption, you\u2019ll learn why traditional approaches fall short and how integrated project and supply chain thinking can help you deliver lasting results. Perfect for project managers, supply chain professionals, and anyone tasked with delivering complex initiatives in dynamic settings.\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/gatech.zoom.us\/webinar\/register\/6417550005346\/WN_lpcTMj-NSX6XRrnTPyMUlw\u0022\u003E\u003Cstrong\u003ERegister Online to Attend\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJoin the Georgia Tech Supply Chain and Logistics Institute to explore how project management strategies can turn unpredictable supply chain environments into opportunities for stability and growth.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Learn how project management strategies can turn unpredictable supply chain environments into opportunities for stability and growth. "}],"uid":"27233","created_gmt":"2025-06-30 22:47:15","changed_gmt":"2025-08-15 15:22:42","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-10-02T12:00:00-04:00","event_time_end":"2025-10-02T13:00:00-04:00","event_time_end_last":"2025-10-02T13:00:00-04:00","gmt_time_start":"2025-10-02 16:00:00","gmt_time_end":"2025-10-02 17:00:00","gmt_time_end_last":"2025-10-02 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Online via Zoom","extras":[],"hg_media":{"677652":{"id":"677652","type":"image","title":"hg_LNL_SCPMgmt_20251002.png","body":null,"created":"1755001258","gmt_created":"2025-08-12 12:20:58","changed":"1755005189","gmt_changed":"2025-08-12 13:26:29","alt":"From Chaos to Clarity | Building Resilient Supply Chains Through Smarter Project Management","file":{"fid":"261574","name":"hg_LNL_SCPMgmt_20251002.png","image_path":"\/sites\/default\/files\/2025\/08\/12\/hg_LNL_SCPMgmt_20251002.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/08\/12\/hg_LNL_SCPMgmt_20251002.png","mime":"image\/png","size":117580,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/08\/12\/hg_LNL_SCPMgmt_20251002.png?itok=EoRf4bVv"}}},"media_ids":["677652"],"related_links":[{"url":"https:\/\/gatech.zoom.us\/webinar\/register\/6417550005346\/WN_lpcTMj-NSX6XRrnTPyMUlw","title":"Register Online to Attend the Webinar"},{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education","title":"Professional Education at the Georgia Tech Supply Chain and Logistics Institute"}],"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":"3615","name":"information session"},{"id":"186857","name":"go-gtmi"},{"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\u003Ecourse@scl.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"683763":{"#nid":"683763","#data":{"type":"event","title":"ISyE Seminar - Krishnakumar Balasubramanian","body":[{"value":"\u003Cp\u003ETitle: Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds\u003C\/p\u003E\u003Cp\u003EAbstract:\u200b\u003C\/p\u003E\u003Cp\u003ESampling from densities \u200bdefined on Riemannian manifolds is central to Bayesian inference, generative modeling, and differential privacy. We introduce the Riemannian Proximal Sampler (RPS), whose efficiency hinges on two oracles: Manifold Brownian Increments and the Riemannian Heat Kernel. We establish high-accuracy sampling guarantees for the Riemannian Proximal Sampler, showing that generating samples with \u03b5-accuracy requires O(log(1\/\u03b5)) iterations in Kullback-Leibler divergence assuming access to exact oracles and O(log\u200b^2(1\/\u03b5)) iterations in the total variation metric assuming access to sufficiently accurate inexact oracles. Furthermore, we present two practical implementations of these oracles by leveraging heat-kernel truncation and Varadhan\u0027s asymptotics, respectively. In the latter case, we interpret the Riemannian Proximal Sampler as a discretization of the entropy-regularized Riemannian Proximal Point Method on the associated Wasserstein space. We will discuss numerical results that illustrate the effectiveness of the proposed methodology.\u003C\/p\u003E\u003Cp\u003E\u200bBio:\u003C\/p\u003E\u003Cp\u003EKrishnakumar Balasubramanian is an Associate Professor in the Department of Statistics at the University of California, Davis, affiliated with the Graduate Group in Applied Mathematics, the Center for Data Science and Artificial Intelligence Research (CeDAR), and the TETRAPODS Institute of Data Science. He is also an Amazon Scholar and was a visiting scientist at the Simons Institute for the Theory of Computing at UC Berkeley in Fall 2021 and Fall 2022. Krishna received his Ph.D. in Computer Science from the Georgia Institute of Technology and completed postdoctoral research at Princeton University and the University of Wisconsin\u2013Madison. His research lies at the interface of machine learning and artificial intelligence, statistics and optimization. He is a recipient of several honors, including a Facebook Fellowship (2013), the ICML Best Paper Runner-Up Award (2013), and the INFORMS ICS Prize (2024). He contributes actively to the academic community as an Associate Editor for the Annals of Statistics, IEEE Transactions on Information Theory and the Journal of Machine Learning Research, and serves regularly as a (senior) area chair for leading conferences such as ICML, ICLR, NeurIPS, and COLT.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ESampling from densities \u200bdefined on Riemannian manifolds is central to Bayesian inference, generative modeling, and differential privacy. We introduce the Riemannian Proximal Sampler (RPS), whose efficiency hinges on two oracles: Manifold Brownian Increments and the Riemannian Heat Kernel. We establish high-accuracy sampling guarantees for the Riemannian Proximal Sampler, showing that generating samples with \u03b5-accuracy requires O(log(1\/\u03b5)) iterations in Kullback-Leibler divergence assuming access to exact oracles and O(log\u200b^2(1\/\u03b5)) iterations in the total variation metric assuming access to sufficiently accurate inexact oracles. Furthermore, we present two practical implementations of these oracles by leveraging heat-kernel truncation and Varadhan\u0027s asymptotics, respectively. In the latter case, we interpret the Riemannian Proximal Sampler as a discretization of the entropy-regularized Riemannian Proximal Point Method on the associated Wasserstein space. We will discuss numerical results that illustrate the effectiveness of the proposed methodology.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":" Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds"}],"uid":"36527","created_gmt":"2025-08-12 20:20:21","changed_gmt":"2025-08-15 12:39:36","author":"hulrich6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-05T11:00:00-04:00","event_time_end":"2025-09-05T12:00:00-04:00","event_time_end_last":"2025-09-05T12:00:00-04:00","gmt_time_start":"2025-09-05 15:00:00","gmt_time_end":"2025-09-05 16:00:00","gmt_time_end_last":"2025-09-05 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"683755":{"#nid":"683755","#data":{"type":"event","title":"ISyE Seminar - Yuehwern Yih","body":[{"value":"\u003Cp\u003ETitle: Bridging the Cyber\u2013Physical Gaps in Health and Humanitarian Assistance\u003C\/p\u003E\u003Cp\u003EAbstract:\u003C\/p\u003E\u003Cp\u003ETechnological advances in digital platforms, automation, and sensor systems are rapidly expanding capabilities in healthcare delivery and humanitarian assistance. However, in complex operating environments, the integration of these technologies often reveals a critical gap between cyber systems and the physical realities of human action, environmental variability, and contextual constraints. This misalignment can undermine decision quality and service reliability, and in some cases, lead to unintended or suboptimal outcomes.\u003C\/p\u003E\u003Cp\u003EThis talk examines these challenges in last-mile delivery for healthcare and humanitarian assistance, where decision-making is shaped by the dynamic interplay of human judgment, technological capabilities, and on-the-ground realities. Drawing on case studies, it will discuss how discrepancies between data collected for one operational purpose and its subsequent use for modeling or strategic decision-making can propagate through the system\u2014amplifying risks and degrading performance. Emphasis will be placed on the importance of context-aware design, stakeholder engagement, and research translation to deliver high-quality, sustainable solutions.\u003C\/p\u003E\u003Cp\u003EBio:\u003C\/p\u003E\u003Cp\u003EDr. Yuehwern Yih is the Tompkins Professor of Industrial Engineering at Purdue University. She previously served as the Director of LASER PULSE ($70 million USAID funded program) and the Associate Director of Regenstrief Center for Healthcare Engineering. She is a Member of the National Academy of Engineering (NAE) a Senior Member of the National Academy of Inventors (NAI), an Institute of Industrial and Systems Engineers (IISE) Fellow, and an Executive Leadership in Academic Technology, Engineering and Science (ELATE) Fellow.\u003C\/p\u003E\u003Cp\u003EDr. Yih\u2019s core research focuses on understanding dynamics of system behaviors to improve the performance of complex systems under volatile environments including manufacturing systems, supply chains, humanitarian assistance, health care delivery, and global development. Dr. Yih received the IISE David F Baker Distinguished Research Award, the Melinda and Bill Gates Grand Challenge Award, the inaugural Faculty Engagement Fellow (highest honor for engagement at Purdue), and multiple Pritsker Undergraduate Teaching Awards and the Most Impactful Faculty Inventors at Purdue. She has vast experience in interdisciplinary and cross-sector collaboration to address global development challenges, e.g. integrated nutrition system for HIV patients in Kenya, medical supply chains for maternal health in Uganda, humanitarian supply chains in South Sudan and Ukraine, impacting over a million people in need. Dr. Yih received her B.S. in Industrial Engineering from the National Tsing Hua University in Taiwan, and her Ph.D. from the University of Wisconsin-Madison.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ETechnological advances in digital platforms, automation, and sensor systems are rapidly expanding capabilities in healthcare delivery and humanitarian assistance. However, in complex operating environments, the integration of these technologies often reveals a critical gap between cyber systems and the physical realities of human action, environmental variability, and contextual constraints. This misalignment can undermine decision quality and service reliability, and in some cases, lead to unintended or suboptimal outcomes.\u003C\/p\u003E\u003Cp\u003EThis talk examines these challenges in last-mile delivery for healthcare and humanitarian assistance, where decision-making is shaped by the dynamic interplay of human judgment, technological capabilities, and on-the-ground realities. Drawing on case studies, it will discuss how discrepancies between data collected for one operational purpose and its subsequent use for modeling or strategic decision-making can propagate through the system\u2014amplifying risks and degrading performance. Emphasis will be placed on the importance of context-aware design, stakeholder engagement, and research translation to deliver high-quality, sustainable solutions.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Bridging the Cyber\u2013Physical Gaps in Health and Humanitarian Assistance"}],"uid":"36527","created_gmt":"2025-08-12 19:01:42","changed_gmt":"2025-08-13 11:31:51","author":"hulrich6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-08-29T11:00:00-04:00","event_time_end":"2025-08-29T12:00:00-04:00","event_time_end_last":"2025-08-29T12:00:00-04:00","gmt_time_start":"2025-08-29 15:00:00","gmt_time_end":"2025-08-29 16:00:00","gmt_time_end_last":"2025-08-29 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402","extras":[],"groups":[{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"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":""}},"680237":{"#nid":"680237","#data":{"type":"event","title":"(CANCELED) SCL Course: Engineering the Warehouse (Virtual\/Instructor-led)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThe requirement for high levels of customer service, increasing numbers of Stock Keeping Units (SKUs), and high labor costs have dramatically increased the complexity of warehouse operations. It is no longer sufficient to manage a warehouse based on a simple, arbitrary \u201cABC\u201d classification of SKUs, which treats all those in a category as if they were identical. Instead, each decision, such as where to store or where to pick product, must be based on careful engineering and economic analysis.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThis course is designed for supply chain and logistics consultants, supply chain engineers and analysts, facility engineers, and warehouse supervisors and team leaders.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EExchange space for time (or vice versa) to better meet business objectives.\u003C\/li\u003E\u003Cli\u003EUnderstand when to use dedicated storage and when to use shared storage.\u003C\/li\u003E\u003Cli\u003EIdentify the most convenient locations in a warehouse based on an economic model.\u003C\/li\u003E\u003Cli\u003EIdentify patterns in customer orders and exploit these to speed fulfillment.\u003C\/li\u003E\u003Cli\u003EEvaluate warehouse performance.\u003C\/li\u003E\u003Cli\u003EOptimally size and stock a forward pick area.\u003C\/li\u003E\u003Cli\u003EUnderstand the best practices in order-picking.\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003E\u003Cstrong\u003EWhat You Will Learn\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003EWarehouse performance\u003C\/li\u003E\u003Cli\u003EModern warehouse trade-offs\u003C\/li\u003E\u003Cli\u003ESize and stocking optimization\u003C\/li\u003E\u003Cli\u003EOrder-picking best practices\u003C\/li\u003E\u003Cli\u003EAutomation\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe requirement for high levels of customer service, increasing numbers of Stock Keeping Units (SKUs), and high labor costs have dramatically increased the complexity of warehouse operations. It is no longer sufficient to manage a warehouse based on a simple, arbitrary \u201cABC\u201d classification of SKUs, which treats all those in a category as if they were identical. 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Whether you\u2019re leading teams or just beginning your AI journey, this event will unpack practical, high-ROI use cases\u2014from GenAI tools and techniques that will \u003Cstrong\u003Esave you and your team 10 hours a week\u003C\/strong\u003E, to intelligent agents poised to transform planning and execution. We\u2019ll cover what leaders need to know now, including prompting as a strategic skill, teaching critical thinking, AI policy implications for both students and companies, and real examples of how GenAI can move the needle on decision speed and quality.\u003C\/p\u003E\u003Cp\u003EExpect a fast-paced, \u003Cstrong\u003Einteractive format featuring real demos, \u201cunder-the-hood\u201d views of emerging trends \u003C\/strong\u003Elike agents, and our new \u003Cstrong\u003EAdvanced Analytics Learning Ladder\u003C\/strong\u003E\u2014an actionable guide to upskilling individuals and teams from fundamentals to frontier. Whether you\u2019re attending in person or online, you\u2019ll leave with tools and insights you can apply immediately to reclaim time, boost productivity, and future-proof your supply chain talent strategy.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EFeatured Speaker\u003C\/em\u003E: \u003Cstrong\u003EChris Gaffney\u003C\/strong\u003E, Managing Director of the Supply Chain and Logistics Institute and Edenfield Executive-in-Residence, and a Professor of the Practice.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EThe event will be hosted at Georgia Tech Savannah, but note that this is a hybrid event (attendees can\u0026nbsp;join in-person or virtually, but you must register to attend).\u003C\/strong\u003E\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EThursday, September 4, 2025\u003C\/strong\u003E\u003C\/h3\u003E\u003Cul\u003E\u003Cli\u003E7:30 am: \u003Cstrong\u003EBreakfast \u0026amp; Networking\u003C\/strong\u003E (on-site at the Georgia Tech Savannah campus)\u003C\/li\u003E\u003Cli\u003E8:00-9:30 am: \u003Cstrong\u003EProgram \u003C\/strong\u003E(This is a hybrid event. You can join in-person or virtually.)\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003ECost: \u003Cstrong\u003EFree\u003C\/strong\u003E\u003C\/p\u003E\u003Ch3\u003E\u003Ca href=\u0022https:\/\/www.eventbrite.com\/e\/unlocking-genai-in-the-supply-chain-from-curiosity-to-capability-tickets-1450232557619\u0022\u003ERegister via Eventbrite to Attend\u003C\/a\u003E\u003C\/h3\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/hg.gatech.edu\/sites\/default\/files\/documents\/2025-07\/GTSav-GenAI_in_SupplyChain_20250904.pdf\u0022\u003EDownload the Event Flyer\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJoin us for a dynamic session exploring how Generative AI is reshaping the supply chain landscape. Whether you\u0027re leading teams or just beginning your AI journey, this event will unpack practical, high-ROI use cases\u2014from GenAI tools and techniques that will save you and your team 10 hours a week, to intelligent agents poised to transform planning and execution.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"A hybrid event featuring SCL Managing Director Chris Gaffney and hosted by Georgia Tech Savannah."}],"uid":"27233","created_gmt":"2025-07-29 12:24:52","changed_gmt":"2025-07-29 14:36:34","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-04T07:30:00-04:00","event_time_end":"2025-09-04T09:30:00-04:00","event_time_end_last":"2025-09-04T09:30:00-04:00","gmt_time_start":"2025-09-04 11:30:00","gmt_time_end":"2025-09-04 13:30:00","gmt_time_end_last":"2025-09-04 13:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Hybrid (Georgia Tech Savannah Campus or Online)","extras":[],"hg_media":{"677512":{"id":"677512","type":"image","title":"Unlocking GenAI in the Supply Chain: From Curiosity to Capability","body":null,"created":"1753792606","gmt_created":"2025-07-29 12:36:46","changed":"1753792606","gmt_changed":"2025-07-29 12:36:46","alt":"Unlocking GenAI in the Supply Chain: From Curiosity to Capability","file":{"fid":"261418","name":"GTSav-Unlocking_GenAI_BreakfastSeries.jpg","image_path":"\/sites\/default\/files\/2025\/07\/29\/GTSav-Unlocking_GenAI_BreakfastSeries.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/07\/29\/GTSav-Unlocking_GenAI_BreakfastSeries.jpg","mime":"image\/jpeg","size":566557,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/07\/29\/GTSav-Unlocking_GenAI_BreakfastSeries.jpg?itok=WuJGUu0n"}}},"media_ids":["677512"],"related_files":{"261427":{"fid":"261427","name":"Unlocking GenAI in the Supply Chain: From Curiosity to Capability (September 4, 2025 )","file_path":"\/sites\/default\/files\/documents\/2025-07\/GTSav-GenAI_in_SupplyChain_20250904.pdf","file_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/documents\/2025-07\/GTSav-GenAI_in_SupplyChain_20250904.pdf","mime":"application\/pdf","description":"Event Flyer"}},"related_links":[{"url":"https:\/\/www.eventbrite.com\/e\/unlocking-genai-in-the-supply-chain-from-curiosity-to-capability-tickets-1450232557619","title":"Register via Eventbrite to Attend"}],"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":"1317","name":"Georgia Tech Savannah"},{"id":"167074","name":"Supply Chain"},{"id":"233","name":"Logistics"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"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":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"683211":{"#nid":"683211","#data":{"type":"event","title":"SCL Fall 2025 Supply Chain Day Career Fair","body":[{"value":"\u003Cp\u003EGeorgia Tech Supply Chain students and employers, please join us for our fall Supply Chain Day!\u0026nbsp;\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003EEvent Details\u003C\/strong\u003E\u003C\/h3\u003E\u003Ch4\u003EOn Campus\/In-Person (Georgia Tech Exhibition Hall)\u003C\/h4\u003E\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EMonday, September 15, 2025 | 10am-2pm ET\u003C\/strong\u003E\u003C\/li\u003E\u003C\/ul\u003E\u003Ch3\u003EStudents\u003C\/h3\u003E\u003Cp\u003E\u003Cstrong\u003EWe strongly encourage you to attend to seek full-time employment\u003C\/strong\u003E, \u003Cstrong\u003Einternships, and projects\u003C\/strong\u003E (rather than waiting until the end of the semester).\u003C\/p\u003E\u003Ch3\u003EOrganizations\u003C\/h3\u003E\u003Cp\u003EIf you are interested in hosting a table for the upcoming session, please let us know after reviewing the below information within our website. Early registration closes August 1st!\u003C\/p\u003E\u003Ch4\u003EMORE INFORMATION AND EVENT REGISTRATION\u003C\/h4\u003E\u003Cp\u003EVisit\u0026nbsp;\u003Ca href=\u0022https:\/\/www.scl.gatech.edu\/outreach\/supplychainday\u0022\u003E\u003Cstrong\u003Ehttps:\/\/www.scl.gatech.edu\/outreach\/supplychainday\u003C\/strong\u003E\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech Supply Chain\u0026nbsp;students and employers, please join us for our fall Supply Chain Day! 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It is no longer sufficient to manage a warehouse based on a simple, arbitrary \u201cABC\u201d classification of SKUs, which treats all those in a category as if they were identical. Instead, each decision \u2013 such as where to store or where to pick product \u2013 must be based on careful engineering and economic analysis. Each SKU must identify its own cheapest, fastest path through the warehouse to the customer and then compete with all the other SKUs for the necessary resources. This results in warehouse operations that are finely tuned to patterns of customer orders and maximally efficient. Learn the concepts necessary to address modern warehouse trade-offs between space and time in optimizing and managing your warehouse.\u003C\/p\u003E\u003Cp\u003EEssential learning for those who are seeking cost reductions through better handling methods. 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No changes to or from audit mode permitted after the last day of registration. Completed forms, including advisor signature, must be submitted no later than 4:00 PM Eastern Time.\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003ELast day to change grade more from Letter\/Grade to Pass\/Fail and vice versa.\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Last day to change grade more from Letter\/Grade to Pass\/Fail and vice versa. 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","body":[{"value":"\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003EFinal instructional class days for Fall 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noon.\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003EThesis and required master\u0027s thesis forms due no later than 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Due","body":[{"value":"\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003EThesis and required doctoral thesis forms due no later than 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noon.\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Thesis 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href=\u0022mailto:comments@registrar.gatech.edu\u0022\u003Ecomments@registrar.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"682657":{"#nid":"682657","#data":{"type":"event","title":"SCL Lunch and Learn: \u201cAre You Prepared for the Next Crisis?\u0022","body":[{"value":"\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003ELearn key lessons \u0026amp; strategies from recent health crises to strengthen supply chain resilience\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EThursday, July 3, 2025 | 12-1pm ET\u003C\/strong\u003E\u003C\/p\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003EJoin us while we examine key lessons from recent health crises to help you strengthen supply chain resilience and responsiveness. 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We will also explore strategies to improve preparedness for future large-scale public health emergencies.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Discover key lessons and strategies from recent health crises to boost supply chain resilience and future emergency preparedness."}],"uid":"27233","created_gmt":"2025-06-05 13:11:20","changed_gmt":"2025-06-24 18:08:45","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-07-03T12:00:00-04:00","event_time_end":"2025-07-03T13:00:00-04:00","event_time_end_last":"2025-07-03T13:00:00-04:00","gmt_time_start":"2025-07-03 16:00:00","gmt_time_end":"2025-07-03 17:00:00","gmt_time_end_last":"2025-07-03 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Online via Zoom","extras":[],"hg_media":{"677182":{"id":"677182","type":"image","title":"SCL Lunch and Learn: \u201cAre You Prepared for the Next Crisis?\u0022","body":null,"created":"1749129504","gmt_created":"2025-06-05 13:18:24","changed":"1749129504","gmt_changed":"2025-06-05 13:18:24","alt":"SCL Lunch and Learn: \u201cAre You Prepared for the Next Crisis?\u0022","file":{"fid":"261056","name":"hg-HHSCM.png","image_path":"\/sites\/default\/files\/2025\/06\/05\/hg-HHSCM.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/06\/05\/hg-HHSCM.png","mime":"image\/png","size":137638,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/06\/05\/hg-HHSCM.png?itok=yiHV5eTI"}}},"media_ids":["677182"],"related_links":[{"url":"https:\/\/gatech.zoom.us\/webinar\/register\/5017490578285\/WN_08LG6S-OQ9Cp6S1EQB1zoQ","title":"Register Online to Attend the Webinar"},{"url":"https:\/\/chhs.gatech.edu\/education\/professional-education","title":"Professional Education at the Center for Health and Humanitarian Systems"},{"url":"https:\/\/www.scl.gatech.edu\/education\/professional-education","title":"Professional Education at the Georgia Tech Supply Chain and Logistics Institute"}],"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":"3615","name":"information session"},{"id":"186857","name":"go-gtmi"},{"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\u003Ecourse@scl.gatech.edu\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":""}},"682838":{"#nid":"682838","#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":"2025-06-23 17:36:05","changed_gmt":"2025-06-23 17:37:01","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-13T13:00:00-04:00","event_time_end":"2026-04-16T17:00:00-04:00","event_time_end_last":"2026-04-16T17:00:00-04:00","gmt_time_start":"2026-04-13 17:00:00","gmt_time_end":"2026-04-16 21:00:00","gmt_time_end_last":"2026-04-16 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\/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":""}},"682837":{"#nid":"682837","#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":"2025-06-23 17:33:03","changed_gmt":"2025-06-23 17:33:55","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-23T13:00:00-05:00","event_time_end":"2026-02-26T17:00:00-05:00","event_time_end_last":"2026-02-26T17:00:00-05:00","gmt_time_start":"2026-02-23 18:00:00","gmt_time_end":"2026-02-26 22:00:00","gmt_time_end_last":"2026-02-26 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":""}},"682835":{"#nid":"682835","#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\u003EIncrease emphasis negotiation conditioning and philosophy setting before and throughout the entire sourcing engagement process\u003C\/li\u003E\u003Cli\u003EEnhance your toolbox of industry standard negotiation prep tools like the SWOT and BATNA\u003C\/li\u003E\u003Cli\u003EBetter prepare for negotiations by leveraging knowledge of key negotiation terms and counter-offer tactics\u003C\/li\u003E\u003Cli\u003EImprove negotiation table techniques and soft skills to direct and redirect negotiation momentum\u003C\/li\u003E\u003Cli\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\u003ENegotiation Conditioning Overview\u003C\/li\u003E\u003Cli\u003ENegotiation Preparation Tools\u003C\/li\u003E\u003Cli\u003ENegotiation Execution Techniques\u003C\/li\u003E\u003Cli\u003EStakeholder Engagement \u0026amp; Team Leadership\u003C\/li\u003E\u003Cli\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":"2025-06-23 16:16:03","changed_gmt":"2025-06-23 16:17:21","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-16T13:00:00-04:00","event_time_end":"2026-03-19T17:00:00-04:00","event_time_end_last":"2026-03-19T17:00:00-04:00","gmt_time_start":"2026-03-16 17:00:00","gmt_time_end":"2026-03-19 21:00:00","gmt_time_end_last":"2026-03-19 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Virtual\/Instructor-led","extras":[],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/epn","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":"167074","name":"Supply Chain"},{"id":"122741","name":"physical internet"},{"id":"110501","name":"purchasing"}],"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":""}},"682834":{"#nid":"682834","#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\u003EIncrease knowledge base in law of agency concepts to gain more confidence with contracting.\u003C\/li\u003E\u003Cli\u003EEnhance understanding of industry standard contract types and contract terms for more robust contract agreements.\u003C\/li\u003E\u003Cli\u003EBetter leverage sourcing category knowledge to modify existing contract elements for more holistic contract agreements. \u003C\/li\u003E\u003Cli\u003EImprove internal contract execution communication for better results.\u003C\/li\u003E\u003Cli\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\u003ELaw of Agency Overview\u003C\/li\u003E\u003Cli\u003EContract Agreement Types\u003C\/li\u003E\u003Cli\u003EDefining Key Terms\u003C\/li\u003E\u003Cli\u003EContract Structure \u0026amp; Drafting\u003C\/li\u003E\u003Cli\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":"2025-06-23 15:56:01","changed_gmt":"2025-06-23 15:57:43","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-09T13:00:00-04:00","event_time_end":"2026-03-11T17:00:00-04:00","event_time_end_last":"2026-03-11T17:00:00-04:00","gmt_time_start":"2026-03-09 17:00:00","gmt_time_end":"2026-03-11 21:00:00","gmt_time_end_last":"2026-03-11 21:00:00","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":[],"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":""}},"682833":{"#nid":"682833","#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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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\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\u003EEnhance understanding of sourcing process and critical steps in the Bid Package development and delivery activities\u003C\/li\u003E\u003Cli\u003EBetter leverage and utilization of solicitation tools to drive successful development of bid packages\u003C\/li\u003E\u003Cli\u003EImprove set up and execution of supplier selection scorecards to aid in identifying best Total Cost of Ownership alternatives\u003C\/li\u003E\u003Cli\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\u003EBid Package Development Overview\u003C\/li\u003E\u003Cli\u003ESourcing Initiative Process Roadmap\u003C\/li\u003E\u003Cli\u003EMarketplace Analysis Tools\u003C\/li\u003E\u003Cli\u003EBid Package Alternatives \u0026amp; Design\u003C\/li\u003E\u003Cli\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. 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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. 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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":"36698","created_gmt":"2025-02-05 19:41:23","changed_gmt":"2025-04-21 20:51:50","author":"dramirez65","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-05-12T13:00:00-04:00","event_time_end":"2025-05-13T17:00:00-04:00","event_time_end_last":"2025-05-13T17:00:00-04:00","gmt_time_start":"2025-05-12 17:00:00","gmt_time_end":"2025-05-13 21:00:00","gmt_time_end_last":"2025-05-13 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Georgia Tech Savannah Campus","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":""}},"681842":{"#nid":"681842","#data":{"type":"event","title":"ISyE Seminar - Ramesh Johari","body":[{"value":"\u003Cp\u003ETitle: \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EWhen Does Interference Matter? \u0026nbsp;Decision-Making in Platform Experiments\u003C\/p\u003E\u003Cp\u003EAbstract:\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;Online platforms and marketplaces use A\/B experiments to test new features and design changes. \u0026nbsp;Due to constraints on inventory, such experiments typically lead to biased estimation of treatment effects due to the presence of *interference* between treatment and control groups; this phenomenon has been extensively studied in recent literature. \u0026nbsp;By contrast, there has been relatively little discussion of the impact of interference on *decision-making*. \u0026nbsp; In this talk, we consider a benchmark Markovian model of a capacity-constrained platform, and study the impact of interference on (1) false positive probability and (2) statistical power. \u0026nbsp;We show that for a particular class of \u0022monotone\u0022 treatments (informally, treatments where the sign of the effect does not depend on the level of available inventory), using the standard t statistic with the na\u00efve difference-in-means estimator and classical variance estimator both correctly controls the false positive probability, and generally yields *higher* statistical power than any unbiased estimation method. \u0026nbsp;We show that in principle, these effects can be undermined when treatments are not monotone.\u003C\/p\u003E\u003Cp\u003EOur results have important implications for the practical deployment of debiasing strategies for A\/B experiments. \u0026nbsp;In particular, they highlight the need for platforms to carefully define their objectives and understand the nature of their interventions when determining appropriate estimation and decision-making approaches. \u0026nbsp;Notably, when interventions are monotone, the platform may actually be worse off by pursuing a debiased decision-making approach.\u003C\/p\u003E\u003Cp\u003EJoint work with Hannah Li, Anushka Murthy, and Gabriel Weintraub.\u003C\/p\u003E\u003Cp\u003EBio:\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ERamesh Johari is a Professor at Stanford University, with a full-time appointment in the Department of Management Science and Engineering (MS\u0026amp;E), and a courtesy appointment in the Department of Electrical Engineering (EE). He is an associate director of Stanford Data Science, and co-director of the Stanford Causal Science Center. He is a member of the Operations Research group and the Social Algorithms Lab (SOAL) in MS\u0026amp;E, the Information Systems Laboratory in EE, and the Institute for Computational and Mathematical Engineering. He received an A.B. in Mathematics from Harvard, a Certificate of Advanced Study in Mathematics from Cambridge, and a Ph.D. in Electrical Engineering and Computer Science from MIT. \u0026nbsp;His current research interests include market design, causal inference, and experimentation.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EOnline platforms and marketplaces use A\/B experiments to test new features and design changes. \u0026nbsp;Due to constraints on inventory, such experiments typically lead to biased estimation of treatment effects due to the presence of *interference* between treatment and control groups; this phenomenon has been extensively studied in recent literature. \u0026nbsp;By contrast, there has been relatively little discussion of the impact of interference on *decision-making*. \u0026nbsp; In this talk, we consider a benchmark Markovian model of a capacity-constrained platform and study the impact of interference on (1) false positive probability and (2) statistical power. \u0026nbsp;We show that for a particular class of \u0022monotone\u0022 treatments (informally, treatments where the sign of the effect does not depend on the level of available inventory), using the standard t statistic with the na\u00efve difference-in-means estimator and classical variance estimator both correctly controls the false positive probability, and generally yields *higher* statistical power than any unbiased estimation method. \u0026nbsp;We show that in principle, these effects can be undermined when treatments are not monotone.\u003C\/p\u003E\u003Cp\u003EOur results have important implications for the practical deployment of debiasing strategies for A\/B experiments. \u0026nbsp;In particular, they highlight the need for platforms to carefully define their objectives and understand the nature of their interventions when determining appropriate estimation and decision-making approaches. \u0026nbsp;Notably, when interventions are monotone, the platform may actually be worse off by pursuing a debiased decision-making approach.\u003C\/p\u003E\u003Cp\u003EJoint work with Hannah Li, Anushka Murthy, and Gabriel Weintraub.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"When Does Interference Matter?  Decision-Making in Platform Experiments"}],"uid":"36374","created_gmt":"2025-04-16 16:14:46","changed_gmt":"2025-04-16 16:18:01","author":"mwelch39","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-18T11:30:00-04:00","event_time_end":"2025-04-18T12:30:00-04:00","event_time_end_last":"2025-04-18T12:30:00-04:00","gmt_time_start":"2025-04-18 15:30:00","gmt_time_end":"2025-04-18 16:30:00","gmt_time_end_last":"2025-04-18 16:30:00","rrule":null,"timezone":"America\/New_York"},"location":" ISYE Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"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":""}},"679651":{"#nid":"679651","#data":{"type":"event","title":"11th International Physical Internet Conference (IPIC 2025)","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003EPlease join us for the 11th International Physical Internet Conference taking place June 18-20, 2025 in Hong Kong, China at The Hong Kong Polytechnic University.\u0026nbsp;The event is hosted by\u0026nbsp;the Department of Industrial \u0026amp; Systems Engineering (ISE) and the Research Institute of Advanced Manufacturing (RIAM) of The Hong Kong Polytechnic University.\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003EThe Physical Internet Initiative aims at transforming the way physical objects are moved, stored, realized, supplied and used, pursuing global logistics efficiency and sustainability. Originating from Professor \u003Ca href=\u0022https:\/\/www.scl.gatech.edu\/users\/benoit-montreuil\u0022\u003E\u003Cstrong\u003EBenoit Montreuil\u003C\/strong\u003E\u003C\/a\u003E in 2006, this ground breaking vision, revolutionizing current paradigms, has stirred great interest from scientific, industrial as well as governmental communities.\u003C\/p\u003E\u003Cp\u003EThe \u003Ca href=\u0022https:\/\/www.pi.events\/\u0022\u003E\u003Cstrong\u003EInternational Physical Internet Conference\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;aims to provide an open forum for researchers, industry representatives, government officials and citizens to together explore, discuss, introduce leading edge concepts, methodologies, recent projects, technological advancements, start-up initiatives, for current and future Physical Internet implementation.\u003C\/p\u003E\u003Cp\u003EConference topics include inter-connected logistics, PI fundamentals, business models, governance and implementation, cross-chain control, synchromodal transportation, IT systems, stakeholders and their roles. New business models, enabling technologies and experimentations already underway will be presented, making this meeting a unique opportunity to learn, network and discuss the latest results and challenges about interconnected logistics.\u003C\/p\u003E\u003Cp\u003EAnd, because logistics is global, participants will be from all over the world including researchers, industrial and international institution members, local authorities and standardization committees.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003EPlease join us for the 11th International Physical Internet Conference taking place June 18-20, 2025 in Hong Kong, China.\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cbr\u003E\u0026nbsp;\u003C\/div\u003E\u003C\/div\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Please join us for the 11th International Physical Internet Conference taking place June 18-20, 2025 in Hong Kong, China."}],"uid":"36698","created_gmt":"2025-01-16 14:01:34","changed_gmt":"2025-04-16 15:34:22","author":"dramirez65","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-06-18T09:00:00-04:00","event_time_end":"2025-06-20T18:00:00-04:00","event_time_end_last":"2025-06-20T18:00:00-04:00","gmt_time_start":"2025-06-18 13:00:00","gmt_time_end":"2025-06-20 22:00:00","gmt_time_end_last":"2025-06-20 22:00:00","rrule":null,"timezone":"America\/New_York"},"location":" The Hong Kong Polytechnic University (PolyU)","extras":[],"hg_media":{"676856":{"id":"676856","type":"image","title":"11th International Physical Internet Conference","body":null,"created":"1744817559","gmt_created":"2025-04-16 15:32:39","changed":"1744817559","gmt_changed":"2025-04-16 15:32:39","alt":"11th International Physical Internet Conference","file":{"fid":"260701","name":"IPIC2025_banner_sq.png","image_path":"\/sites\/default\/files\/2025\/04\/16\/IPIC2025_banner_sq.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/04\/16\/IPIC2025_banner_sq.png","mime":"image\/png","size":1298846,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/04\/16\/IPIC2025_banner_sq.png?itok=wXyX_Lus"}}},"media_ids":["676856"],"related_links":[{"url":"https:\/\/ipic2025.pi.events\/","title":"Conference 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":"122741","name":"physical internet"},{"id":"143871","name":"Physical Internet Center"},{"id":"194222","name":"Supply chain "},{"id":"233","name":"Logistics"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1789","name":"Conference\/Symposium"},{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"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\u003EPlease direct questions relating to the conference to \u003Ca href=\u0022mailto:ipic2025.hk@polyu.edu.hk\u0022\u003Eipic2025.hk@polyu.edu.hk\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"680224":{"#nid":"680224","#data":{"type":"event","title":"(CANCELED) SCL Course: Lean Warehousing (Onsite\/In-Person)","body":[{"value":"\u003Ch4\u003E\u003Cstrong\u003ECourse Description\u003C\/strong\u003E\u003C\/h4\u003E\u003Cp\u003EThis course will demonstrate how warehouse operations are a key enabler to a successful supply chain implementation and the starting point for a transformation. It is critical to manage safety, quality and efficiency. Learn to leverage the lean supply chain modifications to improve customer responsiveness and reduce operating costs and in doing so contributing to a supply chain that creates a competitive advantage for a company. To accomplish this goal, we must bring lean principles into the warehouse and distribution center.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWho Should Attend\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ESupply chain professionals, logistics professionals, material managers, production control managers, transportation managers, warehousing managers and purchasing managers\u003C\/p\u003E\u003Ch4\u003E\u003Cstrong\u003EHow You Will Benefit\u003C\/strong\u003E\u003C\/h4\u003E\u003Cp\u003E\u003Cstrong\u003EUpon completion of this course, you will be able to:\u003C\/strong\u003E\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EIsolate the key elements of lean thinking to be used in the warehouse\u003C\/li\u003E\u003Cli\u003EValue stream map warehouse operations\u003C\/li\u003E\u003Cli\u003EUtilize lean tools to reduce waste in the warehouse\u003C\/li\u003E\u003Cli\u003ECreate a warehouse operation based on visual management and real time problem solving\u003C\/li\u003E\u003Cli\u003EReduce inventories in warehouse operations\u003C\/li\u003E\u003Cli\u003ECreate collaboration between warehousing and other functional areas\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Cstrong\u003EBenefits:\u003C\/strong\u003E\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EReduce inventories in the warehouse\u003C\/li\u003E\u003Cli\u003EReduce warehousing costs by as much as 25%\u003C\/li\u003E\u003Cli\u003EImplement lean in the warehouse\u003C\/li\u003E\u003Cli\u003ECreate logistics collaboration between warehousing and other functional areas\u003C\/li\u003E\u003C\/ul\u003E\u003Ch4\u003E\u003Cstrong\u003EWhat is Covered\u003C\/strong\u003E\u003C\/h4\u003E\u003Cul\u003E\u003Cli\u003ELean Warehouse Overview\u003C\/li\u003E\u003Cli\u003ESupply Chain Implementation Framework\u003C\/li\u003E\u003Cli\u003ELean Storage Planning Approach\u003C\/li\u003E\u003Cli\u003EApplication of a Lean Storage Location Sizing Method\u003C\/li\u003E\u003Cli\u003EJIT Implementation Approach\u003C\/li\u003E\u003Cli\u003EHow To Develop Standard Work Batches\u003C\/li\u003E\u003Cli\u003EGeneration of an Operational Diagram\u003C\/li\u003E\u003Cli\u003ECreation of a Daily Operational Work Load Plan\u003C\/li\u003E\u003Cli\u003EDevelopment of a Progress Control Board\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis course will demonstrate how warehouse operations are a key enabler to a successful supply chain implementation and the starting point for a transformation. It is critical to manage safety, quality and efficiency. Learn to leverage the lean supply chain modifications to improve customer responsiveness and reduce operating costs and in doing so contributing to a supply chain that creates a competitive advantage for a company. To accomplish this goal, we must bring lean principles into the warehouse and distribution center.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Learn how warehouse operations are a key enabler to a successful supply chain implementation and the starting point for a transformation."}],"uid":"27233","created_gmt":"2025-02-05 19:26:58","changed_gmt":"2025-04-15 17:08:23","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-22T08:00:00-04:00","event_time_end":"2025-04-24T17:00:00-04:00","event_time_end_last":"2025-04-24T17:00:00-04:00","gmt_time_start":"2025-04-22 12:00:00","gmt_time_end":"2025-04-24 21:00:00","gmt_time_end_last":"2025-04-24 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"GT Savannah campus","extras":[],"related_links":[{"url":"https:\/\/www.scl.gatech.edu\/leanwh","title":"Course webpage within the SCL website"}],"groups":[{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"1676","name":"lean"},{"id":"6140","name":"warehousing"},{"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":""}},"681579":{"#nid":"681579","#data":{"type":"event","title":"ISYE Statistic Seminar - Kathryn Maupin","body":[{"value":"\u003Cp\u003ETitle: Bayesian Optimal Design of Pulsed Power Experiments\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAbstract:\u003C\/p\u003E\u003Cp\u003ETraditionally, there are two pillars of science: theory and experimentation. These two inform one another and lead scientists to make educated guesses and decisions toward advancing science. More recently, the driving force behind scientific advancement has not just focused on how much information can be learned, but how quickly. Additionally, experimental data can be costly and difficult to obtain. With these motivations in mind, the field of experimental design aims to maximize the information gained from as few experimental data points as possible. Computation has emerged as a third pillar of science to complement the traditional two and has been used to facilitate optimal experimental design.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ESandia\u2019s Z machine is the world\u2019s most powerful and efficient laboratory radiation source. Z experiments often exhibit large current losses, so a principal uncertainty is how effectively current can be delivered. Power flow simulations are very intensive, making them infeasible to use in critical design and optimization studies. Developing a consistent picture of how losses develop and evolve would improve understanding of present-day experiments and better constrain circuit model representations, providing a basis for quantifying uncertainties in circuit models applied to Z and improve confidence in predictions of target performance. This presentation details the implementation of a Bayesian optimization study to maximize the information gained from Z experimental data and design.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E* SNL is managed and operated by NTESS under DOE NNSA contract DE-NA0003525\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EBio:\u003C\/p\u003E\u003Cp\u003EKathryn Maupin is a Principal Member of the Technical Staff at Sandia National Laboratories. Motivated by a passion for transforming uncertainty into actionable insights, Kathryn leverages her extensive expertise in model validation, model form error quantification, and Bayesian analyses to drive innovative solutions that enhance research outcomes.\u003C\/p\u003E\u003Cp\u003EKathryn earned her PhD in Computational Science, Engineering, and Mathematics, along with her M.S. in Computational and Applied Mathematics, both from The University of Texas at Austin. Her fascination with mathematical modeling began at the University of California, San Diego, where she completed her B.A. in Applied Mathematics.\u003C\/p\u003E\u003Cp\u003EWhen she is not immersed in data and algorithms, Kathryn enjoys the chaos of family life with her three children and three dogs. Looking ahead, Kathryn aspires to continue pushing the boundaries of computational science while encouraging others to confront ubiquitous uncertainty in their work.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ETraditionally, there are two pillars of science: theory and experimentation. These two inform one another and lead scientists to make educated guesses and decisions toward advancing science. More recently, the driving force behind scientific advancement has not just focused on how much information can be learned, but how quickly. Additionally, experimental data can be costly and difficult to obtain. With these motivations in mind, the field of experimental design aims to maximize the information gained from as few experimental data points as possible. Computation has emerged as a third pillar of science to complement the traditional two and has been used to facilitate optimal experimental design.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Title: Bayesian Optimal Design of Pulsed Power Experiments"}],"uid":"36433","created_gmt":"2025-04-03 19:44:32","changed_gmt":"2025-04-03 19:46:03","author":"mrussell89","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-08T11:00:00-04:00","event_time_end":"2025-04-08T12:00:00-04:00","event_time_end_last":"2025-04-08T12:00:00-04:00","gmt_time_start":"2025-04-08 15:00:00","gmt_time_end":"2025-04-08 16:00:00","gmt_time_end_last":"2025-04-08 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"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":""}},"681452":{"#nid":"681452","#data":{"type":"event","title":"ISyE Seminar - Walter Rei","body":[{"value":"\u003Cp\u003ETitle:\u003C\/p\u003E\u003Cp\u003EDealing with Ambiguity in Humanitarian Decision-Making\u003C\/p\u003E\u003Cp\u003EAbstract:\u003C\/p\u003E\u003Cp\u003EOne of the major challenges humanitarian organizations face in response planning is managing the inherent ambiguity and uncertainty of disaster situations. In post-disaster contexts, information from various sources (assessing both the needs of affected populations and the extent of damage in the impacted area) often contains missing elements and inconsistencies, which can hinder effective decision-making. In this talk, I will present a new methodological framework that combines graph clustering and stochastic optimization to support humanitarian decision-makers in analyzing the implications of divergent estimates from multiple data sources and in efficiently integrating these estimates into the decision-making process. The usefulness of the proposed approach is demonstrated through a realistic case study on shelter location planning for internally displaced people (IDPs) in a conflict setting, specifically the Syrian civil war. We use needs assessment data from two reliable sources toestimate shelter requirements in Idleb, a district of Syria. Our case study shows that the framework enables decision-makers to assess the degree of ambiguity in the data and the level of consensus across sources, ultimately supporting better-informed decisions and more effective planning for the delivery of humanitarian aid.\u003C\/p\u003E\u003Cp\u003EBio:\u003C\/p\u003E\u003Cp\u003EWalter Rei is a Professor of Operations Research in the Department of Analytics, Operations, and Information Technologies at the \u00c9cole des Sciences de la Gestion, Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al, Canada. He currently holds the Canada Research Chair in Stochastic Optimization of Transport and Logistics Systems and is also a member of the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT). His research focuses on the development of efficient solution methodologies for integer programs and combinatorial optimization models relevant to transportation and logistics problems involving uncertainty.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EOne of the major challenges humanitarian organizations face in response planning is managing the inherent ambiguity and uncertainty of disaster situations. In post-disaster contexts, information from various sources (assessing both the needs of affected populations and the extent of damage in the impacted area) often contains missing elements and inconsistencies, which can hinder effective decision-making. In this talk, I will present a new methodological framework that combines graph clustering and stochastic optimization to support humanitarian decision-makers in analyzing the implications of divergent estimates from multiple data sources and in efficiently integrating these estimates into the decision-making process. The usefulness of the proposed approach is demonstrated through a realistic case study on shelter location planning for internally displaced people (IDPs) in a conflict setting, specifically the Syrian civil war. We use needs assessment data from two reliable sources to estimate shelter requirements in Idleb, a district of Syria. Our case study shows that the framework enables decision-makers to assess the degree of ambiguity in the data and the level of consensus across sources, ultimately supporting better-informed decisions and more effective planning for the delivery of humanitarian aid.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Dealing with Ambiguity in Humanitarian Decision-Making"}],"uid":"36374","created_gmt":"2025-03-31 12:42:04","changed_gmt":"2025-03-31 12:44:28","author":"mwelch39","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-11T11:30:00-04:00","event_time_end":"2025-04-11T12:30:00-04:00","event_time_end_last":"2025-04-11T12:30:00-04:00","gmt_time_start":"2025-04-11 15:30:00","gmt_time_end":"2025-04-11 16:30:00","gmt_time_end_last":"2025-04-11 16:30:00","rrule":null,"timezone":"America\/New_York"},"location":" ISYE Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"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":""}},"681451":{"#nid":"681451","#data":{"type":"event","title":"ISyE Seminar - Ann Campbell","body":[{"value":"\u003Cp\u003ETitle:\u003C\/p\u003E\u003Cp\u003EThe Search for Parking for Commercial Last-Mile Delivery in Urban Environments (or should they?)\u003C\/p\u003E\u003Cp\u003EAbstract:\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EParking is a time-consuming, and thus expensive, part of last-mile delivery in urban environments. \u0026nbsp;To build insights into driver parking behavior, we introduce the Stochastic Parking Problem (SPP) to model the search process for parking where delivery drivers may choose to park at available parking spots or double park at unavailable parking spots at the risk of receiving a fine. \u0026nbsp;To this end, the Stochastic Parking Problem (SPP) models the parking search process as a Markov Decision Process. We characterize the structure of the optimal parking policy for the SPP based on the probability that each parking spot is available and the expected cost of double parking. Further, we provide a polynomial-time algorithm to find the optimal policy for the SPP. \u0026nbsp;We utilize the optimal policy for the SPP to derive managerial insights regarding how drivers should approach the parking search process. In doing so, we identify sufficient enforcement levels to eliminate double parking from optimal parking decisions for last-mile delivery drivers.\u003C\/p\u003E\u003Cp\u003EBio:\u003C\/p\u003E\u003Cp\u003EAnn Melissa Campbell is the Clement T. and Sylvia H. Hanson Family Chair in Manufacturing Productivity in the Department of Business Analytics at the Henry B. Tippie College of Business. \u0026nbsp;Her research focuses on freight transportation, especially on problems related to new and emerging business models. \u0026nbsp;She is a recipient of the NSF CAREER Award and serves as an Area Editor for Transportation Science. \u0026nbsp;As department chair, she led the department\u2019s efforts to win the 2021 INFORMS UPS George D. Smith Prize for excellence in analytics education. \u0026nbsp;Since 2022, she has chaired the annual FutureBAProf workshop focused on educating PhD students and postdocs about academic careers in business schools.\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EParking is a time-consuming, and thus expensive, part of last-mile delivery in urban environments. \u0026nbsp;To build insights into driver parking behavior, we introduce the Stochastic Parking Problem (SPP) to model the search process for parking where delivery drivers may choose to park at available parking spots or double park at unavailable parking spots at the risk of receiving a fine. \u0026nbsp;To this end, the Stochastic Parking Problem (SPP) models the parking search process as a Markov Decision Process. We characterize the structure of the optimal parking policy for the SPP based on the probability that each parking spot is available and the expected cost of double parking. Further, we provide a polynomial-time algorithm to find the optimal policy for the SPP. \u0026nbsp;We utilize the optimal policy for the SPP to derive managerial insights regarding how drivers should approach the parking search process. In doing so, we identify sufficient enforcement levels to eliminate double parking from optimal parking decisions for last-mile delivery drivers.\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The Search for Parking for Commercial Last-Mile Delivery in Urban Environments (or should they?)"}],"uid":"36374","created_gmt":"2025-03-31 12:35:26","changed_gmt":"2025-03-31 12:38:30","author":"mwelch39","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-04T11:30:00-04:00","event_time_end":"2025-04-04T12:30:00-04:00","event_time_end_last":"2025-04-04T12:30:00-04:00","gmt_time_start":"2025-04-04 15:30:00","gmt_time_end":"2025-04-04 16:30:00","gmt_time_end_last":"2025-04-04 16:30:00","rrule":null,"timezone":"America\/New_York"},"location":" ISYE Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"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":""}},"681432":{"#nid":"681432","#data":{"type":"event","title":"ISyE Community Research Project Showcase","body":[{"value":"\u003Cdiv\u003EWe are excited to invite you to the \u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/news\/turn-learning-action-industrial-engineering-community-research-projects\u0022\u003E2025 Project Showcase, of the Community Research Project (CRP)\u003C\/a\u003E at \u003Ca href=\u0022https:\/\/www.isye.gatech.edu\u0022\u003EGeorgia Tech\u0027s H. Milton Stewart School of Industrial and Systems Engineering.\u003C\/a\u003E This event celebrates the integration of theoretical knowledge to real-world challenges with Atlanta-based organizations, while improving societal conditions.\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003EEvent Details:\u003C\/div\u003E\u003Cul\u003E\u003Cli\u003E\u003Cdiv\u003EPoster Symposium:\u0026nbsp;Wednesday, April 2, 2025, from 10:00 AM to 4:00 PM\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv\u003EProject Showcase Event:\u0026nbsp;Wednesday, April 2, 2025, from 5:00 PM to 8:00 PM\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv\u003ELocation:\u0026nbsp;ISyE Main Atrium\u003C\/div\u003E\u003C\/li\u003E\u003C\/ul\u003E\u003Cdiv\u003EThe CRP offers a low-stakes Senior Design experience, providing early undergraduates with the opportunity to be introduced to research while developing much needed professional skills. This program integrates leadership development, team building skills, and community partnerships\u0026nbsp;to create a holistic student experience.\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003ECRP Key Collaborators:\u003Cbr\u003EOur project is supported by a network of experts who help students navigate common leadership challenges, working effectively in a group setting, and translating their experience to their resume and during interviews. Key collaborators include:\u003C\/div\u003E\u003Cdiv\u003EDr. Stacey Doremus: Leadership Education and Development\u003C\/div\u003E\u003Cul\u003E\u003Cli\u003E\u003Cdiv\u003EDr. Mary Lynn Realff: Effective Team Dynamic Initiative\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv\u003EDr. Brandy Blake: Professional and Technical Communication\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv\u003ELaura Garcia: UG Career Education\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv\u003EDr. Sarah Brackmann: Community-Based Learning\u003C\/div\u003E\u003C\/li\u003E\u003C\/ul\u003E\u003Cdiv\u003EThrough these collaborations, undergraduates incorporate High-Impact Practices (HIPs) to encourage collaborative projects, service learning, and undergraduate research. \u0026nbsp;We believe that experiential learning is a potent tool for connecting theoretical knowledge with practical application, and we are excited to share our journey with you.\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003ETo register or for more information, please \u003Ca href=\u0022https:\/\/forms.office.com\/r\/AGzakTQbRU\u0022 id=\u0022OWA1a153157-5ecf-5df7-2d22-d038b294241f\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/forms.office.com\/r\/AGzakTQbRU\u0022\u003E\u003Cstrong\u003ECLICK HERE\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;or email us at \u003Ca href=\u0022mailto:case@isye.gatech.edu\u0022 id=\u0022OWA3e130c25-990f-e766-b53c-9395ae1a449c\u0022 title=\u0022mailto:case@isye.gatech.edu\u0022\u003Ecase@isye.gatech.edu\u003C\/a\u003E.\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003EThank you for your support, and we look forward to seeing you at the showcase!\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cp\u003ERead the full story here: \u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/news\/turn-learning-action-industrial-engineering-community-research-projects\u0022\u003Ehttps:\/\/www.isye.gatech.edu\/news\/turn-learning-action-industrial-engineering-community-research-projects\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E10 undergraduate industrial engineering groups will be presenting their research to field professionals, providing solutions to Atlanta\u0027s industry conglomerates\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"10 undergraduate industrial engineering groups will be presenting their research to field professionals, providing solutions to Atlanta\u0027s industry conglomerates"}],"uid":"36284","created_gmt":"2025-03-28 16:14:25","changed_gmt":"2025-03-28 16:22:47","author":"chenriquez8","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-02T10:00:00-04:00","event_time_end":"2025-04-02T20:00:00-04:00","event_time_end_last":"2025-04-02T20:00:00-04:00","gmt_time_start":"2025-04-02 14:00:00","gmt_time_end":"2025-04-03 00:00:00","gmt_time_end_last":"2025-04-03 00:00:00","rrule":null,"timezone":"America\/New_York"},"location":"ISyE Main Atrium","extras":["free_food","freebies"],"hg_media":{"676574":{"id":"676574","type":"image","title":"Community Research Project Team","body":null,"created":"1742319861","gmt_created":"2025-03-18 17:44:21","changed":"1742319861","gmt_changed":"2025-03-18 17:44:21","alt":"Community Research Project Team","file":{"fid":"260378","name":"SQUARE-PICS.png","image_path":"\/sites\/default\/files\/2025\/03\/18\/SQUARE-PICS.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/03\/18\/SQUARE-PICS.png","mime":"image\/png","size":1503875,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/03\/18\/SQUARE-PICS.png?itok=h_rR3AM8"}}},"media_ids":["676574"],"related_links":[{"url":"https:\/\/www.isye.gatech.edu\/news\/turn-learning-action-industrial-engineering-community-research-projects","title":"Learn More! Turn Learning into Action with Industrial Engineering Community Research Projects"}],"groups":[{"id":"660354","name":"Center for Academics, Success, and Equity"},{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1237","name":"College of Engineering"},{"id":"660346","name":"Master of Science in Analytics"},{"id":"1188","name":"Research Horizons"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"1191","name":"industrial engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"},{"id":"1788","name":"Other\/Miscellaneous"}],"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\u003EValarie McConico, Program and Operations Manager, vmcconico3@gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"681348":{"#nid":"681348","#data":{"type":"event","title":"SCL IRC Seminar: \u0022Tariffs, Uncertainty, and Trade\u0022","body":[{"value":"\u003Cp\u003EThe \u003Ca href=\u0022https:\/\/www.scl.gatech.edu\u0022\u003ESupply Chain and Logistics Institute\u003C\/a\u003E and \u003Ca href=\u0022https:\/\/www.scl.gatech.edu\/outreach\/SCLO\u0022\u003ESupply Chain \u0026amp; Logistics Organization\u003C\/a\u003E Student Group is co-hosting a special event seminar featuring Jerry Parrish from Metro Atlanta Chamber of Commerce.\u003C\/p\u003E\u003Ch2\u003ETariffs, Uncertainty, and Trade\u0026nbsp;\u003C\/h2\u003E\u003Ch3\u003Efeaturing Jerry Parrish, Chief Economist with the Metro Atlanta Chamber of Commerce\u003C\/h3\u003E\u003Ch4\u003EApril 10, 2025\u003Cbr\u003E11am-12pm ET | Seminar\u003C\/h4\u003E\u003Cp\u003E\u003Cstrong\u003EVenue\/Location\u003C\/strong\u003E\u003Cbr\u003E\u003Ca href=\u0022https:\/\/studentcenter.gatech.edu\/parking-information\u0022\u003EGeorgia Tech Exhibition Hall\u003C\/a\u003E - \u003Ca href=\u0022https:\/\/studentcenter.gatech.edu\/sites\/default\/files\/2023-03\/Exhibition%20Hall%20Maps%20PDF.pdf\u0022\u003EHome Park Room\u003C\/a\u003E (2nd floor)\u003Cbr\u003EGeorgia Institute of Technology\u003Cbr\u003E460 4th St NW, Atlanta, GA 30332\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Ch3\u003ESESSION OVERVIEW\u003C\/h3\u003E\u003Cp\u003EJoin us for an insightful seminar where Dr. Parrish will delve into the complex interplay between tariffs, inflation, interest rates, and other economic factors. The seminar will explore how these elements influence not only the economy of Georgia but also the broader American and global economies. Dr. Parrish will provide an analysis of current economic trends, shedding light on the uncertainties and challenges faced by businesses and policymakers in today\u0027s interconnected world. Attendees will gain a deeper understanding of the economic forces at play and their potential impacts on trade, investment, and economic growth.\u003C\/p\u003E\u003Ch3\u003ESESSION SPEAKER\u003C\/h3\u003E\u003Cp\u003EJerry D. Parrish, Ph.D. is the Chief Economist at the Metro Atlanta Chamber. He previously served as the Director of State and Local Policy Analysis at the Florida Institute of Government at Florida State University, where he also spent twelve years on the faculty of the Masters of Applied Economics Program.\u003C\/p\u003E\u003Cp\u003EDr. Parrish has held several prominent positions, including Chief Economist and Director of Research for the Florida Chamber Foundation, Chief Economist and Director of the Center for Competitive Florida at Florida TaxWatch, and Associate Director of the Center for Economic Forecasting \u0026amp; Analysis (CEFA) at Florida State University. His extensive experience in the private sector includes management roles at international manufacturing companies.\u003C\/p\u003E\u003Cp\u003EJerry holds a B.S. in Agricultural Business and Economics from Auburn University, an M.B.A. from Bellarmine University, an M.S. in Economics from the University of North Carolina at Charlotte, and a Ph.D. in Economics from Auburn University.\u003C\/p\u003E\u003Ch3\u003E\u003Ca href=\u0022https:\/\/eforms.scl.gatech.edu\/apr10seminar\u0022\u003E\u003Cstrong\u003ERegister Online for our Special Event Seminar\u003C\/strong\u003E\u003C\/a\u003E\u003C\/h3\u003E\u003Cp\u003E\u003Cbr\u003EFor questions, please email \u003Ca href=\u0022mailto:event@scl.gatech.edu\u0022\u003Eevent@scl.gatech.edu\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe \u003Ca href=\u0022https:\/\/www.scl.gatech.edu\u0022\u003ESupply Chain and Logistics Institute\u003C\/a\u003E and \u003Ca href=\u0022https:\/\/www.scl.gatech.edu\/outreach\/SCLO\u0022\u003ESupply Chain \u0026amp; Logistics Organization\u003C\/a\u003E Student Group is co-hosting a special event seminar featuring Jerry Parrish with the Metro Atlanta Chamber of Commerce.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Join the Supply Chain and Logistics Institute for a special event seminar featuring Jerry Parrish with the Metro Atlanta Chamber of Commerce."}],"uid":"27233","created_gmt":"2025-03-24 21:30:13","changed_gmt":"2025-03-24 22:46:05","author":"Andy Haleblian","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-10T11:00:00-04:00","event_time_end":"2025-04-10T12:00:00-04:00","event_time_end_last":"2025-04-10T12:00:00-04:00","gmt_time_start":"2025-04-10 15:00:00","gmt_time_end":"2025-04-10 16:00:00","gmt_time_end_last":"2025-04-10 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Georgia Tech Exhibition Hall - Home Park Room (2nd floor)","extras":[],"hg_media":{"676662":{"id":"676662","type":"image","title":"GT-SCLIRC_Seminar_JerryParrish_20250410.jpg","body":"\u003Cp\u003EClick to Enlarge\u003C\/p\u003E","created":"1742855314","gmt_created":"2025-03-24 22:28:34","changed":"1743075931","gmt_changed":"2025-03-27 11:45:31","alt":"SCL IRC Seminar: \u0022Tariffs, Uncertainty, and Trade\u0022","file":{"fid":"260475","name":"GT-SCLIRC_Seminar_JerryParrish_20250410.jpg","image_path":"\/sites\/default\/files\/2025\/03\/24\/GT-SCLIRC_Seminar_JerryParrish_20250410.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/03\/24\/GT-SCLIRC_Seminar_JerryParrish_20250410.jpg","mime":"image\/jpeg","size":510299,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/03\/24\/GT-SCLIRC_Seminar_JerryParrish_20250410.jpg?itok=laQBUvaN"}}},"media_ids":["676662"],"related_links":[{"url":"https:\/\/eforms.scl.gatech.edu\/apr10seminar","title":"Register Online for our Special Event SCL IRC seminar"},{"url":"https:\/\/www.scl.gatech.edu\/sites\/default\/files\/downloads\/sclirc\/GT-SCLIRC_Seminar_JerryParrish_20250410.pdf","title":"Download Flyer"}],"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":"167074","name":"Supply Chain"},{"id":"233","name":"Logistics"},{"id":"122741","name":"physical internet"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"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\u003Eevent@scl.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"681238":{"#nid":"681238","#data":{"type":"event","title":"ISyE Seminar - Lawrence Wein","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETITLE:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EAnalysis of the Genealogy Process in Forensic Investigative Genetic Genealogy\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EABSTRACT:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EThe genealogy process is typically the most time-consuming part of -- and a limiting factor in the success of -- forensic investigative genetic genealogy, which is a new approach to solving violent crimes and identifying human remains. We formulate a stochastic dynamic program that -- given the list of matches and their genetic distances to the unknown target -- chooses the best decision at each point in time: which match to investigate (i.e., find its ancestors), which ancestors of these matches to descend from (i.e., find its descendants), or whether to terminate the investigation. The objective is to maximize the probability of finding the target minus a cost on the expected size of the final family tree. We estimate the \u0026nbsp;parameters of our model using data from 17 cases (eight solved, nine unsolved) from the DNA Doe Project. We assess the Proposed Strategy using simulated versions of the 17 DNA Doe Project cases, and compare it to a Benchmark Strategy that ranks matches by their genetic distance to the target and only descends from known common ancestors between a pair of matches. The Proposed Strategy solves cases 25-fold faster than the Benchmark Strategy, and does so by aggressively descending from a set of potential most recent common ancestors between the target and a match even when this set has a low probability of containing the correct most recent common ancestor. This work has been used to solve several stalled cold cases.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBIO:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ELawrence M. Wein is the Jeffrey S. Skoll Professor of Management Science at the Graduate School of Business, Stanford University. He received a Ph.D. in Operations Research at Stanford University in 1988 and was a professor at MIT\u0027s Sloan School of Management from 1988 to 2002. His research interests are in operations management and public health. He was Editor-in-Chief of Operations Research from 2000 to 2005. He has been awarded a Presidential Young Investigator Award, the Erlang Prize, the Koopman Prize, the INFORMS Expository Writing Award, the Philip McCord Morse Lectureship, the INFORMS President\u2019s Award, the Frederick W. Lanchester Prize, the George E. Kimball Medal, a best paper award from Risk Analysis, and two notable paper awards from the Journal of Forensic Sciences. He is an INFORMS Fellow, a M\u0026amp;SOM Fellow and a member of the National Academy of Engineering.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe genealogy process is typically the most time-consuming part of -- and a limiting factor in the success of -- forensic investigative genetic genealogy, which is a new approach to solving violent crimes and identifying human remains. We formulate a stochastic dynamic program that -- given the list of matches and their genetic distances to the unknown target -- chooses the best decision at each point in time: which match to investigate (i.e., find its ancestors), which ancestors of these matches to descend from (i.e., find its descendants), or whether to terminate the investigation. The objective is to maximize the probability of finding the target minus a cost on the expected size of the final family tree. We estimate the parameters of our model using data from 17 cases (eight solved, nine unsolved) from the DNA Doe Project. We assess the Proposed Strategy using simulated versions of the 17 DNA Doe Project cases, and compare it to a Benchmark Strategy that ranks matches by their genetic distance to the target and only descends from known common ancestors between a pair of matches. The Proposed Strategy solves cases 25-fold faster than the Benchmark Strategy, and does so by aggressively descending from a set of potential most recent common ancestors between the target and a match even when this set has a low probability of containing the correct most recent common ancestor. This work has been used to solve several stalled cold cases.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Analysis of the Genealogy Process in Forensic Investigative Genetic Genealogy"}],"uid":"36374","created_gmt":"2025-03-19 19:07:28","changed_gmt":"2025-03-19 19:11:39","author":"mwelch39","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-03-28T11:30:00-04:00","event_time_end":"2025-03-28T12:30:00-04:00","event_time_end_last":"2025-03-28T12:30:00-04:00","gmt_time_start":"2025-03-28 15:30:00","gmt_time_end":"2025-03-28 16:30:00","gmt_time_end_last":"2025-03-28 16:30:00","rrule":null,"timezone":"America\/New_York"},"location":" ISYE Groseclose 402","extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"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":""}}}