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SUMMARY:ISyE - Deterministic Benchmarks to Inform Sequential Decisions Using Lookahead
DESCRIPTION:UW-ISyE looks forward to welcoming Itai Gurvich from Northwestern University. \n\n\n\n\n\n\n\nDynamic programming is a canonical tool for solving complex sequential decision problems in operations. Yet\, because it suffers from the curse of dimensionality\, one often must rely on approximations. Among these\, deterministic—or “fluid”—approximations have long served as tractable benchmarks that reveal key structural properties of optimal or near-optimal policies in dynamic resource allocation problems across service operations and revenue management. \n\n\n\nWhile such fluid approximations have been widely—and often ad hoc—applied\, this talk presents a systematic framework for leveraging them to design high-quality control policies through what we call fluid lookahead. I will illustrate the approach in a family of finite-horizon revenue management problems\, showing how fluid lookahead captures key structural properties of the true optimal policies and\, perhaps surprisingly\, achieves near-optimal performance with only a few lookahead steps.  \n\n\n\nThis is joint work with Daniel Loredo Duran (PhD student) and Jan A. Van Mieghem. \n\n\n\n\n\nBio: Itai Gurvich is a Professor at the Kellogg School of Management\, Northwestern University. He earned his Ph.D. from Columbia University’s Graduate School of Business in 2008 and joined Kellogg the same year. From 2016 to 2020\, he was on the faculty of Cornell University’s campus in New York City (Cornell Tech) before returning to Kellogg in 2021. \n\n\n\nProfessor Gurvich’s research focuses on the performance analysis and optimization of processing networks\, as well as the theory of stochastic-process approximations. His work has been recognized with the INFORMS Applied Probability Society’s Best Publication Award. He has served as the Stochastic Models Area Editor for Operations Research and as Chair of the INFORMS Applied Probability Society.
URL:https://engineering.wisc.edu/event/isye-deterministic-benchmarks-to-inform-sequential-decisions-using-lookahead/
LOCATION:1163 Mechanical Engineering\, 1513 Engineering Dr.\, Madison\, WI\, 53706\, United States
CATEGORIES:Colloquium,Industrial & Systems Engineering
ATTACH;FMTTYPE=image/png:https://engineering.wisc.edu/wp-content/uploads/2026/03/cohengraphic-2.avif
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CREATED:20260311T134410Z
LAST-MODIFIED:20260311T134944Z
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SUMMARY:ISyE - Modeling to Inform Intervention Planning and Deployment for Infectious Disease Control
DESCRIPTION:UW-ISyE looks forward to welcoming Pinar Keskinocak from Georgia Tech. \n\n\n\n\n\n\n\n Infectious diseases continue to impact millions of people every year around the world\, despite many advances in medicine and technology. Pharmaceutical interventions such as testing\, vaccines\, or treatment\, may not be available\, and when they are\, resources for their deployment are often very limited. Other challenges (e.g.\, logistical\, societal) may also hamper deployment. Decisions regarding what\, when\, and how to deploy need to incorporate various short- and long-term considerations\, as well as human behaviors such as following non-pharmaceutical intervention recommendations or uptake of available pharmaceutical interventions. In this presentation\, we will illustrate these challenges using a few examples from infectious diseases that are targeted for elimination or eradication\, and share results from modeling studies to help inform these complex decisions. \n\n\n\n\n\nBio: Pinar Keskinocak is the H. Milton and Carolyn J. Stewart School Chair and Professor in the School of Industrial and Systems Engineering (ISyE) at Georgia Tech. She is the co-founder and Director of the Center for Health and Humanitarian Systems (CHHS). Previously\, she served as Associate Chair for Faculty Development in ISyE\, College of Engineering ADVANCE Professor\, and Interim Associate Dean for Faculty Development and Scholarship. Her research spans supply chain management and applications in health and humanitarian systems\, with a multidisciplinary\, multi-stakeholder perspective. Recent work has focused on disease modeling\, evaluating interventions\, resource allocation\, process improvement for healthcare delivery\, and disaster preparedness\, response\, and recovery. Her research has appeared in leading journals and has been supported by government agencies\, industry\, NGOs\, and foundations. Her leadership and service within Georgia Tech\, professional communities\, and nationwide have been extensive\, including serving as the President of INFORMS in 2020. Dr. Keskinocak is a Fellow of INFORMS and IISE. She is the recipient of the INFORMS President’s Award (2024)\, George E. Kimball Medal (2024)\, and Women in Operations Research and Management Science Award.
URL:https://engineering.wisc.edu/event/isye-modeling-to-inform-intervention-planning-and-deployment-for-infectious-disease-control/
LOCATION:1163 Mechanical Engineering\, 1513 Engineering Dr.\, Madison\, WI\, 53706\, United States
CATEGORIES:Colloquium,Industrial & Systems Engineering
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2026/03/cohengraphic-1.avif
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