BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.2.3.1//EN TZID:America/New_York X-WR-TIMEZONE:America/New_York BEGIN:VEVENT UID:0-5681@eng.ufl.edu DTSTART;TZID=America/New_York:20230217T104000 DTEND;TZID=America/New_York:20230217T113000 DTSTAMP:20251201T140932Z URL:https://www.eng.ufl.edu/news-events/events/ise-seminar-dr-alan-schelle r-wolf-carnegie-mellon-university/ SUMMARY:ISE Seminar: Dr.Alan Scheller-Wolf\, Carnegie Mellon University DESCRIPTION:UF ISE Spring Seminar Series\n2/17/23 at 10:40 AM\nVirtual Semi nar\nZoom: https://ufl.zoom.us/j/97583979403\nDr.Alan Scheller-Wolf\, Carn egie Mellon University\nTitle: "Multi-Armed Bandits with Endogenous Learni ng Curves: An Application to Split Liver Transplantation" (with Savannah T ang\, Andrew Li and Sridhar Tayur)\nAbstract: Proficiency in many sophisti cated tasks is attained through experience-based learning\, in other words \, learning by doing. For example\, transplant surgeons need to practice d ifficult surgeries to master the skills required\, call center staff need to handle customer calls to improve their ability to resolve customer issu es\, and new franchisees learn to operate smoothly over time. This experie nce-based learning may affect other stakeholders\, for example\, patients eligible for transplant surgeries. Such a situation illustrates the classi cal exploration versus exploitation trade-off: A central planner may want to identify and develop surgeons with high aptitudes\, while ensuring that patients still have excellent outcomes and equitable access to organs. We formulate a multi-armed bandit (MAB) model\, in which parametric learning curves are embedded in the reward functions to capture experience-based l earning. In addition\, our model includes provisions ensuring that the cho ices of arms are subject to fairness constraints (ensuring equity)\, incor porates queueing dynamics (to capture waiting time dynamics)\, and arm dep endence (to capture learning across similar surgeries). To solve our MAB p roblem we propose the L-UCB\, FL-UCB\, and QFL-UCB algorithms\, all varian ts of the upper confidence bound (UCB) algorithm that attain O(log t) regr et on problems enhanced with experience-based learning\, fairness concerns \, queueing dynamics\, and arm dependence. We demonstrate our model and al gorithms on the split liver transplantation (SLT) allocation problem\, sho wing that our algorithms have superior numerical performance compared to s tandard bandit algorithms in a setting where experience-based learning and fairness exist. From a methodological point of view\, our proposed MAB mo del and algorithms are generic and have broad application prospects. From an application standpoint\, our algorithms could be applied to help evalua te potential strategies to increase the proliferation of SLT and other tec hnically-difficult medical procedures.\nBio: Alan Scheller-Wolf is the Ric hard M. Cyert Professor of Operations Management at the Tepper School of B usiness. He has previously served as Senior Associate Dean of Research at Tepper\, and the head of the doctoral program. He received his PhD from th e IE/OR department of Columbia University in 1996\, having completed his d octorate under the advising of Karl Sigman. He has a Bachelor of Science i n Mathematics and Computational Science\, and a Bachelor of Arts in Art Hi story\, from Stanford University. Prior to his time at Columbia\, Alan ser ved for 2 1/2 years in the Peace Corps as a mathematics teacher\, in Serow e\, Botswana.\nAlan's research interests include inventory theory (especia lly ATO systems\, systems with capacities\, alternate supply options and/o r perishable products)\, healthcare (organ transplantation\, blood supply\ , treatment for opioid addiction disorder) energy\, service systems\, comp uter science\, stochastic processes and queueing theory. He has served on the editorial boards of Management Science\, Operations Research\, M&\; SOM\, and QUESTA. He has completed consulting projects with Amazon\, Cater pillar\, John Deere\, The American Red Cross\, and The Vera Institute of J ustice. He currently teaches courses in Quality and Sustainable Operations .\nPlease contact the ISE admin staff with any questions or information ne eded for the seminar: administration@ise.ufl.edu\nView other ISE upcoming Spring 2023 seminars https://www.ise.ufl.edu/news-events/events/scheduled- seminars-spring-2023/ CATEGORIES:Seminars LOCATION:https://ufl.zoom.us/j/97583979403 END:VEVENT BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:STANDARD DTSTART:20221106T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST END:STANDARD END:VTIMEZONE END:VCALENDAR