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UID:0-5607@eng.ufl.edu
DTSTART;TZID=America/New_York:20230127T104000
DTEND;TZID=America/New_York:20230127T113000
DTSTAMP:20251201T140932Z
URL:https://www.eng.ufl.edu/news-events/events/ise-spring-seminar-john-has
 enbein-ph-d/
SUMMARY:ISE Spring Seminar: John Hasenbein\, Ph.D.
DESCRIPTION:UF ISE Spring Seminar Series\n1/27/23 at 10:40 AM\nWeil Hall Ro
 om 406 or Zoom\nhttps://ufl.zoom.us/j/97583979403\nTitle: "Policy Robustne
 ss in Queueing Networks"\nAbstract: In this research we introduce a new fr
 amework for designing "policy robust" multiclass networks. These networks
  are motivated by complex systems such as semiconductor wafer fabrication 
 facilities\, and telecommunications networks. In operations research\, and
  other areas\, robust control and optimization when facing data and param
 eter uncertainty has been the focus of intense interest over the past few 
 years. In contrast to much of this work\, we insure that network behavior
  is robust when individual nodes in the network have freedom to choose the
 ir own scheduling policies (under some reasonable constraints). Hence\, t
 he network in this case is "robust" to perturbations in the network policy
 . \nOur methodology is connected to corresponding robust optimization pro
 blems\, where the uncertainty set is actually the set of allowable polici
 es at the nodes in the network (rather than\, say\, the network data). We 
 also demonstrate a new "convexity" property\, in which the stability for 
 this family of policies is inherited from "corner point" policies\, via a 
 control framework known as the Skorohod Problem. We believe this approach 
 could be broadened to cover more general robust control problems. \nBio: 
 John Hasenbein is a professor in the Graduate Program in OR/IE at the Un
 iversity of Texas Austin. He received his B.S. in Systems Science and Math
 ematics from Washington University in St. Louis and his M.S. and Ph.D. fro
 m Georgia Tech. Dr. Hasenbein's research interests include queueing and f
 luid models\, large deviations\, and Markov decision processes. He has do
 ne applied work in the areas of semiconductor scheduling\, decision making
  in epilepsy treatment\, hurricane evacuation\, risk analysis in nuclear 
 power plants\, and power systems resilience. \nHe is on the editorial boa
 rds of Operations Research\, Queueing Systems\, Operations Research Letter
 s\, and Stochastic Systems. Dr. Hasenbein has been supported by NSF via 
 an International Research Fellowship and a CAREER award\, among other gran
 ts. His applied research projects have been funded by AMD\, International 
 Sematech\, Samsung\, Ayata\, Zilliant\, ConocoPhillips\, the South Texas N
 uclear Operating Company\, and the DOE.\nPlease contact Barbara Martin wit
 h any questions or information needed for the seminar: barbara@ise.ufl.edu
 \nView other ISE upcoming Spring 2023 seminars here: https://www.ise.ufl.e
 du/news-events/events/scheduled-seminars-spring-2023/
CATEGORIES:Seminars
LOCATION:https://ufl.zoom.us/j/97583979403
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