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Uday V. Shanbhag

Professor

Location

2893 IOE

Phone

Primary Website

Biography

Uday Shanbhag’s research focuses on the analysis and algorithmic resolution of optimization and equilibrium problems with applications in energy systems and statistical learning. He previously held the Gary and Sheila Chaired Professorship in the Department of Industrial and Manufacturing Engineering at Pennsylvania State University, where he arrived in Fall 2012. Before his position at Penn. State he was first an assistant professor from 2006–2012, and subsequently a tenured associate professor (for approx. 10 days), in the Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana-Champaign.

Education

  • PhD, Stanford University, 2006, Management Science and Engineering (Operations Research)
  • SM, Massachusetts Institute of Technology, 1998, Operations Research
  • B.Tech, Indian Institute of Technology, 1993, Aerospace Engineering

Research Interests

Uday Shanbhag’s research focuses on developing analytical and computational tools for optimization, variational, and game-theoretic problems complicated by nonsmoothness, nonconvexity, stochasticity, and hierarchy. These tools have generally found applicability in the design and operation of power systems and markets, while more recent results have seen impact in statistical learning.


Research areas:
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Professional Service

  • Uday currently serves on the editorial boards of SIAM Journal of Optimization, Computational Optimization and Applications, and Optimization Letters.

Awards

  • College of Engineering Penn. State Engg. Alumni Society (PSEAS) Outstanding Research Award (2018)
  • Gary and Sheila Bello Chaired Professorship at Penn State (2017 — 2024)
  • Best Theoretical Paper in Winter Simulation Conference (with F. Yousefian and A. Nedich) (2013)
  • NSF Early Career Award (Operations Research – CMMI) (2012)
  • Best paper prize for Computational Optimization and Applications (COAP) (Jointly with Walter Murray) (2008)
  • Triennial AW Tucker Prize from the Math. Optimization Society (2006)