Uday V. ShanbhagUday V. Shanbhag
Associate Professor

353 Leonhard Bldg.
Phone:(814) 865-7266


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Research Areas:

Initiative for Sustainable Electric Power Systems


Uday V. Shanbhag is an associate professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering. His research interests lie in the development of analytical tools and scalable computational schemes for optimization and equilibrium problems, with a focus on addressing competition, uncertainty, nonsmoothness and nonconvexity. Much of his research finds application in the realm of power systems and markets, where he has examined a range of questions, including the examination of strategic interactions in multi-settlement markets under uncertainty, the location of electrical substations and dynamic competitive equilibrium models. From 2006 to 2012, he was first an assistant professor and subsequently an associate professor (effective Summer, 2012) at the Industrial and Enterprise Systems Engineering (ISE) at the University of Illinois at Urbana-Champaign.

Education Background:

- Ph. D. , Management Science and Engineering (Op. Research), Stanford University,
- S. M. , Operations Research, Massachusetts Institute of Technology
- B. Tech. , Aerospace Engineering, Indian Institute of Technology (IIT), Mumbai

Research Interests:

Memberships & Committees:

- Society of Industrial and Applied Mathematics (SIAM)
- Mathematical Programming Society (MPS)
- Institute of Operations Research and Management Science (INFORMS)
- Institute of Electrical and Electronic Engineers (IEEE)

Honors & Awards:

- NSF Career Award (Operations Research), 2012-2017
- The triennial A.W. Tucker prize for outstanding Ph.D. dissertation from the Mathematical Programming Society (MPS), 2006
- Best paper prize for Computational Optimization and Applications (COAP) (Jointly with Walter Murray for A Local Relaxation Method for the Siting of Electrical Substations), 2008
- Excellence in Teaching Award, University of Illinois; 2008, 2011


- Theory and algorithms for optimization and equilibrium problems
- Analysis and solution of stochastic optimization and variational inequality problems
- Design and operation of power systems and markets