Ankur A. Kulkarni, Ph.D.

Affiliations: 
2010 University of Illinois, Urbana-Champaign, Urbana-Champaign, IL 
Area:
Industrial Engineering, Operations Research, Applied Mathematics
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"Ankur Kulkarni"

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U V. Shanbhag grad student 2010 UIUC
 (Generalized Nash games with shared constraints: Existence, efficiency, refinement and equilibrium constraints.)
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Publications

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Jose ST, Kulkarni AA. (2020) Shannon Meets von Neumann: A Minimax Theorem for Channel Coding in the Presence of a Jammer Ieee Transactions On Information Theory. 66: 2842-2859
Kulkarni AA. (2020) Near Optimality of Linear Strategies for Static Teams With “Big” Non-Gaussian Noise Ieee Transactions On Automatic Control. 65: 534-545
Chadha KN, Kulkarni AA. (2020) Aggregate Play and Welfare in Strategic Interactions on Networks Journal of Mathematical Economics. 88: 72-86
Abraham MP, Kulkarni AA. (2020) Price-Coupling Games and the Generation Expansion Planning Problem Annals of Operations Research. 1-19
Jose ST, Kulkarni AA. (2019) Improved Finite Blocklength Converses for Slepian–Wolf Coding via Linear Programming Ieee Transactions On Information Theory. 65: 2423-2441
Kulkarni AA. (2018) Local and Networked Mean-square Estimation with High Dimensional Log-concave Noise Ieee Transactions On Information Theory. 64: 2759-2773
Abraham MP, Kulkarni AA. (2018) ADMM-based algorithm for solving DC-OPF in a large electricity network considering transmission losses Iet Generation, Transmission & Distribution. 12: 5811-5823
Pandit P, Kulkarni AA. (2018) Refinement of the equilibrium of public goods games over networks: Efficiency and effort of specialized equilibria Journal of Mathematical Economics. 79: 125-139
Pandit P, Kulkarni AA. (2018) A linear complementarity based characterization of the weighted independence number and the independent domination number in graphs Discrete Applied Mathematics. 244: 155-169
Abraham MP, Kulkarni AA. (2018) New results on the existence of open loop Nash equilibria in discrete time dynamic games via generalized Nash games Mathematical Methods of Operations Research. 89: 157-172
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