I am a fourth-year Ph.D. student in the Department of EECS at UC Berkeley advised by Prof. S. Shankar Sastry. I am interested in game theory, control, and learning. I enjoy using ideas from dynamical systems and geometry to understand what happens when many intelligent agents are learning and making decisions over time.
Contact: ksk at eecs dot berkeley dot edu
Ph.D. EECS, University of California, Berkeley (in progress)
M.A. Mathematics, University of California, Berkeley (in progress)
M.S. EECS, University of California, Berkeley (2022)
Thesis: Social Optimality via Dynamic Tolling and Adaptive
Incentive Design [pdf]
B.S. Electrical Engineering, Georgia Institute of Technology (2019)
Publications and Manuscripts
"Towards Dynamic Causal Discovery with Rare Events: A Nonparametric Conditional Independence Test", Chih-Yuan Chiu, Kshitij Kulkarni, and Shankar Sastry, Preprint, 2022, [pdf].
"Towards a Theory of Maximal Extractable Value I: Constant Function Market Makers", Kshitij Kulkarni, Theo Diamandis, Tarun Chitra, Preprint, 2022, [pdf].
"DeFi Liquidity Management via Optimal Control: Ohm as a Case Study", Tarun Chitra, Kshitij Kulkarni, Guillermo Angeris, Alex Evans, Victor Xu, Preprint, 2022, [pdf].
"Inducing Social Optimality in Games via Adaptive Incentive Design", Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, and Shankar Sastry, Conference on Decision and Control (CDC), 2022, [pdf].
"Dynamic Tolling for Inducing Socially Optimal Traffic Loads", Chinmay Maheshwari*, Kshitij Kulkarni*, Manxi Wu, and Shankar Sastry, American Control Conference(ACC), 2022, [pdf].
"Improving Proof of Stake Economic Security via MEV Redistribution", Tarun Chitra and Kshitij Kulkarni, 2022 ACM CCS Workshop on Decentralized Finance and Security, 2022, [pdf].
"Social Choice with Changing Preferences: Representation Theorems and Long-Run Policies", Kshitij Kulkarni and Sven Neth, Workshop on Consequential Decision-Making in Dynamic Environments, NeurIPS, 2020, [pdf].