Publications 

• Congestion Pricing for Efficiency and Equity: Theory and Applications to the San Francisco Bay Area 

with Kshitij Kulkarni, Druv Pai, Jiarui Yang, Manxi Wu, Shankar Sastry

• Markov -alpha Potential Games: Equilibrium Approximation and Regret Analysis

with Xin Guo, Xinyu Li*, Manxi Wu, Shankar Sastry

• Incentive-Compatible Vertiport Reservation in Advanced Air Mobility: An Auction-Based Approach

with Pan-Yang Su*, Victoria Tuck and Shankar Sastry 

• Understanding the Impact of Coalitions between EV Charging Stations

with Sukanya Kudva*, Kshtij Kulkarni*, Anil Aswani and Shankar Sastry 

• Follower Agnostic Methods for Stackelberg Games

with Shankar Sastry, Lillian Ratliff, Eric Mazumdar 

• Independent and Decentralized Learning in Markov Potential Games 

with Manxi Wu*, Druv Pai and Shankar Sastry 

*equal contribution

• Dynamic Tolling in Arc-based Traffic Assignment Models

Annual Allerton Conference on Communication, Control, and Computing 2023

with Chih-Yuan Chiu, Pan-Yang Su and Shankar Sastry

• Arc-based Traffic Assignment: Equilibrium Characterization and Learning

Conference on Decision and Control (CDC) 2023

with Chih-Yuan Chiu*, Pan-Yang Su and Shankar Sastry

• Competing Bandits in Time-Varying Matching Markets 

      Learning for Decision and Control Conference (L4DC) 2023

with Deepan Muthirayan, Pramod Khargonekar and Shankar Sastry

• Online Learning for Traffic Navigation in Congested Networks 

Algorithmic Learning Theory (ALT) 2023

with Sreenivas Gollapudi, Kostas Kollias, Manxi Wu

• Inducing Social Optimality in Games via Adaptive Incentive Design

Conference on Decision and Control (CDC) 2022

with Kshitij Kulkarni, Manxi Wu and Shankar Sastry

• Decentralized, Communication-and Coordination-free Learning in Structured Matching Markets

Neural Information Processing Systems (NeurIPS) 2022

with Shankar Sastry and Eric Mazumdar

• Dynamic Tolling for Inducing Socially Optimal Traffic Loads

American Control Conference (ACC) 2022

 with Kshitij Kulkarni*, Manxi Wu and Shankar Sastry 

• Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization

International Conference on Artificial Intelligence and Statistics (AISTATS) 2022

with Chih-Yuan Chiu*, Eric Mazumdar, Shankar Sastry and Lillian Ratliff

• Round-robin temporal scheduling of exponentially stabilizing controllers

Asian Control Conference (ASCC) 2019

with Sukumar Srikant and Debasish Chatterjee 

(Finalist for Shimemura Young author award)

• Stabilization under round-robin scheduling of control inputs in nonlinear systems. 

Automatica 2021

with Sukumar Srikant and Debasish Chatterjee

• Optimal Multiplexing of Discrete-Time Constrained Control Systems on Matrix Lie Groups. 

IEEE Transactions on Automatic Control 2020

with Sukumar Srikant and Debasish Chatterjee 

• Effect of progressive tool wear on the evolution of the dynamic stability limits in high-speed micromilling of Ti-6Al-4V

Journal of Manufacturing Science and Engineering 2019

with Rinku Mittal, Salil S. Kulkarni and Ramesh Singh 

• Machine learning enabled computational screening of inorganic solid electrolytes for suppression of dendrite formation in lithium metal anodes. 

ACS Central Science 2018 

with Zeeshan Ahmad, Tian Xie, Jeffrey Grossman, Venkat Viswanathan