djalota _at_ stanford _dot_ edu
Devansh Jalota
Alumni · now at Georgia Institute of Technology
Devansh is a PhD student in Computational and Mathematical Engineering at Stanford University. Prior to joining Stanford, he received his BS in Civil and Environmental Engineering and BA in Applied Mathematics with highest distinction from University of California Berkeley. During his time at Berkeley, Devansh developed practically efficient tools to approach a suede of problems in the water, transportation and energy spaces, including the implementation of water purification systems in slum communities in Mumbai.Devansh’s current research interests span algorithmic game theory, market design and optimization. His current work is focused on the development of incentive schemes and market mechanisms for society to enable a smooth uptake of socially aware traffic routing strategies.
Awards:
- Departmental Citation in Civil and Environmental Engineering at UC Berkeley
Publications
15 publications · full lab bibliography
- D. Jalota, “Dynamics of Decentralized Congestion Games,” Ph.D. dissertation, Stanford University, Dept. of Aeronautics and Astronautics, 2025.
- D. Berriaud, E. Elokda, D. Jalota, E. Frazzoli, M. Pavone, and F. Dorfler, “To Spend or to Gain: Online Learning in Repeated Karma Auctions,” Proc. Int. Conf. on Autonomous Agents and Multiagent Systems, 2025. (In Press)
- D. Jalota, M. Ostrovsky, and M. Pavone, “Matching with Transfers under Distributional Constraints,” Games and Economic Behavior, vol. 152, pp. 313--332, 2025.
- D. Jalota, M. Tsao, and M. Pavone, “Catch Me If You Can: Combatting Fraud in Artificial Currency Based Government Benefits Programs,” 2024. (Submitted)
- C. Chiu, D. Jalota, and M. Pavone, “Credit vs. Discount-Based Congestion Pricing: A Comparison Study,” Proc. IEEE Conf. on Decision and Control, 2024. (In Press)
- D. Jalota, M. Ostrovsky, and M. Pavone, “When Simple is Near-Optimal in Security Games,” 2024. (Submitted)
- D. Jalota, K. Solovey, K. Gopalakrishnan, S. Zoepf, H. Balakrishnan, and M. Pavone, “When Efficiency meets Equity in Congestion Pricing and Revenue Refunding Schemes,” IEEE Transactions on Control of Network Systems, 2023. (In Press)
- D. Jalota, K. Solovey, M. Tsao, S. Zoepf, and M. Pavone, “Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment,” Autonomous Agents and Multi-Agent Systems, vol. 37, no. 32, pp. 1--40, 2023.
- D. Jalota, J. Lazarus, A. Bayen, and M. Pavone, “Credit-Based Congestion Pricing: Equilibrium Properties and Optimal Scheme Design,” Proc. IEEE Conf. on Decision and Control, 2023.
- D. Jalota, M. Pavone, Q. Qi, and Y. Ye, “Fisher Markets with Linear Constraints: Equilibrium Properties and Efficient Distributed Algorithms,” Games and Economic Behavior, vol. 141, pp. 223--260, 2023.
- D. Jalota, K. Gopalakrishnan, N. Azizan, R. Johari, and M. Pavone, “Online Learning for Traffic Routing under Unknown Preferences,” Int. Conf. on Artificial Intelligence and Statistics, 2023.
- D. Jalota, D. Paccagnan, M. Schiffer, and M. Pavone, “Online Routing Over Parallel Networks: Deterministic Limits and Data-driven Enhancements,” INFORMS Journal on Computing, vol. 35, no. 3, pp. 560--577, 2023.
- D. Jalota, K. Solovey, M. Tsao, S. Zoepf, and M. Pavone, “Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment,” Proc. Int. Conf. on Autonomous Agents and Multiagent Systems, 2022.