Nishanth Venkatesh S.

I am a second year PhD student at Cornell University. I am fortunate to be advised by Prof. Andreas Malikopoulos. My research interest are Causal Inference; Reinforcement Learning; Off-Policy Evaluation.

I completed my Master's of science in Robotics at the University of Delaware. My undergraduate degree was in Mechanical engineering at Indian Institute of Technology Bombay.

publications

Journals

Aditya Dave, Nishanth Venkatesh S., and Andreas A. Malikopoulos (2025). “Approximate Information States for Worst Case Control and Learning in Uncertain Systems”. In: IEEE Transactions on Automatic Control 70.1, pp. 127–142. doi: 10.1109/TAC.2024.3422889.
Nishanth Venkatesh, Aditya Dave, Ioannis Faros, and Andreas A. Malikopoulos. "Stochastic control with distributionally robust constraints for cyber-physical systems vulnerable to attacks." European Journal of Control (2024): 101044. Elsevier.

Conferences

Nishanth Venkatesh S., Heeseung Bang, and Andreas A. Malikopoulos. "Off-Policy Evaluation for Sequential Persuasion Process with Unobserved Confounding ." 2025 64th IEEE Conference on Decision and Control (to appear)
Nishanth Venkatesh, Viet-Anh Le, Aditya Dave, and Andreas A. Malikopoulos. "Connected and automated vehicles in mixed-traffic: Learning human driver behavior for effective on-ramp merging." 2023 62nd IEEE Conference on Decision and Control (CDC), 2023, pp. 92-97. IEEE.
Aditya Dave, Ioannis Faros, Nishanth Venkatesh, and Andreas A. Malikopoulos. "Worst-case control and learning using partial observations over an infinite time horizon." 2023 62nd IEEE Conference on Decision and Control (CDC), 2023, pp. 6020-6025. IEEE.
Aditya Dave, Nishanth Venkatesh, and Andreas A Malikopoulos (2023). “On Robust Control of Partially Observed Uncertain Systems with Additive Costs”. In: Proceedings of the 2023 American Control Conference (ACC), pp. 4639–4644.
Aditya Dave, Nishanth Venkatesh, and Andreas A. Malikopoulos. "Approximate information states for worst-case control of uncertain systems." 2022 IEEE 61st Conference on Decision and Control (CDC), 2022, pp. 4945-4950. IEEE.
Aditya Dave, Nishanth Venkatesh, and Andreas A. Malikopoulos. "Decentralized control of two agents with nested accessible information." 2022 American Control Conference (ACC), 2022, pp. 3423-3430. IEEE.
Aditya Dave, Nishanth Venkatesh, and Andreas A. Malikopoulos. "On decentralized minimax control with nested subsystems." 2022 American Control Conference (ACC), 2022, pp. 3437-3444. IEEE.

Relavant Courses

Foundations of Reinforcement Learning
Probability Theory
Convex Optimization
Game Theory and Mechanism Design
Stochastic Optimal Control
Linear and Nonlinear Control

Academic Service

Reviewer

IEEE Transactions in Automatic Control (TAC)
IEEE Control Systems Letters (L-CSS)
Conference on Decision and Control (CDC)
American Control Conference (ACC)
European Control Conference (ECC)
International Conference on Intelligent Transportation (ITSC)

Seminar Series

Co-organizing the Data Driven Learning and Control (DDLC) seminar series by the IDS lab at Cornell University.

Page updated

Report abuse