Vaibhav Srivastava

• ECE 858 : Networked Control Systems, MSU, Fall 2020, Fall 2023

• ECE 417/818 : Robotics, MSU, Spring 2017-

• ECE 313 : Control Systems, MSU, Fall 2017-2019, Fall 2021

• ELE 523/MAE 548 : Nonlinear Systems, Princeton University, Spring 2014, Spring 2015

• MAE 434 : Modern Control, Princeton University, Fall 2014

• First passage time computations for time varying drift diffusion processes. code

• Explicit moments of decision times for single-and double-threshold drift-diffusion processes. code

Vaibhav Srivastava received his B.Tech. degree in mechanical engineering from the Indian Institute of Technology Bombay, Mumbai, India, in 2007. He earned an M.S. (2011) and Ph.D. (2012) in mechanical engineering, along with an M.A. in statistics (2012), from the University of California, Santa Barbara. Dr. Srivastava is currently an Associate Professor of Electrical and Computer Engineering at Michigan State University, with additional affiliations in Mechanical Engineering and the Cognitive Science Program. From 2013 to 2016, he served as a Lecturer and Associate Research Scholar in the Department of Mechanical and Aerospace Engineering at Princeton University. He is a senior member of the IEEE.

His research focuses on Cyber-Physical Human Systems, with an emphasis on mixed human-robot teams, networked multi-agent systems, neuroscience, and autonomous aerial and ground vehicles. His work has been supported by the National Science Foundation, the Office of Naval Research, the Army Research Office, the Army Automotive Research Center, and the Ford Motor Company.

Dr. Srivastava serves as an Associate Editor for the ASME Journal of Dynamical Systems, Measurement, and Control and the IEEE Open Journal of Control Systems. He was a guest editor for the 2023-2024 Special Issue on Data-Driven Modeling and Control of Dynamical Systems in the ASME Journal of Dynamical Systems, Measurement, and Control. Additionally, he served on the IEEE Control Systems Society conference editorial board (2018-2023), the editorial board for the 2021 Modeling, Estimation, and Control Conference (MECC), and the program committees for multiple American Control Conferences (ACC), the 2026 IEEE Conference on Decision and Control (CDC), and the 2018 ASME Dynamical Systems and Control Conference (DSCC).

He has held leadership roles in several premier control conferences, including serving as Registration Chair for the 2025 ACC, Workshop Chair for the 2023 ACC, Student and Young Members Chair for the 2018 DSCC, and Chair of the Organizing Committee for the 7th Midwest Workshop on Control and Game Theory.