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Vaibhav Srivastava

Associate Professor
Electrical and Computer Engineering
Mechanical Engineering (by courtesy)
College of Engineering

Cognitive Science Program (affiliated)
Michigan State University
Email: vaibhav -at- egr.msu.edu
Office: Room 1210, Engineering Building
Tel: +1 517-432-0019

Research Interests

Cyber Physical Human Systems with emphasis on

  • Mixed Human-Robot Systems

  • Networked Multi-Agent Systems

  • Mathematical Neuroscience

     
Multiagent Decision-Making Dynamics Inspired by Honeybees, IEEE TCNS 2018 pdf   Human Supervisory Control of Robotic Teams: Integrating Cognitive Modeling with Engineering Design, IEEE CSM 2015 pdf   Collective Decision-Making in Ideal Networks: The Speed-Accuracy Tradeoff, IEEE TCNS 2014 pdf   Modeling Human Decision Making in Generalized Gaussian Multiarmed Bandits, Proc IEEE 2014 pdf
Teaching
  • 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

Codes
  • 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 the B.Tech. degree (2007) in mechanical engineering from the Indian Institute of Technology Bombay, Mumbai, India; the M.S. degree in mechanical engineering (2011), the M.A. degree in statistics (2012), and the Ph.D. degree in mechanical engineering (2012) from the University of California at Santa Barbara, Santa Barbara, CA.

Dr Srivastava is currently an Associate Professor with the Electrical and Computer Engineering, Michigan State University. He is also affiliated with Mechanical Engineering, Cognitive Science Program, and Connected and Autonomous Networked Vehicles for Active Safety (CANVAS). He served as a Lecturer and Associate Research Scholar with the Mechanical and Aerospace Engineering Department, Princeton University, Princeton, NJ from 2013-2016. He serves on the IEEE Control System Society conference editorial board since 2018. He received the best paper award (as coauthor) at the 2014 European Control Conference. His research focuses on Cyber Physical Human Systems with emphasis on mixed human-robot systems, networked multi-agent systems, aerial robotics, and connected and autonomous vehicles.

Electrical & Computer Engineering
Michigan State University
Room 1210, Engineering Building
428 S. Shaw Lane
East Lansing, MI 48824-1226