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Dr. Umesh Vaidya

Professor

Office:  233 Fluor Daniel Building
Phone: (864) 656-7471
Fax: (864) 656-4435
Email: uvaidya@clemson.edu

Website: https://dyco-ai.github.io/dycoailab_web/

Education

Ph.D.: Mechanical Engineering with specialization in Dynamical Systems and Control Theory. University of California, Santa Barbara, CA. B.E., Electrical Engineering, June 1997, Victoria Jubliee Technological Institute, Mumbai, India Area of Study: Control theory

Research Interests

  • Operator Theoretic Methods for Data-Driven Dynamical Analysis and Control
  • Cyber Physical Systems and Network Controlled Systems
  • Robust Optimization Algorithms and Robust Learning.
  • Data-Driven Analytics for Power Grid and Robust Optimization in Power Systems
  • Data-Driven Learning and Control of Robotics Systems.
  • Building Systems Dynamical Analysis and Control.

Awards and Honors

  • 2012 National Science Foundation, CAREER Award.
  • Energy System Best Paper Award at American Control Conference, Mil- waukee, 2018 for the paper “Transfer Operator Theoretic Framework for Monitoring Building Indoor Environment in Uncertain Operating Conditions” authored by Himanshu Sharma, Anthony D. Fontanini, Umesh Vaidya, and Baskar Ganapathysubramanian.
  • Invited Keynote speaker at 7th international workshop on set oriented numeric, Free University Berlin, Germany, September 2016. Title of the talk: Operator theoretic methods in dynamics and control.
  • Invited Speaker at the Institute for Pure and Applied Mathematics (IPAM), UCLA for workshop entitled “Operator Theoretic Methods in Dynamic Data Analysis and Control”, February 2019.
  • Litton Industries Professorship Award, 2010-2011.

Selected Publications

  1. S. Sinha, B. Huang, and U. Vaidya, Robust approximation of Koopman operator and prediction in random dynamical systems, Journal of Nonlinear Science, 2019.
  2. S. Sinha and U. Vaidya, On Data-Driven Computation of Information Transfer for Causal Inference in Discrete-time Dynamical Systems, Journal of Nonlinear Science, volume 30, pages1651–1676(2020)
  3. S. Sinha, P. Sharma,  U. Vaidya, and V. Ajjarapu, On Information Transfer Based Characterization of Power System Stability,  IEEE Transactions of Power Systems, 2019.
  4. S. Pushpak, A. Diwadkar, and U. Vaidya, Mean Square-Based Stochastic Stability Analysis of Continuous time Linear Network System, IEEE Transactions of Automatic Control, Volume: 63, Issue: 12, Dec. 2018.
  5. A. Diwadkar and U. Vaidya, Limitations and tradeoff in synchronization of large-scale networks with uncertain links, {\it Scientific Reports, Nature Publication Group, 6, 2016.
  6. U. Vaidya and I. Mezic, Existence of invariant tori in action-angle-angle map with degeneracy, Physica D, Vol 241, Issue 13, pp. 1136-1145 2012.
  7. U. Vaidya and P. G. Mehta, Lyapunov measure for almost everywhere stability, IEEE Transactions on Automatic control, Vol 53, pp. 307-323, 2008
  8.  S. Sinha,  U. Vaidya, and R. Rajaram, Optimal placement of actuators and sensors for control of nonequilibrium dynamics, Journal of Mathematical Analysis and Application, Vol 440, Issue 2, pp: 750-772, 2016.
  9. K. Ebrahimi, N. Elia, and U. Vaidya, A continuous time dynamical system approach for solving robust optimization, European Control Conference, 2019.
  10. B. Huang, U. Vaidya, Data-Driven Feedback Stabilization Using Koopman Operator, Book Chapter: Koopman Operator for Control.
Umesh Vaidya