IITKGP
Prabhat Kumar Mishra, IIT Kharagpur

Prabhat Kumar Mishra

Assistant Professor Grade-I

Artificial Intelligence

+91-3222-284531

pkmishra@cai.iitkgp.ac.in

Students interested in getting hands-on experience of Artificial Intelligence on robots such as crazyflie, turtlebot, Pluto, Guro drone etc. can write an email to me through their institute email id. |

Research Areas

  • Artificial Intelligence
  • Automation and Robotics
  • Stochastic Optimization and Control
  • Cyber physical systems
No Record Found.
  • Minimum variance constrained estimator by Mishra P. K., Chowdhary G. , Mehta P. G. Automatica - (2022)
  • Reference tracking stochastic model predictive control over unreliable channels and bounded control actions by Mishra P. K., Diwale S. S., Chatterjee D. , Jones C. N. Automatica - (2021)
  • Stochastic predictive control under intermittent observations and unreliable actions by Mishra P. K., Chatterjee D. , Quevedo D. E. Automatica - (2020)
  • Sparse and constrained stochastic predictive control for networked systems by Mishra P. K., Chatterjee D. , Quevedo D. E. Automatica - (2018)
  • Stabilizing stochastic predictive control under Bernoulli dropouts by Mishra P. K., Chatterjee D. , Quevedo D. E. IEEE Transactions on Automatic Control - (2018)
  • Unmatched Uncertainty Mitigation Through Neural Network Supported Model Predictive Control by Gasparino M. V., Mishra P. K., Chowdhary G. Conference on Decision and Control (CDC) - (2023)
  • Deep Model Predictive Control With Stability Guarantees by Mishra P.K., Gasparino M.V., Chowdhary G. IEEE Transactions on Automatic Control 70 5460-5467 (2025)
  • Deep Model Predictive Control by Mishra P. K., Gasparino M. V., Velasquez A. E., Chowdhary G. Conference on Robot Learning (CoRL), workshop on Learning to Adapt and Improve in the Real World - (2022)
  • Algorithmic design and implementation considerations of deep MPC by Mishra P. K., Gasparino M. V., Chowdhary G. Indian Control Conference 461-466 (2025)

Principal Investigator

  • IQuaP: Intelligent Quadrupeds for Police Anusandhan National Research Foundation (ANRF)
  • Safe and robust learning for dynamical systems under uncertainties Sponsored Research and Industrial Consultancy (SRIC)

Co-Principal Investigator

  • Development of an advanced reliability-based remaining useful life (RUL) estimation framework for multi-component autonomous underwater vehicle (AUV) systems Directorate of Futuristic Technology Management (DFTM), Defence Research and Development Organisation, Ministry of Defence

Ph. D. Students

P. B. Salim

Area of Research: AI + Economics

Ranjan Sarkar

Area of Research: Reinforcement Learning

MS Students

Ahon Bandyopadhyay

Area of Research: Learning based Model Predictive Control