Principal Investigator

I am an Assistant Professor with the Department of Artificial Intelligence (DoAI), Indian Institute of Technology Kharagpur (IITKgp), India, and currently working at the intersection of control and learning. I am developing algorithms for autonomous systems to make them smarter with the help of data and distribution. I use control theory to provide safety certificates, and to enhance explainability and trustworthiness of AI driven techniques.

I did PhD from the Indian Institute of Technology Bombay (IITB), India, on Stochastic Model Predictive Control (MPC) for Cyber Physical Systems. During my PhD, I received a Swiss Government Excellence Scholarship to study at the Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland, for one year. I learnt Gaussian process regression and implemented stochastic MPC on a quadcopter during my stay at EPFL.

Before joining IITKgp, I was a Postdoctoral Associate at the Massachusetts Institute of Technology (MIT), USA, and working on polynomial chaos theory for advanced manufacturing applications. Prior to that, I was a Postdoctoral Research Asssociate at the University of Illinois at Urbana Champaign (UIUC), USA, where we developed a couple of deep learning supported MPC algorithms and a constrained estimator for the agricultural robotics and aerospace applications.

Sep 2023-present Assistant Professor, Department of Artificial Intelligence, IIT Kharagpur, India
Feb 2023-Aug 2023 Postdoctoral Associate, Massachusetts Institute of Technology (MIT), USA
Apr 2019-Jan 2023 Postdoctoral Research Associate, Coordinated Science Laboratory, University of Illinois Urbana-Champaign (UIUC), USA
Sep 2017–Aug 2018 Visiting doctoral student and research scientist, Automatic Control Laboratory, EPFL, Switzerland
Jul 2013-Mar 2019
Ph.D., Systems & Control Engineering, Indian Institute of Technology Bombay (IITB), India
Oct 2018–Mar 2019: Research Associate
Jul 2014–Aug 2017: System Administrator, Systems and Control Engineering
Jul 2013–Jun 2014: Teaching Assistant

Teaching

  • AI/ML for Robot Autonomy - Autumn 2024, Autumn 2025
  • Essentials of Machine Learning (second half) - Autumn 2025
  • Linear Algebra for AI - Autumn 2025
  • Linear Algebra for AI/ML (second half) - Autumn 2024
  • AI for Cyber Physical Systems - Spring 2024, Spring 2025, Spring 2026
  • Optimization for ML (second half) - Spring 2026

Research Grants

  • Development of an advanced reliability-based remaining useful life estimation framework for multi-component autonomous underwater vehicle systems
    Co-Principal Investigator, DFTM, DRDO, Ministry of Defence.
  • IQuaP: Intelligent Quadrupeds for Police
    Principal Investigator, Prime Minister Early Career Startup Research Grant, ANRF.
  • Safe and robust learning for dynamical systems under uncertainties
    Principal Investigator, Faculty Startup Research Grant, SRIC, IIT Kharagpur.