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.

Our Team

Ranjan Sarkar

Ranjan Sarkar

Doctoral Student

Area of research: Reinforcement Learning

Ahon Bandyopadhyay

Ahon Bandyopadhyay

MS Student

Area of research: Deep Model Predictive Control

Ambalika Raj

Ambalika Raj

Laboratory Technician

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Our Alumni

We are proud of our former researchers and trainees who have gone on to make significant impacts in academia and industry.

Saransh Yadav

MTech, 2026

A Study of Generalization and Stability in Policy Space Response Oracles (PSRO)

Akash Badhautiya

MTech, 2026

Token-Level PPO in RLHF: Stability and Reward Misalignment

Dolly Pandey

MTech, 2026

RAG-based Legal Assistant for General Financial Rules (GFR) 2025

Akkupalli Avinash

MTech, 2026

Exploring Policy and Value-Based RL Approaches for Robotic Locomotion

Raghuveer Patil

MTech, 2026

Small Language Models for Marine Hydrodynamics Problem Solving using RLPT

Raj Christ Ronghang

MTech, 2026

Reinforcement Fine-Tuning of Large Language Models with Automated Training Monitoring

Solomon Surya Sekhar Ankam

MTech, 2026

Design and control of Digital Twin of an Underwater Vehicle through Reinforcement Learning

Kaustubh Gupta

MTech, 2026

Adaptive Retrieval-Augmented Generation Framework for Legal Assistance Using Small Language Models for Edge Computing Systems

Pankaj Maurya

MTech, 2026

AI-Powered Virtual Negotiation Assistant for MSME Online Dispute Resolution

Mentors & Collaborators

Richard D. Braatz

MIT, USA

Girish Chowdhary

UIUC, USA

Debasish Chatterjee

IITB, India

Daniel Quevedo

QUT, Australia

Prashant Mehta

UIUC, USA

Colin Jones

EPFL, Switzerland

Andres E. Baquero

EarthSense, USA

Leena Vachhani

IITB, India

Mateus V. Gasparino

UIUC, USA

Mattia Gazzola

UIUC, USA

Sahaj Saxena

Thapar Univ, India

Sanket Diwale

MIT, USA

Tixian Wang

UIUC, USA

Atreyee Kundu

IITKgp, India

Rolf Findeisen

TUD, Germany