I am a Ph.D. Candidate in the department of Computer Science at the Purdue University. My advisor is Professor Yexiang Xue.
I am interested in Artificial Intelligence, Reinforcement Learning, and Robotics. My work focuses on designing and developing intelligent learning agents capable of making interpretable, critical decisions under uncertain conditions.
Currently, my efforts are concentrated on the issue of generalization in reinforcement learning. I aim to develop algorithms that remain robust against the effects of confounders, with the ultimate goal of using these algorithms to solve real-world tasks.
I am exploring the use of foundational models as a source of prior knowledge in reinforcement learning algorithms. I am investigating how this can enable RL in various practical applications, such as surgical robotics and medical imaging, including the automation of burn injury treatment.
I completed my M.S. from the department of Computer Science at the University of Virginia in 2018. Before joining the University of Virginia, I worked as a Lecturer in the Computer Science and Engineering department at the BRAC University. I completed my B.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET) in 2013.