Hello! π I am a 4th year Ph.D. student at the Department of ECE, North Carolina State University advised by Dr. Aritra Mitra. My research focuses on the theoretical foundations of reinforcement learning, statistical learning, and control under uncertainty. In particular, I am interested in understanding how learning and decision-making systems behave when the information available to them is imperfect. This could be due to adversarial corruption, heavy-tailed noise, quantization, communication delays, asynchronous updates, temporal dependence, non-stationarity, or unreliable agents. As a part of my research work, I also have relevant background in Probability Theory, Linear Algebra, Stochastic Optimization, Randomized Algorithms, and Robust Statistics. Previously, I have completed my M.Tech in Robotics and Autonomous Systems from Indian Institute of Science, Bangalore in 2023 and B.E in Electrical Engineering from Jadavpur University, Kolkata in 2021.
A central goal of my work is to design provably reliable reinforcement learning algorithms and develop sharp finite-sample rates, together with matching lower bounds that characterize the fundamental limits imposed by these imperfections. More broadly, I am interested in the statistical and information-theoretic limits of learning under imperfect feedback and constrained information. My work has appeared in major AI venues, including ICML 2026 and AISTATS 2025, as well as major control venues such as IEEE CDC 2024, CDC 2026, and IEEE ACC 2026. Beyond these contributions, several of my recent works are currently under review at leading journals, including IEEE TAC, IEEE TSP, Automatica, and TMLR.
Aside from my passion for mathematics, I also enjoy cooking, reading, writing poetry, and reflecting deeply.
Also, I love cats, and elephants. A lot. πβ€οΈπΈ
- π‘ Google Scholar
- π Research Website
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