Welcome
I am a Ph.D. candidate at the Department of Electrical, Computer, and Systems Engineering of Rensselaer Polytechnic Institute, USA. My advisor is Prof. Meng Wang. Previously, I obtained my B.Sc. and M.Sc. degrees in Electrical and Electronic Engineering from the University of Dhaka, Bangladesh.
My broad research interest lies in the theoretical and algorithmic aspects of deep learning. My current research focuses on developing data-, compute-, and memory-efficient learning and inference methods for large AI models with theoretical generalization guarantees.
News
- January, 2026 — Our paper on the efficient quantization of Mixture-of-Experts with theoretical guarantees is accepted in ICLR, 2026.
- October, 2025 - I passed the doctoral candidacy exam.
- March, 2025 - I will join IBM Research as a visiting research scholar for this summer.
- February, 2025 - I received the 2024 IBM PhD Fellowship.
- January, 2025 — I received the 2025 Belsky Award for Computational Sciences and Engineering at RPI
- October, 2024 — I received the Rensselaer’s Founders Award of Excellence
- May, 2024 — Our paper on the provably efficient expert-pruning for finetuned spare Mixture-of-Experts is accepted in ICML, 2024.
- April, 2023 — Our paper on the sample-efficiency of Mixture-of-Experts is accepted in ICML, 2023; recieved oral presentation.
Last updated: February 2026