Arindam Chowdhury
Machine Learning Researcher, Rice University.
ac131 *at* rice.edu
I am a PhD student in the department of Electrical and Computer Engineering at Rice University, advised by Santiago Segarra. My current research interests lie in graph machine learning, distributed learning, machine learning for wireless, constrained optimization and model-based deep learning. I am on the job market for full-time research and applied science roles in industry that start in or after August, 2024.
From 2017 to 2019, I was a researcher at TCS Research in the Deep Learning & Artificial Intelligence group, advised by Lovekesh Vig. My research there focused on document information retrieval using deep vision and sequence models. I have a Master’s degree in Signal Processing from IIT Guwahati, where I worked on incremental clustering algorithms, advised by Prithwijit Guha. I have a Bachelor’s degree in Electronics and Communications from NIT Durgapur.
My Erdős number is 4, and the shortest path is given by Paul Erdős — Vance Faber — Gunnar Carlsson — Santiago Segarra — Arindam Chowdhury.
news
Oct 28, 2023 | Presented “Learning Non-myopic Power Allocation in Constrained Scenarios” at ASILOMAR CSSC-2023. |
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Sep 30, 2023 | Our paper “Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks” is published in IEEE Trans. on Wireless Comm. |
May 16, 2023 | Returned as Applied Scientist Intern with Buyer Abuse Prevention (BAP) ML team at Amazon. |
May 22, 2022 | Two papers published at IEEE ICASSP-2022. |
May 15, 2022 | Started as Applied Scientist Intern with Buyer Abuse Prevention (BAP) ML team at Amazon. |