I am currently a PhD candidate at CSE Dept, Purdue University, advised by Prof. Jean Honorio and Prof. Petros Drineas.
Before joining Purdue University, I was an MS (Research) scholar under the guidance of Prof. Balaraman Ravindran and Prof. Shankar Narasimhan at CSE department, IIT Madras. My MS work was focused on spectral hypergraph theory using tensor representation of hypergraphs.
I finished my Dual Degree (B.Tech + M.Tech) in Electrical Engineering from IIT Madras, where I collaborated with Prof. Arun K. Tangirala, Prof. Shankar Narasimhan for my final year research project. I am also fortunate for the opportunity to closely work with Prof. Raghunathan Rengaswamy, Prof. Manikandan Narayanan, and Prof. Srinivasan Parthasarathy.
PhD in Computer Science, 2021
Purdue University
MS (Research) in Computer Science, 2018
Indian Institute of Technology Madras
B.Tech and M.Tech in Electrical Engg., 2011
Indian Institute of Technology Madras
One paper accepted in Uncertainty in Artificial Intelligence conference, UAI 2026
Co-organizing Learning on Graphs conference, LoG 2026
Recent work accepted in AISTATS 2026 conference: Robust Estimation of a Sparse Linear Model - Provable Guarantees with Non-convexity
Co-organized fifth edition of Graphs & more Complex structures for Learning & Reasoning (GCLR) workshop at AAAI. I have co-organized GCLR workshop five times
Work accepted in ICASSP 2025 conference: Exact solution for Adversarial Training and Partial Inference in Structured Prediction
Work accepted in TMLR journal: Adversarial Corruption on Sparse Regression