I am an Assistant Professor at The Elmore Family School of Electrical and Computer Engineering at Purdue University and the director of MINDS Group. Previously, I was a Postdoctoral scholar at the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin. I received my PhD and MSE degrees in Electrical and Computer Engineering department at UT Austin in 2020 and 2016, and my BS degree in Electrical Engineering from Sharif University of Technology in 2014.
The goal of my research is to advance the field of Large-Scale Optimization. My group provides actionable insights from the perspective of this foundational field to innovate multiple domains including Machine Learning, Deep Learning, Online Learning, Learning in Games, and Networked/Distributed Decision-Making. In doing so, our group designs efficient algorithms with mathematical guarantees to render practical deployment of learning-based systems possible under a variety of considerations such as limited resources, robustness, and adversarial behaviors. Recent applications include Federated Learning, Medical Image Analysis, NextG Manufacturing, and Cyber-Physical Systems. (see the Research tab for more details and the Publication tab or my Google Scholar page for a complete list of my papers).
For the full list of news please check the News tab.
Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes, Conference on Uncertainty in Artificial Intelligence (UAI), 2024.
Unveiling Privacy, Memorization, and Input Curvature Links, International Conference on Machine Learning (ICML), 2024
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data, The Conference on Neural Information Processing Systems (NeurIPS), 2023.
Faster Non-Convex Federated Learning via Global and Local Momentum, The 2022 Conference on Uncertainty in Artificial Intelligence (UAI), 2022.
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent, The 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022.
For the full list of publications please check the Publication tab.