I am an Assistant Professor at The Elmore Family School of Electrical and Computer Engineering at Purdue University and the director of MINDS lab. 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.
Multiple openings for motivated students with strong mathematical and programming backgrounds. Check MINDS for details
My research interests include:
The goal of my research is to enhance the performance and capabilities of the networked systems characterized by limited communication budget and data scarcity. In doing so, I design efficient algorithms with mathematical guarantees to render practical deployment of multi-agent systems possible in applications including computer vision, supervised learning, self-supervised learning, bioinformatics, and dynamical systems (see the Research tab for more details and the Publication tab for a complete list of my papers).
For the full list of news please check the News tab.
No-Regret Learning with High-Probability in Adversarial Markov Decision Processes, Conference on Uncertainty in Artificial Intelligence (UAI), July 2021.
Generalization Bounds for Sparse Random Feature Expansions, Preprint, March 2021
Faster Non-Convex Federated Learning via Global and Local Momentum, Preprint, Feb. 2021
Submodular Observation Selection and Information Gathering for Quadratic Models, International Conference on Machine Learning (ICML), June 2019.
Evolutionary Self-Expressive Models for Subspace Clustering, IEEE Journal of Selected Topics in Signal Processing, Dec. 2018.
For the full list of publications please check the Publication tab.