Research Areas

Overview

I am generally interested in network information theory, physical layer security, machine learning, and deep learning. During my Ph.D., I focused on constant-gap capacity approximations with deterministic models, interference alignment techniques for multi-user networks, and physical layer security. My current work is centered on machine learning applications for wireless communication, efficient mutual information estimation, high-dimensional statistics, and alternative security metrics.