Theoretical foundations of dynamic networks, with focus on the interplay between communication (network information theory), computing (graph algorithms), and learning (graph neural networks).
Theoretical understanding of deep learning, with focus on regularization/generalization, spectral methods, and robustness/resilience.
B5G/6G Wireless Communications
Optimization and Machine Learning for Massive MIMO
Terahertz Massive MIMO Communications: Theory and Algorithms
March 2021 - March 2023