Professor Georgios Giannakis

Project Title: 
Learning From Big Data and Network Science

This group’s research interests span the areas of communications, networking, and statistical signal processing. Current research focuses on large-scale machine learning, sparsity in signals and systems, wireless cognitive radios, mobile ad hoc networks, wireless sensors, renewable energy, power grids, and gene-regulatory, brain, and social networks. Supercomputing resources are required for the numerical tests involved to corroborate the proposed algorithms in these research areas.

Project Investigators

Professor Georgios Giannakis
Vasileios Georgios Karanikolas
Konstantinos Polyzos
Alireza Sadeghi
Tong Stone
Panagiotis Traganitis
Yilang Zhang
 
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