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
Abraham Jaeger Mountain
Konstantinos Polyzos
Alireza Sadeghi
Tong Stone
Panagiotis Traganitis
Yilang Zhang
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