Heterogeneous networks

Wireless Network Intelligence @ the Edge

Dr. Mehdi Bennis, Associate Professor, Centre for Wireless Communications, University of Oulu

Jul 8, 11:00 - 12:00

B1 L3 R3119

machine learning game theory Heterogeneous networks

In just a few years, breakthroughs in machine learning (ML) and particularly deep learning have transformed every aspects of our lives from face recognition, medical diagnosis, and natural language processing. This progress has been fueled mainly by the availability of more data and more computing power. However, the current premise in classical ML is based on a single node in a centralized and remote data center with full access to a global dataset and a massive amount of storage and computing, sifting through this data for inference.

Laila Hesham Afify

Postdoctoral Research Fellow (former), Electrical and Computer Engineering

Stochastic Geometry Heterogeneous networks Self-organizing Networks Intelligent Transportation Systems Signal processing for Wireless Networks

Postdoctoral Research Fellow Electrical and Computer Engineering (KAUST), Assistant Professor, School of Engineering and Applied Sciences, Nile University, Egypt