Seminar on January 29, 2020

Title

Learning in the 5G Edge Cloud.

Speaker

Prof. Sergio Barbarossa, La Sapienza University of Rome

When and Where

January 29, 2020, 15:00-17:00
Engineering Teaching Building, room B15

Abstract

In this talk, we will start reviewing the basic motivations and enabling technologies underlying 5G networks. Then we will focus on the mobile edge cloud architecture and motivate the need for a holistic view of communication, computation and caching to meet stringent service delay constraints. We will present adaptive computation and communication scheduling mechanisms based on stochastic optimization, running in an environment affected by various sources of uncertainty. Finally, we will present various learning techniques, with a specific attention to methods based on topological representations able to capture multiway relations among the data.

Speaker’s Short Bio

Sergio Barbarossa is a Full Professor at Sapienza University of Rome and a Senior Research Fellow of the Sapienza School for Advanced Studies. After graduating at Sapienza Univ. of Rome, he worked with Selenia SpA from 1984 to 1986. He has held several visiting positions at the Environmental Research Institute of Michigan (’88), Univ. of Virginia (’95, ‘97), Univ. of Minnesota (’99). He is an IEEE Fellow, a EURASIP Fellow and he served as an IEEE Distinguished Lecturer. He received the 2010 Technical Achievements Award from the EURASIP society for his contributions on radar, communication and networks. He won the IEEE Best Paper Awards from the IEEE Signal Processing Society for the years 2000 and 2014. He has been the scientific coordinator of several European projects on wireless sensor networks, small cell networks, and distributed mobile cloud computing. He is currently one of the PI’s of the H2020 EU/Taiwan Project 5G-Conni, targeting the development of 5G private networks for Industry 4.0. His research interests include topological signal processing, graph-based machine learning algorithms, stochastic optimization, 5G networks and mobile edge computing.