We have two interesting Distinguished Lectures coming up on 29 and 30 August. All are welcome to attend! There are no registration requirements. Please forward to anyone that you think might be interested.
Warwick University, 29 August, 2pm
First, furthering the seminars series by the prestigious speaker and IEEE VTS Distinguished Lecturer Prof. Mohamed-Slim Alouini, he will be talking on the topic of light propagation for underwater wireless communications on 29 August, at 2pm, at Warwick University.
A Handout for the seminar is here.
Title: Collimated light propagation: The next frontier in underwater wireless communication.
Abstract: Traditional underwater communication systems rely on acoustic modems due their reliability and long range. However their limited data rates, lead to the exploration of alternative techniques. In this talk, we briefly go over the potential offered by underwater wireless optical communication systems. We then summarizes some of the underwater channel challenges going from severe absorption and scattering that need to be surpassed before such kind of systems can be deployed in practice. We finally present some of the on-going research directions in the area of underwater wireless optical communication systems in order to (i) better characterize and model the underwater optical channel and (ii) design, develop, and test experimentally new suitable modulation and coding techniques suitable for this environment.
Biography: Mohamed-Slim Alouini was born in Tunis, Tunisia. He received the Ph.D. degree in Electrical Engineering from the California Institute of Technology (Caltech), Pasadena, CA, USA, in 1998. He served as a faculty member in the University of Minnesota, Minneapolis, MN, USA, then in the Texas A&M University at Qatar, Education City, Doha, Qatar before joining King Abdullah University of Science and Technology (KAUST), Thuwal, Makkah Province, Saudi Arabia as a Professor of Electrical Engineering in 2009.
This lecture will be in room A401 in the Engineering Building.
University College London, 30 August, 11am
Second, the esteemed Distinguished Lecturer Prof. Geoffrey Li, GeorgiaTech, will be speaking on deep learning for physical layer communications. The lecture will be at 11am in the Barlow Room, 8th floor of Roberts Building (see here and here).
Title: Deep Learning in Physical Layer Communications.
Abstract: Recent research has demonstrated that machine learning (DL) has great potentials to break the bottleneck of communication systems. This presentation introduces our recent work in DL in physical layer communications. DL can improve the performance of each individual (traditional) module in communication systems or optimize the whole transmitter or receiver. Therefore, we can categorize the applications of DL in physical layer communications into with and without block processing structures. For DL based communication systems with block structures, we present a couple of examples in channel estimation and signal detection. For those without block structures, we provide our recent endeavors in developing end-to-end learning communication systems. At the end of the talk, we discuss some potential research directions in the area.
Biography: Dr. Geoffrey Li is a Professor with the School of Electrical and Computer Engineering at Georgia Institute of Technology. He was with AT&T Labs – Research for five years before joining Georgia Tech in 2000. His general research interests include wireless communications and statistical signal processing. In these areas, he has published over 400 referred journal and conference papers in addition to over 40 granted patents. His publications have been cited by over 32,000 times and he has been listed as the World’s Most Influential Scientific Mind, also known as a Highly-Cited Researcher, by Thomson Reuters almost every year. He has been an IEEE Fellow since 2006. He received 2010 IEEE ComSoc Stephen O. Rice Prize Paper Award, 2013 IEEE VTS James Evans Avant Garde Award, 2014 IEEE VTS Jack Neubauer Memorial Award, 2017 IEEE ComSoc Award for Advances in Communication, and 2017 IEEE SPS Donald G. Fink Overview Paper Award. He also won the 2015 Distinguished Faculty Achievement Award from the School of Electrical and Computer Engineering, Georgia Tech.