Prof. Pingzhi Fan
Southwest Jiaotong University, China
Bio: Pingzhi Fan (IEEE Fellow) received his PhD degree in Electronic Engineering from the Hull University, UK, in 1994. He is currently a distinguished professor and director of the institute of mobile communications, Southwest Jiaotong University, China. He is a recipient of the UK ORS Award (1992), the NSFC Outstanding Young Scientist Award (1998), IEEE VTS Jack Neubauer Memorial Award (2018), and IEEE Signal Processing Society Paper Award (2019). His current research interests include vehicular communications, massive multiple access and coding techniques, etc. He has published over 300 international journal papers and 8 books (incl. edited). He is an IEEE VTS Distinguished Speaker (2019.7-2022.6), and a fellow of IEEE, IET, CIE and CIC.
Speech Title: Recent Advances in Signal Design for Joint Radar-Communication Systems
Prof. Mohamed-Slim Alouini
Computer, Electrical, and Mathematical Science and Engineering (CEMSE) Division
King Abdullah University of Science and Technology (KAUST), Saudi Arabia
Bio: Mohamed-Slim Alouini was born in Tunis, Tunisia. He received the Ph.D. degree in Electrical Engineering from the California Institute of Technology (Caltech) in 1998. He served as a faculty member at the University of Minnesota then in the Texas A&M University at Qatar before joining in 2009 the King Abdullah University of Science and Technology (KAUST) where he is now a Distinguished Professor of Electrical and Computer Engineering. Prof. Alouini is a Fellow of the IEEE and of the OSA. He is currently particularly interested in addressing the technical challenges associated with the uneven distribution, access to, and use of information and communication technologies in far-flung, rural, low-density populations, low-income, and/or hard-to-reach areas.
Speech Title: Towards Connecting the Remaining 3+ Billion
Abstract: It goes without saying that we suffer from severe gaps in global internet connectivity. We tend indeed to forget that we still have about half of the world population (or about 4 billion people) without boroadband connectivity. And it is expected that 5G (in it current initial deployment stages) will further accentuate this connectivity divide. Actually, the Covid 19 pandemic also showed that the connectivity divide is in a way becoming one of the modern faces of inequality, deepening the economic and social unbalances between the ‘Haves’ and ‘Have Nots’ in a digital context. To achieve digital inclusiveness, we need to develop and deploy new technological solutions that help connecting the unconnected/under-connected in an affordable fashion. In this context, this talk aims to (i) provide an envisioned picture of 6G, (ii) serve as a research guideline in the beyond 5G era, and (iii) go over the recently proposed solutions to provide high-speed connectivity in under-covered areas in order to serve and contribute to the development of far-flung regions.
Prof. Rahim Tafazolli
Head of the Institute for Communication Systems (ICS)
University of Surrey, United Kingdom
Bio: Rahim Tafazolli (Senior Member, IEEE) has been a Professor of mobile and satellite communications, since April 2000, the Director of ICS, since January 2010, and the Founder and the Director of the 5G Innovation Centre, University of Surrey, U.K. In 2011, he was appointed as a Fellow of the Wireless World Research Forum (WWRF) in recognition of his personal contributions to the wireless world and heading one of Europe leading research groups. He was an Advisor to the Mayor of London in regard to the London Infrastructure Investment 2050 Plan, from May 2014 to June 2014. He has over 25 years of experience in digital communications research and teaching. He has authored and coauthored more than 500 research publications. He is a co-inventor of more than 30 granted patents, all in the field of digital communications. He is regularly invited by many governments for advice on 5G technologies.
Prof. Ce Zhu
University of Electronic Science and Technology of China, China
Bio: Ce Zhu is currently a Professor with the School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China. His research interests include image/video coding and communications, 3D video, visual analysis and understanding, visual perception and applications. He has served on the editorial boards of a few journals, including as an Associate Editor of IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Broadcasting, IEEE Signal Processing Letters, and IEEE Communications Surveys and Tutorials. He has also served as a Guest Editor of a few special issues in international journals, including as a Guest Editor in the IEEE Journal of Selected Topics in Signal Processing. He is a Fellow of the IEEE, and an IEEE CASS Distinguished Lecturer (2019-2020).
Prof. Lingyang Song
Peking University, China
Bio: Lingyang Song received his BS from Jilin University, China, and PhD from the University of York, UK, where he received the K. M. Stott Prize for excellent research. He worked as a research fellow at the University of Oslo, Norway until rejoining Philips Research UK in March 2008. In May 2009, he joined the School of Electronics Engineering and Computer Science, Peking University, and is now a Boya Distinguished Professor. He is the co-author of a number of best paper awards, including IEEE Communications Society Heinrich Hertz Award in 2021, IEEE ComSoc Leonard G. Abraham Prize in 2016, IEEE ICC in 2014, IEEE ICC in 2015, IEEE Globecom in 2014. He has served as a Distinguished Lecturer of IEEE Communications Society, an Area Editor of IEEE Transactions on Vehicular Technology, an Editor of IEEE Transactions on Communications. He is a Fellow of IEEE, and a Clarivate Analytics Highly Cited Researcher.
Speech Title: Towards Connecting the Remaining 3+ Billion
Abstract: Intelligent MetaMaterial recently stands out as a novel approach to improve the quality of communication links. The talk will provide the state-of-the-art of research on meta-surface assisted sensing and communications from the perspectives of physical, MAC, network, and application layers. It focuses on two main types of meta-surface based applications, i.e., cellular communications and RF sensing. It will discuss the meta-surface hardware design as well as machine learning techniques for different sensing applications. Technical issues related to communications will also be addressed including beamforming scheme design, phase shift optimization, and MAC layer protocol design.