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Keynotes

Prof. Kwang-Cheng Chen 

Title: Future Wireless Networks for the Rising of Machines

Bio:

Kwang-Cheng Chen is a Professor at the Department of Electrical Engineering, University of South Florida, since 2016. From 1987 to 2016, Dr. Chen worked with SSE, COMSAT, IBM Thomas J. Watson Research Center, National Tsing Hua University, HP Labs., and National Taiwan University in mobile communications and networks. He founded a wireless IC design company in 2001, which was acquired by MediaTek Inc. in 2004. He has been actively involving in the organization of various IEEE conferences and serving editorships with a few IEEE journals (most recently as a series editor on Data Science and AI for Communications in the IEEE Communications Magazine), together with various IEEE volunteer services to the IEEE, Communications Society, Vehicular Technology Society, and Signal Processing Society, such as founding the Technical Committee on Social Networks in the IEEE Communications Society. Dr. Chen also has contributed essential technology to various international standards, namely IEEE 802 wireless LANs, Bluetooth, LTE and LTE-A, 5G-NR, and ITU-T FG ML5G. He has authored and co-authored over 300 IEEE publications, 3 books published by Wiley and River, and more than 23 granted US patents. Dr. Chen is an IEEE Fellow and has received a number of awards including 2011 IEEE COMSOC WTC Recognition Award, 2014 IEEE Jack Neubauer Memorial Award, 2014 IEEE COMSOC AP Outstanding Paper Award. Dr. Chen’s current research interests include wireless networks, artificial intelligence and machine learning, IoT/CPS, social networks and data analytics, and cybersecurity.

Abstract:

Advances of artificial intelligence in computing and big data from Internet innovates new technology frontier toward autonomous vehicles, service robots, smart manufacturing, AIoT in addition to remarkable chess playing machines like AlphaZero. In this Rising of Machines, these intelligent machines are usually mobile or even with high mobility. When a large amount of intelligent mobile machines require reliable and safe operation, ultra-reliable and ultra-low latency communication emerges as a rarely known technological challenge to future wireless networks. A disruptive and systematic approach to establish such wireless networks beyond 5G will be introduced. The collective benefits of wireless communication to a number of intelligent mobile machines have been investigated to comprehend the interplay between machine learning and multiple access communication. Together with identified possibilities to apply machine learning or AI to wireless networks, evolution toward future wireless networks enabling tremendous amount of intelligent machines will be suggested, to realize the unbounded technological opportunities in future digital society.

Prof. Constantinos B. Papadias

Title: Spectrum Sharing and Interference Handling Techniques for Next Generation Wireless Networks

Bio:

Constantinos B. Papadias is the Scientific Director of Athens Information Technology (AIT), in Athens, Greece, where he is also Professor and Head of its Broadband Wireless and Sensor Networks (B-WiSE) Research Group. He is also an Adjunct professor at Aalborg University in Denmark. He received the diploma of electrical engineering from the National Technical University of Athens (NTUA) in 1991 and the doctorate degree in signal processing (highest honors) from the Ecole Nationale Supérieure des Télécommunications (ENST), Paris, France, in 1995. He was a researcher at Institut Eurécom (1992-1995), Stanford University (1995-1997) and Bell Labs (as a member of the technical staff from 1997-2001 and as technical manager from 2001-2006). He was also an adjunct professor at Columbia University (2004-2005) and Carnegie Mellon University (2006-2011). His research interests span several areas of advanced communication systems, with emphasis on wireless, cognitive, green and next-generation networks. He has published over 200 papers, one research monograph, two edited books, eight book chapters, and has received over 8,500 citations for his work. He has also made standards contributions and holds 12 patents. He was a member of the Steering Board of the Wireless World Research Forum (WWRF) from 2002-2006, a member and Industrial Liaison of the IEEE’s Signal Processing for Communications Technical Committee from 2003-2008 and a National Representative of Greece to the European Research Council’s IDEAS program from 2007-2008. He has served as member of the IEEE Communications Society’s Fellow Evaluation and Awards Committees, as well as an Associate Editor for the IEEE Transactions on Signal Processing, the IEEE Transactions on Wireless Communications and the Journal of Communications and Networks. He has participated in several European Commission research grants, in several of which in the role of technical / research coordinator, such as HARP in the area of remote radio heads, ADEL in the area of licensed shared access and the recently kicked-off Innovative Training Network (ITN) PAINLESS on the topic of energy autonomous wireless networks. He often acts as External Expert in various National funded projects, such as in the UK’s EPSRC program and in the Academy of Finland, where he recently joined a project on energy-efficient IoT networks. His distinctions include the Bell Labs President’s Award (2002); a Bell Labs Teamwork Award (2003); the IEEE Signal Processing Society’s Young Author Best Paper Award (2003); ESI’s “most cited paper of the decade” citation in the area of wireless networks (2006); his recognition as a “Highly Cited Greek Scientist” (2011); and the co-authorship of two papers that earned Best Student Paper Awards at the IEEE International Conference on Bioinformatics and BioEngineering (2013 & 2014). He was a Distinguished Lecturer of the IEEE Communications Society for 2012-2013. Dr. Papadias is a member of the Technical Chamber of Greece, a Fellow of IEEE and was recently named Fellow of the European Alliance for Innovation (EAI).

Abstract:

This talk addresses the topic of spectrum sharing and interference handling techniques as important enablers for next generation wireless networks of higher spectral efficiency than today. We will start with a discussion on the intertwining between spectrum sharing and interference handling techniques from a physical viewpoint, and how they both help increase spectral efficiency. Then we will present a review of the dominant spectrum sharing paradigms, from a regulatory point of view, as well as the corresponding system architectures and wireless communication techniques that enable it. Our interest will be on wireless networks of all scales, frequencies and mobility scenarios, ranging from cellular (both sub 6 GHz and above 6 GHz / mmWave) to sensor nodes to fixed wireless access to UAV-based networks, covering several vertical sectors of 5G networks and beyond.  The value of the so-called “spatial dimension,” enabled by the use of multiple antennas at wireless nodes of various kinds will be given particular attention. This is due to their ability to both improve the sharing of spectrum and reduce the effects of interference, as a result of the increased degrees of freedom that they offer. The talk will conclude with a number of experimental prototypes and demos that show how spectrum sharing and interference handling can benefit from a variety of novel techniques and devices.

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