Prof. Kwang-Cheng Chen
Title: Future Wireless Networks for the Rising of Machines
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.
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.