Keynote Speakers

Prof. Kwang-Cheng Chen
IEEE Fellow
University of South Florida, USA

Kwang-Cheng Chen has been a Professor at the Department of Electrical Engineering, University of South Florida, since 2016. From 1987 to 2016, Dr. Chen worked with SSE, Communications Satellite Corp., IBM Thomas J. Watson Research Center, National Tsing Hua University, HP Labs., and National Taiwan University in mobile communications and networks. He visited TU Delft (1998), Aalborg University (2008), Sungkyunkwan University (2013), and Massachusetts Institute of Technology (2012-2013, 2015-2016). 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, 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 350 IEEE publications, 4 books published by Wiley and River (most recently, Artificial Intelligence in Wireless Robotics, 2020), and more than 26 granted US patents. Dr. Chen is an IEEE Fellow, AAIA 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, and paper awards in conferences. Dr. Chen’s current research interests include quantum communications and computing, wireless networks, multi-agent systems and social networks, and cybersecurity.

Speech Title: Quantum Computations – Architecture and Implementation
Quantum entanglement that puzzled great minds like Einstein enables recent advances in quantum computers, computations, and various quantum information systems. In this talk, we will introduce the difference of logic implementation between quantum and classic computing, and then quantum gate-based computing architecture and adiabatic quantum computation while taking fault-tolerance into consideration. Quantum neural networks will be introduced to further illustrate unique aspects of quantum computations, technological advantages, and technical challenges. Quantum computations have been successfully applied to some computational problems that were not possible before, such as molecular biology, cancer research, and precision medicine. In addition, noisy and intermediate-scale quantum (NISQ) information systems will be introduced by incorporating fault-tolerant mechanisms.