Keynote Spekaers

ARC Future Fellow, IEEE Fellow
Prof. Yonghui Li, the University of Sydney, Australia

Speech Title: 5G IoT Networks (Click for abstract)

Yonghui Li is a Professor and Director of Wireless Engineering Laboratory, in School of Electrical and Information Engineering, the University of Sydney. He is the recipient of the prestigious Australian Research Council (ARC) Queen Elizabeth II Fellowship in 2008 and ARC Future Fellowship in 2012. His current research interests are in the area of wireless communications, Internet of Things, Wireless networks, 5G and wireless AI. He participated in $500million Australian national Smart Grid Smart City project, the world first large-scale demonstration project. He has published more than 300 papers in IEEE journals and conferences. Several of his journal papers have been included in ESI highly cited papers. According to google scholar, his research works have been cited more than 12000 times. He is now an editor for IEEE Transactions on Communications, and IEEE Transactions on Vehicular Technology. He also served as a guest editor for several special issues of IEEE journals, such as IEEE JSAC special issue on Millimeter Wave Communications, IEEE Communications Magazine on Wireless AI, IEEE IoT Journal, IEEE Transactions on Industrial Informatics, IEEE Access. He received several best paper awards from IEEE International Conference on Communications (ICC) 2014, IEEE PIMRC 2017 and IEEE Wireless Days Conferences (WD) 2014.

IEEE Fellow
Prof. Chong-Yung Chi, National Tsing Hua University, Taiwan

Speech Title: Secrecy Energy Efficiency in Cognitive Radio Networks with Untrusted Secondary Users

Chong-Yung Chi received Ph.D. degree from the University of Southern California, Los Angeles, California, in 1983 all in Electrical Engineering. Currently, he is Professor of National Tsing Hua University, Hsinchu, Taiwan. He has published more than 240 technical papers, including more than 85 journal papers (mostly in IEEE Trans. Signal Processing), more than 140 peer-reviewed conference papers, 3 book chapters, and 2 books, including a recent textbook, Convex Optimization for Signal Processing and Communications from Fundamentals to Applications, CRC Press, 2017 (which has been popularly used in a series of invited intensive short courses at many top-ranking universities in Mainland China since 2010 before its publication). He received 2018 IEEE Signal Processing Society Best Paper Award, entitled “Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization,” IEEE Tran. Signal Processing, vol. 62, no. 21, Nov. 2014. His current research interests include signal processing for wireless communications, convex analysis and optimization for blind source separation, biomedical and hyperspectral image analysis, and graph signal processing.

He is an IEEE Fellow. He has been a Technical Program Committee member for many IEEE sponsored and co-sponsored workshops, symposiums and conferences on signal processing and wireless communications, including Co-organizer and General Co-chairman of 2001 IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC). He was an Associate Editor (AE) for four IEEE Journals, including IEEE Trans. Signal Processing for 9 years (5/2001~4/2006, 1/2012~12/2015), and he was a member of Signal Processing Theory and Methods Technical Committee (SPTM-TC) (2005-2010), a member of Signal Processing for Communications and Networking Technical Committee (SPCOM-TC) (2011-2016), and a member of Sensor Array and Multichannel Technical Committee (SAM-TC) (2013-2018), IEEE Signal Processing Society.

IEEE Fellow
Prof. Qingfu Zhang, City University of Hong Kong, Hong Kong

Qingfu Zhang is a Professor at the Department of Computer Science, City University of Hong Kong. His main research interests include evolutionary computation, optimization, neural networks, data analysis, and their applications. His MOEA/D has been one of most researched and used multiobjective evolutionary algorithmic framework. He is currently leading the Metaheuristic Optimization Research Group in City University of Hong Kong. Professor Zhang is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the IEEE Transactions Cybernetics. He was awarded the 2010 IEEE Transactions on Evolutionary Computation Outstanding Paper Award. He is on the list of the Thomson Reuters 2016 highly cited researchers in computer science. He is a fellow of IEEE.