Invited Speakers

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Invited Speaker I

Assoc. Prof. Xianfeng Li, International Institute of Next-Generation Internet (IINGI), Macau University of Science and Technology, China

Xianfeng Li is an Associate Professor at Macau University of Science and Technology (MUST). His research interests include high-performance networking, hardware/software co-design, Internet of Things (IoT) and Artificial Intelligence of Things (AIoT). He received his Ph.D. in Computer Science from The National University of Singapore (NUS). Before joining MUST, he has been an associate professor at Peking University Shenzhen Graduate School. He has published over 60 research papers on international conferences/journals, including IEEE Transactions on Computers (TC), IEEE Journal on Selected Areas in Communications (JSAC), ACM/IEEE Design Automation Conference (DAC), Elsevier Computer Network, IEEE INFOCOM, Springer Journal of Supercomputing. In addition, he has broadened his research impact by providing open-source research tools which are now in wide use.

Invited Speaker II

Assoc. Prof. Zhi Zheng, University of Electronic Science and Technology of China, China

Zhi Zheng was born in Sichuan, China, on April 5, 1980. He received the M.S. and Ph.D. degrees in electronic engineering (EE) from the University of Electronic Science and Technology of China (UESTC), Chengdu
611731, China, in 2007 and 2011, respectively. Since Aug. 2011 he has been with the School of Communication and Information Engineering, UESTC. From Jul 2014 to Jul 2015, he was an academic visitor in the Department of Electrical and Electronic Engineering at Imperial College London (ICL). He is currently an associate professor with the School of Communication and Information Engineering, UESTC. His area of interests includes wireless communications, signal processing for communications, array signal processing including adaptive beamforming, direction-of-arrival esti-mation and source localization, array processing for radar, communications applications, compressed sensing and sparse modeling.