CAIT 2023 | 4th International Conference on Computers and Artificial Intelligence Technologies

Keynote Speaker I

Prof. Qing Li
The Hong Kong Polytechnic University, Hong Kong, China

Prof. Qing Li is currently a Chair Professor (Data Science) and the Head of the Department of Computing, the Hong Kong Polytechnic University. Formerly, he was the founding Director of the Multimedia software Engineering Research Centre (MERC), and a Professor at City University of Hong Kong where he worked in the Department of Computer Science from 1998 to 2018. Prior to these, he has also taught at the Hong Kong University of Science and Technology and the Australian National University (Canberra, Australia). Prof. Li served as a consultant to Microsoft Research Asia (Beijing, China), Motorola Global Computing and Telecommunications Division (Tianjin Regional Operations Center), and the Division of Information Technology, Commonwealth Scientific and Industrial Research Organization (CSIRO) in Australia. He has been an Adjunct Professor of the University of Science and Technology of China (USTC) and the Wuhan University, and a Guest Professor of the Hunan University (Changsha, China) where he got his BEng. degree from the Department of Computer Science in 1982. He is also a Guest Professor (Software Technology) of the Zhejiang University (Hangzhou, China) -- the leading university of the Zhejiang province where he was born. Prof. Li has been actively involved in the research community by serving as an associate editor and reviewer for technical journals, and as an organizer/co-organizer of numerous international conferences. Some recent conferences in which he is playing or has played major roles include APWeb-WAIM'18, ICDM 2018, WISE2017, ICDSC2016, DASFAA2015, U-Media2014, ER2013, RecSys2013, NDBC2012, ICMR2012, CoopIS2011, WAIM2010, DASFAA2010, APWeb-WAIM'09, ER'08, WISE'07, ICWL'06, HSI'05, WAIM'04, IDEAS'03,VLDB'02, PAKDD'01, IFIP 2.6 Working Conference on Database Semantics (DS-9), IDS'00, and WISE'00. In addition, he served as a programme committee member for over fifty international conferences (including VLDB, ICDE, WWW, DASFAA, ER, CIKM, CAiSE, CoopIS, and FODO). He is currently a Fellow of IEEE and IET/IEE, a member of ACM-SIGMOD and IEEE Technical Committee on Data Engineering. He is the chairperson of the Hong Kong Web Society, and also served/is serving as an executive committee (EXCO) member of IEEE-Hong Kong Computer Chapter and ACM Hong Kong Chapter. In addition, he serves as a councilor of the Database Society of Chinese Computer Federation (CCF), a member of the Big Data Expert Committee of CCF, and is a Steering Committee member of DASFAA, ER, ICWL, UMEDIA, and WISE Society.

Keynote Speaker II

Prof. Xizhao Wang
Shenzhen University, China

Prof. Xizhao Wang was a Research Fellow in the Hong Kong Polytechnic University until 2001 after receiving his doctorate degree in 1998. He served as the Dean of Computer Sciences College in Hebei University, China from 2000 to 2014. In 2014, he joined Shenzhen University, China as a professor and a director of the Big Data Institute. Dr. Wang’s current research interests include uncertainty-aware machine learning and big data analysis. He pioneered the research on Machine Learning in uncertain environment. His research highlights can be briefly summarized as, digging the distribution of (big) data by modeling uncertainty, and then using distributed parallel technology to design and implement classification and clustering algorithms for different tasks in cybernetics. He published several monographs and textbooks, and over 280 research papers at conferences and in journals in the above topics. His works have been cited 11,675 times since 2016 according to Google scholar. He was selected as a Highly Cited Researcher by Clarivate in 2019 and 2020, in recognition of exceptional research performance demonstrated by production of multiple highly cited papers that rank in the cross-field top 1%. Dr. Wang was a recipient of the Outstanding Contribution Award in 2004 and the Best Associate Editor Award in 2006 from the IEEE SMCS Society. He served as a member of the Governing Boards in the IEEE SMC Society (2007-2009, 2012-2014). He is an IEEE Fellow (2012), a CAAI Fellow (2017), and the Editor-in-Chief of Springer Journal Machine Learning and Cybernetics (from 2010 to present).

Keynote Speaker III

Prof. Qingfu Zhang
City University of Hong Kong, Hong Kong, China

Prof. 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. He is currently leading the Metaheuristic Optimization Research (MOP) 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. MOEA/D, a multiobjective optimization algorithm developed in his group, won the Unconstrained Multiobjective Optimization Algorithm Competition at the Congress of Evolutionary Computation 2009, and 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.

Keynote Speaker IV

Prof. Guoliang Xing
The Chinese University of Hong Kong, Hong Kong, China

Prof. Guoliang Xing received the B.S. and M.S degrees from Xi’an Jiao Tong University, China, in 1998 and 2001, and the D.Sc. degree from Washington University in St. Louis, in 2006. He is currently a Professor in the Department of Information Engineering, the Chinese University of Hong Kong. Previously, he was a faculty member at City University of Hong Kong and Michigan State University, U.S.

Professor Xing’s research lies at the intersection between systems, embedded AI, data/information processing algorithms, and domain sciences, with a focus on interdisciplinary applications in health, environment, and energy. His research group develops new technologies at the frontier of mobile health, Cyber-Physical Systems (CPS), Internet of Things (IoT), wireless networks, security and privacy. Several mobile health technologies developed in his lab have won several Best App Awards at the MobiCom conference and been successfully transferred to the industry. Prof. Xing led the development of several large-scale cyber physical systems, including 20+ seismic monitoring systems that were field tested and deployed on two live volcanoes in South America. Since 2006, he has been awarded 2 Hong Kong CERG grants and 10 US NSF grants (8 as PI), including 4 large multi-institute grants from major NSF interdisciplinary programs on smart health, Cyber Physical Systems, and sustainability.

Prof. Xing is currently an Editor for ACM Transactions on Sensor Networks (TOSN), and has served as the Steering Committee member, General Chair, and TPC Co-Chair of several international conferences including IPSN – the IEEE/ACM’s premier conference on information processing in sensor systems, and RTSS – the IEEE’s premier conference on real-time systems.

He received the Withrow Distinguished Scholar Award from Michigan State University in 2014 and the Faculty Early Career Development (CAREER) Award from the US National Science Foundation in 2010. His group received two Best Paper Awards and five Best Paper Nominations from prestigious international conferences including ICNP, IPSN, and PerCom.

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