2022 Keynote Speakers

 

 

 

Keynote Speaker 1:

Prof. Yuhui Shi 史玉回教授

IEEE Fellow
Chair Professor in the Department of Computer Science and Engineering

Southern University of Science and Technology, China

 

Speech Title: TBA

 

Biography: Yuhui Shi received the Ph.D. degree in electronic engineering from Southeast University, Nanjing, China, in 1992. He is a chair professor in the Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China. He is a Fellow of the IEEE. His main research interests include the areas of computational intelligence techniques (including swarm intelligence) and their applications. Dr. Shi is the Editor-in-Chief of the International Journal of Swarm Intelligence Research.

     
 

Keynote Speaker 2:

Prof. Chengzhong Xu 须成忠教授

IEEE Fellow

Chair Professor of Computer and Information Science

Dean of Faculty of Science and Technology

University of Macau, Macau, China

 

Speech Title: TBA

 

Biography: Dr. Cheng-Zhong Xu, IEEE Fellow, is the Dean of Faculty of Science and Technology and the Interim Director of Institute of Collaborative Innovation, University of Macau, and a Chair Professor of Computer and Information Science. He was a professor of Wayne State University and the Director of Institute of Advanced Computing of Shenzhen Institutes of Advanced Technologies, Chinese Academy of Sciences before he joined UM in 2019. Dr. Xu is a Chief Scientist of Key Project on Smart City of MOST, China and a Principal Instigator of the Key Project on Autonomous Driving of FDCT, Macau SAR.

Dr. Xu’s main research interests lie in parallel and distributed computing and cloud computing, in particular, with an emphasis on resource management for system’s performance, reliability, availability, power efficiency, and security, and in big data and data-driven intelligence applications in smart city and self-driving vehicles. The systems of particular interest include distributed systems and the Internet, servers and cloud datacenters, scalable parallel computers, and wireless embedded devices and mobile edge systems. He published two research monographs and more than 300 peer-reviewed papers in journals and conference proceedings; his papers received over 10K citations with an H-index of 57. He was a Best Paper Nominee or Awardee of the 2013 IEEE High Performance Computer Architecture (HPCA), the 2013 ACM High Performance Distributed Computing (HPDC), IEEE Cluster’2015, ICPP’2015, GPC’2018, UIC’2018, AIMS’2019. He also received more than 100 patents or PCT patents and spun off a business “Shenzhen Baidou Applied Technology” with dedication to location-based services and technologies. Dr. Xu received the most prestigious “President’s Awards for Excellence in Teaching” of Wayne State University in 2002.

He serves or served on a number of journal editorial boards, including IEEE Transactions on Computers (TC), IEEE Transactions on Cloud Computing (TCC), IEEE Transactions on Parallel and Distributed Systems (TPDS), Journal of Parallel and Distributed Computing (JPDC), Science China: Information Science and ZTE Communication. Dr. Xu has been the Chair of IEEE Technical Committee on Distributed Processing (TCDP) from 2015 to 2020. He obtained BSc and MSc degrees from Nanjing University in 1986 and 1989 respectively, and a PhD degree from the University of Hong Kong in 1993, all in Computer Science and Engineering.

     
 

Keynote Speaker 3:

Prof. Hui Xiong 熊辉教授

Fellow of AAAS and IEEE

ACM Distinguished Scientist

Distinguished Professor

Rutgers, the State University of New Jersey, USA


Speech Title: TBA

 

Biography: Dr. Hui Xiong received his Ph.D. in Computer Science from the University of Minnesota - Twin Cities, USA, in 2005, the B.E. degree in Automation from the University of Science and Technology of China (USTC), Hefei, China, and the M.S. degree in Computer Science from the National University of Singapore (NUS), Singapore. He is currently a Distinguished Professor at Rutgers, the State University of New Jersey, where he received the 2018 Ram Charan Management Practice Award as the Grand Prix winner from the Harvard Business Review, RBS Dean's Research Professorship (2016), two-year early promotion/tenure (2009), the Rutgers University Board of Trustees Research Fellowship for Scholarly Excellence (2009), the ICDM-2011 Best Research Paper Award (2011), the Junior Faculty Teaching Excellence Award (2007), Dean's Award for Meritorious Research (2010, 2011, 2013, 2015) at Rutgers Business School, the 2017 IEEE ICDM Outstanding Service Award (2017), and the AAAI-2021 Best Paper Award (2021). Dr. Xiong is also a Distinguished Guest Professor (Grand Master Chair Professor) at the University of Science and Technology of China (USTC). For his outstanding contributions to data mining and mobile computing, he was elected an ACM Distinguished Scientist in 2014, an IEEE Fellow and an AAAS Fellow in 2020.

 

Dr. Xiong's general area of research is data and knowledge engineering, with a focus on developing effective and efficient data analysis techniques for emerging data intensive applications. His research has been supported in part by the National Science Foundation (NSF), IBM Research, SAP Corporation, Panasonic USA Inc., Awarepoint Corp., Citrix Systems Inc., and Rutgers University. He has published prolifically in refereed journals and conference proceedings, such as IEEE Transactions on Knowledge and Data Engineering, the VLDB Journal, INFORMS Journal on Computing, Machine Learning, IEEE Transactions on Mobile Computing (TMC) , and ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). His book, titled "Encyclopedia of GIS", has been recognized as the Top 10 Most Popular Computer Science Book authored by Chinese Scholars at Springer.

 

Dr. Xiong currently serves as a co-Editor-in-Chief of Encyclopedia of GIS (Springer) and an Associate Editor of IEEE Transactions on Data and Knowledge Engineering (TKDE), IEEE Transactions on Big Data (TBD), ACM Transactions on Knowledge Discovery from Data (TKDD) and ACM Transactions on Management Information Systems (TMIS). He has served regularly on the organization and program committees of numerous conferences, including as a Program Co-Chair of the Industrial and Government Track for the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), a Program Co-Chair for the IEEE 2013 International Conference on Data Mining (ICDM), a General Co-Chair for the IEEE 2015 International Conference on Data Mining (ICDM), and a Program Co-Chair of the Research Track for the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2018) .

 

Dr. Xiong has been interviewed and quoted by local, national and international media, such as Forbes, Xinhua News Agency, and the Wall Street Journal. Also, the Economist has featured his research work for crime prevention in 2016 (Economist Article Title: Cutpurse capers). Moreover, his pioneer work on talent analytics has been featured by the Harvard Business Review.

     
 

Keynote Speaker 4:

Prof. Shuanghua Yang 杨双华教授

IET Fellow, SMIEEE, the Vice Dean for Academic Affairs of Graduate School,

Chair Professor in the Department of Computer Science and Engineering

Southern University of Science and Technology, China

 

Speech Title: TBA

 

Biography: Shuanghua Yang, graduated from the Department of Chemical Engineering, Zhejiang University in 1991, used to be the Head of Department of Computer Science and a chair professor at Loughborough University in the United Kingdom and is currently a professor at Southern University of Science and Technology, China. He is mainly engaged in the research of cyber-physical system information security, functional safety and emergency response, and has achieved a series of pioneering results in remote monitoring, accident monitoring, massive information processing, and control system safety based on the intelligent Internet of Things. In 2010, he won the InstMC Honeywell Award. In 2014, he was elected as an IET Fellow. In the same year, he was awarded the Doctor of Science (DSc) symbolizing the "Lifetime Achievement Award".

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