Keynote&Plenary Speakers/特邀报告专家

IEEE and IAPR Fellow, Prof. David Zhang, Chinese University of Hong Kong (Shenzhen), China

Speech Title: Computational Intelligence and its Biometrics Application (Click here for abstract)

 

Biography: David Zhang graduated in Computer Science from Peking University. He received his MSc in 1982 and his PhD in 1985 in both Computer Science from the Harbin Institute of Technology (HIT), respectively. From 1986 to 1988 he was a Postdoctoral Fellow at Tsinghua University and then an Associate Professor at the Academia Sinica, Beijing. In 1994 he received his second PhD in Electrical and Computer Engineering from the University of Waterloo, Ontario, Canada. He has been a Chair Professor at the Hong Kong Polytechnic University where he is the Founding Director of Biometrics Research Centre (UGC/CRC) supported by the Hong Kong SAR Government since 2005. Currently he is Presidential Chair Professor in Chinese University of Hong Kong (Shenzhen). He also serves as Visiting Chair Professor in Tsinghua University and HIT, and Adjunct Professor in Shanghai Jiao Tong University, Peking University, National University of Defense Technology and the University of Waterloo. He is both Founder and Editor-in-Chief, International Journal of Image & Graphics (IJIG) (http://www.worldscinet.com/ijig/ijig.shtml) and Springer International Series on Biometrics (KISB)(http://www.springer.com/series/6191); Organizer, the first International Conference on Biometrics Authentication (ICBA); and Associate Editor of more than ten international journals including IEEE Transactions and so on. Over past 30 years, he has been working on pattern recognition, image processing and biometrics, where many research results have been awarded and some created directions, including palmprint recognition, computerized TCM and facial beauty analysis, are famous in the world. So far, he has published over 20 monographs, 400 international journal papers and 40 patents from USA/Japan/HK/China. He has been continuously listed as a Highly Cited Researchers in Engineering by Clarivate Analytics (formerly known as Thomson Reuters) in 2014, 2015, 2016, 2017 and 2018, respectively(http://highlycited.com). He is also ranked about 80 with H-Index 107 at Top 1000 Scientists for international Computer Science and Electronics(http://www.guide2research.com/scientists). Professor Zhang is a Croucher Senior Research Fellow, Distinguished Speaker of the IEEE Computer Society, and a Fellow of both IEEE and IAPR.

IEEE Fellow, Prof. Shyi-Ming Chen, National Taiwan University of Science and Technology, Taiwan

Speech Title: Fuzzy Forecasting Based on Two-Factors High-Order Fuzzy Time Series (Click here for abstract)

 

Biography: Professor Shyi-Ming Chen received the Ph.D. degree in Electrical Engineering from National Taiwan University, Taipei, Taiwan, in June 1991. He is a Chair Professor in the Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. From August 2007 to July 2010, he was the Dean of the College of Electrical Engineering and Computer Science, Jinwen University of Science and Technology, New Taipei City, Taiwan. From August 2011 to July 2012, he was the Vice President of the National Taichung University of Education, Taichung, Taiwan. He was the President of the Taiwanese Association for Artificial Intelligence (TAAI) from January 2005 to January 2009. He was the President of the Taiwanese Association for Consumer Electronics (TACE) from December 2008 to December 2012 and from December 2014 to December 2016. He has published more than 500 papers in referred journals, conference proceedings and book chapters. His research interests include Fuzzy Systems, Intelligent Systems, Knowledge-Based Systems, Neural Networks, Data Mining, Information Retrieval, and Genetic Algorithms.

Professor Chen is an IEEE Fellow, an IET Fellow and an IFSA Fellow. He was a Distinguished Lecturer of the IEEE Systems, Man, and Cybernetics (SMC) Society from 2012 to 2015. He has received numerous honors and awards, including the 2001 Distinguished Talented Person Award, Republic of China, for Distinguished Contributions in Information Technologies, the 2002 Distinguished Electrical Engineering Professor Award granted by the Chinese Institute of Electrical Engineering (CIEE), Republic of China, and the 2008 Distinguished Engineering Professor Award granted by the Chinese Institute of Engineers (CIE), Republic of China. He was a 2014 Fellow Evaluation Committee Member of the IEEE Systems, Man, and Cybernetics Society.

Professor Chen is an Editor-in-Chief of the journal of Granular Computing (Published by Springer), an Associate Editor of the IEEE Transactions on Cybernetics, an Associate Editor of Information Sciences, an Editorial Board Member of Information Fusion, an Editorial Board Member of Applied Soft Computing, an Editorial Board Member of Applied Intelligence, an Associate Editor of the Journal of Intelligent & Fuzzy Systems, an Associate Editor of the International Journal on Artificial Intelligence Tools, an Associate Editor of the International Journal of Pattern Recognition and Artificial Intelligence, an Editor of New Mathematics and Natural Computation, an Associate Editor of the International Journal of Fuzzy Systems, an Associate Editor of the Journal of Information Science and Engineering, an Associate Editor of Fuzzy Optimization and Decision Making, an Editorial Board Member of Knowledge-Based Systems, and an Associate Editor of the International Journal of Innovative Computing, Information and Control. He was an Associate Editor of the IEEE Transactions on Fuzzy Systems, an Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics: Systems, an Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, an Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews, an Associate Editor of the IEEE Computational Intelligence Magazine, and an Editorial Board Member of Soft Computing.

Prof. Jack Yang, Trinity Financial Technologies CEO, China

Speech Title: Thoughts on Applications of Big Data

 

Biography: Dr. Yang is currently the Deputy Director of Beijing Institute of Big Data Research (BIBDR) and Deputy Director of the academic committee of National Engineering Laboratory for Big Data Analysis and Application.

Previously, Dr. Yang had a 18-year career on Wall Street, with Goldman Sachs, UBS and Credit Suisse.  He was Managing Director of Credit Suisse AG Global Markets Technology division, Global Co-Head of Credit Suisse AG Strategic Risk Technology, member of extended IT Management Committee, IT Americas Management Committee, and Risk Technology Management Committee.  Before that he was a Managing Director at UBS and a Vice President at Goldman Sachs.
Dr. Yang received his Ph.D. in Computer Science from Columbia University, M.S. in Computer Science from Loyola University of Chicago and B.S in Computer Science from University of Science and Technology of China.

Prof. Fei Wu, Zhejiang University, China

Speech Title: Big Data Intelligence: from Correlation Discovery to Casual Reasoning (Click here for abstract)

 

Biography: Fei Wu received his B.Sc., M.Sc. and Ph.D. degrees in computer science from Lanzhou University, University of Macau and Zhejiang University in 1996, 1999 and 2002 respectively. From October, 2009 to August 2010, Fei Wu was a visiting scholar at Prof. Bin Yu's group, University of California, Berkeley. Currently, He is a Qiushi distinguished professor of Zhejiang University at the college of computer science. He is the vice-dean of college of computer science, and the director of Institute of Artificial Intelligence of Zhejiang University. He is currently the Associate Editor of Multimedia System, the editorial members of Frontiers of Information Technology & Electronic Engineering. He has won various honors such as the Award of National Science Fund for Distinguished Young Scholars of China (2016). His research interests mainly include Artificial Intelligence, Multimedia Analysis and Retrieval and Machine Learning.