Prof. David Zhang   

IEEE Life Fellow and IAPR/AAIA Fellow

Chinese University of Hong Kong(Shenzhen), China

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 a Distinguished 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 the Founders, International Journal of Image and Graphics (IJIG) and Springer International Series on Biometrics (KISB); Organizer, the first International Conference on Biometrics Authentication (ICBA); Associate Editor of more than ten international journals including IEEE Transactions and so on. Over past 40 years, he have 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, 500 international journal papers and 40 patents from USA/Japan/China. He has been continuously listed as a Highly Cited Researchers in Engineering by Clarivate Analytics (formerly known as Thomson Reuters) for consecutive 8 years (2014-2021) (http://highlycited.com). He is also ranked about 85 with H-Index 123 at Top 1000 Scientists for international Computer Science and Electronics in 2021. Professor Zhang is a Croucher Senior Research Fellow, Distinguished Speaker of the IEEE Computer Society, and Fellows of both Royal Societ of Canada and Canadian Academy of Engineering, as well as IEEE Life Fellow and IAPR/AAIA Fellow.

Prof. Guoyin Wang

Chongqing Normal University, President China 

Guoyin Wang (Senior Member, IEEE) received the bachelor' s degree in computer software, the master’s degree in computer software, and the Ph.D. degree in computer organization and architecture from Xi’an Jiaotong University, Xi’an, China, in 1992, 1994, and 1996, respectively. He is currently serving as the president of Chongqing Normal University. He served or is currently serving on the program committees of many international conferences and workshops, as program committee member, program chair or co-chair.  He has authored over 200 reviewed research publications. His books and papers have been cited over 6000 times. His research interests include data mining, machine learning, and pattern recognition.

Prof. Fenghuchun Tian

Chongqing University, China

Prof. Fenghuchun Tian serves as a Ph.D. supervisor in the School of Electronics and Communication Engineering at Chongqing University, as well as an adjunct professor and graduate advisor at the University of Guelph, Canada. He was born in Chongqing, P.R. China, February, 1963. A supervisor for Ph.D. students, professional assessor of National Science Fund of China, Excellent Backbone Teacher of Universities in Chongqing City, “Cross-century Academic Backbone Youth” of Chongqing University. He was recognized as one of the Outstanding Young and Middle-aged Backbone Teachers in higher education in Chongqing in 2009, and in 2019, he was selected as an Academic and Technical Leader in the field of Information and Communication Engineering in Chongqing. In 2020, he received the award for Outstanding Scientific and Technological Worker from the Chinese Institute of Electronics. His research interests are signal and information processing: gas sensing, intelligent algorithms, machine learning, wavelet theory and its application, fractal and chaos, electronic nose/machine olfaction for odor detection.