The award ceremony for China’s highest prize in AI science and technology, the "Wu Wenjun AI Science & Technology Award", was held in Beijing. A total of 53 awarded projects and individuals were recognized and rewarded. Prof. Dapeng Zhang, from the School of Data Science won the Wu Wenjun AI Science & Technology Contribution Award for his continuous exploration and outstanding contributions in the field of artificial intelligence.

Professor Zhang is X.Q. Deng Presidential Chair Professor of School of Data Science in the Chinese University of Hong Kong, Shenzhen. He is a Fellow of both the Royal Society of Canada and the Canadian Academy of Engineering. Additionally, he is a Life Fellow of IEEE, and a Fellow of IAPR and AAIA.

He is recognized as the first Ph.D. in artificial intelligence trained in New China. For years, he has been dedicated to cutting-edge research in artificial intelligence, with a deep focus on pattern recognition, image processing, and biometrics. He is highly regarded in both academia and industry.

The “Wu Wenjun AI Science & Technology Award” was initiated and hosted by the Chinese Association for Artificial Intelligence (CAAI), with the support of Wu Wenjun, a pioneer and leader in intelligent science research in China, the first recipient of China’s highest national science and technology award, and an academician of the Chinese Academy of Sciences. It was officially established on January 6, 2011 and is known as the “highest award for AI science and technology in China”.

Source: Official website of Chinese Society for Artificial Intelligence

Introduction

Dapeng Zhang
X.Q. Deng Presidential Chair Professor

Research Field

Pattern Recognition, Image Processing and Biometrics

Biography

Professor Zhang is X.Q. Deng Presidential Chair Professor of School of Data Science in the Chinese University of Hong Kong (Shenzhen), Director of Center for Computer Vision in Shenzhen Institute of Artificial Intelligence and Robotics for Society, Director of CUHK(SZ)-Linklogis Joint Laboratory of CV & AI.

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 40 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, 500 international journal papers and 60 patents from USA/Japan/China. From 2014 to 2021, he has been continuously listed as a Highly Cited Researchers in Engineering by Clarivate Analytics (formerly known as Thomson Reuters) (http://highlycited.com). He is ranked 74 (ranked 7 in China) with D-Index 130 at Top 1,000 Scientists for international Computer Science and Electronics in 2024 (http://www.guide2research.com/scientists).

Professor Zhang is also a Distinguished Speaker of the IEEE Computer Society, and an IEEE Life Fellow and an IAPR Fellow. Professor Zhang is selected as a Fellow of both the Royal Society of Canada and the Canadian Academy of Engineering.