Keynote Speakers/主旨报告_SEAI 2022
Distinguished professors from both academia and industry will be invited to give speeches.
加拿大皇家科学院院士、加拿大工程院院士, IEEE计算机学会杰出演讲人, 以及IEEE Life Fellow, IAPR Fellow
Prof. David Zhang, 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 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 Founder and Editor-in-Chief, International Journal of Image and Graphics (IJIG); Book Editor, 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 30 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) in 2014, 2015, 2016, 2017, 2018, 2019 and 2020, respectively (http://highlycited.com). He is also ranked about 85 with H-Index 123 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 Fellows of both Royal Societ of Canada and Canadian Academy of Engineering, as well as IEEE Life Fellow and IAPR Fellow.
加拿大工程院院士，IEEE Fellow, 广东省“珠江人才计划”领军人才
Prof. Hong Zhang, Southern University of Science and Technology, China
Biography: Dr. ZHANG Hong is currently a Chair Professor in the Department of Electronic and Electrical Engineering at Southern University of Science and Technology (SUSTech). Prior to joining SUSTech, he was a Professor in the Department of Computing Science, University of Alberta, Canada where he worked for over 30 years. Over his career, Dr. Zhang has trained over 80 graduate students at MSc and PhD levels and post-doctoral fellows, who have moved on to their successful and important positions in academia and industry. Dr. Zhang's research interests include robotics, autonomous vehicles, computer vision, and image processing. He held an NSERC Industrial Research Chair from 2003-2017, and made significant contributions in robotics research. He currently serves as the Editor-in-Chief of IROS Conference Paper Review Board, a flagship conference of the IEEE Robotics and Automation Society. In recognition of his many contributions, Dr. Zhang was elected a Fellow of IEEE and a Fellow of the Canadian Academy of Engineering.
Prof. Mengjie Zhang, Victoria University of Wellington, New Zealand
Biography: Mengjie Zhang is a Fellow of Royal Society of New Zealand, a Fellow of IEEE, an IEEE Distinguished Lecturer, currently Professor of Computer Science at Victoria University of Wellington, where he heads the interdisciplinary Evolutionary Computation Research Group. He is a member of the University Academic Board, a member of the University Postgraduate Scholarships Committee, Associate Dean (Research and Innovation) in the Faculty of Engineering, and Chair of the Research Committee of the Faculty of Engineering and School of Engineering and Computer Science.
His research is mainly focused on artificial intelligence (AI), machine learning and big data, particularly in evolutionary computation and learning (using genetic programming, particle swarm optimisation and learning classifier systems), feature selection/construction and big dimensionality reduction, computer vision and image processing, job shop scheduling and resource allocation, multi-objective optimisation, classification with unbalanced data and missing data, and evolutionary deep learning and transfer learning. Prof Zhang has published over 600 research papers in refereed international journals and conferences in these areas. He has been serving as an associated editor or editorial board member for over ten international journals including IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, IEEE Transactions on Emergent Topics in Computational Intelligence, ACM Transactions on Evolutionary Learning and Optimisation, the Evolutionary Computation Journal (MIT Press), Genetic Programming and Evolvable Machines (Springer), Applied Soft Computing, Natural Computing, and Engineering Applications of Artificial Intelligence, and as a reviewer of over 30 international journals. He has been involving major AI and EC conferences such as GECCO, IEEE CEC, EvoStar, AAAI, PRICAI, PAKDD, AusAI, IEEE SSCI and SEAL as a Chair. He has also been serving as a steering committee member and a program committee member for over 100 international conferences. Since 2007, he has been listed as one of the top ten (currently No. 4) world genetic programming researchers by the GP bibliography (http://www.cs.bham.ac.uk/~wbl/biblio/gp-html/index.html).
Prof Zhang is a past Chair of the IEEE CIS Intelligent Systems Applications, the IEEE CIS Emergent Technologies Technical Committee and the IEEE CIS Evolutionary Computation Technical Committee, a vice-chair of the IEEE CIS Task Force on Evolutionary Feature Selection and Construction, a vice-chair of the IEEE CIS Task Force on Evolutionary Computer Vision and Image Processing, and the founding chair of the IEEE Computational Intelligence Chapter in New Zealand.