Prof. Mengjie Zhang (Fellow of Royal Society of New Zealand and IEEE)
Victoria University of Wellington, New Zealand
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, a member of the Faculty of Graduate Research Board at the University, 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, feature selection/construction and big dimensionality reduction, computer vision and image processing, classification with unbalanced data and missing data, and evolutionary deep learning and transfer learning. Prof Zhang has published over 500 research papers in refereed international journals and conferences in these areas. Since 2007, he has been listed as one of the top ten (currently No. 4) world genetic programming researchers by the GP bibliography. Prof Zhang is the (immediate) 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.
Prof. Liang Wang (Fellow of IEEE and IAPR )
Chinese Academy of Sciences, China
Dr. Liang Wang received both the B. Eng. and M. Eng. degrees from Anhui University in 1997 and 2000 respectively, and the PhD degree from the Institute of Automation, Chinese Academy of Sciences (CAS) in 2004. From 2004 to 2010, he worked as a Research Assistant at Imperial College London, United Kingdom and Monash University, Australia, a Research Fellow at the University of Melbourne, Australia, and a lecturer at the University of Bath, United Kingdom, respectively. Currently, he is a full Professor of Hundred Talents Program at the National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China. His major research interests include machine learning, pattern recognition and computer vision. He has widely published at highly-ranked international journals such as IEEE TPAMI and IEEE TIP, and leading international conferences such as CVPR, ICCV and AAAI. He has obtained several honors and awards such as the Special Prize of the Presidential Scholarship of Chinese Academy of Sciences. He is a Fellow of IEEE, IAPR and CIE, as well as a member of BMVA and ACM. He is currently an associate editor of IEEE TPAMI, IEEE TIP and Pattern Recognition.