Keynote Speakers of MVAID 2023
Prof. Yulin Wang, Wuhan University, China
Experience: Yulin Wang is a full professor in the School of Computer Science, Wuhan University, China. His research interests include image and video processing, digital rights management, information security, intelligent system, e-commerce, IoT, code clone and so on. He got his PhD degree from University of London, UK. He got his master and bachelor degree from Huazhong University of Science and Technology（HUST）and Xi-Dian University respectively, both in China. Before joining the Wuhan University, he has worked in Hi-tech IT industry, including HUAWEI© and national research institute, for more than ten years. He has involved more than 15 national and international research projects. In recently 10 years, Prof. Wang has published 1 book, and 50+ journal and conference papers, including in IEEE TIP. He holds 10 authorized patents. Prof. Wang served as EiC of 2 international journals and reviewer of top IEEE and ACM journals. He also served as reviewer of Innovative talents projects and national research funds, including National High Technology Research and Development Program of China. Prof. Wang was the external PhD advisor of Dublin City University, Ireland during 2008-2010. In recently 10 years, Prof. Wang served as chairman of more than 10 international conferences, and keynote speakers in more than 20 international conferences. Besides UK, he visited US, France,Italy, Portugal,Croatia, Australia, Germany, korea, Ireland,Singapore, Malaysia, Japan, and Hong Kong. In addition, Prof. Wang has been appointed as the deputy director of Hubei provincial science and technology commission (CAPD) since 2014.
Prof. Renchao Jin,Huazhong University of Science and Technology,China
Experience: He is a professor and doctoral supervisor at the Medical Image Information Research Center of the Institute of Digital Media, School of Computer Science and Technology, Huazhong University of Science and Technology. Currently, he mainly researches on deep learning, medical image processing and analysis algorithms, and medical device software development.
Main academic contributions: (1) Invented a fast algorithm for solving the famous NP-hard SAT problem based on the idea of quasi-physical and quasi-sociological, and won the gold medal in the 1996 International SAT Problem Solving Competition; (2) Invented a three-dimensional CT Liver segmentation algorithm based on the level set active contour model and a Couinaud segmentation algorithm, provided intelligent solutions for liver surgery planning. Relevant software developed in cooperation with medical equipment enterprises has been integrated into the supporting software system of their CT machine products; (3) Invented a series of computer-assisted medical diagnosis and treatment algorithms, involving radiotherapy planning, 3D CT/MRI image segmentation, registration and keypoint localization algorithms based on deep learning, etc..
Prof. Cairong Zhao, Tongji University, China
Experience: Cairong Zhao is currently a Professor of College of Electronic and Information Engineering at Tongji University. He received a Ph.D. degree from Nanjing University of Science and Technology, an M.S. degree from Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences and a B.S. degree from Jilin University, in 2011, 2006 and 2003, respectively. He works on visual and intelligent learning, including computer vision, pattern recognition and visual surveillance. He has authored more than 40 journal and conference papers in these areas.