| Prof. Jie YangShanghai Jiaotong University, China Jie Yang received a bachelor’s degree in Automatic Control in Shanghai Jiao Tong University (SJTU), where a master’s degree in Pattern Recognition & Intelligent System was achieved three years later. In 1994, he received Ph.D. at Department of Computer Science, University of Hamburg, Germany. Now he is the Professor and Director of Institute of Image Processing and Pattern recognition in Shanghai Jiao Tong University. He is the principal investigator of more than 30 national and ministry scientific research projects in image processing, pattern recognition, data mining, and artificial intelligence. He has published six books，more than five hundreds of articles in national or international academic journals and conferences. Google citation over 27500，H-index 85. Up to now, he has supervised 5 postdoctoral, 46 doctors and 70 masters, awarded six research achievement prizes from ministry of Education, China and Shanghai municipality. He has owned 48 patents. Three Ph.D. dissertation he supervised was evaluated as “National Best Ph.D. Dissertation” in 2009, in 2017, in 2019. He has been chairman and keynote speaker of more than 10 international conferences. He is in the list of 2025 World Top 2% Career-long Impact Scientists issued by Stanford University and Elsevier. |
| Prof. Dong LiangShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China Prof. Dr. LIANG Dong currently serves as Vice President of the Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS). He also serves as Director of the Institute of Biomedical and Health Engineering (IBHE), Director of the Research Center for Medical AI, Deputy Director of the State Key Laboratory of Biomedical Imaging Science and Systems, and Director of the Guangdong Provincial Key Laboratory of Multimodality Non-Invasive Brain–Computer Interfaces.Prof. Dr. Liang's primary research focuses on AI in medical imaging, with a particular emphasis on AI-empowered magnetic resonance imaging (MRI) technologies and systems. He serves as Deputy Secretary-General of the Chinese Society of Biomedical Engineering and Member of the 2nd Guangdong Provincial Advisory Committee for Advancing the New Generation Artificial Intelligence Development Strategy. He is a recipient of multiple awards, including the first prize of the National Science and Technology Progress Award (2021). |
| Prof. Yuanjie ZhengShandong Normal University, China He is a member of the Standing Committee of the Party Committee and Vice President of Shandong Normal University. His current research focuses on artificial intelligence, computer vision, and medical image analysis. He has been the primary contributor to projects that received both the First and Second Prizes for Scientific and Technological Progress from Shandong Province. He has published over one hundred academic papers in top-tier journals, including IEEE TPAMI (impact factor: 24.31; ranked among the top two in both computer science and engineering categories), MedIA, IEEE TMI, IEEE TIP, and IEEE TNNLS, as well as in prestigious international conferences such as CVPR (ranked 4th in Google Scholar citations among all journals and conferences), ICCV, MICCAI, and IPMI. His articles have been selected as highly cited papers (with individual SCI citations over 3,000 times) and have received the Cover Article Award from the American Association of Physicists in Medicine. He has led significant foundational research projects in Shandong Province and the National Natural Science Foundation of China, and has been honored with titles such as Excellent Graduate Supervisor in Shandong Province, Outstanding Scientific and Technological Worker in Shandong Province, and the Returned Overseas Scholars Entrepreneurship Award in Shandong Province. |
