| Prof. Yu YaoUniversity of Chinese Academy of Sciences Researcher at the Chengdu Institute of Computer Applications, Chinese Academy of Sciences; Professor and Ph.D. advisor at the University of Chinese Academy of Sciences; General Manager of the Smart Healthcare Division at CAS Chengdu Information Technology Co., Ltd.; and Chairman of CAS Yuwei (Chengdu) Information Technology Co., Ltd. His research primarily focuses on cutting-edge fields such as artificial intelligence-assisted anesthesia maintenance (anesthesia robots), the Internet of Things (IoT) for medical devices, and cancer treatment efficacy prediction. He has achieved numerous innovative research results and successfully facilitated their industrialization. He holds 7 authorized national invention patents and has published over 30 academic papers. |
| Prof. Jin ZhangSichuan University, China Ph.D., Professor, Ph.D. Advisor, Provincial Outstanding Talent, and Chair of the Department of Medical Information Engineering at the School of Biomedical Engineering, Sichuan University. He has published over 70 papers in international journals and conferences, including *Nature*, top-tier journals in medical image processing such as *IEEE TMI* and *MedIA*, and leading artificial intelligence conferences such as *NIPS*. He also holds two international patents and over 20 Chinese patents, and has been recognized as a member of the Sichuan Province “Thousand Talents Plan” Innovation and Entrepreneurship Team and the Chengdu “Rongpiao Plan” Innovation and Entrepreneurship Team. |
| Assoc. Prof. Xinwei LiChongqing University of Posts and Telecommunications Dr. Xinwei Li is a Wenfeng Youth Hundred Talent at Chongqing University of Posts and Telecommunications. Her research focuses on the interdisciplinary fields of medical image processing, neuroscience, artificial intelligence, and medicine. She has led over ten research projects, including General and Young Scientist Fund grants from the National Natural Science Foundation of China, the 1X3 Fund, and major projects supported by the Chongqing Science and Technology Bureau, and has contributed to seven national-level research initiatives. Her work centers on optimizing brain networks for disease-assisted diagnosis, disease prediction using multimodal data, and developing AI algorithms that integrate domain knowledge of the brain. These efforts provide novel computational methods and effective solutions for clinical challenges such as elucidating the pathological mechanisms and supporting the diagnosis of major conditions like cognitive impairment. Dr. Li has published more than 50 academic papers and holds over ten national invention patents. |
| Assoc. Prof. Xiaorong DingUniversity of Electronic Science and Technology of China Xiaorong Ding is an Associate Researcher at the University of Electronic Science and Technology of China, specializing in wearable devices, health informatics, and smart healthcare. She has published over 60 papers in leading domestic and international journals, contributed to two book chapters, holds 14 invention patents granted in China and the U.S., and completed one technology transfer agreement. As principal investigator, she has led several research projects funded by the National Natural Science Foundation of China, as well as Sichuan Province’s International Scientific and Technological Innovation Cooperation and Hong Kong, Macao, and Taiwan Technological Innovation Cooperation programs. |
| Assoc. Prof. Lisha ZhongSouthwest Medical University, China A faculty member at the School of Medical Informatics and Engineering, Southwest Medical University, she serves as a member of the Medical Engineering Technology Teaching and Research Section and holds a doctoral degree. She has long been dedicated to interdisciplinary research integrating medicine and engineering, achieving significant accomplishments particularly in the analysis of epileptic brainwave signals and the development of intelligent early warning systems. |
