Invited Speakers
特邀专家

Prof. Guoyan Zheng

Shanghai Jiao Tong University, China

Prof. Dr. Guoyan Zheng received his Ph.D. degree in Biomedical Engineering from University of Bern, Switzerland in 2002. He was an associate professor at the same university until the end of 2018. Since Jan. 2019, he is a full professor and the deputy dean of the Institute of Medical Robotics, Shanghai Jiao Tong University, China. He is also the director of the Center for Robot Vision and Image-Guidance. He has published more than 266 peer-reviewed papers in top-notch conferences and journals such as CVPR, MICCAI as well as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging, Medical Image Analysis, Pattern Recognition, etc. The total number of Google citations of his work is more than 6810 times. He has been awarded 6 US patents and 2 European Patents, and won more than 10 national and international awards including the 1st Prize of the 2019 Global Innovation Design Competition of Medical Robotics, the Best Technical Podium Presentation Award at the 18th CAOS Annual Meeting, the Springer Best Paper Award at the 15th International Conference on Image Analysis and Recognition, the Best Paper Award in MICCAI 2017 International Workshop on Machine Learning in Medical Imaging, the Shape Modeling Grand Challenge Award in the 2014 International Conference on Statistical Shape Modeling, the Poster Award in the 2014 International Conference on Computer Assisted Radiology and Surgery, the Best Basic Science Paper published in the Journal of Laryngology and Otology in year 2011, the 2009 Ypsomed Innovation Prize on Research and Development, etc. He was a member of the board of directors of the International Society for Medical Image Computing and Computer Assisted Interventions. At this moment, he serves as an associate editor for IEEE Transactions on Biomedical Engineering, IEEE Journal of Biomedical and Health Informatics and Computerized Medical Imaging and Graphics.



Prof. Hongkai Wang

Dalian University of Technology, China

Hongkai Wang, professor of biomedical engineering at Dalian university of technology, China. His research interests include medical image processing and digital human modeling. He received the B.Eng. degree in electronic information engineering from Beihang University, Beijing, China, in 2003, and the Ph.D. degree in biomedical engineering from Tsinghua University, Beijing, in 2009. From 2009 to 2011, he was a Post-Doctoral Fellow with the University of California, Los Angeles, CA, USA, where he was a Senior Researcher from 2011 to 2014. From 2014, he became a faculty of Dalian university of technology China. He developed deformable digital phantoms of Chinese human and laboratory mice which have been commercialized by Chinese and American enterprises. He has published in top-level journals including IEEE Transactions on Medical Imaging and Medical Image Analysis and is also serving as a reviewer of these journals. He is the member of IEEE and the MICCAI society, as well as the co-founders and committee members of international digital medicine council and the Medical Image Computing Society, respectively.



Prof. Li Zhang

South-Central Minzu University, China

Graduated from School of Optics and Electronic Information, Huazhong University of Science and Technology, Ph.D. in Engineering. Professor of South-Central Minzu University, the first batch of the Ministry of Education's national pool of 10,000 outstanding innovation and entrepreneurship mentors, the Ministry of Education's Degree Center's pool of experts, and accredited expert of Shenzhen, Jiangsu, Jiangxi, Hubei and other provincial science and technology department, presided over and participated in many national and provincial projects, published more than thirty SCI/EI indexed papers. The main research interests are: physiological signal detection and processing, development and design of intelligent instruments, artificial intelligence and medical data mining, etc.



Assoc. Prof. Li Xiao

Institute of computing, Chinese Academy of Sciences, China

Li Xiao, associate professor of Institute of computing, Chinese Academy of Sciences&Professor of Ningbo Huamei hospital, University of Chinese Academy of Sciences, and Recipient of Hundred Talented Program in Chinese Academy of Science. He has been deeply contributed to the modeling and computation of medical big data, invented a series of innovative algorithms such as multi-scale modeling, multi-layer GCN aggregation, multi-task training, et.al. He has collaborated with 20+ well-known hospitals, including Peking University Third Hospital, West China Hospital, Peking Union Medical College Hospital, et.al., published 30+ papers on international high impact journals/conferences such as Science, MedIA, TMI, MICCAI, and invented 10+ intellectual property rights and transferred to relevant companies with millions of yuan.



Assoc. Prof. Xiaopeng Si

Tianjin University, China

Dr. Xiaopeng Si works as an associate Professor at Tianjin University. Dr. Si obtained his Ph.D. from Tsinghua University (Department of Biomedical Engineering, and IDG/McGovern Brain Institute), and finished his visiting scholar at Johns Hopkins University. His research interests include: Brain science and neural engineering, brain computer interface, medical artificial intelligence, multimodal human brain neuroimaging and regulation, artificial intelligence assisted detection of neuropsychiatric diseases, etc. He has published papers in top journals including PNAS, Cerebral Cortex, NeuroImage, Journal of Neural Engineering, Frontiers in Neuroscience, etc. His team used multimodal neuroimaging and machine learning methods to understand the cognitive processes. His team tried to apply these mechanisms in people with brain disorders, such as epilepsy. His team also tried to enhance normal people's ability by creating mind reading technology.



Assoc. Prof. Shulong Li

Southern Medical University, China

 

Shulong Li, associate professor and postgraduate supervisor of Southern Medical University, Ph.D majored in Pure Mathematics from Sun Yat-sen University, visiting scholar of National Sun Yat-sen University in Taiwan and visiting scholar of Southwest Medical Center (utsw) of University of Texas (2016.7-2017.11). She has presided over a number of general projects and youth projects of National Natural Science Foundation of China, seedling raising project of Guangdong Provincial Department of education and other projects, and has published more than 30 high-level papers, including medical image analysis (if = 11.148). Research interests include machine learning and deep learning, medical image analysis and medical artificial intelligence. Some progress has been made in AI assisted diagnosis and treatment of lung cancer and pancreatic cancer.



Assoc. Prof. Gen Li

Chongqing University of Technology, China

Gen Li is an Associate Professor in the Department of Biomedical Engineering at Chongqing University of Technology, where he has been since 2018. He received a B.S. in Electrical Engineering from Chongqing University of Technology in 2013, and a Ph.D. in Biomedical Engineering from Chongqing University in 2018. Since July 2021, he has become a Postdoctoral Researcher in the Department of Neurosurgery at Southwest Hospital. From September 2021, he has worked as a Visiting Scholar in Institute of Medical Engineering and Translational Medicine at Tianjin University. His research interests include wearable technology, non-invasive detection and processing of biomedical signals, etc. His research has been sponsored by the Natural Science Foundation of China, the Natural Science Foundation of Chongqing, the Science and Technology Research Project of the Chongqing Education Commission, the High-level Talents Research Startup Project, et al. He has published more than 20 papers in scientific journals. He also reviewed many manuscripts for more than 5 journals. In 2020, he was awarded the Chongqing Talent Innovation and Entrepreneurship Demonstration Team. In 2021, he was selected into the Western Light Talent Training Program of China.