Invited Speakers


Prof. Guoyan Zheng
Shanghai Jiao Tong University, China

Prof. Dr. Guoyan Zheng is a tenured full professor and the Deputy Dean of the Institute of Medical Robotics at Shanghai Jiao Tong University, China. He has published more than 280 peer-reviewed conference and journal papers, won more than 20 national and international awards including the Medtronic PITVIS Award of the EndoVision Challenge in MICCAI 2023, the IHU Surgical Action Triplet Award of the EndoVision Challenge in MICCAI 2022, the Outstanding Paper Award in the Joint MICCAI 2022 Workshop on AE-CAI, CARE and OR2.0, and the First Prize of the 2019 Global Innovation Design Competition of Medical Robotics. He has been granted 6 US patents, 2 European Patents, and 5 Chinese patents. His work has received more than 9200 Google citations. At this moment, he serves as an associate editor for IEEE Transaction on Medical Imaging, Neural Networks, IEEE Transactions on Biomedical Engineering and IEEE Journal of Biomedical and Health Informatics.

Assoc. Prof. Jian Wu
Tsinghua University, China

Prof. Wu researches minimally invasive surgical engineering, and in particular spatial 3D positioning and medical image processing. Current and past projects have explored three-dimensional positioning technology based on linear CCD sensors and the spatial positioning technology of monocular vision; the application of surgical navigation systems in different clinical fields, such as the key techniques of computer-aided total knee arthroplasty (TKR); the mechanisms of atrial fibrillation in arrhythmia, such as to achieve the location of AF focus before surgery through the combination of computer simulation and actual clinical measurement; research on polarimetric endospection by polarimetric principle.

Prof. Li Zhang
South-Central Minzu University, China

Li Zhang holds a Ph.D. in Engineering from the College of Optics and Electronic Information at Huazhong University of Science and Technology. Currently a professor at the School of Biomedical Engineering, South-Central Minzu University,China. Li Zhang is also a mentor in the Ministry of Education's National Talent Pool for Outstanding Innovation and Entrepreneurship and an expert in the Ministry of Education's Degree Center and the science and technology departments of Shenzhen, Jiangsu, Jiangxi, and Hubei provinces. Li Zhang's research focuses on physiological signal detection and processing, development and design of intelligent instruments, and artificial intelligence and medical data mining. As an author, She has published nearly 30 SCI/Ei indexed papers as the first or corresponding author, holds multiple national invention/utility model patents, and nearly 10 software copyrights.


Assoc. Prof. Xin Wang
Monash University Malaysia Campus, Malaysia

Dr. Xin Wang obtained her PhD from Nanyang Technological University. Dr. Wang's research interests include machine vision, image processing, laser sensing, optical metrology, deep learning, AI applications in healthcare, non-destructive testing, and structural health monitoring. She has published 2 book chapters and over 70 peer-reviewed journal papers. Dr. Wang was a visiting professor at the National Metrology Centre, Singapore, in 2011, and at the Centre for Optical & Laser Engineering, NTU, in 2016. She has successfully secured external research grants as the principal investigator for 12 projects and as a co-principal investigator for 10 projects, funded by government agencies, industry etc. Dr. Wang is a Chartered Engineer with IMechE (UK) and a Senior Member of IEEE.





Prof. Shulong Li
Southern Medical University, China

Li Shulong, Professor and Doctoral 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. 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.