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.

 


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. Anand Nayyar
Duy Tan University, Vietnam

Dr. Anand Nayyar received Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks, Swarm Intelligence and Network Simulation. He is currently working in School of Computer Science-Duy Tan University, Da Nang, Vietnam as Professor, Scientist, Vice-Chairman (Research) and Director- IoT and Intelligent Systems Lab. A Certified Professional with 125+ Professional certifications from CISCO, Microsoft, Amazon, EC-Council, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Published more than 200+ Research Papers in various High-Quality ISI-SCI/SCIE/SSCI Impact Factor- Q1, Q2, Q3, Q4 Journals cum Scopus/ESCI indexed Journals, 80+ Papers in International Conferences indexed with Springer, IEEE and ACM Digital Library, 50+ Book Chapters in various SCOPUS/WEB OF SCIENCE Indexed Books with Springer, CRC Press, Wiley, IET, Elsevier with Citations: (Google Scholar): 12700+, H-Index: 60 and I-Index: 217; (Scopus): 6600+; H-index: 43.

 

Chief Researcher Yulai Xie
Hitachi China Research Laboratory, China

Yulai Xie received Bachelor's and Master's degrees in engineering from Tianjin University in 2008 and 2010, respectively, and then received a Ph.D. degree in engineering from Hokkaido University, Japan, in 2014. He is currently a chief researcher with Hitachi China Research Laboratory. His research interests include computer vision, video understanding, traffic analysis, and AI-based content generation with paper publications and patent applications. He also has rich experience in AI applications in the industrial, manufacturing, and building fields.