Prof Bin Sheng

Prof Bin Sheng

Professor

Affiliation: Shanghai Belt and Road International Joint Laboratory for Intelligent Prevention and Treatment of Metabolic Disorders, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Institute for Proactive Healthcare, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China.; MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China.

Biography

Bio: Bin Sheng obtained his Ph.D. degree in Computer Science and Engineering from The Chinese University of Hong Kong in 2011. He currently serves as a full Professor at the Department of Computer Science and Engineering, Shanghai Jiao Tong University. His research interests span virtual reality, machine learning, and medical data analysis. His work has been published in top-tier journals, including JAMA, Nature Medicine, Nature Biomedical Engineering, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Visualization and Computer Graphics (TVCG), and International Journal of Computer Vision (IJCV). Additionally, he was AI Challenge Co-Chair for DeepDRiD (ISBI 2020), DRAC (MICCAI 2022), and MMAC (MICCAI 2023). In recognition of his contributions, he received the Outstanding Contribution Award from the Computer Graphics Society in 2023.

Key Research Areas

  • Primary care and AI
  • Healthcare innovation
  • Global health