Jiangjunfeng

Junfeng Jiang, male, Member of the Communist Party of China, Ph.D. in Engineering, currently serves as the Deputy Director of the Institute of Human-Machine Environment Intelligent Interaction and Systems, School of Artificial Intelligence and Automation, Hohai University. He is a member of the National Technical Committee on Computer-Aided Design and Graphics, a member of the Medical Imaging Committee of the China Society of Image and Graphics, a member of the Jiangsu Provincial Branch of SICOT China (Digital Orthopedics Society), and a member of the Smart Healthcare Committee of the Jiangsu Medical Association.

His research primarily focuses on AI-driven medical treatment planning and execution, orthopedic surgical robotics, intelligent medical image analysis, and 3D computer graphics. He has led multiple research projects funded by the National Natural Science Foundation of China, the Key Research and Development Program of Jiangsu Province (Social Development - Clinical Frontier Technologies), and the Jiangsu Provincial Natural Science Foundation (General Program). His scientific achievements have been recognized with the Jiangsu Medical Science and Technology Youth Award. The precise registration and intelligent reconstruction algorithms developed by his team have been integrated into spinal surgical robots and intelligent preoperative planning systems produced by leading domestic medical device companies.

His research team operates under the Changzhou Key Laboratory of Graphics, Images, and Orthopedic Implant Digitization and collaborates with research groups from the University of Texas at Austin, the University of Science and Technology of China, as well as several leading hospitals and enterprises including the 301 General Hospital in Beijing, Jiangsu Provincial People's Hospital, Changzhou First People's Hospital, and Changzhou Second People's Hospital. This collaboration embodies a comprehensive industry-academia-research-application model. Key research achievements include low-dose, high-fidelity 3D reconstruction from CT images, submillimeter-level registration between preoperative CT and intraoperative X-ray images for optical navigation, intelligent reduction and reassembly of bone fragments in trauma orthopedics, intelligent planning for bridging trauma fractures, causal and abductive reasoning integrating medical images, cases, radiomics, and clinical data, and long video understanding for spinal endoscopy. These findings have been published in top-tier international journals and conferences such as ICCV, MICCAI, EuroGraphics, Computer-Aided Design, and Computers in Industry. In 2025, a paper on CT to X-ray Registration and 3D Reconstruction from X-rays received the Young Scientist Award and a Best Paper Nomination (top 25 out of 1027 accepted papers) at MICCAI, a premier conference in medical image analysis. He also received the Jiangsu Medical Science and Technology Award in 2023. Furthermore, he has supervised students who have won awards for outstanding master's theses in Jiangsu Province.

He places significant emphasis on translating scientific achievements into industrial applications. Algorithms related to spatial navigation and positioning, intelligent surgical planning, and intelligent image analysis have been integrated into the spinal surgical robot products of Tuodao Medical. In January 2026, his team initiated a collaborative project with Tuodao Medical Technology Co., Ltd. on key technologies for intelligent, operative, dual-channel spinal endoscopic surgical robots, secured through a single grant of 3 million RMB.

The research team is well-funded, offers competitive compensation, and fosters a positive and collaborative atmosphere. Recent placements of team members include: Ph.D. graduate Ziyue Deng at Huawei's 2012 Laboratories in Shanghai; Ph.D. graduate Ao Shen as a postdoctoral fellow at the School of Biomedical Engineering, Shanghai Jiao Tong University; and master's graduates at companies such as NIO, Meituan, ByteDance, banks, and state-owned enterprises. Interested candidates are welcome to join!

Email: jiangjf@hhu.edu.cn
GitHub Page: https://junfeng-geo.github.io/

1998.9-2002.7  Yangzhou University, Computer Science, B.E.

2003.9-2006.3 Nanjing University of Aeronautics and Astronautics, Computer Science, M.E.

2010.9-2013.12 Hohai University, Computer Science, Ph.D.

2006.4-2016.6Hohai University, College of IOT Engineering, Lecturer;

2016.7-now    Hohai University, College of IOT Engineering, Associate Professor.

Chief scientist consultant of Changzhou Kinser Medical Information Technology Co., Ltd.