CCF/ACM/MICCAI member, Dalian University of Technology, China
Liu Bin is a Professor and Doctoral Supervisor, serving as Director of the Department of Digital Media Technology. He holds a dual appointment as Professor at the Cancer Hospital Affiliated with Dalian University of Technology and serves as a Visiting Professor at Ritsumeikan University in Japan. Additionally, he holds the positions of Director and Technical Leader of the Key Laboratory of Medical Simulation Technology of Liaoning Province, and is recognized as a High-End Talent of Dalian.
In academic service, Professor Liu is a member of the Expert Group for National Defense Project Review, Member of the Chinese Computer Federation (CCF), Member of the Association for Computing Machinery (ACM), and Member of the Medical Image Computing and Computer-Assisted Intervention Society (MICCAI). He also serves as a Member of the 3D Printing Technology Branch of the China Pharmaceutical and Biotechnology Association, Executive Director of the Liaoning Anti-Cancer Association, Vice Director of the Bone Tumor and Cytology Research Committee of the Liaoning Society for Cell Biology, Deputy Director of the Repair and Reconstructive Surgery and Digital Technology Committee of the Liaoning Society for Cell Biology, and Executive Director of the Advanced Medical-Industrial Integration Technology Committee of the Liaoning Society for Cell Biology.
Research areas:Computer vision and graphics, intelligent medical image processing and analysis, computer-aided three-dimensional preoperative planning and simulation.
Prof. Lu Leng
IEEE Senior Member, School of Software, Nanchang Hangkong University, China
Lu Leng holds the positions of Full Professor, Dean of the Institute of Computer Vision, and Office Director of the Jiangxi Provincial Key Laboratory of Image Processing and Pattern Recognition at Nanchang Hangkong University.
Prof. Leng has published over 100 papers in peer-reviewed international journals and conferences, including more than 70 SCI-indexed articles and three highly cited papers. His research has been supported by numerous academic scholarships and grants, notably six projects funded by the National Natural Science Foundation of China (NSFC). He has also contributed extensively to academic peer review, serving as a reviewer for over 100 international journals and conferences. His primary research interests encompass computer vision, biometric template protection, biometric recognition, medical image processing, and data hiding, among other domains.
In recognition of his academic achievements and contributions, Prof. Leng has been awarded the Jiangxi Youth May 4th Medal. He is also a distinguished representative of "Innovation Talent" for Jiangxi enterprises under the "Science and Technology China" initiative, and a key participant in prestigious talent programs such as the "Jiangxi Hundred-Thousand-Ten-Thousand Talent Project" and the "Jiangxi Voyage Project."
Research areas:Biometric recognition, biometric template protection, computer vision, medical image processing, data hiding, etc.
Prof. Jia Chen
Royal Academy of Engineering Fellow, OSA/SPIE/IEEE/IEEE Robotics and Automation Society Member, Department of Artificial Intelligence Education, Central China Normal University, China
After receiving his Ph.D. in Optical Sensing/Intelligent 3D Measuring Instruments and Control Systems from Harbin Institute of Technology, he worked at the 502nd Research Institute of China Academy of Aerospace Technology (Beijing) and the Digital Multimedia R&D Center of Samsung China Research Institute (Beijing Headquarters).He has served as the author of OSA's flagship journal OE/OL, Science China-Information Sciences, IEEE TAES, TASE, TCSVT, TGRS, TLT, TVCJ, IEEE Sensors Journal, Journal of Educational Computing Research, and Interactive Learning Reviewer of Environments, Science of China, Journal of Computers, Journal of Automation, Journal of Electronics, Journal of Computer-Aided Design and Graphics, Journal of Instrumentation, etc.;
Research areas: VR/AR/MR, 3D motion capture and motion behavior recognition, SLAM, graphic image processing, deep learning, artificial intelligence