Prof. Yiuming Cheung 

European Academy of Sciences and Arts member, IEEE/AAAS/IAPR/IET/BCS Fellow, Department of Computer Science, Hong Kong Baptist University, China 

Yiu-ming Cheung is currently a Chair Professor (Artificial Intelligence) of the Department of Computer Science, Dean of Institute for Research and Continuing Education (IRACE), and Associate Director of Institute of Computational and Theoretical Studies in Hong Kong Baptist University (HKBU). He received PhD degree from Department of Computer Science and Engineering at The Chinese University of Hong Kong in 2000, and then joined the Department of Computer Science at HKBU in 2001. He is a member of European Academy of Sciences and Arts, and an IEEE Fellow, AAAS Fellow, IAPR Fellow, IET Fellow, and British Computer Society (BCS) Fellow. He is the awardee of RGC Senior Research Fellow with receiving a fellowship grant of HK$7.8 million over a period of 60 months. Since 2019, he has been ranked the World’s Top 1% Most-cited Scientists in the field of Artificial Intelligence and Image Processing by Stanford University for six consecutive years. Furthermore, he has been elected as a Distinguished Lecturer of IEEE Computational Intelligence Society, and named a Chair Professor of Changjiang Scholars Program by the Ministry of Education of the People’s Republic of China for the dedication and exceptional achievements in his academic career. In addition, he is serving as the Editor-in-Chief of IEEE Transactions on Emerging Topics in Computational Intelligence.

Research areas: Machine Learning and Visual Computing, as well as their applications in Data Science, Pattern Recognition, Multi-objective Optimization, and Information Security.

Prof. Bin Liu

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.

Professor Liu obtained his Bachelor's degree from Dalian University of Technology in 2000, ranking first in his major and being recommended for admission to the Master's program without examination. He conducted joint research as a Visiting Scholar at the National University of Singapore from 2018 to 2019. His primary research interests include computer vision and graphics, medical image processing and 3D reconstruction, and computer-aided preoperative planning and simulation.

He has presided over 4 projects funded by the National Natural Science Foundation of China, in addition to more than 10 provincial, ministerial, and industry-commissioned projects. As the first author or corresponding author, he has published over 50 papers in international journals and has been granted more than 30 national invention patents and 40 software copyrights. Professor Liu has supervised undergraduate and graduate students to win over 30 gold and silver awards in national and provincial-level competitions, including the "Challenge Cup" and "Internet Plus" competitions.

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 obtained his Ph.D. degree from Southwest Jiaotong University, Chengdu, China, in 2012. He subsequently pursued postdoctoral research at Yonsei University (Seoul, South Korea) and Nanjing University of Aeronautics and Astronautics (Nanjing, China). Dr. Leng has also served as a visiting scholar at West Virginia University (USA) and Yonsei University (South Korea). Currently, he 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. Debao Zhou

Debao Zhou received the Ph.D. degree in mechanical and production engineering from Nanyang Technological University, Singapore, in 2004.,He is a Professor with the Department of Mechanical and Industrial Engineering, University of Minnesota Duluth (UMD), Duluth, MN, USA, where he joined in 2008. From January 2005 to January 2008, he was a Postdoctoral Fellow with Georgia Tech Research Institute, Georgia Institute of Technology, Atlanta, GA, USA. His research interests include distributed force sensor design, modeling of biomaterial cutting, designing the next-generation endoscope, and developing tracking systems using thermal imaging methods and robotics.

Research areas:Artificial skin sensors, smart materials, vision systems, surgical process modeling and simulation, robotics technology, system dynamics, control and quantum cascade laser systems.

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

Prof. Nick Freris

School of Computer Science, University of Science and Technology of China

Nick Freris is Professor in the School of Computer Science at USTC and former Vice Dean of the Interna,onal College (2019-2024). He received the Diploma in Electrical and Computer Engineering from the Na,onal Technical University of Athens (NTUA), Greece, in 2005, and the M.S. degree in Electrical and Computer Engineering, the M.S. degree in Mathema,cs, and the Ph.D. degree in Electrical and Computer Engineering all from the University of Illinois at Urbana-Champaign (UIUC) in 2007, 2008, and 2010, respec,vely.    His research lies in AIoT: machine learning, distributed op,miza,on, data mining, wireless networks, control, and signal processing, with applica,ons in transporta,on, power systems, sensor networks, and robo,cs. Dr. Freris has published several papers in high-profile conferences and journals held by IEEE, ACM, and SIAM and holds four patents. His research has been sponsored by the Ministry of Science and Technology of China, the Anhui Department of Science and Technology, Tencent, and the Na,onal Science Founda,on (NSF), USA. He was recognized as the 2023 IEEE ROBIO Best Paper Award Finalist, as well as with the USTC Alumni Founda,on Innova,on Scholar Award (twice), the IBM High Value Patent Award, the IBM Inven,on Achievement Award (twice), and the Gerondelis Founda,on Scholarship. Previously, he was with the faculty of NYU and, before that, he held senior researcher and postdoctoral researcher posi,ons at EPFL and IBM Research, respec,vely. Dr. Freris is a Senior Member of IEEE, ACM, and CCF.    

Research Area: AIoT:Machine Learning, Distributed Optimization, Data Mining, Wireless Networks, Control, Signal Processing (with applications in transportation, power systems, sensor networks, and robotics)