Hongbin Liu is the Director of the Centre for AI and Robotics (CAIR) at the Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences. He is also a Professor at the Institute of Automation (CASIA), Chinese Academy of Sciences, and the Director of the group focused on intelligent technology for minimally invasive surgery. Professor Liu’s group has been concentrating on the research and development of surgical robotic systems with advanced haptic sensing and embodied artificial intelligence, aiming to enable safer and more effective minimally invasive surgery in narrow spaces.

Webpage: https://people.ucas.edu.cn/~liuhongbin 

Zhen Lei is a professor at the Center for Artificial Intelligence and Robotics (CAIR), Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences. He is also a doctoral supervisor and a researcher at the Institute of Automation, Chinese Academy of Sciences. His main research areas include biometric recognition, image and video analysis and understanding, and artificial intelligence theory. He has published over 200 papers in top journals and conferences in this field, such as IEEE Transactions, CVPR, ICCV, AAAI, and IJCAI, with more than 28,000 citations on Google Scholar. 

Webpage: http://www.cbsr.ia.ac.cn/users/zlei/ 

Gaofeng Meng is a professor at the Center for Artificial Intelligence and Robotics (CAIR), Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences. He is also a doctoral supervisor and a professor at the Institute of Automation, Chinese Academy of Sciences, as well as a postdoctoral professor at the University of Chinese Academy of Sciences. Professor Meng has published over 100 papers in top journals and conferences in this field, including IEEE Transactions (TPAMI, TIP, TNNLS, TMM), CVPR, ICCV, ECCV, NeurIPS, AAAI, and IJCAI. 

Webpage: https://people.ucas.ac.cn/~gfmeng 

Danny Tat Ming CHAN is a consultant at the Prince of Wales Hospital in Hong Kong and serves as the Head of the Division of Neurosurgery. With extensive clinical experience and deep expertise in his field, he is dedicated to providing high-quality medical care to patients. As the Associate Director of the CUHK Otto Wong Brain Tumour Centre, he plays a crucial role in the diagnosis and treatment of brain tumors, advancing both research and clinical practices. In addition, he actively engages in academic research and international conferences, sharing his insights and expertise. 

Webpage: https://www.surgery.cuhk.edu.hk/profile.asp?alias=tmdanny

Jinlin Wu is a research assistant professor at the Center for Artificial Intelligence and Robotics (CAIR), Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences. He specializes in computer vision, particularly in areas such as person re-identification, video object tracking, and surgical robotics. His research aims to develop innovative solutions that enhance the accuracy and efficiency of visual recognition systems. He received the First Place Award in the 1st Challenge on Machine Visual Common Sense: Perception, Prediction, Planning.

Webpage: https://scholar.google.com/citations?user=XujjZmUAAAAJ

Mingyang Zhao is an associate professor at the State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences. Previously, he was a Assistant Professor at CAIR, also was Postdoctoral Research Fellow at Beijing Academy of Artificial Intelligence (BAAI) and the National Laboratory of Pattern Recognition of the Institute of Automation, Chinese Academy of Sciences (CAS). He is dedicated to advancing research that bridges theoretical concepts with practical applications, particularly in improving medical imaging techniques and geometric modeling tools. 

Webpage: https://zikai1.github.io/

Felix Holm is a PhD candidate at the Chair for Computer Aided Medical Procedures at Technical University Munich with Professor Nassir Navab. His research focuses on surgical video understanding using advanced computer vision techniques. Particularly scene graph representations for modeling surgical procedures. He has published multiple works on dynamic scene graphs for surgical applications, including papers at ICCVW 2023 and MICCAI 2025. His work addresses critical challenges in surgical data science and contributes to making surgical procedures safer and more efficient through Al-powered analysis of surgical videos, with particular expertise in cataract surgery modeling and interpretable machine learning approaches for healthcare applications.

Webpage: https://scholar.google.com/citations?user=87NxU6AAAAAJ&hl=de