Regular biography
Zhongliang Jiang is an Assistant Professor in the Department of Mechanical Engineering at The University of Hong Kong. He joined the department in September 2025. Jiang received his Ph.D. in Computer Science from the Technical University of Munich in 2022, graduating with summa cum laude, and his M.Eng. from Harbin Institute of Technology (Shenzhen) in 2017. From 2022 to 2025, he led the Robotics and Ultrasound Team (RobUSt) at the Computer-Aided Medical Procedures (CAMP) Lab, Technical University of Munich. Prior to that, he worked as a research assistant at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, from 2017 to 2018. His research interests include AI and robotics for improving healthcare, such as robot learning, medical image analysis, medical robotic systems, computer vision in medical applications, and human–robot interaction. He currently serves as an Associate Editor of ICRA (from 2024) and as the Lead Guest Editor for the IEEE Transactions on Robotics special issue on 'Robot-Assisted Medical Imaging.'
Scholar-generated biography
Zhongliang Jiang is a researcher at the University of Hong Kong with expertise in Medical Robotics, Robot learning, Ultrasound imaging, Surgical Robotics, and Human-robot Interaction. His work focuses on advancing robotic systems for medical applications, particularly in ultrasound imaging and surgical procedures. He has developed methods for autonomous robotic ultrasound probe positioning, force-based acquisition, and real-time feedback systems. His research also explores deep reinforcement learning for trajectory planning and machine learning for ultrasound segmentation. Jiang's contributions include improving motion compensation, enabling precise repositioning, and enhancing robotic sonography through techniques like mutual information-based reward learning and motion-aware imaging.