Lecturer: Professor Dou Qi
Time: December 26th, 2025, 9:00 UTC+8
Venue: Room 410, School of Mechatronics Engineering
Biography: Dou Qi is Associate Professor and Doctoral Advisor in the Department of Computer Science and Engineering at The Chinese University of Hong Kong. She is a recipient of the National Science Fund for Excellent Young Scientists (Hong Kong and Macau). She serves as the Deputy Director of the CUHK Institute of Intelligent Healthcare and Extended Reality, and as a researcher at the CUHK T Stone Robotics Institute, the Hong Kong Center for Medical Robotics and InnoHK, and the Hong Kong Center for Logistics Robotics. Her research focuses on medical image analysis and embodied intelligence for surgical robotics. His honors and awards include the Second Prize of Natural Science by the Ministry of Education of China, the IEEE EMBS Early Career Achievement Award, the Hong Kong Young Scientist Award, and the First Prize of Beijing Science and Technology Award. Her Google Scholar citations exceed 30,000 with an H-index of 70. Her papers have received several awards, including the MICCAI 2022 Young Scientist Publication Award, the IEEE ICRA 2021 Best Paper Award in Medical Robotics, the IJCARS-MICCAI 2021 Best Paper Award, and the MedIA-MICCAI 2017 Best Paper Award. She has been continuously listed in the Stanford University's World's Top 2% Scientists since 2020. She serves as an Associate Editor for journals including IEEE Transactions on Medical Imaging, IEEE Transactions on Biomedical Engineering, IEEE Robotics and Automation Letters, and Medical Image Analysis. Her roles in conference organizations include serving as Senior Program Committee member for IROS, Area Chair for ICRA, Area Chair for NeurIPS, and as Co-Program Chair for conferences including MICCAI 2024, IPCAI 2023, MICCAI 2022, and MIDL 2022.
Abstract: The world is faced with an ageing population, which brings about increasing threat for accessibility and quality of medical services. Technological innovations are important to address the forthcoming challenges and hold unprecedented opportunities to transform the healthcare industry. Recent rapid advancements in Al and robotics have made the domain of medical applications highly interdisciplinary, where clinicians take advantages of computers, sensors and robots to perform medical diagnosis and interventions with more efficiency and precision. Al CoPilot, together with its authorized cognitive assistance, intelligent data analytics, and automation, is envisaged to be an effective tool to facilitate clinical workflow in numerous known or unknown ways. This talk will present our research and developments in medical image analysis and robotic surgical intelligence as a demonstration for one step forward such Al CoPilot in medical applications. It will cover novel methodologies for addressing technical challenges from medical data, as well as a few use cases with specific system integrations through long-term joint effort with clinical collaborators. This talk will also share experiences and pitfalls in conducting interdisciplinary research.
Rewritten by: Li Huihui
Edited by: Li Tiantian
Source: School of Mechatronics Engineering
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