Prof. Qi Dou is currently an Associate Professor at the Department of Computer Science and Engineering at The Chinese University of Hong Kong (CUHK). She is an affiliated member of CUHK T-Stone Robotics Institute, CUHK Institute of Medical Intelligence and XR, Hong Kong Multi-scale Medical Robotics Center, and Hong Kong Centre for Logistics Robotics. Her research is at the interdisciplinary field of AI and robotics technologies for medical applications including autonomous surgical robot, medical imaging, safe embodied AI, etc. Prof. Dou's research work has received a number of international and national awards, including IEEE EMBS Early Career Achievement Award (2023), Ministry of Education Higher Education Outstanding Scientific Research Output Award — Second-class Award in Natural Sciences (2022), First Prize of Beijing Science and Technology Progress Award (2022), Hong Kong Institution of Science Young Scientist Award (2018). Her publications have received a number of prestigious best paper awards and nominations, including IJCARS-MICCAI Best Paper Awards (2021 & 2024), MICCAI Best Paper Award Finalists (2023 & 2024), MICCAI Young Scientist Publication Award (2022), IEEE ICRA Best Paper Award in Medical Robotics (2021), IEEE TBME Prize Paper Award (2021), MedIA-MICCAI Best Paper Award (2017). Her team's research outputs appear in Science Robotics, Nature Machine Intelligence, Nature Communications (3), npj Digital Medicine (2), and top-tier conferences in AI, robotics and interdisciplinary fields. She serves as General Co-Chair for MICCAI 2026, Program Co-Chair for MICCAI 2024, IPCAI 2023, MICCAI 2022, and MIDL 2022, and Area Chairs for NeurIPS, CVPR, AAAI, ICRA, IROS, etc. She serves as the Associate Editor for international journals including IEEE Transactions on Medical Imaging, Medical Image Analysis, IEEE Transactions on Biomedical Engineering, IEEE Robotics and Automation Letters, Computer Assisted Surgery, and founding editorial board of npj Digital Surgery. Qi has received the Young Researcher Award (2024-25) and Exemplary Teaching Award (2022) at CUHK. Before joining CUHK faculty, she obtained Bachelor's degree at Beihang University in 2014, Ph.D. degree at CUHK in 2018, and worked as a postdoc fellow at Imperial College London.

My research is at the interdisciplinary field of medical image analysis, machine learning and robotic surgery intelligence, aiming to create synergistic advancements for innovative intelligent systems that achieve an impact to support delivery of higher-quality medical diagnosis, intervention and education via next-generation healthcare technology. Previous representative works include 3D deep learning for image computing, model generalizability and FL on heterogeneous medical data, surgical video analysis for real-time cognitive assistance, and SurRoL.

Recent focus: 1) Surgical Robotics, 2) Agentic AI Systems for Healthcare Applications, 3) Human Robots for Elderly Care, 4) Emobioied AI, 5) LLMs and Smart XR for Medical Education