People
YAM Yeung 任揚
Research Professor, Director of CUHK Shenzhen Research Institute (SZRI)
yyam@mae.cuhk.edu.hk
TEL: 852 - 3943 8331
Room 317, William M.W. Mong Engineering Building
http://www.mae.cuhk.edu.hk/~yyam

YAM Yeung is a Research Professor at the Department of Mechanical and Automation Engineering (MAE) at the Chinese University of Hong Kong (CUHK). He is also the Director of the CUHK Shenzhen Research Institute and Master of the Lee Woo Sing College of the University. YAM Yeung is currently the Principal Investigator of two CUHK InnoCentres: Centre for Perceptual and Interactive Intelligence (CPII) and the Multi-Scale Medical Robotics Center (MRC) at the Hong Kong Science and Technology Park (HKSTP). He is the Principal Investigator of the CUHK Jockey Club AI-for-the-Future Project of Phase I (2019-2022) and Phase II (2022-2026), and led two projects commissioned by the HKSAR Education Bureau on AI curriculum development and teacher training for Secondary Schools in Hong Kong. His dedicated career at CUHK includes serving as Chairman of the MAE Department (2004-2011) and as Interim Dean of the Faculty of Engineering in 2018. YAM Yeung received his Bachelor degree in Physics from CUHK, and his M.Sc. and Sc.D. degrees in Aeronautics and Astronautics from the Massachusetts Institute of Technology. Prior to joining CUHK, YAM Yeung was a member of the Technical Staff at the Jet Propulsion Laboratory (JPL) in Pasadena, California, USA. His research interests include artificial intelligence, surgical robotics, computational control, and smart manufacturing. He has published over 250 technical papers in his fields of interest.

Research Interests
  • Intelligent systems
  • Surgical robotics
  • Computational control
  • Smart manufacturing
Projects
Teaching
2019/2020
MAEG3050 Introduction to Control Systems
2018/2019
MAEG3050 Introduction to Control Systems
Publications

Journal Papers (in the recent five years)

  1. X. Chen, L. M. Lai, Z. Liu, Issac C.W. Leung, Charlie C.L. Wang, Y. Yam, “Computer-Controlled 3D Surface Weaving,” Robotics and Computer-Integrated Manufacturing. 90. 102819. 10.1016/j.rcim.2024.102819.
  2. F. F. Leung, K. Borvorntanajanya, K. W. Chen, E. Zari, A. Garriga-Casanovas, E. Franco, F. R. y BAENA, P. W. Y. Chiu, Y. Yam, “Hybrid Manipulator With Force Estimation for Lower Gastrointestinal Interventions,” IEEE Robotics and Automation Letters, Vol. 9, No. 11, pp. 9709-9716, Nov. 2024.
  3. J. Cao, H.C. Yip, Y. Chen, M. Scheppach, X. Luo, H. Yang, M.K. Cheng, Y. Long, Y. Jin, Philip W.Y. Chiu, Y. Yam, Helen M.L. Meng and Q. Dou, “Intelligent Surgical Workflow Recognition for Endoscopic Submucosal Dissection with Real-time Animal Study,” Nature Communications, 14, 6676 (2023)
  4. Z. Liu, E.L. Doubrovski, J.M.P. Geraedts, W. Wang, Y. Yam and Charlie C.L. Wang, “Photogrammetric Reconstruction of Stolen Statue,” Proceedings of Eurographics, 2023.
  5. F. F. Leung, C. P. Lam, L. W. Cheung, D. N. F. Lai, Y. Yam, Philip W. Y. Chiu and K. C. Lau, “A Feasibility Study of Unconstrained Robotic Traction Device for Endoscopic Submucosal Dissection,” Gastrointestinal Endoscopy 95 (6), AB442-AB443 (Also presented in Digestive Disease Week, 2022.)

Conference Papers

  1. F. F. Leung, K. Borvorntanajanya, K. W. Chen, E. Zari, A. Garriga-Casanovas, E. Franco, F. R. y BAENA, P. W. Y. Chiu, and Y. Yam, “Tip Force Estimation of a Hybrid Manipulator for Lower GI Interventions,” Proceedings of Hamlyn Symposium on Medical Robotics, 2024.
  2. X. Chen, C. Dai, B. Sun, C. P. Lam, G. Fang, Y. Yam, and C. C. L. Wang, “Weaving-based freeform sensing interface: Design and fabrication,” Proceedings of ICRA 2024 Workshop.
  3. Z. Liu, E.L. Doubrovski, J.M.P. Geraedts, W. Wang, Y. Yam and Charlie C.L. Wang, “Photogrammetric Reconstruction of Stolen Statue,” Proceedings of Eurographics, 2023.
  4. Y. Xu, C.S. Chai, Helen M.L. Meng, Savio W.H. Wong, K.W. Yau, Thomas K.F. Chiu, I. King and Y. Yam, “An experiential learning approach to learn AI in an online workshop,” 2023 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), November, 2023.
  5. C. P. Lam, M. H. Ho, S. P. Siu, L. W. Cheung, F. F. Leung, T. M. F. Chan, Y. Yam, K. C. Lau, “Implementation of a Novel Handheld Endoscopic Operation Platform (EndoGRASP),” Proceedings of Hamlyn Symposium on Medical Robotics, 2023.

Books

  1. P. Baranyi, Y. Yam, and P.Várlaki, Tensor Product (TP) Model Transformation in Polytopic Model-Based Control, Engineering and Environmental Sciences, CRC Press. To appear August 2013.