Imperial College London

Prof Guang-Zhong Yang

Faculty of EngineeringDepartment of Computing

Director, The Hamlyn Centre



+44 (0)20 7594 1499g.z.yang Website




Miss Raphaele Raupp +44 (0)20 7594 1499




B411-412Bessemer BuildingSouth Kensington Campus





Professor Guang-Zhong Yang, PhD, FREng is Director and Co-founder of the Hamlyn Centre for Robotic Surgery, Deputy Chairman of the Institute of Global Health Innovation, Imperial College London, UK. Professor Yang also holds a number of key academic positions at Imperial – he is Director and Founder of the Royal Society/Wolfson Medical Image Computing Laboratory, co-founder of the Wolfson Surgical Technology Laboratory, Chairman of the Centre for Pervasive Sensing.

Professor Yang’s main research interests are in medical imaging, sensing and robotics. In imaging, he is credited for a number of novel MR phase contrast velocity imaging and computational modelling techniques that have transformed in vivo blood flow quantification and visualization. These include the development of locally focused imaging combined with real-time navigator echoes for resolving respiratory motion for high-resolution coronary-angiography, as well as MR dynamic flow pressure mapping for which he received the ISMRM I. I Rabi Award. He pioneered the concept of perceptual docking for robotic control, which represents a paradigm shift of learning and knowledge acquisition of motor and perceptual/cognitive behaviour for robotics, as well as the field of Body Sensor Network (BSN) for providing personalized wireless monitoring platforms that are pervasive, intelligent, and context-aware. Professor Yang is a Distinguished Lecturer for IEEE Engineering in Medicine and Biology Society. He is a Fellow of the Royal Academy of Engineering, fellow of IEEE, IET, AIMBE, IAMBE, MICCAI, City of Guilds and a recipient of the Royal Society Research Merit Award and The Times Eureka ‘Top 100’ in British Science.

Selected Publications

Journal Articles

Rafii-Tari H, Payne CJ, Yang G-Z, 2014, Current and Emerging Robot-Assisted Endovascular Catheterization Technologies: A Review, Annals of Biomedical Engineering, Vol:42, ISSN:0090-6964, Pages:697-715

Hughes-Hallett A, Pratt P, Mayer E, et al., 2014, Intraoperative Ultrasound Overlay in Robot-assisted Partial Nephrectomy: First Clinical Experience, European Urology, Vol:65, ISSN:1421-993X, Pages:671-672

Marcus HJ, Hughes-Hallett A, Cundy TP, et al., 2013, Robotic Surgery. Not everything that counts can be easily counted., Bmj, Vol:346

Vitiello V, Lee S-L, Cundy TP, et al., 2013, Emerging Robotic Platforms for Minimally Invasive Surgery, Ieee Reviews in Biomedical Engineering, Vol:6, Pages:111-126

Wang L, Lekadir K, Merrifield R, et al., 2013, A General Framework for Context-Specific Image Segmentation Using Reinforcement Learning, Ieee Transactions on Medical Imaging, Vol:epub ahead of print

Marcus H, Nandi D, Darzi A, et al., 2013, Surgical Robotics Through a Keyhole: From Today's Translational Barriers to Tomorrow's "Disappearing" Robots, IEEE Transactions on Biomedical Engineering, Vol:60, ISSN:0018-9294, Pages:674-681

He B, Baird R, Butera R, et al., 2013, Grand Challenges in Interfacing Engineering With Life Sciences and Medicine, IEEE Transactions on Biomedical Engineering, Vol:60, ISSN:0018-9294, Pages:589-598

Kwok K-W, Tsoi KH, Vitiello V, et al., 2013, Dimensionality Reduction in Controlling Articulated Snake Robot for Endoscopy Under Dynamic Active Constraints, IEEE Transactions on Robotics, Vol:29, ISSN:1552-3098, Pages:15-31

Giannarou S, Visentini-Scarzanella M, Yang G-Z, 2013, Probabilistic Tracking of Affine-Invariant Anisotropic Regions, Ieee Trans. Pattern Anal. Machine Intell., Vol:35, Pages:130-143

Lo B, Thiemjarus S, Panousopoulou A, et al., 2013, Bio-inspired Design for Body Sensor Networks, Ieee Signal Processing Magazine (to Appear)

Newton RC, Noonan DP, Vitiello V, et al., 2012, Robot-assisted transvaginal peritoneoscopy using confocal endomicroscopy: a feasibility study in a porcine model, Surgical Endoscopy and Other Interventional Techniques, Vol:26, ISSN:0930-2794, Pages:2532-2540

James DR, Leff DR, Orihuela-Espina F, et al., 2012, Enhanced frontoparietal network architectures following "gaze-contingent" versus "free-hand" motor learning., Neuroimage

Mountney P, Yang G-Z, 2012, Context specific descriptors for tracking deforming tissue, Medical Image Analysis, Vol:16, ISSN:1361-8415, Pages:550-561

Atasoy S, Mateus D, Meining A, et al., 2012, Endoscopic Video Manifolds for Targeted Optical Biopsy, IEEE Transactions on Medical Imaging, Vol:31, ISSN:0278-0062, Pages:637-653

Howitt P, Darzi A, Yang GZ, et al., 2012, Technologies for global health, The Lancet, Vol:380, Pages:507-535

Sodergren MH, Orihuela-Espina F, Mountney P, et al., 2011, Orientation Strategies in Natural Orifice Translumenal Endoscopic Surgery, Annals of Surgery, Vol:254, ISSN:0003-4932, Pages:257-266

Lekadir K, Keenan NG, Pennell DJ, et al., 2011, An Inter-Landmark Approach to 4-D Shape Extraction and Interpretation: Application to Myocardial Motion Assessment in MRI, IEEE Transactions on Medical Imaging, Vol:30, ISSN:0278-0062, Pages:52-68

More Publications