Imperial College London


Faculty of MedicineDepartment of Surgery & Cancer

Senior Lecturer



+44 (0)20 7594 0806benny.lo Website




B414BBessemer BuildingSouth Kensington Campus





Dr. Benny Lo is a Senior Lecturer of the Hamlyn Centre, and the Department of Surgery and Cancer, Imperial College London. He also serves as an Associate Editor of the IEEE Journal on Biomedical and Health Informatics, and the Chair of IEEE EMBS Wearable Biomedical Sensors and Systems Technical Committee . He is one of the pioneers in Body Sensor Networks (BSN) research, and helped building the foundation of the BSN research through the development of the platform technologies, introduction of novel sensors, approaches and theories for different pervasive applications, and organising conferences and tutorials. 

His current research focuses on pervasive sensing, computer vision, machine learning, Body Sensor Networks (BSN), Internet of Things (IoT) and Wearable Robots and their applications in healthcare, sports and wellbeing.



Chen C-M, Kwasnicki RM, Curto VF, et al., 2019, Tissue Oxygenation Sensor and an Active In Vitro Phantom for Sensor Validation, Ieee Sensors Journal, Vol:19, ISSN:1530-437X, Pages:8233-8240

Sun Y, Lo FPW, Lo B, 2019, EEG-based user identification system using 1D-convolutional long short-term memory neural networks, Expert Systems With Applications, Vol:125, ISSN:0957-4174, Pages:259-267

McCrory M, Sun M, Sazonov E, et al., 2019, Methodology for objective, passive, image- and sensor-based assessment of dietary intake, meal-timing, and food-related activity in Ghana and Kenya (P13-028-19)., Current Developments in Nutrition, Vol:3, ISSN:2475-2991, Pages:1247-1247

Berthelot M, Henry FP, Hunter J, et al., Pervasive wearable device for free tissue transfer monitoring based on advanced data analysis: clinical study report, Journal of Biomedical Optics, ISSN:1083-3668

Sun Y, Lo B, 2019, An artificial neural network framework for gait based biometrics, Ieee Journal of Biomedical and Health Informatics, Vol:23, ISSN:2168-2194, Pages:987-998

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