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.

In collaboration with Coursera, Dr Lo has launched a MOOC specialisation on Advanced App Development on Android covering topics on computer graphics and virtual reality app developments. 



Chen G, Jia W, Zhao Y, et al., 2021, Food/non-food classification of real-life egocentric images in low- and middle-income countries based on image tagging features, Frontiers in Artificial Intelligence, Vol:4, ISSN:2624-8212

Sun Y, Lo FP-W, Lo B, 2021, Light-weight internet-of-things device authentication, encryption and key distribution using end-to-end neural cryptosystems, Ieee Internet of Things Journal, ISSN:2327-4662

Zhang C, Liu S, Han F, et al., 2021, Hybrid manifold-deep convolutional neural network for sleep staging, Methods, ISSN:1046-2023, Pages:1-9


Zhang D, Wang R, Lo B, Surgical gesture recognition based on bidirectional multi-layer independently RNN with explainable spatial feature extraction, IEEE International Conference on Robotics and Automation (ICRA) 2021, IEEE

Lei J, Qiu J, Lo FP-W, et al., 2021, Assessing individual dietary intake in food sharing scenarios with food and human pose detection, 6th International Workshop on Multimedia Assisted Dietary Management (MADiMa 2020), Springer International Publishing, Pages:549-557, ISSN:0302-9743

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