Summary
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.
Publications
Journals
Zhang G, Mei Z, Zhang Y, et al., 2020, A Noninvasive Blood Glucose Monitoring System Based on Smartphone PPG Signal Processing and Machine Learning, Ieee Transactions on Industrial Informatics, Vol:16, ISSN:1551-3203, Pages:7209-7218
Di Camillo B, Nicosia G, Buffa F, et al., 2020, Guest Editorial Data Science in Smart Healthcare: Challenges and Opportunities, Ieee Journal of Biomedical and Health Informatics, Vol:24, ISSN:2168-2194, Pages:3041-3043
Zhang D, Barbot A, Lo B, et al., 2020, Distributed Force Control for Microrobot Manipulation via Planar Multi-Spot Optical Tweezer, Advanced Optical Materials, ISSN:2195-1071
Chen C-M, Anastasova S, Zhang K, et al., 2020, Towards Wearable and Flexible Sensors and Circuits Integration for Stress Monitoring, Ieee Journal of Biomedical and Health Informatics, Vol:24, ISSN:2168-2194, Pages:2208-2215
Gu X, Guo Y, Deligianni F, et al., 2020, Cross-Subject and Cross-Modal Transfer for Generalized Abnormal Gait Pattern Recognition, Ieee Transactions on Neural Networks and Learning Systems, ISSN:1045-9227