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
Lo B, Zhang Y, Inan OT, et al., 2019, Guest editorial: special issue on pervasive sensing and machine learning for mental health, Ieee Journal of Biomedical and Health Informatics, Vol:23, ISSN:2168-2194, Pages:2245-2246
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
Conference
Guo Y, Sun M, Lo FPW, et al., 2019, Visual guidance and automatic control for robotic personalized stent graft manufacturing, 2019 International Conference on Robotics and Automation (ICRA), IEEE, Pages:8740-8746
Chen S, Kang L, Lu Y, et al., 2019, Discriminative information added by wearable sensors for early screening - a case study on diabetic peripheral neuropathy, IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN), IEEE, Pages:1-4, ISSN:2376-8886
Qiu J, Lo FP-W, Lo B, 2019, Assessing individual dietary intake in food sharing scenarios with a 360 camera and deep learning, IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN), IEEE, ISSN:2376-8886