Summary
Dr. Benny Lo is a Reader 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 Topics Editor of the International Journal of Distributed Sensor Networks, and the Area Editor of the EAI Transaction on Bioengineering and Bioinformatics, and he was the Chair of IEEE EMBS Wearable Biomedical Sensors and Systems Technical Committee(2018-2019). 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. His innovative work has been recognised with numerous awards, such as the Outstanding interaction paper award - IEEE ICRA 2022, Best Paper Award – 1st Prize IEEE BSN 2021, EPIC-Kitchens Challenges @CVPR2021 - Action Anticipation, Best Paper Award - IEEE BSN 2019, Winning team of the IMAGINE challenge 2017, etc.
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 C, Jovanov E, Liao H, et al., 2022, Video Based Cocktail Causal Container for Blood Pressure Classification and Blood Glucose Prediction., Ieee J Biomed Health Inform, Vol:PP
Diao H, Chen C, Liu X, et al., 2022, Real-Time and Cost-Effective Smart Mat System Based on Frequency Channel Selection for Sleep Posture Recognition in IoMT, Ieee Internet of Things Journal, Vol:9, ISSN:2327-4662, Pages:21421-21431
Zhang D, Ren Y, Barbot A, et al., 2022, Fabrication and optical manipulation of micro-robots for biomedical applications, Matter, Vol:5, ISSN:2590-2393, Pages:3135-3160
Conference
Shu Y, Gu X, Yang G-Z, et al., 2022, Revisiting self-supervised constrastive learning for facial expression recognition, British Machine Vision Conference, British Machine Vision Association, Pages:1-14
Gu X, Guo Y, Li Z, et al., Tackling long-tailed category distribution under domain shifts, European Conference on Computer Vision (ECCV 2022), Springer, ISSN:0302-9743