Summary
Dr. Benny Lo was 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
Jia W, Li B, Xu Q, et al., 2024, Image-based volume estimation for food in a bowl, Journal of Food Engineering, Vol:372, ISSN:0260-8774
Lo BPL, Au KWS, Chiu PWY, 2024, Guest Editorial Special section on The Hamlyn Symposium 2022 - MedTech Reimagined, Ieee Transactions on Medical Robotics and Bionics, Vol:6, Pages:2-3
Han J, Gu X, Yang G-Z, et al., 2024, Noise-Factorized Disentangled Representation Learning for Generalizable Motor Imagery EEG Classification., Ieee J Biomed Health Inform, Vol:28, Pages:765-776
Gu X, Fani D, Han J, et al., 2024, Beyond supervised learning for pervasive healthcare, Ieee Reviews in Biomedical Engineering, Vol:17, ISSN:1937-3333, Pages:42-62
Qiu J, Li L, Sun J, et al., 2023, Large AI Models in Health Informatics: Applications, Challenges, and the Future, Arxiv