Imperial College London

DrBennyLo

Faculty of MedicineDepartment of Surgery & Cancer

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 0806benny.lo Website

 
 
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Location

 

B414BBessemer BuildingSouth Kensington Campus

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Summary

 

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

Yang X, Zhang Y, Lo B, et al., 2021, DBAN: Adversarial Network With Multi-Scale Features for Cardiac MRI Segmentation, Ieee Journal of Biomedical and Health Informatics, Vol:25, ISSN:2168-2194, Pages:2018-2028

Jiang S, Kang P, Song X, et al., 2021, Emerging wearable interfaces and algorithms for hand gesture recognition: a survey., Ieee Reviews in Biomedical Engineering, Vol:PP, ISSN:1941-1189

Qiu J, Lo FP-W, Jiang S, et al., 2021, Counting bites and recognizing consumed food from videos for passive dietary monitoring., Ieee Journal of Biomedical and Health Informatics, Vol:25, ISSN:2168-2194, Pages:1471-1482

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

Conference

Han J, Gu X, Lo B, Semi-supervised contrastive learning for generalizable motor imagery eeg classification, 17th IEEE International Conference on Wearable and Implantable Body Sensor Networks, IEEE

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