About Me
I am now a Postdoctoral Researcher at the Computational Health Informatics Lab, University of Oxford, working with Prof David Clifton. Previously, I obtained my PhD degree in Computing and MRes degree (Distinction & Dean's Prize) in Medical Robotics and Image Guided Intervention, supervised by Dr Benny Lo and Prof Guang-Zhong Yang. Prior to that, I obtained BEng degree (Honors Student & National Scholarship) in Electronic Engineering from Fudan University in 2018, supervised by Prof Wei Chen. My research interests focus on integrating pervasive sensing (wearable and ambient sensors) and deep learning for healthcare, to address pressing generalization issues in real-world applications.
[2024-02-20]
   One co-authored survey paper on lower-limb exoskeletons accepted to IEEE SMC.
[2024-02-06]
   One paper on Motor Imagery EEG accepted to JBHI and selected as Front Cover.
[2024-01-15]
   Our Workshop focusing on wearables and healthcare robotics will be hosted within ICRA24.
[2023-09-12]
   Started as a postdoctoral researcher at Oxford.
[2023-08-23]
   Passed my PhD viva! Many thanks to my supervisors, collaborators, and family!   Thesis
[2023-08-22]
   One co-authored paper on semi-supervsied image segmentation accepted to BMVC23.
[2023-07-14]
   One survey paper for AI in pervasive healthcare got accepted to IEEE R-BME.
[2023-05-30]
   Co-Organize Workshop "AI in pervasive well-being and healthy ageing".
[2023-05-15]
   Awarded ICRA student travel grant.
My research interests are mainly focused on three tracks in Machine Learning for Pervasive Healthcare
Generalization-Issue-Oriented   review paper
To examine and address real-world data learning issues, prompting generalizable and trustworthy solutions for digital health.
Dataset Scarcity (label scarcity / imbalanced /...),
Source Heterogeneity (cross-subject / position / modality / dataset /...),
Data&Annotation Quaility (noisy sensor data / annotation bias /...)
Sensing-Modality-Oriented
To harness the full potential of wearable and ambient sensing technologies for the development of healthcare solutions.
Ambient Camera / Egocentric Camera / EEG / EMG / IMU / ECG / Novel Sensing /...
Healthcare-Application-Oriented
To ultimately translate research advancements into tangible benefits for real-world health and wellbeing applications.
Rehabilitation Monitoring / Human Behaviour Understanding / Dietary Monitoring /...
Last Updated : Feb 26 2024 by Xiao (Shawn)