Chaiyawan Auepanwiriyakul
Postdoctoral Fellow
Chaiyawan is a senior research associate and IT specialist. Currently, he is working on understanding movement data from acute stroke patients. He has a background in Electrical Engineering, Control Theory, and Human Robotics.
Research Brief
Chaiyawan’s research focuses on a system that helps improve the quality of life and quality of care of patients, clinicians, and nurses in the acute stroke unit. His main research goals can be broken down into: Investigating the link between human movement, behaviours, and activities using machine learning methods. Develop a novel deep learning technique capable of predicting patients' activities and recovery score from movement data. Create a complete monitoring system that provides insight knowledge into patients well being and recovering rate.
Lab Publications
Natural history, trajectory, and management of mechanically ventilated COVID-19 patients in the United Kingdom
2021Brijesh V Patel, Shlomi Haar, Rhodri Handslip, Chaiyawan Auepanwiriyakul, Teresa Mei-Ling Lee, Sunil Patel, J Alex Harston, Feargus Hosking-Jervis, Donna Kelly, Barnaby Sanderson, Barbara Borgatta, Kate Tatham, Ingeborg Welters, Luigi Camporota, Anthony C Gordon, Matthieu Komorowski, David Antcliffe, John R Prowle, Zudin Puthucheary and Aldo A Faisal
Intensive care medicinePrediction of visual attention in embodied real-world tasks
2021J Alex Harston, Chaiyawan Auepanwiriyakul, Aldo Faisal
Journal of VisionAccuracy and Acceptability of Wearable Motion Tracking Smartwatches for Inpatient Monitoring
2020Chaiyawan Auepanwiriyakul, Sigourney Waibel, Joanna Songa, Paul Bentley and A. Aldo A. Faisal
SensorsThe Embodied Semantic Fovea: Real-time understanding of what and how we look at things in-the-wild
2019Faisal, Aldo A and Harston, John A and Auepanwiriyakul, Chaiyawan and Li, Mickey and Orlov, Pavel
The Association for Research in Vision and OphthalmologyDaily life digital biomarkers for longitudinal monitoring of Duchenne muscular dystrophy with wearable sensors
2019Ricotti, V and Kadirvelu, B and Auepanwiriyakul, C and Zeng, S and Selby, V and Voit, T and Faisal, A
ElsevierGeneralised Structural CNNs (SCNNs) for time series data with arbitrary graph topology
2018Teh, Thomas and Auepanwiriyakul, Chaiyawan and Harston, John Alexander and Faisal, A Aldo
arXiv preprint arXiv:1803.05419Semantic fovea: real-time annotation of ego-centric videos with gaze context
2018Auepanwiriyakul, Chaiyawan and Harston, Alex and Orlov, Pavel and Shafti, Ali and Faisal, A Aldo
Proceedings of the 2018 ACM Symposium on Eye Tracking Research \& ApplicationsA gaze-contingent intention decoding engine for human augmentation
2018Orlov, Pavel and Shafti, Ali and Auepanwiriyakul, Chaiyawan and Songur, Noyan and Faisal, A Aldo
Proceedings of the 2018 ACM Symposium on Eye Tracking Research \& Applications