Chaiyawan Auepanwiriyakul

Postdoctoral Fellow

Chaiyawan is a third year PhD student and research assistant. 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


Brijesh 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 medicine

Prediction of visual attention in embodied real-world tasks


J Alex Harston, Chaiyawan Auepanwiriyakul, Aldo Faisal

Journal of Vision

Accuracy and Acceptability of Wearable Motion Tracking Smartwatches for Inpatient Monitoring


Chaiyawan Auepanwiriyakul, Sigourney Waibel, Joanna Songa, Paul Bentley and A. Aldo A. Faisal


The Embodied Semantic Fovea: Real-time understanding of what and how we look at things in-the-wild


Faisal, Aldo A and Harston, John A and Auepanwiriyakul, Chaiyawan and Li, Mickey and Orlov, Pavel

The Association for Research in Vision and Ophthalmology

Daily life digital biomarkers for longitudinal monitoring of Duchenne muscular dystrophy with wearable sensors


Ricotti, V and Kadirvelu, B and Auepanwiriyakul, C and Zeng, S and Selby, V and Voit, T and Faisal, A


Generalised Structural CNNs (SCNNs) for time series data with arbitrary graph topology


Teh, Thomas and Auepanwiriyakul, Chaiyawan and Harston, John Alexander and Faisal, A Aldo

arXiv preprint arXiv:1803.05419

Semantic fovea: real-time annotation of ego-centric videos with gaze context


Auepanwiriyakul, Chaiyawan and Harston, Alex and Orlov, Pavel and Shafti, Ali and Faisal, A Aldo

Proceedings of the 2018 ACM Symposium on Eye Tracking Research \& Applications

A gaze-contingent intention decoding engine for human augmentation


Orlov, 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