Research Team

Aurélien is a postdoctoral researcher in the Inference, Dynamics and Interaction group led by Pr. Roderick Murray-Smith (Uni of Glasgow). His current work aims to combine cognitive modelling and machine learning to improve human-computer interactions. One of his main goals in the QUEST project is to design the way humans could interact with the devices of a smart house, such that these devices would help them reach their own goals while respecting their privacy and their sense of agency.

Haobo Li received his BEng in Electrical and Electronic Engineering at University of Northumbria and MSc in Communication and Signal Processing at University of Newcastle. He got his PhD in the field of Multimodal Radar Sensing in Ambient Assisting Living at University of Glasgow in 2020. He is currently a Postdoc of QUEST project in Extreme Light group led by Professor Daniele Faccio. His research includes radar signal processing, multimodal sensing, machine learning and optical sensing.

Heather is a Research Associate in the Health Economics and Health Technology Assessment (HEHTA) research group within the School of Health and Wellbeing. Originally from Johannesburg, South Africa, Heather completed her MSc Epidemiology in the field of Implementation Science at the University of the Witwatersrand.

Heather's work focuses on economic evaluations of healthcare interventions. This involves a range of methods, including decision-analytic modelling, conceptual modelling, regression and survival analysis. Her work on QUEST will also include preference elicitation of clinicians and community end-users, using Discrete Choice Experiments.

William Taylor was awarded a 1st class BEng (Hons) degree in Computer Systems & Networks and an MSc (with distinction) in Advanced Security & Digital Forensics at Edinburgh’s Napier University, UK. He is currently pursuing a PhD degree in Electronic and Electrical Engineering at the James Watt School of Engineering, University of Glasgow, UK. His work includes the implementation of radio frequency sensing to create healthcare monitoring applications aimed at assisting vulnerable people to live in their own homes safely and independently. He has published multiple papers in this field and hopes to bring commercial value to his research. His research interests involve Machine Learning, Real-time systems, and Technology in Healthcare.

Yao Ge received the dual B.Eng. degree in Electrical and Electricity Engineering from UESTC, China, and University of Glasgow with first honours, in 2020. He is currently pursuing his Ph.D. degree in University of Glasgow, U.K. His research interests include wireless sensing, artificial intelligence, and smart healthcare systems.

Marija is a Physics PhD student at the University of Glasgow. Having obtained an integrated master's degree in Physics & Computing Science, she currently works on computational imaging techniques in the Extreme Light research group. She develops laser-based systems to provide healthcare solutions for cardiovascular diseases. Her main research interests are computational imaging and machine learning and their applications to medical imaging and healthcare.