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Biography
I earned my BEng degree in Electrical and Electronic Engineering from the University of Northumbria in 2015, followed by an MSc in Communication and Signal Processing from the University of Newcastle in 2016. In 2020, I completed my PhD at the University of Glasgow, where I focused on developing radar-based information fusion techniques for ambient assisted living. Following my PhD, I undertook a one-year postdoctoral fellowship at King’s College London, specializing in AI-driven cardiac MRI analysis. Since 2022, I have been a postdoctoral researcher in the Extreme Light group led by Professor Daniele Faccio at the University of Glasgow. My research there involved using photonic sensing and computational imaging methods to detect human heart sounds and monitor brain activity. During my postdoctoral research, I also worked closely with NHS staff and clinical fellows on the clinical trials of the optical stethoscope we developed at Glasgow. In July 2024, I joined the University of Dundee as a Lecturer in Biomedical Engineering within the School of Science and Engineering.
Research
My research encompasses several key areas:
Photonic Sensing: This includes developing innovative photonic sensing techniques for detecting human vital signals and monitoring brain activities. My work focuses particularly on the use of infrared lasers and high-speed camera systems to explore the relationship between cerebral blood flow and the visual system.
Radar Sensing for Ambient Assisted Living: This involves micro-Doppler analysis for humans and animals, the use of radar data cubes for activity recognition, and radar-based remote monitoring of vital signals.
Multimodal Sensing and Information Fusion: I develop deep learning-based sensor fusion techniques to enhance classification and regression tasks across different sensing modalities (e.g. different radar information domains, distributed radar system, radar and other sensors, different neural networks).
PhD Projects
Principal supervisor
PhD opportunity