Leading Expert in Medical Image Computing and Healthcare Technology
Associated with :
University of GlasgowTotal Students
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Dr. Fani Deligianni serves as a Senior Lecturer/Associate Professor at the University of Glasgow's School of Computing Science, where she leads the Computing Technologies for Healthcare Theme. Her extensive educational background includes a PhD in Medical Image Computing from Imperial College London, two master's degrees (MSc in Advanced Computing from Imperial College London and MSc in Neuroscience from University College London), and a MEng in Electrical and Computer Engineering from Aristotle University, Greece. As a Fellow of the Higher Education Academy, she has demonstrated exceptional commitment to academic excellence and research innovation. Her research has garnered significant attention with over 50 peer-reviewed publications in prestigious venues, achieving an h-index of 22 and 2,719 citations. Her expertise in healthcare technology has attracted over £700,000 in competitive funding from organizations including EPSRC, MRC, and the Royal Society. Dr. Deligianni's research interests span medical image computing, machine learning in healthcare, human motion analysis, and brain connectivity, making her a key figure in advancing healthcare technologies through computational methods.