Professor Alejandro F. Frangi MSc, PhD, SM IEEE
Professor of Biomedical Image Computing University of Sheffield; Professor, Department of Mechanical Engineering; Director of Centre for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB).
Extracting quantitative information from biomedical images and personalising through images physiological computational models with applications in diagnosis, treatment planning and interven-tional guidance.
Tel: +44 (0)114 2220153
PA: +44 (0) 114 2225394
Email: a.frangi@sheffield.ac.uk
Professor Frangi obtained his undergraduate degree in Telecommunications Engineering from the Technical University of Catalonia (Barcelona) in 1996. In 1997 he obtained a grant from the Dutch Ministry of Economic Affairs to pursue his PhD at the Image Sciences Institute of the University Medical Center Utrecht on model-based cardiovascular image analysis.
Professor Frangi is Professor of Biomedical Image Computing at the University of Sheffield (USFD), UK. He currently leads the Center for Computational Imaging & Simulation Technologies in Biomedicine. CISTIB is associated to INSIGNEO Institute for in silico Medicine, a joint initiatives between USFD and the Sheffield Teaching Hospitals Foundation Trust to realise the scientific ambition behind the Virtual Physiological Human (VPH), producing a transformational impact on healthcare. CISTIB is also associated to the Mellanby Centre for Bone Research and to the MRC-Arthritis Research UK Centre for Integrated Research into Musculoskeletal Ageing (CIMA).
Professor Frangi’s main research interests are in medical image computing, medical imaging and image-based computational physiology. He has been principal investigator or scientific coordinator for over 20 national and European projects, both funded by public and private bodies.
Prof Frangi has edited a book, published 5 editorial articles and over 120 journal papers in key international journals of his research field, as well as more than 150 book chapters and international conference papers. He has twice been Guest Editor of special issues of IEEE Trans on Medical Imaging, one on IEEE Trans Biomed Eng, and one of Medical Image Analysis journal.
He is a Senior Member of IEEE and Associate Editor of IEEE Trans on Medical Imaging, Medical Image Analysis, SIAM J Imaging Sciences, the Intl Journal for Computational Vision and Biomechanics and Recent Patents in Biomedical Engineering journals. Prof. Frangi was foreign member of the Review College of the Engineering and Physical Sciences Research Council (EPSRC, 2006-10) and current a regular member of the Review College (EPSRC, 2013-). He is a recipient of the IEEE Engineering in Medicine and Biology Early Career Award (2006), the Prizes for Knowledge Transfer (2008) in the Information and Communication Technologies domain and of Teaching Excellence (2008, 2010) by the Social Council of the Universitat Pompeu Fabra. In 2009, he was awarded one of the 40 ICREA-Academia Prizes across all disciplines of science by the Institució Catalana de Recerca i Estudis Avançats (ICREA) in 2009.
Alex’s interest in the area of MSK diseases are in developing advanced quantitative imaging methods across any clinical or biological imaging modality (DXA, CT, MRI, µCT, µMR, etc.). He has worked on 3D bone reconstruction from 2D projections, on statistical shape modelling of bones and muscles, on quantitative and statistical techniques to assess bone remodelling after therapy, on image-based risk prediction of bone fracture, and on image-based personalisation of MSK biomechanical models. You can get a deeper idea of his research vision and interests by reading his recent editorial article:
Frangi AF, Hose DR, Hunter PJ, Ayache N, Brooks D. Editorial: Special issue on Medical Imaging and Image Computing in Computational Physiology. IEEE Trans Med Imaging. 2013 Jan;32(1):1-7.
