Professor of Visual Computing, University of Bradford
Rami Qahwaji is Professor of Visual Computing and is leading the space weather research (http://spaceweather.inf.brad.ac.uk/) and medical imaging research ( http://medicalimg.brad.ac.uk/) at Bradford University. He is also the Academic Director for the Digital Catapult Centre Yorkshire. Rami is originally trained as an Electrical Engineer and had MSc in Control and Computer Engineering both from University of Mustansiriyah (Baghdad). He received PhD in Computer Vision Systems in 2002 from the University of Bradford and then joined the School of Informatics as a new Lecturer. His research interests include: 2D/3D image processing, machine learning, data science, digital health and the design of machine vision systems with proven track record in the fields of solar/satellite imaging, medical imaging, data visualisation and applied data mining working with medical and industrial collaborators. His research was funded by H2020, EPSRC, EU FP7, NHS, ERDF, European Space Agency (ESA), TSB, Yorkshire Forward, and more.
He has over 130 refereed publications including 6 edited books, 10 book chapters, around 40 journal papers, and over 65 invited talks and conference presentations and publications. He has supervised 20 completed PhD projects, with another 7 currently in train. He also examined over 15 PhD students at UK and International universities. He is Fellow of the Institution of Engineering and Technology (FIET), Charted Engineer (CEng from Engineering Council, UK), Fellow of the Higher Education Academy (FHEA) and a member of various professional organisations, and has refereed research proposals for various national and international funding bodies. He has acted as reviewer/ external examiner for over 20 UK and international universities and has a US patent. He is heavily involved in the organisation of international conferences.
The benefits that a digital healthcare system could bring aren't out of reach
Jun 13, 2017 14:50 pm UTC| Insights & Views Health Technology
Imagine a day where you dont have to wait weeks to see your GP, followed by a further wait for medical test results and then still more waiting before being seen by a specialist. We know that changing demographic trends,...
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