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Rami Qahwaji

Professor of Visual Computing

Area
School of CSAI&E
Faculty of Eng & Digital Technologies
E-mail
R.S.R.Qahwaji@bradford.ac.uk
Phone
+441274236078
Rami Qahwaji
12 research projects
158 publications

Biography

Professor Rami Qahwaji is a Professor of Visual Computing at the University of Bradford. He has worked extensively with a wide range of industries and organisations in the fields of artificial intelligence (AI), satellite and space imaging, remote sensing, digital health, medical imaging, biometrics, and data visualisation. His research focuses on developing intelligent systems in collaboration with partners including NASA, the European Space Agency (ESA), the NHS, government bodies, and various SMEs. He has secured several million pounds in research funding from UK and European agencies.

Professor Qahwaji serves as the Research Excellence Framework (REF) Unit of Assessment Coordinator for Computer Science and Informatics (B11) for both REF2021 and REF2029. He is the author of the REF2021 impact case study on his joint work with NASA, which was rated 100% internationally excellent (3*) – available to view here.

From 2019 to 2022, he was a member of both the University Senate and the University Council. He currently chairs the Computing Industry Advisory Board. He also served as the Academic Lead for the Healthcare Technology Unit within the Digital Health Enterprise Zone (DHEZ), a £13M partnership led by the University of Bradford and supported by BT, the City of Bradford Metropolitan District Council, and the UK Government. Between 2015 and 2018, he was the Academic Director of the Digital Catapult Centre Yorkshire, leading initiatives to drive digital innovation across the Yorkshire region and fostering stronger collaboration between SMEs, universities, and government stakeholders.

Professor Qahwaji has an academic background in Electrical Engineering and holds an MSc in Control and Computer Engineering and a PhD in AI and Visual Computing. He leads the Space Weather Research Group at the University of Bradford and is actively involved in international collaborations and interdisciplinary innovation.

He is a Fellow of the Institution of Engineering and Technology (FIET), a Chartered Engineer (CEng), a Fellow of the Higher Education Academy (FHEA), a Committee Member of the British Standards Institution (the UK’s national standards body) on Artificial Intelligence, an IET technical assessor, and a founding member of the Healthcare Sector Executive Committee at the IET.

Professor Qahwaji has authored over 160 peer-reviewed journal and conference publications and has delivered numerous keynote speeches at national and international conferences. He has supervised 40 completed PhD projects and over 150 MSc projects, and serves as an external examiner for several UK and international universities. He remains deeply engaged in organising international academic activities and public engagement events.

Research

Research Groups: Visual Computing, Space AI, Space Weather

Research projects

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Newly awarded in July 2022: ,” Raed Abd-Alhameed (PI), Rami Qahwaji, John Buckley and Maryann Hardy, £205K.

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CustomLensAI: AI for Improved Cataract Surgery

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Development of Visual Computing and AI Technologies to Diagnose Movement Disorders Associated with Parkinson's Disease

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KTP

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• H2020 project funded by European Commission Research and Innovation call: H2020-MSCA-ITN-2016 (Marie Skłodowska-Curie Innovative Training Networks), “”, Euro 3.3M, Bradford’s share (Eur 0.6M) Prof: Raed Abd-Alhameed. Bradford project Prof Rami Qahwaji, Dr James M Noras and Dr Stephen MR Jones.

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• PI for 4-years NHS National Innovation Centre grant, entitled “”, Oct 2013 – Oct 2017, value £250K.

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Solar Events Prediction system For Space Launch Risk Estimation'

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• WP leader for FP7 project “”, €2M among 10 partners. Oct 2012- Oct 2015, Bradford’s share €248K

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Development of a 3D User Interface for Intelligent Data Browsing

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Image Processing, Machine Learning and Geometric Modelling for the 3D Representation of Solar Features

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Image Processing and Machine Learning Techniques for Short-Term Prediction of Solar Activity

Professional activities

  • British Standards Institution (the UK’s national standards body) on Artificial Intelligence, Committee Member of the British Standards Institution (the UK’s national standards body) on Artificial Intelligence

  • Al-Mustansriya University - MSc
  • Al-Mustansriya University - BSc

  • Conference Attendee: Cyberworlds 2011 (Canada), Cyberworlds 2010(Singapore), CGI2010 (Singapore), ITSim 2010 (Malaysia), Cyberworlds 2009 (UK), CITSA 2009 (USA), IEEE ICME 2009 (Mexico), MIC-CSC 08 (Jordan), IEEE SSD08 (Jordan), CITSA 08 (USA), IEEE ICSPC 07 (UAE), CITSA 07 (USA), DCCA 2007 (Jordan), ICME 2006 (Canada), VCIP-SPIE 05 (China), ASMTA 2004 (Germany), KES 2004 (New Zealand)
  • Invited Researcher: Invited to research activities organised by EPSRC, CISM - Boston University (USA - 2006), LPCE at the Université d'Orléans (France -July 2008), the Netherlands Institute for Radio Astronomy (ASTRON -Jan 2008), , NASA's workshop, "Forecasting the Operational All-Clear" (USA - April 2009), European COST Action ES0803 meeting in Rome (Italy - March 2009), etc.
  • Recognition: Included in Marquis Whos Who in the World (Science and Engineering),

  • Higher Education Academy, Fellow FHEA
  • Institution of Engineering and Technology (IET) , Technical Assessor
  • Engineering Council UK, Charted Engineer CEng
  • Institution of Engineering and Technology (IET) , Fellow FIET (1 September 2011)

Publications