Professor Yaqub’s research interest is in AI in healthcare applied to problems in medical image analysis (e.g, ultrasound, MRI and CT), radiomics and radiogenomics. He investigates and develops AI algorithms to solve real-world healthcare problems, explores fundamental machine learning methods such as continual learning and adversarial attacks and defense in the healthcare domain, and studies different healthcare challenges using natural language processing. Email
Prior to joining MBZUAI, Professor Yaqub was a postdoctoral fellow for six years in the Institute of Biomedical Engineering at the University of Oxford where he worked on several medical imaging problems.
Professor Yaqub spent more than seven years in industry working as a consultant followed by a full position as vice president of engineering at Intelligent Ultrasound Limited, Oxfordshire, United Kingdom.
Professor Yaqub has also worked as a lecturer at Oxford EMI Training and the IT Learning Centre, University of Oxford. Professor Yaqub is a visiting fellow in the Nuffield Department of Clinical Neurosciences and the Oxford Acute Vascular Imaging Centre, University of Oxford, Oxford, United Kingdom.
Yaqub has published more than 40 peer-reviewed articles in top conferences and journals such as IEEE TMI, Medical Image Analysis, MICCAI and Ultrasound in Medicine and Biology and co-edited two books entitled: Medical Imaging Understanding and Analysis, 2020 and 2021.
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