Dr. Mohammad Yaqub is an Assistant Professor in the Computer Vision Department at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).

Dr. Mohammad Yaqub is an honorary research fellow at the Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.

Prior to joining MBZUAI, Dr. Yaqub spent 12 years in Oxford, UK. He received his DPhil (PhD) in Biomedical Engineering from the University of Oxford in 2011. During his PhD, he was supervised by Prof. Alison Noble, Dr. Kassim Javaid and Prof. Cyrus Cooper. He worked on developing machine learning solutions to real-world medical problems. After his PhD, he was a research fellow (2011 - 2016) at the Institute of Biomedical Engineering, University of Oxford and a lecturer (2010 - 2020) in the IT Services, University of Oxford.

He worked on several problems including fetal brain structure detection and segmentation in 2D and 3D ultrasound, fusion of 4D echocardiographic images, automatic categorization and quality checking of images from routine fetal anomaly scans. He has co-supervised PhD and master students during his work at Oxford.

Dr. Yaqub was also the Vice President of Engineering (2016 - 2020) at Intelligent Ultrasound limited where he led a team to build AI-based medical device products. Dr. Yaqub has taken his research ideas from its early days at the University of Oxford all the way to the integration of a medical product (ScanNav) into the ultrasound machines of a world-leading manufacturer.

Dr. Yaqub’s research interests include medical image analysis (e.g, ultrasound, MRI and CT), deep learning, machine learning, and medical image registration. He has published over 35 peer-reviewed articles in top conferences and journals such as IEEE TMI, Medical Image Analysis, MICCAI and Ultrasound in Medicine and Biology. He has been granted multiple research grants and two patents. He is co-organizing the 24th Medical Image Understanding and Analysis (MUIA) in summer 2020 at Oxford University.