Rate My Professor Mohammad Yaqub

Mohammad Yaqub is an Associate Professor of Computer Vision at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). His research focuses on AI in healthcare, particularly medical image analysis using ultrasound, MRI, and CT scans, as well as radiomics and radiogenomics. He develops AI algorithms to address real-world healthcare challenges, investigates fundamental machine learning techniques including continual learning and adversarial attacks and defenses in healthcare contexts, and applies natural language processing to healthcare problems.

Prior to joining MBZUAI, Professor Yaqub completed a Ph.D. in Biomedical Engineering at the University of Oxford and served as a postdoctoral fellow for six years in the Institute of Biomedical Engineering there. He accumulated more than seven years of industry experience, including roles as a consultant and vice president of engineering at Intelligent Ultrasound Limited in Oxfordshire, United Kingdom. He has also lectured at Oxford EMI Training and the IT Learning Centre at the University of Oxford and holds visiting fellow positions in the Nuffield Department of Clinical Neurosciences and the Oxford Acute Vascular Imaging Centre at the University of Oxford. Professor Yaqub has authored more than 40 peer-reviewed publications in venues such as IEEE Transactions on Medical Imaging, Medical Image Analysis, and MICCAI conferences. He co-edited the books Medical Imaging Understanding and Analysis in 2020 and 2021. Notable recognitions include a best paper award at FAIR-MICCAI 2021, a win in a MICCAI 2021 research competition, the Grand Prize in the Ericsson Together Apart 2021 hackathon, and an honorary fellowship at the Nuffield Department of Clinical Neurosciences, University of Oxford in 2018. He filed a patent in 2022 for deep learning methods in head and neck tumor segmentation and survival prediction.