Associate Professor of Computer Vision Mohamed bin Zayed University of Artificial Intelligence
Professor M. Yaqub is a distinguished researcher and educator in biomedical engineering and medical imaging, currently serving on the faculty at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). Prior to joining MBZUAI, he spent six years as a postdoctoral fellow at the Institute of Biomedical Engineering, University of Oxford, where he tackled complex challenges in medical image analysis.
With over seven years of industry experience, Professor Yaqub held leadership roles including Vice President of Engineering at Intelligent Ultrasound Limited in Oxfordshire, UK. His career also includes academic appointments as a lecturer at Oxford EMI Training and the IT Learning Centre, University of Oxford, and he continues to serve as a visiting fellow in the Nuffield Department of Clinical Neurosciences and the Oxford Acute Vascular Imaging Centre.
Academic & Research Highlights
- Ph.D. in Biomedical Engineering, University of Oxford, UK
- Honorary Fellow, Nuffield Department of Clinical Neurosciences, University of Oxford (2018)
- Patent Filed (2022): Deep Learning Apparatus and Method for Segmentation and Survival Prediction for Head and Neck Tumors (USPTO Application No. 17849943)
- Best Paper Award, FAIR-MICCAI 2021
- Winner, MICCAI 2021 Research Competition
- Grand Prize Winner, Ericsson Together Apart Hackathon UAE (2021), in collaboration with SEHA and Khalifa University
Publications & Editorial Work
Professor Yaqub has authored over 40 peer-reviewed articles in leading journals and conferences such as IEEE Transactions on Medical Imaging, Medical Image Analysis, MICCAI, and Ultrasound in Medicine and Biology. He also co-edited two volumes of Medical Imaging Understanding and Analysis (2020, 2021).
Selected Publications:
- Deep Learning Techniques For Diabetic Retinopathy Classification: A Survey, IEEE Access, 2022
- The Effect of Maternal BMI on Fetal Ultrasound Image Quality, American Journal of Obstetrics & Gynecology, 2021
- Predicting MGMT Promoter Methylation from Brain Tumor MRI Scans, MIDL Conference, 2022
- Automatic Segmentation of Head and Neck Tumor Using Transformers, MIDL Conference, 2022
- Ensemble Prognosis for Head and Neck Tumors Using Multimodal Data, MICCAI HECTOK Challenge, 2021
- Continual Domain Incremental Learning for Chest X-Ray Classification, Springer, 2021