Mohamed Elawady is a computer vision researcher and teaching fellow based in Glasgow with over a decade of applied experience bridging academia and industry. He holds a PhD in Computer Vision and an Erasmus Mundus MSc, and has led production CV systems for retail automation as well as research on medical imaging, XAI and aesthetic/emotion estimation. At the University of Strathclyde he coordinates postgraduate AI modules and supervises projects spanning depth estimation to early cancer detection, while previously scaling lightweight detection and retrieval pipelines for global retailers. Comfortable moving between MATLAB prototypes and production Python/embedded deployments, he combines rigorous research (award-winning symmetry detection work) with practical system delivery and industrial collaboration. Notably, his background spans both hands-on product impact—reducing manual effort by up to 90% in commercial projects—and deep technical mentorship of MSc and PhD students.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Vision, Doctor of Philosophy - PhD, Computer Vision at Université de Lyon
Heriot-Watt University Edinburgh Campus
Master of Science - MS, Erasmus Mundus Programme in Computer Vision and Robotics (VIBOT), Master of Science - MS, Erasmus Mundus Programme in Computer Vision and Robotics (VIBOT) at Université de Bourgogne
Bachelor of Science - BS, Computers & Informatics (Major: Computer Science), Excellent with Honor, Bachelor of Science - BS, Computers & Informatics (Major: Computer Science), Excellent with Honor at Suez Canal University
Master of Science - MS, Erasmus Mundus Programme in Computer Vision and Robotics (VIBOT), Master of Science - MS, Erasmus Mundus Programme in Computer Vision and Robotics (VIBOT) at Universitat de Girona
Contributions:11 commits, 12 pushes, 1 branch in 8 months
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