Summary
Mohamed Marei is a Project Engineer in automation systems with nine years' experience bridging academic research and industrial delivery in robotics, mechatronics, and applied AI. He holds a PhD focused on deep-learning predictive maintenance and has published in Q1 journals while translating those methods into production-focused computer vision and RUL solutions. At WMG he leads end-to-end development for Airbus LANDOne, combining real-time vision models (YOLO, SAM), bespoke hardware integration, and agile delivery to push TRLs toward deployment. He also has strong teaching and supervision experience, achieving high student satisfaction in mechatronics and smart manufacturing modules. Known for balancing data-efficient deep-learning with real-time constraints, Mohamed brings both hands-on C++, Python and Swift implementation skills and a pragmatic eye for moving research into operational systems.
9 years of coding experience
11 years of employment as a software developer
Full Stack Web Development Certificate Computer Software Engineering, Full Stack Web Development Certificate Computer Software Engineering at Free Code Camp
Master’s Degree Mechatronics, Robotics, and Automation Engineering, Master’s Degree Mechatronics, Robotics, and Automation Engineering at The University of Sheffield
Doctor of Philosophy - PhD Mechatronics, Robotics, and Automation Engineering, Doctor of Philosophy - PhD Mechatronics, Robotics, and Automation Engineering at Coventry University
GCE, GCE at Thamer International School
Arabic, French, German, English