Dr Omar Elnaggar
PhD, AFHEA, MIPEM
Teaching Associate in Robotics
Teaching Associates' Office, Engineering G30, Mile End
| Availability: | by appointment (email to arrange) |
| Expertise: | I design wearable sensing and AI systems that help clinicians and researchers understand how people move and rest. My work combines body-worn magneto-inertial sensors, optical motion-capture, machine-learning methods, musculoskeletal modelling approaches and biomedical imaging techniques to analyse human kinematics and kinetics, and to characterise tissue morphology and biomechanics, in clinically inspired contexts, including ageing and long-term health conditions. I also develop practical tools for robotics and engineering education, including interactive virtual labs and data-driven assessment. I can speak to topics such as medical robotics, digital health and the responsible use of AI in healthcare. |
| Affiliations: |
Full Member (MIPEM), Institute of Physics and Engineering in Medicine (IPEM). Associate Fellow (AFHEA), Higher Education Academy / Advance HE. |
Brief Biography
Omar Elnaggar is a Teaching Associate in Robotics and Intelligent Systems within the School of Engineering and Materials Science at Queen Mary University of London. He completed a PhD in Mechanical, Materials and Aerospace Engineering at the University of Liverpool and holds an MEng in Mechatronic Engineering from the University of Nottingham. Before joing Queen Mary University of London, Omar held research roles at the Universities of Liverpool, Sheffield, Glasgow and Cambridge, and specialises in healthcare-oriented human biomechanics. Alongside research, he has contributed to education innovation as an independent EdTech consultant and has engaged in entrepreneurship programmes and judged pitch competitions. He is a Full Member of IPEM (MIPEM) and an Associate Fellow of the Higher Education Academy (AFHEA).