Aezeden Mohamed

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About

Dr. Aezeden Mohamed is a leading researcher in structural health monitoring and robotic inspection systems, with a particular focus on the early detection of material degradation in industrial infrastructure. His most-cited work, “Robotic Model for Unmanned Crack and Corrosion Inspection” (2019, 13 citations), addresses a critical challenge in maintaining structural integrity: the formation of cracks and corrosion due to stress, loading conditions, and environmental factors over prolonged material usage. Dr. Mohamed’s major contribution lies in developing an unmanned robotic model that enables periodic, automated inspection of structures—reducing human risk and improving detection accuracy in industries where structural failure can have catastrophic consequences. By integrating robotics with non-destructive evaluation techniques, his research provides a scalable solution for monitoring aging infrastructure, from pipelines to bridges. This work has been recognized for its practical impact on industrial safety protocols and maintenance planning. Dr. Mohamed’s ongoing efforts continue to advance the intersection of robotics and materials science, making him a key figure in the push toward smarter, safer infrastructure management.