Sherif M. El-Badawy

Papers

Total Citations

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About

Sherif M. El-Badawy is a leading figure in civil and infrastructure engineering, specializing in pavement management, intelligent transportation systems, and the application of computer vision and robotics to infrastructure maintenance. His most impactful work centers on automating the labor-intensive process of pavement crack detection and repair. In his highly cited 2024 paper, "Vision-guided robot for automated pixel-level pavement crack sealing," El-Badawy introduces a novel robotic system that uses deep learning for precise, pixel-level crack identification and sealing, significantly improving efficiency and accuracy over manual methods. This contribution has garnered 17 citations in a short time, reflecting its immediate relevance to smart city and infrastructure automation research. Beyond this, El-Badawy has made notable contributions to pavement material characterization and structural health monitoring, often integrating sensor data and machine learning for predictive maintenance. His work bridges the gap between traditional civil engineering and cutting-edge robotics, offering practical solutions for aging infrastructure. For students and researchers, El-Badawy’s research exemplifies how interdisciplinary approaches can solve real-world problems, making him a key innovator in the field of automated infrastructure management.