Mahmoud Akram Khedr

British University in Egypt

Papers

1

Total Citations

4

H-Index

1

About

Mahmoud Akram Khedr is an emerging researcher at the forefront of intelligent infrastructure and smart city technologies, with a focused expertise in AI-driven robotics and predictive maintenance. His most-cited work, "AI-Driven Robotic System for Predictive Maintenance: Urban Road Defect Detection in Smart Cities" (2024), introduces a groundbreaking integrated system that combines a mobile robot, high-resolution camera, and GPS module with advanced artificial intelligence to autonomously identify and map road defects. This contribution directly addresses the critical need for proactive, cost-effective urban infrastructure management, offering a scalable solution that reduces manual inspection risks and downtime. With 4 citations in its first year, the paper signals growing recognition of its practical impact. Khedr’s work bridges robotics, computer vision, and civil engineering, positioning him as a key voice in the next generation of smart city innovation. His research not only advances autonomous systems but also provides a tangible pathway toward safer, more resilient urban environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
AI-Driven Robotic System for Predictive Maintenance: Urban Road Defect Detection in Smart Cities
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: British University in Egypt

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago