Fatima Matook
Papers
1
Total Citations
5
H-Index
1
About
Dr. Fatima Matook is a rising researcher at the forefront of intelligent infrastructure monitoring, specializing in the convergence of machine learning, the Internet of Things (IoT), and swarm robotics. Her most-cited work, "A Machine-Learning-Based and IoT-Enabled Robot Swarm System for Pipeline Crack Detection" (2024, 5 citations), introduces a novel, autonomous framework that leverages collaborative robot swarms to detect structural faults in critical pipeline networks. This contribution directly addresses the immense human burden and safety risks associated with manual pipeline inspection in expanding urban environments. By integrating IoT sensors with machine learning algorithms, Dr. Matook’s system enables real-time, decentralized detection of cracks, significantly improving the speed and reliability of infrastructure health monitoring. Her research is pivotal in shifting pipeline maintenance from reactive, labor-intensive practices to proactive, automated solutions. As a forward-thinking scholar, Dr. Matook’s work not only advances the field of civil infrastructure management but also sets a new standard for the application of swarm intelligence in industrial IoT systems, promising safer and more resilient urban utilities.
Research Focus
Key Achievements
Top Papers
- 1