Reem Kassem
Papers
1
Total Citations
5
H-Index
1
About
Dr. Reem Kassem is a rising researcher at the intersection of artificial intelligence, the Internet of Things (IoT), and autonomous robotics. Her work focuses on developing intelligent, decentralized systems for critical infrastructure monitoring, with a particular emphasis on pipeline crack detection. In her most cited work, "A Machine-Learning-Based and IoT-Enabled Robot Swarm System for Pipeline Crack Detection" (2024), she pioneers a novel framework that combines machine learning algorithms with a coordinated robot swarm to autonomously inspect industrial pipelines. This approach significantly reduces the human burden and safety risks associated with manual inspection, while enhancing detection accuracy. Although early in her career, her research has already garnered attention, with her top paper accumulating 5 citations shortly after publication—a strong indicator of its relevance and potential impact. Dr. Kassem’s contributions are particularly timely, as aging infrastructure in expanding urban environments demands scalable, cost-effective monitoring solutions. Her work promises to advance the field of smart infrastructure and autonomous inspection systems, positioning her as a promising voice in the next generation of engineering researchers.
Research Focus
Key Achievements
Top Papers
- 1