Maryam Bin-Jassem
Papers
1
Total Citations
5
H-Index
1
About
Dr. Maryam Bin-Jassem is a pioneering researcher at the intersection of artificial intelligence, the Internet of Things (IoT), and autonomous robotics. Her most-cited work, "A Machine-Learning-Based and IoT-Enabled Robot Swarm System for Pipeline Crack Detection" (2024), introduces a transformative approach to industrial infrastructure monitoring. By combining machine learning algorithms with IoT-enabled swarm robotics, Dr. Bin-Jassem addresses the critical challenge of autonomously detecting cracks in pipeline networks—a task that traditionally imposes significant burdens on human inspectors. Her system leverages collective robotic intelligence to enhance detection accuracy and operational efficiency, reducing the risks and costs associated with manual inspections. Although her work is early-stage, with 5 citations, its practical implications for smart cities and industrial automation signal a strong trajectory of influence. Dr. Bin-Jassem’s contributions exemplify how cutting-edge AI and robotics can solve real-world infrastructure problems, positioning her as an emerging leader in autonomous systems and IoT-driven engineering. Her research promises to reshape how we maintain essential urban networks, making cities safer and more resilient.
Research Focus
Key Achievements
Top Papers
- 1