Nael Jaber
Papers
2
Total Citations
7
H-Index
2
About
Nael Jaber is a robotics and computer vision researcher whose work bridges autonomous systems and environmental monitoring. His research focuses on developing intelligent robotic platforms for infrastructure inspection and ecological surveillance, leveraging deep learning and multi-modal sensing. Jaber’s most impactful contribution is the Deep-Pest-Detector system, which combines aerial drones with RGB and thermal imagery to automatically detect and geo-locate processionary moth nests on pine trees. This work, cited 4 times, integrates a custom deep neural network with a Kalman filter for precise GPS-based nest mapping, offering a scalable solution for pest management in forestry. Additionally, his design of a windmill climbing robot addresses the hazardous task of turbine maintenance, proposing a robotic mechanism to reduce human risk in the growing wind energy sector. Though early in his career, Jaber’s work demonstrates a clear trajectory toward practical, high-impact applications of robotics in agriculture and renewable energy, showcasing how autonomous systems can solve real-world environmental and industrial challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2Windmill Climbing Robot3 citations · 2018