Mohd Halim Mohd Noor

Papers

Total Citations

141

H-Index

About

Mohd Halim Mohd Noor is a leading researcher in mobile robotics and artificial intelligence, with a particular focus on path planning and optimization algorithms. His most impactful work centers on developing novel meta-heuristic approaches for autonomous navigation, as demonstrated by his highly cited 2024 paper on an improved genetic algorithm for mobile robot path planning in static environments, which has garnered 107 citations. This contribution addresses a critical challenge in robotics by enhancing computational efficiency and solution quality for real-time navigation tasks. Dr. Noor further advanced the field with his work on the Enhanced Firefly Algorithm (EFA), a refined meta-heuristic technique that outperforms traditional methods in generating optimal, collision-free paths for mobile robots. Beyond robotics, he has contributed to the broader AI landscape through a comprehensive 2025 survey on state-of-the-art deep learning applications and challenges, which has already accumulated 28 citations. His research bridges theoretical algorithm development with practical robotic applications, making significant strides in autonomous systems. Dr. Noor’s work continues to influence both academic research and real-world implementations in intelligent transportation and industrial automation.