Mohamad Hazwan Mohd Ghazali

Universiti Sains Malaysia, National University of Malaysia

Papers

Total Citations

H-Index

About

Mohamad Hazwan Mohd Ghazali is a robotics researcher focused on advancing autonomous navigation and path planning for mobile robots. His work centers on developing efficient, smooth, and scalable algorithms that enable robots to operate intelligently in complex environments. His most notable contribution is the **RRT-MWOAII** (Rapidly Exploring Random Tree-Modified Whale Optimization Algorithm II), a hybrid approach that combines the exploratory power of RRT with the optimization capabilities of a modified whale algorithm. This method directly addresses the critical trade-off between computational efficiency and path smoothness, a persistent challenge in large-scale robotic applications. His research also includes comparative analyses of navigation algorithms, providing foundational insights for the field. With a growing citation record—including 3 citations for his 2024 comparative study and 2 for his 2025 RRT-MWOAII paper—Ghazali’s work is gaining traction among researchers seeking practical, hybrid solutions for autonomous systems. His contributions are particularly relevant for applications in warehouse automation, search-and-rescue, and autonomous vehicles, where reliable and smooth path planning is essential for real-world deployment.