Mohd Ghazali Mohd Hamami
University of Technology Malaysia, Universiti Teknologi MARA
Papers
3
Total Citations
63
H-Index
2
About
Mohd Ghazali Mohd Hamami is a researcher at the forefront of swarm robotics and computational intelligence, specializing in the complex challenge of multi-target search. His work focuses on developing and optimizing bio-inspired algorithms—particularly Particle Swarm Optimization (PSO) and the Dragonfly Algorithm—to enable swarms of robots to efficiently locate targets within dynamic and constrained environments. Hamami’s major contributions include a systematic synthesis of swarm robotics strategies, as evidenced by his highly cited 2022 review on PSO for target search (38 citations) and his 2021 systematic literature review (23 citations), which together provide a critical roadmap for overcoming obstacles and minimizing search time. His 2022 study on the Dragonfly Algorithm further advances the field by addressing target search in environments with variable size, demonstrating novel adaptive capabilities. With a growing citation impact, Hamami’s work is shaping the next generation of autonomous robotic systems, offering practical solutions for applications ranging from disaster response to environmental monitoring. His research stands as a vital resource for students and engineers seeking to harness collective intelligence in robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3