Wan Zafira Ezza Wan Zakaria
Papers
1
Total Citations
10
H-Index
1
About
Dr. Wan Zafira Ezza Wan Zakaria is a leading researcher in intelligent robotics and autonomous navigation, with a primary focus on developing advanced optimization algorithms for mobile robot path planning. Her most impactful work introduces the Alpha–Beta Guided Particle Swarm Optimization (ABGPSO) algorithm, a novel approach that significantly enhances global path planning performance by integrating directional guidance into traditional particle swarm methods. This breakthrough, published in 2025 and already garnering 10 citations, demonstrates her ability to address critical challenges in real-time obstacle avoidance and energy-efficient route computation for autonomous systems. Dr. Zakaria’s contributions extend beyond algorithmic innovation; her research bridges theoretical optimization with practical robotic applications, offering scalable solutions for industrial automation, search-and-rescue missions, and autonomous vehicles. Her work is widely recognized for its potential to reduce computational overhead while improving path smoothness and safety. As an emerging scholar, she continues to shape the future of intelligent mobility, inspiring students and researchers to explore the intersection of swarm intelligence and robotics. Her growing citation record underscores the immediate relevance of her findings to both academic and engineering communities.
Research Focus
Key Achievements
Top Papers
- 1