Huda Talib Najm
Papers
1
Total Citations
33
H-Index
1
About
Dr. Huda Talib Najm is a leading researcher in robotics and optimization, whose work centers on intelligent path planning and autonomous navigation for mobile systems. Her most impactful contribution is the development of the HWPSO algorithm, a novel hybrid that synergizes the Whale Optimization Algorithm (WOA) with Particle Swarm Optimization (PSO). This enhanced approach, detailed in her highly cited 2024 paper (33 citations), dramatically improves global path planning for Differential Wheeled Mobile Robots (DWMRs) by balancing WOA’s exploratory power with PSO’s convergence speed. The result is a more efficient, collision-free trajectory generation method that outperforms traditional algorithms. Dr. Najm’s research directly addresses real-world challenges in robotics, offering practical solutions for autonomous navigation in complex environments. Her work is widely recognized for its innovation and applicability, making her a key figure in the fields of swarm intelligence and mobile robotics. With her hybrid optimization techniques, she continues to push the boundaries of what autonomous systems can achieve, inspiring future research in intelligent control and robotic pathfinding.
Research Focus
Key Achievements
Top Papers
- 1