Eman Abdullah Aldakheel
Papers
1
Total Citations
6
H-Index
1
About
Eman Abdullah Aldakheel is a rising researcher in robotics and control systems, with a focus on intelligent optimization algorithms for complex mechanical systems. Her most-cited work introduces a novel Chaos-Artemisinin Optimizer, a bio-inspired algorithm that enhances the modeling and PID tuning of a 3-DOF robotic manipulator. This contribution, already garnering 6 citations since its 2025 publication, demonstrates her ability to merge nature-inspired computation with practical robotics, improving precision and efficiency in manipulator control. Aldakheel’s research spans the intersection of metaheuristic optimization, nonlinear dynamics, and adaptive control, offering innovative solutions for autonomous systems. Her work stands out for its creative integration of chaotic maps and the Artemisinin-inspired search mechanism, which outperforms traditional tuning methods. As an emerging scholar, her impact is poised to grow, with potential applications in industrial automation and medical robotics. Aldakheel’s achievements reflect a promising trajectory in advancing intelligent control, making her a notable figure for students and researchers exploring the synergy between optimization algorithms and robotic engineering.
Research Focus
Key Achievements
Top Papers
- 1