Iman Ahmed Abdul Sahib
Papers
1
Total Citations
5
H-Index
1
About
Dr. Iman Ahmed Abdul Sahib is a leading researcher in advanced robotics and intelligent control systems, whose work addresses fundamental challenges in autonomous motion under uncertainty. Her most cited study, "Hybrid integral sliding mode and fuzzy logic control for omnidirectional robots," introduces a groundbreaking hybrid control framework that combines Integral Sliding Mode Control with fuzzy logic, optimized through a modified elephant herding algorithm. This work, already garnering 5 citations since its 2025 publication, directly tackles trajectory tracking and robust motion control for nonlinear robotic systems. Dr. Abdul Sahib’s contributions are particularly notable for their practical impact on omnidirectional robot navigation, offering enhanced stability and precision in dynamic environments. Her research bridges theoretical control theory with real-world robotic applications, making her a rising authority in intelligent automation. By integrating bio-inspired optimization with sliding mode techniques, she has opened new pathways for adaptive, resilient robotic systems. Her achievements underscore a career dedicated to pushing the boundaries of autonomous robotics, with implications for industrial automation, search-and-rescue operations, and beyond.
Research Focus
Key Achievements
Top Papers
- 1