Ahmad Taher Azar
Prince Sultan University, Benha University, Nile University, British University in Dubai
Papers
70
Total Citations
1,905
H-Index
25
About
Ahmad Taher Azar is a prolific researcher whose work sits at the dynamic intersection of robotics, intelligent control systems, and computational intelligence. His research has made significant strides in mobile robot path planning, with his 2020 study on aging-based ant colony optimization garnering 194 citations, establishing him as a leading voice in autonomous navigation for both static and dynamic environments. Azar has consistently advanced the design of sophisticated control architectures, including fractional PID controllers, adaptive sliding mode control, and synergetic control systems, demonstrating a remarkable breadth across theoretical and applied domains. His contributions to chaos theory — particularly Takagi-Sugeno fuzzy logic control for chaotic systems — have attracted over 100 citations, reflecting the wide relevance of his foundational work. During the COVID-19 pandemic, Azar pivoted meaningfully to explore how robotics and intelligent systems could serve humanitarian needs, earning 115 citations for that timely contribution. With multiple highly cited papers spanning swarm optimization, fuzzy logic, and parallel robotics, his cumulative impact underscores a career dedicated to pushing the boundaries of autonomous systems and intelligent engineering solutions.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robotics and Intelligent Systems Against a Pandemic115 citations · 2021
- 3Takagi-Sugeno fuzzy logic controller for Liu-Chen four-scroll chaotic system100 citations · 2016
- 4
- 5
- 6Adaptive Sliding Mode Control of the Furuta Pendulum78 citations · 2014
- 7
- 8
- 9
- 10Robust Path Tracking of Mobile Robot Using Fractional Order PID Controller56 citations · 2019