Hussein Mohammed Ridha
Papers
2
Total Citations
37
H-Index
2
About
Hussein Mohammed Ridha is an emerging researcher in industrial automation and intelligent control systems, with a focus on optimizing robotic manipulators and mobile robot platforms. His work bridges advanced optimization algorithms and fractional-order control theory to enhance the performance of real-world mechatronic systems. Ridha’s most cited paper, "Selection and Evaluation of Robotic Arm based Conveyor Belts (RACBs) Motions: NARMA(L2)-FO(ANFIS)PD-I based Jaya Optimization Algorithm" (2024, 28 citations), introduces a novel hybrid control framework that integrates neural networks, adaptive neuro-fuzzy inference systems, and fractional-order PID control—optimized via the Jaya algorithm—to improve the precision and efficiency of robotic arm motions on conveyor belts. This work has attracted global interest for its practical impact on industrial automation. More recently, his 2025 paper on an "Accelerated black hole optimization algorithm with enhanced FOPID controller for omni-wheel drive mobile robot system" (9 citations) extends his expertise to mobile robotics, demonstrating a computationally efficient approach to trajectory tracking and stability. Ridha’s contributions are notable for their interdisciplinary synthesis of metaheuristic optimization, fractional calculus, and adaptive control, positioning him as a promising voice in next-generation intelligent manufacturing and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2