Nawal El Ghouate

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About

Nawal El Ghouate is a rising researcher in computational intelligence and robotics, whose work focuses on advancing optimization algorithms for real-world control systems. Her key research areas include metaheuristic optimization, robotics control, and autonomous navigation. She is best known for developing the Chaotic Puma Optimizer Algorithm, a novel enhancement of the Puma optimization method that introduces chaotic dynamics to improve search efficiency and solution accuracy. This algorithm has been successfully applied to the control of wheeled mobile robots, addressing critical challenges in automation, logistics, and space exploration. Her most-cited paper, "Chaotic Puma Optimizer Algorithm for controlling wheeled mobile robots" (2025), has already garnered 12 citations, reflecting its immediate impact on the field. El Ghouate’s work bridges the gap between theoretical optimization and practical robotic applications, offering more robust and adaptive control strategies. Her contributions are particularly valuable for industries requiring precise and reliable autonomous systems, and her innovative approach positions her as a promising voice in the next generation of intelligent robotics research.