Ayad Al-Mahturi

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About

Ayad Al-Mahturi is a rising researcher in intelligent control systems, specializing in aerial and mobile robotics under uncertainty. His work centers on developing self-learning, type-2 fuzzy logic controllers that can adapt in real time to dynamic and unpredictable environments. In his highly cited 2021 paper, Al-Mahturi introduced an enhanced self-adaptive interval type-2 fuzzy control system (ESAF2C) for stabilizing quadrotor drones under external disturbances, leveraging the footprint-of-uncertainty to improve robustness. This work has earned 24 citations and established his reputation in autonomous flight control. Building on this, his 2023 paper presents a novel type-2 evolving fuzzy control system (T2-EFCS) for mobile robots, capable of self-learning from scratch—both in structure and parameters—without requiring pre-defined rules. With 18 citations, this contribution addresses large uncertainties in ground robotics, showcasing his ability to bridge theory and practical deployment. Al-Mahturi’s research is notable for its focus on evolving, data-driven fuzzy systems that enhance autonomy and resilience, making him a key voice in next-generation adaptive robotics.