Kasim M. Al-Aubidy

Philadelphia University, Tishk International University

Papers

Total Citations

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About

Kasim M. Al-Aubidy is a researcher whose work spans intelligent control systems, swarm robotics, and adaptive machine learning, with a particular focus on applying advanced computational methods to real-world automation and robotics challenges. His most recognized contribution, a 2018 study on cooperative search and rescue using a modified Binary Dragonfly Algorithm, demonstrates his innovative approach to multi-robot coordination, enabling swarms of autonomous agents to collaboratively execute complex rescue missions — a paper that has garnered 8 citations and reflects growing interest in bio-inspired optimization for robotics. Earlier work from 2004 explored Hierarchical Neuro-Fuzzy Model Reference Adaptive Control (MRAC) for robotic systems in flexible manufacturing environments, showcasing his long-standing commitment to bridging neural networks and fuzzy logic for robust industrial control. More recently, his 2024 research on ANFIS-based speed control for Permanent Magnet Synchronous Machines highlights his continued relevance in modern automation, addressing limitations of conventional PID controllers in precision motor applications. Across his career, Al-Aubidy has consistently pushed the boundaries of intelligent systems design, making meaningful contributions to adaptive control theory and autonomous robotics that remain pertinent to both academic researchers and industry practitioners.