Ahmad Naddi Ahmad Mazlan

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About

Ahmad Naddi Ahmad Mazlan is a researcher specializing in biomimetic robotics and autonomous underwater vehicle (AUV) systems. His work focuses on the design, modeling, and control of biologically inspired underwater vehicles that emulate fish-like propulsion and maneuvering mechanisms. His most cited paper, "Modelling and control of a biomimetic autonomous underwater vehicle" (2012, 8 citations), develops a mathematical framework for robotic fish, adapting conventional AUV concepts to improve maneuverability and efficiency at low speeds. This foundational work addresses key challenges in underwater propulsion by leveraging undulation motion inspired by nature. In a subsequent study, "Analysis of the group structure of a school of biomimetic AUVS coordinated using nearest neighbour principles" (2015, 3 citations), Mazlan explores swarm coordination, applying nearest-neighbor rules to enable collective behavior among multiple biomimetic AUVs—a step toward scalable, autonomous underwater missions. While his citation counts reflect a niche but growing field, his contributions are notable for bridging bio-inspired design with practical control systems, offering insights into energy-efficient, agile underwater robotics. Mazlan’s research holds promise for applications in environmental monitoring, underwater exploration, and defense, positioning him as a thoughtful contributor to the next generation of autonomous marine systems.