Moufid Mansour

University of Sciences and Technology Houari Boumediene

Papers

Total Citations

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About

Moufid Mansour is a researcher at the forefront of intelligent manufacturing and robotic control systems. His work primarily focuses on the integration of Cyber-Physical Production Systems (CPPS) and Multi-Agent Systems (MAS) to enable autonomous, Industry 4.0-compliant manufacturing. Mansour’s most significant contribution is a pioneering framework for the virtual commissioning of agent-based CPPS, which allows for the safe and efficient deployment of autonomous production cells within real manufacturing facilities. This work, published in 2022, has already garnered 8 citations, signaling its growing influence in the field of smart factories. In parallel, Mansour has advanced the reliability of industrial robotics through his 2021 study on fault detection and compensation. By combining switched time delay control with artificial neural networks, he developed a method that allows robot manipulators to maintain performance even when sensors fail. This work, with 5 citations, demonstrates his commitment to creating robust, fault-tolerant systems. Through these contributions, Mansour is helping to bridge the gap between theoretical multi-agent systems and practical, resilient industrial automation.