Mohamed Haddar

Papers

Total Citations

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About

Mohamed Haddar is a researcher whose work spans robotics, autonomous systems, and model-driven engineering, with a particular focus on unmanned aerial vehicles (UAVs) and swarm intelligence. His most notable contribution, the development of **UavSwarmML** — a specialized SysML-based modeling language for UAV swarm systems — demonstrates his commitment to advancing formal frameworks for complex, multi-agent aerial systems. Published in 2022 and accumulating 15 citations, this work addresses a critical gap in the modeling of autonomous and teleoperated robotic platforms, offering engineers and researchers a structured approach to designing and reasoning about swarm behaviors across diverse UAV configurations. By leveraging Systems Modeling Language (SysML), Haddar bridges the disciplines of systems engineering and autonomous robotics, enabling more rigorous specification of swarm coordination in civilian applications. His research reflects a growing awareness of the expanding role UAVs play in domains such as search and rescue, surveillance, and logistics. For students and researchers entering the field of autonomous systems, Haddar's contributions offer both practical modeling tools and a conceptual foundation for understanding the complexities of multi-UAV coordination and deployment.