Noureddine Toumi

Papers

Total Citations

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About

Noureddine Toumi is a researcher at the intersection of multi-agent systems, game theory, and robotics, with a focus on developing reliable, scalable solutions for autonomous decision-making. His most cited work, "RISCuer: a reliable multi-UAV search and rescue testbed" (2021, 9 citations), introduces a robust experimental platform for coordinating unmanned aerial vehicles in time-critical search and rescue missions, addressing key challenges in communication and fault tolerance. Toumi also advances theoretical foundations with "A mean field game approach for a class of linear quadratic discrete choice problems with congestion avoidance" (2023, 8 citations), where he applies mean field game theory to model large-scale agent interactions, enabling efficient congestion management without centralized control. This work bridges practical robotics and high-level strategic optimization, offering tools for autonomous systems in dynamic, resource-constrained environments. His contributions are particularly valuable for students and researchers exploring multi-UAV coordination, distributed control, and game-theoretic models for real-world applications. Toumi’s research demonstrates a clear trajectory from testbed implementation to theoretical modeling, making him a notable figure in the growing field of autonomous multi-agent systems.