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About

Noureddine Djedi is a researcher whose work sits at the intersection of evolutionary robotics, quantum-inspired algorithms, and modular self-reconfigurable systems. His most impactful contribution explores the use of real-observation quantum genetic algorithms (RQGAs) to evolve neural controllers for self-reconfigurable modular robots, enabling adaptive locomotion in changing environments—a paper that has garnered 8 citations. Djedi has also advanced decentralized methods for evolving the physical structure of metamorphic robots, allowing modules to autonomously reorganize their connectivity to adapt to new tasks or recover from damage. His work extends to humanoid gait evolution in simulated environments and the development of a CUDA-based hybrid metaheuristic for fast evolutionary robot control, achieving efficient real-time behavior through parallel processing. With a research portfolio that bridges theoretical quantum computing concepts with practical robotic applications, Djedi’s contributions are shaping how robots can autonomously adapt both their morphology and control systems. His work is particularly relevant for researchers in evolutionary robotics, modular systems, and bio-inspired computation, offering novel pathways toward more resilient and adaptive autonomous agents.