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About

Mazen Bahaidarah is a rising researcher in swarm robotics, focusing on bio-inspired collective motion and multi-robot coordination. His work centers on developing optimization-driven algorithms that enable robot swarms to self-organize and move cohesively, mimicking natural behaviors seen in bird flocks and fish schools. His most cited paper, "Swarm flocking using optimisation for a self-organised collective motion" (2024), has already garnered 23 citations, highlighting its impact in the field. Bahaidarah’s contributions include the application of genetic algorithms to optimize flocking parameters and the introduction of a leader-follower approach to improve formation control. His research also extends to heterogeneous multi-robot systems, where he has proposed Lyapunov stability-driven control algorithms for robust coordination. With additional works on virtual viscoelastic links for collective motion, Bahaidarah is advancing the practical deployment of scalable, autonomous swarms. His growing citation record and recent publications signal a promising trajectory in swarm intelligence and robotics, offering valuable insights for students and researchers exploring self-organized systems.