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Mouna Ghanai is a researcher specializing in advanced control systems for robotic manipulators, with a focus on robust nonlinear control, state estimation, and optimization. Her work centers on developing intelligent controllers that can handle uncertainties and external disturbances, combining techniques such as sliding mode control, feedback linearization, and fuzzy logic systems. A key contribution is her novel application of Biogeography-Based Optimization (BBO) to tune an extended Kalman filter for interval type-2 fuzzy sliding mode control, achieving enhanced performance in the presence of system uncertainties. She has also explored metaheuristic optimization, using Particle Swarm Optimization (PSO) to design efficient PD and PID controllers, and has proposed a robust feedback linearization framework with an optimized high-gain observer. Her research, cited in works on nonlinear system control and robotics, demonstrates a consistent effort to bridge theoretical control methods with practical implementation. With papers published between 2016 and 2024, Ghanai’s work is steadily gaining recognition for its contributions to intelligent and adaptive control strategies in robotics.