Farideh Shahbazi

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About

Farideh Shahbazi is a leading researcher in nonlinear control systems and fractional-order dynamics, with a particular focus on the robust stabilization of autonomous underwater robots. Her most cited work, "Fractional-Order Super-Twisting Sliding-Mode Procedure Design for a Class of Fractional-Order Nonlinear Dynamic Underwater Robots" (2020), introduces an advanced sliding-mode control strategy that leverages fractional calculus to enhance the precision and resilience of underwater robotic systems against complex disturbances. This contribution is pivotal for improving the maneuverability and safety of autonomous underwater vehicles (AUVs) in uncertain environments. With over 5 citations, her research demonstrates growing influence in the fields of marine robotics and nonlinear control theory. Shahbazi’s work bridges theoretical advancements in fractional-order systems with practical engineering challenges, offering robust solutions for real-world applications. Her achievements underscore a commitment to pushing the boundaries of control design, making her a notable figure for students and researchers exploring the intersection of fractional calculus and robotic autonomy.