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Jie Niu is a leading researcher in rehabilitation robotics, specializing in the development of intelligent control systems for cable-driven upper-limb rehabilitation robots. His work addresses critical challenges in robot-assisted therapy, particularly in achieving precise tracking control despite system uncertainties and external disturbances. Niu's most influential contribution is his pioneering integration of sliding mode control with nonlinear disturbance observers, as demonstrated in his 2017 paper (34 citations), which significantly enhances the robustness and safety of rehabilitation robots during patient interaction. He has further advanced the field by implementing admittance control for three-dimensional workspace operations and developing EMG-based control strategies for intuitive movement assistance. With over 68 total citations across his key publications, Niu's research bridges the gap between theoretical control engineering and practical clinical applications. His notable achievements include the development of a 3-DOF cable-driven rehabilitation robot capable of operating in three-dimensional space, representing a significant step toward more natural and effective rehabilitation therapies. Niu's work continues to influence the design of safer, more adaptive robotic systems for upper-limb rehabilitation.