Sami Hussein
Papers
4
Total Citations
40
H-Index
3
About
Sami Hussein is a leading researcher in the field of robotic gait rehabilitation, with a focus on developing advanced control systems for neurological therapy. His work centers on the HapticWalker, an end-effector-based robotic walking simulator designed to restore mobility in patients with gait impairments. Hussein’s major contributions include pioneering patient-adaptive control frameworks that enhance rehabilitation outcomes by increasing the patient’s active participation during training. He has also developed stable, adaptive interaction and contact transition control methods for high-inertia haptic interfaces, enabling more realistic and effective haptic simulation in gait therapy. His most cited paper, "Effect of different training modes on ground reaction forces during robot assisted floor walking and stair climbing" (2009, 25 citations), provides critical insights into how varying training modes impact biomechanical forces, informing the design of more responsive rehabilitation robots. Additionally, his work on structural analysis methods for optimizing complex kinematic structures has advanced the design of robotic walking simulators. With a cumulative impact spanning over 40 citations, Hussein’s research is instrumental in bridging robotics, haptics, and clinical rehabilitation, offering transformative tools for improving patient outcomes in neurological recovery.
Research Focus
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Top Papers
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