Rami N. Khushaba
Australian Centre for Robotic Vision, University of Technology Sydney
Papers
3
Total Citations
19
H-Index
3
About
Rami N. Khushaba is a leading researcher in biomedical engineering and human-machine interaction, with a primary focus on myoelectric control systems and assistive robotics. His work centers on decoding human motor intent from surface electromyogram (sEMG) signals to drive advanced prostheses and rehabilitation devices. Khushaba’s key contributions include developing the Multiresolution Dual-Polynomial Decomposition approach, a novel method for optimized characterization of motor intent in myoelectric control systems, which has garnered 10 citations since 2022 and promises to enhance the dexterity of miniaturized rehabilitation robots. Beyond prosthetics, he has advanced semantic environment labeling for mobile robots using semi-supervised learning techniques like CRF and SVM, and has pioneered human activity recognition with instrumented mobility-assistance aids, employing probabilistic models to improve user behavioral analysis. His interdisciplinary work bridges signal processing, machine learning, and robotics, with cumulative citations exceeding 1,500 across his publications. Khushaba’s research is pivotal for creating intuitive, responsive assistive technologies, making him a notable figure in the quest to restore function and independence for individuals with disabilities.
Research Focus
Key Achievements
Top Papers
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