Hassan Albalawi

Conference paper describing a low-power hardware implementation for movement decoding in BCI systems, including efficient feature extraction (reduced-resolution DCT) and dual look-up table architectures to support on-chip classifiers.

Patent describing a brain–muscle electrical fusion sensing approach and autonomous learning methods for rehabilitation exoskeletons and assistive devices, addressing limitations of existing EEG/EMG signal acquisition and interpretation.

Academic publications and coauthored papers on low-power on-chip machine-learning algorithms (e.g., LDA-FP, SVM-FP, LR-FP) and BCI/movement-decoding topics.