Funded research projects, thesis work, and open-source tools developed at BNIRA Lab.
NeuroSwin explores the use of hybrid deep learning for neurological disorder diagnosis from EEG signals. We are developing a model that combines Swin Transformer and GRU architectures to classify Parkinson's Disease and identify its source regions in the brain, with the goal of supporting non-invasive, early neurological assessment.