R Package: eegwhiten
Published:
R Package Developer
A comprehensive toolkit implementing various whitening transformations (PCA, ZCA, Cholesky) for EEG signal preprocessing.
Published:
R Package Developer
A comprehensive toolkit implementing various whitening transformations (PCA, ZCA, Cholesky) for EEG signal preprocessing.
Published:
R Package Developer
Implemented geometric data augmentation techniques on the Riemannian manifold to improve Motor Imagery EEG classification.
Published:
Rank: 98/2767 (Top 4%) | Silver Medal
Developed a deep learning pipeline using EfficientNet and Weighted Ensembling to classify seizures and harmful brain patterns from EEG signals.
Published:
R Package Developer
A physics-constrained simulation engine for generating synthetic 3rd-order EEG tensors ($Time imes Space imes Trial$) with ground-truth validation.