R Package: eegwhiten
Published:
R Package Developer
A comprehensive toolkit implementing various whitening transformations (PCA, ZCA, Cholesky) for EEG signal preprocessing.
Portfolio
R Package: DA4BCI
Published:
R Package Developer
Implemented geometric data augmentation techniques on the Riemannian manifold to improve Motor Imagery EEG classification.
Kaggle Silver Medal: HMS - Harmful Brain Activity Classification
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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.
R Package: TensorEEG
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.
R Package: BCIFeatR
Published:
R Package Developer
A feature-engineering toolkit for EEG-based BCI pipelines with 9 extraction methods, Riemannian geometry utilities, and a unified train/test API.
Desktop App: NeuroStream
Published:
Application Developer
A real-time BCI motor imagery streaming application with four selectable pipelines (CSP, FBCSP, TS+LDA, TS+SVM), Euclidean Alignment, and live performance visualization.
Python Package: DA4BCI
Published:
Python Package Developer
Python port of the DA4BCI R package — a unified framework for domain adaptation in EEG-based BCI with 10 methods, evaluation metrics, and benchmarking tools.
Web App: MSDA-Bench
Published:
Application Developer
An interactive Streamlit dashboard for benchmarking multi-source domain adaptation strategies in cross-session EEG classification.