R Package: eegwhiten
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R Package Developer
Whitening and covariance-alignment tools for EEG features, with reusable fit/transform models, shrinkage, robust covariance estimators, Euclidean alignment, and tangent-space utilities.
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R Package Developer
Whitening and covariance-alignment tools for EEG features, with reusable fit/transform models, shrinkage, robust covariance estimators, Euclidean alignment, and tangent-space utilities.
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R Package Developer
A unified R framework for EEG/BCI domain adaptation, including TCA, SA, CORAL, GFK, MIDA, Riemannian transport, optimal transport, and shift metrics.
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R Package Developer
A train/test-safe EEG feature extraction toolkit for BCI pipelines, including CSP/FBCSP, tangent-space covariance features, bandpower, Hjorth, ATM, MVAR, and MSVAR features.
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R Package Developer
A physics-constrained EEG simulator and covariance-aware augmentation audit package for cross-session BCI research.
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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.
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Python Package Developer
Python implementation of DA4BCI, providing EEG/BCI domain adaptation methods, shift metrics, SPD geometry tools, Page-Hinkley drift detection, and plotting utilities.
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Python Package Developer
Python port of TensorEEG for physics-constrained EEG simulation, SPD covariance augmentation, fidelity auditing, and manifest replay.
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Python Package Developer
A cross-session EEG classification runner for MAP, DWP, MMP, and BDP domain-adaptation pipelines.
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Dashboard Developer
A Streamlit dashboard for comparing multi-source domain adaptation strategies in cross-session EEG classification.
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Dashboard Developer
A Streamlit dashboard for diagnosing MI-EEG session drift, domain-adaptation benefit, retraining gaps, and online drift triggers.
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Application Developer
A pseudo-online BCI motor imagery replay application with four selectable pipelines (CSP, FBCSP, TS+LDA, TS+SVM), Euclidean Alignment, and live performance visualization.
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Application Developer
A dependency-free browser visualizer for understanding how domain adaptation methods move source and target distributions.
Manuscript under review
A matched comparison of global vs. selective source-session pooling strategies for cross-session EEG transfer, with confidence-interval gating for robust strategy selection.
Manuscript under review
A geometric framework that diagnoses BCI performance degradation by separating signal drift into raw sensor variability and feature-space distortions.
Manuscript under review
Proposing a ‘Linear-First’ decision rule using Paired Non-Inferiority Tests (TOST) to balance decoding accuracy against computational cost.
Manuscript in preparation
A tensor-based statistical framework extending MCCA to high-dimensional datasets, preserving structural information in multi-view neuroimaging analysis.
Published:
Authors: Yiming Shen, David Degras (University of Massachusetts Boston)
Published:
Authors: Yiming Shen, David Degras (University of Massachusetts Boston)