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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About Me
Ph.D. Candidate & Data Scientist
Posts
Research Note: Markov-Switching State-Space Models for Neural Decoding
Published:
A working note on using regime-switching linear state-space models for non-invasive brain-signal decoding.
ICA Objective Functions in One Place: Kurtosis, Negentropy, MI, and MLE
Published:
A compact map of the main ICA objective functions and their algorithmic implications.
From Matrix ICA to Tensor ICA: Architectures and Decomposition Choices
Published:
A concise bridge from classical ICA to multilinear/tensor ICA design choices.
Practical Guide: Distribution Distance Metrics for EEG Domain Adaptation
Published:
A practical note on Wasserstein, MMD, and Energy Distance for quantifying session-to-session shift in EEG pipelines.
Mathematical Derivation: PCA Whitening Implementation
Published:
A deep dive into the PCA whitening algorithm implemented in the eegwhiten package.
Mathematical Derivation: Cholesky Whitening Implementation
Published:
Efficient whitening using Cholesky decomposition in the eegwhiten package.
Mathematical Derivation: ZCA Whitening Implementation
Published:
Understanding Zero-phase Component Analysis (ZCA) whitening in eegwhiten.
Mathematical Derivation: SVD Whitening Implementation
Published:
Using Singular Value Decomposition (SVD) for robust whitening in eegwhiten.
portfolio
R Package: eegwhiten
Published:
R Package Developer
A comprehensive toolkit implementing various whitening transformations (PCA, ZCA, Cholesky) for EEG signal preprocessing.
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
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.
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.
research
Confidence-Gated Adaptation for Cross-Session BCI: A Decision-Oriented Framework
Working Paper (Under Review)
Introducing a ‘Confidence-Interval Gating’ mechanism to quantify uncertainty in distributional shift measurements, enabling robust strategy selection for BCI decoding.
Drift-Feature-Performance Decomposition in MI-EEG via Structured Geometric Modeling
Working Paper (Under Review)
A geometric framework that diagnoses BCI performance degradation by separating signal drift into raw sensor variability and feature-space distortions.
Balancing Performance and Stability in Motor Imagery EEG Decoding: A Linear-First Approach
Working Paper (Under Review)
Proposing a ‘Linear-First’ decision rule using Paired Non-Inferiority Tests (TOST) to balance decoding accuracy against computational cost.
Tensor Multiple Canonical Correlation Analysis (TMCCA): A Framework for Multi-View High-Dimensional Data Integration
Working Paper (In Preparation)
A novel tensor-based statistical framework extending MCCA to high-dimensional datasets, preserving structural information in multi-view neuroimaging analysis.
talks
Benchmarking Classification Pipelines Within and Across Sessions on the PhysioNet EEG Dataset
Published:
Authors: Yiming Shen, David Degras (University of Massachusetts Boston)