MOMENTA — Mixture-of-Experts for Multimodal Misinformation Detection
PyTorch framework combining modality-specific experts, cross-modal alignment, and temporal reasoning for fake-news detection.
- PyTorch
- multimodal
- mixture-of-experts
- misinformation
Projects & Experiments
Things I've built, prototypes, and experiments in progress.
PyScale — Nucleotide Propensity-Scale Toolkit
Alignment-free nucleotide sequence analysis with 267 propensity scales and Lyapunov-based complexity estimation.
- bioinformatics
- Python
- dynamical systems
- genomics
EMO-CARE — Subject-Independent EEG Emotion Recognition
Lightweight multi-scale TCN with feature-level attention for robust, real-time EEG emotion recognition under LOSO.
- PyTorch
- EEG
- emotion recognition
- deep learning
Calibrated Multimodal Fatigue Detection
Parameter-efficient LoRA + Mixture-of-Experts fusion of EEG, HRV, and EDA for calibrated fatigue estimation.
- PyTorch
- physiological signals
- LoRA
- mixture-of-experts
EmoTCN-Attn — Multi-Scale TCN + Attention for EEG Emotion Recognition
Multi-scale temporal convolution with multi-head attention for EEG emotion recognition, with extensive ablations.
- PyTorch
- EEG
- emotion recognition
- attention
AI-Guided Digital Oncology — Nanoparticle Tumor Modeling
Hybrid framework: mechanistic ODEs of nanoparticle-tumor transport, Bayesian MCMC, and LSTM/Neural-ODE validation.
- mathematical modeling
- Bayesian
- MCMC
- Neural ODE
StratifyML — Hospital Analytics for Vulnerable Populations
Frequent-itemset mining over hospital CPT/ICD codes to surface treatment patterns and outcome disparities across 13 vulnerable groups.
- data science
- healthcare
- frequent itemset mining
- pandas
E-CaTCH — Event-Centric Misinformation Detection
Event-centric multimodal framework with cross-modal attention, trend-aware temporal modeling, and class-imbalance handling.
- PyTorch
- multimodal
- attention
- misinformation
Cancer Tumour Modeling with Magnetic Nanoparticles
PDE/ODE tumor-nanoparticle model with Bayesian MCMC estimation and GPR/RF/GBM predictive comparison.
- mathematical modeling
- Bayesian
- MCMC
- scikit-learn
Hospital Efficiency Analysis with DEA
Data Envelopment Analysis of hospital efficiency combining HCAHPS survey and operational data.
- data science
- healthcare
- operations research
- optimization
Explainable COVID-19 Chest X-ray Classification
CNN/VGG16 classifier for chest X-rays with Grad-CAM, Integrated Gradients, and adversarial robustness analysis.
- TensorFlow
- medical imaging
- explainable AI
- computer vision
Evolutionary Neural Network Optimization
Single- and multi-objective evolutionary algorithms for optimizing neural-network training, trading off accuracy and speed.
- PyTorch
- evolutionary algorithms
- optimization
- AutoML
Autism Spectrum Disorder Classification
Classical ML pipeline (XGBoost, SVM, GBM) with feature engineering for ASD screening data.
- machine learning
- healthcare
- XGBoost
- scikit-learn
LSTM Stock Price Forecasting
LSTM neural networks forecasting stock prices from historical data — the intersection of ML and financial analysis.
- machine learning
- LSTM
- time series
- finance