// Research
Papers & Publications
Peer-reviewed work at the intersection of health, verification and applied machine learning.
Conference2026SPECTRA 2026 (Symposium on Photonics, Emerging Computational Technologies, Research & AI-Data Science)
PulseThread: A Verification-Centred Mobile Platform for Real-Time Blood Donor Mobilisation
Introduces PulseThread, a deployed mobile platform for coordinating real-time blood donor mobilisation in low-resource contexts like Bangladesh. Uses a verification-first design with single-use QR codes across three checkpoints (arrival, cross-match, donation) to prevent no-shows and fraudulent intermediaries.
Conference2026SPECTRA 2026 (Symposium on Photonics, Emerging Computational Technologies, Research & AI-Data Science)
Predicting Maternal Health Risk from Clinical Vital Signs Using Machine Learning
Develops a machine learning pipeline to classify maternal health risk (Low, Mid, High) using six routinely collected vital signs plus seven engineered hemodynamic features. An Extra Trees ensemble achieved 82.2% accuracy and 0.9396 AUC with SHAP explainability for clinical interpretability.