My research focuses on developing trustworthy AI methods for healthcare, bias mitigation, and medical cyber-physical systems.
Healthcare Analytics 2024, 100285 • Scopus-indexed
Developed ensemble learning framework achieving 99% accuracy for maternal health risk prediction with bias reduction.
JARASET 2025, 52(1):106–121 • Scopus-indexed
Real-time environmental monitoring system with IoT sensors and machine learning for air quality prediction.
IEEE ISCC 2023, pp. 1–6 • Scopus-indexed
Novel approach combining SMOTE oversampling and Near Miss undersampling for diabetes diagnosis with XAI.
PLOS ONE • Scopus-indexed
Comprehensive framework integrating multiple disease prediction models with real-time application capabilities.
PLOS ONE • Scopus-indexed
Advanced ML approach for Parkinson's disease prediction with bias mitigation and explainable AI.