Assistant Professor


Research Area \ Research Statement \ Research Group Info

My research lies at the intersection of Artificial Intelligence, Machine Learning, and Healthcare Informatics, with a focus on developing data-driven prognostic models for clinical diagnosis and decision support systems. I aim to bridge the gap between computational intelligence and real-world medical applications by designing algorithms that are interpretable, reliable, and context-aware.

My current work explores AI-based prognostic modeling, predictive analytics for disease progression, and intelligent data clustering for healthcare data. I am particularly interested in leveraging Deep Learning architectures, Explainable AI (XAI), and computational models for biomedical data to assist clinicians in early diagnosis and personalized treatment planning.