Research

Our research focuses on multiple dimensions of health informatics. We build software systems that are relevant to secured health data-sharing, machine learning models that evaluate climate factors against health & natural hazards, and medical imaging analysis.

Current Works

Climatic analysis of infectious disease

Ethical implications of cross-domain adaptations

Low-cost IoT for gait analysis

Intelligent software systems for secured data sharing

Medical image and signal processing

Explainable & Trustworthy AI

We also work on developing explainable and trustworthy AI for health domains. Our goal is to ensure that the AI systems we build are not just accurate, but also transparent, interpretable, and fair—so that clinicians and patients can trust the decisions these systems support.