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 including 3D reconstructions from scans.
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.
A dedicated group of researchers, interns, and trainees working together to advance health informatics.

Works on research activities based on medical imaging and 3D reconstructions.
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Works on neural networks, mathematical modeling and climatic analysis of various hazards.
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Works on intelligent software systems and application development.
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Works on ethical practices of AI implementation and cloud based practices of health data.
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Works on signal processing and analysis of bio-mechanical systems.
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