Dr. Krishnaraj Chadaga

Dr. Krishnaraj Chadaga is an Indian academic, researcher, and Assistant Professor at the Manipal Institute of Technology specializing in Artificial Intelligence, Machine Learning, Data Science, and Explainable AI. His research primarily focuses on developing intelligent and interpretable AI-driven systems for healthcare analytics, disease prediction, and decision-support applications. Over the years, he has contributed extensively to interdisciplinary research involving deep learning, ensemble learning, biomarker analysis, and predictive healthcare modeling. His work aims to bridge the gap between advanced AI techniques and practical clinical applications by creating transparent, accurate, and reliable models that can assist medical professionals in early diagnosis and personalized treatment planning. Dr. Chadaga has published numerous research papers in reputed international journals and conferences, with notable contributions in areas such as cancer prediction, COVID-19 diagnosis, heart disease detection, Alzheimer’s disease forecasting, and AI-assisted healthcare systems.

In addition to healthcare, he has also explored AI applications in agriculture, including paddy yield prediction and sustainable development-oriented analytics. His research often integrates Explainable Artificial Intelligence (XAI) techniques such as SHAP and LIME to improve model interpretability and trustworthiness. Through his academic teaching, mentoring, and research activities, he continues to contribute to advancements in AI-driven scientific innovation and interdisciplinary technology development in India. Current School Roles: Crisis managament coordinator, Website coordinator, Student publications management.