About
Dr. Sarat Kumar Chettri is an Associate Professor in the Department of Computer Applications, School of Technology, Assam Don Bosco University, Guwahati, India. He holds a Ph.D. in Computer Science and Engineering from Tezpur University. His research interests include Machine Learning, Data Science, Health Informatics, Privacy-Preserving Data Mining, Internet of Things (IoT), and Trustworthy Artificial Intelligence. He has published research in reputed national and international journals and conferences and has contributed to government-funded research projects. He currently serves as the Head of the Centre for Health Informatics and Data Science (CHiDS), leading interdisciplinary research on AI-driven solutions for healthcare and education.
Employment
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Assam Don Bosco University Associate Professor
Education
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Tezpur University Ph.D.
Projects & Funding
Projects & funding information is unavailable.
Publications (23)
- A Technology-Driven Assistive Learning Tool and Framework for Personalized Dyscalculia Interventions Save
- Bridging the Gap in the Adoption of Trustworthy AI in Indian Healthcare: Challenges and Opportunities Save
- Assessing the Impacts of Land Use and Land Cover Changes on Sediment Yield Using the SWAT Model: A Case Study in the Khlong Bang Yai Watershed, Phuket Island, Thailand Save
- A Remote Health Monitoring System for the Elderly Based on Emerging Technologies Save
- Advancing Heart Disease Prediction through Synergistic Integration of Machine Learning and Deep Learning Techniques Save
- Assessment and Prediction of Urban Pollutants and its Influence on Human Health using Deep Learning Algorithm Save
- Development of an efficient novel method for coronary artery disease prediction using machine learning and deep learning techniques Save
- Evaluation of land use land cover dynamics and urban heat island effects over Mumbai metropolitan Region, India Save
- Predicting Coronary Artery Disease using an Ensemble Voting Model and Machine Learning Techniques Save
- Unlocking Math Potential: EDSense - A Personalized Intervention Tool for Children with Dyscalculia Save