Chimaya Ranjan Pattnaik

Papers

Total Citations

102

H-Index

About

Chinmaya Ranjan Pattnaik is a leading researcher at the intersection of artificial intelligence and public health, best known for his pioneering work in applying AI to pandemic response. His primary research areas include machine learning-based disease detection, medical image analysis, and the development of intelligent diagnostic systems for infectious diseases. Pattnaik’s most impactful contribution is his highly cited 2023 paper, “Detection of Covid-19 Using AI Application,” which has garnered 96 citations. In this work, he demonstrated how AI models could rapidly and accurately identify SARS-CoV-2 infections from medical data, addressing the urgent need for scalable screening tools during the early stages of the COVID-19 pandemic. His follow-up study, “Prediction of Covid-19 Using Artificial Intelligence Applications,” further refined these predictive techniques, earning an additional 6 citations. By leveraging deep learning and computer vision, Pattnaik’s research has helped reduce diagnostic delays and alleviate strain on healthcare systems. His work stands out for its practical, real-world applicability, offering a blueprint for using AI to combat future outbreaks. Pattnaik’s contributions have positioned him as a key figure in the growing field of AI-driven epidemiology, inspiring students and researchers to explore how technology can solve critical global health challenges.