Sujan Yenuganti

Birla Institute of Technology and Science, Pilani

Papers

Total Citations

H-Index

About

Dr. Sujan Yenuganti is a leading researcher at the intersection of healthcare technology, artificial intelligence, and the Internet of Things (IoT), with a particular focus on deploying advanced computational solutions in resource-constrained environments. His most impactful work addresses the critical challenge of equitable healthcare access, as demonstrated by his highly cited 2021 paper on an IoMT and DNN-enabled drone-assisted COVID-19 screening framework. This pioneering study, which has garnered 40 citations, proposes an innovative system that integrates deep neural networks with drone technology and the Internet of Medical Things to enable rapid, remote testing and diagnosis in rural areas—a vital contribution during the pandemic. Dr. Yenuganti’s research is characterized by its practical, humanitarian focus, aiming to bridge the gap between cutting-edge AI and underserved populations. His work has been instrumental in showing how intelligent, drone-based systems can overcome infrastructural barriers, providing a scalable model for future epidemic response and remote healthcare delivery. Through these contributions, he is shaping the future of decentralized, AI-powered medical diagnostics.