Bhawani Sankar Panigrahi

Papers

Total Citations

126

H-Index

About

Bhawani Sankar Panigrahi is a researcher at the forefront of applying artificial intelligence and the Internet of Things (IoT) to critical challenges in healthcare and medical robotics. His most impactful work focuses on the detection and prediction of COVID-19 using AI applications, a contribution that has garnered significant attention—his 2023 paper on this topic alone has accumulated 96 citations, reflecting its timely importance during the pandemic. Panigrahi’s research demonstrates how machine learning models can rapidly analyze medical data to identify infections, offering a scalable tool for early diagnosis. Beyond pandemic response, he has pioneered the development of a real-time, remote-controlled human manipulation medical robot, integrating IoT modules for seamless operation. This innovation, cited 24 times, enables precise, gesture-based control of robotic systems with live visual feedback, promising to enhance telemedicine and reduce physical contact in clinical settings. Panigrahi’s work bridges the gap between advanced computational techniques and practical medical devices, showcasing a commitment to creating accessible, life-saving technologies. His contributions are not only academically recognized but also hold tangible potential for improving patient care and public health resilience.