Gunasekaran Manogaran

University of California, Davis, Howard University

Papers

Total Citations

H-Index

About

Gunasekaran Manogaran is a leading researcher at the intersection of big data analytics, the Internet of Things (IoT), and healthcare robotics. His work focuses on developing innovative, data-driven solutions for real-world medical challenges, particularly in assistive technologies. Manogaran’s most-cited paper, "Innovative and efficient method of robotics for helping the Parkinson's disease patient using IoT in big data analytics" (2019, 58 citations), exemplifies his core contribution: integrating massive IoT sensor data with big data frameworks to enhance robotic sensing and prediction for patient care. This research addresses critical limitations in traditional healthcare sensing, offering a more accurate, scalable approach to monitoring and assisting individuals with neurodegenerative conditions. Beyond this landmark study, Manogaran has contributed to the theoretical foundations of human-robot interaction, as seen in his editorial work on cognitive computing. His impact is measured not only in citations but in the practical relevance of his work—paving the way for smarter, more responsive healthcare systems that leverage the full potential of big data and IoT. For students and researchers, Manogaran’s work demonstrates how computational methods can directly improve quality of life.