Revathi Sundarasekar

Papers

Total Citations

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About

Revathi Sundarasekar is a pioneering researcher at the intersection of healthcare, robotics, and the Internet of Things (IoT), with a focus on leveraging big data analytics to solve real-world medical challenges. Her most cited work, "Innovative and efficient method of robotics for helping the Parkinson's disease patient using IoT in big data analytics" (2019, 58 citations), introduces a groundbreaking approach that integrates robotic assistance with IoT-enabled sensors and big data processing to improve the quality of life for Parkinson's patients. This research addresses critical limitations in predictive sensing and real-time monitoring, offering a more accurate and efficient method for managing motor symptoms. Sundarasekar’s contributions are particularly notable for bridging the gap between advanced computational techniques and practical healthcare applications, demonstrating how big data can enhance robotic responsiveness in clinical settings. Her work has garnered significant attention, reflecting its impact on the growing field of IoT-driven assistive technologies. By combining innovation with empathy, Sundarasekar continues to inspire researchers and students exploring the transformative potential of data-driven robotics in medicine.