C. B. Sivaparthipan

Papers

Total Citations

H-Index

About

C. B. Sivaparthipan’s research lies at the intersection of robotics, healthcare, and artificial intelligence, with a focus on leveraging big data analytics and IoT to solve real-world medical challenges. His 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 novel robotic assistance system that integrates IoT sensors and big data processing to improve mobility and monitoring for Parkinson’s patients—a pioneering step toward personalized, data-driven care. In “Bio-inspired algorithms for industrial robot control using deep learning methods” (2021, 12 citations), he explores nature-inspired optimization techniques combined with deep learning to enhance robotic precision and adaptability in industrial settings. Sivaparthipan’s contributions demonstrate a clear commitment to translating complex computational methods into practical, human-centered applications, bridging the gap between advanced AI and tangible healthcare outcomes. His work has been recognized for its interdisciplinary impact, offering scalable solutions that address both clinical needs and industrial efficiency. For students and researchers, his profile exemplifies how robotics and IoT can be harnessed to create empathetic, intelligent systems that improve quality of life.