Sujatha Krishnamoorthy

Wenzhou-Kean University

Papers

3

Total Citations

67

H-Index

3

About

Dr. Sujatha Krishnamoorthy is a leading researcher at the intersection of robotics, healthcare, and the Internet of Things (IoT), with a particular focus on developing intelligent systems for medical assistance and occupational safety. Her most impactful work, "Innovative and efficient method of robotics for helping the Parkinson's disease patient using IoT in big data analytics" (58 citations), pioneers the integration of big data analytics with robotic and IoT frameworks to improve sensing and predictive accuracy for neurodegenerative care. This contribution addresses critical challenges in real-time health monitoring, offering a novel pathway for assistive robotics in chronic disease management. Dr. Krishnamoorthy has also advanced surgical precision through her work on robot-based transurethral bladder tumor resection with automatic cell detection, and she has redefined workplace safety by designing human-interfacing robotic workstations that enhance ergonomics and cognitive modeling. Her research consistently bridges the gap between theoretical robotics and practical, life-enhancing applications, demonstrating a clear commitment to leveraging technology for human well-being. With a growing citation footprint, Dr. Krishnamoorthy’s work stands as a vital resource for students and researchers exploring the future of human-robot collaboration in medicine and industry.

Research Focus

Key Achievements

3
H-Index
3
Papers
67
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Innovative and efficient method of robotics for helping the Parkinson's disease patient using IoT in big data analytics
58 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Wenzhou-Kean University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago