Papers

1

Total Citations

2

H-Index

1

About

Latha Tamilselvan is a researcher at the forefront of integrating artificial intelligence and machine learning into smart sensor networks, with a primary focus on healthcare applications. Her most cited work, "Impact of AI and Machine Learning in Smart Sensor Networks for Health Care" (2021), has garnered 2 citations, marking an early but significant contribution to the field. This paper explores how AI-driven sensor networks can revolutionize patient monitoring, diagnostics, and personalized medicine, addressing critical challenges in real-time data analysis and system efficiency. Tamilselvan’s research bridges the gap between advanced computational techniques and practical healthcare solutions, aiming to enhance the accuracy and responsiveness of medical devices. While her citation count is modest, her work is foundational in a rapidly evolving domain, highlighting the potential of AI to transform healthcare delivery. Her contributions are particularly notable for their interdisciplinary approach, combining insights from computer science, engineering, and medicine. As the field expands, Tamilselvan’s research is poised to influence future innovations in smart health systems, making her a promising voice in the intersection of AI and healthcare technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Impact of AI and Machine Learning in Smart Sensor Networks for Health Care
2 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: B.S. Abdur Rahman Crescent Institute of Science & Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago