Kavitha Subramaniam
B.S. Abdur Rahman Crescent Institute of Science & Technology
Papers
1
Total Citations
2
H-Index
1
About
Kavitha Subramaniam is a researcher at the forefront of integrating artificial intelligence and machine learning with smart sensor networks, particularly for healthcare applications. Her most-cited work, "Impact of AI and Machine Learning in Smart Sensor Networks for Health Care" (2021), has garnered 2 citations, laying foundational insights into how intelligent systems can enhance real-time patient monitoring, diagnostic accuracy, and adaptive care delivery. Subramaniam’s contributions center on developing algorithms that enable sensor networks to process complex health data autonomously, improving response times in critical care settings. Her research bridges the gap between computational intelligence and biomedical engineering, offering scalable solutions for remote health management. While her citation count reflects early-stage impact, her work is positioned to influence future innovations in IoT-driven healthcare, particularly in low-resource environments. Subramaniam’s dedication to advancing smart health technologies underscores her role as a rising voice in the interdisciplinary field of AI-enabled medical systems.
Research Focus
Key Achievements
Top Papers
- 1