G. Kavitha

Yes Technologies (United States), B.S. Abdur Rahman Crescent Institute of Science & Technology

Papers

Total Citations

H-Index

About

G. Kavitha’s research focuses on the intersection of distributed systems, artificial intelligence, and healthcare technology, with key contributions in peer-to-peer algorithms and smart sensor networks. Her most cited work, “Read-Write, Peer-To-Peer Algorithms for the Location-Identity Split” (2019, 7 citations), tackles the long-standing challenge of reconciling location and identity in distributed architectures. By proposing novel design principles for segment tables and validating the transformation of disseminate/gather I/O through the lens of steganographic concepts, she offers a fresh perspective on voice-over-IP and memory management. In her more recent work, “Impact of AI and Machine Learning in Smart Sensor Networks for Health Care” (2021, 2 citations), Kavitha explores how intelligent algorithms can enhance the efficiency and reliability of sensor networks in medical settings, addressing critical issues in real-time health monitoring and data processing. While her citation counts reflect an emerging career, her work demonstrates a willingness to bridge theoretical computer science with practical, impactful applications. Kavitha’s research is particularly relevant for students and researchers interested in distributed computing, AI-driven healthcare systems, and the ongoing evolution of network architectures.