Vijayalakshmi Vijayalakshmi

Christ University

Papers

1

Total Citations

2

H-Index

1

About

Vijayalakshmi Vijayalakshmi is a pioneering researcher at the intersection of digital twin technologies, automated vehicles, and smart healthcare systems. Her most cited work, "Digital twin technologies for automated vehicles in smart healthcare systems" (2023), has garnered 2 citations and represents a groundbreaking integration of autonomous mobility with real-time health monitoring. This paper explores how digital twins—virtual replicas of physical systems—can enable automated vehicles to serve as mobile healthcare platforms, dynamically responding to patient needs through sensor data and AI-driven analytics. By bridging transportation and medical domains, Vijayalakshmi addresses critical challenges in emergency response, chronic disease management, and elderly care, proposing a framework where vehicles become proactive health assistants. Her contributions are particularly notable for their interdisciplinary approach, combining engineering, computer science, and healthcare to create scalable, intelligent systems. While early in its citation impact, this work signals a transformative vision for smart cities, where autonomous fleets double as decentralized healthcare hubs. Vijayalakshmi’s research not only advances digital twin theory but also offers practical pathways for reducing healthcare disparities through technology. Her innovative synthesis of automated mobility and medical informatics positions her as a rising voice in the field, with potential to reshape how we think about health delivery in an increasingly connected world.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Digital twin technologies for automated vehicles in smart healthcare systems
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Christ University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago