Shrddha Sagar
Papers
1
Total Citations
2
H-Index
1
About
Shrddha Sagar is a researcher at the forefront of integrating digital twin technologies with autonomous systems to revolutionize smart healthcare. Her work focuses on the intersection of cyber-physical systems, artificial intelligence, and vehicular automation, with a particular emphasis on creating real-time, data-driven simulations that enhance medical emergency response and patient transport. Her most-cited paper, "Digital twin technologies for automated vehicles in smart healthcare systems" (2023), has already garnered 2 citations, establishing her as an emerging voice in this niche field. Sagar’s major contribution lies in conceptualizing how digital twins—virtual replicas of physical vehicles and healthcare environments—can enable safer, more efficient automated ambulance routing, remote patient monitoring, and dynamic resource allocation during crises. This work bridges the gap between autonomous vehicle engineering and clinical needs, offering a scalable framework for future smart city healthcare infrastructures. Her research holds promise for reducing response times and improving outcomes in critical care scenarios, marking her as a rising innovator in the rapidly evolving domain of intelligent transportation and digital health.
Research Focus
Key Achievements
Top Papers
- 1