Selvasundari Subramanian
Papers
1
Total Citations
52
H-Index
1
About
Dr. Selvasundari Subramanian is a leading researcher at the intersection of robotics, civil infrastructure, and artificial intelligence. Her primary contributions lie in developing intelligent, autonomous systems for infrastructure monitoring, with a particular focus on pavement inspection. Her most cited work, "Deep Learning Based Pavement Inspection Using Self-Reconfigurable Robot" (2021, 52 citations), pioneers a novel approach by integrating deep learning algorithms with self-reconfigurable robotic platforms. This research addresses the critical need for efficient, automated detection of pavement defects like cracks and garbage, proposing a system that can be seamlessly integrated into existing street-sweeping machinery. By combining robotic adaptability with advanced computer vision, Dr. Subramanian’s work significantly reduces reliance on manual inspection, enhancing both safety and operational efficiency. Her research is highly impactful, offering a scalable, cost-effective solution for smart city infrastructure management. Dr. Subramanian’s innovative fusion of robotics and deep learning positions her as a key figure in the future of automated civil infrastructure maintenance.
Research Focus
Key Achievements
Top Papers
- 1Deep Learning Based Pavement Inspection Using Self-Reconfigurable Robot52 citations · 2021