Sreeja Vijay
Papers
1
Total Citations
16
H-Index
1
About
Sreeja Vijay is a leading researcher in the integration of intelligent automation and the Internet of Things (IoT) for critical infrastructure monitoring. Her primary research areas encompass robotics, neural networks, and non-destructive evaluation, with a specific focus on enhancing the safety and efficiency of railway transportation systems. Her most impactful contribution, the 2022 paper "An Automated Technology for IoT based Rail-Track Inspection to Locate Surface Flaws by Robotics and Neural Networks," has garnered 16 citations and addresses a pressing national security concern. Vijay’s work directly confronts the limitations of conventional manual track inspections, which are often costly, time-consuming, and dependent on human expertise. By proposing a novel automated framework that combines robotic platforms with neural network analysis, she offers a solution that promises more reliable, rapid, and objective detection of surface flaws. This pioneering approach not only reduces the margin for human error but also sets a new standard for proactive maintenance in the rail industry, marking Vijay as a key innovator in the field of smart infrastructure and automated defect detection.
Research Focus
Key Achievements
Top Papers
- 1