M V Naren Subra

SRM Institute of Science and Technology

Papers

1

Total Citations

2

H-Index

1

About

M V Naren Subra is a researcher focused on intelligent transportation systems and safety-critical infrastructure monitoring. His most notable contribution is the development of an "Autonomous Railway Track Crack Detection and Accident Prevention System" (2020), which addresses the critical problem of train derailments caused by undetected cracks and structural defects on railway tracks. The system employs a robotic platform equipped with an ultrasonic sensor (30 cm range) for distance-based crack detection, offering a proactive, automated alternative to manual track inspection. This work has garnered 2 citations and represents a practical, low-cost approach to enhancing railway safety. Subra’s research sits at the intersection of embedded systems, robotics, and civil infrastructure health monitoring, aiming to reduce accident risks through real-time, autonomous surveillance. His contributions are particularly relevant for developing nations seeking scalable solutions for aging rail networks. By combining sensor technology with mobile robotics, Subra demonstrates a commitment to engineering innovations that directly improve public safety and operational reliability in transportation systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous Railway Track Crack Detection and Accident Prevention System
2 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: SRM Institute of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago