Y Sudhakar
Papers
1
Total Citations
3
H-Index
1
About
Y Sudhakar is a researcher at the forefront of applying artificial intelligence and the Internet of Things to critical infrastructure safety, with a particular focus on railway systems. His most notable contribution is the development of "Railway Track Tracer technology for Crack Detection," an advanced system that integrates machine learning and IoT sensors to autonomously identify structural flaws in railway tracks. By using cameras and real-time data analysis, this innovation enables continuous, proactive monitoring, significantly reducing the risk of derailments and accidents. This work, published in 2024, has already garnered early citations, signaling its growing influence in the field of intelligent transportation and predictive maintenance. Sudhakar’s research bridges the gap between computer vision, embedded systems, and safety engineering, offering scalable solutions for aging rail networks. His achievements highlight a commitment to leveraging modern technology for public safety, making his work a vital reference for students and engineers exploring smart infrastructure and accident prevention.
Research Focus
Key Achievements
Top Papers
- 1Advanced IoT and Machine Learning Solutions for Railway Safety3 citations · 2024