Ravi Shankar Shekhar

Sathyabama Institute of Science and Technology

Papers

Total Citations

H-Index

About

Ravi Shankar Shekhar is a researcher in railway infrastructure monitoring and automation, with a focus on developing cost-effective, sensor-based solutions for track maintenance. His most cited work, "Automatic detection of squats in railway track" (2015, 12 citations), introduces a novel crack-finding robot that integrates a microcontroller with ZigBee communication, GPS, and an IR-based crack sensor. This system enables real-time detection and localization of track defects, addressing critical safety and efficiency challenges in railway operations. Shekhar’s contribution lies in combining embedded systems and wireless communication to create a practical, low-cost alternative to traditional manual inspection methods. His work has been recognized for its potential to reduce maintenance costs and prevent accidents, earning citations from researchers in civil engineering and robotics. By bridging the gap between sensor technology and railway safety, Shekhar has laid groundwork for smarter, automated infrastructure monitoring. His research continues to inspire innovations in predictive maintenance and intelligent transportation systems.