Jeni Narayanan L A
Papers
1
Total Citations
11
H-Index
1
About
Jeni Narayanan L A is a researcher whose work sits at the intersection of embedded systems, Internet of Things (IoT), and railway safety engineering. Her most-cited paper, “Railway Track Crack and Key Detection Robot using IoT” (2022, 11 citations), introduces an autonomous robotic system designed to inspect railway tracks for structural faults and defects. This innovation directly addresses the labor-intensive and hazardous daily 8-kilometer inspections traditionally performed by railway key men. By integrating IoT-based sensing and real-time data transmission, her system enhances both the efficiency and safety of railway maintenance. Beyond this flagship contribution, her research portfolio reflects a sustained focus on developing low-cost, intelligent automation solutions for critical infrastructure. Jeni’s work stands out for its practical, human-centered impact—replacing manual, error-prone inspections with reliable, autonomous detection. Her achievements demonstrate a keen ability to translate complex engineering concepts into deployable technologies that improve worker safety and operational reliability. For students and researchers interested in IoT-driven automation for public infrastructure, Jeni Narayanan L A offers a compelling model of applied, socially beneficial engineering research.
Research Focus
Key Achievements
Top Papers
- 1Railway Track Crack and Key Detection Robot using IoT11 citations · 2022