Swati Vaishnav

Narsee Monjee Institute of Management Studies

Papers

Total Citations

H-Index

About

Swati Vaishnav is a researcher focused on advancing intelligent infrastructure through sensor-based monitoring and data-driven diagnostics. Her most-cited work, "Railway Track Monitoring System" (2022), introduces a novel approach for real-time detection of track anomalies, leveraging low-cost sensors and machine learning to enhance railway safety and reduce maintenance costs. This contribution addresses critical challenges in transportation infrastructure, offering a scalable solution for early fault identification. With 2 citations to date, her research has laid groundwork for further exploration in condition monitoring and predictive maintenance systems. Vaishnav’s work exemplifies the integration of engineering and data science to solve real-world problems, positioning her as an emerging voice in the field of smart infrastructure. Her ongoing efforts continue to explore the intersection of IoT, signal processing, and structural health monitoring, promising impactful advances for resilient and efficient transportation networks.