Shashank Shetty
Papers
1
Total Citations
13
H-Index
1
About
Shashank Shetty is an emerging researcher at the intersection of artificial intelligence, sustainable energy, and railway infrastructure safety. His most cited work, "AI based Solar Powered Railway Track Crack Detection and Notification System with Chatbot Support" (2019, 13 citations), addresses a critical challenge in India's rapidly expanding railway network—the detection of track cracks that often lead to derailments. By integrating AI-driven crack detection with solar-powered systems and chatbot-based notification, Shetty proposes a self-sustaining, real-time monitoring solution that reduces reliance on manual inspection. This work highlights his focus on practical, low-cost, and scalable technologies for public infrastructure. Shetty’s research demonstrates a commitment to leveraging modern AI and IoT tools to solve pressing societal problems, particularly in developing nations. His contributions are especially relevant for students and researchers interested in applied AI, smart transportation, and renewable energy integration. With a growing citation record and a clear problem-solving approach, Shetty represents a new generation of engineers working to make critical infrastructure safer and more intelligent through interdisciplinary innovation.
Research Focus
Key Achievements
Top Papers
- 1