Advanced corrosion assessment using AI-powered imaging technology
REFERENCE:
[Ashwin RajKumar*, Naveen Paluru*],
Raji S. Mathew, Prathamesh Shenai, Dana Abdeen, Nicholas
Laycock, and Phaneendra K. Yalavarthy, "Unsupervised
Machine Learning for Automated Corrosion Staging Using
Optical Microscopy Images," npj Materials
Degradation 9, 83 (2025). [*Equal Contribution; doi:
10.1038/s41529-025-00635-1]
Project Code Repository: https://github.com/NaveenPaluru/UDC-Analysis

This work was carried out at in collaboration with Qatar Shell Research and Technology Centre (QSRTC)

This work was carried out at in collaboration with Qatar Shell Research and Technology Centre (QSRTC)
Media Coverage
- IISc
Press Release: https://iisc.ac.in/events/advanced-corrosion-assessment-using-ai-powered-imaging-technology-2/
- Electronics For You: https://www.electronicsforu.com/news/iisc-and-qsrtc-develop-ai-tool-to-detect-corrosion-automatically