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