Saba Madani

Papers

Total Citations

H-Index

About

Saba Madani is a researcher whose work sits at the intersection of non-destructive testing and computer vision, with a particular focus on industrial quality control. Her most cited paper, "Detection of Weld Defects in Radiography Films Using Image Processing" (2015), addresses a critical gap in automated inspection by applying image processing techniques to radiographic film analysis. This work, which has garnered 4 citations, explores how computational methods can enhance the detection of groove defects in welds—a task traditionally reliant on human interpretation. By demonstrating the potential of digital image analysis in industrial radiography, Madani's research contributes to safer, more reliable infrastructure through improved defect identification. Her work is particularly notable for bridging the gap between advanced image processing algorithms and practical industrial applications, offering a pathway toward automated, consistent quality assurance in welding. While her citation count reflects the specialized nature of her field, the impact of her research lies in its practical relevance to manufacturing and construction industries, where weld integrity is paramount. Madani’s contributions highlight the growing role of computational techniques in traditional engineering disciplines.