Amirhossein Zaji
Papers
1
Total Citations
79
H-Index
1
About
Amirhossein Zaji is a leading researcher in the fields of infrastructure condition assessment, computer vision, and intelligent automation for civil engineering systems. His work focuses on developing automated vision-based systems to evaluate the health of critical urban assets, particularly sewer and water pipelines. Zaji’s major contribution lies in advancing non-destructive inspection techniques that replace manual, labor-intensive assessments with efficient, AI-driven solutions. His highly cited 2020 paper, “Automated Vision Systems for Condition Assessment of Sewer and Water Pipelines,” which has garnered 79 citations, provides a comprehensive framework for using computer vision to detect defects and deterioration in pipeline networks. This work is foundational for researchers and practitioners aiming to extend the service life of aging urban infrastructure. By integrating deep learning and image processing, Zaji’s research enables faster, more accurate, and cost-effective monitoring, directly impacting municipal asset management. His achievements underscore a commitment to bridging artificial intelligence with practical civil engineering challenges, making him a key figure in the push toward smarter, more resilient cities.
Research Focus
Key Achievements
Top Papers
- 1