Carlos C. Hortinela
Papers
1
Total Citations
15
H-Index
1
About
Carlos C. Hortinela has made significant contributions to structural health monitoring and civil infrastructure assessment, with a particular focus on automated defect detection in concrete structures. His most cited work, "Pattern recognition of concrete surface cracks and defects using integrated image processing algorithms" (2017, 15 citations), addresses a critical challenge in infrastructure maintenance: the early identification of surface cracks that can compromise the safety and longevity of buildings, roads, and bridges. By developing integrated image processing algorithms, Hortinela has advanced the field of non-destructive testing, enabling more efficient and objective inspection processes compared to traditional manual methods. His research directly supports the diagnosis, maintenance, and life prediction of structural systems, making it highly relevant for civil engineers and infrastructure managers. While his citation count reflects the specialized nature of his work, the practical implications are substantial—his algorithms help prevent catastrophic failures by detecting defects before they escalate. Hortinela’s contributions sit at the intersection of computer vision and civil engineering, offering scalable solutions for aging infrastructure worldwide.
Research Focus
Key Achievements
Top Papers
- 1