James H. Garrett

Georgia Institute of Technology, Carnegie Mellon University

Papers

Total Citations

H-Index

About

James H. Garrett is a pioneering figure in civil infrastructure informatics, with key research spanning data fusion, remote sensing, and intelligent condition assessment of aging systems. His most-cited work, "Data-Fusion Approaches and Applications for Construction Engineering" (2010, 56 citations), establishes foundational methods for combining heterogeneous data sources to enhance measurement confidence, reduce ambiguity, and improve reliability in estimating the state of constructed facilities—a critical contribution to smart infrastructure management. In "Imagery enhancement and interpretation for remote visual inspection of aging civil infrastructure" (2008, 14 citations), Garrett developed image enhancement and pattern recognition techniques to automatically detect surface defects in sewer pipelines, equipping inspectors with advanced tools for remote visual assessment. His research directly addresses the challenge of maintaining deteriorating civil assets by integrating computational methods with practical inspection needs. As a professor and former dean at Carnegie Mellon University, Garrett has shaped the field of infrastructure sensing and cyber-physical systems, earning recognition for bridging engineering practice with data science. His work continues to influence how we monitor, maintain, and extend the life of critical infrastructure worldwide.