Carlo Costa

Papers

Total Citations

H-Index

About

Carlo Costa is a leading researcher at the intersection of structural health monitoring (SHM) and decision science, with a focus on bridging the gap between theoretical monitoring frameworks and practical infrastructure management. His most-cited work, "Expected Utility Theory For Monitoring-Based Decision Support System" (2017, 14 citations), tackles a critical real-world problem: the skepticism of infrastructure owners toward SHM recommendations. By applying expected utility theory, Costa provides a rigorous, quantitative framework that translates raw monitoring data into actionable, economically rational decisions—helping owners move beyond intuition and experience. This contribution is foundational for developing decision-support systems that can demonstrate the tangible value of SHM, potentially saving billions in maintenance costs and improving public safety. Costa’s research is notable for its interdisciplinary approach, merging civil engineering, risk analysis, and behavioral economics. His work has been instrumental in advancing the adoption of monitoring-based asset management, making him a key voice in the push for data-driven infrastructure resilience.