Andrea Verzobio

Papers

Total Citations

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About

Andrea Verzobio is a leading researcher at the intersection of structural health monitoring (SHM) and decision theory, whose work bridges the gap between sensor data and practical infrastructure management. His primary research areas include Bayesian decision analysis, expected utility theory, and value of information for civil engineering systems. Verzobio’s major contribution lies in formalizing how SHM data can be rigorously integrated into risk-based decision-making, moving beyond traditional experience-based approaches. His most-cited paper, “Expected Utility Theory For Monitoring-Based Decision Support System” (2017, 14 citations), provides a theoretical framework that quantifies the benefits of monitoring, directly addressing owner skepticism. By demonstrating how expected utility can guide optimal maintenance and repair actions, his work has influenced both academic research and industry practice. Verzobio’s achievements include developing probabilistic models that account for uncertainty in structural performance, making his research essential for engineers seeking to justify SHM investments. His clear, applied focus on decision support continues to shape how infrastructure owners evaluate the economic and safety benefits of monitoring systems.