Grounded in big data analytics technologies and artificial intelligence algorithms (e.g., deep learning, machine learning), this direction develops data-driven intelligent diagnosis models and safety evaluation systems for infrastructure damage. It realizes the paradigm shift from "data-driven analytics" to "diagnostic decision-making," and efficiently accomplishes damage identification, risk stratification, and quantitative evaluation of safety states for infrastructure.