he book Machine Learning Applications in Civil Engineering offers a comprehensive overview of how machine learning is reshaping the future of civil infrastructure. Aligned with the scope of Frontiers in Built Environment, this work explores the integration of data-driven models in key areas such as structural health monitoring, material performance prediction, geotechnical engineering, and construction process optimization. By bridging the gap between traditional engineering approaches and modern computational tools, the book contributes to advancing innovative, efficient, and sustainable solutions within the built environment sector.​