"Predictive Modeling in Civil Engineering: An Introduction" delves into the integration of predictive modeling with civil engineering, offering a comprehensive guide on leveraging statistical techniques and machine learning to enhance decision-making, optimize performance, and innovate infrastructure development. It covers foundational concepts, practical applications, and future directions, including detailed discussions on model development, validation, and real-world case studies showcasing predictive modeling's transformative impact on the field. The book aims to equip professionals and students with the knowledge to apply predictive analytics effectively, ensuring more resilient, efficient, and sustainable engineering solutions.