Abstract
<jats:p>The rapid evolution of Artificial Intelligence (AI) has significantly transformed the landscape of engineering, enabling innovative solutions to complex challenges across civil and mechanical domains. This book, Artificial Intelligence Advances in Civil and Mechanical Engineering, has been conceptualized to present a comprehensive overview of the latest developments, research insights, and practical applications of AI in these core engineering disciplines. The integration of AI technologies such as machine learning, deep learning, computer vision, and data analytics has opened new avenues for enhancing efficiency, safety, sustainability, and decision-making processes in engineering systems. From intelligent infrastructure design and predictive maintenance to sustainable material development and automated construction practices, AI is redefining traditional methodologies and driving the transition toward smart and resilient engineering solutions. This edited volume brings together contributions from academicians, researchers, and industry professionals who have explored diverse aspects of AI applications. The chapters included in this book cover a wide spectrum of topics such as AI-driven disaster management, sustainable construction materials, ethical considerations in AI, water quality monitoring, robotics and automation, and lifecycle assessment of engineering systems. Each chapter is designed to provide both theoretical foundations and practical insights, making the book valuable for students, researchers, and practicing engineers alike. While significant progress has been made, the field of AI in engineering is still evolving, with challenges related to data availability, model reliability, ethical concerns, and real-world implementation. This book aims not only to highlight current advancements but also to inspire future research and innovation in this interdisciplinary domain. We hope that this book will serve as a useful reference and contribute to the growing body of knowledge at the intersection of artificial intelligence and engineering, supporting the vision of sustainable and intelligent infrastructure development.</jats:p>