M.Z. Naser, PhD, PE
Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure highlights the growing trend of fostering machine learning to realize contemporary, smart, and safe infrastructure. This edited book focuses on the role of interpretable and explainable machine learning and showcases the results of innovative efforts supplemented with case studies from leading researchers that can be used as benchmarks to carry out future experiments and/or facilitate the development of advanced models. The book is written to guide a broad audience, including senior postgraduate students, academic and industrial researchers, materials scientists, and practicing civil, structural, and mechanical engineering engineers.