Data-Centric Civil Engineering

Data Science for Advanced Civil Engineering Applications

Nima Gerami-Seresht (Autor)

Buch | Softcover

230 Seiten

2026
Woodhead Publishing (Verlag)
978-0-443-21925-2 (ISBN)

Infos

Despite this rising enthusiasm among post-graduate students and R&D practitioners for new data-driven techniques in civil engineering, no comprehensive references book exist that introduces such techniques to the civil engineering audience and explores the applications of these techniques in civil engineering. Consequently, this enthusiastic audience often refers to textbooks published in other engineering disciplines to learn the fundamentals of data science techniques; and then refers to journal and conference articles to learn the civil engineering applications of these techniques.

This approach often leads to familiarizing the readers with a set of techniques that suit other engineering disciplines and using irrelevant engineering examples. Additionally, this approach ignores the unique characteristics of civil engineering problems (e.g., empirical data limitation).

This book addresses these limitations by providing the first reference book on data-centric civil engineering to introduce advanced data science theories to the civil engineering audience. This book uses a variety of problems from the different fields of civil engineering (e.g., transportation, structure, and construction) and considers the unique limitations that civil engineers deal with in their research and practices.

Autor

Dr Gerami-Seresht is an assistant professor of sustainable and resilient infrastructure at Durham University. He completed his undergraduate studies in Civil Engineering and pursued his MSc and PhD in construction engineering and management. For over a decade, Dr Gerami-Seresht has researched the theory of advanced data science techniques. He also has a successful track record of implementing these theories to solve complex civil engineering problems, including construction productivity, construction fleet management, indoor air quality assessment, and sustainable and resilient infrastructure. He has 30+ publications on “data-centric civil engineering”, including award-winning journal articles, conference papers, and book chapters. Dr Gerami-Seresht taught multiple undergraduate- and graduate-level modules focused on data-centric civil engineering, including “CIV E654 - Artificial Intelligence and Automation in Construction” at the University of Alberta, Canada, and “Construction Project Management and Digital Engineering”, “Project Change, Risk and Opportunities Management”, and “Integrated Building Information Modelling Project” at Northumbria University, UK.

Inhalt

1. Introduction to Data-Centric Civil Engineering
2. Machine Learning and Pattern Recognition
3. Approximate Reasoning
4. Decision-Making
5. Simulation

Produkt-Details

• Erscheint lt. Verlag: 1.1.2026
• Reihe/Serie: Woodhead Publishing Series in Civil and Structural Engineering
• Sprache: englisch
• Maße: 152 x 229 mm
• Themenwelt: Informatik ► Datenbanken ► Data Warehouse / Data Mining
• Themenwelt: Technik ► Bauwesen
• ISBN-10: 0-443-21925-7 / 0443219257
• ISBN-13: 978-0-443-21925-2 / 9780443219252
• Zustand: Neuware