Digital Twins

Core Principles and AI Integration
Erscheinungsjahr 2026
ISBN: 978-0-443-45573-5
Verlag: Elsevier Science

Buch, Englisch, 250 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 449 g

Digital Twins: Core Principles, System Engineering, and AI Integration provides a comprehensive overview of digital twin technology, a cutting-edge innovation that bridges the physical and digital worlds. The book addresses common challenges such as data integration, security, scalability, and the alignment of digital twin models with actual physical processes. After presenting core concepts of digital twins for software engineering, the book discusses integration with advanced digital solutions such as AI, IoT, Cloud computing, Big Data Analytics, and Extended Reality (XR). Next, the authors provide readers with a thorough presentation of digital twins' applications in a variety of settings and industry/research topics.

Finally, the book concludes with a discussion of challenges and solutions, along with future trends in digital twins research and development. As digital twin technology evolves, its integration with various advanced digital solutions is becoming essential for achieving real-time insights and autonomous decision-making. Challenges include understanding the interoperability of these technologies, managing data complexity, ensuring security, and optimizing for low-latency environments.

Autoren/Hrsg.

Tekinerdogan, Bedir

Verdouw, Cor

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering

Inhaltsverzeichnis

PART I: INTRODUCTION AND FOUNDATIONS
1. Introduction
2. Foundational Concepts of Digital Twins
3. Technological Ecosystem of Digital Twins

PART II: INTEGRATION WITH ADVANCED DIGITAL SOLUTIONS
4. Integration with Artificial Intelligence (AI)
5. Integration with the Internet of Things (IoT)
6. Integration with Cloud Computing
7. Integration with Big Data Analytics
8. Integration with Extended Reality (XR)

PART III: APPLICATIONS IN VARIOUS SECTORS
9. Applications in Smart Manufacturing and Industry 4.0
10. Applications in Healthcare and Personalized Medicine
11. Applications in Smart Agriculture and Food
12. Applications in Smart Cities and Urban Planning
13. Applications in Energy and Utilities
14. Applications in Aerospace and Defense

PART IV: CHALLENGES, SOLUTIONS, AND FUTURE TRENDS
15. Challenges and Solutions in Digital Twin Integration
16. Future Trends and Research Directions

Über Autor(innen)

Tekinerdogan, Bedir
Dr. Bedir Tekinerdogan is a full professor and chair of the Information Technology group at Wageningen University in The Netherlands. He received his MSc degree (1994) and a PhD degree (2000) in Computer Science, both from the University of Twente, The Netherlands. From 2003 until 2008 he was a faculty member at University of Twente, after which he joined Bilkent University until 2015. He has more than 20 years of experience in software engineering research and education. His main research includes the engineering of smart software-intensive systems. In particular, he has focused on and is interested in software architecture design, software product line engineering, model-driven development, parallel computing, cloud computing and system of systems engineering. He has been active in dozens of national and international research and consultancy projects with various large software companies whereby he has worked as a principal researcher and leading software/system architect. He has developed and taught more than 15 different academic software engineering courses and has provided software engineering courses to more than 50 companies in The Netherlands, Germany and Turkey.

Verdouw, Cor
Dr. Cor Verdouw is an expert affiliated with Wageningen University & Research, specializing in management science with a focus on agro-industrial chains and horticulture. His extensive knowledge encompasses key areas such as change management, management information systems, supply chain management, quality management, and information management.