Digital Twin Driven Intelligent Systems and Emerging Metaverse

Digital Twin Driven Intelligent Systems and Emerging Metaverse

Published: 09.04.2023
Publisher: Springer
Doi : 10.1007/978-981-99-0252-1
Book Web Site:


Enis KaraarslanÖmer AydinÜmit CaliMoharram Challenger

* Covers the application of Digital Twin in many fields
* Explains the application potential of Digital Twin and its examples in different fields
* Demonstrates the importance and application options of the Digital Twin to scientists and industry professionals


Table of contents
About this book
Editors and Affiliations
About the editors
Bibliographic Information

Table of contents (17 chapters)

Front Matter and Foreword by Prof. Dr. Bedir TEKİNERDOĞAN (Pages: i-viii)

SECTION 1 – Digital Twin Fundamentals

Chapter 1
The Digital Twin Case in the Technological Transformation Process: Research Articles, Academic Collaborations, and Topics
Muhammet Damar, Güzin Özdağoğlu
Pages 3-38

Chapter 2
Towards Developing a Digital Twin for a Manufacturing Pilot Line: An Industrial Case Study
Fatemeh Kakavandi, Cláudio Gomes, Roger de Reus, Jeppe Badstue, Jakob Langdal Jensen, Peter Gorm Larsen et al.
Pages 39-64

Chapter 3
An Architecture for Intelligent Agent-Based Digital Twin for Cyber-Physical Systems
Hussein Marah, Moharram Challenger
Pages 65-99

Chapter 4
Sustainable Digital Twin Engineering for the Internet of Production
Shan Fur, Malte Heithoff, Judith Michael, Lukas Netz, Jérôme Pfeiffer, Bernhard Rumpe et al.
Pages 101-121

SECTION 2 – Digital Twin Use Cases

Chapter 5
Fog-Connected Digital Twin Implementation for Autonomous Greenhouse Management
Hakkı Soy, Yusuf Dilay
Pages 125-139

Chapter 6
Digital Twin Applications for Smart and Connected Cities
Durdu Hakan Utku, Ferhat Ozgur Catak, Murat Kuzlu, Salih Sarp, Vukica Jovanovic, Umit Cali et al.
Pages 141-154

Chapter 7
Digital Twin in Industry 4.0 and Beyond Applications
Vukica Jovanovic, Murat Kuzlu, Umit Cali, Durdu Hakan Utku, Ferhat Ozgur Catak, Salih Sarp et al.
Pages 155-174

Chapter 8
Digital Twin and Manufacturing
Ozgu Can, Aytug Turkmen
Pages 175-194

Chapter 9
Interoperable Digital Twin Solutions for Asset-Heavy Industry
Zhicheng Hu, Amirashkan Haghshenas, Agus Hasan, Steffan Sørenes, Anniken Karlsen, Saleh Alaliyat
Pages 195-208

Chapter 10
Digital Twin in Health Care
Sabri Atalay, Ufuk Sönmez
Pages 209-231

Chapter 11
Digital Twin in Chronic Wound Management
Salih Sarp, Murat Kuzlu, Yanxiao Zhao, Ferhat Ozgur Catak, Umit Cali, Vukica Jovanovic et al.
Pages 233-248

Chapter 12
Digital Twin in Construction
Muhammet Yıldırım, Omer Giran
Pages 249-267

Chapter 13
An Interactive Digital Twin Platform for Offshore Wind Farms’ Development
Agus Hasan, Zhicheng Hu, Amirashkan Haghshenas, Anniken Karlsen, Saleh Alaliyat, Umit Cali
Pages 269-281

Chapter 14
Digital Twin Applications in Spacecraft Protection
Hande Yavuz, Enis Konacaklı
Pages 283-294

SECTION 3 – Emerging Metaverse

Chapter 15
Context Before Technology: The Possible Utopian/Dystopian Elements of the Metaverse with Examples from Great Literature
Ozan Sönmez
Pages 297-316

Chapter 16
Cross-platform and Personalized Avatars in the Metaverse: Ready Player Me Case
Sercan Altundas, Enis Karaarslan
Pages 317-330

Chapter 17
Security Issues in Artificial Intelligence Use for Metaverse and Digital Twin Setups
Utku Kose
Pages 331-349

About this book

This book covers the notion of the digital twin, which has the potential to alter the way systems are governed and manufactured. It also addresses the metaverse as an emerging technology with its roots in literature, cross-platform avatars, and artificial intelligence-oriented cybersecurity issues. The untapped potential of the metaverse and digital twins as enabling technologies for the next-generation industries is emphasized in various chapters.
Digital twin technology enables manufacturers to comprehend their products throughout product design better, integrate simulation, tracking, and optimization in real-time, and appropriately analyze operations. Especially for complicated products or systems, testing on a digital twin is more efficient (more accessible, quicker, less error-prone, and less expensive). The product is examined in its virtual version before it is displayed in the actual world. Additionally, the digital twin minimizes operational expenses and increases the longevity of equipment and assets. By prolonging the life of the thing, they represent and enhance its working efficiency; it may minimize operating costs and prospective capital spending. The digital twin idea is becoming a reality as it has begun to be used in several industries, including energy, manufacturing, construction, transportation, aerospace, smart cities, healthcare, cyber security, finance, and agriculture. Academic and industrial experts highlighted the most compelling use cases of digital twins and metaverses and the challenges inherent in their implementation. Readers who want to make more effective systems will find the book useful. Also, people who want to get an idea and vision of how technology will change our lives will benefit from this book.


Digital twin, Cyber physical systems, Industry 4.0, Digital Transformation, IoT Connectivity, Smart Systems, Digital Twin Applications, Artificial intelligence (AI), Machine learning

Editors and Affiliations

Enis Karaarslan: MSKU Metaverse Lab, Department of Computer Engineering, Faculty of Engineering, Mugla Sitki Kocman University, Mugla, Türkiye
Ömer Aydin: Department of Electrical and Electronics Engineering, Faculty of Engineering, Manisa Celal Bayar University, Manisa, Türkiye
Ümit Cali: Department of Electric Power Engineering, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Trondheim, Norway
Moharram Challenger: Department of Computer Science, University of Antwerp and Flanders Make Strategic Research Center, Flanders, Belgium

About the editors

Enis Karaarslan, Assist. Prof. Dr., Mugla Sitki Kocman University (MSKU), Department of Computer Engineering, Mugla, Türkiye
He is one of the founders of the Artificial Intelligence and Cyber ​​Security disciplines at MSKU. His research areas are; computer networks, cybersecurity, blockchain, data science, digital twin, and Metaverse. He provides consultancy to companies and research projects in the industry. He founded NetSecLab and the Metaverse research labs. He is the chief editor of the “Journal of Metaverse”. He formed MSKU Blockchain Research Group (MSKU BcRG) and has been working on the potential of blockchain since 2017. He has given various seminars and training on blockchain technology at multiple events. He taught blockchain courses at the graduate and undergraduate levels and acted as a thesis advisor. He has several publications and a patent on decentralized technologies. He founded MSKU Metaverse Research Group (MSKU MvRG) and has been conducting interdisciplinary studies there since 2021.

Ömer AYDIN, Assoc. Prof. Dr., Manisa Celal Bayar University, Manisa, Türkiye
Ömer Aydın received the B.S. degree in Computer Engineering from Istanbul Technical University of Turkey in 2007. He received the M.S. degree in Electrical and Electronics Engineering from Dumlupınar University, Kütahya, Turkey, in 2014 and Ph.D. degree in Computer Engineering from Dokuz Eylül University, Izmir, Turkey, in 2019. He has been an associate professor in the Department of Electrical and Electronics Engineering at Manisa Celal Bayar University, Manisa, Turkey. His research interests include random number generation, lightweight authentication protocols, cryptography, digital twin, cyber-physical systems, security of RFID systems, and other lightweight devices. He is a member of Dokuz Eylul University Security Research Group and the founder of the Izmir Academy Association. Assoc. Prof. Ömer Aydın is also a member of the Association for Information Systems (AIS).

Umit Cali, Assoc. Prof. Dr., Norwegian University of Science and Technology, Norway
Dr. Umit Cali has more than 20 years international experience in the fields of energy systems, data science, blockchain technologies, ICT, energy markets, and economics as a professor, an entrepreneur, a researcher, and a CTO. Dr. Cali is also the co-founder of US (NSF SBIR funded) and Europe-based technology startup companies which are active in advanced energy informatics and blockchain. He is working as an associate professor of Energy Informatics (AI & Blockchain) in the Norwegian University of Science and Technology. He is serving as the vice chair of IEEE Blockchain in Energy Standards WG (P2418.5), the chair of IEEE TEMS Special Interest Group on Energy DLT, and an IEEE senior member. Umit is the leading author of the “Digitalization of Power Markets and Systems using Energy Informatics” book.

Moharram Challenger, Assist. Prof. Dr., University of Antwerp, Antwerpen, Belgium
Prof. Moharram Challenger received his Ph.D. in IT from International Computer Institute at Ege University (Turkey) in Feb 2016. He also received his B.Sc. and M.Sc. degrees in computer engineering and software engineering in 2001 and 2005, respectively. From 2005 to 2009, he has been a faculty member, and a lecturer, in the computer engineering department at IAU-Shabestar University. From 2010 to 2013, he was a researcher and a team leader of a bilateral project between Slovenia and Turkey (TUBITAK). From 2012 to 2016, he was the R&D director of UNIT IT Ltd. involved in one national project funded by TUBITAK and two international software-intensive projects in Europe called ITEA ModelWriter and ITEA Assume. In 2017 and 2018, he was a faculty member as an assistant professor at Ege University. From January 2019 to July 2020, he was a postdoc researcher at the University of Antwerp, working on a Flanders Make projects called PACo and DTDesign. He is currently a tenure-track assistant professor in the Department of Computer Science at the University of Antwerp. He is also the core laboratory manager of AnSyMo/Cosys core laboratory of Flanders Make Strategic Research Center at the University of Antwerp. His research interests include domain-specific modeling languages, multi-agent systems, cyber-physical systems, the Internet of Things, and digital twins. Prof. Challenger is also a member of the IEEE and ACM.


“Digital Twin Driven Intelligent Systems and Emerging Metaverse”

The digital twin concept means realizing a digital copy of a physical entity or an existing process. It includes; the living model of the physical entity; the data coming from sensors, one-to-one comparisons with other entities, and the ability to track that entity in real-time.
Digital twin technology enables manufacturers to

  • understand their products better in the product design,
  • implement real-time simulation, tracking, and optimization,
  • analyze the processes accordingly.

Testing on a digital twin can be more efficient (easier, faster, less error-prone, and cheaper) especially for complex products or systems. The product can be evaluated in its virtual form before it is represented in the physical world.
The digital twin also reduces operating costs and extends the life of equipment and assets. Digital twins add value to the traditional working approaches by improving awareness, optimization in the field used. It can work on changeable conditions for preventive care. It can reduce operating expenses and potential capital expenses by extending the life of the object they represent and optimizing its operating performance.
The digital twin is an important technology, so we aim to publish high-quality research studies as the chapters of the “Digital Twin Driven Intelligent Systems” book.

Topics of interest include but are not limited to:

  • Digital twin
  • Digital Twins and Energy Storage
  • Digital Twins in Power Systems
  • Smart Cities and Digital Twin
  • Digital twin and Aircraft engines
  • Digital twin and Climate Crisis
  • Digital twin and Wind turbines
  • Digital twin and Large structures (offshore platforms, offshore vessels etc.)
  • Digital twin and HVAC control systems
  • Digital twin and Locomotives
  • Digital twin and Buildings
  • Digital twin and Utilities (electric, gas, water, wastewater networks)
  • Digital twin and Manufacturing
  • Embedded digital twin
  • Digital Twins of electric power assets and infrastructure
  • Digital Twins for Industry 4.0
  • Digital Twin for the water sector
  • Digital Twin in Urban planning
  • Digital Twin in eGovernment
  • Digital Twin in Construction
  • Digital Twin and Healthcare
  • Digital Twin for Engineering
  • Digital Twin and Aviation
  • Digital Twin and Mechanical and Aerospace
  • Digital Twin and Security
  • Digital Twin and Agriculture
  • Digital Twin and Space Operations & Spacecrafts
  • Digital Twin and Hospitality Industry
  • Digital Twin for Mining
  • Digital Twin and Maintenance


Book Editors
Enis KARAARSLAN, Phd, Assistant Professor, Mugla Sitki Kocman University, Computer Engineering, Mugla, Turkey (Email:

Omer AYDIN, Phd, Assistant Professor, Manisa Celal Bayar University, Manisa, Turkey (Email :

Umit Cali, Phd, Associate Professor, Department of Electric Power Engineering, Faculty of Information Technology and Electrical Engineering (

Moharram Challenger, Phd, Assistant Professor, Department of Computer Science, University of Antwerp, (

The book will be published electronically with ISBN by a publishing house. The book will be published by SPRINGER NATURE. The publication is planned to be released in 2022. You can see the publishing agreement thumbnail below. Please click on it to see the larger picture of it.

NO publication, processing, or any other fee.

Chapter Proposal Deadline: 15.12.2021
Chapter Proposal Acceptance / Rejection Date: 30.12.2021
Chapter Submission Date: 30.04.2022
Result of the review: 01.07.2022
Sending edited chapters: 15.07.2022
Acceptance: 30.07.2022
Planned Release : 2023

Submission Procedure

Please submit your chapters by April 30, 2022.

● Full paper text (8000 words maximum).
● The chapter must be in English and submitted in Microsoft Word (docx) format (only 1 file), using our template and guidelines listed below:
* It will be sent via mail to izmirakademidernegi[@]
● The detailed format guidelines will be announced here later..
● The submitted chapters will be reviewed by the editorial advisory board. Its acceptance, including the procedures for the revised chapter submission, will be communicated to the authors by March 30, 2022.
● Each chapter must be original.

For additional information/clarifications please contact izmirakademidernegi[@]