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. Dr. Cor Verdouw is a senior scientist at Wageningen University & Research in The Netherlands. He holds a degree in Business Economics from Erasmus University Rotterdam and received his Ph.D. from Wageningen University. His research focusses on key areas such as business informatics, agri-food chains and digital innovation. He has over 20 years of experience in research and education within this field. He has extensive expertise in coordinating national and European research and innovation projects across diverse agri-food sectors. In addition to his academic work, he has gained industry experience as a business consultant and as an innovation manager at a horticulture-focused software company.

• PART I: Introduction and foundations of digital twins1. Introduction2. Modeling artificial intelligence integration in digital twins: a systematic survey3. Autonomous digital twins: foundations, challenges, and future directionsPART II: AI integration in digital twins4. System engineering and artificial intelligence integration principles of digital-twins for tactical edge environments5. Artificial intelligence-augmented digital twins: a comparative study of machine learning and large language model integration in smart systems6. Enhancing Internet of Things security through artificial intelligence and digital twins7. Digital twins for artificial intelligencebased simulation of upcoming payment trends8. Optimizing agricultural sustainability: integrating the power of digital twin and artificial intelligence for renewable energy management9. Towards intelligent immersive systems: the convergence of digital twins, extended reality, and artificial intelligence10. Cloud-native digital twins for enhanced autonomous vehicle safetyPART III: Software and systems engineering11. Enhancing automation and manufacturing with digital twin systems12. Exploring the concept and use of organizational digital twin13. Data clumps as structural indicators in digital twin software: a static analysis perspective14. Intent-based unmanned aerial vehicle control: enabling unmanned aerial vehicle autonomy through large language model-based digital twin control15. DevOps for and by digital twins leveraging virtual replicas in continuous software engineeringPART IV: Application domains16. Digital twin underwater game engine environment for generating deep learning fish detection datasets17. Toward digital twins in the petroleum industry: opportunities and challenges18. The digital twin revolution: optimizing healthcare built environments for safety, efficiency, and resiliency19. Reducing errors in disaster management data with digital-twin architecture20. Digital twins for disaster management: mitigating structural obstacles in the response pipeline21. Digital twin-based reference architecture for smart greenhouses

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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. Dr. Cor Verdouw is a senior scientist at Wageningen University & Research in The Netherlands. He holds a degree in Business Economics from Erasmus University Rotterdam and received his Ph.D. from Wageningen University. His research focusses on key areas such as business informatics, agri-food chains and digital innovation. He has over 20 years of experience in research and education within this field. He has extensive expertise in coordinating national and European research and innovation projects across diverse agri-food sectors. In addition to his academic work, he has gained industry experience as a business consultant and as an innovation manager at a horticulture-focused software company.

• PART I: Introduction and foundations of digital twins1. Introduction2. Modeling artificial intelligence integration in digital twins: a systematic survey3. Autonomous digital twins: foundations, challenges, and future directionsPART II: AI integration in digital twins4. System engineering and artificial intelligence integration principles of digital-twins for tactical edge environments5. Artificial intelligence-augmented digital twins: a comparative study of machine learning and large language model integration in smart systems6. Enhancing Internet of Things security through artificial intelligence and digital twins7. Digital twins for artificial intelligencebased simulation of upcoming payment trends8. Optimizing agricultural sustainability: integrating the power of digital twin and artificial intelligence for renewable energy management9. Towards intelligent immersive systems: the convergence of digital twins, extended reality, and artificial intelligence10. Cloud-native digital twins for enhanced autonomous vehicle safetyPART III: Software and systems engineering11. Enhancing automation and manufacturing with digital twin systems12. Exploring the concept and use of organizational digital twin13. Data clumps as structural indicators in digital twin software: a static analysis perspective14. Intent-based unmanned aerial vehicle control: enabling unmanned aerial vehicle autonomy through large language model-based digital twin control15. DevOps for and by digital twins leveraging virtual replicas in continuous software engineeringPART IV: Application domains16. Digital twin underwater game engine environment for generating deep learning fish detection datasets17. Toward digital twins in the petroleum industry: opportunities and challenges18. The digital twin revolution: optimizing healthcare built environments for safety, efficiency, and resiliency19. Reducing errors in disaster management data with digital-twin architecture20. Digital twins for disaster management: mitigating structural obstacles in the response pipeline21. Digital twin-based reference architecture for smart greenhouses

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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. Dr. Cor Verdouw is a senior scientist at Wageningen University & Research in The Netherlands. He holds a degree in Business Economics from Erasmus University Rotterdam and received his Ph.D. from Wageningen University. His research focusses on key areas such as business informatics, agri-food chains and digital innovation. He has over 20 years of experience in research and education within this field. He has extensive expertise in coordinating national and European research and innovation projects across diverse agri-food sectors. In addition to his academic work, he has gained industry experience as a business consultant and as an innovation manager at a horticulture-focused software company.

• PART I: Introduction and foundations of digital twins1. Introduction2. Modeling artificial intelligence integration in digital twins: a systematic survey3. Autonomous digital twins: foundations, challenges, and future directionsPART II: AI integration in digital twins4. System engineering and artificial intelligence integration principles of digital-twins for tactical edge environments5. Artificial intelligence-augmented digital twins: a comparative study of machine learning and large language model integration in smart systems6. Enhancing Internet of Things security through artificial intelligence and digital twins7. Digital twins for artificial intelligencebased simulation of upcoming payment trends8. Optimizing agricultural sustainability: integrating the power of digital twin and artificial intelligence for renewable energy management9. Towards intelligent immersive systems: the convergence of digital twins, extended reality, and artificial intelligence10. Cloud-native digital twins for enhanced autonomous vehicle safetyPART III: Software and systems engineering11. Enhancing automation and manufacturing with digital twin systems12. Exploring the concept and use of organizational digital twin13. Data clumps as structural indicators in digital twin software: a static analysis perspective14. Intent-based unmanned aerial vehicle control: enabling unmanned aerial vehicle autonomy through large language model-based digital twin control15. DevOps for and by digital twins leveraging virtual replicas in continuous software engineeringPART IV: Application domains16. Digital twin underwater game engine environment for generating deep learning fish detection datasets17. Toward digital twins in the petroleum industry: opportunities and challenges18. The digital twin revolution: optimizing healthcare built environments for safety, efficiency, and resiliency19. Reducing errors in disaster management data with digital-twin architecture20. Digital twins for disaster management: mitigating structural obstacles in the response pipeline21. Digital twin-based reference architecture for smart greenhouses

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