Saravanan Krishnan is Associate Professor in the Department of Computer Science & Engineering at the College of Engineering, Guindy, Anna University, Chennai, Tamil Nadu. He has done an ME in Software Engineering and a PhD in Computer Science Engineering. His research interests include cloud computing, software engineering, the Internet of Things (IoT), and smart cities. He has published papers in 14 international conferences and 30 international journals. He has also written 16 book chapters and edited eight books with international publishers. He has done numerous consultancy work for municipal corporations and smart city schemes. He is an active researcher and academic. He is also a reviewer for many reputed journals. He is a member of the ISTE, IEI, ISCA, ACM and others.A. Jose Anand is Professor in the Department of Electronics and Communication Engineering, KCG College of Technology, Chennai, Tamil Nadu. He has one year of industrial experience and 24 years of teaching experience. He has presented several papers at national and international conferences. He has published several papers in national and international journals, as well as books on polytechnic and engineering subjects. He is a member of the CSI, IEI, IET, IETE, ISTE, INS, QCFI and EWB. His current research interest is in wireless sensor networks, embedded systems, IoT, machine learning and image processing.S. Sendhilkumar is Professor in the Department of Information Science and Technology, CEG, Anna University, with 18 years of teaching experience in data mining, machine learning, data science and social network analytics. His research interests include personalized information retrieval, bibliometrics and social network mining. He has authored the book Concepts, Techniques and Applications. He received the CTS Best Faculty Award for 2018 and was awarded with Visvesvaraya Young Faculty Research Fellowship by the Ministry of Electronics and Information Technology (MeitY), Government of India, for 2019– 2021. He has authored/ coauthored textbooks on the fundamentals of computing and machine learning. He has developed e-content (40 modules with all four quadrants) for the course on data analytics for the E-Pathsala project of MHRD-UGC under its national mission on education through ICT. He has delivered live cast lecture series Edusat Programme on Artificial Intelligence for the engineering colleges affiliated with Anna University.

• Part 1: Concepts and Architecture 1. A Perspective on Digital Twins as an Emerging Technology 2. Architecture of Digital Twins and Applications 3. Unlocking Business Potential with Human Digital Twins: A Journey Toward Human- Centricity, Sustainability and Resilience 4. Digital Platforms for Business Applications Part 2: Technologies 5. Digital Twins and Artificial Intelligence 6. Blockchain Empowered Digital Twins: A Comprehensive Review of Integration and Innovation 7. Big Data and Digital Twins 8. Unlocking Value: Big Data, Digital Twins, Exploring the Future Digital Transformation and Its Trends Part 3: Applications 9. Digital Twins in Industry 4.0 Automation 10. Leveraging Digital Twins for Optimal Automation and Smart Decision-Making in Industry 4.0: Revolutionizing Automation and Efficiency 11. Digital Twins for Smart Manufacturing 12. Digital Twins for an Irrigation System 13. Diagnostics, Treatment and Patient Care in the Age of Digital Twins: A Game-Changer in Healthcare Part 4: Case Study and Challenges 14. Digital Twins in Industry 5.0: Some Challenges and Future Directions 15. Researching Trends on Smart Tourism Technology Using Bibliometric Analysis 16. Customized Cancer Care Using Digital Twins: The Case of Breast Cancer in Women 17. Digital Twin in Water Utilization: A Case Study to Estimate the Prediction of Water Usage

Saravanan Krishnan is Associate Professor in the Department of Computer Science & Engineering at the College of Engineering, Guindy, Anna University, Chennai, Tamil Nadu. He has done an ME in Software Engineering and a PhD in Computer Science Engineering. His research interests include cloud computing, software engineering, the Internet of Things (IoT), and smart cities. He has published papers in 14 international conferences and 30 international journals. He has also written 16 book chapters and edited eight books with international publishers. He has done numerous consultancy work for municipal corporations and smart city schemes. He is an active researcher and academic. He is also a reviewer for many reputed journals. He is a member of the ISTE, IEI, ISCA, ACM and others.A. Jose Anand is Professor in the Department of Electronics and Communication Engineering, KCG College of Technology, Chennai, Tamil Nadu. He has one year of industrial experience and 24 years of teaching experience. He has presented several papers at national and international conferences. He has published several papers in national and international journals, as well as books on polytechnic and engineering subjects. He is a member of the CSI, IEI, IET, IETE, ISTE, INS, QCFI and EWB. His current research interest is in wireless sensor networks, embedded systems, IoT, machine learning and image processing.S. Sendhilkumar is Professor in the Department of Information Science and Technology, CEG, Anna University, with 18 years of teaching experience in data mining, machine learning, data science and social network analytics. His research interests include personalized information retrieval, bibliometrics and social network mining. He has authored the book Concepts, Techniques and Applications. He received the CTS Best Faculty Award for 2018 and was awarded with Visvesvaraya Young Faculty Research Fellowship by the Ministry of Electronics and Information Technology (MeitY), Government of India, for 2019– 2021. He has authored/ coauthored textbooks on the fundamentals of computing and machine learning. He has developed e-content (40 modules with all four quadrants) for the course on data analytics for the E-Pathsala project of MHRD-UGC under its national mission on education through ICT. He has delivered live cast lecture series Edusat Programme on Artificial Intelligence for the engineering colleges affiliated with Anna University.

• Part 1: Concepts and Architecture 1. A Perspective on Digital Twins as an Emerging Technology 2. Architecture of Digital Twins and Applications 3. Unlocking Business Potential with Human Digital Twins: A Journey Toward Human- Centricity, Sustainability and Resilience 4. Digital Platforms for Business Applications Part 2: Technologies 5. Digital Twins and Artificial Intelligence 6. Blockchain Empowered Digital Twins: A Comprehensive Review of Integration and Innovation 7. Big Data and Digital Twins 8. Unlocking Value: Big Data, Digital Twins, Exploring the Future Digital Transformation and Its Trends Part 3: Applications 9. Digital Twins in Industry 4.0 Automation 10. Leveraging Digital Twins for Optimal Automation and Smart Decision-Making in Industry 4.0: Revolutionizing Automation and Efficiency 11. Digital Twins for Smart Manufacturing 12. Digital Twins for an Irrigation System 13. Diagnostics, Treatment and Patient Care in the Age of Digital Twins: A Game-Changer in Healthcare Part 4: Case Study and Challenges 14. Digital Twins in Industry 5.0: Some Challenges and Future Directions 15. Researching Trends on Smart Tourism Technology Using Bibliometric Analysis 16. Customized Cancer Care Using Digital Twins: The Case of Breast Cancer in Women 17. Digital Twin in Water Utilization: A Case Study to Estimate the Prediction of Water Usage

Saravanan Krishnan is Associate Professor in the Department of Computer Science & Engineering at the College of Engineering, Guindy, Anna University, Chennai, Tamil Nadu. He has done an ME in Software Engineering and a PhD in Computer Science Engineering. His research interests include cloud computing, software engineering, the Internet of Things (IoT), and smart cities. He has published papers in 14 international conferences and 30 international journals. He has also written 16 book chapters and edited eight books with international publishers. He has done numerous consultancy work for municipal corporations and smart city schemes. He is an active researcher and academic. He is also a reviewer for many reputed journals. He is a member of the ISTE, IEI, ISCA, ACM and others.A. Jose Anand is Professor in the Department of Electronics and Communication Engineering, KCG College of Technology, Chennai, Tamil Nadu. He has one year of industrial experience and 24 years of teaching experience. He has presented several papers at national and international conferences. He has published several papers in national and international journals, as well as books on polytechnic and engineering subjects. He is a member of the CSI, IEI, IET, IETE, ISTE, INS, QCFI and EWB. His current research interest is in wireless sensor networks, embedded systems, IoT, machine learning and image processing.S. Sendhilkumar is Professor in the Department of Information Science and Technology, CEG, Anna University, with 18 years of teaching experience in data mining, machine learning, data science and social network analytics. His research interests include personalized information retrieval, bibliometrics and social network mining. He has authored the book Concepts, Techniques and Applications. He received the CTS Best Faculty Award for 2018 and was awarded with Visvesvaraya Young Faculty Research Fellowship by the Ministry of Electronics and Information Technology (MeitY), Government of India, for 2019– 2021. He has authored/ coauthored textbooks on the fundamentals of computing and machine learning. He has developed e-content (40 modules with all four quadrants) for the course on data analytics for the E-Pathsala project of MHRD-UGC under its national mission on education through ICT. He has delivered live cast lecture series Edusat Programme on Artificial Intelligence for the engineering colleges affiliated with Anna University.

• Part 1: Concepts and Architecture 1. A Perspective on Digital Twins as an Emerging Technology 2. Architecture of Digital Twins and Applications 3. Unlocking Business Potential with Human Digital Twins: A Journey Toward Human- Centricity, Sustainability and Resilience 4. Digital Platforms for Business Applications Part 2: Technologies 5. Digital Twins and Artificial Intelligence 6. Blockchain Empowered Digital Twins: A Comprehensive Review of Integration and Innovation 7. Big Data and Digital Twins 8. Unlocking Value: Big Data, Digital Twins, Exploring the Future Digital Transformation and Its Trends Part 3: Applications 9. Digital Twins in Industry 4.0 Automation 10. Leveraging Digital Twins for Optimal Automation and Smart Decision-Making in Industry 4.0: Revolutionizing Automation and Efficiency 11. Digital Twins for Smart Manufacturing 12. Digital Twins for an Irrigation System 13. Diagnostics, Treatment and Patient Care in the Age of Digital Twins: A Game-Changer in Healthcare Part 4: Case Study and Challenges 14. Digital Twins in Industry 5.0: Some Challenges and Future Directions 15. Researching Trends on Smart Tourism Technology Using Bibliometric Analysis 16. Customized Cancer Care Using Digital Twins: The Case of Breast Cancer in Women 17. Digital Twin in Water Utilization: A Case Study to Estimate the Prediction of Water Usage