Dr. Joseph Bamidele Awotunde is a Lecturer in the Department of Computer Science, Faculty of Communication and Information Sciences, University of Ilorin, Ilorin, Nigeria. His area of research interest cut across Artificial Intelligence, Internet of Things, Cybersecurity, Information Security, Social Computing, Bioinformatics, and Biometrics. He has to his credit over one hundred and fifty publications in reputable outlets like Elsevier, Springer, Hindawi among others covering journals, edited conference proceedings and chapters in books. He was part of the team that won the Artificial Intelligence for Females in Science Technology, Engineering and Mathematics (AI4FS) Grant sponsored by Royal Academy of Engineering (Higher Education Partnerships in sub-Saharan Africa (HEP SSA) 22/24). He is an Associate Editor of the PLOS ONE, and IEEE Transactions on Neural Systems & Rehabilitation Engineering. He is also a member of many professional bodies within and outside Nigeria such as International Association of Engineers and Computer Scientist (MIAENG), Computer Professional Registration Council of Nigeria (MCPN), and Nigeria Computer Society (MNCS). Internet Society.Fuqian Shi (Senior Member, IEEE) received the Ph.D. degree in engineering from the College of Computer Science and Technology, Zhejiang University. He was a Visiting Associate Professor with the Department of Industrial Engineering and Management System, University of Central Florida, Orlando, FL, USA, from 2012 to 2014. He is currently an Associate Professor with the Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA. He serves more than 30 committee board memberships for international conferences. He has published more than 80 journal articles and conference proceedings. His research interests include fuzzy inference system, artificial neuro networks, and biomechanical engineering. He also serves as an Associate Editor for the International Journal of Ambient Computing and Intelligence (IJACI), the International Journal of Rough Sets and Data Analysis (IJRSDA), and a Special Issue Editor of fuzzy engineering and intelligent transportation in Information: An International Interdisciplinary Journal Subhendu Kumar Pani received his Ph.D. from Utkal University Odisha, India. He has more than 16 years of teaching and research experience. His research interests include data mining, big data analysis, web data analytics, fuzzy decision making and computational intelligence. He is a fellow in SSARSC and life member in IE, ISTE, ISCA, OBA.OMS, SMIACSIT, SMUACEE, CSI. Dr. Jing Shi is a full professor of Mechanical Engineering, as well as the director for the Industrial & Systems Engineering program at University of Cincinnati, USA. His expertise covers renewable energy, materials and manufacturing for energy conservation, green manufacturing, energy economics, modeling and optimization of complex systems, Industry 4.0, digital manufacturing, manufacturing innovations, big data analytics, and circular economy. He has published more than 200 refereed papers in technical journals and conference proceedings, and he has been recognized as a top 2% most widely cited scientist, in the list of “the World's Top 2% Scientists”, published by Stanford University. He currently serves as an Area Editor for Computers and Industrial Engineering, an Associate Editor for International Journal of Green Energy, as well as an editorial member of multiple international journals. He is also a frequent recipient of teaching and research awards, a regular reviewer for federal funding agencies, and a conference organizer of numerous international conferences.

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• Part I: Advanced Artificial Intelligence in Smart Healthcare Systems1. Overview of AI-based in Smart Healthcare Systems2. Artificial intelligence enabling Smart Healthcare Systems3. Architectural Design Requirements for AI-based Smart Healthcare Systems4. Computation Complexity and Energy-efficiency of AI-based Smart Healthcare Systems5. Smart Healthcare big data analytics in the Medical industry6. Systematic AI-Driven based Information System in Smart HealthcarePart II: Applications of Metaverse in Smart Healthcare Systems7. Metaverse Technologies in Healthcare Systems8. Architectural Design Requirements for Metaverse-based Smart Healthcare Systems9. Significance of Metaverse Integration in Smart Healthcare Systems10. Virtual Reality (VR) and Augmented Reality (AR) Applications in Smart Healthcare Systems11. Interoperability Standards for Metaverse Integration in Healthcare Systems12. Forecasting Health Trends in the Metaverse13. Energy-efficient Optimization Schemes for Metaverse-based Smart Healthcare Systems14. Legal Framework and Regulatory Policies for Designing Metaverse-based Healthcare SystemsPart III: Advanced Personalized and Predictive Medicine using AI-Driven Metaverse15. The Role of AI-Driven Metaverse Integration in Smart HealthcarePart III Emerging Technologies in AI and Metaverse16. Artificial intelligence enabling metaverse-based Healthcare Systems17. Edge and cloud-based deployment of AI-Driven Metaverse Integration in Smart Healthcare18. Blockchain-assisted computational tools for AI-Driven Metaverse Integration in Smart Healthcare19. Ethical Considerations and Privacy in AI-Driven Metaverse Healthcare20. Computation Complexity and Energy-efficiency of AI-Driven Metaverse Integration in Smart Healthcare21. Security and Privacy Schemes for AI-Driven Metaverse Integration in Smart Healthcare22. Threat assessment and mitigation techniques in AI-Driven Metaverse Integration in Smart Healthcare23. Designing Intuitive Virtual Healthcare Interfaces using AI-Driven Metaverse24. Successful Implementations of AI in Healthcare Metaverse25. Industry Collaboration for Advancing AI-Driven Metaverse Integration in Smart Healthcare26. Shaping the Future of Personalized and Predictive Healthcare using AI-Driven Metaverse

Dr. Joseph Bamidele Awotunde is a Lecturer in the Department of Computer Science, Faculty of Communication and Information Sciences, University of Ilorin, Ilorin, Nigeria. His area of research interest cut across Artificial Intelligence, Internet of Things, Cybersecurity, Information Security, Social Computing, Bioinformatics, and Biometrics. He has to his credit over one hundred and fifty publications in reputable outlets like Elsevier, Springer, Hindawi among others covering journals, edited conference proceedings and chapters in books. He was part of the team that won the Artificial Intelligence for Females in Science Technology, Engineering and Mathematics (AI4FS) Grant sponsored by Royal Academy of Engineering (Higher Education Partnerships in sub-Saharan Africa (HEP SSA) 22/24). He is an Associate Editor of the PLOS ONE, and IEEE Transactions on Neural Systems & Rehabilitation Engineering. He is also a member of many professional bodies within and outside Nigeria such as International Association of Engineers and Computer Scientist (MIAENG), Computer Professional Registration Council of Nigeria (MCPN), and Nigeria Computer Society (MNCS). Internet Society.Fuqian Shi (Senior Member, IEEE) received the Ph.D. degree in engineering from the College of Computer Science and Technology, Zhejiang University. He was a Visiting Associate Professor with the Department of Industrial Engineering and Management System, University of Central Florida, Orlando, FL, USA, from 2012 to 2014. He is currently an Associate Professor with the Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA. He serves more than 30 committee board memberships for international conferences. He has published more than 80 journal articles and conference proceedings. His research interests include fuzzy inference system, artificial neuro networks, and biomechanical engineering. He also serves as an Associate Editor for the International Journal of Ambient Computing and Intelligence (IJACI), the International Journal of Rough Sets and Data Analysis (IJRSDA), and a Special Issue Editor of fuzzy engineering and intelligent transportation in Information: An International Interdisciplinary Journal Subhendu Kumar Pani received his Ph.D. from Utkal University Odisha, India. He has more than 16 years of teaching and research experience. His research interests include data mining, big data analysis, web data analytics, fuzzy decision making and computational intelligence. He is a fellow in SSARSC and life member in IE, ISTE, ISCA, OBA.OMS, SMIACSIT, SMUACEE, CSI. Dr. Jing Shi is a full professor of Mechanical Engineering, as well as the director for the Industrial & Systems Engineering program at University of Cincinnati, USA. His expertise covers renewable energy, materials and manufacturing for energy conservation, green manufacturing, energy economics, modeling and optimization of complex systems, Industry 4.0, digital manufacturing, manufacturing innovations, big data analytics, and circular economy. He has published more than 200 refereed papers in technical journals and conference proceedings, and he has been recognized as a top 2% most widely cited scientist, in the list of “the World's Top 2% Scientists”, published by Stanford University. He currently serves as an Area Editor for Computers and Industrial Engineering, an Associate Editor for International Journal of Green Energy, as well as an editorial member of multiple international journals. He is also a frequent recipient of teaching and research awards, a regular reviewer for federal funding agencies, and a conference organizer of numerous international conferences.

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• Part I: Advanced Artificial Intelligence in Smart Healthcare Systems1. Overview of AI-based in Smart Healthcare Systems2. Artificial intelligence enabling Smart Healthcare Systems3. Architectural Design Requirements for AI-based Smart Healthcare Systems4. Computation Complexity and Energy-efficiency of AI-based Smart Healthcare Systems5. Smart Healthcare big data analytics in the Medical industry6. Systematic AI-Driven based Information System in Smart HealthcarePart II: Applications of Metaverse in Smart Healthcare Systems7. Metaverse Technologies in Healthcare Systems8. Architectural Design Requirements for Metaverse-based Smart Healthcare Systems9. Significance of Metaverse Integration in Smart Healthcare Systems10. Virtual Reality (VR) and Augmented Reality (AR) Applications in Smart Healthcare Systems11. Interoperability Standards for Metaverse Integration in Healthcare Systems12. Forecasting Health Trends in the Metaverse13. Energy-efficient Optimization Schemes for Metaverse-based Smart Healthcare Systems14. Legal Framework and Regulatory Policies for Designing Metaverse-based Healthcare SystemsPart III: Advanced Personalized and Predictive Medicine using AI-Driven Metaverse15. The Role of AI-Driven Metaverse Integration in Smart HealthcarePart III Emerging Technologies in AI and Metaverse16. Artificial intelligence enabling metaverse-based Healthcare Systems17. Edge and cloud-based deployment of AI-Driven Metaverse Integration in Smart Healthcare18. Blockchain-assisted computational tools for AI-Driven Metaverse Integration in Smart Healthcare19. Ethical Considerations and Privacy in AI-Driven Metaverse Healthcare20. Computation Complexity and Energy-efficiency of AI-Driven Metaverse Integration in Smart Healthcare21. Security and Privacy Schemes for AI-Driven Metaverse Integration in Smart Healthcare22. Threat assessment and mitigation techniques in AI-Driven Metaverse Integration in Smart Healthcare23. Designing Intuitive Virtual Healthcare Interfaces using AI-Driven Metaverse24. Successful Implementations of AI in Healthcare Metaverse25. Industry Collaboration for Advancing AI-Driven Metaverse Integration in Smart Healthcare26. Shaping the Future of Personalized and Predictive Healthcare using AI-Driven Metaverse

Dr. Joseph Bamidele Awotunde is a Lecturer in the Department of Computer Science, Faculty of Communication and Information Sciences, University of Ilorin, Ilorin, Nigeria. His area of research interest cut across Artificial Intelligence, Internet of Things, Cybersecurity, Information Security, Social Computing, Bioinformatics, and Biometrics. He has to his credit over one hundred and fifty publications in reputable outlets like Elsevier, Springer, Hindawi among others covering journals, edited conference proceedings and chapters in books. He was part of the team that won the Artificial Intelligence for Females in Science Technology, Engineering and Mathematics (AI4FS) Grant sponsored by Royal Academy of Engineering (Higher Education Partnerships in sub-Saharan Africa (HEP SSA) 22/24). He is an Associate Editor of the PLOS ONE, and IEEE Transactions on Neural Systems & Rehabilitation Engineering. He is also a member of many professional bodies within and outside Nigeria such as International Association of Engineers and Computer Scientist (MIAENG), Computer Professional Registration Council of Nigeria (MCPN), and Nigeria Computer Society (MNCS). Internet Society.Fuqian Shi (Senior Member, IEEE) received the Ph.D. degree in engineering from the College of Computer Science and Technology, Zhejiang University. He was a Visiting Associate Professor with the Department of Industrial Engineering and Management System, University of Central Florida, Orlando, FL, USA, from 2012 to 2014. He is currently an Associate Professor with the Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA. He serves more than 30 committee board memberships for international conferences. He has published more than 80 journal articles and conference proceedings. His research interests include fuzzy inference system, artificial neuro networks, and biomechanical engineering. He also serves as an Associate Editor for the International Journal of Ambient Computing and Intelligence (IJACI), the International Journal of Rough Sets and Data Analysis (IJRSDA), and a Special Issue Editor of fuzzy engineering and intelligent transportation in Information: An International Interdisciplinary Journal Subhendu Kumar Pani received his Ph.D. from Utkal University Odisha, India. He has more than 16 years of teaching and research experience. His research interests include data mining, big data analysis, web data analytics, fuzzy decision making and computational intelligence. He is a fellow in SSARSC and life member in IE, ISTE, ISCA, OBA.OMS, SMIACSIT, SMUACEE, CSI. Dr. Jing Shi is a full professor of Mechanical Engineering, as well as the director for the Industrial & Systems Engineering program at University of Cincinnati, USA. His expertise covers renewable energy, materials and manufacturing for energy conservation, green manufacturing, energy economics, modeling and optimization of complex systems, Industry 4.0, digital manufacturing, manufacturing innovations, big data analytics, and circular economy. He has published more than 200 refereed papers in technical journals and conference proceedings, and he has been recognized as a top 2% most widely cited scientist, in the list of “the World's Top 2% Scientists”, published by Stanford University. He currently serves as an Area Editor for Computers and Industrial Engineering, an Associate Editor for International Journal of Green Energy, as well as an editorial member of multiple international journals. He is also a frequent recipient of teaching and research awards, a regular reviewer for federal funding agencies, and a conference organizer of numerous international conferences.

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• Part I: Advanced Artificial Intelligence in Smart Healthcare Systems1. Overview of AI-based in Smart Healthcare Systems2. Artificial intelligence enabling Smart Healthcare Systems3. Architectural Design Requirements for AI-based Smart Healthcare Systems4. Computation Complexity and Energy-efficiency of AI-based Smart Healthcare Systems5. Smart Healthcare big data analytics in the Medical industry6. Systematic AI-Driven based Information System in Smart HealthcarePart II: Applications of Metaverse in Smart Healthcare Systems7. Metaverse Technologies in Healthcare Systems8. Architectural Design Requirements for Metaverse-based Smart Healthcare Systems9. Significance of Metaverse Integration in Smart Healthcare Systems10. Virtual Reality (VR) and Augmented Reality (AR) Applications in Smart Healthcare Systems11. Interoperability Standards for Metaverse Integration in Healthcare Systems12. Forecasting Health Trends in the Metaverse13. Energy-efficient Optimization Schemes for Metaverse-based Smart Healthcare Systems14. Legal Framework and Regulatory Policies for Designing Metaverse-based Healthcare SystemsPart III: Advanced Personalized and Predictive Medicine using AI-Driven Metaverse15. The Role of AI-Driven Metaverse Integration in Smart HealthcarePart III Emerging Technologies in AI and Metaverse16. Artificial intelligence enabling metaverse-based Healthcare Systems17. Edge and cloud-based deployment of AI-Driven Metaverse Integration in Smart Healthcare18. Blockchain-assisted computational tools for AI-Driven Metaverse Integration in Smart Healthcare19. Ethical Considerations and Privacy in AI-Driven Metaverse Healthcare20. Computation Complexity and Energy-efficiency of AI-Driven Metaverse Integration in Smart Healthcare21. Security and Privacy Schemes for AI-Driven Metaverse Integration in Smart Healthcare22. Threat assessment and mitigation techniques in AI-Driven Metaverse Integration in Smart Healthcare23. Designing Intuitive Virtual Healthcare Interfaces using AI-Driven Metaverse24. Successful Implementations of AI in Healthcare Metaverse25. Industry Collaboration for Advancing AI-Driven Metaverse Integration in Smart Healthcare26. Shaping the Future of Personalized and Predictive Healthcare using AI-Driven Metaverse