N. Nasurudeen Ahamed received his Bachelor’s Degree in Computer Science and Engineering, followed by a Master’s Degree in Computer Science and Engineering. He also earned a PhD in Computer Science and Engineering. Currently, he serves as a postdoctoral fellow at the United Arab Emirates University, UAE. He has accumulated 11 years of teaching experience. His research interests are diverse, encompassing areas such as Blockchain, Cybersecurity, Supply Chain Management, and Industry 4.0.P. Karthikeyan is currently working as an Associate Professor in SoCSE at RV University, Bangalore, India. He possesses a high level of proficiency in project development and research, specializing in the domains of Cloud computing and the practical application of deep learning. He is well-versed in programming languages, including Java, Python, R, and C.Polinpapilinho F. Katina is an Associate Professor in the Department of Informatics and Engineering Systems at the University of South Carolina Upstate (Spartanburg, South Carolina, USA). His areas of research/teaching interests include, among others, Complex System Governance, Critical Infrastructure Systems, Decision Making and Analysis (under uncertainty), Emerging Technologies, Energy Systems (Smart Grids), Engineering Management, Infranomics, Manufacturing Systems, System-of-Systems, Systems Engineering, Systems pathology, and Systems Thinking.

• Chapter 1. AI and Blockchain-IoT (BIoT) for Supply Chain Sustainability. Chapter 2. Integrating Artificial Intelligence and Blockchain-IoT for Sustainable Supply Chain Practices. Chapter 3. Redefining Efficiency and Resilience in Supply Chain Management. Chapter 4. Explainable AI for All: Sustainable Supply Chains and Inclusive Accessibility for Persons with Disabilities. Chapter 5. Resilient and Sustainable Supply Chains: Leveraging AI and IoT for Real-Time Risk Intelligence. Chapter 6. Ethical and Social Implications of AI in Sustainable Supply Chain Management. Chapter 7. Responsible AI and Blockchain-Based Smart Contracts for Industries. Chapter 8. The Evolution of Supply Chains and the Role of Blockchain in Transforming Transparency, Trust, and Efficiency. Chapter 9. Blockchain and IoT: Successful Enablers of Sustainable Food Supply Chain. Chapter 10. Deep Learning based Barcode and Quick Response code Recognition for Real-Time Supply Chain Management applications. Chapter 11. Revolutionizing Supply Chain Management with AI-Driven Digital Twin Networks in 6G Era

N. Nasurudeen Ahamed received his Bachelor’s Degree in Computer Science and Engineering, followed by a Master’s Degree in Computer Science and Engineering. He also earned a PhD in Computer Science and Engineering. Currently, he serves as a postdoctoral fellow at the United Arab Emirates University, UAE. He has accumulated 11 years of teaching experience. His research interests are diverse, encompassing areas such as Blockchain, Cybersecurity, Supply Chain Management, and Industry 4.0.P. Karthikeyan is currently working as an Associate Professor in SoCSE at RV University, Bangalore, India. He possesses a high level of proficiency in project development and research, specializing in the domains of Cloud computing and the practical application of deep learning. He is well-versed in programming languages, including Java, Python, R, and C.Polinpapilinho F. Katina is an Associate Professor in the Department of Informatics and Engineering Systems at the University of South Carolina Upstate (Spartanburg, South Carolina, USA). His areas of research/teaching interests include, among others, Complex System Governance, Critical Infrastructure Systems, Decision Making and Analysis (under uncertainty), Emerging Technologies, Energy Systems (Smart Grids), Engineering Management, Infranomics, Manufacturing Systems, System-of-Systems, Systems Engineering, Systems pathology, and Systems Thinking.

• Chapter 1. AI and Blockchain-IoT (BIoT) for Supply Chain Sustainability. Chapter 2. Integrating Artificial Intelligence and Blockchain-IoT for Sustainable Supply Chain Practices. Chapter 3. Redefining Efficiency and Resilience in Supply Chain Management. Chapter 4. Explainable AI for All: Sustainable Supply Chains and Inclusive Accessibility for Persons with Disabilities. Chapter 5. Resilient and Sustainable Supply Chains: Leveraging AI and IoT for Real-Time Risk Intelligence. Chapter 6. Ethical and Social Implications of AI in Sustainable Supply Chain Management. Chapter 7. Responsible AI and Blockchain-Based Smart Contracts for Industries. Chapter 8. The Evolution of Supply Chains and the Role of Blockchain in Transforming Transparency, Trust, and Efficiency. Chapter 9. Blockchain and IoT: Successful Enablers of Sustainable Food Supply Chain. Chapter 10. Deep Learning based Barcode and Quick Response code Recognition for Real-Time Supply Chain Management applications. Chapter 11. Revolutionizing Supply Chain Management with AI-Driven Digital Twin Networks in 6G Era

N. Nasurudeen Ahamed received his Bachelor’s Degree in Computer Science and Engineering, followed by a Master’s Degree in Computer Science and Engineering. He also earned a PhD in Computer Science and Engineering. Currently, he serves as a postdoctoral fellow at the United Arab Emirates University, UAE. He has accumulated 11 years of teaching experience. His research interests are diverse, encompassing areas such as Blockchain, Cybersecurity, Supply Chain Management, and Industry 4.0.P. Karthikeyan is currently working as an Associate Professor in SoCSE at RV University, Bangalore, India. He possesses a high level of proficiency in project development and research, specializing in the domains of Cloud computing and the practical application of deep learning. He is well-versed in programming languages, including Java, Python, R, and C.Polinpapilinho F. Katina is an Associate Professor in the Department of Informatics and Engineering Systems at the University of South Carolina Upstate (Spartanburg, South Carolina, USA). His areas of research/teaching interests include, among others, Complex System Governance, Critical Infrastructure Systems, Decision Making and Analysis (under uncertainty), Emerging Technologies, Energy Systems (Smart Grids), Engineering Management, Infranomics, Manufacturing Systems, System-of-Systems, Systems Engineering, Systems pathology, and Systems Thinking.

• Chapter 1. AI and Blockchain-IoT (BIoT) for Supply Chain Sustainability. Chapter 2. Integrating Artificial Intelligence and Blockchain-IoT for Sustainable Supply Chain Practices. Chapter 3. Redefining Efficiency and Resilience in Supply Chain Management. Chapter 4. Explainable AI for All: Sustainable Supply Chains and Inclusive Accessibility for Persons with Disabilities. Chapter 5. Resilient and Sustainable Supply Chains: Leveraging AI and IoT for Real-Time Risk Intelligence. Chapter 6. Ethical and Social Implications of AI in Sustainable Supply Chain Management. Chapter 7. Responsible AI and Blockchain-Based Smart Contracts for Industries. Chapter 8. The Evolution of Supply Chains and the Role of Blockchain in Transforming Transparency, Trust, and Efficiency. Chapter 9. Blockchain and IoT: Successful Enablers of Sustainable Food Supply Chain. Chapter 10. Deep Learning based Barcode and Quick Response code Recognition for Real-Time Supply Chain Management applications. Chapter 11. Revolutionizing Supply Chain Management with AI-Driven Digital Twin Networks in 6G Era