Simon Elias Bibri is a Senior Researcher, Project Coordinator, Editor-in-Chief, International Expert, and prolific scholar--with 8 authored books, 3 edited, and 11co-edited works, and an h-index of 53. Recognized by Stanford University and Elsevier, he has been ranked among the top 1% of scientists worldwide for five consecutive years.

• Introduction: The Next Frontier in Urban Computing and Intelligence: Redefining Sustainable Smart Cities through Generative AI and Generative AI of Things 1. The Rise of Generative AI and Generative AI of Things for Sustainable Smart City Development: Innovations, Opportunities, Data Solutions, Applications, and Prospects 2. Deep Generative Models for Cognitive Augmentation of AI of Things in Sustainable Smart Cities: A Comparative Analysis of GANs, VAEs, Diffusion Models, Transformers, and Hybrid Models 3. Generative AI of Things for Sustainable Smart Cities: Recent Advancements in Environmental Efficiency, Infrastructural Optimization, and Climate Resilience 4. Generative AI at the Intersection of Smart Cities, Environmental Sustainability, and Climate Change: Conceptual, Analytical, Methodological, Technical, and Practical Foundations 5. Harnessing the Transformative Potential of Generative AI for Advancing Sustainable Smart City Development Goals: Leading-Edge Solutions for Environmental and Climate Challenges 6. Generative AI of Things-Powered Sustainable Smart City Brain and Digital Twin Systems: Synergizing Real-Time Operational Management and Strategic Predictive Planning 7. A Pioneering Generative AI of Things Framework for Sustainable Smart City Brain and Digital Twin Integration: Tackling Data Challenges to Advance Environmental Management and Planning

Simon Elias Bibri is a Senior Researcher, Project Coordinator, Editor-in-Chief, International Expert, and prolific scholar--with 8 authored books, 3 edited, and 11co-edited works, and an h-index of 53. Recognized by Stanford University and Elsevier, he has been ranked among the top 1% of scientists worldwide for five consecutive years.

• Introduction: The Next Frontier in Urban Computing and Intelligence: Redefining Sustainable Smart Cities through Generative AI and Generative AI of Things 1. The Rise of Generative AI and Generative AI of Things for Sustainable Smart City Development: Innovations, Opportunities, Data Solutions, Applications, and Prospects 2. Deep Generative Models for Cognitive Augmentation of AI of Things in Sustainable Smart Cities: A Comparative Analysis of GANs, VAEs, Diffusion Models, Transformers, and Hybrid Models 3. Generative AI of Things for Sustainable Smart Cities: Recent Advancements in Environmental Efficiency, Infrastructural Optimization, and Climate Resilience 4. Generative AI at the Intersection of Smart Cities, Environmental Sustainability, and Climate Change: Conceptual, Analytical, Methodological, Technical, and Practical Foundations 5. Harnessing the Transformative Potential of Generative AI for Advancing Sustainable Smart City Development Goals: Leading-Edge Solutions for Environmental and Climate Challenges 6. Generative AI of Things-Powered Sustainable Smart City Brain and Digital Twin Systems: Synergizing Real-Time Operational Management and Strategic Predictive Planning 7. A Pioneering Generative AI of Things Framework for Sustainable Smart City Brain and Digital Twin Integration: Tackling Data Challenges to Advance Environmental Management and Planning

Simon Elias Bibri is a Senior Researcher, Project Coordinator, Editor-in-Chief, International Expert, and prolific scholar--with 8 authored books, 3 edited, and 11co-edited works, and an h-index of 53. Recognized by Stanford University and Elsevier, he has been ranked among the top 1% of scientists worldwide for five consecutive years.

• Introduction: The Next Frontier in Urban Computing and Intelligence: Redefining Sustainable Smart Cities through Generative AI and Generative AI of Things 1. The Rise of Generative AI and Generative AI of Things for Sustainable Smart City Development: Innovations, Opportunities, Data Solutions, Applications, and Prospects 2. Deep Generative Models for Cognitive Augmentation of AI of Things in Sustainable Smart Cities: A Comparative Analysis of GANs, VAEs, Diffusion Models, Transformers, and Hybrid Models 3. Generative AI of Things for Sustainable Smart Cities: Recent Advancements in Environmental Efficiency, Infrastructural Optimization, and Climate Resilience 4. Generative AI at the Intersection of Smart Cities, Environmental Sustainability, and Climate Change: Conceptual, Analytical, Methodological, Technical, and Practical Foundations 5. Harnessing the Transformative Potential of Generative AI for Advancing Sustainable Smart City Development Goals: Leading-Edge Solutions for Environmental and Climate Challenges 6. Generative AI of Things-Powered Sustainable Smart City Brain and Digital Twin Systems: Synergizing Real-Time Operational Management and Strategic Predictive Planning 7. A Pioneering Generative AI of Things Framework for Sustainable Smart City Brain and Digital Twin Integration: Tackling Data Challenges to Advance Environmental Management and Planning