Fernando Pacheco Torgal is a Principal Investigator at C-TAC, University of Minho. He holds the title of Counsellor (Top 0.5%) from the Portuguese Engineers Association and has been consistently recognized as a Scopus Highly Cited Scientist in the global rankings by Stanford University. With over 300 publications to his name, he has carried out in-depth peer reviews of more than one thousand scientific papers and assessed nearly one hundred research grant proposals across 15 countries. He serves on the editorial boards of nine international journals and has been involved in editorial decisions for several hundred manuscripts. In addition, he has edited 33 international books, many of which are available in the libraries of prestigious institutions such as Harvard, MIT, and Stanford. Zhao Xin-Yu, is a full Professor at the South China University of Technology, and is an expert in recycled aggregates.

• 1. IntroductionPart 1: Leveraging AI for a Circular Economy2. The Role of AI in Improving Materials’ Circularity Performance3. Towards AI futures for the circular adaptive reuse of buildings4. Using AI to Predict CO2 Emissions at the Building Demolition Stage5. Housing Passport to enhance circular economy in residential buildingsPart 2: AI-Enabled Smart Technologies6. Generative Design in the Built Environment7. AI-driven Design Optimization for Sustainable Buildings8. Unleashing the Potential of Artificial Intelligence in Construction9. Novel BIM-Derived Dataset for AI-Driven Energy Consumption Prediction10. (AI) and (BIM) Technologies for Sustainable Building in the Context of Smart Cities11. AI-Integration of Digital Twins and Blockchain for Smart Building Management12. AI-Optimization of Building Energy Efficiency and Occupants' ComfortPart 3: Harnessing AI Solutions to Strengthen Building Resilience13. Utilizing AI-Techniques for Efficient Condition Assessment of Building Components14. AI-Solutions to tackle Façade Fires in High-Rise Buildings15. AI for Detecting Building Defects16. AI in Optimization of the Stability of the Walls Against Wind Loads in Building Design17. Integrating Circular Economy and Life Cycle Assessment Strategies in Climate-Resilient Buildings18. Integrating AI, and sensor technology for engineering disasters mitigation in steel buildings19. Technologies for Disaster Prevention Based on Intelligent Monitoring of Building Structures

Fernando Pacheco Torgal is a Principal Investigator at C-TAC, University of Minho. He holds the title of Counsellor (Top 0.5%) from the Portuguese Engineers Association and has been consistently recognized as a Scopus Highly Cited Scientist in the global rankings by Stanford University. With over 300 publications to his name, he has carried out in-depth peer reviews of more than one thousand scientific papers and assessed nearly one hundred research grant proposals across 15 countries. He serves on the editorial boards of nine international journals and has been involved in editorial decisions for several hundred manuscripts. In addition, he has edited 33 international books, many of which are available in the libraries of prestigious institutions such as Harvard, MIT, and Stanford. Zhao Xin-Yu, is a full Professor at the South China University of Technology, and is an expert in recycled aggregates.

• 1. IntroductionPart 1: Leveraging AI for a Circular Economy2. The Role of AI in Improving Materials’ Circularity Performance3. Towards AI futures for the circular adaptive reuse of buildings4. Using AI to Predict CO2 Emissions at the Building Demolition Stage5. Housing Passport to enhance circular economy in residential buildingsPart 2: AI-Enabled Smart Technologies6. Generative Design in the Built Environment7. AI-driven Design Optimization for Sustainable Buildings8. Unleashing the Potential of Artificial Intelligence in Construction9. Novel BIM-Derived Dataset for AI-Driven Energy Consumption Prediction10. (AI) and (BIM) Technologies for Sustainable Building in the Context of Smart Cities11. AI-Integration of Digital Twins and Blockchain for Smart Building Management12. AI-Optimization of Building Energy Efficiency and Occupants' ComfortPart 3: Harnessing AI Solutions to Strengthen Building Resilience13. Utilizing AI-Techniques for Efficient Condition Assessment of Building Components14. AI-Solutions to tackle Façade Fires in High-Rise Buildings15. AI for Detecting Building Defects16. AI in Optimization of the Stability of the Walls Against Wind Loads in Building Design17. Integrating Circular Economy and Life Cycle Assessment Strategies in Climate-Resilient Buildings18. Integrating AI, and sensor technology for engineering disasters mitigation in steel buildings19. Technologies for Disaster Prevention Based on Intelligent Monitoring of Building Structures