Dr. Ehsan Noroozinejad Farsangi holds distinguished positions within the academiccommunity as a Senior Researcher at the Urban Transformation Research Centre (UTRC),Western Sydney University in Australia and as a Principal Visiting Scientist at UBC SmartStructures in Canada. He is also an Adjunct Associate Professor at Southeast University in China,reflecting his global reach and expertise. As the Director of the Resilient Structures ResearchGroup, he has made significant contributions to the field of structural engineering with a team ofesteemed international researchers. Additionally, he is an Associate Editor for severaldistinguished journals at ASCE, Wiley, Springer, Sage, and IET. His prolific and influentialacademic career is underscored by the publication of over 160 high-impact journal papers, 7books in collaboration with esteemed publishers, and various patents. He is also a Co-foundingEditor of the Data-Centric Engineering Book series published by De Gruyter. His researchinterests encompass a wide range of topics, including smart materials and structures, resilience-based design, artificial intelligence, modular construction, and digital twins in construction. Dr. Mohammad Noori, a Fellow and Life Member of the American Society of MechanicalEngineering, is an Emeritus Professor of Mechanical Engineering at Cal Poly, San Luis Obispo; a Distinguished Visiting Professor at Henan University of Technology, China; and a Visiting Professor at the University of Leeds, United Kingdom. His original work in modeling complexhysteresis behavior, namely Bouc–Wen–Baber–Noori model, is widely cited and implementedfor nonlinear random vibration and seismic analysis and incorporated in several programs such as ABAQUS and OpenSees. He has also made pioneering contributions in seismic isolation and utilizing artificial neural networks in structural health monitoring that are broadly cited. Noori has published more than 300 refereed papers, 16 scientific books, and 31 book chapters. He cofounded the National Institute of Aerospace, established through a $379 million 15-year NASA contract; and in addition, he has received more than $17 million in research grants and contracts. Noori has supervised 24 postdoctoral, 26 PhD, and 54 MS projects, given more than 100 keynotes and invited talks, and directed the Sensors Program at the National Science Foundation. He also developed an online course, How to Write an Effective Research Paper, taken up by more than 13,000 students worldwide. He is a member of several honorary research societies and the Founding Editor of the CRC/Taylor and Francis Book Series, Resilience and Sustainability in Civil, Mechanical, Aerospace, and Manufacturing Engineering Systems series published by T&F. Dr. T.Y. Yang received his PhD from the University of California, Berkeley, in 2006. His research focuses on improving structural performance through advanced analytical simulation and experimental testing. He has developed the next-generation performance-based designAQ1 guidelines (adopted by the Applied Technology Council, the ATC-58 research team) in the United States; advanced experimental testing technologies, such as hybrid simulation and nonlinear control of shake table, to evaluate structural response under extreme loadingconditions; and risk-based simulation models for countries in the North and South Americaand the Global Earthquake Model (GEM) for the counties in South East Asia. He has beenactively involved in using novel technologies, such as base isolation systems and dampers toimprove structural performance. He has worked with leading structural engineering firms to peer-reviewed landmark buildings, including the tallest steel plate shear wall structure in the world. He is an active member of the Tall Buildings Initiative Project, funded by the Pacific Earthquake Engineering Research Center, to develop seismic design guidelines for tall buildings. He co-developed “OpenSees Navigator,” a software program widely used by design engineers and researchers to design and analyze complex structural systems. He has also developed “PBEE,” a software program to quantify facility loss under extreme events. Dr. Vasilis Sarhosis is a Professor and holds the Chair in Resilient Structures and Infrastructureat the School of Civil Engineering, University of Leeds. He is also a Visiting Professor at Southeast University, Nanjing, China, and a CDRI (Coalition for Disaster Resilience Infrastructure) Fellow. He has received both undergraduate and postgraduate degrees in civil engineering from the University of Leeds and worked as a consultant civil engineer in the UnitedKingdom. Prof. Sarhosis is a Chartered Engineer (CEng) and a Fellow of the Institute of CivilEngineering (FICE), the Institute of Mechanical Engineering (FIMEchE), and the Higher Education Academy (FHEA) in the United Kingdom. He is currently chairing the National Scientific Committee on the Analysis and Restoration of Structures of Architectural Heritage (ISCARSAH-UK), which is part of the ICOMOS. Dr. Seyedali Mirjalili is a Professor and globally renowned leader in artificial intelligence andoptimization, recognized as the No. 1 AI researcher on Stanford University’s prestigious World’s Top Scientists list since 2023. He founded the Centre for Artificial Intelligence Research andOptimization in 2019 and serves as a Professor of AI at Torrens University Australia, with distinguished professorships in Hungary and the Czech Republic. With more than 600 researchpublications, 130,000 citations, and an H-index of 125, Prof. Mirjalili is among the top 1% of highly cited researchers worldwide. His contributions include developing AI algorithms widely applied in science and industry and delivering influential talks, including a TED Talk on AI's transformative potential. Prof. Mirjalili is a strong advocate for responsible and inclusive AI, and he has collaborated with industry and government on ethical AI tools. As a senior member of IEEE and an editor for leading AI journals, he significantly contributed to the advancements of fundamental and applied research in the field. Recognized as a top research leader by TheAustralian for five years, his insights have earned significant media attention, which showcaseshis influence as a global thought leader. Dr. Mirosław J. Skibniewski is working as a Professor of construction engineering and project management at the University of Maryland, College Park, United States. He previously worked as a Professor and Associate Provost at Purdue University in West Lafayette, Indiana, United States. He holds a MEng degree from Warsaw University of Technology and MS and PhD degrees from Carnegie Mellon University, all in civil engineering. Prof. Skibniewski's research focuses on the new Construction 5.0 paradigm, including sustainable and resilient infrastructurethrough the use of modern IT-based solutions, sensor-based systems, 3D printing, smartmaterials, automation, and robotics. He holds distinguished professorships and honoraryappointments at universities and industrial research institutions in the United States andworldwide. Skibniewski is the Honorary Editor of Automation in Construction (Elsevier) andCo-Editor-in-Chief of Frontiers of Engineering Management (Springer).

• Section IDigital transformation foundations1. Introduction to digital transformation in the construction industry2. Revolutionizing construction small and medium-sized enterprises: leveragingplatform and data cooperatives for digital empowerment3. Navigating the path to construction’s digital renaissance4. Energy efficiency strategies, sustainable technologies, and building performance simulation tools adopted in the construction industry5. Sustainability in construction: challenges and opportunities6. The green construction framework: a strategic pathway to emissionreduction through technological innovations in the built environment7. Digital innovation in Green Rating Systems: driving the green andenergy transition in the construction sector8. Energy efficiency solutions in the digitalized construction sector9. Green building practices: integrating sustainability into construction projects10. Sustainability practices in the design and construction of civil engineering projects11. Standardization of reporting carbon in construction projects—an illustratedExample12. Recent developments in construction and building materials: smart,sustainable, and environmentally friendly approachesSection IIIResilience and adaptation in modern construction13. Resilience strategies for the digitalized construction sector14. A framework for resilience analysis of infrastructure systems15. Resilience and sustainability toward asset management improvement16. Resilience assessment of a long-span suspension bridge under heavydynamic traffic load via first-passage reliabilitySection IVData-centric engineering and technological innovations17. Integration of building information modeling and machine learning forpredictive maintenance 18. Virtual reality for immersive design and visualization in construction19. Smart cities: digital transformation for sustainable urban development20. Digital twins and smart sensors for building performance and maintenanceOptimization21. Data-centric engineering approaches in construction projects22. Artificial intelligence for enhanced decision-making in construction23. Demystifying machine learning for predictive analytics in construction24. Unmanned aerial vehicle application in civil structures monitoring via deepLearning25. Fundamentals of 3D printing of cementitious composites: freshproperty, machine design, and modeling perspectives26. 3D printing technologies in construction: innovations and applications27. Robotic construction and inspection: automation and efficiency in thebuilding process28. Structural damage detection using a computer vision–based measurementand finite element modeling updating method29. AIDaBIM: artificial intelligence to assess structural/seismic damage to historic heritage in a building information modeling environment30. The future of structural health monitoring with extended reality31. A two-stage novel approach for structural health monitoring32. Fiber reinforcement strategies in 3D concrete printing: addressing challenges and identifying research gaps33. Analytical design models in construction engineering: artificialneural network and gene expression programming practices34. Advanced artificial intelligence network to forecast the fire characteristics ofconcrete-filled steel columnsIndex