Special Session IIISession Topic: Intelligent Construction Management for Sustainability: AI, Digital Technologies and Circularity
The construction industry is undergoing a significant transformation driven by the growing demand for sustainability and the rapid development of artificial intelligence (AI) and digital technologies. Construction projects increasingly require innovative management approaches to improve productivity, resource efficiency, environmental performance, and decision-making throughout the project lifecycle. Artificial intelligence, machine learning, data analytics, Building Information Modelling (BIM), digital twins, computer vision, and other emerging technologies offer significant opportunities to transform construction planning, monitoring, management, and decision-making. At the same time, the transition towards sustainable and circular construction requires innovative approaches to green building development, resource efficiency, construction and demolition waste management, material reuse, recycling, and low-carbon development. This Special Session aims to provide an interdisciplinary platform for researchers and practitioners to explore the intersection of construction management, civil engineering, architecture, sustainability, artificial intelligence, digital technologies, and circularity. The session particularly emphasizes the application of intelligent and digital approaches to support improved management practices and sustainability-oriented decision-making across the lifecycle of buildings, infrastructure, and construction projects. The session welcomes theoretical, methodological, empirical, and case-based studies that contribute to the development of intelligent, sustainable, and circular practices in civil engineering, architecture, and the built environment.
Topics include, but are not limited to:
Topic 1. Artificial Intelligence and Intelligent Construction Management
- Artificial intelligence and machine learning applications in construction management
- AI-enabled project planning, scheduling, cost management, and risk management
- Predictive analytics for construction project performance
- AI-supported decision-making and resource optimization
- Generative AI and large language models for construction
- Computer vision and intelligent monitoring for construction projects
- AI-enabled structural health monitoring
Topic 2. Digital Technologies and Data-Driven Decision Support
- Building Information Modelling (BIM) and digital construction
- Digital twins for buildings and infrastructure
- Construction data analytics, big data, and IoT applications
- GIS-based and intelligent decision-support systems
- Digital transformation in construction management
- Integrated digital technologies for civil engineering and the built environment
Topic 3. Sustainable Construction and Green Buildings
- Sustainable construction management
- Green building development, management, assessment, and certification
- Low-carbon and net-zero construction
- Life-cycle sustainability assessment and carbon management
- AI and digital technologies for sustainable buildings and infrastructure
- Sustainability-oriented decision-making in construction projects
Topic 4. Circular Construction and Resource Management
- Circular economy and circular construction
- Construction and demolition waste management
- AI-enabled waste management and waste prediction
- Recycled and secondary construction materials
- Resource recovery, reuse, and recycling
- Digital technologies for circular construction and resource efficiency
Topic 5. Emerging Issues for Future Construction
- Construction 4.0 and Construction 5.0
- Smart and intelligent construction
- Human–AI collaboration in the construction industry
- Technology adoption and digital transformation
- Barriers and drivers of AI implementation
- AI governance, ethics, and responsible AI in the built environment
- November 1, 2026: Submission Deadline
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December 1, 2026: Notification Date
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December 20, 2026: Registration Deadline
https://confsys.iconf.org/submission/ceac2027
After log in, please choose "Special Session III"
Special Session Chair: Tran Thanh Ha, Vietnam National University, Vietnam
Dr. Tran Thanh Ha is a Lecturer in Construction Management at the International University, Vietnam National University Ho Chi Minh City. He received his Ph.D. degree from Thammasat University, Thailand, and conducted doctoral research at The University of Tokyo, Japan, as part of his doctoral research training. His research interests include construction management, sustainable construction, green buildings, circular economy in construction, construction and demolition waste management, recycled construction materials, Building Information Modelling (BIM), 3D laser scanning, virtual and augmented reality (VR/AR), and intelligent decision-support approaches for the built environment. His current research also explores the application of artificial intelligence, digital technologies, GIS, and multi-criteria decision-making to address sustainability and management challenges in construction and infrastructure development.
Special Session Co-Chair: Van Vy, Ho Chi Minh City University of Education, Vietnam
Dr. Van Vy received her Ph.D. degree from Chungbuk National University, South Korea. She is currently a lecturer with the Faculty of Information Technology, Ho Chi Minh City University of Education, Vietnam. Her research interests include image processing, signal processing, and artificial intelligence applications in structural health monitoring and healthcare. She has authored and co-authored numerous articles in reputable international journals, including Mechanical Systems and Signal Processing and Computer-Aided Civil and Infrastructure Engineering. She has also served as a reviewer for the KSCE Journal of Civil Engineering.