Artificial Intelligence for a Sustainable Built Environment (AISBE)
Journal Descriptions
Our vision is to advance knowledge in AI applications within architecture, civil and construction engineering for a sustainable future. This cutting-edge gold open access journal publishes high-quality, peer-reviewed research that explores the intersection of AI, sustainability, and resilience in the built environment. By fostering interdisciplinary collaboration and innovation, the journal will contribute to the development of smarter, more sustainable infrastructure and construction practices. While AI is a focal point for the journal, it will also showcase the whole spectrum of construction and civil engineering research in digital and computer technologies. Artificial Intelligence for a Sustainable Built Environment is interdisciplinary by design and considers both the technical aspects of research along with the social implications. It supports multiple United Nations Sustainable Development Goals (UNSDGs), including: The journal covers a wide range of topics, including but not limited to: AI-driven design and analysis: Exploring the use of AI in the design and analysis of civil engineering projects, including structural engineering, geotechnical engineering, and infrastructure engineering. Smart construction and automation: Investigating the application of AI in construction automation, robotics, and intelligent construction technologies. Digital Twins and virtual environments: Leveraging digital twins and virtual environments for planning, monitoring, and controlling construction operations. Sustainable and resilient infrastructure: Focusing on AI applications that enhance the sustainability and resilience of infrastructure systems, including disaster mitigation and climate adaptation. Big Data and machine learning applications: Utilising big data and machine learning techniques to improve decision-making, project management, and operational efficiency in civil engineering.
Artificial Intelligence for a Sustainable Built Environment (AISBE) is :-
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International, Peer-Reviewed, Open Access, Refereed, Artificial Intelligence, Civil Engineering, Construction Engineering, Sustainable Infrastructure, Structural Engineering, Geotechnical Engineering, Urban Planning , Online , Monthly Journal
- UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2977-9197, Established: 2025,
- Does Not Provide Crossref DOI
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Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE