Artificial Intelligence Technologies for Sustainable Building Design and Building Information Modeling

Dear Colleagues,

Artificial intelligence (AI) has emerged as a transformative force in the architecture, engineering, and construction (AEC) industry, particularly in sustainable building design and building information modeling (BIM). The integration of AI into BIM offers new opportunities with which to enhance design efficiency, optimize energy performance, and improve decision making across the entire building lifecycle. By leveraging AI-driven algorithms, machine learning, and data analytics, architects, engineers, and construction professionals can develop more intelligent, adaptive, and resource-efficient building systems.

This Special Issue focuses on the latest research and applications of AI technologies in sustainable building design and BIM. We aim to explore how AI can contribute to environmental sustainability, automate design optimization, improve project management, and facilitate digital collaboration. Additionally, we welcome studies on the application of AI and big data analytics in the analysis and design of architectural ornamentation, particularly for heritage buildings. AI-driven social network analysis can further support sustainable cultural design by revealing historical and societal influences on architectural patterns, fostering a deeper understanding of heritage preservation and contemporary adaptations.

This Special Issue welcomes original research articles and critical reviews that present innovative methodologies, case studies, and theoretical advancements related to AI-driven BIM applications for sustainable buildings, as well as AI-driven approaches for the analysis and design of architectural ornamentation in heritage conservation.

Topics of interest include, but are not limited to, the following:

• AI-assisted sustainable building design and optimization;
• Machine learning applications for energy-efficient buildings;
• Generative design and AI-driven parametric modeling;
• AI-based performance prediction for building lifecycle management;
• The integration of AI and digital twins into BIM;
• AI-driven automation in construction and facility management;
• Deep learning for material selection and sustainability assessment;
• Smart building systems and AI-based control strategies;
• AI-enhanced risk assessment and decision making in BIM;
• The synergy between AI, the IoT, and BIM for smart cities and green buildings;
• AI and big data analytics for architectural ornamentation design and decision making;
• AI-driven social network analysis for sustainable cultural design and heritage architecture.

We invite researchers, industry professionals, and academics to contribute cutting-edge research to this Special Issue, fostering the advancement of AI-powered sustainable building design, BIM applications, and AI-driven approaches in architectural heritage ornamentation and cultural sustainability.

Dr. Chung-Ho Su
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• artificial intelligence (AI) in architecture and construction
• sustainable building design
• building information modeling (BIM)
• AI-driven generative design
• machine learning for energy efficiency
• digital twin and BIM integration
• AI in construction automation
• smart building technologies
• deep learning for sustainable materials
• AI and IoT for green buildings
• AI-driven social network analysis
• AI and big data in architectural ornamentation design
• social network analysis for architectural ornamentation