AI in Construction: Automation, Optimization, and Safety
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 123
Special Issue Editors
Interests: intelligent infrastructure; deep learning; digital twins
Interests: prompt-guided large language models; evidential deep neural networks; decision-making under uncertainty; AI-enabled ground-penetrating radar detection
Special Issues, Collections and Topics in MDPI journals
Interests: digital transportation infrastructure; road detection and evaluation; intelligent construction
Special Issues, Collections and Topics in MDPI journals
Interests: non-destructive testing; sensor monitoring; deep learning; signal processing; pavement management systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) is revolutionizing the architecture, engineering, and construction (AEC) industry, driving unprecedented advancements in automation, optimization, and safety. By leveraging AI technologies, construction processes are becoming more efficient, sustainable, and safe, enhancing productivity, reducing costs, and minimizing risks across the entire project lifecycle.
This Special Issue invites original research papers and systematic reviews exploring innovative applications of AI in construction. We encourage submissions addressing, but not limited to, the following topics:
- AI-driven automated inspection and defect detection.
- Computer vision and deep learning for structural health monitoring.
- Intelligent robotics and autonomous machinery for construction site monitoring.
- AI-based optimization for resource allocation and scheduling.
- Machine learning for predictive maintenance and lifecycle management.
- AI in building information modeling (BIM) and digital twin technologies.
- Enhancing construction safety and risk management using AI.
- AI-driven decision support systems in construction project management.
- Big data analytics and AI for sustainable and green construction.
- Integration of IoT and AI for smart construction site management.
Dr. Jinhuan Shan
Dr. Zheng Tong
Dr. Difei Wu
Dr. Zhen Liu
Guest Editors
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.
Keywords
- construction automation
- smart construction
- construction safety
- structural health monitoring
- automated inspection
- building information modeling
- artificial intelligence
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