Applying Artificial Intelligence in Construction Management—2nd Edition
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".
Deadline for manuscript submissions: 28 February 2027 | Viewed by 30
Special Issue Editors
Interests: artificial intelligence; innovative project delivery and contracting methods; construction safety; automation in construction; construction productivity; data analytics
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning/artificial intelligence; construction analytics; risk management; innovative project delivery
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; data science; high-performance computing; signal processing; drone technology; virtual reality training; augmented reality; mixed reality; building information modeling (BIM); digital twins
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) is reshaping the construction industry through the integration of machine learning, computer vision, robotics, and large-scale data analytics. Construction management, which encompasses project planning, scheduling, cost estimation, resource allocation, risk assessment, safety, and quality control, stands to benefit substantially from these advances, given its reliance on coordinating complex and heterogeneous information under significant constraints.
Recent research has demonstrated the potential of AI to improve cost and schedule forecasting, automate progress and safety monitoring, support defect and hazard detection, and enhance the analysis of unstructured project documents through natural language processing and large language models. Coupled with digital twins, generative design, and robotics, these technologies offer opportunities to improve productivity, safety, and sustainability across the project lifecycle. Nevertheless, their adoption remains constrained by the limited availability of high-quality and interoperable datasets, workforce skill gaps, concerns regarding the transparency and reliability of AI-driven decisions, and emerging cybersecurity and data privacy risks.
This Special Issue (2nd Edition) invites original research articles, case studies, and critical reviews that advance both the methodological foundations and the practical implementation of AI in construction management. Topics of interest include, but are not limited to, the following:
- AI, robotics, and automation in construction processes;
- Machine learning, deep learning, and generative AI applications;
- Computer vision for progress, safety, and quality monitoring;
- Natural language processing and large language models for construction documentation;
- Predictive analytics for cost, schedule, and risk management;
- Intelligent decision support and optimization systems;
- Sustainable and smart construction practices;
- Digital twins, BIM integration, and AI-based simulation;
- Explainable and trustworthy AI in construction;
- Cyber–physical systems, cybersecurity, and data privacy.
Dr. Phuong Hoang Dat Nguyen
Dr. Minsoo Baek
Dr. Md Nazmus Sakib
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 250 words) can be sent to the Editorial Office for assessment.
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
- artificial intelligence
- machine learning/deep learning
- computer vision
- natural language processing
- predictive analytics
- smart construction
- digital twins
- cyber–physical systems
- automation in construction
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Related Special Issue
- Applying Artificial Intelligence in Construction Management in Buildings (7 articles)
