MINI REVIEW article
Front. Built Environ.
Sec. Construction Management
Volume 11 - 2025 | doi: 10.3389/fbuil.2025.1622873
This article is part of the Research TopicFrontiers of Smart Construction Management: Theoretical and Technological InnovationsView all articles
Artificial Intelligence in Civil Engineering: Emerging Applications and Opportunities
Provisionally accepted
Taba Nyokum
Yamem Tamut*- North Eastern Regional Institute of Science and Technology, Itanagar, India
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Artificial intelligence (AI) is rapidly transforming civil engineering by harnessing vast data streams and advanced computational methods. This review provides a comprehensive survey of AI innovations in civil engineering, covering key technologies (machine learning, deep learning, natural language processing, computer vision, robotics, and generative AI) and their applications across design, construction, monitoring, transportation, geotechnical, environmental, and asset management domains. This paper discuss how AI-driven models and systems improve efficiency, safety, and sustainability, while also addressing challenges such as data limitations, model interpretability, and ethical concerns. Emerging trends-such as digital twins, smart cities, and quantum computing-are highlighted, along with the growing need for workforce skills in AI. By synthesizing recent studies (e.g. Abioye et al., 2021; Sargiotis, 2024;Manmatharasan et al., 2025), this article aims to clarify how AI is reshaping civil engineering practice and to identify opportunities and gaps for future research.
Keywords: artificial intelligence, civil engineering, machine learning, infrastructure monitoring, sustainable development
Received: 04 May 2025; Accepted: 30 May 2025.
Copyright: © 2025 Nyokum and Tamut. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yamem Tamut, North Eastern Regional Institute of Science and Technology, Itanagar, India
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