Next-Gen Risk Management: AI-Driven Solutions for Engineering and Construction Projects
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 August 2025 | Viewed by 125
Special Issue Editors
Interests: construction safety; AI-driven monitoring; deep learning; natural language processing; computer vision; large language model
Interests: construction safety; safety education; construction informatics; virtual reality; augmented reality
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) is transforming risk management in engineering and construction, offering predictive insights, automation, and real-time monitoring to enhance safety and efficiency. Traditional risk management relies on manual processes and historical data, often leading to inefficiencies and unforeseen hazards. AI-driven solutions, including machine learning, computer vision, and Internet of Things (IoT) integration, provide advanced capabilities for risk identification, assessment, and mitigation.
This Special Issue aims to explore the role of AI in modern risk management for engineering and construction projects. It will cover cutting-edge research and practical applications of AI technologies that enhance safety and reduce project uncertainties. We invite submissions that focus on AI-driven risk assessment models, digital twins for predictive risk analysis, autonomous monitoring systems, AI-powered safety compliance tools, and the integration of AI with Building Information Modeling (BIM), IoT, and drone-based surveillance.
Potential topics include, but are not limited to, the following:
- AI-based predictive risk modeling;
- Machine learning for hazard detection and accident prevention;
- Integration of AI with BIM, IoT, and digital twins;
- AI-driven safety compliance monitoring;
- Computer vision for site safety analysis;
- Autonomous systems for high-risk environments;
- AI-powered decision support for risk-aware project management.
We welcome original research, case studies, and reviews from academia and industry to explore AI’s transformative impact on risk management. This issue aims to advance AI-driven solutions for safer, more resilient, and efficient engineering and construction practices.
Dr. Syed Farhan Alam Zaidi
Dr. Akeem Pedro
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
- AI-driven risk management
- computer vision for safety
- autonomous monitoring systems
- digital twins in engineering
- safety compliance automation
- risk assessment in construction
- smart construction technologies
- AI and building information modeling (BIM)
- hazard detection and prevention
- robotics in risk mitigation
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