Applied Computer Methods in Building Engineering
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 February 2026 | Viewed by 31
Special Issue Editors
Interests: deep learning; artificial intelligence in construction; smart construction and management; modular construction; off-site construction
Interests: construction management; smart construction; drones; artificial intelligence in construction; digital twin; digital diagnosis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Digital technologies are changing the way that we design, build, and manage buildings. As part of the ongoing shift toward Industry 4.0, tools such as building information modeling (BIM), automation, artificial intelligence (AI), and the Internet of Things (IoT) are being widely adopted in the construction industry. These technologies are helping to improve productivity, enhance safety, reduce costs, and support sustainable practices across all phases of a building’s life cycle.
In this digital era, computer-based methods are becoming essential in building engineering. From design and simulation to construction planning and facility management, digital tools are enabling smarter decision-making and better project outcomes. They also support collaboration among architects, engineers, contractors, and building operators.
This Special Issue requests original research articles, case studies, and reviews that explore how computer methods are being applied in building engineering. We encourage contributions from both academic researchers and industry professionals. Our goal is to share innovative ideas, practical solutions, and new developments that advance the field and promote smarter construction practices.
Prof. Dr. Hyunkyu Shin
Prof. Dr. Sanghyo Lee
Guest Editors
Manuscript Submission Information
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Keywords
- building information modeling (BIM) and digital twins
- computational design and performance analysis
- automation in design, planning, and construction
- artificial intelligence and machine learning for building systems
- smart building operations and facility management
- sensor technologies and real-time monitoring
- predictive maintenance using data-driven approaches
- visualization, AR/VR, and digital workflows
- human–computer interaction in building environments
- data analytics and decision support tools in construction
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