Smart Buildings: Integrating BIM and Artificial Intelligence for New Challenges of Design
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: 20 May 2025 | Viewed by 282
Special Issue Editors
Interests: Internet of Things; BIM HBIM; digital twin; metaverse; predictive maintenance; structural health monitoring; gamification; smart cities
Interests: artificial intelligence; context awareness; situation awareness; IoT; big data; cultural heritage preservation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
At the heart of the innovation process, where Artificial Intelligence (AI) intersects with Building Information Modeling (BIM), lies the creation of tomorrow's building: a giant with intelligence and sustainability. The development of intelligent architecture is one of the most exciting areas of innovation in civil engineering and architecture. Indeed, the integration of BIM and AI represents the starting point for a new era of design in which new solutions are offered to meet the design needs of the future. Additionally, much interest is focused on modern devices and sensors capable of real-time monitoring, gathering vast amounts of data that could lead to the construction of digital copies of existing buildings.
This intelligent approach to managing buildings is evolving through the potential offered by BIM and Artificial Intelligence, changing how buildings are planned, constructed, used, and maintained. This convergence of technologies introduces new horizons in design, making it possible to increase energy efficiency, optimize resource use, ensure the safety of residents, and increase the well-being of interior spaces by predicting and adapting to users' needs in real-time.
Their application is not limited to building construction but covers the entire life cycle, with challenges and new opportunities for data management, predictive analysis, and building conservation. Areas of interest include, but are not limited to, computation and data processing, machine learning, deep learning, the Internet of Things, and Digital Twin implementation for Smart Buildings.
Dr. Lorusso Angelo
Dr. Domenico Santaniello
Guest Editors
Dr. Sara Antinozzi
Guest Editor Assistant
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. Applied Sciences 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 2400 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
- smart buildings
- building information modeling (BIM)
- artificial intelligence (AI)
- sustainable architecture
- energy efficiency
- sensor technology and IoT
- digital twin
- predictive maintenance
- safety and environmental comfort
- deep learning algorithms
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
