Smart Buildings: Integrating BIM and Artificial Intelligence for New Challenges of Design

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

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• 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