The EPIA 2025 international conference - Tematic track: AI for Architecture, Engineering and Conservation
AI for Architecture, Engineering, and Conservation track highlights the transformative impact of Artificial Intelligence on above-mentioned sectors and beyond, covering advancements such as customized large foundation models, computer vision, and AI frameworks applied to infrastructure resilience, monitoring, and construction management. These technologies, including object detection, predictive modeling, and feature extraction, are driving innovation in identifying and addressing defects across areas such as climate-resilient infrastructure, cultural heritage preservation, structural integrity, and environmental monitoring. AI is increasingly vital for tasks like detecting deterioration, reconstructing historical artifacts in 3D, and predictive maintenance of pavements, water systems, and other critical infrastructure. Additionally, generative AI and other advanced methods are emerging as powerful tools in architectural design, urban planning, and environmental monitoring, as well as in developing sustainable materials. With growing access to data from satellites, drones, IoT sensors, and global collaborations, AI is revolutionizing how we analyze, understand, and act on complex, large-scale datasets in diverse infrastructure domains. The track highlights innovations in AI-driven methods, fostering collaboration between researchers, practitioners, and industry experts working at the intersection of architectural and urban design, engineering, environmental monitoring, and conservation.