TT AI for Architecture, Engineering and Conservation

The EPIA 2025 international conference

AI for Architecture, Engineering and Conservation

Thematic track of the 24th Portuguese Conference on Artificial Intelligence (EPIA 2025)
October 1-3, 2025, Faro, Portugal.
Webpage: https://epia2025.ualg.pt/

Important dates

Paper submission deadline:	May 23, 2025 (AoE)
Notification of paper acceptance:	July 4, 2025
Camera-ready papers deadline:	July 14, 2025 (AoE)
Conference:	October 1-3, 2025

Proceedings and presentation

Accept papers will be included in the conference proceedings as long as at least one author is registered in EPIA 2025 by the deadline of early bird registration.
EPIA 2025 proceedings are indexed in Thomson Reuters ISI Web of Science, Scopus, DBLP and Google Scholar.

Introduction

We are excited to invite submissions for the upcoming special issue/conference track on AI for Architecture, Engineering, and Conservation. This 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.

Topics of interest

We invite submissions that demonstrate cutting-edge AI applications, innovative methodologies, and real-world case studies, fostering a deeper understanding of AI’s role in conservation, restoration, architectural design, and engineering.

Accepted papers will be published in the Springer Lecture Notes on Artificial Intelligence (LNAI) series. Selected papers from the track will be also invited to submit extended versions to a Virtual Special Issues in the Journal of Cultural Heritage (Q2/Q1 since 2013 in SJR).