Intelligent Preservation: AI-Driven Innovation in Cultural Heritage Buildings
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Materials, and Repair & Renovation".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 1225
Special Issue Editors
Interests: architectural history and theory; Chinese traditional architecture; cultural heritage conservation; vernacular architecture; huiguan (guild hall) architecture
Interests: architectural computational design; traditional architecture space evolution
Interests: modern Chinese garden history and theory; urban history; concession history; transnational landscapes; historic landscape conservation; green cities
Interests: urban morphology; environmental behavior studies; space syntax; urban regeneration
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the transformative potential of Artificial Intelligence in architectural heritage conservation and innovation. As AI technologies rapidly advance, they offer unprecedented opportunities for documenting, analyzing, preserving, and revitalizing built heritage assets. This Special Issue addresses the critical need for interdisciplinary research that bridges heritage studies, computer science, and architectural practice.
We invite contributions exploring AI-driven approaches including computer vision for damage assessment, machine learning for structural analysis, generative AI for heritage-inspired design, digital twins for conservation planning, and semantic technologies for heritage information management. The scope encompasses technical innovations, methodological frameworks, ethical considerations, and practical case studies demonstrating successful AI applications in real heritage projects.
This collection aims to advance the field by fostering dialog between heritage professionals, technologists, and policymakers, ultimately contributing to more effective, intelligent, and sustainable approaches to architectural heritage conservation while respecting authenticity and conservation ethics.
Prof. Dr. Wei Chen
Prof. Dr. Hui Wang
Prof. Dr. Yichi Zhang
Dr. Xiaoling Dai
Dr. Xiang Ren
Guest Editors
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 250 words) can be sent to the Editorial Office for assessment.
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. Buildings 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 2600 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
- artificial intelligence
- architectural heritage
- digital twin
- heritage conservation
- computer vision
- machine learning
- 3D reconstruction
- cultural heritage management
- generative AI
- digital preservation
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