Photonics Techniques for Cultural Heritage Diagnostics Enabled by AI Tools
A special issue of Heritage (ISSN 2571-9408).
Deadline for manuscript submissions: 31 March 2027 | Viewed by 345
Editors
Interests: multimodal approaches to the analysis of cultural heritage; digital twins; laser spectroscopy; sustainability of laser cleaning technologies; risk assessment
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; machine learning; deep learning; image processing; computer vision; digital signal processing
Interests: light-matter interactions; laser materials processing; biophotonics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Heritage conservation is rapidly evolving through the integration of advanced photonic diagnostics, artificial intelligence-driven (AI-driven) cognitive modelling, and sustainability-focused monitoring frameworks. Recent developments across broadband spectroscopic sensing, interferometric and opto-mechanical deformation analysis, multimodal optical imaging, and distributed fibre-optic or environmental sensor networks enable high-fidelity, non-invasive characterisation of material properties, subsurface features, and structural dynamics in cultural heritage contexts. Simultaneously, digital twin (DT) models that can interpret multimodal diagnostics, forecast deterioration, and visualise environmental or structural responses are emerging as transformative tools for preventive conservation. When combined with robotic and unmanned inspection platforms, edge-cloud computational architectures, and eco-efficient acquisition strategies, these technologies form scalable sustainable photonic monitoring ecosystems that support climate resilience and reduce the diagnostic footprint of conservation workflows. This Special Issue invites interdisciplinary contributions that demonstrate how photonics, remote and robotic sensing, cognitive modelling, and sustainability principles can be integrated to advance early detection, predictive risk assessment, and long-term conservation planning.
Dr. Monica Dinu
Dr. Ioannis Vezakis
Prof. Dr. Costas Fotakis
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Heritage is an international peer-reviewed open access monthly 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 1800 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
- heritage science
- digital twins
- AI-driven cognitive modelling
- predictive conservation
- non-invasive sensing technologies
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