This paper explores the role of AI in the preventive and planning conservation of historic mosques.
It investigates the potential of integrating AI with Building Information Modeling (HBIM) to enhance the preservation of historic buildings in post-conflict reconstruction contexts.
It aims to provide a comprehensive overview of how AI with HBIM can be used to conserve and revitalize historic buildings, contributing to post-conflict reconstruction and cultural heritage conservation.
Research paper Title
Integrating Artificial Intelligence with Historic Building Information Modeling for Heritage Mosque Preservation
Personal Biography
EMAD HANI ISMAEEL ALALLAF
24/12/1971 – Mosul, Iraq
• Assoc. Professor, 2013, Department of Architecture, College of Engineering, University of Mosul
• Specialist in Urban Design - Conservation, Technology for Exploiting the Built Heritage
• Faculty member since 2002.
• Ph.D. in Design & Technology for Exploiting the Built Heritage, 2010, Politecnico di Milano, Italy. Entitled: “Meta Modelling For The Conservation Of The Cultural Heritage”.
• He worked as an international consultant and expert for a number of international organizations, such as ICCROM, UNDP, UNESCO, and ALECSO.
• Visiting Scholar in a research project, Staatlichen Museen zu Berlin, Germany,2019.
• He has more than 40 research papers published in peer-reviewed journals, international conferences.
• Author of 10 engineering and architectural books
• Coordinator and lecturer for a number of educational courses, workshops and scientific seminars
• He taught the subjects of architectural design, urban design, exterior space design, interior design, computer applications, architectural documentation, the basics of Urban preservation, and free drawing for preliminary studies, and theories of urban design, advanced design, and advanced architectural computer software for postgraduate studies.
Paper Abstract
AI applications have been increasingly used in historic building conservation, including structural health monitoring, damage assessment, public engagement, and ethical considerations. This paper explores the role of AI in the preventive and planning conservation of historic mosques. It investigates the potential of integrating AI with Building Information Modeling (HBIM) to enhance the preservation of historic buildings in post-conflict reconstruction contexts. The study highlights the challenges and opportunities presented by such environments and how AI can facilitate damage assessment, material analysis, structural health monitoring, and informed decisions regarding restoration and conservation efforts. The paper aims to provide a comprehensive overview of how AI with HBIM can be used to conserve and revitalize historic buildings, contributing to post-conflict reconstruction and cultural heritage conservation. The research is conducted in an analytical and applied manner in order to achieve the stated research objectives.
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