Professor Yusuf Arayici

Professor

School: Architecture and Built Environment

Yusuf Arayici is a professor in the Built Environment at Northumbria University, Newcastle upon Tyne, UK, where he previously served as Deputy Head of Department and Head of Apprenticeship Programmes in Architecture and Built Environment. With a research career spanning more than two decades, he is internationally recognised for his expertise in Building Information Modelling (BIM), digital design, process improvement, energy management, and sustainability. He has successfully conducted leading roles in research projects totalling £10M in funding over his research career, working with both academic and industry partners across the UK, Europe, and internationally. He has also supervised sixteen PhD researchers and numerous MSc students, and authored over one hundred academic papers alongside six influential books on BIM, digitalisation, and sustainability.

His recent research advances focus on Deep Learning and Cognitive Digital Twins for healthcare facilities management, as well as AI-driven point cloud classifications for heritage BIM.

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Key Publications

Please visit the Pure Research Information Portal for further information
AI Implementation Roadmap for Automated HBIM: Toward Standardised Digital Workflows for UK Cultural Heritage, Gil, A., Arayici, Y. 25 Feb 2026, In: Buildings
A cost estimation recommendation system for improved contingency management in construction projects, Mostofi, F., Toğan, V., Tokdemir, O., Arayici, Y. 1 Feb 2025, In: Neural Computing and Applications
A Hybrid Modelling Approach for Information Processing Workflow in Inter-cultural Heritage Projects, Cugen, H., Arslan Selcuk, S., Arayici, Y. 16 Sep 2025, In: Archnet-IJAR: International Journal of Architectural Research
An AI-Supported Framework for Enhancing Energy Resilience of Historical Buildings Under Future Climate Change, Öztürk, B., Arslan Selcuk, S., Arayici, Y. 15 Aug 2025, In: Architecture
Enabling Cognitive Digital Twins in Healthcare: Data Types and Application Insights from Machine Learning Research, Baçnak, T., Arayici, Y. 14 Jul 2025, Proceedings of the 2025 European Conference on Computing in Construction, Porto, Portugal, European Council on Computing in Construction (EC3)
From Symmetry to Semantics: Improving Heritage Point Cloud Classification with a Geometry-Aware, Uniclass-Informed Taxonomy for Random Forest Implementation in Automated HBIM Modelling, Gil, A., Arayici, Y. 2 Oct 2025, In: Symmetry
Image-based Deep Learning Approaches for Point Cloud Classification for Heritage BIM Modelling, Gil, A., Arayici, Y. 23 Sep 2025, 30th CIPA Symposium “Heritage Conservation from Bits: From Digital Documentation to Data-driven Heritage Conservation", Hannover, Germany, International Society for Photogrammetry and Remote Sensing
Point Cloud Segmentation Based on the Uniclass Classification System with Random Forest Algorithm for Cultural Heritage Buildings in the UK, Gil, A., Arayici, Y. 24 Apr 2025, In: Heritage
Sustainable Communities through Digital Transformation, Arayici, Y., Thurairajah, N., Kumar, B. 29 Apr 2025
Machine and Deep Learning Implementations for Heritage Building Information Modelling: A Critical Review of Theoretical and Applied Research, Gil, A., Arayici, Y., Kumar, B., Laing, R. 1 Sep 2024, In: Journal on Computing and Cultural Heritage

PGR Supervision

Tugçe Baçnak Kasali Development of Reinforcement Learning enabled Cognitive Digital Twin Framework for Space Management in the Accident and Emergency Units of Hospitals Start Date: 01/10/2023
Aleksander Gil AI Implementation Roadmap for Automated HBIM Modelling in UK`s Cultural Heritage Assets Start Date: 01/10/2021 End Date: 01/10/2025