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Our Alumni - Work For Us
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 £10 million in funding, 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.
- Please visit the Pure Research Information Portal for further information
- 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
- A Quantitative, Evidence-based Analysis of Correlations Between Lean Construction and Building Information Modelling, Arayici, Y., Tokdemir, O., Kassem, M. 21 Nov 2023, In: Smart and Sustainable Built Environment
- Tugçe Baçnak 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
- Teaching and Learning PGCert July 24 2008
- Computer Aided Engineering PhD July 14 2004
- Computer Aided Engineering MSc September 28 2001
- Engineering BEng June 14 1999
- Chartered Construction Manager MCIOB 2015
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