Norwegian version
Haidar Hosamo

Haidar Hosamo

About

I am an Associate Professor in Building Technology at OsloMet – Oslo Metropolitan University. My research and teaching focus on digital twins, life cycle assessment (LCA), building information modeling (BIM), and artificial intelligence for energy optimization and predictive maintenance of buildings. I lead and participate in research projects on smart building management, sustainable material choices, and the integration of emerging technologies in the construction industry, and supervise master’s and bachelor’s students.

Field of study

Artificial intelligence   LCA   BIM Building Information Modelling   Occupant modelling   Energy optimization   Digital twins

Scientific publications

Zabadi, Haneen Rebhi Yousef; Zemedkun, Fitsum; Hosamo, Haidar ; Kraniotis, Dimitrios (2026). Integration of digital twins and machine learning for predictive maintenance using APAR method rules in non-residential buildings. Frontiers in Built Environment. Vol. 11.
https://doi.org/10.3389/fbuil.2025.1734945

Hosamo, Haidar ; Plevris, Vagelis; Kraniotis, Dimitrios ; Rolfsen, Christian Nordahl (2025). Can quantum computing surpass classical algorithms in optimizing building performance? A benchmark study with 15,000 simulations. Energy and Buildings. Vol. 346.
https://doi.org/10.1016/j.enbuild.2025.116156

Hosamo, Haidar ; Hosamo, Mohsen; Dai, Jian ; Jiang, Zhiyu (2025). Efficient monitoring and prediction of the motion responses of compliant floating photovoltaic arrays: Case study of a hydrodynamic model test with erroneous sensor data. Results in Engineering (RINENG). Vol. 28.
https://doi.org/10.1016/j.rineng.2025.107625

Plevris, Vagelis; Hosamo, Haidar (2025). Responsible AI in structural engineering: a framework for ethical use. Frontiers in Built Environment. Vol. 11.
https://doi.org/10.3389/fbuil.2025.1612575

Mazzetto, Silvia; Hosamo, Haidar ; Al-Atroush, Mohamed Ezzat (2025). How Programmable Construction Can Shape the Future of Sustainable Building in Italy. Sustainability. Vol. 17.
https://doi.org/10.3390/su17051839

Hosamo, Haidar ; Hosamo, Mohsen; Dai, Jian ; Jiang, Zhiyu (2025). Bridging Data Gaps with Machine Learning for Reliable Monitoring of a Floating Solar Array Under Extreme Marine Environments. ISOPE - International Offshore and Polar Engineering Conference. Proceedings.
https://hdl.handle.net/11250/3210337

Hosamo, Haidar ; Coelho, Guilherme Barreto Arez; Buvik, Elsa; Drissi, Sarra ; Kraniotis, Dimitrios (2024). Building sustainability through a novel exploration of dynamic LCA uncertainty: Overview and state of the art. Building and Environment. Vol. 264.
https://doi.org/10.1016/j.buildenv.2024.111922

Alnmr, Ammar; Hosamo, Haidar ; Lyu, Chuangxin ; Ray, Richard Paul; Alzawi, Mounzer Omran (2024). Novel Insights in Soil Mechanics: Integrating Experimental Investigation with Machine Learning for Unconfined Compression Parameter Prediction of Expansive Soil. Applied Sciences. Vol. 14.
https://doi.org/10.3390/app14114819

Hosamo, Haidar ; Rolfsen, Christian Nordahl ; Zeka, Florent; Sandbeck, Sigurd Normann; Said, Sami; Sætre, Morten André (2024). Navigating the Adoption of 5D Building Information Modeling: Insights from Norway. Infrastructures. Vol. 9.
https://doi.org/10.3390/infrastructures9040075

Hosamo, Haidar ; Coelho, Guilherme Barreto Arez; Rolfsen, Christian Nordahl ; Kraniotis, Dimitrios (2024). Building performance optimization through sensitivity Analysis, and economic insights using AI. Energy and Buildings. Vol. 325.
https://doi.org/10.1016/j.enbuild.2024.114999





These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.

Research reports

Hosamo, Haidar ; Nielsen, Henrik Kofoed; Svennevig, Paul Ragnar; Svidt, Kjeld (2023). Digital Twin technology toward more sustainable buildings. ISBN: 9788284271576. 351 p. Universitetet i Agder.
https://hdl.handle.net/11250/3103743



These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.

Dissemination

Hosamo, Haidar ; Nielsen, Henrik Kofoed; Svennevig, Paul Ragnar; svidt, kjeld (2022). Digital Twin technology toward more sustainable buildings. Academic presentation at Multiconsult. Multiconsult.
https://hdl.handle.net/11250/4576733



These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.