Article
                                     Gispert, D.,              Yitmen, I.,              Sadri, H.,              Taheri, A.          
  (2025).
  
Development of an ontology-based asset information model for predictive maintenance in building facilities    Smart and Sustainable Built Environment, 14(3), 740-757.
            
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                                     Tavakoli, P.,              Yitmen, I.,              Sadri, H.,              Taheri, A.          
  (2024).
  
Blockchain-based digital twin data provenance for predictive asset management in building facilities    Smart and Sustainable Built Environment, 13(1), 4-21.
            
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                                     Hellenborn, B.,              Eliasson, O.,              Yitmen, I.,              Sadri, H.          
  (2024).
  
Asset information requirements for blockchain-based digital twins: a data-driven predictive analytics perspective    Smart and Sustainable Built Environment, 13(1), 22-41.
            
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                                     Jaryani, S.,              Yitmen, I.,              Sadri, H.,              Alizadehsalehi, S.          
  (2023).
  
Exploring the Fusion of Knowledge Graphs into Cognitive Modular Production    Buildings, 13(9).
            
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                                   Sadri, H.,              Yitmen, I.,              Tagliabue, L.,              Westphal, F.,              Tezel, A.,              Taheri, A.,              Sibenik, G.          
  (2023).
  
Integration of Blockchain and Digital Twins in the Smart Built Environment Adopting Disruptive Technologies—A Systematic Review.
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                                     Sadri, H.,              Pourbagheri, P.,              Yitmen, I.          
  (2022).
  
Towards the implications of Boverket's climate declaration act for sustainability indices in the Swedish construction industry    Building and Environment, 207 A.
            
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                                     Sadrinooshabadi, S.,              Taheri, A.,              Yitmen, I.,              Jongeling, R.          
  (2021).
  
Requirement management in a life cycle perspective based on ISO 19650-1 and CoClass as the new classification system in Sweden    Engineering Construction and Architectural Management, 28(9), 2736-2753.
            
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Book chapter
                                     Yitmen, I.,              Sadri, H.,              Taheri, A.          
  (2023).
  AI-Driven Digital Twins for Predictive Operation and Maintenance in Building Facilities.
      In:
    I. Yitmen & S. Alizadehsalehi
    (Ed.),
    
    
         Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure:
      Challenges, Opportunities and Practices
          (pp. 65      -78).
    
      
            
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Conference paper
                                   Sadri, H.,              Yitmen, I.          
  (2024).
  
Trends in the Adoption of Artificial Intelligence for Enhancing Built Environment Efficiency: A Case Study Analysis.
  
        ICCEPM 2024, The 10th International Conference on Construction Engineering and Project Management July 29 - August 1, 2024, Sapporo, Japan.
  
           
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                                   Sadri, H.,              Yitmen, I.,              Tagliabue, L.,              Westphal, F.          
  (2023).
  
A Conceptual Framework For Blockchain and Ai-Driven Digital Twins For Predictive Operation and Maintenance.
  
        2023 European Conference on Computing in Construction and Summer School 2023 CIB W78 40th International Conference and Charles M. Eastman PhD Award Heraklion 10 July 2023 through 12 July 2023.
  
           
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Other publications
                                   Sadri, H.          
  .
  
A Synergistic Transformation in Sustainable Building Management Systems: Bridging Technology and Practicality.
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Licentiate thesis
                                    Sadri, H.          
  (2024).
  
Digital transformation for sustainable asset management: Integrating blockchain and AI with digital twins in building operations
  (Licentiate thesis, Jönköping:
      Jönköping University, School of Engineering).
  
            
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