Prof. Mirosław Skibniewski Email: Orcid ID: 0000-0002-7102-753XPosition: full professorResearch groups Machine Learning Group Horizontal TabsPublications Biblio RSS 2026 1. Zhang, Z., W. Chen, J. Cai, H. Luo, and M. J. Skibniewski, "Hierarchical system decomposition and semantic enrichment of BIM for lifecycle support of MEP systems", Advanced Engineering Informatics, 2026. 2. Xia, Z., B. Zhong, S. Zhang, T. Zhao, and M. J. Skibniewski, "Graph-driven embedding reinforcement and traceable LLM agent for reliable element alignment in construction report generation", Automation in Construction, 2026. 2025 3. Liu, B., X. Cong, L. Wang, S. Zhang, H. Liu, J. Šaparauskas, L. Ustinovichius, and M. J. Skibniewski, "Spatial-temporal evolution and influencing factors of the coupling coordination degree between new infrastructure construction and high-quality development in urban agglomerations in China", Engineering, Construction and Architectural Management, 2025. 4. Fan, X., Y. Jiang, R. Y. Zhong, F. Duarte, W. Qiu, J. Hackl, and M. J. Skibniewski, "Advancements and potential pitfalls for smart cities and sentient infrastructures", Digital Engineering, 2025. 5. Demirbağ, A. Taha, H. Aladağ, Z. Işık, and M. J. Skibniewski, "Circular Economy-Based Decision-Making Model for Contractor Selection", Buildings, 2025. 6. Chen, H., Q. Geoffrey Shen, M. J. Skibniewski, Y. Cao, and Y. Liu, "Dynamic prediction and optimization of tunneling parameters with high reliability based on a hybrid intelligent algorithm ", Information Fusion, 2025. 7. Li, Y., W. Wang, J. Zhao, Y. Yang, Z. Zhang, M. J. Skibniewski, and J. Yuan, "Estimating demolition waste from residential interior photos: A Large Language Model solution", Automation in Construction, 2025. 8. Liu, Q., L. Zhang, and M. J. Skibniewski, "Network extension planning towards resilient urban critical infrastructures using deep reinforcement learning", APPLIED SOFT COMPUTING, 2025. 9. Liu, H., H. Zheng, Q. Ju, M. J. Skibniewski, and M. Wang, "Temporal-Spatial Evolution of BIM-Based Collaborative Innovation Network: Evidence from Patents in China’s Construction Industry", Journal of Management in Engineering - ASCE, 2025. 10. Zhang, L., J. Yuan, X. Yin, T. Gu, Y. Lu, P. Liu, and M. J. Skibniewski, "The emotional equation: how psychosocial support boosts safety practices in the context of construction 5.0", Frontiers in Psychology, 2025. 11. Chen, Z-S., Y. Tan, Z. Ma, Z. Zhu, and M. J. Skibniewski, "Unlocking the potential of quantum computing in prefabricated construction supply chains: Current trends, challenges, and future directions", Information Fusion, 2025. 12. Xiong, S-H., X-H. Wei, Z-S. Chen, H. Zhang, W. Pedrycz, and M. J. Skibniewski, "Identifying causes of aviation safety events using wW2V-tCNN with data augmentation", International Journal of General Systems, 2025. 2024 13. Xiong, S-H., Z-P. Wang, G. Li, M. J. Skibniewski, and Z-S. Chen, "Prediction of airport runway settlement using an integrated SBAS-InSAR and BP-EnKF approach", Elsevier, vol. 665, 04.2024. 14. Chen, Z-S., K-D. Chen, Y-Q. Xu, W. Pedrycz, and M. J. Skibniewski, "Multiobjective optimization-based decision support for building digital twin maturity measurement", Advanced Engineering Informatics, vol. 59, 01/2024. 15. Chen, Z-S., Z-R. Wang, M. Deveci, W. Ding, W. Pedrycz, and M. J. Skibniewski, "Optimization-based probabilistic decision support for assessing building information modelling (BIM) maturity considering multiple objectives", Information Fusion, vol. 102, 02/2024. 16. Chen, Z-S., C-Z. Liang, Y-Q. Xu, W. Pedrycz, and M. J. Skibniewski, "Dynamic collective opinion generation framework for digital transformation barrier analysis in the construction industry", Information Fusion, vol. 103, 03/2024. 2023 17. Wójcik, B., M. Żarski, K. Książek, J. Miszczak, and M. J. Skibniewski, "A deep learning method for hard-hat-wearing detection based on head center localization", Bulletin of the Polish Academy of Sciences Technical Sciences, vol. 71 (EA), issue 6, 10/2023. 18. Wu, X., Y. Cao, W. Liu, Y. He, G. Xu, Z-S. Chen, Y. Liu, and M. J. Skibniewski, "BIM-driven building greenness evaluation system: An integrated perspective drawn from model data and collective experts' judgments", Journal of Cleaner Production, vol. 406, 06/2023. 19. Liu, Y., X-J. Wang, Z-S. Chen, Y. Zhang, S. Zhao, M. Devici, LS. Jin, and M. J. Skibniewski, "Evaluating Digital Health Services Quality via Social Media", IEEE Transactions on Engineering Management, 01/08/2023. 20. Chen, Z-S., J. Zhou, C-Y. Zhu, Z-J. Wang, S-H. Xiong, R. M. ª Rodríguez, L. Martinez, and M. J. Skibniewski, "Prioritizing real estate enterprises based on credit risk assessment: an integrated multi-criteria group decision support framework", Financial Innovation, vol. 9, 12/2023. 21. Chen, Z-S., J-Y. Lu, J-T. Wen, X. Wang, M. Deveci, and M. J. Skibniewski, "BIM-enabled decision optimization analysis for architectural glass material selection considering sustainability", Information Sciences, vol. 647, 11/2023. 22. Cong, X., Z. Qi, S. Wang, P. Su, L. Wang, J. Šaparauskas, J. Górecki, and M. J. Skibniewski, "Ecological Welfare Performance Evaluation and Spatial–Temporal Difference Evolution of Blue Economic Zones: A Case Study of the Blue Economic Zone of Shandong Peninsula", Land, vol. 12 (10), 10/2023. 23. Wang, Z-J., Z-S. Chen, Q. Su, L. Xiao, K. Govindan, and M. J. Skibniewski, "Blockchain adoption in sustainable supply chains for Industry 5.0: A multistakeholder perspective", Journal of Innovation and Knowledge, vol. 8(4), 12/2023. 24. Cong, X., P. Su, L. Wang, S. Wang, Z. Qi, J. Šaparauskas, J. Górecki, and M. J. Skibniewski, "Measuring the Construction Efficiency of Zero-Waste City Clusters Based on an Undesirable Super-Efficiency Model and Kernel Density Estimation Method", Systems, vol. 11(9), 10/2023. 25. Xiao, L., Z-S. Chen, R. Hou, A. Mardani, and M. J. Skibniewski, "Greenness-based subsidy and dual credit policy to promote new energy vehicles considering consumers' low-carbon awareness", Computers and Industrial Engineering, vol. 185, 11/2023. Pages123następna ›ostatnia »
