dr. X. Yin (Xianfei)

Assistant Professor

About Me

My research focused on the improvement of civil infrastructure maintenance management, smart infrastructure construction, smart city development, and information integration/visualization for buildings and construction process (such as Building Information Modelling), drawing upon knowledge in the domains of artificial intelligence, advanced data analytics, simulation modelling, decision support system and construction project management. 


Networks (Circuits)
Neural Networks


Yuan, M., Li, Z., Li, X., Luo, X. , Yin, X., & Cai, J. (2021). Proposing a multifaceted model for adopting prefabricated construction technology in the construction industry. Engineering, Construction and Architectural Management, 28. https://doi.org/10.1108/ECAM-07-2021-0613
Yin, X., Chen, Y., Bouferguene, A., Zaman, H., Al-Hussein, M., & Kurach, L. (2020). A deep learning-based framework for an automated defect detection system for sewer pipes. Automation in construction, 109, [102967]. https://doi.org/10.1016/j.autcon.2019.102967
Yin, X., Chen, Y., Bouferguene, A., Zaman, H., Al-Hussein, M., & Russell, R. (2020). Data-Driven Framework for Modeling Productivity of Closed-Circuit Television Recording Process for Sewer Pipes. Journal of construction engineering and management, 146(8), [04020093]. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001885
Yin, X., Chen, Y., Bouferguene, A., & Al-Hussein, M. (2020). Data-driven bi-level sewer pipe deterioration model: Design and analysis. Automation in construction, 116, [103181]. https://doi.org/10.1016/j.autcon.2020.103181
Chen, Y., Bouferguene, A., Shen, Y. , Yin, X., & Al-Hussein, M. (2020). Bilevel Decision-Support Model for Bus-Route Optimization and Accessibility Improvement for Seniors. Journal of computing in civil engineering, 34(2), [04019057]. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000875
Yin, X., Liu, H., Chen, Y., Wang, Y., & Al-Hussein, M. (2020). A BIM-based framework for operation and maintenance of utility tunnels. Tunnelling and underground space technology, 97, [103252]. https://doi.org/10.1016/j.tust.2019.103252
Yin, X., Bouferguene, A., & Al-Hussein, M. (2020). Data-Driven Sewer Pipe Data Random Generation and Validation. Journal of construction engineering and management, 146(12), [04020131]. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001937

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University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands