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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. 

Expertise

Engineering & Materials Science
Defects
Drainage
Inspection
Networks (Circuits)
Pipe
Productivity
Sewers
Television

Publications

Recent
Xiao, B. , Chen, C. , & Yin, X. (2022). Recent advancements of robotics in construction. Automation in construction, 144, [104591]. https://doi.org/10.1016/j.autcon.2022.104591
Li, L., Luan, H. , Yin, X., Dou, Y., Yuan, M., & Li, Z. (2022). Understanding Sustainability in Off-Site Construction Management: State of the Art and Future Directions. Journal of construction engineering and management, 148(11), [03122008]. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002396
Karabij, M. , Yin, X., Bouferguene, A., & Al-Hussein, M. (2022). Image Processing–Based Framework for Determining Deterioration in Sewer Pipe Defects. Journal of Infrastructure Systems, 28(4). https://doi.org/10.1061/(ASCE)IS.1943-555X.0000713
Zhang, N., Wang, J., Al-Hussein, M. , & Yin, X. (2022). BIM-based automated design of drainage systems for panelized residential buildings. International journal of construction management. https://doi.org/10.1080/15623599.2022.2085853
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. https://doi.org/10.1108/ECAM-07-2021-0613

UT Research Information System

Google Scholar Link

Affiliated Study Programmes

Bachelor

Master

Courses Academic Year  2022/2023

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
 

Courses Academic Year  2021/2022

Contact Details

Visiting Address

University of Twente
Faculty of Engineering Technology
Horst Complex (building no. 20), room Z208
De Horst 2
7522LW  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Engineering Technology
Horst Complex  Z208
P.O. Box 217
7500 AE Enschede
The Netherlands