Bo Xiao

Contact

boxiao@mtu.edu
906-487-2804
Dillman 301G

Assistant Professor, Construction Management
Faculty, Civil and Environmental Engineering
Faculty, College of Business

PhD, Civil Engineering (Cross-disciplinary), University of Alberta
MASc, Civil Engineering, Concordia University
BEng, Civil Engineering, Xi’an University of Architecture and Technology

Biography

Dr. Bo Xiao's research interests include construction informatics, AI applications in construction, and construction robotics. He has investigated, co-investigated, and participated in several research projects supported by the Natural Sciences and Engineering Research Council of Canada and the Innovation and Technology Commission in Hong Kong. He has published over 20 journal articles and conference proceedings. Additionally, he has served as a reviewer for several reputable journals in the construction engineering field, such as Automation in Construction, ASCE Journal of Computing in Civil Engineering, ASCE Journal of Construction Engineering and Management, and Advanced Engineering Informatics. He received the 2022 Outstanding Reviewer Award from the ASCE Journal of Computing in Civil Engineering and the Third Place Award in the Inaugural Best Data Competition of ASCE DSA.

Links of Interest

Teaching Experience

Advanced technologies in construction (e.g., BIM)
Project management
Construction methods
Structural analysis

Research Interests

Construction informatics
Computer vision-based site monitoring
Construction robotics
Natural language processing in construction
Blockchain-enabled contract management
Cybersecurity in construction management

Recent Publications

Wang, Y., Xiao, B.*, Bouferguene, A., Al-Hussein, M., & Li, H. (2022). Vision-based method for semantic information extraction in construction by integrating deep learning object detection and image captioning. Advanced Engineering Informatics, 53, 101699.
Xiao, B., Wang, Y., & Kang, S. C. (2022). Deep Learning Image Captioning in Construction Management: A Feasibility Study. Journal of Construction Engineering and Management, 148(7), 04022049.
Xiao, B., Zhang, Y., Chen, Y., & Yin, X. (2021). A semi-supervised learning detection method for vision-based monitoring of construction sites by integrating teacher-student networks and data augmentation. Advanced Engineering Informatics, 50, 101372.
Xiao, B., Yin, X., & Kang, S. C. (2021). Vision-based method of automatically detecting construction video highlights by integrating machine tracking and CNN feature extraction. Automation in construction, 129, 103817.
Xiao, B., Lin, Q., & Chen, Y. (2021). A vision-based method for automatic tracking of construction machines at nighttime based on deep learning illumination enhancement. Automation in Construction, 127, 103721.
Xiao, B., & Kang, S. C. (2021). Development of an image data set of construction machines for deep learning object detection. Journal of Computing in Civil Engineering, 35(2), 05020005.