2023 Best Paper Award for Bo Xiao

Bo Xiao, assistant professor in Construction Management, was recognized by the ASCE Journal of Construction Engineering and Management for his journal article entitled “Deep Learning Image Captioning in Construction Management: A Feasibility Study.”

From the Editor-in-Chief:

“The authors present their systematic approach to automating deep learning for image captioning in a construction management context. This article is compelling for several reasons. The topic is one that has the potential to provide substantial benefits for construction engineering and management. The authors have clearly explained an involved methodology that produced results that were validated by comparison of eight metrics. The conclusions are presented in a nuanced manner that includes the strong points and limitations of the methods studied and useful suggestions for future development. This paper was selected from a field of 187 technical papers, 25 case studies, 2 technical notes, and 18 state-of-the-art reviews that were published from July 2022 through June 2023 in the Journal of Construction Engineering and Management.”

“This article is compelling for several reasons. The topic is one that has the potential to provide substantial benefits for construction engineering and management.”

Editor-in-Chief, ASCE Journal of Construction Engineering and Management

Authors: Bo Xiao, Aff.M.ASCE https://orcid.org/0000-0003-0798-8018 eric.xiao@polyu.edu.hk, Yiheng Wang yiheng6@ualberta.ca, and Shih-Chung Kang sckang@ualberta.caAUTHOR AFFILIATIONS
Publication: Journal of Construction Engineering and Management
Volume 148, Issue 7
https://doi.org/10.1061/(ASCE)CO.1943-7862.0002297

Xiao’s research interests include construction informatics, AI applications in construction, and construction robotics.