Skip to main content

Peer Reviewed Publications

Title Year Description Download File

Smart Construction Scheduling Monitoring Using YOLOv3-based Activity Detection and Classification


Appears in Journal of Information Technology in Construction
Increasing efficiency and adhering to a schedule are prominent issues faced by many construction projects. This research aims to analyze and compare the efficiency and accuracy of different computer-vision based activity recognition algorithms that are used on construction sites. The authors propose a method which involves the use of YOLOv3 to perform activity recognition on construction sites, and compare the accuracy of this method to existing algorithms.




Semantic Rule-Based Construction Procedural Information Extraction to Guide Jobsite Sensing and Monitoring






Appears in Journal of Computing in Civil Engineering
To reduce manual efforts in collecting information from construction procedural documents, selecting appropriate sensing techniques to collect data on the jobsite, and giving in-time feedback for progress monitoring and compliance checking, the authors propose a semantic rule-based information extraction method to extract construction execution steps from construction procedural documents automatically. In addition, they develop a construction procedure and data collection  ontology to classify construction site information and provide guidance on selecting sensing techniques for collecting jobsite data based on the extracted information, and propose a construction procedural data integration (CPDI) framework.

Prevention through Design (PtD): Current State of Implementation in the Design Industry


Conference paper that details a study that aimed to identify knowledge, perceptions, and implementation patterns of PtD in the design industry. ConstructionSafety_Publication_Prevention_through_Design.pdf