Professor, Head, And Research Associate

The petitioner proposes to continue state-of-the-art research to streamline daily construction workflows and help construction stakeholders use technology to mitigate risk. Her work focuses on the development and implementation of Building Information Modeling (BIM) as a basis for digital transformation in the architecture, engineering, and construction (AEC) industry.

The petitioner proposes to advance supply chain management strategies in the construction industry using advanced analytical and modeling techniques. His work focuses on optimizing supplier selection, material resource management, and waste disposal to improve project efficiency and sustainability. The endeavor aims to reduce emissions and costs while addressing labor shortages through improved organizational structures.

The petitioner proposes to continue her research on the automation of construction and facilities management processes to increase efficiency, reduce costs, and minimize environmental damage. Her work specifically focuses on occupational safety by analyzing factors such as age, experience, and fatigue to improve hazard recognition and risk perception in the construction industry.

The petitioner proposes to combine artificial intelligence and machine learning with experimental analysis to develop sustainable and cost-efficient construction materials. This work focuses on improving material performance, predicting structural behavior, and conducting risk- and reliability-based infrastructure life cycle assessments to modernize the built environment.