Our research explores construction safety, specializing in injury prevention strategies, hazard identification, risk management, and decision-making using a variety of qualitative and quantitative data collection, data analysis, and data mining methods.
Our areas of focus include:
This research team explores injury-prevention strategies, hazard identification, risk management, and decision-making in the construction process. The group uses a variety of qualitative and quantitative data collection, data analysis, and data-mining methods. They hope that by empirically measuring construction workers' attention they can prevent injuries on the job site.
Infrastructure and Construction Management
This research area encompasses accelerated construction of infrastructure, lean and green construction, project management, public-private partnerships, smart infrastructure, sustainable development, life cycle analysis, and infrastructure asset management. Principal investigator: Sam Salem.
Construction Informatics and Simulation
The research area focuses on enhancing the overall performance of construction management through the integration of advanced data analytics, complex system simulation, and artificial intelligence. The research outcomes provide efficient and reliable decision support tools for practitioners in the architecture, engineering, and construction (AEC) industry. Principal investigator: Wenying Ji.