Smart and Sustainable Construction through AI
My research explores the transformative potential of Construction 4.0 technologies in shaping safer, smarter, and more sustainable built environments. With over 26 years of academic and industry experience, I focus on integrating artificial intelligence (AI), Building Information Modeling (BIM), the Internet of Things (IoT), and immersive technologies (AR/VR/MR) into construction processes, education, and safety systems.
Current research initiatives include the development of smart helmet systems for real-time safety monitoring, AI-driven hazard detection frameworks, and BIM-integrated digital twins for predictive maintenance and lifecycle management. These projects are supported by over $1.8 million in competitive funding from agencies such as the National Science Foundation (NSF), institutional research programs, and industry collaborators.
I also explore AI’s role in construction workforce training, safety culture analytics, and decision support systems. By bridging human-centered design with intelligent automation, my research aims to enhance construction site resilience, reduce incident rates, and support ethical AI integration in the built environment. Outcomes are disseminated through peer-reviewed journals, conferences, and collaborative workshops to engage both academia and practice.