Human-Centered Intelligent Built Environments (HIBE) lab

The Human-centered Intelligent Built Environments (HIBE) Lab focuses on developing advanced data science and artificial intelligence (AI) frameworks to help the built environment adapt to complex societal challenges in energy, health, safety, disaster resilience, and housing affordability. By conceptualizing the built environment as a deeply intertwined Human-Cyber-Physical System (HCPS), our long-term vision is to transition infrastructure from static, standards-based solutions into an adaptive network of intelligent agents. Our interdisciplinary research spans three core aspects of HCPS, exploring a broad spectrum of applications within the Built Environment. 

For example, within the Human aspect, our projects include modeling occupant comfort in smart buildings and alternate housing, or advancing construction worker safety through wearable biosensors. In the Physical aspect, example topics range from data-driven energy modeling and Physics-Informed Machine Learning to the automated optimization of building envelopes. Finally, within the Cyber aspect, examples of our investigations include semantic data interoperability, automated knowledge extraction from engineering diagrams, and deep learning decision-support systems for construction management.