The Built environment is closely related to Sustainable Development Goals by United Nations. However, construction for the built environment is described as the least sustainable industry globally, consuming almost half of the non-renewable resources used. Humans' bounded rationality departs decision-making from a rational and sustainable manner. To address sustainability challenges, my research applies theories and methods from cognitive neuroscience, behavioral economics, and computational modeling to explore human-centered solutions in the design and construction of the built environment.
My research focuses on the intersections of engineering decision-making, neuroscience, and Artificial Intelligence (AI). I explore engineering decision-making and human-AI interaction by applying methods from cognitive neuroscience, data analytics, and behavioral economics. I conduct neuroimaging and behavioral human experiments to understand smart, creative, and sustainable design. My research mainly contributes to knowledge in three domains: (1) Nudge and sustainable design.(2) Human- AI interaction; (3) Design neurocognition;
Exploring AI-powered and neuro-informed behavioral interventions that shape preference for sustainable infrastructure and nudge more sustainable design decisions for the built environment.
Using computational modeling, behavioral and neuroimaging studies to investigate complex human behavior and cognition in human-AI interaction or human-robot interaction to enhance smart decision-making in design and construction.
Applying neuroimaging methods (e.g., fNIRS, EEG, and fMRI) to understtand how different design techniques, AI tools, and behavioral interventions influence design cognition and outcomes related to creativity and sustainability.
Collaborators
Dr. Tripp Shealy, Civil and Environment Engineering, Virginia Tech
Dr. Kosa Goucher-Lambert, Mechanical Engineering, UC Berkeley
Dr. John Gero, Computer Science and Architecture, University of North Carolina at Charlotte