My research focuses on maximizing the performance of people through technologies like wearables, robotics, and automation. Particularly, I apply signal processing techniques, computer vision, deep learning models, and large multi-modal models to better understand people performances in construction and built environments. My research is interdisciplinary, drawing from fields such as physiology, biomechanics, psychology, and behavioral science to promote safe and efficient construction and built environments.
SangHyun Lee
Robert B Harris Collegiate Professor of Civil and Environmental Engineering, College of Engineering
Professor of Civil and Environmental Engineering, College of Engineering
Data science for safe and efficient construction and built environments.
COntact
Methodologies
Artificial Intelligence / Computer Vision / Computing / Data Integration / Data Mining / Data Visualization / Graph-Based Methods / Machine Learning / Natural Language Processing / Networks
Applications
Behavioral Science / Complex Systems / Economics / Engineering / Finance and Business / Healthcare Research /