Ruyi Yang, an undergraduate Architecture student at Tongji University, with a minor in AI and mathematics honor class. Her research primarily focuses on the intersection of urban data analysis, computer vision, deep learning and AI-driven solutions. She has led and contributed to several significant projects, including AI-enhanced facade redesign for historical buildings and low-carbon urban updates. Ruyi Yang's work has been recognized in leading computational design conferences like eCAADe and SIGraDi, as well as in (A&H) SCI Q1 journals. Ruyi was a visiting student at the MIT Senseable City Lab. Ruyi is passionate about creating AI/ML that bridge algorithms with innovation and impact, integrating her research into impactful real-world applications.
Urban
Human Behaviour/ Interaction
Fabrication