Haonan Yang is a Fellow of the Center for Buildings, Infrastructure and Public Space and enrolled in the Master’s Degree program for Construction Engineering & Management at the Fu Foundation School of Engineering and Applied Science of Columbia University. His undergraduate degree was a Bachelor of Civil Engineering with a concentration in Structural Engineering from University of Science & Technology, Beijing, conferred in June, 2019.
He has first intern experience in China Railway Engineering Cooperation and his second intern experience in Beijing Urban Construction Group. In both two intern experiences, he did construction management works, such as created a construction schedule collaboratively with the project manager and adjusted the estimated cost of the main structure of the subway excavation with the budgeter. He also has a solid background in Building Information Modeling (BIM), for instance, modeled a multiple function building, including architecture, structure, and MEP parts with Revit.
His research interests and experiences have centered on machine learning’s application in civil engineering and green building design based on BIM. At CBIPS, he is in the data visualization group, and his research topic will focus on predicting water quality parameters and detecting water quality anomaly based on machine learning.