Thanh Nam Doan, PhD
Dr. Doan got his doctoral degree from Singapore Management University in 2018 where he studied about the two new latent features of location named: neighborhood competition and area attractiveness. Prior to his study in Singapore, he got his Bachelor of Engineering in Computer Science from Ho Chi Minh City University of Technology in 2011. After his doctoral training, he spent one year as postdoctoral researcher in State University of New York, Albany honing his expertise in the characterization of deep learning for recommender systems and educational data mining.
Dr. Doan joins the University of Tennessee at Chattanooga from Aug 2019 under the supervision of Dr. Sartipi. In UTC, he focuses on working with transportation data and his goal is to apply big data techniques, data mining and machine learning toward more cost-effective public transportation as well as more efficient way to manage traffic lights. He is also working with other students to build an interpretable machine learning models which could help people to understand the underlying process without much mathematical knowledge.