Our research focuses on Transportation Research with Data Science, which involves investigating transportation systems and information and communication technology using theoretical and data-driven approaches to achieve a better society. We are particularly interested in emerging technologies such as automated driving, ridesharing, and connected vehicles. Our research topics include developing data-driven estimation methods for the state of transportation systems, building models to understand the behavior of these systems, and implementing control measures to optimize them for society.

Our educational policy aims to equip students with the necessary skills to understand (or create) mathematical models that abstract real-world phenomena, solve or compute such models, perform statistical analysis of data, develop computer programs, and write logically. We place emphasis on developing a solid understanding of principles and their application to the expression and resolution of real problems.

Dear international students: if you are interested in applying to our lab for the graduate school admission exam, please read this application instruction and contact Prof. Seo accordingly.