Seongjin Choi

Accepting PhD Students

PhD projects

My research interests are broad and interdisciplinary, encompassing Urban Mobility Data Analytics, Spatiotemporal Data Modeling, Deep Learning and Artificial Intelligence, and Connected Automated Vehicles (CAV) and Cooperative-ITS. I am particularly driven by the desire to optimize urban mobility and contribute to the development of a sustainable and efficient urban transportation system. My work involves utilizing data analytics to draw valuable insights from urban mobility data and applying cutting-edge AI technologies in the field of transportation.

My research topics and interests are as follows:

Urban transportation and mobility data analytics
Spatiotemporal data modeling (forecasting, imputation)
Generative AI for transportation and mobility data
Modeling CAV, C-ITS using Reinforcement Learning
Other applications of machine learning and deep learning in the transportation domain