Scholar
Seongjin Choi (최성진)
Google Scholar ID: tyLWFk4AAAAJ
University of Minnesota, Twin Cities
Citations & Impact
Citations
604
H-index
11
i10-index
14
Publications
20
Co-authors
0
Resume
Academic Achievements
- Recent publications include: 'A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Research' in Transportation Research Part C; 'Probabilistic Traffic Forecasting with Dynamic Regression' in Transportation Science; 'Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting' in Transportation Science.
Research Experience
- Conducted research at AIxMobility Lab and Smart Transportation Lab.
Education
- Received Ph.D. from the Department of Civil and Environmental Engineering at Korea Advanced Institute of Science and Technology, supervised by Professor Hwasoo Yeo; completed Bachelor's and Master's degrees from the same department and institute; was a Postdoctoral Researcher in the Department of Civil Engineering at McGill University in Canada, with Professor Lijun Sun.
Background
- I'm an Assistant Professor in the Department of Civil, Environmental, and Geo-Engineering at the University of Minnesota, Twin Cities. My research interests are broad and interdisciplinary, encompassing Urban Mobility Data Analytics, Spatiotemporal Data Modeling, Deep Learning & Artificial Intelligence, and Connected Automated Vehicles (CAV) & 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.
Miscellany
- Looking for 1-2 PhD students (and/or a Postdoc) for 2025 Spring/Fall who are excited about machine learning for urban transportation and mobility data.