Yang-Jun Joo
Postdoctoral researcher,
University of Central Florida (UCF)
Research Profile
Yang-Jun Joo published several scientific articles relating to the application of transportation using machine learning and artificial intelligence in several prestigious journals. He aims to tackle various challenges in driving risk assessment, smart mobility, big data analytics, artificial intelligence, and machine learning.
Employment Experience
Postdoc at University of Central Florida
3/2024 - Current
Conducted research projects ordered by the US-FDOT and Tampa Hillsborough Transportation Planning Organization (Adviser: Dr. Mohamed Abdel-Aty)
Postdoc at Seoul National University
3/2022 - 2/2024 Gwanak Campus
Conducted research projects ordered by the Korea Expressway Corporation and the National Police Agency. (Adviser: Dr. Dong-kyu Kim)
Education
Ph.D. in Civil & environmental engineering
3/2018 - 2/2023 Seoul National University (Adviser: Dr. Dong-kyu Kim)
Bachelor in Civil & environmental engineering
3/2014 - 2/2018 Seoul National University
Selected
Publications
A generalized driving risk assessment on high-speed highways using field theory
Published in 2023 by Analytic Methods in Accident Research
YJ Joo, EJ Kim, DK Kim, PY Park
A data-driven Bayesian network for probabilistic crash risk assessment of individual driver with traffic violation and crash records
Published in 2022 by Accident Analysis & Prevention
YJ Joo, SY Kho, DK Kim, HC Park
Reliability-based assessment of potential risk for lane-changing maneuvers
Published in 2021 by Transportation Research Record
YJ Joo, HC Park, SY Kho, DK Kim
CV_Yang-Jun Joo (May 2024).pdf