▶ 학력

2022 한양대학교 융합기계공학과 졸업(공학박사)

2016 한양대학교 기계공학부 졸업(공학사)

▶ 경력

2024.04 – 현재 : 한국교통대학교 조교수

2022.11 – 2024.03 : Argonne National Laboratory 박사후연구원

2022.03 – 2022.10 : 한양대학교 기계공학부 박사후연구원

▶ 연구 업적

[대표 학술논문]

Seo, J., Lim, Y., Han, J.& Park, S. (2023). Machine learning-based estimation of gaseous and particulate emissions using internally observable vehicle operating parameters. Urban Climate, 52, 101734.

Seo, J., & Park, S. (2023). Developing an official program to calculate heavy-duty vehicles CO2 emissions in Korea. Transportation Research Part D: Transport and Environment, 120, 103774.

Seo, J., & Park, S. (2023). Optimizing model parameters of artificial neural networks to predict vehicle emissions. Atmospheric Environment, 294, 119508.

Seo, J., Yun, B., Kim, J., Shin, M., & Park, S. (2022). Development of a cold-start emission model for diesel vehicles using an artificial neural network trained with real-world driving data. Science of the Total Environment, 806, 151347.

Seo, J., Yun, B., Park, J., Park, J., Shin, M., & Park, S. (2021). Prediction of instantaneous real-world emissions from diesel light-duty vehicles based on an integrated artificial neural network and vehicle dynamics model. Science of the Total Environment, 786, 147359. 

Seo, J., Park, J., Park, J., & Park, S. (2021). Emission factor development for light-duty vehicles based on real-world emissions using emission map-based simulation. Environmental Pollution, 270, 116081.

Seo, J., Kwon, S., & Park, S. (2020). Greenhouse Gas Emissions from Heavy-duty Natural Gas Vehicles in Korea. Aerosol and Air Quality Research, 20(6), 1418-1428.

Seo, J., Kim, H., & Park, S. (2018). Estimation of CO2 emissions from heavy-duty vehicles in Korea and potential for reduction based on scenario analysis. Science of The Total Environment, 636, 1192-1201.