대학공과대학환경안전공학과
이재영Jae Young Lee
- 소속 환경안전공학과
- 연구실혜강관 722호
- 이메일 jaeylee@ajou.ac.kr
- 내선번호2404
관심분야
- 대기오염, 기후변화, 머신러닝, 온실가스 저감
- Air pollution, Climate change, Machine learning, Greenhouse gas reduction
학력
- 2013.04 Stanford Univ 박사
경력
▶ Major Work Experiences • Associate Professor, Ajou University, 2024.09 – present • Assistant Professor, Ajou University, 2020.09 – 2024.08 • Visiting Scholar, Swiss Tropical and Public Health Institute (Swiss TPH), 2019.05 • Assistant/Associate Research Professor, Seoul National University, 2015.08 – 2019.01 • Post-Doctoral Researcher, Korea Institute of Science and Technology, 2013.06 – 2015.07 • Research Assistant, Stanford University, 2008.06 – 2013.04
연구분야
Air pollution, Climate change, Machine learning, Greenhouse gas reduction
기타
- 2024 아주대학교 연구우수교수상 (2025.05) - 2024 아주대학교 공과대학 교육우수상 (2025.02) - 2023 아주대학교 연구우수교수상 (2024.05) - 2022 아주대학교 연구우수교수상 (2023.05) - 2021 아주대학교 연구우수교수상 (2022.05) - 2021 아주대학교 공과대학 교육우수상 (2022.02)
대표논문
- [논문] 황혜민(제1), Chang Hyeok Kim, Jong Bum Kim, Jong-Sung Park, Sechan Park, 이재영*, Augmentation of PM1.0 Measurements Based on Machine Learning Model and Environmental Factors, Journal of Environmental Sciences, pp. 1-11 (06월, 2024)
- [논문] 황혜민(제1), 신승아, 유채림, 이주은, Jong-Sung Park, Su Hyun Shin, 이재영*, Vertical Profiles of PM2.5 and O3 Measured Using an UnmannedAerial Vehicle (UAV) and Their Relationships with Synoptic- andLocal-Scale Air Movements, Remote Sensing, pp. 1-12 (04월, 2024)
- [논문] 황혜민(제1), 박해심, 장재혁, Eunyoung Lee, 이재영*, Prediction of the number of asthma patientsusing environmental factors based on deeplearning algorithms, RESPIRATORY RESEARCH, pp. 1-9 (12월, 2023)
연구활동
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- [논문] 고찬주(제1), 문소은(제1), 이재영*, Secondary Organic Aerosol Formation through Photochemical Oxidation of NO and SO2 in an Indoor Smog Chamber, JOURNAL OF ENVIRONMENTAL ENGINEERING, pp. 1-7 (3월, 2025)
- [논문] Kyucheol Hwang(제1), 이재영, Sechan Park, Jong-Sung Park, Kwangyul Lee, Jungmin Park, Jeongho Kim, Jong bum Kim*, Understanding the physicochemical characteristics of PM2.5 under meteorological influence: A study in South Chungcheong Province, South Korea (2021–2022), Atmospheric Pollution Research, pp. 1-38 (3월, 2025)
- [논문] 황혜민(제1), Chang Hyeok Kim, Jong Bum Kim, Jong-Sung Park, Sechan Park, 이재영*, Augmentation of PM1.0 Measurements Based on Machine Learning Model and Environmental Factors, Journal of Environmental Sciences, pp. 1-11 (6월, 2024)