Faculty
Basic Introduction:
Aoxing Zhang, PhD from Georgia Institute of Technology, USA, is a Research Assistant Professor at the Southern University of Science and Technology. His main research areas include artificial intelligence air quality forecasting, development of air quality numerical models, atmospheric aerosol radiative effects and climate feedback, and tropospheric ozone chemistry. He has published more than ten academic papers in domestic and international journals.
Professional Experience:
2020.06~2021.05 US Forest Service, Postdoctoral Fellow
2021.07~2023.07 Southern University of Science and Technology, Postdoctoral Fellow
2023.08~ Southern University of Science and Technology, Research Assistant Professor
Education:
2011.09~2015.07 B.Sc., Peking University, School of Physics
2012.09~2015.07 B.Sc., Peking University, Department of Psychology
2015.08~2020.05 Ph.D. Georgia Institute of Technology (USA), School of Earth and Atmospheric Sciences
Synergistic Activities:
1. Guest author for the popular science series "Youth Time." Writes popular science articles related to atmospheric environment and climate change simulation and observation.
2. Psychologist. Explores issues of personal growth, research anxiety, and emotional needs in family and intimate relationships from the perspective of psychodynamic theory.
Awards and Honors:
1. Star of Taiyi, SUSTech CCSE, 2023
2. Glen Cass Award, School of Earth and Atmospheric Sciences, Georgia Institute of Technology (2020)
3. Top Poster Award, American Association for Aerosol Research, International Aerosol Conference (2018)
Selected funded projects:
1. National Natural Science Foundation of China, Young Scientists Fund (ongoing project): Ozone Ensemble Forecasts and Ozone Predictability Studies Based on Deep Convolutional Neural Networks, 2024-01 to 2026-12, Principal Investigator.
2. Guangdong Provincial Fund for Basic and Applied Basic Research, Regional Joint Fund - Young Scientists Fund (ongoing, project number 2021A1515110748): Research on High Spatial and Temporal Resolution Emission Algorithms for Atmospheric Volatile Organic Compounds (VOCs) in the Guangdong-Hong Kong-Macao Greater Bay Area Based on Satellite Observation Inversion and Deep Learning Algorithms, 2021-10 to 2024-09, Principal Investigator.
3. Shenzhen Science and Innovation Commission - Discipline Layout/Key Project (ongoing): Study on the Trends of Atmospheric Composition in the Bay Area, 2022-10 to 2025-10, Participant.
Research Interests:
1. Air quality forecasts using Artificial Intelligence
2. Developments on coupled atmospheric chemistry numerical models
3. Radiative forcing and climate effects of aerosols
Published Works:
1. Zhang, A., Fu, T. M.*, Feng, X., Guo, J., Liu, C., Chen, J., ... & Lu, C. (2023). Deep Learning‐Based Ensemble Forecasts and Predictability Assessments for Surface Ozone Pollution. Geophysical Research Letters, 50(8), e2022GL102611. https://doi.org/10.1029/2022GL102611
2. Zhang, A., Wang, Y.*, & Zou, Y. (2023). Positive feedback to regional climate enhances African wildfires. iScience, 26, 108533. https://doi.org/10.1016/j.isci.2023.108533
3. Zhang, A., Liu, Y.*, Goodrick, S., & Williams, M. D. (2022). Duff burning from wildfires in a moist region: different impacts on PM 2.5 and ozone. Atmospheric Chemistry and Physics, 22(1), 597-624. https://doi.org/10.5194/acp-22-597-2022