About Me
Qun Luo is currently pursuing studies at the Institute of Water Sciences, Beijing Normal University, China. With over 40 awards during their undergraduate and master’s studies, notable achievements include the Second Prize in the National Mathematics Competition for College Students and the Silverway Mining Scholarship. They have published several articles and obtained two utility model patents and one software copyright. Their primary research focuses on integrating AI with hydro-meteorology.
- Artificial Intelligence
- Hydrometeorology
- Machine Learning
- Hydrological Model
MEng Hydraulic Engineering
Beijing Normal University, China
BEng Groundwater Science and Engineering
China University of Geosciences, Beijing, China
My research combines hydrology with artificial intelligence (AI) to analyze runoff variability on the Qinghai-Tibet Plateau. I use advanced AI techniques, including convolutional and recurrent neural networks, for predicting satellite precipitation. Currently, I focus on developing large-scale hydrological models and enhancing environmental modeling efficiency through automated data processing and algorithm design.
I apply a range of AI methods to analyze and explain hydrological phenomena.
Please reach out to collaborate 😃