Yutao Fan
Ph.D., NJUHML Group
School of Atmospheric Sciences, Nanjing University
Yutao Fan is a direct-entry Ph.D. student at the School of Atmospheric Sciences, Nanjing University, after completing his undergraduate study there in 2024.
Research Interests
Deep-learning-based precipitation diagnosis, interpretable machine learning, and predictability.
Awards
- First Prize, 19th Challenge Cup Special Competition “Open Competition for Top Challenges” (2024)
Selected Work
- Co-author of a university-level outstanding thesis team project on spatiotemporal downscaling of numerical model products with deep learning and interpretability
- Co-inventor of patent applications on KAN-based millimeter-wave cloud radar echo identification and UNet-based PPI radar echo filtering