Jie Yang
University of Illinois Urbana-Champaign, IL, United States
- This delegate is presenting an abstract at this event.
Dr. Jie Yang is a postdoctoral scholar at the University of Illinois Urbana‑Champaign. His research bridges hydrology and artificial intelligence, integrating graph neural networks, knowledge‑guided machine learning, and satellite data to predict streamflow and nitrate loads from field to basin scales. Jie’s work advances sustainable water‑quality management in intensively farmed regions under a warming climate.
Presentations this author is a contributor to:
Unveiling the role of groundwater in nitrogen transport: insights from coupled surface-subsurface hydrological modeling in an agricultural watershed (#226)
2:15 PM
Yaji Wang
Intermittent, Ephemeral Systems and Surfacewater-Groundwater Interactions 2.0
A Knowledge-Guided Graph Machine Learning (KGML-Graph) approach for spatially distributed streamflow and nitrate load prediction in the Upper Mississippi River Basin (#21)
11:45 AM
Jie Yang
Special Session: AI in freshwater science: Transforming aquatic ecology and sustainability with artificial intelligence 1.0
SFS 2025