Watershed Hydrology Lab

Advancing Water Sustainability Through Data, Modeling, and Innovation

01 / 15

Research Highlights

Exploring the intersection of hydrology, artificial intelligence, and sustainable agriculture through innovative modeling and field-based research.

[1]

Hydrologic Modeling

Watershed and landscape-scale analysis focusing on flow, runoff, and nutrient transport under various climate scenarios.

Explore Research

[2]

AI & Environmental Prediction

Utilizing machine learning and Earth observation integration for flood susceptibility mapping and groundwater vulnerability analysis.

Explore Research

[3]

Data-Driven Modeling

Integrating field data, geospatial datasets, and advanced simulation models to support sustainable agricultural systems.

Explore Research

[4]

Field-Based Research

Continuous, high-resolution environmental monitoring through integrated sensor networks and field-based decision support.

Explore Research

Join Our Research Team

We are seeking motivated graduate students and postdoctoral researchers passionate about watershed hydrology, AI modeling, and sustainable water management. Collaborate on cutting-edge research and make a real-world impact.

Contact Now