RESEARCH INTEREST

• water_drop Physically-based watershed modeling and rainfall–runoff processes
• query_stats Data-driven hydrological forecasting and machine learning applications
• flood Flood risk assessment and extreme event analysis
• eco Land–atmosphere interactions and ecohydrology
• satellite_alt Remote sensing integration for hydrological monitoring
• memory High-performance computing for large-scale simulations
• public Climate change impacts on water resources

VISION

To become a leading research and innovation hub in computational hydrology, advancing water science through physics-based modeling, data-driven intelligence, and high-performance computing to improve water security, resilience to climate extremes, and sustainable watershed management.

MISION

To advance the science and application of hydrology through innovative computational modeling, data analytics, and high-performance computing, generating reliable knowledge and predictive tools that support sustainable water management, climate resilience, and risk reduction.

CONTACT INFORMATION