Projects
Selected technical projects in hydrology, GIS, and environmental engineering.
Princeton Campus Stormwater Digital Twin
EPA SWMM • Python
Developed a calibrated stormwater model of a campus drainage network to evaluate runoff behavior and the performance of green infrastructure.
- Built and calibrated EPA SWMM models
- Processed rainfall and flow sensor data with Python
- Evaluated BMP and LID performance
- Produced visualizations for hydrologic analysis
Tashkent Urban Flood Susceptibility Mapping
Machine Learning • GIS
Created a flood susceptibility model using machine learning and geospatial datasets to identify areas with elevated urban flood risk.
- Combined DEM, rainfall, and land-use datasets
- Trained Random Forest classification models
- Generated flood susceptibility maps in QGIS
- Evaluated model performance using validation metrics
Agricultural Flood Mitigation Assessment
HEC-HMS • HEC-RAS
Assessed the flood mitigation potential of agricultural landscapes through watershed hydrologic and hydraulic modeling.
- Built watershed models in HEC-HMS
- Simulated flood routing with HEC-RAS
- Processed spatial datasets using QGIS
- Compared mitigation scenarios across watersheds
Agricultural Disaster Resilience Framework
Research • Disaster Risk Reduction
Analyzed agricultural disaster resilience strategies to understand how watershed management can strengthen flood resilience.
- Compared resilience approaches from Germany and Japan
- Reviewed disaster risk reduction frameworks
- Synthesized engineering and policy literature
- Connected hydrologic modeling with resilience planning