Danial Golbaz
PhD Candidate
I am a PhD student in coastal and hydrologic modeling, with a background in civil and environmental engineering. My research focuses on compound flooding, nearshore wave dynamics, rainfall–runoff processes, and the interaction of surge, waves, tides, rainfall, and river discharge. I work with numerical models such as WRF-Hydro, FUNWAVE-TVD, SCHISM, and machine-learning surrogates to improve flood predictions. My goal is to connect physics-based modeling, data analysis, and practical coastal engineering applications for better assessment and decision-making.
Education
- MS Coastal Engineering, University of Tehran, 2021
Currently working on
- Coastal Groundwater and Flooding in Lewes
High-resolution groundwater modeling of tidal propagation and nuisance flooding beneath Lewes, Delaware.
- Machine-Learning Surrogates for Hydrologic Prediction
CNN–LSTM surrogate models that emulate WRF-Hydro streamflow to accelerate scenario testing and explainable hydrologic analysis.
- Skew Surge and Extreme Sea-Level Analysis
- WRF-Hydro Runoff Modeling
Simulating watershed runoff and streamflow in 14 domains to study rainfall–runoff response