Mahshid Khazaeiathar

Mahshid Khazaeiathar is a PhD candidate at TU Darmstadt in the Department of Engineering Hydrology and Water Management (ihwb) since 2022 and a researcher within the emergenCITY team. Her research focuses on machine learning, data analysis, statistical modeling, time series forecasting, and hybrid modeling approaches in hydrology. Within emergenCITY, she is involved in the “Smart Flood and Low Flow Warning System” subproject, which aims to develop an advanced environmental monitoring and warning system. This system leverages real-time data and artificial intelligence to provide early warnings of flooding. Her work contributes to strengthening urban resilience by improving the prediction and management of hydrological extremes.

1-Machine learning in hydrology

2-Time series analysis and forecasting

3-Hybrid modeling approaches (e.g., ARIMA-iGARCH, Wavelet-LSTM)

4-Statistical modeling of hydrological extremes

5-Early warning systems for flood and low-flow events