Highly dedicated and dynamic professional with a strong international academic background in interdisciplinary studies, backed by extensive fieldwork expertise. Skilled in harnessing cutting-edge tools like ML, DL, RS products, GIS, GEE, and advanced hydrological modeling to deliver precise flood and drought forecasts. Committed to continuous learning, staying ahead with emerging technologies, and adapting to evolving policies to effectively address the ever-changing landscape of flood and drought management.
Thesis title: Improving streamflow prediction for hydrological drought forecasting through a machine learning approach: a case study of Rhine River, the Netherlands.
The following journals are in the process of preparation
1. Dr. Schalk Jan van Andel
Associate Professor of Hydroinformatics
IHE Delft Institute for Water Education
E: s.vanandel@un-ihe.org
T: +31 15 2151803
W: www.un-ihe.org
2. Dr.Sileshi Yalew
IHE Delft Institute for Water Education
E: s.yalew@un-ihe.org
T:+31681199214