Babak Mohammadi PhD (Geobiosphere Science with specialization in Physical Geography and Ecosystem Science) (Lund University)

Dr. Babak Mohammadi is a researcher at the Swedish Meteorological and Hydrological Institute in Norrköping, Sweden, specializing in water resources, hydrological modeling, and climate extremes. He earned his PhD in Geobiosphere Science with a specialization in Physical Geography and Ecosystem Science from Lund University. His research integrates machine learning and remote sensing techniques to advance hydrological predictions and climate impact assessments. Dr. Mohammadi has authored over 63 indexed publications, with his most-cited work on modeling daily reference evapotranspiration using support vector regression coupled with whale optimization algorithm (2020) receiving 231 citations.

• Long-Short Term Memory Technique for Monthly Rainfall Prediction in Thale Sap Songkhla River Basin, Thailand
• Comparison of machine learning and process-based SWAT model in simulating streamflow in the Upper Indus Basin
• IHACRES, GR4J and MISD‑based multi conceptual‑machine learning approach for rainfall‑runoff modeling
• Prediction of Soil Cation Exchange Capacity Using Enhanced Machine Learning Approaches in the Southern Region of the Caspian Sea
• Application of Machine Learning and Remote Sensing in Hydrology