Georgios Blougouras

Georgios Blougouras is a Doctoral Researcher at the Department of Biogeochemical Integration (BGI) within the Max Planck Institute for Biogeochemistry in Jena, Germany, and an ELLIS PhD candidate associated with the International Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC) since August 2023.

His research centers on climate physics, eco-hydrology, and machine learning for earth system science, with a specific focus on developing deep hybrid learning algorithms to investigate water-vegetation interactions across spatiotemporal scales. He integrates knowledge-driven AI frameworks to address complex environmental challenges in hydrology and climatology.

Analysis of his recent publications reveals a consistent emphasis on applying explainable AI and neural networks to hydrological modeling, urban climatology, and geoscience process understanding. Key themes include large-sample hydrology, satellite-based urban park cooling effects, atmospheric driver identification, and thermal dynamics in Mediterranean urban environments during extreme events.

Blougouras is actively involved in the Project Group "Machine Learning for Hydrological and Earth Systems" at the Max Planck Institute, which advances AI-driven methodologies for earth system analysis and ecohydrological process modeling.