Introduction:
I am a PhD candidate at the University of Bologna. My research focuses on large-sample
hydrology, leveraging the potential of data from thousands of catchments around the globe as
inputs for rainfall-runoff models. I have a strong background in data analysis and numerical
computing, and I am passionate about applying these skills to advance our understanding of
hydrological processes. My recent work also involves estimating potential evaporation from
meteorological drivers, investigating the impact of different data sources and methods.
Education:
- 2024- : PhD Candidate, EIT4SEMM - Engineering and Information Technology for Structural
and Environmental Monitoring and Management, University of Bologna, Bologna, Italy.
Project: Use of traditional and machine learning regionalization methods to predict the streamflow in ungauged basins at global scale with large-sample hydrological datasets.
Supervisor: Prof. Elena Toth
Co-supervisor: Mattia Neri
- 2021–2024: Master Degree in Civil Engineering, Water curriculum, University of Bologna, Bologna, Italy.
Thesis title: Analysis of the large-sample hydrological dataset Caravan and its performance in rainfall-runoff modelling.
Supervisor: Prof. Elena Toth
Co-supervisor: Mattia Neri
- 2018–2021: Bachelor Degree in Civil and Environmental Engineering, University of Ferrara, Ferrara, Italy.
Experience abroad
- 2023: Visiting master student, University of Zurich, Zurich, Switzerland.
Preparation for the final thesis abroad, host supervisor: Prof. Dr. Jan Seibert
Publications
https://www.unibo.it/sitoweb/giovanni.selleri4/publications
