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I’m Antonio Magherini, PhD candidate of River Morphodynamics at STREEM Lab of EPFL, in Switzerland.
My research project focuses on the two-dimensional characterization of river bedforms and the quantification of their contribution to sediment transport.
Besides lab data analysis, I expect to include some morphodynamic modelling with both traditional physics-based and innovative data-driven models.

I hold a MSc in Civil Engineering - Hydraulic Engineering track from TU Delft, in the Netherlands.
I am passionate about river morphology and morphodynamics, hydromorphological modelling, river engineering interventions, and flood risk and natural hazard mitigation.
With my work I aim to integrate these areas with emerging technologies, like machine- and deep-learning techniques as well as satellite imagery, to advance research and practical applications for fluvial systems.

I was previously a research assistant at the University of Liege, where I worked on numerical modelling of floating debris in rivers during floods.

During my graduate internship at Deltares I developed a deep-learning model for predicting the morphological evolution of braided sand-bed rivers using satellite images. My thesis report is available at TU Delft repository. The code repository is available here.
I also published and presented an abstract at EGU General Assembly 2025.

As teaching assistant at the Faculty of Civil Engineering and Geosciences of TU Delft I contributed to the development and review of the MUDE Textbook and the TeachBooks.
I also contributed to the creation and release of Facing Floods, a freely available serious game for simulating stakeholder participation in river engineering decision-making processes.

If you wish to contact me, please send an e-mail to [email protected] or [email protected].

You can also find me on LinkedIn, Google Scholar, and ResearchGate.
I'm looking forward to getting in touch with you! :)