Ariadna Canari

ITS Inter- and Transdisciplinary Sessions

The 2024 Outstanding Student and PhD candidate Presentation (OSPP) Award is awarded to Ariadna Canari for the poster/PICO entitled:

Revealing Machine Learning's potential for morphotectonic analysis of marine faults: Application to the North-South faults in the Alboran Sea (Westernmost Mediterranean) (Canari, A.; Pousse-Beltran, L.; Giffard-Roisin, S.; Perea, H.; Martínez-Loriente, S.)

Click here to download the poster/PICO file.

Ariadna Canari is a Ph.D. student at the Institut de Ciencies del Mar (ICM) of Spain, which is part of the Consejo Superior de Investigaciones Científicas (CSIC). Her research, under the supervision of Dr. Hector Perea and Dr. Sara Martínez-Loriente, aims to characterize the North-South fault system in the Alboran Sea, located in the westernmost Mediterranean Sea, using high-resolution data sets. During her international research stay at the Institut des Sciences de la Terre (ISTerre) in Grenoble (France), she adapted a deep learning algorithm (Scrap-Learn), originally developed by her supervisors Dr. Léa Pousse-Beltran and Dr. Sophie Giffard-Roisin for onshore areas, in order to apply it for the first time to faults affected by oceanic processes. This innovative algorithm accurately calculates the cumulative vertical heigth of complex marine fault scarps, allowing for a more comprehensive morphotectonic analysis. At the EGU General Assembly 2024, she presented the algorithm and the promising preliminary results of her work, thereby illustrating the potential of deep learning to advance marine geoscience research.