Simone Francesco Fornasari
The 2022 Outstanding Student and PhD candidate Presentation (OSPP) Award is awarded to Simone Francesco Fornasari for the poster/PICO entitled:
A machine-learning approach for the reconstruction of ground shaking fields in real-time (Fornasari, S. F.; Pazzi, V.; Costa, G.)
Click here to download the poster/PICO file.
Simone Francesco Fornasari is a second-year PhD student at the Department of Mathematics and Geosciences of the University of Trieste, Italy, supervised by Giovanni Costa. His PhD project focuses on real-time seismic monitoring, the development of new approaches to estimate ground motion parameters in existing workflows and their integration with existing workflows.
At EGU 2022, Simone presented a new data-driven algorithm, consisting of an ensemble of convolutional neural networks trained on a database of ground-shaking maps produced with traditional algorithms, that exploits the information from the station data only to provide estimates of the ground-shaking maps and their associated uncertainties in real-time.