Simone Francesco Fornasari

PostDoc in seismology, SeisRaM group, University of Trieste.

I work on real-time seismic monitoring and earthquake hazard assessment: earthquake early warning at near-fault observatories (NITRO), harmonized ground-shaking maps across institutes and borders (CONCORDIA), Bayesian spectral decomposition and site-response estimation (Campi Flegrei, Trieste), and seismic-noise methods for landslide characterization.

CV

Education

2020–2024
PhD in Earth Sciences, Fluid Dynamics and Mathematics
University of Trieste, Dept. of Mathematics and Geosciences. Degree awarded 22 March 2024. Thesis: Development of machine learning approaches for real-time ground-shaking maps reconstruction. Advisor: Giovanni Costa. Co-advisor: Veronica Pazzi.
2017–2019
MSc in Geosciences
University of Trieste, Dept. of Mathematics and Geosciences. Thesis: Ground-shaking scenarios, site-effect and seismic-input estimation in an urban context. Advisor: Fabio Romanelli. Co-advisor: Franco Vaccari.
2013–2017
BSc in Physics
University of Trieste, Dept. of Physics. Thesis: Analysis and synthesis of lunar seismic signals. Advisor: Fabio Romanelli. Co-advisors: Franco Vaccari, Alessandro Vuan.

Positions

16 Nov 2023 – present
Postdoctoral Research Fellow (Assegno di Ricerca)
University of Trieste, Dept. of Mathematics, Computer Science and Geosciences. Machine-learning and Bayesian techniques applied to real-time analysis of accelerometric data for civil-protection purposes: ground-shaking maps, earthquake early warning, spectral decomposition, seismic-noise analysis, and landslide characterization.
May – Jul 2019
Curricular internship
University of Trieste. Synthetic seismogram computation for site-response evaluation.
Oct – Dec 2016
Curricular internship
OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale). Python code development for seismic event (re)location.

Research Projects

Jun 2025 – present
CONCORDIA — COoperative Network for COoRdinated Disaster Impact Assessment
Interreg VI-A Italy-Slovenia (2025–2027). Lead partner: University of Trieste. Developing a harmonized ground-shaking map.
Dec 2024 – present
TRANSFORM² — TowaRds AdvaNced multidiSciplinary Fault ObseRvatory systeMs²
Horizon Europe, HORIZON-INFRA-2024-DEV-01, GA 101188365 (2024–2027). Partner: University of Trieste. Assessing earthquake early warning applicability for the NITRO near-fault observatory.
Dec 2024 – Apr 2025
MEET — Monitoring Earth's Evolution and Tectonics
PNRR, Mission 4, Research Infrastructures, IR0000025. Partner: University of Trieste (PI: G. Costa). Developed the UniTS unit's dataset.

Training

Awards

Academic activities

Peer review: Geophysical Journal International, Natural Hazards and Earth System Sciences, International Journal of Geophysics.

Session convener

May 2026
EGU General Assembly 2026
Session SM8.3, "Assessment of Earthquake Related Hazards, Site Effects, and Microzonation". Vienna, Austria.
May 2025
EGU General Assembly 2025
Session SM8.1, "Assessment of Earthquake Related Hazards, Site Effects, and Microzonation". Vienna, Austria.
Apr 2024
EGU General Assembly 2024 (co-convener)
Session SM8.1, "Assessment of Earthquake Related Hazards, Site Effects, and Microzonation". Vienna, Austria.
Oct 2023
BeGEO 2023
Session "Seismology". University of Naples Federico II, Naples, Italy.

Publications

2026

2025

2024

2023

2022

Presentations

Invited oral presentations

Oral presentations

Posters

Outreach

Nov 2022 – present
Secondary-school lab: "How earthquakes happen and how to deal with seismic risk"
Trieste, Italy.
Sep 2026
Trieste Next science festival — stand "50 years after the Friuli earthquake: the University of Trieste's contribution to earthquake knowledge"
Trieste, Italy.
Sep 2023
Trieste Next science festival — stand "Geosciences and environmental sustainability"
Trieste, Italy.
Sep – Oct 2022
Exhibition "Terremoti d'Italia" (Earthquakes of Italy)
At Trieste Next and Barcolana 2022, Trieste, Italy.
Sep 2021
Trieste Next science festival — stand "Geological safety, earthquakes, seismic monitoring networks and shaking maps"
Trieste, Italy.
Oct 2021
NASA Space Apps Challenge 2021 — Team Carso
Landslide Tracker for the UK, a machine-learning concept for identifying hazardous landslide locations. Awarded for the Trieste location and shortlisted as a global nominee. Presentation · video