research
The Enrico Fermi Research Center - CREF promotes original and high-impact lines of research, based on physical methods, but with a strong interdisciplinary character and in relation to the main problems of the modern knowledge society.
Complexity
Applied Physics
Fundamental Physics
Museum and History of Physics
People
third mission
The CREF was born with a dual soul: a research centre and a historical museum. Its aim is to preserve and disseminate the memory of Enrico Fermi and to promote the dissemination and communication of scientific culture.
news
Publications, news, press review. For interviews, filming, and press contacts, please write to comunicazione@cref.it
The Enrico Fermi Research Center (CREF) hosted the XX General Meeting of the FOOT experiment from June...
Research staff
Claudia Scatigno
- Position: Researcher
- *Physics for Cultural Heritage | ** Spectroscopic Data Analyst using Machine and Deep Learning Techniques
Since April 2023, I have been a Researcher at the Museo Storico della Fisica e Centro di Ricerca Enrico Fermi (CREF, Italy). I am an experimental physicist and environmental chemist working within the research line Physics for Cultural Heritage, focused on spectroscopic techniques and data fusion approaches integrated with machine learning. My research addresses the characterization of complex materials through multi-technique strategies and data-driven models, with emphasis on scalable and interoperable frameworks.
Since October 2025, I have led a research project, Space Science & Artificial Intelligence Laboratory, on the development of modular AI-based pipelines for multi-sensor satellite data fusion (PRISMA, COSMO-SkyMed, Sentinel, thermal), aimed at extracting environmental indicators for precision agriculture, risk and emergency management, and the Green Deal and SDGs frameworks. Key outcomes include ML/DL models for change detection (time series analysis), water stress, urban heat islands (UHI), and a QGIS plugin (“Green Change Detector”) that estimates NDVI changes using Random Forest and U‑net ONNX on Sentinel‑2 data. The project has been validated through ASI initiatives and aims to establish an academic spin‑off.
In the Food Science domain, she is developing spectroscopic pipelines and workflows for the extraction of spectral benchmarks and dynamic bioaccumulation studies, combining advanced spectroscopy with machine learning.
From 2019 to 2023, I have been a postdoctoral researcher at CREF (CREF–NAST UTOV–UCL), focusing on advanced spectroscopic characterization and on the integration of spectroscopic (XRF, FTIR, Raman), diffraction (XRD), and imaging (X-ray tomography) techniques, neutron spectroscopy, combined with machine learning and datasets from large-scale research infrastructures.
Between 2018 and 2019, I was a postdoctoral researcher at CNR, contributing to neutron vibrational spectroscopy within the European Spallation Source programme, including campaigns at ISIS (UK).
In 2017–2018, I held postdoctoral positions at the University of Rome Tor Vergata (NAST), focusing on neutron and gamma spectroscopy.
During 2017–2019, I served as PI/co‑PI on over 10 experiments at European neutron facilities, pioneering the application of AI algorithms to neutron techniques and developing strong expertise in experimental design and advanced data analysis.
I am the author of more than 45 scientific publications, a reviewer for over ten international journals, a Guest Editor for Crystals, Applied Sciences, and Polymers, a Topic Editor for Frontiers in Materials, a member of the Topical Advisory Panel of Applied Sciences – Computing and Artificial Intelligence, and a scientific reviewer for the Australian Centre for Neutron Scattering since 2024.
