Dr. Arianna Beatrice Malaguti | Volcano Monitoring | Young Scientist Award
Dr. Arianna Beatrice Malaguti, Istituto Nazionale di Geofisica e Vulcanologia, Italy
Arianna Beatrice Malaguti, born in Rome on May 23, 1993, is an accomplished researcher in the field of volcanology. Currently holding a research grant at the National Institute of Geophysics and Volcanology (INGV) in the Catania Section, her work focuses on utilizing geophysical techniques to study active volcanic areas.Arianna’s academic journey began with a Masterās degree in Geological Science and Technology from the University of Pisa, where she explored the dating of volcanic eruptions in Lipari and Vulcano using paleomagnetism. She then earned her Ph.D. in Research Methods in Science and Technology from the University of Urbino, presenting an experimental thesis on the evolution of Quaternary and active volcanoes.Her professional experience includes significant research positions at INGV, where she has been involved in analyzing data from the magnetic monitoring network of Etna and innovating acquisition and transmission systems. Currently, she works at the TechnoLab of INGV’s Catania Section, developing and implementing machine learning algorithms to monitor and describe volcanic dynamics and thermal anomalies using satellite data.
š Education & Training
- Ph.D. in Research Methods in Science and Technology from the University of Urbino (2019-2023)
- Master’s Degree in Geological Science and Technology from the University of Pisa (2016-2019)
- Various specialized courses, including cognitive computing and artificial intelligence, paleomagnetism applications, and UAS remote pilot certification.
š§Ŗ Research & Work Experience
- Research Fellowship (2024-2026) at INGV – Catania Section
- Previous grant holder analyzing magnetic monitoring data of Etna and innovating acquisition systems
- Developed algorithms using AI and machine learning for real-time monitoring of volcanic activities
š Key Research Activities
- Dating volcanic units using paleomagnetism
- Correlating pyroclastic flow temperatures
- Using unsupervised machine learning to analyze geophysical data
- Real-time detection of thermal anomalies with satellite data
š Professional Involvement
- Convener at multiple volcanology conferences
- Reviewer for Quaternary Geochronology
- Member of IAVCEI and AGU
š ļø Technical Skills
- Proficient in MATLAB, QGIS, ArcGisPRO, and other geophysical data processing tools
- Experienced in both 2D and 3D modeling and simulations
Quantitative Assessment of Volcanic Thermal Activity from Space Using an Isolation Forest Machine Learning Algorithm
Age of the Valle del Bove formation and chronology of the post-collapse flank eruptions, Etna volcano (Italy)
The contribution of palaeomagnetism, tephrochronology and radiocarbon dating to refine the last 1100Ā years of eruptive activity at Vulcano (Italy)
Chrono-stratigraphy of the youngest (last 1500āÆyears) rhyolitic eruptions of Lipari (Aeolian Islands, Southern Italy) and implications for distal tephra correlations
Constraining age and volume of lava flow invasions of the Alcantara valley, Etna volcano (Italy). New insights from paleomagnetic dating and 3D magnetic modeling