About
Diego AROSIO is an Associate Professor at the Department of Chemical and Geological Sciences, University of Modena and Reggio Emilia. His academic focus is in Applied Geophysics (GEOS-04/B), where he conducts research and teaches courses related to geophysical investigations, seismic monitoring, and environmental applications of geophysical methods.
Dr. AROSIO teaches several advanced courses including:
- In situ Geognostic and Geophysical Investigations for the Master's Degree in Geosciences, Georisks and Georesources
- Seismic Sources and Microzonation for the Master's Degree in Geosciences, Georisks and Georesources
- Geophysics with elements of seismology for the Degree Course in Geological Sciences
His research interests span multiple areas of applied geophysics:
- Geophysical monitoring of landfills and waste containment systems
- Ground Penetrating Radar applications for structural assessment and cultural heritage conservation
- Seismic and microseismic monitoring of unstable rock slopes and landslides
- Development and validation of novel geophysical instrumentation and methodologies
- Application of optical fiber sensors for geohazard monitoring
His recent research output shows consistent trends toward developing and validating geophysical methods for environmental monitoring applications, particularly in landfill integrity assessment, landslide monitoring, and cultural heritage preservation. He frequently employs mixed-method approaches combining laboratory testing, field validation, and numerical modeling to advance geophysical techniques.
Dr. AROSIO collaborates extensively with researchers across multiple institutions and disciplines, as evidenced by his publication record which includes collaborations with experts in hydrogeology, structural engineering, and environmental science.
His laboratory and field research focuses on:
- Development of monitoring protocols for landfill integrity using geoelectrical methods
- Application of Ground Penetrating Radar for quality control in marble conservation
- Microseismic monitoring networks for rock slope stability assessment
- Optical fiber sensor applications for early detection of landslide precursors
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