Ciro Del Negro (0000-0001-5734-9025)

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Biography

I am Research Director at INGV in Catania since 2008. My research interests concern quantitative studies of volcanic hazards using a combination of satellite data, numerical modelling and probabilistic analysis. My main focus has been on the development of quantitative approaches to volcanic hazard modelling. Applied research includes the use of satellite remote sensing techniques for the monitoring of volcanic activity and numerical simulations of the spatial and temporal evolution of eruptive phenomena for hazard assessment and risk mitigation. I have been involved in numerous national and international projects aiming on volcanic hazards and the physics of volcanism. Since 2001, I am the coordinator of the Laboratory of Technologies for Volcanology (TechnoLab) established with the Department of Engineering of the Catania University for the scientific and technical training of young researchers working on volcanic hazard monitoring. I have published more than 120 scientific papers in ISI journals on various topics in geophysics and volcanology.

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Istituto Nazionale di Geofisica e Vulcanologia Sezione di Catania: Catania, Sicilia, IT

1988 to present | Research Director

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Ciro Del Negro

https://orcid.org/0000-0001-5734-9025

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Employment (1)

Istituto Nazionale di Geofisica e Vulcanologia Sezione di Catania: Catania, Sicilia, IT

Education and qualifications (1)

University of Naples: Naples, Campania, IT

Works (50 of 153)

Combining numerical CFD models and AI to enhance lava flow simulations

Spatiotemporal Tracking of the Volcanic Cloud Dispersion Using ConvLSTM Models and SEVIRI Imagery

AI-driven insights into the volcanic processes and dynamics of explosive episodes inferred by satellite-based SO2 estimates, ground-based gas measurements, and petrological data

A Remote Sensing Data Fusion algorithm for Near Real time monitoring of Volcanic Radiative Power

Generalizability of AI-based Emulators for CFD Lagrangian methods&#160;

How Machine Learning and Satellite Data Enhance Near-Real Time Detection of Volcanic Activity Worldwide

Joint use of machine learning and geostationary satellite data for volcanic ash cloud detection

Machine Learning Insights into the Last 400 Years of Etna Lateral Eruptions from Historical Volcanological Data

Advancing Volcanic Activity Monitoring: A Near-Real-Time Approach with Remote Sensing Data Fusion for Radiative Power Estimation

Quantitative Assessment of Volcanic Thermal Activity from Space Using an Isolation Forest Machine Learning Algorithm

Detection of Subtle Thermal Anomalies: Deep Learning Applied to the ASTER Global Volcano Dataset

Cascading Machine Learning to Monitor Volcanic Thermal Activity Using Orbital Infrared Data: From Detection to Quantitative Evaluation

A Deep Convolutional Neural Network for Detecting Volcanic Thermal Anomalies from Satellite Images

An Artificial Intelligence-based platform for volcanic hazard monitoring

Deep Learning for volcanic risk assessment

On Artificial Intelligence-based emulators of physical models to forecast the evolution of lava flows

A numerically robust, parallel-friendly variant of BiCGSTAB for the semi-implicit integration of the viscous term in Smoothed Particle Hydrodynamics

Characterization of Volcanic Cloud Components Using Machine Learning Techniques and SEVIRI Infrared Images

Data-Driven Random Forest Models for Detecting Volcanic Hot Spots in Sentinel-2 MSI Images

Assessing the elements at risk in volcanic areas by combining deep convolutional neural network and multispectral satellite images

Combined Use of Satellite Data and Machine Learning for Detecting, Measuring, and Monitoring Active Lava Flows at Etna Volcano

Automatic detection of volcanic thermal features using satellite observations

Detecting Volcanic Ash Plume Components from Space using Machine Learning Techniques

Classifying Major Explosions and Paroxysms at Stromboli Volcano (Italy) from Space

SPH model for the simulation of lava-buildings interactions

Lava flow hazard of the 2018 Etna eruption: What happened and what could happen

Machine learning classifiers for detecting and classifying major explosions and paroxysms at Stromboli volcano (Italy) using radar and optical satellite imagery

Combining Radar and Optical Satellite Imagery with Machine Learning to Map Lava Flows at Mount Etna and Fogo Island

Overflows and Pyroclastic Density Currents in March-April 2020 at Stromboli Volcano Detected by Remote Sensing and Seismic Monitoring Data

Living at the edge of an active volcano: Risk from lava flows on Mt. Etna

Analyzing the 2011 eruption of Nabro volcano using satellite remote sensing and numerical modeling of lava flows

Fast short-term lava flow hazard assessment with graph theory

Integrating tri-stereo Pleiades images with infrared satellite data to monitor volcanoes: the 2019 Stromboli eruption

Lava flow risk assessment on Mount Etna through hazard and exposure modelling

Machine learning approach for multi-perspective volcanic eruption recognition using thermal infrared images

Optimizing barrier placement for lava flow hazard and risk mitigation

The VEI 2 Christmas 2018 Etna Eruption: A small but intense eruptive event or the starting phase of a larger one?

Recognizing Eruptions of Mount Etna through Machine Learning Using Multiperspective Infrared Images

The VEI 2 Christmas 2018 Etna Eruption: A Small But Intense Eruptive Event or the Starting Phase of a Larger One?

Raman Spectroscopy from Laboratory and Proximal to Remote Sensing: A Tool for the Volcanological Sciences

How the variety of satellite remote sensing data over volcanoes can assist hazard monitoring efforts: The 2011 eruption of Nabro volcano

How the variety of satellite remote sensing data over remote volcanoes can assist hazard monitoring efforts

Improving cloud detection with imperfect satellite images using an artificial neural network approach

Changing Eruptive Styles at the South-East Crater of Mount Etna: Implications for Assessing Lava Flow Hazards

Mapping Recent Lava Flows at Mount Etna Using Multispectral Sentinel-2 Images and Machine Learning Techniques

Satellite-Based Reconstruction of the Volcanic Deposits during the December 2015 Etna Eruption

Smart Decision Support Systems for Volcanic Applications

Influence of topographic data uncertainties and model resolution on the numerical simulation of lava flows

Semi-implicit 3D SPH on GPU for lava flows

3D Lava flow mapping of the 17–25 May 2016 Etna eruption using tri-stereo optical satellite data

Peer review (7 reviews for 5 publications/grants)

Generalizability of AI-based Emulators for CFD Lagrangian methods