Mario Lloyd Virgilio Martina

Full professor of hydrology

Scuola Internazionale Superiore di Studi Avanzati

Italy

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About

Mario Lloyd Virgilio Martina is a Full Professor of Hydrology at Scuola Universitaria Superiore IUSS in Italy. His research focuses on various aspects of hydrology, including flood risk assessment, tsunami hazard approximation, and the impact of climate change on agriculture. Recent publications highlight his work on machine learning applications in natural hazard risk assessments and the resilience of complex systems in urban environments.

Articles (12)

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2025

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2025

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2025

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2023

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2023

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2021

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2021

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2021

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2020

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2020

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2020

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2020

Collaborators (4)

Xavier Romão

Assistant Professor

Universidade do Porto Faculdade de Engenharia

PORTUGAL

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Brunella Bonaccorso

Associate Professor

University of Messina

ITALY

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Jo De Waele

Full Professor

University of Bologna

ITALY

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Ettore Fagà

Chief Operating Officer - Earthquake Risk Senior Manager

ITALY

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Mario Lloyd Virgilio Martina

Research Interests

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Articles (12)

Exposure Modeling of Transmission Towers for Large-Scale Natural Hazard Risk Assessments Based on Deep-Learning Object Detection Models

Large-scale flood risk assessment in data-scarce areas: an application to Central Asia

Advancing nearshore and onshore tsunami hazard approximation with machine learning surrogates

Estimations of Crop Losses Due to Flood Using Multiple Sources of Information and Models: The Case Study of the Panaro River

Quantifying crop vulnerability to weather-related extreme events and climate change through vulnerability curves

Assessment of the Disaster Resilience of Complex Systems: The Case of the Flood Resilience of a Densely Populated City

Service Accessibility Risk (SAR) Assessment for Pluvial and Fluvial Floods in an Urban Context

The potential of machine learning for weather index insurance

Holocene evolution of halite caves in the Cordillera de la Sal (Central Atacama, Chile) in different climate conditions

Indirect Impact Assessment of Pluvial Flooding in Urban Areas Using a Graph-Based Approach: The Mexico City Case Study

The whole is greater than the sum of its parts: a holistic graph-based assessment approach for natural hazard risk of complex systems

A joint probabilistic index for objective drought identification: the case study of Haiti

Collaborators (4)

Xavier Romão

Brunella Bonaccorso

Jo De Waele

Ettore Fagà

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