Luigi Lombardo

Luigi Lombardo is an Associate Professor in the Department of Applied Earth Sciences and affiliated with the Digital Society Institute. His research focuses on geohazards, particularly landslides, wildfires, and cascading disasters. He applies advanced geospatial analysis, machine learning, and remote sensing techniques to model environmental risks and improve disaster management.

Key research interests include landslide susceptibility modeling, earthquake-induced hazards, climate change impacts, and spatial-temporal data science. He develops innovative tools like the SZ-plugin for QGIS, enhancing geohazard analysis accessibility.

Recent work addresses post-seismic recovery dynamics, Arctic thaw slumps, and probabilistic landslide assessments across global regions (e.g., Colombia, Turkey, Italy). His studies emphasize interdisciplinary approaches to bridge geoscience and societal needs, contributing to UN Sustainable Development Goals related to climate action and disaster resilience.

Publications highlight methodological advancements such as physics-informed neural networks, functional regression for landslide prediction, and ensemble modeling for multi-hazard scenarios. He collaborates internationally to build open datasets like the Arctic Retrogressive Thaw Slump (ARTS) inventory.

Research trends show a focus on integrating AI with geophysical principles, improving early warning systems, and quantifying cascading risks from coupled natural-human systems. His work aims to inform policy decisions and enhance community resilience through actionable scientific insights.