Leonardo Azevedo

Assistant Professor

Universidade de Lisboa Instituto Superior Técnico

Portugal

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About

Leonardo Azevedo is an Assistant Professor at the Universidade de Lisboa Instituto Superior Técnico, Portugal. His research focuses on geostatistical modeling, hydrogeophysics, and environmental technologies, as evidenced by his recent articles on topics such as electromagnetic data inversion and carbon capture technologies. He also investigates public health issues, including COVID-19 incidence and vaccine hesitancy, contributing to the understanding of spatiotemporal patterns in Portugal.

Articles (20)

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2025

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2024

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2020

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2020

Collaborators (9)

Manuel Castro Ribeiro

Universidade de Aveiro

PORTUGAL

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Tomasz Bujok

AGH University of Science and Technology

POLAND

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Gustavo Paneiro

Assistant Professor

Universidade de Lisboa Instituto Superior Técnico

PORTUGAL

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Andrea Zanini

Associate Professor

Università degli Studi di Pavia

ITALY

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Agata Mlonka-Mędrala

AGH University of Science and Technology

POLAND

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Niklas Linde

Professor of Environmental Geophysics

University of Lausanne

SWITZERLAND

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Amilcar Soares

University of Lisbon

PORTUGAL

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Łukasz Mika

AGH University of Science and Technology

POLAND

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Maria Joao Pereira

Full Professor

Universidade de Lisboa Instituto Superior Técnico

PORTUGAL

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Leonardo Azevedo

Research Interests

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Articles (20)

Geostatistical inversion of frequency-domain electromagnetic data for near-surface modeling

Assessment of the Use of Carbon Capture and Storage Technology to Reduce CO2 Emissions from a Natural Gas Combined Cycle Power Plant in a Polish Context

Deep generative networks for multivariate fullstack seismic data inversion using inverse autoregressive flows

Understanding spatiotemporal patterns of COVID-19 incidence in Portugal: A functional data analysis from August 2020 to March 2022

Coupled hydrogeophysical inversion through ensemble smoother with multiple data assimilation and convolutional neural network for contaminant plume reconstruction

Uncertainty Quantification in Geostatistical Modelling of Saltwater Intrusion at a Coastal Aquifer System

Stochastic Modeling of Thin Mud Drapes Inside Point Bar Reservoirs With ALLUVSIM‐GANSim

Pore Pressure Uncertainty Characterization Coupling Machine Learning and Geostatistical Modelling

Spatial Analysis of Determinants of COVID-19 Vaccine Hesitancy in Portugal

Missing Rainfall Daily Data: A Comparison Among Gap-Filling Approaches

Geostatistical Seismic Rock Physics AVA Inversion With Data-Driven Elastic Properties Update

Characterization of gas hydrate systems on the Hikurangi margin (New Zealand) through geostatistical seismic and petrophysical inversion

Geostatistical Seismic Inversion with Self-Updating of Local Probability Distributions

Geostatistical Seismic Inversion with Self-Updating of Local Probability Distributions

Direct Geostatistical Seismic Amplitude Versus Angle Inversion for Shale Rock Properties

U-net generative adversarial network for subsurface facies modeling

The impact of seismic inversion methodology on rock property prediction

Geostatistical COVID-19 infection risk maps for Portugal

Generative adversarial network as a stochastic subsurface model reconstruction

Stochastic perturbation optimization for discrete-continuous inverse problems

Collaborators (9)

Manuel Castro Ribeiro

Tomasz Bujok

Gustavo Paneiro

Andrea Zanini

Agata Mlonka-Mędrala

Niklas Linde

Amilcar Soares

Łukasz Mika

Maria Joao Pereira

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