David Pardo

About David Pardo

David Pardo, With an exceptional h-index of 33 and a recent h-index of 20 (since 2020), a distinguished researcher at Universidad del País Vasco, specializes in the field of Finite Element Methods, Solvers of linear equations, Geophysics, Deep Learning, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach

Robust Variational Physics-Informed Neural Networks

Ensemble Deep Learning for enhanced seismic data reconstruction

Deep neural network for damage detection in Infante Dom Henrique bridge using multi-sensor data

Semi‐blind‐trace algorithm for self‐supervised attenuation of trace‐wise coherent noise

Adaptive Deep Fourier Residual method via overlapping domain decomposition

r-Adaptive deep learning method for solving partial differential equations

Multimodal variational autoencoder for inverse problems in geophysics: application to a 1-D magnetotelluric problem

David Pardo Information

University

Position

Ikerbasque (UPV/EHU) and BCAM

Citations(all)

5915

Citations(since 2020)

2598

Cited By

4123

hIndex(all)

33

hIndex(since 2020)

20

i10Index(all)

102

i10Index(since 2020)

55

Email

University Profile Page

Google Scholar

David Pardo Skills & Research Interests

Finite Element Methods

Solvers of linear equations

Geophysics

Deep Learning

Machine Learning

Top articles of David Pardo

Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach

arXiv preprint arXiv:2304.01722

2023/4/4

Robust Variational Physics-Informed Neural Networks

Computer Methods in Applied Mechanics and Engineering

2024/5/15

David Pardo
David Pardo

H-Index: 19

Ensemble Deep Learning for enhanced seismic data reconstruction

arXiv preprint arXiv:2404.02632

2024/4/3

Deep neural network for damage detection in Infante Dom Henrique bridge using multi-sensor data

Structural Health Monitoring

2024/3/22

David Pardo
David Pardo

H-Index: 19

Filipe Magalhães
Filipe Magalhães

H-Index: 25

Semi‐blind‐trace algorithm for self‐supervised attenuation of trace‐wise coherent noise

Geophysical Prospecting

2024/2/21

Adaptive Deep Fourier Residual method via overlapping domain decomposition

arXiv preprint arXiv:2401.04663

2024/1/9

David Pardo
David Pardo

H-Index: 19

r-Adaptive deep learning method for solving partial differential equations

Computers & Mathematics with Applications

2024/1/1

David Pardo
David Pardo

H-Index: 19

Multimodal variational autoencoder for inverse problems in geophysics: application to a 1-D magnetotelluric problem

Geophysical Journal International

2023/12

Oscar Rodriguez
Oscar Rodriguez

H-Index: 24

David Pardo
David Pardo

H-Index: 19

Fast parallel IGA-ADS solver for time-dependent Maxwell's equations

Computers & Mathematics with Applications

2023/12/1

Diagnosis of the health status of mooring systems for floating offshore wind turbines using autoencoders

Ocean Engineering

2023/11/1

Machine learning discovery of optimal quadrature rules for isogeometric analysis

Computer Methods in Applied Mechanics and Engineering

2023/11/1

David Pardo
David Pardo

H-Index: 19

Physics-guided deep-learning inversion method for the interpretation of noisy logging-while-drilling resistivity measurements

Geophysical Journal International

2023/10

David Pardo
David Pardo

H-Index: 19

Bridge damage identification under varying environmental and operational conditions combining Deep Learning and numerical simulations

Mechanical Systems and Signal Processing

2023/10/1

David Pardo
David Pardo

H-Index: 19

Filipe Magalhães
Filipe Magalhães

H-Index: 25

Neural network architecture optimization using automated machine learning for borehole resistivity measurements

Geophysical Journal International

2023/9

David Pardo
David Pardo

H-Index: 19

Semi-blind-trace algorithm for self-supervised attenuation of trace-wise coherent noise

arXiv e-prints

2023/8

Mohammad Mahdi Abedi
Mohammad Mahdi Abedi

H-Index: 6

David Pardo
David Pardo

H-Index: 19

Memory-Based Monte Carlo Integration for Solving Partial Differential Equations Using Neural Networks

2023/6/26

David Pardo
David Pardo

H-Index: 19

Multidirectional deep learning for data reconstruction

2023/6/5

Multi-blind-trace deep learning with a hybrid loss for attenuation of trice-wise noise

2023/6/5

mahdiabedi/semi-blind-trace-deep-learning

2023/5/21

Mohammad Mahdi Abedi
Mohammad Mahdi Abedi

H-Index: 6

David Pardo
David Pardo

H-Index: 19

Deep Fourier Residual method for solving time-harmonic Maxwell's equations

arXiv preprint arXiv:2305.09578

2023/5/16

David Pardo
David Pardo

H-Index: 19

Ignacio Muga
Ignacio Muga

H-Index: 10

See List of Professors in David Pardo University(Universidad del País Vasco)

Co-Authors

academic-engine