David Pardo, Ph.D.

Affiliations: 
2004 University of Texas at Austin, Austin, Texas, U.S.A. 
Area:
Electronics and Electrical Engineering, Electricity and Magnetism Physics
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"David Pardo"

Parents

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Leszek Demkowicz grad student 2004 UT Austin
 (Integration of HP-adaptivity with a two grid solver: Applications to electromagnetics.)
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Publications

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Shahriari M, Pardo D, Moser B, et al. (2020) A Deep Neural Network as Surrogate Model for Forward Simulation of Borehole Resistivity Measurements Procedia Manufacturing. 42: 235-238
Darrigrand V, Pardo D, Chaumont-Frelet T, et al. (2020) A painless automatic hp-adaptive strategy for elliptic problems Finite Elements in Analysis and Design. 178: 103424
Shahriari M, Pardo D. (2020) Borehole resistivity simulations of oil-water transition zones with a 1.5D numerical solver Computational Geosciences. 24: 1285-1299
Shahriari M, Pardo D, Picon A, et al. (2020) A deep learning approach to the inversion of borehole resistivity measurements Computational Geosciences. 24: 971-994
Siwik L, Wozniak M, Trujillo V, et al. (2019) Parallel Refined Isogeometric Analysis in 3D Ieee Transactions On Parallel and Distributed Systems. 30: 1134-1142
Puzyrev V, Pardo D, Calo V, et al. (2019) Recent advances on the inversion of deep directional borehole resistivity measurements Aseg Extended Abstracts. 2019: 1-3
Muñoz-Matute J, Pardo D, Calo VM, et al. (2019) Variational formulations for explicit Runge-Kutta Methods Finite Elements in Analysis and Design. 165: 77-93
Garcia D, Pardo D, Calo VM. (2019) Refined isogeometric analysis for fluid mechanics and electromagnetics Computer Methods in Applied Mechanics and Engineering. 356: 598-628
Chaumont-Frelet T, Shahriari M, Pardo D. (2019) Adjoint-based formulation for computing derivatives with respect to bed boundary positions in resistivity Geophysics Computational Geosciences. 23: 583-594
Muñoz‐Matute J, Pardo D, Calo VM, et al. (2019) Forward-in-Time Goal-Oriented Adaptivity International Journal For Numerical Methods in Engineering. 119: 490-505
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