Uncertainty quantification in epidemiological models for the COVID-19 pandemic L Taghizadeh, A Karimi, C Heitzinger Computers in Biology and Medicine 125, 104011, 2020 | 43 | 2020 |
Optimal multilevel randomized quasi-Monte-Carlo method for the stochastic drift–diffusion-Poisson system A Khodadadian, L Taghizadeh, C Heitzinger Computer Methods in Applied Mechanics and Engineering 329, 480-497, 2018 | 20 | 2018 |
Bayesian inversion for electrical-impedance tomography in medical imaging using the nonlinear Poisson–Boltzmann equation L Taghizadeh, A Karimi, B Stadlbauer, WJ Weninger, E Kaniusas, ... Computer Methods in Applied Mechanics and Engineering 365, 112959, 2020 | 16 | 2020 |
The optimal multilevel Monte-Carlo approximation of the stochastic drift–diffusion-Poisson system L Taghizadeh, A Khodadadian, C Heitzinger Computer Methods in Applied Mechanics and Engineering 318, 739-761, 2017 | 16 | 2017 |
Three-dimensional optimal multi-level Monte–Carlo approximation of the stochastic drift–diffusion–Poisson system in nanoscale devices A Khodadadian, L Taghizadeh, C Heitzinger Journal of Computational Electronics 17, 76-89, 2018 | 15 | 2018 |
Optimal Bayesian experimental design for electrical impedance tomography in medical imaging A Karimi, L Taghizadeh, C Heitzinger Computer Methods in Applied Mechanics and Engineering 373, 113489, 2021 | 13 | 2021 |
Reliability of Poisson–Nernst–Planck anomalous models for impedance spectroscopy EK Lenzi, LR Evangelista, L Taghizadeh, D Pasterk, RS Zola, T Sandev, ... The Journal of Physical Chemistry B 123 (37), 7885-7892, 2019 | 13 | 2019 |
Bayesian inversion for a biofilm model including quorum sensing L Taghizadeh, A Karimi, E Presterl, C Heitzinger Computers in Biology and Medicine 117, 103582, 2020 | 9 | 2020 |
Bayesian estimation of physical and geometrical parameters for nanocapacitor array biosensors B Stadlbauer, A Cossettini, D Pasterk, P Scarbolo, L Taghizadeh, ... Journal of Computational Physics 397, 108874, 2019 | 9 | 2019 |
Determination of Micro-and nano-particle properties by multi-frequency Bayesian methods and applications to nanoelectrode array sensors A Cossettini, B Stadlbauer, L Taghizadeh, L Selmi, C Heitzinger 2019 IEEE SENSORS, 1-4, 2019 | 6 | 2019 |
Network-based uncertainty quantification for mathematical models in epidemiology B Rahnsch, L Taghizadeh Journal of Theoretical Biology 577, 111671, 2024 | 5 | 2024 |
Bayesian estimation for transport equations for nanocapacitors B Stadlbauer, L Taghizadeh, JA Morales Escalante, C Heitzinger, ... UQ18 Abstracts, 69-70, 2018 | 3 | 2018 |
Calibration, compensation, parameter estimation, and uncertainty quantification for nanoelectrode array biosensors A Cossettini, P Scarbolo, JA Morales Escalante, B Stadlbauer, ... UQ18 Abstracts, 81-81, 2018 | 3 | 2018 |
Analysis of the drift-diffusion-Poisson–Boltzmann system for nanowire and nanopore sensors in the alternating-current regime C Heitzinger, L Taghizadeh Communications in Mathematical Sciences 15 (8), 2303-2325, 2017 | 3 | 2017 |
Asymptotic properties of the space–time adaptive numerical solution of a nonlinear heat equation C Budd, O Koch, L Taghizadeh, E Weinmüller Calcolo 55, 1-14, 2018 | 2 | 2018 |
The Stochastic Drift-Diffusion-Poisson System for Modeling Nanowire and Nanopore Sensors L Taghizadeh, A Khodadadian, C Heitzinger Progress in Industrial Mathematics at ECMI 2016 19, 309-317, 2017 | 1 | 2017 |
Bayesian inversion for the identification of the doping profile in unipolar semiconductor devices L Taghizadeh, A Jüngel arXiv preprint arXiv:2408.11485, 2024 | | 2024 |
A pCN-MCMC Method for a Bayesian Inverse Problem in Nanoscale Devices L Taghizadeh # PLACEHOLDER_PARENT_METADATA_VALUE#, 124-124, 2024 | | 2024 |
Interpreting impedance spectroscopy data by using Poisson-Nernst-Planck anomalous models EK Lenzi, LR Evangelista, L Taghizadeh, D Pasterk, RS Zola, T Sandev, ... In Proc. DPG (Deutsche physikalische Gesellschaft) Spring Meeting of the …, 2020 | | 2020 |
Bayesian inference for two inverse problems in tomography and biofilms L Taghizadeh, C Heitzinger In Proc. International Conference on Scientific Computation and Differential …, 2019 | | 2019 |