Leila Taghizadeh
Leila Taghizadeh
Postdoctoral Researcher, TU Wien
Verified email at TUWien.ac.at - Homepage
Cited by
Cited by
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
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 (1), 76-89, 2018
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
Uncertainty quantification in epidemiological models for the COVID-19 pandemic
L Taghizadeh, A Karimi, C Heitzinger
Computers in Biology and Medicine 125, 104011, 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
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
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
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
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
Calibration, compensation, parameter estimation, and uncertainty quantification for nanoelectrode array biosensors
A Cossettini, P Scarbolo, JM Escalante, B Stadlbauer, N Muhammad, ...
Proc. SIAM Conference on Uncertainty Quantification (UQ 2018), 81, 2018
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
Asymptotic properties of the space–time adaptive numerical solution of a nonlinear heat equation
C Budd, O Koch, L Taghizadeh, E Weinmüller
Calcolo 55 (4), 1-14, 2018
The Stochastic Drift-Diffusion-Poisson System for Modeling Nanowire and Nanopore Sensors
L Taghizadeh, A Khodadadian, C Heitzinger
European Consortium for Mathematics in Industry, 309-317, 2016
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
Existence and local uniqueness for the Stokes-Nernst-Planck-drift-diffusion-Poisson system modeling nanopore and nanowire sensors
L Taghizadeh, C Heitzinger
Communications in Mathematical Sciences 17 (8), 2089-2112, 2019
Computational Bayesian inversion for nanocapacitor-array biosensors and electrical-impedance tomography
C Heitzinger, D Pasterk, L Taghizadeh
Proc. SIAM Conference on Uncertainty Quantification (UQ 2020), 81-82, 2019
Stochastic PDEs for Modeling Transport in Nanoscale Devices
L Taghizadeh
B} ayesian estimation and machine learning: current problems and challenges with examples in electrical impedance tomography and nanosensors}
C Heitzinger, J Morales, B Stadlbauer, L Taghizadeh
I} n {P} roc.{W} orkshop on {R} esearch {C} hallenges and {O} pportunities …, 0
Stochastic partial differential equations for the modeling of nanowire and nanopore sensors
C Heitzinger, A Khodadadian, G Pammer, L Taghizadeh, G Tulzer
19th European Conference on Mathematics for Industry, 86, 0
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