| 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 | 12 | 2017 |
| 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 | 10 | 2018 |
| 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 | 8 | 2018 |
| 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 | 6 | 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 | 4 | 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 | 4 | 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 | 3 | 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 | 3 | 2017 |
| Uncertainty quantification in epidemiological models for the COVID-19 pandemic L Taghizadeh, A Karimi, C Heitzinger Computers in Biology and Medicine 125, 104011, 2020 | 1 | 2020 |
| 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 | 1 | 2016 |
| 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 | | 2019 |
| Determination of Micro-and Nano-particle Properties by Multi-Frequency Bayesian Methods and Applications to Nanoelectrode Array Sensors A Cossettini, B Stadlbauer, JAE Morales, L Taghizadeh, L Selmi, ... 18th IEEE Sensors, SENSORS 2019 2019, 1-4, 2019 | | 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 | | 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), 43, 2018 | | 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, 0 | | |
| Stochastic PDEs for Modeling Transport in Nanoscale Devices L Taghizadeh | | |
| Bayesian Estimation and Machine Learning: Current Problems and Challenges with Examples in Electrical Impedance Tomography and Nanosensors C Heitzinger, J Morales, B Stadlbauer, L Taghizadeh | | |
| 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 | | |
