I am the principal investigator of the FWF Standalone Project Using single atom catalysts as nanozymes in FET sensors. The project is running at the Institute of Information Systems Engineering, Vienna University of Technology.
School of Computer Science and Mathematics, Keele University
Institute of Information Systems Engineering, Vienna University of Technology
Cluster of Excellence PhoenixD (Photonics, Optics, and Engineering)
Institute of Applied Mathematics, Leibniz University of Hannover
Institute of Analysis and Scientific Computing, Vienna University of Technology
Education
PhD (Dr. rer. nat.) in Mathematics
Supervisor: Prof. Clemens Heitzinger
MSc in Mathematics
BSc in Applied Mathematics
Published articles:
34- N, Noii, D. Milijasevic, A. Khodadadian, T. Wick, An Efficient FEniCS Implementation for Coupling Lithium-Ion Battery Charge/Discharge Processes with Fatigue Phase-Field Fracture, Engineering Fracture Mechanics, 110251, 2024, DOI: 10.1016/j.engfracmech.2024.110251
33- N. Noii, D. Milijasevic, H. Waisman, A. Khodadadian, Fatigue failure theory for lithium diffusion induced fracture in lithium-ion battery electrode particles, Computer Methods in Applied Mechanics and Engineering, 428, 117068, 2024, DOI: 10.1016/j.cma.2024.117068
32- M. Abbaszadeh, A. Khodadadian, M. Parvizi and M. Dehghan, Investigation of combustion model via the local collocation technique based on moving Taylor polynomial (MTP) approximation/domain decomposition method with error analysis, Engineering Analysis with Boundary Elements, 159, 288-301, 2024, DOI: 10.1016/j.enganabound.2023.11.010
31- S. Shashaani, M. Teshnehlab, A. Khodadadian, M. Parvizi, T. Wick and N. Noii, Using layer-wise training for road semantic segmentation in autonomous cars, IEEE Access, 2023, DOI: 10.1109/ACCESS.2023.3255988
30- N. Noii, A. Khodadadian and F. Aldakheel, Probabilistic failure mechanisms via Monte Carlo simulations of complex microstructures, Computer Methods in Applied Mechanics and Engineering, 399, 115358, 2022, DOI: 10.1016/j.cma.2022.115358
29- N. Noii, A. Khodadadian, J. Ulloa, F. Aldakheel, T. Wick, S. Francois, and P. Wriggers, Bayesian inversion with open-source code for one-dimensional problems in computational mechanics, Archives of Computational Methods in Engineering, 29, 4285-4318, 2022, DOI: 10.1007/s11831-022-09751-6
28- E. Jalaeian Zaferani, M. Teshnehlab, A. Khodadadian, C. Heitzinger, M. Vali, N. Noii and T. Wick, Hyperparameters optimization of stacked asymmetric auto-encoders for automatic personality traits perception, Sensors, 22(16), 6206, 2022, DOI: 10.3390/s22166206
27- A. Khodadadian, M. Parvizi, M. Teshnehlab and C. Heitzinger (2022), Rational Design of Field-Effect Sensors using Partial Differential Equations, Bayesian Inversion, and Artificial Neural Networks, Sensors, 22(13), 4785, 2022, DOI: 10.3390/s22134785
26- N. Noii, A. Khodadadian, and T. Wick, Bayesian inversion using global-local forward models applied to fracture propagation in porous media, International Journal for Multiscale Computational Engineering, 20(3), 1-22, 2022, DOI: 10.1615/IntJMultCompEng.2022041735
25- V. Mohammadi, M. Dehghan, A. Khodadadian, N. Noii, and T. Wick, An asymptotic analysis and numerical simulation of a prostate tumor growth model via the generalized moving least squares approximation combined with semi-implicit time integration, Applied Mathematical Modeling, 104, 826-849, 2022, DOI: 10.1016/j.apm.2021.12.011
24- N. Noii, A. Khodadadian and T. Wick, Bayesian inversion for anisotropic hydraulic phase-field fracture, Computer Methods in Applied Mechanics and Engineering, 386, 114118, 2021, DOI: 10.1016/j.cma.2021.114118
23- N. Noii, A. Khodadadian, J. Ulloa, F. Aldakheel, T. Wick, S. Francois and P. Wriggers, Bayesian inversion for unified ductile phase-field fracture. Computational Mechanics, 68, 943-980, 2021, DOI: 10.1007/s00466-021-02054-w
22- M. Parvizi, A. Khodadadian and M. R. Eslahchi, A mixed finite element method for solving coupled wave equation of Kirchhoff type with nonlinear boundary damping and memory term. Mathematical Methods in the Applied Sciences, 44 (17), 12500-12521, 2021, DOI: 10.1002/mma.7556
21- V. Mohammadi, M. Dehghan, A. Khodadadian and T. Wick, Numerical investigation on the transport equation in spherical coordinates via generalized moving least squares and moving kriging least squares approximations. Engineering with Computers, 37(2), 1231-1249, 2021, DOI: 10.1007/s00366-019-00881-3
20- M. Abbaszadeh, M. Dehghan, A. Khodadadian, N. Noii, C. Heitzinger and T. Wick, A reduced-order variational multiscale interpolating element free Galerkin technique based on proper orthogonal decomposition for solving Navier-Stokes equations coupled with a heat transfer equation: Nonstationary incompressible Boussinesq equations. Journal of Computational Physics, 426, 109875, 2021, DOI: 10.1016/j.jcp.2020.109875
19- M. Abbaszadeh, M. Dehghan, A. Khodadadian and C. Heitzinger, Application of direct meshless local Petrov-Galerkin method for numerical solution of stochastic elliptic interface problems. Numerical Methods for Partial Differential Equations, 38(5), 1271-1292, 2021, DOI: 10.1002/num.22742
18- M. Abbaszadeh, M. Dehghan, A. Khodadadian and C. Heitzinger, Analysis and application of the interpolating element free Galerkin (IEFG) method to simulate the prevention of groundwater contamination with application in fluid flow Journal of Computational and Applied Mathematics, 368, 112453, 2020, DOI: 0.1016/j.cam.2019.112453
17- A Sadabad, A. Khodadadian, K. H. Istadeh, M. Hedayati, R. Kalantarinejad and C. Heitzinger, Frequency dependence of dielectrophoretic fabrication of single-walled carbon nanotube field-effect transistors, Journal of Computational Electronics, 19(4), 1516-1526, 2020, DOI: 10.1007/s10825-020-01562-x
16- M. Abbaszadeh, M. Dehghan, A. Khodadadian and T. Wick, Legendre spectral element method (LSEM) to simulate the two-dimensional system of nonlinear stochastic advection-reaction-diffusion models, Applicable Analysis, 101(6), 2279-2294, 2020, DOI: 10.1080/00036811.2020.1807007
15- A. Khodadadian, M. Parvizi and C. Heitzinger, An adaptive multilevel Monte Carlo algorithm for the stochastic drift-diffusion-Poisson system, Computer Methods in Applied Mechanics and Engineering, 368, 113163, 2020, DOI: 10.1016/j.cma.2020.113163
14- A. Khodadadian, N. Noii, M. Parvizi, M. Abbaszadeh, T. Wick and C. Heitzinger, A Bayesian estimation method for variational phase-field fracture problems, Computational Mechanics, 66, 827-849, 2020, DOI: 10.1007/s00466-020-01876-4
13- M. Abbaszadeh, M. Dehghan, A. Khodadadian and C. Heitzinger, Error analysis of interpolating element free Galerkin method to solve non-linear extended Fisher-Kolmogorov equation, Computers & Mathematics with Applications, 80(1), 247-262, 2020, DOI: 10.1016/j.camwa.2020.03.014
12- A. Khodadadian, B. Stadlbauer and C. Heitzinger, Bayesian inversion for nanowire field-effect sensors, Journal of Computational Electronics, 19(1), 147-159, 2020, DOI: 10.1007/s10825-019-01417-0
11- M. Parvizi, A. Khodadadian and M.R. Eslahchi, Analysis of Ciarlet-Raviart mixed finite element methods for solving damped Boussinesq equation, Journal of Computational and Applied Mathematics, 379, 112818, 2020, DOI: 10.1016/j.cam.2020.112818
10- S. Mirsian, A. Khodadadian, M. Hedayati, A. Manzour-ol-Ajdad, R. Kalantarinejad and C. Heitzinger, A new method for selective functionalization of silicon nanowire sensors and Bayesian inversion for its parameters, Biosensors and Bioelectronics, 142, 111527, 2019, DOI: 10.1016/j.bios.2019.111527
9- M. Abbaszadeh, A. Khodadadian, M. Parvizi, M. Dehghan and C. Heitzinger, A direct meshless local collocation method for solving stochastic Cahn-Hilliard-Cook and stochastic Swift-Hohenberg equations, Engineering Analysis with Boundary Elements, 98, 253-264, 2019, DOI: 10.1016/j.enganabound.2018.10.021
8- A. Khodadadian, M. Abbaszadeh, M. Parvizi, M. Dehghan and C. Heitzinger, A multilevel Monte Carlo finite element method for the stochastic Cahn-Hilliard-Cook equation, Computational Mechanics, 64(4), 937-949, 2019, DOI: 10.1007/s00466-019-01688-1
7- M. Dehghan, M. Abbaszadeh, A. Khodadadian and C. Heitzinger, Galerkin proper orthogonal decomposition-reduced order method (POD-ROM) for solving generalized Swift-Hohenberg equation, International Journal of Numerical Methods for Heat & Fluid Flow, 29, 2642-2665, 2019 DOI: 10.1108/HFF-11-2018-0647
6- A. Khodadadian, L. Taghizadeh and C. Heitzinger, Optimal multilevel randomized quasi-Monte-Carlo method for the stochastic drift-diffusion-Poisson system, Computer Methods in Applied Mechanics and Engineering, 329, 480-497, 2018, DOI: 10.1016/j.cma.2017.10.015
5- A. Khodadadian, L. Tagizadeh and C. Heitzinger, Three-dimensional optimal multi-level Monte-Carlo approximation of the stochastic drift-diffusion-Poisson system in nanoscale devices, Journal of Computational Electronics, 17(1), 76-89, 2018, DOI: 10.1007/s10825-017-1118-0
4- A. Khodadadian, K. Hosseini, A. Manzour-ol-Ajdad, M. Hedayati, R. Kalantarinejad and C. Heitzinger, Optimal design of nanowire field-effect troponin sensors Computers in Biology and Medicine, 87, 46-56, 2017, DOI: 10.1016/j.cma.2017.02.014
3- L. Taghizadeh, A. Khodadadian and C. Heitzinger, The optimal multilevel Monte-Carlo approximation of the stochastic drift-diffusion-Poisson system Computer Methods in Applied Mechanics and Engineering, 318, 739-761, 2017, DOI: 10.1016/j.cma.2017.02.014
2- A. Khodadadian and C. Heitzinger, Basis adaptation for the stochastic nonlinear Poisson-Boltzmann equation, Journal of Computational Electronics, 15(4), 1393-1406, 2016, DOI: 10.1007/s10825-016-0922-2
1- A. Khodadadian and C. Heitzinger, A transport equation for conned structures applied to the OprP, Gramicidin A, and KcsA channels, Journal of Computational Electronics, 14(2), 524-532, 2015, DOI: 10.1007/s10825-015-0680-6
In-review articles:
5- M. Abbaszadeh, A. Khodadadian, M. Parvizi, M. Dehghan, Dunhui Xiao, A reduced-order least squares-support vector regression and isogeometric collocation method to simulate Cahn-Hilliard-Navier-Stokes equation, minor revision in Journal of Computational Physics, 2024
4- M. Abbaszadeh, M. Parvizi, A. Khodadadian, T. Wick, M. Dehghan, A reproducing kernel particle method (RKPM) algorithm for solving the tropical Pacific Ocean model, revision in Computers & Mathematics With Applications, 2024
3- E. Khodadadian, S. Mirsian, S. Shashaani, M. Parvizi, A. Khodadadian, P. Knees, W. Hilber, and C. Heitzinger, A Bayesian inversion supervised learning framework for the enzyme activity in graphene field-effect transistors, submitted for publication, 2024
2- S. Mirsian, W. Hilber, E. Khodadadian, M. Parvizi, A. Khodadadian, S. M. Khoshfetrat, C. Heitzinger, B. Jakoby, Advanced biocatalytic profiling via graphene-based FETs: exploring heme peroxidase activity with machine learning integration, submitted for publication, 2024
1- M. Parvizi, A. Khodadadian and T. Wick, Analysis of a fully discretized FDM-FEM scheme for solving thermo-elastic-damage coupled nonlinear PDE systems, submitted for publication, 2023, ArXiv: 2302.01994
Proceedings and talks:
17- M. Parvizi, A. Khodadadian S. Beuchler and T. Wick, Hierarchical LU preconditioning for the time-harmonic Maxwell equations, Domain Decomposition 27, Prague, Czech, January 21-25, 2022, DOI: 10.1007/978-3-031-50769-4_47
16- N. Noii, A. Khodadadian and T. Wick, Global-Local Forward Models within Bayesian Inversion for Large Strain Fracturing in Porous Media, accepted for publication in Domain Decomposition 27 Prague, Czech Republic, July 2022, DOI: 10.1007/978-3-031-50769-4_45
15- A. Khodadadian, N. Noii, M. Parvizi and T. Wick, A global/local approach for parameter estimation in phase-field fracture problems, ECCOMAS CONGRESS 2022, Oslo, Norway, June 5-9, 2022.
14- N. Noii, A. Khodadadian, J. Ulloa, F. Aldakheel, T. Wick, S. Francois, & P. Wriggers, Bayesian inversion for unified ductile phase-field fracture in Chemnitz Finite Element Symposium Chemnitz Chemniz, Germany, September 2021.
13- A. Khodadadian, N. Noii, M. Parvizi, M. Abbaszadeh, T. Wick and C. Heitzinger, Bayesian inversion for variational phase-field fracture problems, in SIAM Conference on Uncertainty Quantification (UQ 2020) Munich, Germany, March 2020.
12- A. Khodadadian and C. Heitzinger, Bayesian inversion for nanoscale field-effect sensors using the stochastic drift-diffusion-Poisson-Boltzmann system, in 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics Vienna, Austria, February 2020.
11- A. Khodadadian, M. Parvizi and C. Heitzinger, Optimal multi-level Monte Carlo and adaptive grid refinement for the stochastic drift-diffusion-Poisson system, in SIAM Conference on Uncertainty Quantification (UQ 2018) Garden Grove, CA, USA, April 16-19, 2018.
10- A. Khodadadian, L. Taghizadeh and C. Heitzinger, Optimal multi-level Monte Carlo method for the stochastic drift-diffusion-Poisson system, in 13th Austrian Numerical Analysis Day Salzburg, Austria, May 4-5, 2017.
9- A. Khodadadian, C. Heitzinger, K. Hosseini, R. Kalantarinejad, M. Hedayati, and A. Manzour-ol-Ajdad, Optimal sensitivity of nanowire field-effect troponin sensors, in 14th US National Congress on Computational Mechanics Montreal, Canada, July 17-20, 2017.
8- L. Taghizadeh, A. Khodadadian and C. Heitzinger, Stochastic modeling of dopant atoms in nanoscale transistors using multi-level Monte Carlo, in SIAM Conference on Uncertainty Quantification 2016 (SIAM UQ16), Lausanne, Switzerland, April 5-8, 2016.
7- Taghizadeh, A. Khodadadian and C. Heitzinger, The stochastic drift-diffusion-Poisson system for modeling nanowire and nanopore sensors, in European Consortium for Mathematics in Industry Santiago de Compostela, Spain, 13--17 June 2016, DOI: 10.1007/978-3-319-63082-3_48.
6- A. Khodadadian and C. Heitzinger, Ionic currents through transmembrane proteins calculated by a transport equation for conned structures, in 4th International Conference on Computational and Mathematical Biomedical Engineering, Cachan, France, 29 June - 1 July 2015.
5- A. Khodadadian and C. Heitzinger, The signal-to-noise ratio due to biological noise in field-effect sensors calculated using the stochastic Poisson equation and polynomial-chaos expansion, in 13th US National Congress on Computational Mechanics, San Diego, USA, July 27-30, 2015.
4- A. Khodadadian and C. Heitzinger, Quasi-Monte-Carlo methods for the linear and nonlinear stochastic Poisson-Boltzmann equations, in 11th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, Leuven, Belgium, April 6-11, 2014.
3- A. Khodadadian and C. Heitzinger, Uncertainty quantification in nanowire sensors using the stochastic nonlinear Poisson-Boltzmann equation, in SIAM Conference on Uncertainty Quantification (UQ 2014), Savannah, Georgia, USA, March 31- April 03, 2014.
2- A. Khodadadian and C. Heitzinger, Using the stochastic Poisson-Boltzmann equation to quantify noise in nanowire bio-and gas sensors, in 11th World Congress on Computational Mechanics (WCCMXI), Barcelona, Spain, July 20-25, 2014.
1- A. Khodadadian and C. Heitzinger, Simulation of nanowire sensors using the stochastic PoissonBoltzmann equation, in 12nd International Conference on Mathematical Modeling in Physical Sciences, Prague, Czech Republic, September 1-5, 2013.
2) June 2023 - May 2026: I have been funded by Austrian Science Fund (FWF).
project: Using Single Atom Catalysts as Nanozymes in FET Sensors
grant: 476k€
1) Dec 2017 - June 2018: I was funded by the Vienna University of Technology
project: Nanowire FET Biosensor Design
grant: 12k€
WiSe 2024/25
WiSe 2023/24
WiSe 2022/23
SuSe 2022
WiSe 2021/22
SuSe 2021
WiSe 2020/21
SuSe 2020
WiSe 2019/20
SuSe 2019
WiSe 2018/19
School of Mathematical and Statistical Sciences
Arizona State University
hosted by Prof. Clemens Heitzinger
English (fluent speaker)
German (B2 level speaker)
Persian (native speaker)
Postdoctoral Researchers
MSc students