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Publications Clemens Heitzinger

192 records

Books and Editorships

1.  C. Heitzinger, M. Leumüller, G. Pammer, S. Rigger:
"Existence, Uniqueness, and a Comparison of Nonintrusive Methods for the Stochastic Nonlinear Poisson--Boltzmann Equation";
SIAM/ASA Journal on Uncertainty Quantification, 6 (2018), 3; 1019 - 1042. https://doi.org/10.1137/17M1127375

Publications in Scientific Journals

63.   Bologheanu, R., Kapral, L., Laxar, D., Maleczek, M., Dibiasi, C., Zeiner, S., Agibetov, A., Ercole, A., Thoral, P., Elbers, P., Clemens Heitzinger, Kimberger, O. (2023).
Development of a Reinforcement Learning Algorithm to Optimize Corticosteroid Therapy in Critically Ill Patients With Sepsis.
Journal of Clinical Medicine, 12(4), Article 1513. https://doi.org/10.3390/jcm12041513 (reposiTUm)

62.   Ruzicka, L., Dominik Söllinger, Kohn, B., Heitzinger, C., Uhl, A., Strobl, B. (2023).
Improving Sensor Interoperability Between Contactless and Contact-Based Fingerprints Using Pose Correction and Unwarping.
IET Biometrics, 2023, Article 7519499. https://doi.org/10.1049/2023/7519499 (reposiTUm)

61.   Abbaszadeh, M., Dehghan, M., Khodadadian, A., Heitzinger, C. (2022).
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. https://doi.org/10.1002/num.22742 (reposiTUm)

60.   Tomeva, E., Switzeny, O., Heitzinger, C., Hippe, B., Haslberger, A. G. (2022).
Comprehensive Approach to Distinguish Patients With Solid Tumors From Healthy Controls by Combining Androgen Receptor Mutation p.H875Y With Cell-Free DNA Methylation and Circulating miRNAs.
Cancers, 14(2), Article 462. https://doi.org/10.3390/cancers14020462 (reposiTUm)

59.   Jalaeian Zaferani, E., Teshnehlab, M., Khodadadian, A., Heitzinger, C., Vali, M., Noii, N., Wick, T. (2022).
Hyper-Parameter Optimization of Stacked Asymmetric Auto-Encoders for Automatic Personality Traits Perception.
Sensors, 22(16), Article 6206. https://doi.org/10.3390/s22166206 (reposiTUm)

58.   Khodadadian, A., Parvizi, M., Teshnehlab, M., Heitzinger, C. (2022).
Rational Design of Field-Effect Sensors Using Partial Differential Equations, Bayesian Inversion, and Artificial Neural Networks.
Sensors, 22(13), Article 4785. https://doi.org/10.3390/s22134785 (reposiTUm)

57.   Böck, M., Heitzinger, C. (2022).
Speedy Categorical Distributional Reinforcement Learning and Complexity Analysis.
SIAM Journal on the Mathematics of Data Science, 4(2), 675–693. https://doi.org/10.1137/20M1364436 (reposiTUm)

56.   Morales Escalante, J. A., Heitzinger, C. (2022).
Stochastic Galerkin Methods for the Boltzmann-Poisson System.
Journal of Computational Physics, 466, Article 111400. https://doi.org/10.1016/j.jcp.2022.111400 (reposiTUm)

55.   Böck, M., Malle, J., Pasterk, D., Kukina, H., Hasani, R., Heitzinger, C. (2022).
Superhuman Performance on Sepsis MIMIC-III Data by Distributional Reinforcement Learning.
PLoS ONE, 17(11), Article e0275358. https://doi.org/10.1371/journal.pone.0275358 (reposiTUm)

54.   Heitzinger, C., Morales Escalant, J. A. (2021).
Homogenization of Boundary Layers in the Boltzmann--Poisson System.
Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, 19(1), 506–532. https://doi.org/10.1137/18m1193888 (reposiTUm)

53.   Karimi, A., Taghizadeh, L., Heitzinger, C. (2021).
Optimal Bayesian Experimental Design for Electrical Impedance Tomography in Medical Imaging.
Computer Methods in Applied Mechanics and Engineering, 373(113489), 113489. https://doi.org/10.1016/j.cma.2020.113489 (reposiTUm)

52.   Khodadadian, A., Noii, N., Parvizi, M., Abbaszadeh, M., Wick, T., Heitzinger, C. (2020).
A Bayesian Estimation Method for Variational Phase-Field Fracture Problems.
Computational Mechanics, 66(4), 827–849. https://doi.org/10.1007/s00466-020-01876-4 (reposiTUm)

51.   Abbaszadeh, M., Dehghan, M., Khodadadian, A., Noii, N., Heitzinger, C., Wick, T. (2020).
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), 109875. https://doi.org/10.1016/j.jcp.2020.109875 (reposiTUm)

50.   Khodadadian, A., Parvizi, M., Heitzinger, C. (2020).
An Adaptive Multilevel Monte-Carlo Algorithm for the Stochastic Drift-Diffusion-Poisson System.
Computer Methods in Applied Mechanics and Engineering, 368(113163), 113163. https://doi.org/10.1016/j.cma.2020.113163 (reposiTUm)

49.   Abbaszadeh, M., Dehghan, M., Khodadadian, A., Heitzinger, C. (2020).
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), 112453. https://doi.org/10.1016/j.cam.2019.112453 (reposiTUm)

48.   Taghizadeh, L., Karimi, A., Presterl, E., Heitzinger, C. (2020).
Bayesian Inversion for a Biofilm Model Including Quorum Sensing.
Computers in Biology and Medicine, 117(103582), 103582. https://doi.org/10.1016/j.compbiomed.2019.103582 (reposiTUm)

47.   Taghizadeh, L., Karimi, A., Stadlbauer, B., Weninger, W. J., Kaniusas, E., Heitzinger, C. (2020).
Bayesian Inversion for Electrical-Impedance Tomography in Medical Imaging Using the Nonlinear Poisson-Boltzmann Equation.
Computer Methods in Applied Mechanics and Engineering, 365(112959), 112959. https://doi.org/10.1016/j.cma.2020.112959 (reposiTUm)

46.   Khodadadian, A., Stadlbauer, B., Heitzinger, C. (2020).
Bayesian Inversion for Nanowire Field-Effect Sensors.
Journal of Computational Electronics, 19(1), 147–159. https://doi.org/10.1007/s10825-019-01417-0 (reposiTUm)

45.   Blankrot, B., Heitzinger, C. (2020).
Efficient Computational Design and Optimization of Dielectric Metamaterial Structures.
IEEE Journal on Multiscale and Multiphysics Computational Techniques, 4, 234–244. https://doi.org/10.1109/jmmct.2019.2950569 (reposiTUm)

44.   Abbaszadeh, M., Dehghan, M., Khodadadian, A., Heitzinger, C. (2020).
Error Analysis of the Interpolating Element Free Galerkin Method to Solve the Non-Linear Extended Fisher-Kolmogorov Equation.
Computers and Mathematics with Applications, 80(1), 247–262. https://doi.org/10.1016/j.camwa.2020.03.014 (reposiTUm)

43.   Adeli Sadabad, Y., Khodadadian, A., Istadeh, K. H., Hedayati, M., Kalantarinejad, R., Heitzinger, C. (2020).
Frequency Dependence of Dieletrophoresis Fabrication of Single-Walled Carbon Nanotube Field-Effect Transistors.
Journal of Computational Electronics, 19(4), 1516–1526. https://doi.org/10.1007/s10825-020-01562-x (reposiTUm)

42.   Stadlbauer, B., Mitscha-Baude, G., Heitzinger, C. (2020).
Modeling Single-Molecule Stochastic Transport for {DNA} Exo-Sequencing in Nanopore Sensors.
Nanotechnology, 31(7), 075502. https://doi.org/10.1088/1361-6528/ab513e (reposiTUm)

41.   Stadlbauer, B., Mitscha-Eibl, G., Heitzinger, C. (2020).
Modeling Single-Molecule Stochastic Transport in Nanopore Sensors.
Nanotechnology, 31(7), 075502. https://doi.org/10.1088/1361-6528/ab513e (reposiTUm)

40.   Taghizadeh, L., Karimi, A., Heitzinger, C. (2020).
Uncertainty Quantification in Epidemiological Models for the COVID-19 Pandemic.
Computers in Biology and Medicine, 125(104011), 104011. https://doi.org/10.1016/j.compbiomed.2020.104011 (reposiTUm)

39.   Abbaszadeh, M., Khodadadian, A., Parvizi, M., Dehghan, M., Heitzinger, C. (2019).
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. https://doi.org/10.1016/j.enganabound.2018.10.021 (reposiTUm)

38.   Mirsian, S., Khodadadian, A., Hedayati, M., Manzour-ol-Ajdad, A., Kalantarinejad, R., Heitzinger, C. (2019).
A New Method for Selective Functionalization of Silicon Nanowire Sensors and Bayesian Inversion for Its Parameters.
Biosensors and Bioelectronics, 142(111527), 111527. https://doi.org/10.1016/j.bios.2019.111527 (reposiTUm)

37.   Stadlbauer, B., Cossettini, A., Morales Escalante, J. A., Pasterk, D., Scarbolo, P., Taghizadeh, L., Heitzinger, C., Selmi, L. (2019).
Bayesian Estimation of Physical and Geometrical Parameters for Nanocapacitor Array Biosensors.
Journal of Computational Physics, 397, Article 108874. https://doi.org/10.1016/j.jcp.2019.108874 (reposiTUm)

36.   Blankrot, B., Heitzinger, C. (2019).
Design of Aperiodic Demultiplexers and Optical Diodes by Optimizing Photonic Crystals.
OSA Continuum, 2(7), 2244. https://doi.org/10.1364/osac.2.002244 (reposiTUm)

35.   Taghizadeh, L., Heitzinger, C. (2019).
Existence and Local Uniqueness for the Stokes-Nernst-Planck-Drift-Diffusion-Poisson System Modeling Nanopore and Nanowire Sensors.
Communications in Mathematical Sciences, 17(8), 2089–2112. https://doi.org/10.4310/cms.2019.v17.n8.a2 (reposiTUm)

34.   Dehghan, M., Abbaszadeh, M., Khodadadian, A., Heitzinger, C. (2019).
Galerkin Proper Orthogonal Decomposition Reduced Order Method (POD-ROM) for Solving the Generalized Swif}-Hohenberg Equation.
International Journal of Numerical Methods for Heat and Fluid Flow, 29(8), 2642–2665. https://doi.org/10.1108/hff-11-2018-0647 (reposiTUm)

33.   Lenzi, E. K., Evangelista, L. R., Taghizadeh, L., Pasterk, D., Zola, R. S., Sandev, T., Heitzinger, C., Petreska, I. (2019).
The Reliability of Poisson-Nernst-Planck Anomalous Models for Impedance Spectroscopy.
Communications in Mathematical Sciences, 123(37), 7885–7892. https://doi.org/10.1021/acs.jpcb.9b06263 (reposiTUm)

32.   Heitzinger, C., Pammer, G., Rigger, S. (2018).
Cubature Formulas for Multisymmetric Functions and Applications to Stochastic Partial Differential Equations.
SIAM/ASA Journal on Uncertainty Quantification, 6(1), 213–242. https://doi.org/10.1137/17M1125418 (reposiTUm)

31.   Khodadadian, A., Taghizadeh, L., Heitzinger, C. (2018).
Optimal Multilevel Randomized Quasi-Monte-Carlo Method for the Stochastic Drift-Diffusion-Poisson System.
Computer Methods in Applied Mechanics and Engineering, 329, 480–497. https://doi.org/10.1016/j.cma.2017.10.015 (reposiTUm)

30.   Khodadadian, A., Taghizadeh, L., Heitzinger, C. (2018).
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. https://doi.org/10.1007/s10825-017-1118-0 (reposiTUm)

29.   Mitscha-Baude, G., Buttinger-Kreuzhuber, A., Tulzer, G., Heitzinger, C. (2017).
Adaptive and Iterative Methods for Simulations of Nanopores With the PNP–Stokes Equations.
Journal of Computational Physics, 338, 452–476. https://doi.org/10.1016/j.jcp.2017.02.072 (reposiTUm)

28.   Heitzinger, C., Taghizadeh, L. (2017).
Analysis of the Drift-Diffusion-Poisson-Boltzmann System for Nanowire Sensors in the Alternating-Current Regime.
Communications in Mathematical Sciences, 15(8), 2303–2325. https://doi.org/10.4310/cms.2017.v15.n8.a8 (reposiTUm)

27.  C. Heitzinger, G. Pammer:
"Existence, uniqueness, and a non-intrusive stochastic Galerkin method for the stochastic nonlinear Poisson-Boltzmann equation";
SIAM/ASA Journal on Uncertainty Quantification, 6 (2017), 3.

26.   Taghizadeh, L., Khodadadian, A., Heitzinger, C. (2017).
The Optimal Multilevel Monte-Carlo Approximation of the Stochastic Drift-Diffusion-Poisson System.
Computer Methods in Applied Mechanics and Engineering, 318, 739–761. https://doi.org/10.1016/j.cma.2017.02.014 (reposiTUm)

25.   Khodadadian, A., Heitzinger, C. (2016).
Basis Adaptation for the Stochastic Nonlinear Poisson- Boltzmann Equation.
Journal of Computational Electronics, 15(4), 1393–1406. https://doi.org/10.1007/s10825-016-0922-2 (reposiTUm)

24.   Tulzer, G., Heitzinger, C. (2016).
Brownian-Motion Based Simulation of Stochastic Reaction- Diffusion Systems for Affinity Based Sensors.
Nanotechnology, 27(16), 165501. https://doi.org/10.1088/0957-4484/27/16/165501 (reposiTUm)

23.  G. Tulzer, C. Heitzinger:
"Fluctuations due to association and dissociation processes at nanowire-biosensor surfaces and their optimal design";
Nanotechnology, 26 (2016), 2; 025502/1 - 025502/9.

22.   Geiersbach, C., Heitzinger, C., Tulzer, G. (2016).
Optimal Approximation of the First-Order Corrector in Multiscale Stochastic Elliptic PDE.
SIAM/ASA Journal on Uncertainty Quantification, 4(1), 1246–1262. https://doi.org/10.1137/16M106011X (reposiTUm)

21.   Geiersbach, C., Heitzinger, C., Tulzer, G. (2016).
Optimal Approximation of the First-Order Corrector in Multiscale Stochastic Elliptic PDE.
SIAM/ASA Journal on Uncertainty Quantification, 4(1), 1246–1262. https://doi.org/10.1137/16m106011x (reposiTUm)

20.   Bernardi, M. H., Schmidlin, D., Ristl, R., Heitzinger, C., Schiferer, A., Neugebauer, T., Wrba, T., Hiesmayr, M., Druml, W., Lassnigg, A. (2016).
Serum Creatinine Back-Estimation in Cardiac Surgery Patients : Misclassification of AKI Using Existing Formulae and a Data-Driven Model.
Clinical Journal of the American Society of Nephrology, 11(3), 395–404. https://doi.org/10.2215/cjn.03560315 (reposiTUm)

19.   Khodadadian, A., Heitzinger, C. (2015).
A Transport Equation for Confined Structures Applied to the OprP, Gramicidin A, and KcsA Channels.
Journal of Computational Electronics, 14(2), 524–532. https://doi.org/10.1007/s10825-015-0680-6 (reposiTUm)

18.   Brinkman, D., Heitzinger, C., Markowich, P. A. (2014).
A Convergent 2D Finite-Difference Scheme for the Dirac-Poisson System With Magnetic Potential and the Simulation of Graphene.
Journal of Computational Physics, 257, 318–332. https://doi.org/10.1016/j.jcp.2013.09.052 (reposiTUm)

17.   Heitzinger, C., Ringhofer, C. (2014).
Hierarchies of Transport Equations for Nanopores - Equations Derived From the Boltzmann Equation and the Modeling of Confined Structures.
Journal of Computational Electronics, 13(4), 801–817. https://doi.org/10.1007/s10825-014-0586-8 (reposiTUm)

16.   Heitzinger, C., Ringhofer, C. (2014).
Multiscale Modeling of Fluctuations in Stochastic Elliptic PDE Models of Nanosensors.
Communications in Mathematical Sciences, 12(3), 401–421. https://doi.org/10.4310/cms.2014.v12.n3.a1 (reposiTUm)

15.   Heitzinger, C., Ringhofer, C., Selberherr, S. (2007).
Finite Difference Solutions of the Nonlinear Schrödinger Equation and Their Conservation of Physical Quantities.
Communications in Mathematical Sciences, 5(4), 779–788. https://doi.org/10.4310/cms.2007.v5.n4.a2 (reposiTUm)

14.   Wessner, W., Cervenka, J., Heitzinger, C., Hossinger, A., Selberherr, S. (2006).
Anisotropic Mesh Refinement for the Simulation of Three-Dimensional Semiconductor Manufacturing Processes.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 25(10), 2129–2139. https://doi.org/10.1109/tcad.2005.862750 (reposiTUm)

13.   Heitzinger, C., Sheikholeslami, A., Park, J. M., Selberherr, S. (2005).
A Method for Generating Structurally Aligned Grids for Semiconductor Device Simulation.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 24(10), 1485–1491. https://doi.org/10.1109/tcad.2005.852297 (reposiTUm)

12.  C. Heitzinger, Ch. Ringhofer:
"A Note on the Symplectic Integration of the Nonlinear Schrödinger Equation";
Journal of Computational Electronics, 3 (2004), 1; 33 - 44.

11.  T. Binder, C. Heitzinger, S. Selberherr:
"A Study on Global and Local Optimization Techniques for TCAD Analysis Tasks";
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 23 (2004), 6; 814 - 822. https://doi.org/10.1109/TCAD.2004.828130

10.  C. Heitzinger, A. Hössinger, S. Selberherr:
"An Algorithm for Smoothing Three-Dimensional Monte Carlo Ion Implantation Simulation Results";
Mathematics and Computers in Simulation, 66 (2004), 2-3; 219 - 230. https://doi.org/10.1016/j.matcom.2003.11.010

9.  S. Holzer, R. Minixhofer, C. Heitzinger, J. Fellner, T. Grasser, S. Selberherr:
"Extraction of Material Parameters Based on Inverse Modeling of Three-Dimensional Interconnect Fusing Structures";
Microelectronics Journal, 35 (2004), 10; 805 - 810. https://doi.org/10.1016/j.mejo.2004.06.011

8.  C. Heitzinger, A. Sheikholeslami, F. Badrieh, H. Puchner, S. Selberherr:
"Feature-Scale Process Simulation and Accurate Capacitance Extraction for the Backend of a 100-nm Aluminum/TEOS Process";
IEEE Transactions on Electron Devices, 51 (2004), 7; 1129 - 1134. https://doi.org/10.1109/TED.2004.829868

7.  C. Heitzinger, S. Selberherr:
"On the Simulation of the Formation and Dissolution of Silicon Self-Interstitial Clusters and the Corresponding Inverse Modeling Problem";
Microelectronics Journal, 35 (2004), 2; 167 - 171. https://doi.org/10.1016/j.mejo.2003.09.014

6.  C. Heitzinger, A. Hössinger, S. Selberherr:
"On Smoothing Three-Dimensional Monte Carlo Ion Implantation Simulation Results";
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 22 (2003), 7; 879 - 883. https://doi.org/10.1109/TCAD.2003.814259

5.  C. Heitzinger, W. Pyka, N. Tamaoki, T. Takase, T. Ohmine, S. Selberherr:
"Simulation of Arsenic In Situ Doping With Polysilicon CVD and Its Application to High Aspect Ratio Trenches";
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 22 (2003), 3; 285 - 292. https://doi.org/10.1109/TCAD.2002.807879

4.  A. Sheikholeslami, C. Heitzinger, H. Puchner, F. Badrieh, S. Selberherr:
"Simulation of Void Formation in Interconnect Lines";
Proceedings of SPIE, 5117 (2003), 445 - 452. https://doi.org/10.1117/12.498783

3.  T. Grasser, H. Kosina, C. Heitzinger, S. Selberherr:
"Accurate Impact Ionization Model which Accounts for Hot and Cold Carrier Populations";
Applied Physics Letters, 80 (2002), 4; 613 - 615. https://doi.org/10.1063/1.1445273

2.  C. Heitzinger, S. Selberherr:
"An Extensible TCAD Optimization Framework Combining Gradient Based and Genetic Optimizers";
Microelectronics Journal, 33 (2002), 1-2; 61 - 68. https://doi.org/10.1016/S0026-2692(01)00105-7

1.  T. Grasser, H. Kosina, C. Heitzinger, S. Selberherr:
"Characterization of the Hot Electron Distribution Function Using Six Moments";
Journal of Applied Physics, 91 (2002), 6; 3869 - 3879. https://doi.org/10.1063/1.1450257

Contributions to Books

2.   Clemens Heitzinger, Stefan Woltran. (2024).
A Short Introduction to Artificial Intelligence: Methods, Success Stories, and Current Limitations.
In H. Werthner, C. Ghezzi, J. Kramer (Eds.), Introduction to Digital Humanism : A Textbook (pp. 135–149). Springer. https://doi.org/10.1007/978-3-031-45304-5_9 (reposiTUm)

1.   Heitzinger, C. (2022).
Algorithms For and Challenges In the Analysis Of Markers In Personalized Health Care.
In A. Haslberger (Ed.), Advances in Precision Nutrition, Personalization and Healthy Aging (pp. 203–229). Springer Cham. https://doi.org/10.1007/978-3-031-10153-3_9 (reposiTUm)

Talks and Poster Presentations (with Proceedings-Entry)

89.   Holly, S., Heel, R., Katic, D., Schoeffl, L., Stiftinger, A., Holzner, P., Kaufmann, T., Haslhofer, B., Schall, D., Heitzinger, C., Kemnitz, J. (2022).
Autoencoder Based Anomaly Detection and Explained Fault Localization in Industrial Cooling Systems.
In Proceedings of the 7th European Conference of the Prognostics and Health Management Society 202 (pp. 200–210), Turin, Italy. https://doi.org/10.36001/phme.2022.v7i1.3349 (reposiTUm)

88.   Karimi, A., Taghizadeh, L., Heitzinger, C. (2021).
Optimal Bayesian Experimental Design for Electrical Impedance Tomography in Medical Imaging.
In Proc. SIAM Conference on Computational Science and Engineering (CSE 2021), Austria. (reposiTUm)

87.   Heitzinger, C., Pasterk, D., Taghizadeh, L. (2020).
Computational Bayesian Inversion for Nanocapacitor-Array Biosensors and Electrical-Impedance Tomography.
In In Proc. SIAM Conference on Uncertainty Quantification (UQ 2020), Munich, Germany. (reposiTUm)

86.   Lenzi, E., Evangelista, L., Taghizadeh, L., Pasterk, D., Zola, R., Sandev, T., Heitzinger, C., Petreska, I. (2020).
Interpreting Impedance Spectroscopy Data by Using Poisson-Nernst-Planck Anomalous Models.
In In Proc. DPG (Deutsche physikalische Gesellschaft) Spring Meeting of the Condensed Matter Section, (p. DY 56.5), Dresden, Germany. (reposiTUm)

85.   Heitzinger, C., Taghizadeh, L. (2019).
Bayesian PDE Inversion in Electrical-Impedance Tomography.
In In Proc. 9th International Congress on Industrial and Applied Mathematics (ICIAM 2019) (p. 352), Valencia, Spain. (reposiTUm)

84.   Taghizadeh, L., Heitzinger, C. (2019).
Bayesian Analysis for Poisson-Boltzmann Equation Modeling Electrical Impedance Tomography Devices.
In In Proc. 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM) (p. 422), Vienna, Austria, Austria. (reposiTUm)

83.   Taghizadeh, L., Heitzinger, C. (2019).
Bayesian Inference for Two Inverse Problems in Tomography and Biofilms.
In In Proc. International Conference on Scientific Computation and Differential Equations 2019 (SciCADE 2019) (p. 280), Innsbruck, Austria, Austria. (reposiTUm)

82.   Cossettini, A., Stadlbauer, B., Morales Escalant, J., Taghizadeh, L., Selmi, L., Heitzinger, C. (2019).
Determination of Micro- And Nano-Particle Properties by Multi-Frequency Bayesian Methods and Applications to Nanoelectrode Array Sensors.
In 2019 IEEE SENSORS, Montreal, Canada. https://doi.org/10.1109/sensors43011.2019.8956529 (reposiTUm)

81.   Blankrot, B., Heitzinger, C. (2019).
Efficiently Optimizing Inclusion Rotation Angle for Maximal Power Flow.
In Proceedings of the 14th International Conference on Mathematical and Numerical Aspects of Wave Propagation (pp. 480–481), Wien, Austria. https://doi.org/10.34726/waves2019 (reposiTUm)

80.   Heitzinger, C., Khodadadian, A., Pasterk, D., Taghizadeh, L. (2019).
Modeling and Simulation of Nanotechnological Sensors.
In In Proc. 9th International Congress on Industrial and Applied Mathematics (ICIAM 2019) (p. 309), Valencia, Spain. (reposiTUm)

79.   Taghizadeh, L., Heitzinger, C., Kaniusas, E., Wenninger, W. (2019).
Progress in Electrical-Impedance Tomography.
In Vienna Center for Engineering and Medicine (ViCEM) Biennial Meeting, Vienna, Austria, Austria. (reposiTUm)

78.   Blankrot, B., Heitzinger, C. (2018).
Automated Design of Photonic Crystal Demultiplexers.
In 2018 12th International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials) (pp. 55–57), Espoo, Finland. https://doi.org/10.1109/MetaMaterials.2018.8534050 (reposiTUm)

77.   Heitzinger, C., Morales Escalant, J., Stadlbauer, B., Taghizadeh, L. (2018).
Bayesian Estimation and Machine Learning: Current Problems and Challenges With Examples in Electrical Impedance Tomography and Nanosensors.
In In Proc. Workshop on Research Challenges and Opportunities at the interface of Machine Learning and Uncertainty Quantification, University of Southern California, Los Angeles, CA, USA. (reposiTUm)

76.   Taghizadeh, L., Morales Escalant, J., Stadlbauer, B., Heitzinger, C. (2018).
Bayesian Estimation for a Tomography Problem.
In In Proc. SIAM Conference on Uncertainty Quantification (UQ 2018) (p. 138), Garden Grove, CA, USA. (reposiTUm)

75.   Stadlbauer, B., Taghizadeh, L., Morales Escalant, J., Heitzinger, C., Cossettini, A., Selmi, L. (2018).
Bayesian Estimation for Transport Equations for Nanocapacitors.
In In Proc. SIAM Conference on Uncertainty Quantification (UQ 2018) (pp. 69–70), Garden Grove, CA, USA. (reposiTUm)

74.   Cossettini, A., Scarbolo, P., Morales Escalant, J., Stadlbauer, B., Naseer, M., Taghizadeh, L., Heitzinger, C., Selmi, L. (2018).
Calibration, Compensation, Parameter Estimation, and Uncertainty Quantification for Nanoelectrode Array Biosensors.
In In Proc. SIAM Conference on Uncertainty Quantification (UQ 2018) (p. 81), Garden Grove, CA, USA. (reposiTUm)

73.   Taghizadeh, L., Khodadadian, A., Heitzinger, C. (2018).
The Stochastic Drift-Diffusion-Poisson System for Modeling Nanowire and Nanopore Sensors.
In Progress in Industrial Mathematics at ECMI 2016 (pp. 309–317), Santiago de Compostela, Spanien. https://doi.org/10.1007/978-3-319-63082-3_48 (reposiTUm)

72.   Khodadadian, A., Taghizadeh, L., Heitzinger, C. (2017).
Optimal Multi-Level Monte Carlo Method for the Stochastic Drift-Diffusion-Poisson System.
In In Proc. 13th Austrian Numerical Analysis Day 2017 (p. 16), Salzburg, Austria. (reposiTUm)

71.   Taghizadeh, L., Khodadadian, A., Rigger, S., Heitzinger, C. (2017).
Optimal Multi-Level Monte-Carlo Methods for the Stochastic Drift-Diffusion-Poisson System and for Stochastic Homogenization.
In In Proc. 14th US National Congress on Computational Mechanics (USNCCM) (p. 321), Montreal, Canada. (reposiTUm)

70.   Taghizadeh, L., Khodadadian, A., Heitzinger, C. (2017).
Optimal Multi-Level Randomized-Quasi-Monte-Carlo Methods for the Stochastic Drift-Diffusion-Poisson System and for Stochastic Homogenization.
In In Proc. International Conference on Scientific Computation and Differential Equations (SciCADE 2017) (p. 129), Bath. (reposiTUm)

69.   Heitzinger, C., Khodadadian, A., Pammer, G., Rigger, S., Taghizadeh, L. (2017).
Optimal Numerical Methods for Stochastic PDEs.
In In Proc. SIAM Conference on Computational Science and Engineering (CSE 2017) (p. 129), Atlanta, GA, USA. (reposiTUm)

68.   Stadlbauer, B., Buttinger-Kreuzhuber, A., Mitscha-Eibl, G., Heitzinger, C. (2016).
Modeling the Expected Time to Reach the Recognition Element in Nanopore DNA Sequencing.
In Proc. SIAM Conference on Uncertainty Quantification (SIAM UQ16) (p. 4), Lausanne, Schweiz. (reposiTUm)

67.   Pammer, G., Heitzinger, C. (2016).
Non-Intrusive Stochastic Galerkin Method for the Stochastic Nonlinear Poisson-Boltzmann Equation.
In Proc. SIAM Conference on Uncertainty Quantification 2016 (SIAM UQ16) (p. 9), Lausanne, Schweiz. (reposiTUm)

66.   Geiersbach, C., Tulzer, G., Heitzinger, C. (2016).
Optimal Approach for the Calculation of Stochastically Homogenized Coefficients of Elliptic PDEs.
In Proc. SIAM Conference on Uncertainty Quantification 2016 (SIAM UQ16) (p. 124), Lausanne, Schweiz. (reposiTUm)

65.   Taghizadeh, L., Heitzinger, C. (2016).
Optimal Method for Calculating Solutions of the Stochastic Drift-Diffusion-Poisson System.
In Proc. SIAM Conference on Uncertainty Quantification 2016 (SIAM UQ16) (p. 9), Lausanne, Schweiz. (reposiTUm)

64.   Heitzinger, C., Geiersbach, C., Taghizadeh, L. (2016).
Optimal Numerical Approaches to the Stochastic Homogenization of Elliptic Equations and to the Stochastic Drift-Diffusion-Poisson System.
In Proc. SIAM Conference on Mathematical Aspects of Materials Science (MS16) (p. 136), Philadelphia. (reposiTUm)

63.   Taghizadeh, L., Khodadadian, A., Heitzinger, C. (2016).
Stochastic Modeling of Dopant Atoms in Nanoscale Transistors Using Multi-Level Monte Carlo.
In Proc. SIAM Conference on Uncertainty Quantification 2016 (SIAM UQ16) (p. 9), Lausanne, Schweiz. (reposiTUm)

62.   Taghizadeh, L., Heitzinger, C. (2016).
The Stochastic Drift-Diffusion-Poisson System and an Optimal Monte-Carlo Method.
In 19th European Conference on Mathematics for Industry (ECMI 2016) (pp. 309–317), Santiago de Compostela, Spanien. (reposiTUm)

61.   Heitzinger, C. (2016).
The Stochastic Drift-Diffusion-Poisson System and the Boltzmann-Poisson System.
In KI-Net Conference "Mean-Field Modeling and Multiscale Methods for Complex Physical and Biological Systems", University of California Santa Barbara (UCSB). (reposiTUm)

60.   Heitzinger, C. (2015).
Advances in Numerical Methods for Stochastic Partial Differential Equations and Stochastic Homogenization.
In Proc. New Directions in Numerical Computation: In Celebration of Nick Trefethen´s 60th Birthday (pp. 24–25), Oxford, UK. (reposiTUm)

59.   Heitzinger, C., Taghizadeh, L. (2015).
Existence and Uniqueness for the Stokes-Nernst-Planck-Drift-Diffusion-Poisson System for Modeling Nanowire Sensors and Nanopores.
In Proc. 24th International Conference on Transport Theory (ICTT 2015) (pp. 117–118), Taormina, Italien. (reposiTUm)

58.   Khodadadian, A., Heitzinger, C. (2015).
Ionic Currents Through Transmembrane Proteins Calculated by a Transport Equation for Confined Structures.
In Proc. 4th International Conference on Com- putational and Mathematical Biomedical Engineering (CMBE 2015) (pp. 460–463), Cachan, Frankreich. (reposiTUm)

57.   Tulzer, G., Heitzinger, C. (2015).
Noise and Fluctuations in Nanowire Biosensors.
In 8th Vienna International Conference on Mathematical Modelling (pp. 761–765), Wien, Austria. (reposiTUm)

56.   Mitscha-Eibl, G., Buttinger-Kreuzhuber, A., Tulzer, G., Heitzinger, C. (2015).
Nonlinear Coupling of the Drift-Diffusion-Poisson and Stokes Systems for Nanopore Simulations.
In Proc. 13th US National Congress on Computational Mechanics (p. 707), San Diego, CA. (reposiTUm)

55.   Taghizadeh, L., Geiersbach, C., Heitzinger, C. (2015).
Optimal Approach for the Numerical Stochastic Homogenization of Elliptic Problems.
In Proc. SIAM Conference on Analysis of Partial Differential Equations (SIAM PD15) (pp. 101–102), Scottsdale, AZ. (reposiTUm)

54.   Taghizadeh, L., Khodadadian, A., Heitzinger, C. (2015).
Optimal Multi- Level Monte-Carlo Method for a System of Stochastic PDEs.
In Proc. SIAM Conference on the Analysis of Partial Differential Equations (SIAM PD15) (pp. 76–77), Scottsdale, AZ. (reposiTUm)

53.   Khodadadian, A., Heitzinger, C. (2015).
The Signal-To-Noise Ratio Due to Biological Noise in Field-Effect Sensors Calculated Using the Stochastic Poisson Equation and Polynomial-Chaos Expansion.
In Proc. 13th US National Congress on Computational Mechanics (p. 501), San Diego, CA. (reposiTUm)

52.   Heitzinger, C., Taghizadeh, L. (2015).
The Stochastic Drift-Diffusion-Poisson System for Modeling Nanoscale Devices and a Multi-Level Monte-Carlo Method.
In Proc. 24th International Conference on Transport Theory (ICTT 2015) (pp. 115–116), Taormina, Italien. (reposiTUm)

51.   Heitzinger, C., Tulzer, G. (2014).
Julia and the Numerical Homogenization of PDEs.
In Proc. First Workshop for High Performance Technical Computing in Dynamic Languages (HPTCDL 2014) (pp. 36–40), New Orleans, LA. (reposiTUm)

50.   Tulzer, G., Heitzinger, C. (2014).
Monte-Carlo and Quasi-Monte-Carlo Approaches for the Numerical Stochastic Homogenization of Elliptic Partial Differential Equations..
In Proc. 11th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing (MCQMC2014) (p. 168), Leuven. (reposiTUm)

49.   Khodadadian, A., Heitzinger, C. (2014).
Quasi-Monte-Carlo Methods for the Linear and Nonlinear Stochastic Poisson-Boltzmann Equations..
In Proc. 11th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing (MCQMC2014) (p. 167), Leuven. (reposiTUm)

48.   Heitzinger, C. (2014).
The Stochastic Poisson and Poisson-Boltzmann Equations Applied to Quantifying Noise and Fluctuations in Nanoscale Sensors..
In Proc. 18th European Conference on Mathematics for Industry (ECMI 2014) (pp. 150–151), Taormina. (reposiTUm)

47.   Heitzinger, C., Ringhofer, C. (2014).
Transport in Confined Structures as a Multiscale Problem and Numerical Results for Nanopores..
In Proc. SIAM Annual Meeting 2014 (p. 6), Chicago. (reposiTUm)

46.  C. Heitzinger:
"Transport through confined structures as a multiscale problem.";
Talk: Oberwolfach Reports, Oberwolfach; 2014; in: "Oberwolfach Reports", (2014), 26 - 29.

45.   Heitzinger, C., Khodadadian, A. (2014).
Uncertainty Quantification in Nanowire Sensors Using the Stochastic Nonlinear Poisson-Boltzmann Equation..
In Proc. SIAM Conference on Uncertainty Quantification (SIAM UQ14) (p. 87), Savannah. (reposiTUm)

44.   Khodadadian, A., Heitzinger, C. (2014).
Using the Stochastic Poisson-Boltzmann Equation to Quantify Noise in Nanowire Bio- And Gas Sensors..
In 11th World Congress on Computational Mechanics (WCCM XI) (p. A4187/1-2), Barcelona. (reposiTUm)

43.   Tulzer, G., Heitzinger, C. (2014).
Various Strategies for the Numerical Stochastic Homogenization of the Stochastic Poisson and Helmholtz Equations..
In Proc. SIAM Annual Meeting 2014 (p. 15), Chicago. (reposiTUm)

42.   Windbacher, T., Sverdlov, V., Selberherr, S., Heitzinger, C., Mauser, N., Ringhofer, C. (2009).
Study of the Properties of Biotin-Streptavidin Sensitive BioFETs.
In Proceedings of the International Conference on Biomedical Electronics and Devices (BIODEVICES) (pp. 24–30), Porto. (reposiTUm)

41.   Windbacher, T., Sverdlov, V., Selberherr, S., Heitzinger, C., Mauser, N., Ringhofer, C. (2009).
Study of the Properties of Biotin-Streptavidin Sensitive Biofets.
In Final Program and Book of Abstracts (p. 42), Porto. (reposiTUm)

40.   Windbacher, T., Sverdlov, V., Selberherr, S., Heitzinger, C. (2008).
A General Bottom-Up Modeling Approach for BioFETs.
In Abstracts Conf.on Nanosensors for Industrial Applications (NANOSENS), Vienna, Austria. (reposiTUm)

39.   Windbacher, T., Sverdlov, V., Selberherr, S., Heitzinger, C., Mauser, N., Ringhofer, C. (2008).
Simulation of Field-Effect Biosensors (BioFETs) for Biotin-Streptavidin Complexes.
In PHYSICS OF SEMICONDUCTORS: 29th International Conference on the Physics of Semiconductors (pp. 507–508), Wien, Österreich, Austria. (reposiTUm)

38.   Windbacher, T., Sverdlov, V., Selberherr, S., Heitzinger, C., Mauser, N., Ringhofer, C. (2008).
Simulation of Field-Effect Biosensors (BioFETs).
In 2008 International Conference on Simulation of Semiconductor Processes and Devices, Kanagawa, Japan. https://doi.org/10.1109/sispad.2008.4648270 (reposiTUm)

37.   Ertl, O., Heitzinger, C., Selberherr, S. (2007).
Efficient Coupling of Monte Carlo and Level Set Methods for Topography Simulation.
In Simulation of Semiconductor Processes and Devices 2007 (pp. 417–420), Vienna, Austria. https://doi.org/10.1007/978-3-211-72861-1_101 (reposiTUm)

36.   Heitzinger, C., Ringhofer, C., Selberherr, S. (2007).
Investigations of the Potential Jump at the Surface of BioFETs Using a Multi-Scale Model.
In 211th ECS Meeting, Chicago. (reposiTUm)

35.   Sheikholeslami, A., Heinzl, R., Holzer, S., Heitzinger, C., Spevak, M., Leicht, M., Häberlen, O., Fugger, J., Badrieh, F., Parhami, F., Puchner, H., Grasser, T., Selberherr, S. (2006).
Applications of Two- And Three-Dimensional General Topography Simulator in Semiconductor Manufacturing Processes.
In Proceedings of the 14th Iranian Conference on Electrical Engineering ICEE 2006 (p. 4), Tehran. (reposiTUm)

34.   Sheikholeslami, A., Parhami, F., Heinzl, R., Al-Ani, E., Heitzinger, C., Badrieh, F., Puchner, H., Grasser, T., Selberherr, S. (2005).
Applications of Three-Dimensional Topography Simulation in the Design of Interconnect Lines.
In 2005 International Conference On Simulation of Semiconductor Processes and Devices, Tokyo, Japan. https://doi.org/10.1109/sispad.2005.201504 (reposiTUm)

33.   Sheikholeslami, A., Holzer, S., Heitzinger, C., Leicht, M., Häberlen, O., Fugger, J., Grasser, T., Selberherr, S. (2005).
Inverse Modeling of Oxid Deposition Using Measurements of a TEOS CVD Process.
In 2005 PhD Research in Microelectronics and Electronics (pp. 279–282), Lausanne, Austria. (reposiTUm)

32.   Sheikholeslami, A., Al-Ani, E., Heinzl, R., Heitzinger, C., Parhami, F., Badrieh, F., Puchner, H., Grasser, T., Selberherr, S. (2005).
Level Set Method Based General Topography Simulator and Its Application in Interconnect Processes.
In ULIS 2005 6th International Conference on Ultimate Integration of Silicon (pp. 139–142), Bologna, Austria. (reposiTUm)

31.   Heitzinger, C., Sheikholeslami, A., Fugger, J., Häberlen, O., Leicht, M., Selberherr, S. (2004).
A Case Study in Predictive Three-Dimensional Topography Simulation Based on a Level-Set Algorithm.
In 205th ECS Meeting (pp. 132–142), San Antonio, Austria. (reposiTUm)

30.  C. Heitzinger, Ch. Ringhofer, S. Ahmed, D. Vasileska:
"Accurate Three-Dimensional Simulation of Electron Mobility Including Electron-Electron and Electron-Dopant Interactions";
Talk: Meeting of the Electrochemical Society (ECS), Honolulu; 2004-10-03 - 2004-10-08; in: "Proc. 206th Meeting of the Electrochemical Society", (2004).

29.  C. Heitzinger, Ch. Ringhofer, S. Ahmed, D. Vasileska:
"Efficient Simulation of the Full Coulomb Interaction in Three Dimensions";
Talk: International Workshop on Computational Electronics (IWCE), West Lafayette, IN, USA; 2004-10-24 - 2004-10-27; in: "Book of Abstracts of the International Workshop on Computational Electronics (IWCE)", (2004), ISBN: 0-7803-8649-3; 24 - 25. https://doi.org/10.1109/IWCE.2004.1407300

28.   Heitzinger, C., Ringhofer, C., Ahmed, S., Vasileska, D. (2004).
On the Efficient Simulation of Electron-Electron Interactions in Nanoscale MOSFETs.
In Proceedings Trends in Nanotechnology 2004, Segovia, Austria. (reposiTUm)

27.  S. Holzer, A. Sheikholeslami, S. Wagner, C. Heitzinger, T. Grasser, S. Selberherr:
"Optimization and Inverse Modeling for TCAD Applications";
Talk: Symposium on Nano Device Technology (SNDT), Hsinchu; 2004-05-12 - 2004-05-13; in: "Proceedings of the Symposium on Nano Device Technology", (2004), 113 - 116.

26.   Sheikholeslami, A., Heitzinger, C., Al-Ani, E., Heinzl, R., Grasser, T., Selberherr, S. (2004).
Three-Dimensional Surface Evolution Using a Level Set Method.
In Proceedings of the Iranian Ph.D. Students Seminar on Computer Science, Mathematics and Statistics (ICSMS), Paris, Austria. (reposiTUm)

25.  A. Sheikholeslami, C. Heitzinger, F. Badrieh, H. Puchner, S. Selberherr:
"Three-Dimensional Topography Simulation Based on a Level Set Method";
Talk: International Spring Seminar on Electronics Technology (ISSE), Sofia; 2004-05-13 - 2004-05-16; in: "Proceedings IEEE International Spring Seminar on Electronics Technology 27th ISSE 2004", IEEE, 2 (2004), ISBN: 0-7803-8422-9; 263 - 265.

24.  A. Sheikholeslami, C. Heitzinger, T. Grasser, S. Selberherr:
"Three-Dimensional Topography Simulation for Deposition and Etching Processes Using a Level Set Method";
Talk: International Conference on Microelectronics (MIEL), Nis; 2004-05-16 - 2004-05-19; in: "Proceedings of the International Conference on Microelectronics (MIEL)", (2004), ISBN: 0-7803-8166-1; 241 - 244. https://doi.org/10.1109/ICMEL.2004.1314606

23.  A. Sheikholeslami, C. Heitzinger, S. Selberherr:
"A Method for Generating Structurally Aligned Grids Using a Level Set Approach";
Talk: European Simulation Multiconference (ESM), Nottingham; 2003-06-09 - 2003-06-11; in: "Proc. 17th European Simulation Multiconference: Modelling and Simulation", (2003), ISBN: 3-936150-25-7; 496 - 501.

22.  C. Heitzinger, A. Sheikholeslami, J.M. Park, S. Selberherr:
"A Method for Generating Structurally Aligned High Quality Grids and its Application to the Simulation of a Trench Gate MOSFET";
Poster: European Solid-State Device Research Conference (ESSDERC), Estoril; 2003-09-16 - 2003-09-18; in: "Proceedings of the European Solid-State Device Research Conference (ESSDERC)", (2003), ISBN: 0-7803-7999-3; 457 - 460.

21.  C. Heitzinger, A. Hössinger, S. Selberherr:
"An Algorithm for Smoothing Three-Dimensional Monte Carlo Ion Implantation Simulation Results";
Talk: International Symposium on Mathematical Modeling (MATHMOD), Wien; 2003-02-05 - 2003-02-07; in: "4th IMACS Symposium on Mathematical Modelling", (2003), ISBN: 3-901608-24-9; 702 - 711.

20.  W. Wessner, H. Ceric, C. Heitzinger, A. Hössinger, S. Selberherr:
"Anisotropic Mesh Adaption Governed by a Hessian Matrix Metric";
Talk: European Simulation Symposium (ESS), Delft; 2003-10-26 - 2003-10-29; in: "Simulation in Industry, 15th European Simulation Symposium", (2003), ISBN: 3-936150-28-1; 41 - 46.

19.  A. Sheikholeslami, C. Heitzinger, S. Selberherr, F. Badrieh, H. Puchner:
"Capacitances in the Backend of a 100nm CMOS Process and their Predictive Simulation";
Poster: Informationstagung Mikroelektronik (ME), Wien; 2003-10-01 - 2003-10-02; in: "Beiträge der Informationstagung Mikroelektronik 2003", (2003), ISBN: 3-85133-030-7; 481 - 486.

18.  W. Wessner, C. Heitzinger, A. Hössinger, S. Selberherr:
"Error Estimated Driven Anisotropic Mesh Refinement for Three-Dimensional Diffusion Simulation";
Talk: International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), Cambridge, MA, USA; 2003-09-03 - 2003-09-05; in: "Proceedings of the International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)", (2003), ISBN: 0-7803-7826-1; 109 - 112. https://doi.org/10.1109/SISPAD.2003.1233649

17.  S. Holzer, R. Minixhofer, C. Heitzinger, J. Fellner, T. Grasser, S. Selberherr:
"Extraction of Material Parameters Based on Inverse Modeling of Three-Dimensional Interconnect Structures";
Talk: Workshop on Thermal Investigations of ICs and Systems (THERMINIC), Aix-en-Provence; 2003-09-24 - 2003-09-26; in: "International Workshop on Thermal Investigations of ICs and Systems", (2003), ISBN: 2-848-130202; 263 - 268.

16.  C. Heitzinger, A. Sheikholeslami, F. Badrieh, H. Puchner, S. Selberherr:
"Feature Scale Simulation of Advanced Etching Processes";
Talk: Meeting of the Electrochemical Society, Physical Electrochemistry, Orlando; 2003-10-12 - 2003-10-16; in: "204th ECS Meeting", (2003), ISBN: 1-56677-398-9; 1259.

15.  F. Badrieh, H. Puchner, C. Heitzinger, A. Sheikholeslami, S. Selberherr:
"From Feature Scale Simulation to Backend Simulation for a 100nm CMOS Process";
Poster: European Solid-State Device Research Conference (ESSDERC), Estoril; 2003-09-16 - 2003-09-18; in: "Proceedings of the European Solid-State Device Research Conference (ESSDERC)", (2003), ISBN: 0-7803-7999-3; 441 - 444.

14.  R. Minixhofer, S. Holzer, C. Heitzinger, J. Fellner, T. Grasser, S. Selberherr:
"Optimization of Electrothermal Material Parameters Using Inverse Modeling";
Talk: European Solid-State Device Research Conference (ESSDERC), Estoril; 2003-09-16 - 2003-09-18; in: "Proceedings of the European Solid-State Device Research Conference (ESSDERC)", (2003), ISBN: 0-7803-7999-3; 363 - 366.

13.  C. Heitzinger, A. Sheikholeslami, H. Puchner, S. Selberherr:
"Predictive Simulation of Void Formation During the Deposition of Silicon Nitride and Silicon Dioxide Films";
Talk: Meeting of the Electrochemical Society (ECS), Paris; 2003-04-26 - 2003-05-02; in: "203rd ECS Meeting", (2003), ISBN: 1-56677-347-4; 356 - 365.

12.  C. Heitzinger, S. Selberherr:
"A Calibrated Model for Silicon Self-Interstitial Cluster Formation and Dissolution";
Talk: International Conference on Microelectronics (MIEL), Nis; 2002-05-12 - 2002-05-15; in: "Proceedings of the International Conference on Microelectronics (MIEL)", 2 (2002), 431 - 434. https://doi.org/10.1109/MIEL.2002.1003291

11.  T. Grasser, H. Kosina, C. Heitzinger, S. Selberherr:
"An Impact Ionization Model Including an Explicit Cold Carrier Population";
Talk: International Conference on Modeling and Simulation of Microsystems (MSM), San Juan; 2002-04-21 - 2002-04-25; in: "Technical Proceedings of the Fifth International Conference on Modeling and Simulation of Microsystems", (2002), ISBN: 0-9708275-7-1; 572 - 575.

10.  C. Heitzinger, S. Selberherr, J. Fugger, O. Häberlen:
"On Increasing the Accuracy of Simulations of Deposition and Etching Processes Using Radiosity and the Level Set Method";
Talk: European Solid-State Device Research Conference (ESSDERC), Florence; 2002-09-24 - 2002-09-26; in: "Proceedings of the European Solid-State Device Research Conference (ESSDERC)", (2002), ISBN: 88-900847-8-2; 347 - 350.

9.  C. Heitzinger, S. Selberherr:
"On the Topography Simulation of Memory Cell Trenches for Semiconductor Manufacturing Deposition Processes Using the Level Set Method";
Talk: European Simulation Multiconference (ESM), Darmstadt; 2002-06-03 - 2002-06-05; in: "16th European Simulation Multiconference", (2002), ISBN: 90-77039-07-4; 653 - 660.

8.  C. Heitzinger, A. Sheikholeslami, S. Selberherr:
"Predictive Simulation of Etching and Deposition Processes Using the Level Set Method";
Poster: International Workshop on Challenges in Predictive Process Simulation (ChiPPS), Prague; 2002-10-13 - 2002-10-17; in: "ChiPPS-2002 Challenges in Predictive Process Simulation", (2002), 65 - 66.

7.  C. Heitzinger, J. Fugger, O. Häberlen, S. Selberherr:
"Simulation and Inverse Modeling of TEOS Deposition Processes Using a Fast Level Set Method";
Poster: International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), Kobe, Japan; 2002-09-04 - 2002-09-06; in: "Proceedings of the International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)", (2002), ISBN: 4-89114-027-5; 191 - 194. https://doi.org/10.1109/SISPAD.2002.1034549

6.  T. Binder, C. Heitzinger, S. Selberherr:
"A Qualitative Study on Global and Local Optimization Techniques for TCAD Analysis Tasks";
Talk: International Conference on Modeling and Simulation of Microsystems (MSM), Hilton Head Island; 2001-03-19 - 2001-03-21; in: "Technical Proceedings of the Fourth International Conference on Modeling and Simulation of Microsystems", (2001), ISBN: 0-9708275-0-4; 466 - 469.

5.  W. Pyka, C. Heitzinger, N. Tamaoki, T. Takase, T. Ohmine, S. Selberherr:
"Monitoring Arsenic In-Situ Doping with Advanced Models for Poly-Silicon CVD";
Talk: International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), Athens, Greece; 2001-09-05 - 2001-09-07; in: "Proceedings of the International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)", (2001), ISBN: 3-211-83708-6; 124 - 127. https://doi.org/10.1007/978-3-7091-6244-6_27

4.  C. Heitzinger, S. Selberherr:
"Optimization for TCAD Purposes Using Bernstein Polynomials";
Poster: International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), Athens, Greece; 2001-09-05 - 2001-09-07; in: "Proceedings of the International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)", (2001), ISBN: 3-211-83708-6; 420 - 423. https://doi.org/10.1007/978-3-7091-6244-6_97

3.  C. Heitzinger, T. Binder, S. Selberherr:
"Parallel TCAD Optimization and Parameter Extraction for Computationally Expensive Objective Functions";
Talk: European Simulation Multiconference (ESM), Prag; 2001-06-06 - 2001-06-09; in: "Proceedings European Simulation Multiconference ESM 2001", (2001), ISBN: 1-56555-225-3; 534 - 538.

2.  A. Gehring, C. Heitzinger, T. Grasser, S. Selberherr:
"TCAD Analysis of Gain Cell Retention Time for SRAM Applications";
Poster: International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), Athens, Greece; 2001-09-05 - 2001-09-07; in: "Proceedings of the International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)", (2001), ISBN: 3-211-83708-6; 416 - 419. https://doi.org/10.1007/978-3-7091-6244-6_96

1.   Heitzinger, C., Selberherr, S. (2000).
Extensible TCAD Optimization Framework Combining Gradient-Based and Genetic Optimizers.
In Design, Modeling, and Simulation in Microelectronics (pp. 279–289), Singapur, Singapore. https://doi.org/10.1117/12.405424 (reposiTUm)

Talks and Poster Presentations (without Proceedings-Entry)

16.   Heitzinger, C. (2016).
Julia and Partial Differential Equations: Being Faster Than M*TL*B.
JuliaCon 2016, Boston, MA, Non-EU. (reposiTUm)

15.   Heitzinger, C. (2016).
Stochastic PDEs for Rational Design in Nanotechnology.
Invited seminar talk at Purdue University, West Lafayette, IN, Non-EU. (reposiTUm)

14.   Heitzinger, C. (2016).
Stochastic PDEs, Multiscale Problems, and Optimal Numerical Methods.
Invited seminar talk at the University of Southern California (USC), University of Southern California, Non-EU. (reposiTUm)

13.   Heitzinger, C. (2016).
Stochastic Partial Differential Equations With Applications in Nanotechnology.
Invited seminar talk at the Department of Mathematics, University of Wisconsin Madison, Madison, WI, Non-EU. (reposiTUm)

12.   Heitzinger, C. (2016).
Stochastic Simulation of Nanowire and Nanopore Sensors.
Invited seminar talk in the Condensed Matter and Biological Physics Seminar, Department of Physcis, Brown University, Providence, RI, Non-EU. (reposiTUm)

11.   Heitzinger, C. (2016).
Using Stochastic Partial Differential Equations to Model Noise, Fluctuations, and Process Variations in Nanoscale Devices.
Seventh European SiNano Summer School, Bertinoro, Italy, EU. (reposiTUm)

10.   Heitzinger, C. (2015).
Deterministic and Stochastic PDEs Applied to the Simulation of Nanotechnological Devices.
Invited seminar talk in the Seminario de Matemática Aplicada at the Departamento Matemática Aplicada at the Universidad Complutense de Madrid, Madrid, Spanien, EU. (reposiTUm)

9.   Heitzinger, C. (2015).
Mathematics and Medicine.
Invited seminar presentation at the Department for Hospital Hygiene and Infection Control, Medical University of Vienna, Medizinsche Universität Wien, Austria. (reposiTUm)

8.   Heitzinger, C. (2015).
Multiscale Problems in Nanotechnology.
Winter 2015 Workshop of the FWF Doktoratskolleg Dissipation and Dispersion in Nonlinear PDEs, Rust, Österreich, Austria. (reposiTUm)

7.   Heitzinger, C. (2015).
Stochastic Partial Differential Equations, Multiscale Problems, and Applications in Nanotechnology.
Invited seminar presentation at TU Braunschweig, Braunschweig, Deutschland, EU. (reposiTUm)

6.   Heitzinger, C. (2015).
Was Machen Mit All Den Daten? Mathematik Und Medizin.
Invited presentation at the ANISS/ASDI Meeting at the Austrian Federal Ministry of Health (Bundesministerium für Gesundheit), Wien, Austria. (reposiTUm)

5.   Heitzinger, C. (2014).
Deterministic and Stochastic Multiscale Problems Arising From Nanoscale Sensors.
11th World Congress on Computational Mechanics (WCCM XI), Barcelona, EU. (reposiTUm)

4.   Tulzer, G., Heitzinger, C. (2014).
Simulation of Fluctuations and Noise in Nanoscale Sensors.
5th International Congress on Nanotechnology in Medicine and Biology (BioNanoMed 2014), Krems, Österreich, Austria. (reposiTUm)

3.   Heitzinger, C. (2014).
Transport Equations for Confined Structures Derived From the Boltzmann Equation.
KI-Net Workshop “Mathematical and Numerical Methods for Complex Quantum Systems,” Chicago, IL, Non-EU. (reposiTUm)

2.   Sheikholeslami, A., Heitzinger, C., Puchner, H., Badrieh, F., Selberherr, S. (2003).
Simulation of Void Formation in Interconnect Lines.
SPIE VLSI Circuits and Systems, Sevilla, Spain, Austria. (reposiTUm)

1.   Heitzinger, C., Selberherr, S. (2000).
An Extensible TCAD Optimization Framework Combining Gradient Based and Genetic Optimizers.
SPIE Design, Modeling, and Simulation in Microelectronics, Singapur, Austria. (reposiTUm)

Habilitation Theses

1.   Heitzinger, C. (2009).
Modeling and Simulation in Bio- And Nanotechnology
 Technische Universität Wien. (reposiTUm)

Doctor's Theses (authored and supervised)

4.   Blankrot, B. (2020).
Deterministic and Robust Optimization of Complex Nanoscale Photonic Structures
 Technische Universität Wien. https://doi.org/10.34726/hss.2020.47661 (reposiTUm)

3.   Taghizadeh, L. (2019).
Stochastic PDEs for Modeling Transport in Nanoscale Devices
 Technische Universität Wien. https://doi.org/10.34726/hss.2019.21782 (reposiTUm)

2.   Tulzer, G. (2015).
Modeling and Simulation of Surface Processes at Nanoscale Sensors
 Technische Universität Wien. https://doi.org/10.34726/hss.2015.29460 (reposiTUm)

1.  C. Heitzinger:
"Simulation and Inverse Modeling of Semiconductor Manufacturing Processes";
Supervisor, Reviewer: S. Selberherr, R. Chabicovsky; Institut für Mikroelektronik, 2002; oral examination: 2002-12-20. https://doi.org/10.34726/hss.2002.03696962

Diploma and Master Theses (authored and supervised)

11.   Kietreiber, T. (2023).
Combining Maximum Entropy Reinforcement Learning With Distributional Q-Value Approximation Methods : At the Example of Autonomous Driving
 Technische Universität Wien. https://doi.org/10.34726/hss.2023.111501 (reposiTUm)

10.   Wagner, F. (2023).
Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement Learning
 Technische Universität Wien. https://doi.org/10.34726/hss.2023.110322 (reposiTUm)

9.   Salzer, T. (2023).
Reinforcement Learning for Games With Imperfect Information – Teaching an Agent the Game of Schnapsen
 Technische Universität Wien. https://doi.org/10.34726/hss.2023.86961 (reposiTUm)

8.   Bittner, S. M. (2023).
The Vapnik-Chervonenkis Dimensions of Different Neural Network Architectures
 Technische Universität Wien. https://doi.org/10.34726/hss.2023.112693 (reposiTUm)

7.   Malle, J. (2021).
Fuzzy Clustering: An Application to Distributional Reinforcement Learning
 Technische Universität Wien. https://doi.org/10.34726/hss.2021.86783 (reposiTUm)

6.   Etl, C. (2019).
Sequence Reconstruction in Nanopore Sequencing
 Technische Universität Wien. https://doi.org/10.34726/hss.2019.63429 (reposiTUm)

5.   Stadlbauer, B. (2018).
Fast Algorithms for Iterative Bayesian PDE Inversion
 Technische Universität Wien. https://doi.org/10.34726/hss.2018.56613 (reposiTUm)

4.   Rigger, S. (2017).
High-Dimensional Integration: Cubature Formulas for Multisymmetric Functions
 Technische Universität Wien. https://doi.org/10.34726/hss.2017.48500 (reposiTUm)

3.   Geiersbach, C. (2016).
Error Estimates and Optimal Approaches to the Stochastic Homogenization in Elliptic Partial Differential Equations
 Technische Universität Wien. https://doi.org/10.34726/hss.2016.33629 (reposiTUm)

2.   Buttinger-Kreuzhuber, A. (2016).
Simulation of the Flow Through Nanopores
 Technische Universität Wien. https://doi.org/10.34726/hss.2016.33104 (reposiTUm)

1.  C. Heitzinger:
"Transport through confined structures as a multiscale problem";
Talk: Oberwolfach workshop on Computational Multiscale Methods (Workshop 1426), Oberwolfach, Deutschland (invited); 2014-06-23 - 2014-06-28.

Scientific Reports

5.   Gehring, A., Heitzinger, C., Hössinger, A., Ungersböck, S. E., Wessner, W., Selberherr, S. (2003).
VISTA Status Report December 2003.
(reposiTUm)

4.   Gritsch, M., Heitzinger, C., Park, J. M., Klima, R., Rodriguez-Torres, R., Selberherr, S. (2002).
VISTA Status Report June 2002.
(reposiTUm)

3.   Grasser, T., Gritsch, M., Heitzinger, C., Hössinger, A., Selberherr, S. (2001).
VISTA Status Report December 2001.
(reposiTUm)

2.   Binder, T., Cervenka, J., Gehring, A., Harlander, C., Heitzinger, C., Selberherr, S. (2001).
VISTA Status Report June 2001.
(reposiTUm)

1.   Binder, T., Gritsch, M., Heitzinger, C., Palankovski, V., Selberherr, S. (2000).
VISTA Status Report December 2000.
(reposiTUm)

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