Mohammadi, N., Abbaszadeh, M., Dehghan, M., & Heitzinger, C. (2024). Parameter identification of shallow water waves using the generalized equal width equation and physics-informed neural networks: a conservative approximation scheme. Nonlinear Dynamics. https://doi.org/10.1007/s11071-024-10497-y ( reposiTUm)

Kapral, L., Dibiasi, C., Jeremic, N., Bartos, S., Behrens, S., Bilir, A., Heitzinger, C., & Kimberger, O. (2024). Development and external validation of temporal fusion transformer models for continuous intraoperative blood pressure forecasting. EClinicalMedicine, 75, Article 102797. https://doi.org/10.1016/j.eclinm.2024.102797 ( reposiTUm)

Ruzicka, L., Strobl, B., Bergmann, S., Nolden, G., Michalsky, T., Domscheit, C., Priesnitz, J., Blümel, F., Kohn, B., & Heitzinger, C. (2024). Toward Synthetic Physical Fingerprint Targets. Sensors, 24(9), Article 2847. https://doi.org/10.3390/s24092847 ( reposiTUm)

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)

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)

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)

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)

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)

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)

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)

Tomeva, E., Switzeny, O. J., 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)

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)

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)

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), Article 113489. https://doi.org/10.1016/j.cma.2020.113489 ( reposiTUm)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Taghizadeh, L., Karimi, A., Presterl, E., & Heitzinger, C. (2020). Bayesian inversion for a biofilm model including quorum sensing. Computers in Biology and Medicine, 117, Article 103582. https://doi.org/10.1016/j.compbiomed.2019.103582 ( reposiTUm)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Heitzinger, C., Leumüller, M., Pammer, G., & Rigger, S. (2018). Existence, Uniqueness, and a Comparison of Nonintrusive Methods for the Stochastic Nonlinear Poisson--Boltzmann Equation. SIAM/ASA Journal on Uncertainty Quantification, 6(3), 1019–1042. https://doi.org/10.1137/17m1127375 ( reposiTUm)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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, 524–532. https://doi.org/10.1007/s10825-015-0680-6 ( reposiTUm)

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)

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)

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)

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)

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)

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)

Lorang, P., Horvath, H., Kietreiber, T., Zips, P., Heitzinger, C., & Scheutz, M. (2024). Adapting to the “Open World”: The Utility of Hybrid Hierarchical Reinforcement Learning and Symbolic Planning. In 2024 IEEE International Conference on Robotics and Automation (ICRA) (pp. 508–514). https://doi.org/10.1109/ICRA57147.2024.10611594 ( reposiTUm)

Freiin von Tubeuf, C. S., aus der Schmitten, J., Hofmann, R., Heitzinger, C., & Birkelbach, F. (2024). Improving Control of Energy Systems With Reinforcement Learning: Application to a Reversible Pump Turbine. In Proceedings of the ASME 2024 18th International Conference on Energy Sustainability ES2024. 18th International Conference on Energy Sustainability (ASME ES 2024), Anaheim, United States of America (the). https://doi.org/10.1115/ES2024-122475 ( reposiTUm)

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 P. Do, G. Michau, & C. Ezhilarasu (Eds.), Proceedings of the 7th European Conference of the Prognostics and Health Management Society 202 (pp. 200–210). PHM Society. https://doi.org/10.36001/phme.2022.v7i1.3349 ( reposiTUm)

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). SIAM Conference on Computational Science and Engineering (CSE21), Austria. SIAM. http://hdl.handle.net/20.500.12708/41811 ( reposiTUm)

Lenzi, E. K., Evangelista, L. R., Taghizadeh, L., Pasterk, D., Zola, R. S., 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). http://hdl.handle.net/20.500.12708/41741 ( reposiTUm)

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). SIAM Conference on Uncertainty Quantification (UQ 2020), Munich, Germany. http://hdl.handle.net/20.500.12708/41742 ( reposiTUm)

Taghizadeh, L., Heitzinger, C., Kaniusas, E., & Wenninger, W. J. (2019). Progress in electrical-impedance tomography. In Vienna Center for Engineering and Medicine (ViCEM) Biennial Meeting. Vienna Center for Engineering and Medicine (ViCEM) Biennial Meeting, Vienna, Austria, Austria. http://hdl.handle.net/20.500.12708/41743 ( reposiTUm)

Cossettini, A., Stadlbauer, B., Morales Escalant, J. A., 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. IEEE Sensors 2019, Montreal, Canada. https://doi.org/10.1109/sensors43011.2019.8956529 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41736 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41738 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41739 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41737 ( reposiTUm)

Blankrot, B., & Heitzinger, C. (2019). Efficiently optimizing inclusion rotation angle for maximal power flow. In M. Kaltenbacher, J. M. Melenk, L. Nannen, & F. Toth (Eds.), Proceedings of the 14th International Conference on Mathematical and Numerical Aspects of Wave Propagation (pp. 480–481). Proceedings of the 14th International Conference on Mathematical and Numerical Aspects of Wave Propagation. http://hdl.handle.net/20.500.12708/41760 ( reposiTUm)

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

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). Progress in Industrial Mathematics, Springer. https://doi.org/10.1007/978-3-319-63082-3_48 ( reposiTUm)

Heitzinger, C., Morales Escalant, J. A., 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. Workshop on Research Challenges and Opportunities at the interface of Machine Learning and Uncertainty Quantification, Los Angeles, United States of America (the). http://hdl.handle.net/20.500.12708/41735 ( reposiTUm)

Stadlbauer, B., Taghizadeh, L., Morales Escalant, J. A., 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). http://hdl.handle.net/20.500.12708/41734 ( reposiTUm)

Cossettini, A., Scarbolo, P., Morales Escalant, J. A., 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). http://hdl.handle.net/20.500.12708/41733 ( reposiTUm)

Taghizadeh, L., Morales Escalant, J. A., Stadlbauer, B., & Heitzinger, C. (2018). Bayesian estimation for a tomography problem. In In Proc. SIAM Conference on Uncertainty Quantification (UQ 2018) (p. 138). http://hdl.handle.net/20.500.12708/41732 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41729 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41731 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41728 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41730 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41512 ( reposiTUm)

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.” KI-Net Conference “Mean-Field Modeling and Multiscale Methods for Complex Physical and Biological Systems,” University of California Santa Barbara (UCSB), United States of America (the). http://hdl.handle.net/20.500.12708/41511 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41518 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41517 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41513 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41514 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41515 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41516 ( reposiTUm)

Tulzer, G., & Heitzinger, C. (2015). Noise and fluctuations in nanowire biosensors. In 8th Vienna International Conference on Mathematical Modelling (pp. 761–765). IFAC-PapersOnLine. http://hdl.handle.net/20.500.12708/41527 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41522 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41523 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41526 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41521 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41519 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41524 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41520 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41525 ( reposiTUm)

Heitzinger, C., Khodadadian, A., & Ringhofer, C. (2014). Transport through confined structures as a multiscale problem. In C. Carstensen, B. Engquist, & D. Peterseim (Eds.), Computational Multiscale Methods (pp. 26–29). EMS Press. http://hdl.handle.net/20.500.12708/41386 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41379 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41378 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41383 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41380 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41381 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41382 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41377 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/41528 ( reposiTUm)

Windbacher, T., Sverdlov, V., Selberherr, S., Heitzinger, C., Mauser, N., & Ringhofer, Ch. (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). http://hdl.handle.net/20.500.12708/71321 ( reposiTUm)

Windbacher, T., Sverdlov, V., Selberherr, S., Heitzinger, C., Mauser, N., & Ringhofer, Ch. (2009). Study of the Properties of Biotin-Streptavidin Sensitive Biofets. In Final Program and Book of Abstracts (p. 42). http://hdl.handle.net/20.500.12708/70726 ( reposiTUm)

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). 2. Internationale Konferenz NanoSens2008, Vienna, Austria. http://hdl.handle.net/20.500.12708/70466 ( reposiTUm)

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. 2008 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), Kanagawa, Japan. IEEE. https://doi.org/10.1109/sispad.2008.4648270 ( reposiTUm)

Windbacher, T., Sverdlov, V., Selberherr, S., Heitzinger, C., Mauser, N., & Ringhofer, Ch. (2008). Simulation of Field-Effect Biosensors (BioFETs) for Biotin-Streptavidin Complexes. In PHYSICS OF SEMICONDUCTORS: 29#^{th} International Conference on the Physics of Semiconductors (pp. 507–508). http://hdl.handle.net/20.500.12708/71358 ( reposiTUm)

Heitzinger, C., Ringhofer, Ch., & Selberherr, S. (2007). Investigations of the Potential Jump at the Surface of BioFETs Using a Multi-scale Model. In 211#^{th} ECS Meeting. Meeting of the Electrochemical Society, Multi-Scale Simulations of Electrochemical Systems, Chicago, Non-EU. http://hdl.handle.net/20.500.12708/69845 ( reposiTUm)

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

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 14#^{th} Iranian Conference on Electrical Engineering ICEE 2006 (p. 4). http://hdl.handle.net/20.500.12708/69060 ( reposiTUm)

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. 2005 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), Tokyo, Japan. IEEE. https://doi.org/10.1109/sispad.2005.201504 ( reposiTUm)

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 6#^{th} International Conference on Ultimate Integration of Silicon (pp. 139–142). http://hdl.handle.net/20.500.12708/68462 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/68518 ( reposiTUm)

Heitzinger, C., Ringhofer, Ch., Ahmed, S., & Vasileska, D. (2004). On the Efficient Simulation of Electron-Electron Interactions in Nanoscale MOSFETs. In Proceedings Trends in Nanotechnology 2004. Trends in Nanotechnology Conference (TNT), Segovia, Austria. http://hdl.handle.net/20.500.12708/68458 ( reposiTUm)

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). Iranian Ph.D. Students Seminar on Computer Science, Mathematics and Statistics (ICSMS), Paris, Austria. http://hdl.handle.net/20.500.12708/68457 ( reposiTUm)

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 205#^{th} ECS Meeting (pp. 132–142). http://hdl.handle.net/20.500.12708/68427 ( reposiTUm)

Heitzinger, C., & Selberherr, S. (2000). Extensible TCAD optimization framework combining gradient-based and genetic optimizers. In B. Courtois, S. N. Demidenko, & L. Y. Lau (Eds.), Design, Modeling, and Simulation in Microelectronics (pp. 279–289). SPIE. https://doi.org/10.1117/12.405424 ( reposiTUm)

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)

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)

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. http://hdl.handle.net/20.500.12708/121814 ( reposiTUm)

Heitzinger, C. (2016). Stochastic partial differential equations with applications in nanotechnology. Invited seminar talk at the Department of Mathematics, University of Wisconsin Madison, Madison, United States of America (the). http://hdl.handle.net/20.500.12708/121813 ( reposiTUm)

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, United States of America (the). http://hdl.handle.net/20.500.12708/121816 ( reposiTUm)

Heitzinger, C. (2016). Stochastic PDEs for rational design in nanotechnology. Invited seminar talk at Purdue University, Indiana, United States of America (the). http://hdl.handle.net/20.500.12708/121812 ( reposiTUm)

Heitzinger, C. (2016). Stochastic PDEs, multiscale problems, and optimal numerical methods. Invited seminar talk at the University of Southern California (USC), United States of America (the). http://hdl.handle.net/20.500.12708/121811 ( reposiTUm)

Heitzinger, C. (2016). Julia and partial differential equations: being faster than M*TL*B. JuliaCon 2016, Boston, United States of America (the). http://hdl.handle.net/20.500.12708/121815 ( reposiTUm)

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. http://hdl.handle.net/20.500.12708/121818 ( reposiTUm)

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. http://hdl.handle.net/20.500.12708/121820 ( reposiTUm)

Heitzinger, C. (2015). Multiscale problems in nanotechnology. Winter 2015 Workshop of the FWF Doktoratskolleg Dissipation and Dispersion in Nonlinear PDEs, Rust, Österreich, Austria. http://hdl.handle.net/20.500.12708/121821 ( reposiTUm)

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, Spain. http://hdl.handle.net/20.500.12708/121817 ( reposiTUm)

Heitzinger, C. (2015). Stochastic partial differential equations, multiscale problems, and applications in nanotechnology. Invited seminar presentation at TU Braunschweig, Braunschweig, Germany. http://hdl.handle.net/20.500.12708/121819 ( reposiTUm)

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. http://hdl.handle.net/20.500.12708/121825 ( reposiTUm)

Heitzinger, C. (2014). Deterministic and stochastic multiscale problems arising from nanoscale sensors. 11th World Congress on Computational Mechanics (WCCM XI), Barcelona, Spain. http://hdl.handle.net/20.500.12708/121822 ( reposiTUm)

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, United States of America (the). http://hdl.handle.net/20.500.12708/121824 ( reposiTUm)

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. http://hdl.handle.net/20.500.12708/91306 ( reposiTUm)

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. http://hdl.handle.net/20.500.12708/87654 ( reposiTUm)

Gehring, A., Heitzinger, C., Hössinger, A., Ungersböck, S. E., Wessner, W., & Selberherr, S. (2003). VISTA Status Report December 2003. http://hdl.handle.net/20.500.12708/31428 ( reposiTUm)

Gritsch, M., Heitzinger, C., Park, J. M., Klima, R., Rodriguez-Torres, R., & Selberherr, S. (2002). VISTA Status Report June 2002. http://hdl.handle.net/20.500.12708/31429 ( reposiTUm)

Binder, T., Cervenka, J., Gehring, A., Harlander, C., Heitzinger, C., & Selberherr, S. (2001). VISTA Status Report June 2001. http://hdl.handle.net/20.500.12708/31431 ( reposiTUm)

Grasser, T., Gritsch, M., Heitzinger, C., Hössinger, A., & Selberherr, S. (2001). VISTA Status Report December 2001. http://hdl.handle.net/20.500.12708/31432 ( reposiTUm)

Binder, T., Gritsch, M., Heitzinger, C., Palankovski, V., & Selberherr, S. (2000). VISTA Status Report December 2000. http://hdl.handle.net/20.500.12708/31434 ( reposiTUm)

Ruzicka, L., Kohn, B., & Heitzinger, C. (2025). TipSegNet: Fingertip Segmentation in Contactless Fingerprint Imaging. https://doi.org/10.48550/arXiv.2501.05076 ( reposiTUm)

Ruzicka, L., Alexander Spenke, Bergmann, S., Nolden, G., Kohn, B., & Heitzinger, C. (2025). Towards Fingerprint Mosaicking Artifact Detection: A Self-Supervised Deep Learning Approach. arXiv. https://doi.org/10.48550/arXiv.2501.05034 ( reposiTUm)

Heitzinger, C. (2009). Modeling and simulation in bio- and nanotechnology [Professorial Dissertation, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/184258 ( reposiTUm)