Gundolf Haase

University of Graz — Austria

Engineering · Physical Sciences

21h-index1.4kcitations131works2.32yr avg
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Research Topics

Advanced Numerical Methods in Computational Mathematics(33), Cardiac electrophysiology and arrhythmias(20), Matrix Theory and Algorithms(20), Parallel Computing and Optimization Techniques(18), Electromagnetic Scattering and Analysis(16)

Publications131 total

Non-Intrusive Parametrized-Background Data-Weak Reconstruction of Cardiac Displacement Fields from Sparse MRI-like Observations
arXiv (Cornell University)·2025Open Access
Neural network emulation of the human ventricular cardiomyocyte action potential: A promising tool for more efficient computations in quantitative systems pharmacology studies
Journal of Pharmacological and Toxicological Methods·2025
Optimal dynamic thermal plant control: A study and benchmark
arXiv (Cornell University)·2025Open Access
Physics-informed neural network estimation of active material properties in time-dependent cardiac biomechanical models
arXiv (Cornell University)·2025Open Access
Physics-informed neural network estimation of active material properties in time-dependent cardiac biomechanical models
SSRN Electronic Journal·2025Open Access
Physics-informed neural network estimation of active material properties in time-dependent cardiac biomechanical models
SSRN Electronic Journal·2025Open Access
Generic preconditioning based on the inverse with respect to the semi-inner product for iterative solvers for radial basis function interpolation
Journal of Computational and Applied Mathematics·2024
Physics-informed neural network estimation of material properties in soft tissue nonlinear biomechanical models
Computational Mechanics·2024· 32 citedOpen Access
Author response: Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studies
2024Open Access
Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studies
eLife·2024Open Access
Reviewer #3 (Public Review): Neural network emulation of the human ventricular cardiomyocyte action potential: a tool for more efficient computation in pharmacological studies
2024Open Access
Author Response: Neural network emulation of the human ventricular cardiomyocyte action potential: a tool for more efficient computation in pharmacological studies
2024Open Access
Reviewer #1 (Public Review): Neural network emulation of the human ventricular cardiomyocyte action potential: a tool for more efficient computation in pharmacological studies
2024Open Access
Neural network emulation of the human ventricular cardiomyocyte action potential: a tool for more efficient computation in pharmacological studies
2024Open Access
Physics-informed Neural Network Estimation of Material Properties in Soft Tissue Nonlinear Biomechanical Models
arXiv (Cornell University)·2023Open Access
Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation Approach
IEEE Transactions on Biomedical Engineering·2023· 15 citedOpen Access
Reviewer #1 (Public Review): Neural network emulation of the human ventricular cardiomyocyte action potential: a tool for more efficient computation in pharmacological studies
2023Open Access
Reviewer #3 (Public Review): Neural network emulation of the human ventricular cardiomyocyte action potential: a tool for more efficient computation in pharmacological studies
2023Open Access
Neural network emulation of the human ventricular cardiomyocyte action potential: a tool for more efficient computation in pharmacological studies
2023Open Access
Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studies
eLife·2023· 9 citedOpen Access
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Frequent Co-authors

Gernot Plank(16), Manfred Liebmann(12), Ulrich Langer(10), Craig C. Douglas(6), Rodrigo Weber dos Santos(5), Elias Karabelas(5), Christoph M. Augustin(4), Aurel Neic(4), Steven Niederer(4), Michael Kühn(4), Edward J. Vigmond(3), A. Meyer(3), Jana Fuchsberger(3), S. Reitzinger(3), Bernardo Martins Rocha(3), Richard E. Ewing(3), Yalchin Efendiev(3), Mohamed Iskandarani(3), Anton J. Prassl(2), Lawrence Mitchell(2)