- Simona Bérešová
Simona Bérešová (formerly Simona Domesová), born 1990 in Czech Republic
Research interests: Markov chain Monte Carlo methods, Bayesian inversion, surrogate models, stochastic collocation method, partial differential equations with random parameters, computational geosciences, poroelasticity in fractured porous media
Domesová S., Béreš M., Blaheta R. (2021): Efficient Implementation of the Bayesian Inversion by MCMC with Acceleration of Posterior Sampling Using Surrogate Models. Challenges and Innovations in Geomechanics, volume 125, pages 846–853. Springer, Cham. DOI: 10.1007/978-3-030-64514-4_91
Béreš M., Blaheta R., Domesová S., Horák D. (2021): Numerical Methods for Simulation of Coupled Hydro-Mechanical Processes in Fractured Porous Media. Challenges and Innovations in Geomechanics, volume 125, pages 591–599. Springer, Cham, 2021. DOI: 10.1007/978-3-030-64514-4_60
Blaheta R., Béreš M., Domesová S., Horák D. (2020): Bayesian inversion for steady flow in fractured porous media with contact on fractures and hydro-mechanical coupling. Computational Geosciences, February 2020. DOI: 10.1007/s10596-020-09935-8
Domesová S. (2020): The use of radial basis function surrogate models for sampling process acceleration in Bayesian inversion. AETA 2018 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application, volume 554, pages 228–238. Springer, Cham. DOI: 10.1007/978-3-030-14907-9_23
Blaheta R., Béreš M., Domesová S., Pan P. (2018): A comparison of deterministic and Bayesian inverse with application in micromechanics. Applications of Mathematics, pages 1-22. DOI: 10.21136/AM.2018.0195-18
Domesová S., Béreš M. (2018): A Bayesian Approach to the Identification Problem with Given Material Interfaces in the Darcy Flow. High Performance Computing in Science and Engineering. HPCSE 2017. Lecture Notes in Computer Science, volume 11087, pages 203-216. Springer, Cham. DOI: 10.1007/978-3-319-97136-0_15
Domesová S., Béreš M. (2017): Solution of inverse problems using Bayesian approach with application to estimation of material parameters in Darcy flow. Advances in Electrical and Electronic Engineering, volume 15, issue 2, pages 258-266. DOI: 10.15598/aeee.v15i2.2236
Béreš, M., Domesová, S. (2017): The stochastic Galerkin method for Darcy flow problem with log-normal random field coefficients. Advances in Electrical and Electronic Engineering, volume 15, issue 2, pages 267-279. DOI: 10.15598/aeee.v15i2.2280
Blaheta, R., Beres, M., Domesova, S. (2016): A study of stochastic FEM method for porous media flow problem. Proceedings of the 1st International Conference on Applied Mathematics in Engineering and Reliability ICAMER (Ho Chi Minh City, Vietnam, 4-6 May 2016), pages: 281-289. CRC Press. DOI: 10.1201/b21348-47
Domesová, S., Briš, R. (2016): Highly reliable systems simulation accelerated using CPU and GPU parallel computing. Proceedings of the 1st International Conference on Applied Mathematics in Engineering and Reliability ICAMER (Ho Chi Minh City, Vietnam, 4-6 May 2016), pages 119-129. CRC Press. DOI: 10.1201/b21348-20
Briš, R., Domesová, S. (2015): Parallel computing for system availability and applications. Safety and Reliability: Methodology and Applications. Proceedings of the European Safety and Reliability Conference (ESREL 2014), pages 2447-2453. CRC Press. DOI: 10.1201/b17399-334
Briš, R., Domesová, S. (2014): New Computing Technology in Reliability Engineering. Mathematical Problems in Engineering, pages 1-7. Hindawi Publishing Corporation. DOI: 10.1155/2014/187362
PhD student (2015 - present) Computational and Applied Mathematics, VŠB-TUO
Dissertation thesis topic: Bayesian approach to the identification of parameters of differential equations
Master's degree (2013 - 2015) Computational Mathematics, VŠB-TUO
Master thesis topic: Effective algorithms for simulation of Discrete-Event systems (Efektivní algoritmy pro simulaci DE systémů)
Bachelor‘s degree (2010 – 2013) Computational Mathematics, VŠB-TUO
Bachelor thesis topic: Availability modeling by Monte Carlo method (Modelování pohotovosti systému metodou Monte Carlo)
2019 - present Department of Applied Mathematics, VŠB – Technical University of Ostrava
2014 - present Institute of Geonics of the CAS, Ostrava-Poruba, Czech Republic
2015 - 2018 IT4Innovations, VŠB – Technical University of Ostrava
