Research groups

Laboratories

We offer cooperation (hypothetical partners for applications) in areas:

• Research, development and implementation of realistic reliability models with the inclusion of aging processes
• Implementation of maintenance processes and its optimization
• Analysis of data burdened with uncertainties in connection with survival analysis - medical data
• Evaluation of Morbidity Operational Risks (Mortality) for various types of operational techniques based on modern survival analysis
• Comparing standard approaches to uncertainties with modern approaches, eg NPI (non-parametric inference, propensity score, logistics regression, etc.)

 

The Statistical Laboratory (Statlab) at the Department of Applied Mathematics, Faculty of Electrical Engineering and Computer Science, offers students and employees of VŠB-TUO (and, if capacity allows, other interested parties) consultations in the field of probability and statistics, seminars with lectures on various areas of statistics and probability, and data analysis courses using R software. Consultations and seminars are led by faculty members and doctoral students of the department.

Contact person: Martina Litschmannová (martina.litschmannova@vsb.cz)

Cooperation

• University Hospital Ostrava
• University Hospital Brno
• Brno University of Technology, Faculty of Electrical Engineering and Communication
• VSB – Technical University of Ostrava, IT4Innovations National Supercomputing Center

Collaboration with international partners and leading experts in reliability and risk research:

• University of Žilina, Slovakia
• University of Technology of Troyes, France
• Durham University, United Kingdom

Projects

• Jahoda Pavel RNDr., Ph.D.: SGS 2 KAM 2024, Ministerstvo školství, mládeže a tělovýchovy (2024 - 2024)
• Jahoda Pavel RNDr., Ph.D.: Aplikovaná statistika a teorie pravděpodobnosti, Ministerstvo školství, mládeže a tělovýchovy (2020 - 2020)
• Jahoda Pavel RNDr., Ph.D.: Modelování spolehlivosti a rizik, Ministerstvo školství, mládeže a tělovýchovy (2017 - 2017)
• Béreš Michal Ing., Ph.D.: Řešení úloh s nejistotami pomocí metody hraničních prvků, Ministerstvo školství, mládeže a tělovýchovy (2018 - 2018)
• Jahoda Pavel RNDr., Ph.D.: Modelování rizik v průmyslu a biomedicíně , Ministerstvo školství, mládeže a tělovýchovy (2014 - 2014)

Publications

• Briš, R., Jahoda, P. (2022). Really Ageing Systems Undergoing a Discrete Maintenance Optimization, MATHEMATICS, 10, nestránkováno [detail...]
• Thach, TT., Briš, R. (2021). An additive Chen-Weibull distribution and its applications in reliability modeling, Quality and Reliability Engineering International, 37, 352-373 [detail...]
• Thach, TT., Briš, R., Volf, P., Coolen, F. (2020). Non-linear failure rate: A Bayes study using Hamiltonian Monte Carlo simulation, International Journal of Approximate Reasoning, 123, 55-76 [detail...]
• Kracík, J., Strnadel, B. (2018). A statistical model for lifespan prediction of large steel structures, Engineering Structures, 176, 20-27 [detail...]
• Briš, R., Byczanski, P., Goňo, R., Rusek, S. (2017). Discrete maintenance optimization of complex multi-component systems, Reliability engineering and system safety, 168, 80-89 [detail...]
• Kundrát, J., Rečka, K., Litschmannová, M., Kondé, A., Baumgartner, F., Benešová, T., Paulík, K., Fabián, T., Skanderová, L., Beranová, H., Ullmannová, D. (2023). Metaphors of distance, size and temperature in sociometry of small social groups: A generalizability theory approach, Education and Information Technologies, Neuveden, nestránkováno [detail...]
• Polzer, S., Kracík, J., Novotny, T., Kubicek, L., Staffa, R., Raghavan, ML. (2021). Methodology for Estimation of Annual Risk of Rupture for Abdominal Aortic Aneurysm, Computer Methods and Programs in Biomedicine, 200, nestránkováno [detail...]
• Jahoda, P., Briš, R. (2022). A renewal process model with failure based PM and imperfect CM for unavailability exploration, International Journal of Quality and Reliability Management, 39, 984-999 [detail...]
• Briš, R., Tran, NTT. (2023). Discrete Model for a Multi-Objective Maintenance Optimization Problem of Safety Systems, Mathematics, 11, nestránkováno [detail...]
• 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, 2020, nestránkováno [detail...]
• Briš, R., Praks, P., Fujdiak, R., Vrtal, M., Brkić, D. (2025). Maintenance optimization for unavailability enhancement of representative interconnected infrastructure based on minimum cost, Science Progress, 108, 1-23 [detail...]

Team

Group leader

prof. Ing. Radim Briš, CSc.

Contact person

Ing. Martina Litschmannová, Ph.D.

Academic staff:

Ing. Michal Béreš, Ph.D., prof. Ing. Radim Briš, CSc., Ing. Simona Bérešová, Ph.D., RNDr. Pavel Jahoda, Ph.D., Ing. Jan Kracík, Ph.D., Mgr. Bohumil Krajc, Ph.D., Ing. Martina Litschmannová, Ph.D., Mgr. Lenka Přibylová, Ph.D., Mgr. Adéla Kondé, Ph.D.

Scientists:

Ing. Matěj Mazůrek

Externalists: