| |  | | | | | | | | | | | | | | | | Supervised courses: - Linear Algebra I (2012/13, 2013, 2013/14) (Departement mathematics)
- Stochastic I (2013/14) (Departement mathematics)
- Complex Analysis I (2014) (Departement mathematics)
- Financial Engineering (2014/15) (Departement mathematics)
- Inferential Statistics (2015, 2016) (Departement mathematics)
- Statistical Analysis (2015/16) (Departement mathematics)
- Tensor calculations (2017/18)
- FEM in structure mechanics (2018, 2019, 2020)
- Mathematical methods in mechanics (2018/19, 2019/20)
| Fields of activity: Publications: - T. Korzeniowski, K. Weinberg. (2018): A Markov Chain Approach to Damage Evolution in Die-Cast ZAMAK. Technische Mechanik, 38, 2, (2018), 135 – 147
- T. Korzeniowski, K. Weinberg. (2018): Data‐driven approach to elastic problems. Proceedings in Applied Mathematics and Mechanics, 2018, 18. Jg., Nr. 1 (2018),
- T. Korzeniowski, K. Weinberg. (2019): A comparison of stochastic and data-driven FEM approaches to problems with insufficient material data. Computer Methods in Applied Mechanics and Engineering, Volume 350, 15 June 2019, Pages 554-570.
- T. Korzeniowski et al. (2019): Analysis of polymorphic data uncertainties in engineering applications. GAMM-Mitteilugen, Volume 42, Issue 2 (2019).
- T. Korzeniowski, T. Reppel, K. Weinberg. (2019): A juxtaposition of data driven and stochastic finite element analyses for problems with noisy material data. Proceedings in Applied Mathematics and Mechanics, 2019, Volume 19, Issue 1 (2019).
- Reppel, T., Korzeniowski, T.F., Weinberg, K. : Effect of uncertain parameters on the deflection of beams. PAMM 19 (1), (2019), e201900318
- Reppel, T., Korzeniowski, T.F., Weinberg, K.: Stereological transformation of pore size distributions with application to soft polymer and FDM-printed specimens. ZAMM (2019), e201800287
- T. Korzeniowski, K. Weinberg. (2020): Data-driven diffusion with uncertainties. Proceedings in Applied Mathematics and Mechanics, 2019, Volume 20, Issue 1 (2020).
- T. Korzeniowski, K. Weinberg. (2021): A multi-level method for data-driven finite element computations. Computer Methods in Applied Mechanics and Engineering, Volume 379, 1 June 2021.
Presentations: - A Markov chain approach to damage evolution in die-cast ZAMAK. Annual Meeting SPP 1886, Munich, Germany, 2017.
- Data-driven approach to elastic problems. Annual Meeting GAMM, Munich, Germany, 2018.
- Data driven computing. Complex Meeting SPP 1886, Bochum, 2018.
- A Markov chain approach to damage evolution in die-cast ZAMAK. Annual Meeting SPP 1886, Udine, Italy, 2018.
- A juxtaposition of data driven and stochastic finite element analyses for problems with noisy material data. Annual Meeting GAMM, Vienna, Austria 2019.
- Data driven finite element method. GAMM Activity Group Data-driven Modeling and Numerical Simulation of microstructured Materials, Aachen, 2019.
- Data driven FEM with RVE generated data sets. DGM AK Mikrostrukturmechanik, Cologne, 2019.
- A data driven approach to the analysis of vibrations and damping. UNCECOMP, Crete, Greece, 2019.
- Data driven FEM with RVE generated data sets. DGM AK Mikrostrukturmechanik, Siegen, 2019.
- DD-FEM with RVE-generated data sets. Jahrestreffen SPP 1886, Hamburg, 2019.
- Multi-level DD-FEM in polymorphic uncertainty quantification. Jahrestreffen SPP 1886, 2020.
- A multi-fidelity approach to damage evolution in die-cast zinc parts, Kickoff Meeting SPP 1886, 2021.
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