Dr. Alexander Matei
Mitglied bis 2022
Veröffentlichungen und Preprints
| Matei A. (2022): Optimum Experimental Design with PDE Constraints for Identification of Model Uncertainty in Load-bearing Systems. Dissertation, Technische Universität Darmstadt. Verlag Dr. Hut. Buch PDF (wird in neuem Tab geöffnet) |
| Pfetsch M.E. et al. (2021): Strategies for Mastering Uncertainty. In: Pelz P.F., Groche P., Pfetsch M.E., Schaeffner M. (eds) Mastering Uncertainty in Mechanical Engineering. Springer Tracts in Mechanical Engineering. Springer, Cham. DOI |
| Pelz P.F. et al. (2021): Types of Uncertainty. In: Pelz P.F., Groche P., Pfetsch M.E., Schaeffner M. (eds) Mastering Uncertainty in Mechanical Engineering. Springer Tracts in Mechanical Engineering. Springer, Cham. DOI |
| Schaeffner M. et al. (2021): Analysis, Quantification and Evaluation of Uncertainty. In: Pelz P.F., Groche P., Pfetsch M.E., Schaeffner M. (eds) Mastering Uncertainty in Mechanical Engineering. Springer Tracts in Mechanical Engineering. Springer, Cham. DOI |
| Matei A., Bott A., Rehlich L., Steinke F., Ulbrich S. (2021): Optimal Sensor Placement in District Heating Networks for Bayesian Inference of Uncertain Demands. In: Papadrakakis M. et al. (eds) Uncertainty Quantification in Computational Sciences and Engineering. UNCECOMP 2021. Eccomas Proceedia. DOI |
| Matei A., Ulbrich S. (2021): Detection of Model Uncertainty in the Dynamic Linear-Elastic Model of Vibrations in a Truss. In: Pelz P.F., Groche P. (eds) Uncertainty in Mechanical Engineering. ICUME 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. DOI |
| Gally T., Groche P., Hoppe F., Kuttich A., Matei A., Pfetsch M., Rakowitsch M., Ulbrich S. (2021): Identification of model uncertainty via optimal design of experiments applied to a mechanical press. Optimization and Engineering. DOI |
| Feldmann R., Gehb C. M., Schäffner M., Matei A., Lenz J., Kersting S., Weber M. (2020): A Detailed Assessment of Model Form Uncertainty in a Load-Carrying Truss Structure. In: Mao Z. (eds) Model Validation and Uncertainty Quantification, Volume 3. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. DOI |
Vorträge
| SIAM Conference on Optimization, Virtuelles Format, 22. Juli 2021: Detection of Model Uncertainty in the Dynamic Linear-Elastic Model of Vibrations in a Truss |
| 4th International Conference on Uncertainty in Mechanical Engineering, Darmstadt, 7. Juni 2021: Detection of Model Uncertainty in the Dynamic Linear-Elastic Model of Vibrations in a Truss |
| ECMI 2021 Konferenz, Wuppertal, 14. April 2021: Identification of Model Uncertainty via Optimal Design of Experiments Applied to a Mechanical Press |
| DMV Jahrestagung, Chemnitz, 16. September 2020: Identification of Model Uncertainty via Optimal Design of Experiments Applied to a Mechanical Press |
| AG-Seminar Optimierung, Darmstadt, 26. Juni 2020: Optimum experimental design with PDE-constraints and its application to the detection of model uncertainty |
| ICCOPT, Berlin, 8. August 2019: Detecting model uncertainty via parameter estimation and optimal design of experiments |
| DMV Studierendenkonferenz, Paderborn, 5. März 2018: Vanishing viscosity for gradient-based optimal control problems with scalar conservation laws (Masterarbeit) |
Lehrassistenz
| SoSe 2022 | Mathematik II für Bauingenieure | PD Dr. Cornelia Wichelhaus |
| WiSe 21/22 | Mathematik III für Maschinenbauer | Prof. Dr. Martin Kiehl |
| SoSe 2021 | Analysis II | Prof. Dr. Robert Haller-Dintelmann |
| WiSe 20/21 | Einführung in die Optimierung | Prof. Dr. Winnifried Wollner |
| WiSe 18/19 | Mathematik III für Bauingenieure | Prof. Dr. Christian Stinner |
| SoSe 2018 |
Mathematik II für Bauingenieure Elementare PDGL: Klassische Methoden |
Prof. Dr. Christian Stinner Prof. Dr. Stefan Ulbrich |
| WiSe 17/18 | Mathematik III für Bauingenieure | Prof. Dr. Winnifried Wollner |