Dr. Alexander Matei
 
 
Member until 2022
Publications and 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. Book PDF (opens in new tab) | 
| 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 | 
Talks
| SIAM Conference on Optimization, Virtual format, July 22, 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, June 7, 2021: Detection of Model Uncertainty in the Dynamic Linear-Elastic Model of Vibrations in a Truss | 
| ECMI 2021 Conference, Wuppertal, April 14, 2021: Identification of Model Uncertainty via Optimal Design of Experiments Applied to a Mechanical Press | 
| DMV Annual Conference, Chemnitz, September 16, 2020: Identification of Model Uncertainty via Optimal Design of Experiments Applied to a Mechanical Press | 
| Research Group Optimization Seminar, Darmstadt, June 26, 2020: Optimum experimental design with PDE-constraints and its application to the detection of model uncertainty | 
| ICCOPT, Berlin, August 8, 2019: Detecting model uncertainty via parameter estimation and optimal design of experiments | 
| DMV Students Conference, Paderborn, March 5, 2018: Vanishing viscosity for gradient-based optimal control problems with scalar conservation laws (Master Thesis) | 
Teaching Assistance
| Summer term 2022 | Mathematik II für Bauingenieure | PD Dr. Cornelia Wichelhaus | 
| Winter term 21/22 | Mathematik III für Maschinenbauer | Prof. Dr. Martin Kiehl | 
| Summer term 2021 | Analysis II | Prof. Dr. Robert Haller-Dintelmann | 
| Winter term 20/21 | Einführung in die Optimierung | Prof. Dr. Winnifried Wollner | 
| Winter term 18/19 | Mathematik III für Bauingenieure | Prof. Dr. Christian Stinner | 
| Summer term 2018 | Mathematik II für Bauingenieure Elementare PDGL: Klassische Methoden | Prof. Dr. Christian Stinner Prof. Dr. Stefan Ulbrich | 
| Winter term 17/18 | Mathematik III für Bauingenieure | Prof. Dr. Winnifried Wollner | 
