Research Associate
Helmut-Schmidt-University
University of the Federal Armed Forces Hamburg
Holstenhofweg 85
22043 Hamburg
Room: H1, 1370
Phone: +49 40 6541-2885
Fax: +49 40 6541-2023
E-Mail: [email protected]
Education
- 11/2014 – 12/2020: Doctoral studies, Mathematics, Technische Universität Braunschweig
- 10/2012 – 11/2014: Master of Science, Mathematics in Finance and Industry, Technische Universität Braunschweig
- 09/2013 – 01/2014: M2 Probabilités et Finance, Université Pierre et Marie Curie and École polytechnique, Paris
- 10/2009 – 10/2012: Bachelor of Science, Mathematics in Finance and Industry, Technische Universität Braunschweig
- 06/2009: Abitur Ratsgymnasium Stadthagen
Career
- 11/2014 – 03/2021: Research assistant, Technische Universität Braunschweig
Publications
- Nichani, K., San Martin, V., Jaelani, Y., Frost, K., Beering, C., Hettwer, K., Knoth, S., Kessler, S., Uhlig, S. (2025) On suitability of measures of amplitude for quality assurance of vibration sensing systems in structural health monitoring. Structural Concrete. https://doi.org/10.1002/suco.70070.
- Kanzler, D., Rentala, V. Jaelani, Y., Knoth, S., Kessler, S., Beering, C. (2024). Unmasking Structural Health: A Bold Exploration into the Uncharted Realms of Reliability Assessment in SHM. fib Symposium, Christchurch.
- Kessler, S., Kanzler, D., Knoth, S., Rentala, V., Jaelani, Y., Mendler, A., Beering, C., Marsili, F. (2024). Assessment of Reinforced Concrete Structures: Exploring the Reliability of NDT/SHM. fib Symposium, Christchurch.
- Beering, C. (2024). Bridge Monitoring and Independence Testing for Locally Stationary Processes. Joint Statistical Meeting (JSM), Portland. https://doi.org/10.5281/zenodo.13356531.
- Beering, C. (2024). Bridge Monitoring with the Help of Local Distance Correlation. e-Journal of Nondestructive Testing, DOI: 10.58286/29599.
- Rentala, V. K., Kanzler, D., Kessler, S., Jaelani, Y., Knoth, S., Beering, C. (2024). POD methodologies for SHM application in civil engineering. e-Journal of Nondestructive Testing, DOI: 10.58286/29824.
- Beering, C., Leucht, A. (2023). A bootstrap functional central limit theorem for time-varying linear processes. Journal of Nonparametric Statistics, DOI: 10.1080/10485252.2023.2284896.
- Beering, C. (2021). A Functional Central Limit Theorem and its Bootstrap Analogue for Locally Stationary Processes with Application to Independence Testing. Dissertation. Technische Universität Braunschweig (view online).
- Jentsch, C., Leucht, A., Meyer, M., Beering, C. (2020). Empirical characteristic function-based estimation and distance correlation for locally stationary processes. Journal of Time Series Analysis 41, 110-133.
Teaching
- Spring 2025: Queueing Theory
- Winter 2025: Quantitative Methods II
- Spring 2024: Time Series Analysis
- Fall 2023: Quantitative Methods IV
- Winter 2023: Stochastic Processes
- Fall 2022: Advanced Statistics
- Winter 2022: Quantitative Methods II
- Fall 2021: Quantitative Methods IV
Letzte Änderung: 15. April 2025