Schwerpunkte/Kompetenzen
- Quantitative Methoden in der Wirtschaft und Informationssystemen
- Künstliche Intelligenz
- Python-Programmierung
Publikationen
Highlightpublikationen
- Barisin, T.; Jung, C.; Nowacka, A.; Redenbach, C.; Schladitz, K.: Cracks in Concrete.
In: Franke, J.; Schöbel, A. (eds) Statistical Machine Learning for Engineering with Applications. Lecture Notes in Statistics, vol 227, 2024.
Springer, Cham. https://doi.org/10.1007/978-3-031-66253-9_6 - Nowacka, A.; Schladitz, K.; Grzesiak, S.; Pahn, M.:
Segmentation of Spatial Crack Structures in Concrete by Deep Learning Enabling Image Based Characterization.
Accepted in SCCE, available online from 06 July 2024.
- Nowacka, A.; Jung, C.; Schladitz, K.; Redenbach, C.; Pahn, M.:
Deep learning models for crack segmentation in 3d images of concrete trained on semi-synthetic data. 13th Conference on Industrial Computed Tomography (iCT 2024), Wels. - Jung, C.; Nowacka, A.; Barisin, T.; Meinel, D. ; Paetsch, O.; Grzesiak, S.; Salamon, M.; Schladitz, K.; Redenbach, C.; Pahn, M.:
3d Imaging and Analysis of Cracks in Loaded Concrete Samples.
12th Conference on Industrial Computed Tomography (iCT 2023), Fürth.