Florian Ebmeier

Eberhard Karls Universität Tübingen

Experimental Cognitive Science

Sand 6, F239

72076 Tübingen

Germany

 

E-Mail: florian.ebmeier (at) uni-tuebingen.de

Office hours: by appointment (please send a short email describing what you want to talk about)

Research interests

My research interests lie in the field of solar thermal systems, with a focus on fault detection and optimization. Currently, I am working on developing novel approaches for anomaly detection by utilizing machine learning techniques, particularly variational autoencoders. By incorporating prior knowledge of the underlying physics into these models, I aim to improve the accuracy and interpretability of the results, leading to more efficient and sustainable solar thermal systems.

CV

I hold a Bachelor's degree in Physics and a Master's degree in Biophysics and Complex Systems from the University of Göttingen. During both my bachelor's and master's theses, I developed a novel simulation model for cognitive systems based on entropy maximization at a later time horizon. In October 2021, I joined the Experimental Cognitive Science group as a PhD student, where I am working on the MUSTEIN project.

Publications

• Ebmeier, F., Ludwig, N., Martius, G., & Franz, V. H. (2022). Fault Detection in Solar Thermal Systems Using Machine Learning. Poster presented at EuroSun2022.
• Till, S., Ebmeier, F., Fragkopoulos, A. A., Mazza, M., & Bäumchen, O. (2022). Motility and self-organization of gliding Chlamydomonas populations. Physical Review Research, 4: L042046. doi:10.1103/PhysRevResearch.4.L042046.