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

Journal papers

Ebmeier, F., Ludwig, N., Martius, G., & Franz, V. H. (2024). PaSTS: An operational dataset for domestic solar thermal systems. In Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems (pp. 529-534). New York, NY, USA: Association for Computing Machinery. [ DOI | Website | PDF | Open materials & data | Abstract ]

Till, S., Ebmeier, F., Fragkopoulos, A. A., Mazza, M. G., & Bäumchen, O. (2022). Motility and self-organization of gliding chlamydomonas populations. Physical Review Research, 4(4), L042046. [ DOI | Website | PDF | Abstract ]

Conference posters

Ebmeier, F., Ludwig, N., Thuemmel, J., Martius, G., & Franz, V. H. (2024). Fault Detection in Solar Thermal Systems using Probabilistic Reconstructions. (Poster at European Geosciences Union (EGU) General Assembly, 14.4.-19.4.2024, Vienna, Austria) [ Abstract ]

Ebmeier, F., Ludwig, N., Thuemmel, J., Martius, G., & Franz, V. H. (2024). Attention-based Anomaly Detection in Solar Thermal Systems. (Poster at EuroSun 2024 - International Conference on Solar Energy for Buildings and Industry, 26.8.-30.8.2024, Limassol, Cyprus) [ Abstract ]

Ebmeier, F., Ludwig, N., Martius, G., & Franz, V. H. (2022). Fault Detection in Solar Thermal Systems Using Machine Learning. (Poster presented at the ISES & IEA SHC International Conference on Solar Energy for Buildings and Industry; EuroSun2022; 25-29 September 2022; Kassel, Germany). [ Abstract ]