
Oskar Herrmann
Institute of Geography
Research associates
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2026 – Present: Postdoctoral Researcher
M³OCCA Phase II, Institute of Geography, FAU Erlangen–Nürnberg
2022 – 2026: PhD Researcher
ERC Project FRAGILE, Glacial Systems & Natural Hazards Research Group
2019 – 2022: M.Sc. Computer Science
FAU Erlangen–Nürnberg
2015 – 2019: B.Sc. Computer Science
FAU Erlangen–Nürnberg
2026
- Herrmann, O., Prasad, V., Zöller, A., Groos, A.R., Cook, S., Sommer, C., & Fürst, J. (2026). Brief communication: Inferring Glacier Equilibrium Line Altitudes in the Europe Alps with FROST. Cryosphere, 20(7), 3817-3825. https://doi.org/10.5194/tc-20-3817-2026
DOI: 10.5194/tc-20-3817-2026
BibTeX: Download - Zöller, A., Herrmann, O., Jouvet, G., & Fürst, J. (2026). Ice-Dynamic Constraints on Glacier Climatic Mass Balance Using Inverse Techniques. Geophysical Research Letters, 53(8). https://doi.org/10.1029/2025GL120119
DOI: 10.1029/2025GL120119
BibTeX: Download
2025
- Herrmann, O., Groos, A.R., Tabone, I., Jouvet, G., & Fürst, J. (2025). A Kalman Filter-based Framework for Assimilating Remote Sensing Observations into a Surface Mass Balance Model. Annals of Glaciology. https://doi.org/10.1017/aog.2025.10020
DOI: 10.1017/aog.2025.10020
BibTeX: Download
2023
- Herrmann, O., Gourmelon, N., Seehaus, T., Maier, A., Fürst, J., Braun, M., & Christlein, V. (2023). Out-of-the-box Calving Front Detection Method Using Deep Learning. Cryosphere, 17, 4957–4977. https://doi.org/10.5194/tc-17-4957-2023
DOI: 10.5194/tc-17-4957-2023
BibTeX: Download
2021
- Altstidl, T., Kram, S., Herrmann, O., Stahlke, M., Feigl, T., & Mutschler, C. (2021). Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning. In Proceedings of the International Conference on Indoor Positioning and Indoor Navigation (IPIN 2021) (pp. 1-8). Lloret de Mar, ES: IEEE Xplore.
DOI: 10.1109/IPIN51156.2021.9662545
BibTeX: Download
My research focuses on the development of data assimilation for glacier modeling by combining physical models with Earth observation data.
Current research interests include:
- Glacier evolution modelling
- Data assimilation
- Surface mass balance calibration
- Ensemble Kalman Filters
- Remote sensing of glaciers
- High-performance computing
Besides my research, I am passionate about data visualization, science communication, and outreach. Through interactive visualizations, public talks, and photography, I aim to make glacier research and the impacts of climate change more accessible to a broader audience.