Philip Stoll
Philip Stoll, M. Sc.

Alumnus
Carl-Thiersch-Straße 2b
91052 Erlangen
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik
Carl-Thiersch-Straße 2b
91052 Erlangen
- Email: philip.ps.stoll@fau.de
Since 01/2023 | Researcher and PhD Candidate Machine Learning and Data Analytics Lab Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) |
04/2020 – 09/2022 | M.Sc. in Medical Engineering (Medical Image and Data Processing) Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Master’s Thesis: Long-Term Automated Behaviour Monitoring of Captive Polar Bears |
04/2022 – 09/2022 | Student assistant Innovation Lab for Wearable and Ubiquitous Computing |
10/2016 – 09/2020 | B.Sc in Medical Engineering Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Bachelor’s Thesis: Semantic Segmentation of the Human Eye for Driver Monitoring |
2024
- Zürl M., Stoll P., Brehm I., Sueskind J., Raab R., Petermann J., Zanca D., Simon R., von Fersen L., Eskofier B.:
Automated long-term monitoring of stereotypical movement in polar bears under human care using machine learning
In: Ecological Informatics (2024), p. 102840
ISSN: 1574-9541
DOI: 10.1016/j.ecoinf.2024.102840
BibTeX: Download
2022
- Zürl M., Stoll P., Brehm I., Raab R., Zanca D., Kabri S., Happold J., Nille H., Prechtel K., Wünsch S., Krause M., Seegerer S., von Fersen L., Eskofier B.:
Automated Video-Based Analysis Framework for Behavior Monitoring of Individual Animals in Zoos Using Deep Learning—A Study on Polar Bears
In: Animals 12 (2022), p. 692
ISSN: 2076-2615
DOI: 10.3390/ani12060692
BibTeX: Download
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