Philip Stoll

Philip Stoll, M. Sc.

Researcher & PhD Candidate

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik

Room 01.020
Carl-Thiersch-Straße 2b
91052 Erlangen

Email: philip.ps.stoll@fau.de

Academic CV

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

Research Projects

VERA

Publications

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

Teaching

Courses

Innovation Lab for Wearable and Ubiquitous Computing

Student Supervision

Year	Type	Student	Title