Matthias Zürl
Matthias Zürl, M. Sc.
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik
Carl-Thiersch-Straße 2b
91058 Erlangen
- Phone number: +49 9131 85-20285
- Email: matthias.zuerl@fau.de
- Website: https://team-vera.github.io/
| 10/2024 – 12/2024 |
Visiting Scholar at the Conservation Technology Lab San Diego Zoo Wildlife Alliance |
| Since 07/2019 | Researcher at the Machine Learning and Data Analytics Lab Friedrich-Alexander-Universität Erlangen-Nürnberg |
| 07/2019 – 09/2024 | Head Coach of the Innovation Lab for Wearable and Ubiquitous Computing Friedrich-Alexander-Universität Erlangen-Nürnberg |
| 04/2016 – 12/2018 | Research assistant at the Chair of Applied Physics Friedrich-Alexander-Universität Erlangen-Nürnberg |
| 10/2016 – 01/2019 | Masters Degree in Physics Friedrich-Alexander-Universität Erlangen-Nürnberg Master Thesis: “Fabrication and Investigation of Homodyne Detectors for Terahertz Radiation“ |
| 10/2011 – 04/2017 | Study program for High school teaching in Math and Physics Friedrich-Alexander-Universität Erlangen-Nürnberg |
| 10/2011 – 10/2015 | Bachelors Degree in Math and Physics Friedrich-Alexander-Universität Erlangen-Nürnberg Bachelor Thesis: “Entwicklung und Aufbau eines Experiments für das physikalische Praktikum für Fortgeschrittene: Transporteigenschaften von Ladungsträgern in Halbleitern – Hall-Effekt” |
2024
- Küderle A., Ullrich M., Roth N., Ollenschläger M., Ibrahim A., Moradi H., Richer R., Seifer AK., Zürl M., Simpetru R., Herzer L., Prossel D., Kluge F., Eskofier B.:
Gaitmap – An Open Ecosystem for IMU-based Human Gait Analysis and Algorithm Benchmarking
In: IEEE Open Journal of Engineering in Medicine and Biology (2024), p. 1-10
ISSN: 2644-1276
DOI: 10.1109/OJEMB.2024.3356791
BibTeX: Download - 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
2023
- Köferl F., Jami J., Li J., Zanca D., Eskofier B., Zürl M.:
Tracking the visitor: An optical indoor system for visitor research in museums
In: Sonja Thiel, Johannes C. Bernhardt (ed.): AI in Museums: Reflections, Perspectives and Applications, Transcript-Verlag, 2023, p. 287 - 294 (Edition Museum, Vol.74)
ISBN: 9783839467107
DOI: 10.14361/9783839467107
BibTeX: Download - Zürl M., Dirauf R., Köferl F., Steinlein N., Sueskind J., Zanca D., Brehm I., von Fersen L., Eskofier B.:
PolarBearVidID: A Video-Based Re-Identification Benchmark Dataset for Polar Bears
In: Animals 13 (2023), p. 801
ISSN: 2076-2615
DOI: 10.3390/ani13050801
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
Courses
Innovation Lab for Wearable and Ubiquitous Computing
Supervised Projects:
| Term | Title |
| Summer Term 2024 | Optifox |
| Winter Term 2022 / 23 | Insecrecy |
| Summer Term 2022 | ChampTrack |
| Winter Term 2021 / 22 | VitalSense |
| Summer Term 2021 | Dungineers |
| Winter Term 2020 / 21 | Argus |
| Summer Term 2020 | Stress+ |
| Winter Term 2019 / 20 | Smart City Greens |
- Workshop on Computer Vision Methods for Ecology, Movement-based Re-Identification of Animals, Pasadena, 24.01.2025
- European Association for Aquatic Mammals, Studying Animal Behaviour With Artificial Intelligence – A Case Study on Polar Bears, Tenerife, 15.03.2024
- Mittsommernacht Tiergarten Nürnberg, Künstliche Intelligenz in der Zoo-Forschung, Nürnberg, 28.07.2023
- Tierpatentreffen Nürnberg, Eisbären und Künstliche Intelligenz, Nürnberg, 21.07.2023
- CVPR, CV4Animals, PolarBearVidID: A Video-Based Re-Identification Benchmark Dataset for Polar Bears, Vancouver, 18.06.2023
- European Association for Aquatic Mammals, Dolphin-Welfare Evaluation Tool (WET): Current Status and Future Digital Development, Valencia, 10.03.2023
- Master Digital Business Administration, An Introduction into Deep Learning, Erlangen, 21.01.2023
- KI-Days, Keynote on Artificial Intelligence, CodeCamp:N, Nürnberg, 20.10.2022
- Dolphin WET Conference, Invited Speaker on Computer Science in Biology, Nürnberg, 03.10.2022
- Tech|Day on Deep Learning, Workshop, Zollhof, Nürnberg, 17.05.2022
- PintOfScience Festival, Talk, Nürnberg, 09.05.2022
- Master Digital Business Administration, Lecture and Exercises in Machine Learning, Erlangen, 12.03.2022
- Tech|Day on Deep Learning, Workshop, together with Stefan Seegerer, Zollhof, Nürnberg, 01.12.2020
Material
In the context of several workshops on Deep Learning, which I have conducted together with my colleague Stefan Seegerer, we have developed a cheatsheet for Pytorch, which turned out to be pretty helpful:
| Year | Type | Student | Titel |
| 2025 | Master Thesis | Jan Petermann | Video-based Re-Identification for Grizzly and Polar Bears |
| 2025 | Bachelor Thesis | Lena Wiedholz |
Towards Open-Set Re-Identification of Bats |
| 2025 | Master Thesis | Tobias Frieß |
Machine Learning-Based Investigation of Overall State of Health Using Toothbrushing Behavior |
| 2024 | Master Project | Richard Vogeler |
Identifying Species based on Camera Trap Data from Africa |
| 2024 | Master Project | Laura Henning |
Wing Print: Automated Bat Re-Identification Through Distinct Wing Membrane Patterns |
| 2024 | Master Project | Fabian Westphal |
Lynx Re-Identification in the Wild |
| 2024 | Master Project | Jan Boden |
Wolf Re-Identification from Camera Trap Images in the Wild |
| 2024 | Master Thesis | Vishaal Saravanan |
Calving Detection |
| 2023 | Bachelor Thesis | Lena Heinstein |
Ubiquitous Investigation of Overall State of Health Using a Smart Toothbrush in Palliative Care (v 2.0) |
| 2023 | Master Project | Parteek Parteek |
Pose Estimation for Polar Bears |
| 2023 | Master Project | Jie Yi Tan |
Re-Identification for Orcas |
| 2023 | Master Thesis | Sara Zarifi |
Lynx Re-Identification from Camera Trap Images in the Wild |
| 2023 | Master Project | Robert Schröter |
Gallery Size Investigation for Polar Bear Re-ID |
| 2023 | Master Thesis | Nils Steinlein |
Video-based Dataset for Animal Re-Identification |
| 2023 | Master Thesis | Jonas Süßkind |
Video-based Behavior Analysis of Polar Bears Under Human Care |
| 2023 | Master Thesis | Julian Deyerler |
Wing Print: Automated Bat Re-Identification Through Distinct Wing Membrane Patterns |
| 2022 | Master Thesis | Paul Maas |
Ubiquitous Investigation of Overall State of Health Using a Smart Toothbrush in Palliative Care |
| 2022 | Master Thesis | Jonas Beyer |
Unsupervised Polar Bear Re-Identification |
| 2022 | Master Thesis | Philip Stoll |
Long-Term Automated Behavior Monitoring of Captive Polar Bears |
| 2021 | Master Thesis | Richard Dirauf |
Video-based Re-Identification of captive Polar Bears |
| 2021 | Master Thesis | Wenyu Zhang |
Classification of localized defects on silicon carbide (SiC) wafers using domain adaptation techniques |
| 2020 | Bachelor Thesis | Daniel Seitz |
Unsupervised learning for the classification of process steps in spatial-temporal data |
