Matthias Zürl

Matthias Zürl, M. Sc.

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

Room: Room 01.010
Carl-Thiersch-Straße 2b
91058 Erlangen

Since 07/2019 Researcher at the Machine Learning and Data Analytics Lab
Friedrich-Alexander University of Erlangen-Nuremberg
Since 07/2019 Coach of the Innovation Lab for Wearable and Ubiquitous Computing
Friedrich-Alexander University of Erlangen-Nuremberg
04/2016 – 12/2018 Research assistant at the Chair of Applied Physics
Friedrich-Alexander University of Erlangen-Nuremberg
10/2012 – 09/2015 Masters Degree in Physics
Friedrich-Alexander-University Erlangen-Nuremberg
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-University Erlangen-Nuremberg
10/2011 – 10/2015 Bachelors Degree in Math and Physics
Friedrich-Alexander-University Erlangen-Nuremberg
Bachelor Thesis: “Entwicklung und Aufbau eines Experiments für das physikalische Praktikum für Fortgeschrittene: Transporteigenschaften von Ladungsträgern in Halbleitern – Hall-Effekt”

Courses

Innovation Lab for Wearable and Ubiquitous Computing

Material

On 01.12.2020 I gave a workshop with the title Deep Learning together with my colleague Stefan Seegerer. Within this work we created a cheatsheet for Pytorch, which turned out to be pretty helpful:

pytorch-cheatsheet-DE

pytorch-cheatsheet-EN

Year Type Student Titel
2021 Bachelor Thesis Ameni Gatri

Influence of gait test length on classification of mobility impairment in Parkinson’s Disease

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