Leo Schwinn

Leo Schwinn, M. Sc.

Researcher & PhD Candidate

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)

Room: Room 01.016
Carl-Thiersch-Straße 2b
91052 Erlangen
Germany

 since 09/2019 Researcher and PhD Candidate

Machine Learning and Data Analytics Lab,
Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

01/2019-03/2019 Scientific Assistant

IT Security Infrastructures Lab (CS1),
Department of Computer Science, Friedrich-Alexander-Universität (FAU)

10/2017-08/2019 M.Sc. in Medical Engineering, “Medical Image and Data Processing”

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

Majors: Pattern Recognition, Machine Learning, Deep Learning
Master’s Thesis: “Learning Feature Extraction for End-to-End Speaker Recognition with Deep Neural Networks”

 10/2014-10/2017 B.Sc. in Medical Engineering, “Medical Imaging Systems”

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

Majors: Pattern Recognition
Bachelor’s Thesis: “Unterscheidung von Sprachpathologien durch Sprechererkennungsverfahren”

2021

2020

2019

Year Name Type Title
2021 Klaus Fischer Master Project Unsupervised Adversarial Representation Learning
2021 Kenneth Mayer Master Project Improving Human Gait Analysis by Super-Resolution and Generative Adversarial Networks
2021 Meike Biendl Master Thesis Exploring Connections between Visual Attention and Adversarial Robustness
2021 Pavlo Beylin Master Thesis Simultaneous Classification and Identification of Adversarial Attacks Through Multi-Task Learning
2021 Johannes Roider
Master Thesis Modeling Mixed-Type Time Series Data With Neural Networks for Predictive Maintenance
2021 Tassilo Elsberger Master Thesis Analysis of Artificial Intelligence Trends in German Economics and Politics – A Data-Driven Approach
2021 Miaomiao Li Master Thesis Adaptive Lipschitz Regularization of Neural Networks through Matrix Decomposition
2021 Long Do Master Thesis Artificial Intelligence trend analysis using speech-to-text data from healthcare podcasts
2020 Pavlo Beylin Master Project Development of a Modular Adversarial Attack Framework and Evaluation on the Sampled Nonlocal Gradient Descent Method
2020 Osman Demir Master Thesis group:Anomaly Semantic Segmentation with Learnable Wavelet Filters
2020 Darko Boshkovski Bachelor Thesis group:Using speech recognition techniques for the application of online handwriting recognition