SD

Simon Dietz

Chair of Machine Learning and Data Analytics

Research associates

Contact

06/2022 - presentResearcher and PhD Candidate
Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen (DE)
Machine Learning and Data Analytics Lab
05/2022 - presentData Scientist and Researcher
Siemens Healthineers, Forchheim (DE)
04/2019 - 09/2021M.Sc in Medical Engineering “Medical Image and Data Processing”
Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen (DE)
Master's Thesis:  Machine Learning Methods for Mixed-Type Time Series Analysis.
09/2018 - 02/2019Internship
STORZ Endoskop Produktions GmbH, Schaffhausen (CH)
Design and Quality Assurance
10/2015 - 02/2019B.Sc in Medical Engineering
Hochschule Furtwangen University, Villingen-Schwenningen (DE)
Bachelor's Thesis: Automated Test Stand for Medical Devices with Graphical User Interface. Integration of the Overall System and Test Operation Using a Sample Device.
01/2018 - 04/2018Semester Abroad
University of New Brunswick, Fredericton (CA)
08/2017 - 12/2017Internship
STORZ Endoskop Produktions GmbH, Schaffhausen (CH)
Design and Quality Assurance

2025

2024

Scrum Master for the Innovation Lab for Wearable and Ubiquitous Computing (InnoLab)

 Student Supervision

YearNameTitle
2025Matt YarmatovPersonalized Log-File Anomaly Detection(Master's Project)
2024Akshay SharmaLeveraging NLP Techniques for Efficient Log File Processing
and Anomaly Detection(Master's Thesis)
2023Dmitrii MaksimovPersonalized Real-Time Anomaly Detection on Event Sequences(Master's Project)
2023Betelhem NebebeSounds Interesting - Neural Visual Attention with Audio-Video Self-Learning Systems(Master's Project)
2023Annika WünschExplaining Infuential Diferences in Human Gait Datasets on Machine Learning Tasks(Bachelors's Thesis, co-supervision)
2023Johannes EnkThe Art of Shrinking Down Neural Networks(Research Internship)
2022Jelina UngerCreating Danger Maps by Combining the Risk Index of Forest Fires and the Accessibility of Regions(Research Internship)

 

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