Simon Dietz
Simon Dietz, M. Sc.
Researcher & PhD Candidate
Carl-Thiersch-Straße 2b
91052 Erlangen
Lehrstuhl für Maschinelles Lernen und Datenanalytik
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Carl-Thiersch-Straße 2b
91052 Erlangen
- Email: simon.j.dietz@fau.de
Office hours
Room 01.020,| 06/2022 – present | Researcher and PhD Candidate Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen (DE) Machine Learning and Data Analytics Lab |
| 05/2022 – present | Data Scientist and Researcher Siemens Healthineers, Forchheim (DE) |
| 04/2019 – 09/2021 | M.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 – 02/2019 | Internship STORZ Endoskop Produktions GmbH, Schaffhausen (CH) Design and Quality Assurance |
| 10/2015 – 02/2019 | B.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 – 04/2018 | Semester Abroad University of New Brunswick, Fredericton (CA) |
| 08/2017 – 12/2017 | Internship STORZ Endoskop Produktions GmbH, Schaffhausen (CH) Design and Quality Assurance |
2024
- , , , , :
How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series
International Joint Conference on Neural Networks (IJCNN) (Yokohama, 30. June 2024 - 5. July 2024)
DOI: 10.1109/IJCNN60899.2024.10650421
URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10650421
BibTeX: Download
- 01/2018 – 04/2018: Baden-Württemberg-Scholarship, BWS plus
Scrum Master for the Innovation Lab for Wearable and Ubiquitous Computing (InnoLab)
Student Supervision
| Year | Name | Title |
| 2024 | Akshay Sharma | Leveraging NLP Techniques for Efficient Log File Processing and Anomaly Detection (Master’s Thesis) |
| 2023 | Dmitrii Maksimov | Personalized Real-Time Anomaly Detection on Event Sequences
(Master’s Project) |
| 2023 | Betelhem Nebebe | Sounds Interesting – Neural Visual Attention with Audio-Video Self-Learning Systems
(Master’s Project) |
| 2023 | Annika Wünsch | Explaining Infuential Diferences in Human Gait Datasets on Machine Learning Tasks
(Bachelors’s Thesis, co-supervision) |
| 2023 | Johannes Enk | The Art of Shrinking Down Neural Networks
(Research Internship) |
| 2022 | Jelina Unger | Creating Danger Maps by Combining the Risk Index of Forest Fires and the Accessibility of Regions
(Research Internship) |
Partners & Funding Agencies
