Simon Dietz
Simon Dietz, M. Sc.
Researcher & PhD Candidate
91052 Erlangen
Lehrstuhl für Maschinelles Lernen und Datenanalytik
Department Artificial Intelligence in Biomedical Engineering (AIBE)
91052 Erlangen
- Email: simon.j.dietz@fau.de
Office hours
Room 01.020,Academic CV
| Since 06/2022 | Researcher and PhD Candidate Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen (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 |
Research Projects
Publications
Awards
- 01/2018 – 04/2018: Baden-Württemberg-Scholarship, BWS plus
Teaching
Scrum Master of the fireSense team in the Innovation Lab for Wearable and Ubiquitous Computing
Partners & Funding Agencies
