Richard Dirauf
Richard Dirauf, M. Sc.
Researcher & PhD Candidate
Carl-Thiersch-Straße 2b
91052 Erlangen
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik
Carl-Thiersch-Straße 2b
91052 Erlangen
- Email: richard.dirauf@fau.de
| Since 04/2022 | Researcher and PhD Candidate Machine Learning and Data Analytics Lab at Friedrich-Alexander-University Erlangen-Nürnberg Siemens Healthineers Forchheim |
| 10/2019 – 04/2022 |
Master’s Degree in Computer Science Machine Learning and Data Analytics Lab at Friedrich-Alexander-University Erlangen-Nürnberg Master Thesis: “Video-based Re-Identification of captive Polar Bears” |
| 09/2018 – 10/2018 | Summer School Sarntal (Ferienakademie) Organized by FAU, TUM, University of Stuttgart Topic: “The Sarntaler: A Cryptocurrency for the Summer School” |
| 10/2020 – 02/2021 & 10/2018 – 02/2019 & 10/2017 – 02/2018 |
Teaching Assistant Foundations of Computer Engineering at Friedrich-Alexander-University Erlangen-Nürnberg |
| 10/2016 – 11/2019 | Bachelor‘s Degree in Computer Science IT Security Infrastructures Lab at Friedrich-Alexander-University Erlangen-Nürnberg Bachelor Thesis: “A Semantical Examination of Forensic Traces from Modern Browsers” |
2023
- , , , , , , , , :
PolarBearVidID: A Video-Based Re-Identification Benchmark Dataset for Polar Bears
In: Animals 13 (2023), p. 801
ISSN: 2076-2615
DOI: 10.3390/ani13050801
BibTeX: Download
2020
- , , :
Systematic Analysis of Browser History Evidence
13th International Conference on Systematic Approaches to Digital Forensic Engineering (SADFE) (New York, 15. May 2020 - 15. May 2020)
In: IEEE (ed.): 2020 13th International Conference on Systematic Approaches to Digital Forensic Engineering (SADFE) 2020
DOI: 10.1109/SADFE51007.2020.00010
BibTeX: Download
| WS 2024/25 | Machine Learning for Time Series (MLTS) Exercises |
| SS 2024 | The Tensor Tournament T3 Machine Learning for Time Series (MLTS) |
| WS 2023/24 | Machine Learning for Time Series (MLTS) Exercises |
| SS 2023 | Machine Learning for Time Series (MLTS) |
| WS 2022/23 | The Tensor Tournament T3 Machine Learning for Time Series (MLTS) Exercises |
| SS 2022 | Maschinelles Lernen und Datenanalytik für Industrie 4.0 |
| Year | Type | Name | Title |
| 2023/24 | Bachelor Thesis | Paula Limmer | Development and Evaluation of an Application for Patient-Specific Contrast Media Computation in CT Scans |
| 2023 | Master Thesis (co-supervisor) | Nils Steinlein | The creation and evaluation of a video-based polar bear Re-Identification dataset on current Re-ID methods |
| 2023 | Master Project | Anugya Sahu | Solving Combinatorial Optimization Problems with Transformers |
Partners & Funding Agencies
