Philipp Dumbach
Philipp Dumbach, M. Sc.
Research Associate
Carl-Thiersch-Str. 2b
91052 Erlangen
Germany
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik
Carl-Thiersch-Str. 2b
91052 Erlangen
Germany
- Phone number: +49 9131 85-20285
- Email: philipp.dumbach@fau.de
- Website: https://www.mad.tf.fau.de/person/dumbach-philipp-m-sc/
| Since 11/2017 | Research Associate at the Machine Learning and Data Analytics Lab Friedrich-Alexander University Erlangen-Nürnberg |
| Since 11/2017 | Research Associate at the Central Institute of Medical Engineering (ZiMT) Friedrich-Alexander University Erlangen-Nürnberg |
| 10/2014 – 05/2017 | Master’s Degree (M. Sc.) “Industrial Engineering and Management“ Friedrich-Alexander University Erlangen-Nürnberg |
| 07/2015 – 12/2015 | Semester Abroad in Australia Royal Melbourne Institute of Technology (RMIT) |
| 10/2011 – 01/2015 | Bachelor’s Degree (B. Sc.) “Industrial Engineering and Management” Friedrich-Alexander University Erlangen-Nürnberg |
2020
- , , , :
Exploration of Process Mining Opportunities In Educational Software Engineering - The GitLab Analyser
13th International Conference on Educational Data Mining (Ifrane, Morocco (Fully Virtual Conference), 10. July 2020 - 13. July 2020)
In: Anna N. Rafferty, Jacob Whitehill, Cristobal Romero, Violetta Cavalli-Sforza (ed.): Proceedings of the 13th International Conference on Educational Data Mining 2020
Open Access: https://educationaldatamining.org/files/conferences/EDM2020/papers/paper_239.pdf
URL: https://educationaldatamining.org/files/conferences/EDM2020/EDM2020Proceedings.pdf
BibTeX: Download
Courses
| Innovation Lab for Wearable and Ubiquitous Computing |
| Seminar Medical Devices of the Future |
| Seminar Operating Room of the Future |
| MedTech Entrepreneurship Lab |
Thesis supervision
| Year | Type | Name | Title |
| 2019 | Bachelor Thesis | Ilija Borodin | Modeling regional relationships – an automated network based website analysis |
| 2019 / 2020 | Master Thesis | Alexander Aly | Data Analysis and Process Mining opportunities with Git and GitLab log data in agile university projects |
| 2020 | Master Thesis | Ruining Liu | Adoption of Artificial Intelligence in healthcare SMEs: a qualitative-empirical interview study |
| 2020 | Bachelor Thesis | Johannes Jablonski | Application of data and process analysis techniques for the evaluation of agile university projects |
| 2020 | Master Thesis | Long Do | Artificial Intelligence trend analysis using speech-to-text data from healthcare podcasts |
| 2020 / 2021 | Master Thesis | Tassilo Elsberger | Analysis of Artificial Intelligence Trends in German Economics and Politics – A Data-Driven Approach |
[B] = Bachelor’s Thesis, [M] = Master’s Thesis, [I] = Implementation Task (for Computer Science “Master Project” or Medical Engineering “Research Internship” (Forschungspraktikum))
- The GitLab Analyser – Process Mining opportunities in educational software engineering.
Standalone application is available here (Windows).
- Green Belt ML@Operations
This project develops a seminar on applied machine learning for engineers in production and quality.
2020
- “Entrepreneurship in MedTech and Digital Health – From Medical Valley on your journey through Europe”, life@FAU, FAU Graduate School for Life Sciences, Universitätsklinikum Erlangen, Erlangen.
2019
- “Entrepreneurship in MedTech and Digital Health – from Medical Valley to Europe”, life@FAU, FAU Graduate School for Life Sciences, Universitätsklinikum Erlangen, Erlangen.
- “Medical Technology at FAU – EIT Health MedTech Bootcamp 2019”, MEDICEN Paris Region, Paris.
2018
- “How to pitch”, HACK|BAY 2018, ZOLLHOF Tech-Incubator, Nürnberg.