Philipp Dumbach
Philipp Dumbach, M. Sc.
Researcher & PhD Candidate
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/
Academic CV
| Since 11/2017 | Research Associate at the Machine Learning and Data Analytics Lab Friedrich-Alexander-Universität Erlangen-Nürnberg |
| 06/2021 – 11/2022 | Scientific Advisor for AI Strategy (Presidential Staff) Friedrich-Alexander-Universität Erlangen-Nürnberg |
| 11/2017 – 05/2021 | Research Associate at the Central Institute of Medical Engineering (ZiMT) Friedrich-Alexander-Universität Erlangen-Nürnberg |
| 10/2014 – 05/2017 | Master’s Degree (M. Sc.) “Industrial Engineering and Management“ Friedrich-Alexander-Universität 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-Universität Erlangen-Nürnberg |
Publications
2023
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Artificial intelligence trend analysis on healthcare podcasts using topic modeling and sentiment analysis: a data-driven approach
In: Evolutionary Intelligence (2023)
ISSN: 1864-5909
DOI: 10.1007/s12065-023-00878-4
URL: https://link.springer.com/article/10.1007/s12065-023-00878-4
BibTeX: Download - , , , , :
Artificial intelligence trend analysis in German business and politics: a web mining approach
In: International Journal of Data Science and Analytics (2023), p. 1-22
ISSN: 2364-415X
DOI: 10.1007/s41060-023-00483-9
URL: https://link.springer.com/article/10.1007/s41060-023-00483-9
BibTeX: Download
2021
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The Adoption Of Artificial Intelligence In SMEs - A Cross-National Comparison In German And Chinese Healthcare
20th International Conference on Perspectives in Business Informatics Research (BIR 2021) Workshops (ILOG 2021) (Vienna, Austria (fully-virtual conference), 22. September 2021 - 24. September 2021)
In: Forbig P., Hinkelmann K., Kirikova M., Lantow B., Møller C., Morichetta A., Plebani P., Re B., Sandkuhl K., Seigerroth U. (ed.): Joint Proceedings of the BIR 2021 Workshops and Doctoral Consortium co-located with 20th International Conference on Perspectives in Business Informatics Research (BIR 2021) 2021
URL: http://ceur-ws.org/Vol-2991/paper08.pdf
BibTeX: Download - , , :
Integration of Artificial Intelligence in the Organizational Adoption – A Configurational Perspective
Forty-Second International Conference on Information Systems (Austin, 11. December 2021 - 15. November 2021)
In: Association for Information Systems (ed.): ICIS 2021 Proceedings 2021
URL: https://aisel.aisnet.org/icis2021/is_implement/is_implement/2/
BibTeX: Download
2020
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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
Teaching
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 |
| 2022 | Master Thesis | Tim Löhr | AI Trend Detection in Healthcare by applying Topic Clustering and Sentiment Analysis using Podcast Data |
Open student projects
[B] = Bachelor’s Thesis, [M] = Master’s Thesis, [I] = Implementation Task (for Computer Science “Master Project” or Medical Engineering “Research Internship” (Forschungspraktikum))
Research Projects
- 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.
Talks
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.