Stephen Meisenbacher

staff sebis natural language processing privacy

School of Computation, Information and Technology
Department of Computer Science, I19
Software Engineering for

Business Information Systems (sebis)

Technical University of Munich
Boltzmannstraße 3
85748 Garching, Germany

Office hours: by appointment

Although I do not currently offer any new thesis or guided research topics, I invite motivated and qualified students interested in privacy and/or NLP to get into contact with me. Please include your specific interest in a topic, as well as your motivation in this particular field.

Curriculum Vitae

Stephen Meisenbacher has been a research associate at the chair for Software Engineering of Business Information Systems at the Technical University of Munich since March 2022. Stephen earned his Master's degree in Informatics at TUM under a DAAD Graduate Scholarship, having concentrated his studies in Machine Learning and Data Analytics. His Master Thesis involved identifying the practical challenges in the implementation of technical measures for data privacy compliance. Before coming to Munich, Stephen earned his Bachelor's of Computer Science at the University of Notre Dame in Indiana, USA. There, he also majored in German Language and Literature, and his honors senior thesis aimed to investigate the strengths and limitations of NLP techniques in the identification of irony in German literature. His Bachelor studies also included three summers in Berlin, as well as a semester at Universität Heidelberg. More recently, Stephen has gained valuable experience in his work as a data science consultant to Loyola University Chicago in Chicago, Illinois.

Research Interests

Privacy-preserving NLP
Hybrid, Expert-Driven Classification Systems
Privacy, Data Protection, and Privacy-Enhancing Technologies
Computational Ethics

Teaching (in reverse chronological order)

Term	Level	Title	Type	Role
SS 2024	Master	Natural Language Processing - Methods and Applications	Seminar	Advisor
SS 2024	Master / Bachelor	Entrepreneurship for small software-oriented enterprises	Seminar	Organizer
SS 2024	Master	Software Engineering for Business Applications (SEBA Master)	Lecture	Advisor
WS 2023/2024	Master / Bachelor	Software Engineering in der industriellen Praxis (IN2235)	Lecture	Organizer (Assistant)
WS 2023/2024	Master	SEBA Lab Course	Lab Course	Advisor
SS 2023	Master	Natural Language Processing - Methods and Applications	Seminar	Advisor
SS 2023	Master / Bachelor	Entrepreneurship for small software-oriented enterprises	Seminar	Organizer
SS 2023	Master	Software Engineering for Business Applications (SEBA Master)	Lecture	Advisor
WS 2022/2023	Master / Bachelor	Software Engineering in der industriellen Praxis (IN2235)	Lecture	Organizer (Assistant)
WS 2022/2023	Master	SEBA Lab Course	Lab Course	Advisor
SS 2022	Master	Natural Language Processing - Methods and Applications	Seminar	Advisor
SS 2022	Master / Bachelor	Entrepreneurship for small software-oriented enterprises	Seminar	Organizer
SS 2022	Master	Software Engineering for Business Applications (SEBA Master)	Lecture	Advisor

Publications

[Kl24b]	Klymenko, A.; Meisenbacher, S.; Lilova, I., Matthes, F.: Investigating the Motivational Factors Influencing Managerial Decisions to Adopt Privacy-Enhancing Technologies, In Proceedings of the 32nd European Conference on Information Systems (ECIS 2024), Paphos, Cyprus, 2024.
[Kl24a]	Klymenko, A.; Meisenbacher, S.; Favaro, L. and Matthes, F. (2024). On the Integration of Privacy-Enhancing Technologies in the Process of Software Engineering. In Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 2, ISBN 978-989-758-692-7, ISSN 2184-4992, pages 41-52. DOI: 10.5220/0012632500003690
2023
[Kl23c]	Klymenko, A.; Meisenbacher, S.; Matthes, F.: The Structure of Data Privacy Compliance. Proceedings of the 3rd International Workshop on Current Information Security and Compliance Issues in Information Systems Research (CIISR 2023), Paderborn, Germany, September 18, 2023.
[Kl23b]	Klymenko, A.; Meisenbacher, S.; Messmer, F.; Matthes, F.: Privacy-Enhancing Technologies in the Process of Data Privacy Compliance: An Educational Perspective. Proceedings of the 3rd International Workshop on Current Information Security and Compliance Issues in Information Systems Research (CIISR 2023), Paderborn, Germany, September 18, 2023.
[Kl23a]	Klymenko, O.; Meisenbacher, S.; Matthes, F.: Identifying Practical Challenges in the Implementation of Technical Measures for Data Privacy Compliance, In Proceedings of the 29th Americas Conference on Information Systems (AMCIS 2023), Panama City, Panama, 2023.
2022
[Vl22a]	Vladika, J.; Meisenbacher, S.; Matthes, F. 2022. TUM sebis at GermEval 2022: A Hybrid Model Leveraging Gaussian Processes and Fine-Tuned XLM-RoBERTa for German Text Complexity Analysis. In Proceedings of the GermEval 2022 Workshop on Text Complexity Assessment of German Text, pages 51–56, Potsdam, Germany. Association for Computational Linguistics.
[Kl22b]	Klymenko, O.; Kosenkov, O.; Meisenbacher, S.; Elahidoost, P.; Mendez, D.; Matthes, F. 2022. Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance: A Qualitative Study. In Proceedings of the 16th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM '22). Association for Computing Machinery, New York, NY, USA, 261–271. https://doi.org/10.1145/3544902.3546234
[Kl22a]	Klymenko, O.; Meisenbacher, S.; Matthes, F.: Differential Privacy in Natural Language Processing: The Story So Far. In Proceedings of the Fourth Workshop on Privacy in Natural Language Processing, pages 1–11, Seattle, United States. Association for Computational Linguistics. 2022.
[Me22]	Meisenbacher, S.: Identifying Practical Challenges in the Implementation of Technical Measures for Data Privacy Compliance - Master's Thesis: Technische Universität München, Munich, Germany, 2022.