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Stephen Meisenbacher

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

stephen.meisenbacher [at] tum.de

Room FMI  01.12.040

Office hours: by appointment

I offer guided research and thesis topics to motivated student interested in privacy, NLP, or ideally a mix of the two. Feel free to reach out to me to discuss! 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
WS 2023/2024 Master / Bachelor Software Engineering in der industriellen Praxis (IN2235) Lecture Organizer
(Assistant)
WS 2023/2024 Master SEBA Lab Course Lecture 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) Lab Course Advisor
WS 2022/2023 Master / Bachelor Software Engineering in der industriellen Praxis (IN2235) Lecture Organizer
(Assistant)
WS 2022/2023 Master SEBA Lab Course Lecture 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) Lab Course Advisor

 

Publications

[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.

[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 ThesisTechnische Universität München, Munich, Germany, 2022.