Alexandra Klymenko

Technical University of Munich
School of Computation, Information and Technology
Department of Computer Science
Software Engineering for Business Information Systems (sebis)

Boltzmannstraße 3
85748 Garching, Germany

alexandra.klymenko at tum.de

Room FMI 01.12.060

Office hours: by appointment

Open Thesis Topics

Unfortunately, at the moment, I do not have the capacity to supervise new theses.

Curriculum Vitae

Alexandra (Oleksandra) Klymenko has been a Research Associate at the chair for Software Engineering of Business Information Systems at the Technical University of Munich since July 2019.

Alexandra holds a Master’s degree in Information Systems from the Technical University of Munich, as well as Master’s degrees in Informatics and Finance from Taras Shevchenko National University of Kyiv, Ukraine.

Research

Current Projects

Completed Projects

Research Interests

Data Privacy and Compliance
Privacy-Enhancing Technologies
Usable Privacy and Security
Natural Language Processing (NLP)
LegalTech

hackaTUM

hackaTUM is the official hackathon of the Department of Informatics at the Technical University of Munich, which has taken place annually since 2016 and has grown to be one of the largest of its kind in the EU. The hackathon comprises a massive three-day event, where highly motivated TUM students of various levels and backgrounds work on exciting, cutting-edge projects with a host of leading industry partners. In addition to coding challenges, there are also excellent opportunities for academic-industry exchange, supported by workshops and networking events.

The next edition of hackaTUM will take place on November 22-24, 2024!

If you are interested in sponsoring the event, just contact me. Further information can be found at http://hack.tum.de

Teaching

Term	Level	Title	Type	Role
SS 2024	Master	Software Engineering for Business Applications - Master Course	Lecture & Projects	Advisor
SS 2023	Master	Software Engineering for Business Applications - Master Course	Lecture & Projects	Advisor
WS 2022/2023	Master	SEBA Lab Course	Practical lab course	Advisor
SS 2022	Master	Software Engineering for Business Applications - Master Course	Lecture & Projects	Advisor
WS 2021/2022	Master	SEBA Lab Course	Practical lab course	Organizer, Advisor
SS 2021	Master	Software Engineering for Business Applications - Master Course	Lecture & Projects	Advisor
SS 2021	Master	Natural Language Processing - Methods and Applications	Seminar	Advisor
WS 2020/2021	Master	SEBA Lab Course	Practical lab course	Advisor
SS 2020	Master	Software Engineering for Business Applications - Master Course	Lecture & Projects	Advisor
SS 2020	Master	Natural Language Processing - Methods and Applications	Seminar	Advisor
WS 2019/2020	Master	Master Lab Course Web Applications	Practical lab course	Advisor

Publications

[Me24e]	Meisenbacher, S.; Klymenko, A.; Kelley, P.G.; Peddinti, S.T.; Thomas, K.; Matthes, F. Privacy Risks of General-Purpose AI Systems: A Foundation for Investigating Practitioner Perspectives. In SUPA@SOUPS'24 (2024).
[Kl24c]	Klymenko, A.; Meisenbacher, S.; Polat, A. A.; and Matthes, F.: Breaking Down Privacy by Design: A Threefold Perspective (2024). AMCIS 2024 Proceedings. 30.
[Vl24d]	Vladika, J.; Meisenbacher, S.; Preis, M.; Klymenko, A.; and Matthes, F.: Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective (2024). AMCIS 2024 Proceedings. 1
[Me24a]	Meisenbacher, S.; Nandakumar, N.; Klymenko, A.; Matthes, F.: A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking the Privacy-Utility Trade-off. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy, 2024.
[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
[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.
[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. https://doi.org/10.18653/v1/2022.privatenlp-1.1
[Br21b]	Braun, D., Klymenko, O., Schopf, T., Akan, K., Matthes, F.: The Language of Engineering: Training a Domain-Specific Word Embedding Model for Engineering, 2nd International Conference on Industrial Engineering and Artificial Intelligence (IEAI), Osaka, Japan, 2021. https://doi.org/10.1145/3460824.3460826
[Gl20b]	Glaser, I.; Huynh T.; Klymenko, O.; Matthes, F.: Die Essenz der "Legal Document Automation Tool Survey 2020". REthinking: Law - Volume 6: 2020, pages 80-84
[Kl20a]	Klymenko, O.; Braun, D. Matthes, F.: Automatic Text Summarization: a State-of-the-art Review, Proceedings of the 22th International Conference on Enterprise Information Systems - Volume 1: ICEIS, Prague, Czech Republic, 2020. https://doi.org/10.5220/0009723306480655
[Link]	Glaser, I., Huynh, T., Klymenko, O., Labrenz, B., Matthes, F.: Legal Document Automation Tool Survey 2020, Technische Universität München, Munich, Germany, 2020.
[Link]	Klymenko, O.: Automatic Documentation of Results During Online Architectural Meetings - Master's Thesis: Technische Universität München, Munich, Germany, 2019.
[Sh18]	Shumaiev, K., Bhat, M., Klymenko, O., Biesdorf, A., Hohenstein, U., & Matthes, F.: Uncertainty Expressions in Software Architecture Group Decision Making, Proceedings of the 12th European Conference on Software Architecture: Companion Proceedings, Madrid, Spain, 2018. https://doi.org/10.1145/3241403.3241447