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Information Systems and Applied Computer Sciences

Chair of Mobile Systems

  1.  University of bamberg
  2. Faculties
  3. Information Systems and Applied Computer Sciences
  4. Subject groups
  5. Computer Science
  6. Chair of Mobile Systems
  7. Team
  8. Leonie Ackermann

Leonie Ackermann

Research Assistant

 

Research Topics

  • Data quality and citizen participation in the urban knowledge society
    • Conditions for the success of crowdsensing campaigns
    • Effects on data quality
    • Impact on citizens' acceptance and perception
  • Climate and mobility data

Theses

My supervision capacities are currently fully occupied. Incoming supervision requests will neither be considered nor placed on a waiting list until further notice.

Supervised and completed thesis topics

Crowdsensing

  • Development of an Interactive Tool for Curating Environmental Data from a Citizen-initiated Campaign

Anonymization of Mobility Data

  • Analyzing and Adapting Privacy Metrics for Open Intermodal Mobility Data
  • A Comprehensive Approach to Detect and Eliminate Fake Devices for Crowd Monitoring in Smart Cities
  • Comparing Noise Mechanisms for Differential Privacy in Mobility Data Reports
  • Monitoring Tourist Groups in Smart Cities Through Mobile Device Signal Anlysis

Publications

Ackermann, L., Baum, C., Litvin, A., & Nicklas, D. (2025). CrowdAnym: Kurzdokumentation des Mobilithek Datensatzes (pp. 1–8). Otto-Friedrich-Universität. https://doi.org/10.20378/irb-97611

Ackermann, L., Akcabay, S., Benabbas, A., Khalil, R. E., & Nicklas, D. (2024). Enhancing Data Quality and Collaboration in Participatory Climate Data Crowdsensing. 8, 655–660. https://doi.org/10.1109/percomworkshops59983.2024.10502897

Högerl, J., Lierheimer, T., Ackermann, L., Nicklas, D., & Foken, T. (2024). Softwarewerkzeug zur Planung mobiler Messungen. METTOOLS XII - Programm und Kurzbeiträge zur Tagung des Fachausschusses Umweltmeteorologie FA UMET der Deutschen Meteorologischen Gesellschaft DMG e. V. vom 26. bis 28. November 2024 in Dresden, 60. https://doi.org/10.5281/zenodo.14535049

Ackermann, L. V. (2023). Design of a Smart Community Event Planning Platform [Otto-Friedrich-Universität]. https://doi.org/10.20378/irb-59764

Ackermann, L., Baum, C., Litvin, A., Nicklas, D., & Khalil, S. I. (2023). Privacy-aware Publication of Wi-Fi Sensor Data for Crowd Monitoring and Tourism Analytics. GeoPrivacy ’23: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geo-Privacy and Data Utility for Smart Societies, 20–23. https://doi.org/10.1145/3615889.3628513

Ackermann, L., Mühlhauser, M., Burdusel, A., Federlin, M., Herrmann, D., Holly, S., Nicklas, D., & Wolpert, D. (2023). Towards Anonymizing Intermodal Mobility Data for Smart Cities. GeoPrivacy ’23: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geo-Privacy and Data Utility for Smart Societies, 24–27. https://doi.org/10.1145/3615889.3628514

Ackermann, L., & Demko, K. (2022). Projektbericht: Befragung der Zivilgesellschaft zu Geodaten in Bamberg. Otto-Friedrich-Universität. https://doi.org/10.20378/irb-53254

Background

  • 2023-present Research Assistant at the Chair of Mobile Sytems
  • 2017-2023 Master Computing in the Humanities / Universität Bamberg
  • 2012-2017 Bachelor Comparative Literature / Universität Augsburg