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

Capacities and deadlines

I am grateful for the great interest in writing a thesis at our chair, but my capacity is limited. In your own interest, please also seek out other supervision options!

I have three places available for the 2026/27 winter semester. Interested students can submit a supervision request to me by July 17. After the deadline, I will review the requests and let you know whether supervision is possible.

Criteria

Please note that I will only consider a supervision request if

  • it contains one or more ideas for a thesis topic
  • your motivation is clearly evident
  • you outline your previous experience in relation to the topic
  • the topic fits in with my main areas of research

Preparation

You can find how to's on the topic of thesis preparation here.

Optional

Step 1: Set aside an hour to research relevant papers on your topic idea.

Step 2: Spend 5-10 minutes on each paper and 

  • carefully read the title, abstract, and introduction,
  • read the section and subsection headings,
  • read the conclusion
  • and decide whether the paper really fits your idea.

Step 3: From the collection of papers that actually fit, choose one that you will read in its entirety. Take an hour to summarize the main theses and findings of the paper.

Step 4: In addition to your supervision request, send me the paper and your summary, as well as your reasoning as to why it fits your topic idea.

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

Nicklas, D., Ackermann, L., Das, D., Amano, T., Rizk, H., & Yamaguchi, H. (2026). Challenges for Federated Crowd Management in Smart Cities. ICDCN Companion ’26: Companion Proceedings of the 27th International Conference on Distributed Computing and Networking, 126–131. https://doi.org/10.1145/3737611.3776621

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

H?gerl, J., Lierheimer, T., Ackermann, L., Nicklas, D., & Foken, T. (2025). ResoMeter: ein Softwarewerkzeug zur Planung mobiler Messungen. METTOOLS XII, 2024, Dresden. https://doi.org/10.20378/irb-106891

Steger, L., Ackermann, L., Das, D., Kapp, A., & Nicklas, D. (2025). Leveraging Gaussian Noise for Balancing Differential Privacy Guarantees and Utility in Mobility Reports. 2025 IEEE International Conference on Pervasive Computing and Communications Workshops and Other Affiliated Events (PerCom Workshops), 489–494. https://doi.org/10.1109/percomworkshops65533.2025.00114

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

H?gerl, J., Lierheimer, T., Ackermann, L., Nicklas, D., & Foken, T. (2024). Softwarewerkzeug zur Planung mobiler Messungen. METTOOLS XII - Programm und Kurzbeitr?ge 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-Universit?t]. 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-Universit?t. 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 / Universit?t Bamberg
  • 2012-2017 Bachelor Comparative Literature / Universit?t Augsburg