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-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
