Paul Walther

E-Mail:	paul.walther(at)tum.de
Telefon:	089 289 55559
Raum:	01.9377.113
Anschrift:	Technische Universität München Paul Walther Lise-Meitner-Str. 9 85521 Ottobrunn

Forschungsinteressen

• Big Data
• Datenstrukturen und Datenbankarchitekturen
• Bloom-Filter
• Edge-Computing

Projekte

• Bloom Filter als Werkzeug zur Organisation komplexer Geo-Daten

Publikationen an der Professur

1. Walther, P., Luo, X., & Werner, M. (2024). TraBiMap: Reducing Privacy Concerns in Trajectory Analysis with Randomized Data Representations. 2nd ACM SIGSPATIAL International Workshop on Geo-Privacy and Data Utility for Smart Societies. https://doi.org/10.1145/3681768.3698496 [PDF] [Online]
2. Walther, P., Deuser, F., & Werner, M. (2024). Multi-Modal Contextualization of Trajectory Data for Advanced Analysis. Datenbank-Spektrum. https://doi.org/10.1007/s13222-024-00484-3 [PDF] [Online]
3. Li, H., Deuser, F., Yin, W., Luo, X., Walther, P., Mai, G., Huang, W., & Werner, M. (2025). Cross-view geolocalization and disaster mapping with street-view and VHR satellite imagery: A case study of Hurricane IAN. ISPRS Journal of Photogrammetry and Remote Sensing, 220, 841–854. https://doi.org/https://doi.org/10.1016/j.isprsjprs.2025.01.003 [PDF] [Online]
4. Walther, P. (2024). Advancements of Randomized Data Structures for Geospatial Data. In H. V. J. Themis Palpanas (Ed.), Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference (Number 3651). https://ceur-ws.org/Vol-3651/PhDW-1.pdf [PDF] [Online]
5. Zollner, J. M., Walther, P., & Werner, M. (2024). Satellite Image Representations for Quantum Classifiers. Datenbank-Spektrum, 1–9. https://doi.org/https://doi.org/10.1007/s13222-024-00464-7 [PDF] [Online]
6. Luo, X., Walther, P., Mansour, W., Teuscher, B., Zollner, J. M., Li, H., & Werner, M. (2023). Exploring GeoAI Methods for Supraglacial Lake Mapping on Greenland Ice Sheet. The 31st ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’23), November 13–16, 2023, Hamburg, Germany. https://doi.org/10.1145/3589132.3629971 [PDF] [Online]

Beaufsichtigte Abschlussarbeiten

• Enhancing Geospatial Data Modeling for Long-Term Trajectory Prediction for Aircraft
• Enhancing Scalable Video Transmission via Satellite Networks Using the QUIC Transport Protocol
• A Deep Learning Approach for Active Fire Detection Using Geostationary Satellite Data