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
• Mobility 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., Rieger, C., & Werner, M. (2026). Efficient Pruning of Range Queries under Fréchet Distance. In G. Vargas-Solar, K. Stefanidis, T. Palpanas, A. Chanson, M. Mohanty, P. Vassiliadis, T. Welzer, E. Gallinucci, V. Peralta, P. Marcel, & M. Halfeld-Ferrari (Eds.), New Trends in Database and Information Systems. Springer Nature Switzerland. [PDF]
2. Teuscher, B., Walther, P., Poku-Agyemang, K. N., & Werner, M. (2026). Ray Queries On Raw Point Clouds. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
3. Teuscher, B., Luo, X., Walther, P., & Werner, M. (2026). Investigating Array Programming for Spatial Operations with Vector Geometries. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
4. Luo, X., Fogarasi, G., Syrgak, A., Walther, P., & Werner, M. (2026). Quantization-Aware Training for Efficient Object Detection on FPGAs: Case Studies. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
5. Mammadov, R., Walther, P., Fricke, J., & Werner, M. (2026). Generalizability of Foundation Models: A Case Study on Cocoa Mapping Across Countries Using Sparse Labels. AGILE: GIScience Series, 7, 13. https://doi.org/10.5194/agile-giss-7-13-2026 [PDF] [Online]
6. Walther, P., Teuscher, B., Luo, X., & Werner, M. (2026). TrajGen: Approaches to the Artificial Generation of Trajectory Datasets. 2026 27th IEEE International Conference on Mobile Data Management (MDM).
7. Walther, P., Luo, X., Teuscher, B., & Werner, M. (2026). TrajGen: Demonstrating a Tool for Interactive Trajectory Generation in the Browser. 2026 27th IEEE International Conference on Mobile Data Management (MDM).
8. Walther, P., & Werner, M. (2026). Learning Bloom Filters: A Review. In R. C.-W. Wong, H. Tong, H. Lu, J. Kwok, F. Salim, Y. Song, & M. L. Yiu (Eds.), Advances in Knowledge Discovery and Data Mining (pp. 132–149). Springer Nature Singapore. https://doi.org/10.1007/978-981-92-1468-6_8 [Online]
9. Laass, M., Walther, P., Mansour, W., & Werner, M. (2026). CascadeCBF: Probabilistic Counting for Sparse Spatial Point Clouds. AGILE: GIScience Series, 7, 31. https://doi.org/10.5194/agile-giss-7-31-2026 [PDF] [Online]
10. Mansour, W., Walther, P., Li, H., & Werner, M. (2026). Investigating the Generalizability of Segment Anything Model for Large-Scale Geospatial Segmentation. AGILE: GIScience Series, 7, 14. https://doi.org/10.5194/agile-giss-7-14-2026 [PDF] [Online]
11. Fang, T., Luo, X., Walther, P., & Werner, M. (2025). Human Mobility Prediction with Multi-Task Curriculum Training. In M. Mokbel, S. Shekar, A. Züfle, Y.-Y. Chiang, M. L. Damiani, & M. A. Youssef (Eds.), Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems (pp. 1238–1241). ACM. https://doi.org/10.1145/3748636.3771316 [PDF] [Online]
12. Walther, P., Mansour, W., Zollner, J. M., & Werner, M. (2026). Extending the Applicability of Bloom Filters by Relaxing Their Parameter Constraints. In P. K. Chrysanthis, K. Nørvåg, K. Stefanidis, Z. Zhang, E. Quintarelli, & E. Zumpano (Eds.), New Trends in Database and Information Systems (pp. 14–23). Springer Nature Switzerland. https://doi.org/https://doi.org/10.1007/978-3-032-05727-3_2 [PDF] [Online]
13. Teuscher, B., Walther, P., Wang, J., & Werner, M. (2025). A Taxonomy of Point Cloud Search. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-4/W6-2025, 185–192. https://doi.org/10.5194/isprs-annals-X-4-W6-2025-185-2025 [PDF] [Online]
14. Chorapalli, J., Bereczky, M., Rashkovetsky, D., Walther, P., & Werner, M. (2024). A Deep Learning Approach for Active Fire Detection Using Multi-Temporal Geostationary Satellite Data. 31–33. https://forest-fires.earsel.org/workshop/13-FF-2024/wp-content/uploads/2024/11/EARSeL_Forest_Fires_2024_ws_BookAbstracts_final.pdf [Online]
15. Soares, N., Walther, P., & Werner, M. (2025). Experiments on Geospatial Data Modelling for Long-Term Trajectory Prediction of Aircrafts. AGILE: GIScience Series, 6, 46. https://doi.org/10.5194/agile-giss-6-46-2025 [PDF] [Online]
16. 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]
17. 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]
18. 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]
19. 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]
20. 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]
21. 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

• Generalization of Cocoa Mapping Across Countries Using Foundation Models and Sparse Labels (MT)
• Transformer-Based Approaches for Track-to-Track Association in Space Object Cataloging (MT)
• Investigating Continuous-Time Dynamic Graphs and Temporal Graph Networks for Human Mobility Prediction in Urban Areas (BT)
• Anonymizing Trajectories with Transition Bloom Filters (BT)
• Enhancing Geospatial Data Modeling for Long-Term Trajectory Prediction for Aircraft (MT)
• Enhancing Scalable Video Transmission via Satellite Networks Using the QUIC Transport Protocol (BT)
• A Deep Learning Approach for Active Fire Detection Using Geostationary Satellite Data (MT)