Paul Walther

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

Research Interests

• Big Data
• Database Structures and Architectures
• Bloom-Filter
• Edge-Computing

Projects

• Bloom Filter als Werkzeug zur Organisation komplexer Geo-Daten

Publications at the Professorship

1. 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] [BibTeX]

   @inproceedings{2024_EDBT_PhDWorkshop_Paul,
     editor = {Themis Palpanas, H V Jagadish},
     author = {Walther, Paul},
     title = {Advancements of Randomized Data Structures for Geospatial Data},
     year = {2024},
     booktitle = {Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference},
     numpages = {4},
     number = {3651},
     url = {https://ceur-ws.org/Vol-3651/PhDW-1.pdf},
     keywords = {geospatial data, geo-data management, randomized data structures, bloom filter, geographic information systems},
     location = {Paestum, Italy}
   }
   

2. 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] [BibTeX]

   @article{2024_sirfqc_Zollner,
     title = {Satellite Image Representations for Quantum Classifiers},
     author = {Zollner, Johann Maximilian and Walther, Paul and Werner, Martin},
     journal = {Datenbank-Spektrum},
     pages = {1--9},
     year = {2024},
     publisher = {Springer},
     doi = {https://doi.org/10.1007/s13222-024-00464-7},
     url = {https://link.springer.com/content/pdf/10.1007/}
   }
   

3. 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] [BibTeX]

   @inproceedings{2023_giscup_Luo,
     author = {Luo, Xuanshu and Walther, Paul and Mansour, Wejdene and Teuscher, Balthasar and Zollner, Johann Maximilian and Li, Hao and Werner, Martin},
     title = {Exploring GeoAI Methods for Supraglacial Lake Mapping on Greenland Ice Sheet},
     year = {2023},
     isbn = {979-8-4007-0168-9/23/11},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3589132.3629971},
     doi = {10.1145/3589132.3629971},
     booktitle = {The 31st ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL '23), November 13--16, 2023, Hamburg, Germany},
     numpages = {4},
     keywords = {supraglacial lakes, image segmentation, satellite imagery, computer vision, mask R-CNN, segment anything model},
     location = {Hamburg, Germany},
     series = {SIGSPATIAL '23}
   }