Prof. Dr. Klaus Meyer-Wegener

2025

• Hahn, T., Langohr, M., Becher, A., Beena Gopalakrishnan Nair, L., Meyer-Wegener, K., Teich, J., & Wildermann, S. (2025). ReProVide: Query Optimization and Near-Data Processing on Reconfigurable SoCs for Big Data Analysis. In Scalable Data Management for Future Hardware. (pp. 171-197).
• Hahn, T., Langohr, M., Meißner, S., Döring, B., Wildermann, S., Meyer-Wegener, K., & Teich, J. (2025). ReProVide: Query Optimisation and Near-Data Processing on Reconfigurable SoCs for Big Data Analysis. In Proceedings of the 21st Conference on Database Systems for Business, Technology and Web (pp. 899-906). Bamberg, DE.
• Sigl, M., & Meyer-Wegener, K. (2025). Towards Learning to Rank Deep-Learning Models for Multivariate Time-Series Transfer Learning. In DEEM '25: Proceedings of the Workshop on Data Management for End-to-End Machine Learning (pp. 2). Berlin, DE: New York, NY: Association for Computing Machinery, Inc.

2023

• Langohr, M., Vogler, T., & Meyer-Wegener, K. (2023). SKYSHARK: A Benchmark with Real-world Data for Line-rate Stream Processing with FPGAs. In Leyer M, Wichmann J (Eds.), Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings, Marburg, Germany, October 9-11, 2023 (pp. 98--109). Marburg, DE: CEUR-WS.org.
• Rückert, C., Meyer-Wegener, K., Safferling, C., & Freiling, F. (2023). Messengerdienst-Nachrichten als Beweismittel im Strafverfahren – am Beispiel der Auswertung von WhatsApp-Chats. Juristische Rundschau, 2023, 366-378. https://doi.org/10.1515/juru-2023-2051

2022

• Benenson, Z., Freiling, F., & Meyer-Wegener, K. (2022). Soziotechnische Einflussfaktoren auf die "digitale Souveränität" des Individuums. In Glasze, Georg; Odzuck; Eva; Staples, Ronald (Hrg.), Was heißt digitale Souveränität? Diskurse, Praktiken und Voraussetzungen "individueller" und "staatlicher Souveränität" im digitalen Zeitalter. (S. 61 - 87). Bielefeld: transcript Verlag.

2021

• Beena Gopalakrishnan Nair, L., Becher, A., Wildermann, S., Meyer-Wegener, K., & Teich, J. (2021). Speculative Dynamic Reconfiguration and Table Prefetching Using Query Look-Ahead in the ReProVide Near-Data-Processing System. Datenbank-Spektrum. https://doi.org/10.1007/s13222-020-00363-7
• Beena Gopalakrishnan Nair, L., & Meyer-Wegener, K. (2021). COPRAO: A Capability Aware Query Optimizer for reconfigurable Near Data Processors. In Proc. 37th IEEE International Conference on Data Engineering Workshops, ICDE Workshops 2021, Chania, Greece, April 19-22, 2021 (pp. 54-59). Chania, Crete, Greece, GR: IEEE.
• Schwab, P., Röckl, J., Langohr, M., & Meyer-Wegener, K. (2021). Performance Evaluation of Policy-Based SQL Query Classification for Data-Privacy Compliance. Datenbank-Spektrum. https://doi.org/10.1007/s13222-021-00385-9

2020

• Beena Gopalakrishnan Nair, L., Becher, A., & Meyer-Wegener, K. (2020). The ReProVide Query-Sequence Optimization in a Hardware-Accelerated DBMS. In DaMoN '20: Proceedings of the 16th International Workshop on Data Management on New Hardware (pp. 1-3). Portland, Oregon USA: ACM Digital Library.
• Beena Gopalakrishnan Nair, L., Becher, A., Meyer-Wegener, K., Wildermann, S., & Teich, J. (2020). SQL Query Processing Using an Integrated FPGA-based Near-Data Accelerator in ReProVide. In Proceedings of EDBT (pp. 4). Copenhagen, DK.
• Ripperger, S., Carter, G., Page, R., Duda, N., Kölpin, A., Weigel, R.,... Kapitza, R. (2020). Thinking small: next-generation sensor networks close the size gap in vertebrate biologging. Plos Biology. https://doi.org/10.1371/journal.pbio.3000655
• Schwab, P., Langohr, M., & Meyer-Wegener, K. (2020). A Framework for DSL-Based Query Classification Using Relational and Graph-Based Data Models. In ACM (Eds.), GRADES-NDA'20: Proceedings of the 3rd Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) (pp. 10:1-10:5). Portland, OR, US: ACM.
• Schwab, P., Langohr, M., & Meyer-Wegener, K. (2020). We Know What You Did Last Session: Policy-Based Query Classification for Data-Privacy Compliance With the DataEconomist. In Association for Computing Machinery (Eds.), Proceedings of the SSDBM 2020: 32nd International Conference on Scientific and Statistical Database Management (pp. 30:1 - 30:4). Vienna, Virtual Conference, AT: New York, NY, United States: International Conference Proceeding Series (ICPS).
• Schwab, P., & Meyer-Wegener, K. (2020). Towards Evolutionary, Domain-Specific Query Classification Based on Policy Rules. In Daniel Trabold, Pascal Welke, Nico Piatkowski (Eds.), Proceedings of the Conference "Lernen, Wissen, Daten, Analysen" (pp. 291-295). Online, DE: CEUR-WS.
• Vöhringer, D., & Meyer-Wegener, K. (2020). Future Fetch: Towards a ticket-based data access for secondary storage in database systems. In Daniel Trabold, Pascal Welke, Nico Piatkowski (Eds.), Proceedings of the Conference "Lernen, Wissen, Daten, Analysen" (pp. 270-278). Virtual, Online, DE: CEUR-WS.