Liam Tirpitz

Liam Tirpitz

Researcher / PhD Candidate

RWTH Aachen University

Biography

I am a researcher in the Data Stream Management and Analysis Group (DSMA) at the Chair of Databases and Information Systems (DBIS) at RWTH Aachen University.

Interests
  • Data Stream Processing on the Edge
  • FAIR Data
  • Cross-Organizational Data Exchange
  • Data Provenance
  • Data Interoperability
Education

  • M.Sc. in Computer Science, 2021

    RWTH Aachen University

  • B.Sc. in Computer Science, 2020

    RWTH Aachen University

Recent Publications

Pennekamp, Jan, Kunze, Ike, Liam Tirpitz, Bode, Benedikt, Sander, Constantin, Geisler, Sandra, Wehrle, Klaus (2026). Shaping the Digital Transformation in Production: An Information and Network-Centric Perspective. In Mining a Scientist’s Process.

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Liam Tirpitz, Geisler, Sandra (2025). Cross-Organizational Data Stream Management using Solid Data Spaces. In IEEE BigData ‘25.

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Kim, Soo-Yon, Liam Tirpitz, Wagels, Max, Rennert, Christian, Koren, István, Rapp, Janik, Moser, Mario, Rumpe, Bernhard, Pennekamp, Jan, Geisler, Sandra (2025). Dataspaces for Collaborative Research. In IEEE BigData ‘25.

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Liam Tirpitz, Kunze, Ike, Niemietz, Philipp, Gerhardus, Anna Kathrin, Bergs, Thomas, Wehrle, Klaus, Geisler, Sandra (2025). Reducio: Data Aggregation and Stability Detection for Industrial Processes Using In-Network Computing. In DEBS ‘25.

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Liam Tirpitz, Gentges, Leon (2024). Process Model-based Access Control Policies for Cross-Organizational Data Sharing. In QDB@VLDB ‘24.

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Wöhner, Felix, Liam Tirpitz, May, Friedrich, Geisler, Sandra (2024). GALOISim - Simulating On-The-Edge Processing of Distributed Stream Queries. In DEBS ‘24.

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Liam Tirpitz (2024). Towards FAIR Data Stream Processing Ecosystems. In DEBS ‘24.

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Kunze, Ike, Scheurenberg, Dominik, Liam Tirpitz, Geisler, Sandra, Wehrle, Klaus (2024). In-Situ Model Validation for Continuous Processes Using In-Network Computing. In IEEE ICPS ‘24.

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Tarek Stolz, István Koren, Liam Tirpitz, Sandra Geisler (2023). GALOIS: A Hybrid and Platform-Agnostic Stream Processing Architecture. In BiDEDE ‘23.

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Mohamed Behery, Philipp Brauner, Hans Aoyang Zhou, Merih Seran Uysal, Vladimir Samsonov, Martin Bellgardt, Florian Brillowski, Tobias Brockhoff, Anahita Farhang Ghahfarokhi, Lars Gleim, Leon Michel Gorissen, Marco Grochowski, Thomas Henn, Elisa Iacomini, Thomas Kaster, István Koren, Martin Liebenberg, Leon Reinsch, Liam Tirpitz, Minh Trinh, Andres Felipe Posada-Moreno, Luca Liehner, Thomas Schemmer, Luisa Vervier, Marcus Völker, Philipp Walderich, Song Zhang, Christian Brecher, Robert H. Schmitt, Stefan Decker, Thomas Gries, Constantin Leon Häfner, Michael Herty, Matthias Jarke, Stefan Kowalewski, Torsten W. Kuhlen, Johannes Henrich Schleifenbaum, Sebastian Trimpe, Wil M. P. van der Aalst, Martina Ziefle, Gerhard Lakemeyer (2023). Actionable Artificial Intelligence for the Future of Production. Internet of Production: Fundamentals, Applications and Proceedings.

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Florian Brillowski, Lars Gleim, Martin Liebenberg, Thomas Schemmer, Liam Tirpitz, Stefan Decker, Gerhard Lakemeyer, Martina Ziefle, Christoph Greb, Thomas Gries (2021). Towards a Continuously Improving Composite Manufacturing by Employing the Internet of Production. In CAMX'21.

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Ike Kunze, Philipp Niemietz, Liam Tirpitz, Rene Glebke, Daniel Trauth, Thomas Bergs, Klaus Wehrle (2021). Detecting Out-Of-Control Sensor Signals in Sheet Metal Forming using In-Network Computing. In ISIE'21.

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Lars Gleim, Liam Tirpitz, Stefan Decker (2021). HTTP Extensions for the Management of Highly Dynamic Data Resources. In ESWC'21.

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Lars Gleim, Jan Pennekamp, Liam Tirpitz, Sascha Welten, Florian Brillowski, Stefan Decker (2021). FactStack: Interoperable Data Management and Preservation for the Web and Industry 4.0. In BTW'21.

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Welten, Sascha Martin, de Arruda Botelho Herr, Marius, Hempel, Lars, Hieber, David, Placzek, Peter, Graf, Michael, Weber, Sven, Neumann, Laurenz, Jugl, Maximilian, Liam Tirpitz, Kindermann, Karl, Geisler, Sandra, Bonino da Silva Santos, Luiz Olavo, Decker, Stefan Josef, Pfeifer, Nico, Kohlbacher, Oliver, Kirsten, Toralf (2020). A study on interoperability between two Personal Health Train infrastructures in leukodystrophy data analysis. Scientific data.

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Lars Gleim, Liam Tirpitz, Jan Pennekamp, Stefan Decker (2020). Expressing FactDAG Provenance with PROV-O. In MEPDaW'20.

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