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Leo Poss studied Business Information Systems (Wirtschaftsinformatik) at the University of Regensburg, the Otto-Friedrich-Universität Bamberg, and the Universidad de Huelva in Spain. His major fields of study were Internet Business and IT Security, as well as Big Data approaches, especially Text Mining. During his studies, he gained academic experiences at the Chair of Statistics and Risk Management of the University of Regensburg and professional experiences as a full-stack developer during his time as a working student.

Since June of 2022, Leo Poss has been a research assistant in the TRADEmark (IoT-basiertes Daten- und Prozessmanagement im Handwerk) research project.

Research topics

  • Business Process Management (BPM)
  • Location-based BPMN
  • Declarative Processes
  • Complex Event Processing
  • Responsible BPM (Ethics-aware BPM)

Funded Projects

Awards

  • Best Paper Runner-Up at the International Conference on Cooperative Information Systems (CoopIS 2023)
  • Best Demo Paper at the International Conference on Cooperative Information Systems (CoopIS 2025)

Publications

  • Poss, Leo, Jasinski, Richard, Market, Michael und Schönig, Stefan (2023) TRADEmark - Using Location Data for Mobile Distributed Processes in BPM.
    , 3552 in: Felix Mannhardt and Nour Assy (eds.) Proceedings of the Demonstration Track co-located with the International Conference on Cooperative Information Systems 2023, CoopIS 2023, Groningen, The Netherlands, October 30 - November 3, 2023. CEUR-WS.org, 1—5.
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