Leo Poss

Forschungsthemen

• Business Process Management (BPM)
• Context-awareness 
• Location-based BPMN

CV

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 field of study were Internet Business and IT-Security as well as Big Data approaches for Data and especially Text Mining. During his studies he gained academical experiences at the Chair of Statistics and Risk Management of the University Regensburg and professional experiences as fullstack developer during his time as a working student.

Since April 2022 Leo Poss is a research assistant in the TRADEmark (IoT-basiertes Daten- und Prozessmanagement im Handwerk) research project.

Publikationen

• Location-aware business process modeling and execution (Leo Poss, Stefan Schönig), Software and Systems Modeling, 2024.
• Navigating the moral maze: a literature review of ethical values in business process management (Christopher Kern, Leo Poss, Julia Kroenung, Stefan Schönig et al.), BPMJ, Vol. 30 No. 8, 2024.
• TRADEmark – Using Location Data for Mobile Distributed Processes in BPM (Leo Poss, Richard Jasinski, Michael Market, Stefan Schönig) , International Conference on Cooperative Information Systems (CoopIS 2023)
• LABPMN: Location-Aware Business Process Modeling and Notation (Leo Poss, Lukas Dietz, Stefan Schönig), International Conference on Cooperative Information Systems (CoopIS 2023)

• A Generic Approach Towards Location-Aware Business Process Execution (Leo Poss, Stefan Schönig), 24th International Conference on Enterprise, Business-Process and Information Systems Modeling (BPMDS 2023)

• TRADEmark

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