Leo Poss studied Business Information Systems (Wirtschaftsinformatik) at the University of Regensburg, the Otto-Friedrich-Universität Bamberg, and the Universidad de Huelva in Spain, specializing in IT Security and IT Finance as well as Big Data methods, particularly text mining. Before his doctorate, he worked as a student assistant at the Chair of Statistics and Risk Management in Regensburg and as a full-stack developer during his time as a working student.
From June 2022 to July 2026, he was a doctoral researcher and work package leader on the TRADEmark project (IoT-basiertes Daten- und Prozessmanagement im Handwerk), funded by the Bayerische Forschungsstiftung. He completed his doctorate (Dr. rer. pol.) with a thesis on "Human-Centric Process Management – Orchestrating the Operational, Locational, and Ethical Dimensions of Manual Work."
Since July 2026, he has been a postdoctoral researcher at the Chair for Process-Based Information Systems.
Research topics
- Business Process Management (BPM)
- Location- and resource-aware process modeling (LABPMN, PRiME)
- Declarative process execution and Complex Event Processing (CEP)
- Responsible BPM (ethics-aware process governance)
- Process and OT/IT security
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 und Schönig, Stefan (2025) One Engine to Rule Them All: Executing Declarative Processes with CEP.
Proceedings of the Demonstration Track co-located with the International Conference on Cooperative Information Systems 2025. - Poss, Leo, Kern, Christopher Julian, Stoiber, Christoph, Kroenung, Julia und Schönig, Stefan (2025) Measuring Moral Performance: A Framework for Ethical Business Process Management.
Business Process Management: Responsible BPM Forum, Process Technology Forum, Educators Forum. Springer Nature Switzerland, 117—132. ISBN 9783032029362.
https://dx.doi.org/10.1007/978-3-032-02936-2_10 - Poss, Leo und Schönig, Stefan (2025) Formalizing the operational perspective in BPM: an ontology-based approach for tool integration.
Business Process Management Journal Emerald
https://dx.doi.org/10.1108/bpmj-10-2024-0930 - Poss, Leo und Schönig, Stefan (2025) Formalizing the Operational Perspective in BPM: An Ontology-Based Approach for Tool Integration.
Business Process Management Journal, 32 (2) Emerald, 679—709.
https://dx.doi.org/10.1108/bpmj-10-2024-0930 - Poss, Leo und Schönig, Stefan (2025) Location-aware business process modeling and execution.
Softw. Syst. Model., 24 (1), 37—67.
https://dx.doi.org/10.1007/S10270-024-01224-7 - Kern, Christopher Julian, Hübner, Karin, Poss, Leo, Schönig, Stefan und Kroenung, Julia (2025) The Role of Ethics in Requirements Engineering for Developing Information Systems.
, 547 in: Janis Grabis and Tanja E. J. Vos and Mar\'ıa José Escalona and Oscar Pastor (eds.) Research Challenges in Information Science - 19th International Conference, RCIS 2025, Seville, Spain, May 20-23, 2025, Proceedings, Part I. Springer, 226—242.
https://dx.doi.org/10.1007/978-3-031-92474-3_14 - Poss, Leo und Schönig, Stefan (2025) One Engine to Rule Them All: Executing Declarative Processes with CEP.
Proceedings of the Demonstration Track co-located with the International Conference on Cooperative Information Systems 2025. - Kern, Christopher Julian, Hübner, Karin, Poss, Leo, Schönig, Stefan und Kroenung, Julia (2025) The Role of Ethics in Requirements Engineering for Developing Information Systems.
Research Challenges in Information Science. Springer Nature Switzerland, 226—242. ISBN 9783031924743.
https://dx.doi.org/10.1007/978-3-031-92474-3_14 - Poss, Leo und Schönig, Stefan (2025) A Synergistic Engine Paradigm for Real-Time, Context-Aware Decision-Making: Integrating Declarative Processes and Event Streams.
Complex & Intelligent Systems Springer Science and Business Media LLC
https://dx.doi.org/10.1007/s40747-026-02253-z - Poss, Leo und Schönig, Stefan (2024) Location-aware business process modeling and execution.
Software and Systems Modeling, 24 (1) Springer Science and Business Media LLC, 37—67.
https://dx.doi.org/10.1007/s10270-024-01224-7
Dr. Leo Poss
Research Assistant
