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Universität Regensburg
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Prof. Dr. rer. nat. Stefan Schönig

Research topics

  • Business Process Management (Modeling, Execution, Mining)
  • IoT-aware Business Processes Management (e.g. Industrial IoT Processes, Location-aware Processes)
  • Process-oriented Cyber Security Management
  • Cyber Security Compliance in Industrial IoT

Awards

  • Best Paper Runner-Up at the International Conference on Cooperative Information Systems (CoopIS 2023)
  • Business Process Innovation Award (BPM 2019)
  • Best Paper Award, Int. Workshop on Emerging Computing Paradigms and Context in Business Process Management (CCBPM 2018)
  • Best Paper Award, Int. Conference on Enterprise Information Systems (ICEIS 2018)
  • Best Paper Award, 11th Int. Workshop on Enterprise & Organizational Modeling and Simulation (EOMAS 2015)
  • T-Systems Innovation Award (2012)

CV

Stefan Schönig received both the Master degree (with honors) in Applied Computer Science (Engineering/Computer Science) and the doctoral degree from University of Bayreuth. He was post doctoral researcher with the Institute for Information Business at Vienna University of Economics and Business (Prof. Dr. Jan Mendling) and held a position as a tenured assistant professor at University of Bayreuth (Prof. Dr.-Ing. Stefan Jablonski). Currently, he is Full Professor and Head of the Chair for Process-based Information Systems with the Department of Information Systems at University of Regensburg in Germany. He has an established background in Business Process Management, Process Mining and Process-based Cyber Security Management and has been working in this field for over 14 years. He has participated in several industry projects that addressed digital process management and IT/IoT security. He published extensively in the research area of Business Process Management and Information Systems, both in international conferences and journals. He serves in several international conference program committees.

Publications

  • Käppel, Martin, Ackermann, Lars, Schönig, Stefan und Jablonski, Stefan. "Language-independent look-ahead for checking multi-perspective declarative process models".
    Softw. Syst. Model., vol. 20, no. 5,  (2021) pp. 1379—1401. https://dx.doi.org/10.1007/S10270-020-00857-8
  • Käppel, Martin, Jablonski, Stefan und Schönig, Stefan. "Cost-Sensitive Predictive Business Process Monitoring".
    vol. 1450, Springer,  (2021) pp. 14—26. https://dx.doi.org/10.1007/978-3-030-85082-1_2
  • Ruhkamp, Niklas und Schönig, Stefan. "Execution of Multi-Perspective Declarative Process Models Using Complex Event Processing".
      (2021) pp. 95—104. https://dx.doi.org/10.52825/BIS.V1I.51
  • Stoiber, Christoph und Schönig, Stefan. "Process-aware Decision Support Model for Integrating Internet of Things Applications using AHP".
    SCITEPRESS,  (2021) pp. 869—876. https://dx.doi.org/10.5220/0010400208690876
  • Käppel, Martin, Jablonski, Stefan und Schönig, Stefan. "Evaluating Predictive Business Process Monitoring Approaches on Small Event Logs".
    vol. 1439, Springer,  (2021) pp. 167—182. https://dx.doi.org/10.1007/978-3-030-85347-1_13
  • Schützenmeier, Nicolai, Jablonski, Stefan und Schönig, Stefan. "Towards a Hybrid Process Modeling Language".
    vol. 415, Springer,  (2021) pp. 630—636. https://dx.doi.org/10.1007/978-3-030-75018-3_46
  • Stoiber, Christoph und Schönig, Stefan. "Event-Driven Business Process Management enhancing IoT - a Systematic Literature Review and Development of Research Agendas".
    AISeL,  (2021)
  • Schönig, Stefan "Entscheidungsintensive und flexible Geschäftsprozesse".
    De Gruyter,  (2021) pp. 269—280.
  • Schönig, Stefan, Ermer, Andreas und Jablonski, Stefan. "Sensor-Enabled Wearable Process Support in the Production Industry".
    Springer,  (2021) pp. 29—40. https://dx.doi.org/10.1007/978-3-662-63047-1_3
  • Käppel, Martin, Jablonski, Stefan und Schönig, Stefan. "Evaluating Predictive Business Process Monitoring Approaches on Small Event Logs".
    CoRR, vol. abs/2104.00362,  (2021)
  • Cabanillas, Cristina, Ackermann, Lars, Schönig, Stefan, Sturm, Christian und Mendling, Jan. "The RALph miner for automated discovery and verification of resource-aware process models".
    Softw. Syst. Model., vol. 19, no. 6,  (2020) pp. 1415—1441. https://dx.doi.org/10.1007/S10270-020-00820-7
  • Schönig, Stefan, Ackermann, Lars, Jablonski, Stefan und Ermer, Andreas. "IoT meets BPM: a bidirectional communication architecture for IoT-aware process execution".
    Softw. Syst. Model., vol. 19, no. 6,  (2020) pp. 1443—1459. https://dx.doi.org/10.1007/S10270-020-00785-7
  • Fichtner, Myriel, Schönig, Stefan und Jablonski, Stefan. "Using Image Mining Techniques from a Business Process Perspective".
    vol. 417, Springer,  (2020) pp. 62—83. https://dx.doi.org/10.1007/978-3-030-75418-1_4
  • Fichtner, Myriel, Schönig, Stefan und Jablonski, Stefan. "Process Management Enhancement by using Image Mining Techniques: A Position Paper".
    SCITEPRESS,  (2020) pp. 249—255. https://dx.doi.org/10.5220/0009573502490255
  • Schönig, Stefan, Jasinski, Richard und Ermer, Andreas. "Data Interaction for IoT-Aware Wearable Process Management".
    vol. 12632, Springer,  (2020) pp. 67—71. https://dx.doi.org/10.1007/978-3-030-76352-7_10
  • Sturm, Christian, Szalanczi, Jonas, Jablonski, Stefan und Schönig, Stefan. "Decentralized Control: A Novel Form of Interorganizational Workflow Interoperability".
    vol. 400, Springer,  (2020) pp. 261—276. https://dx.doi.org/10.1007/978-3-030-63479-7_18
  • Englbrecht, Ludwig, Schönig, Stefan und Pernul, Günther. "Supporting Process Mining with Recovered Residual Data".
    vol. 400, Springer,  (2020) pp. 389—404. https://dx.doi.org/10.1007/978-3-030-63479-7_27
  • Jablonski, Stefan, Röglinger, Maximilian, Schönig, Stefan und Wyrtki, Katrin Maria. "Multi-Perspective Clustering of Process Execution Traces".
    Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model., vol. 14,  (2019) pp. 2:1—2:22. https://dx.doi.org/10.18417/EMISA.14.2
  • Sturm, Christian, Scalanczi, Jonas, Schönig, Stefan und Jablonski, Stefan. "A Blockchain-based and resource-aware process execution engine".
    Future Gener. Comput. Syst., vol. 100,  (2019) pp. 19—34. https://dx.doi.org/10.1016/J.FUTURE.2019.05.006
  • Sturm, Christian, Fichtner, Myriel und Schönig, Stefan. "Full Support for Efficiently Mining Multi-Perspective Declarative Constraints from Process Logs".
    Inf., vol. 10, no. 1,  (2019) pp. 29. https://dx.doi.org/10.3390/INFO10010029
  • Schönig, Stefan, Jablonski, Stefan und Ermer, Andreas. "IoT-basiertes Prozessmanagement - Mobile Benutzerführung in der digitalen Fabrik".
    Inform. Spektrum, vol. 42, no. 2,  (2019) pp. 130—137. https://dx.doi.org/10.1007/S00287-019-01140-X
  • Schönig, Stefan, Ermer, Andreas, Market, Michael und Jablonski, Stefan. "Sensor-enabled wearable process support in corrugation industry".
    vol. 2428, CEUR-WS.org,  (2019) pp. 118—129.
  • Käppel, Martin, Schützenmeier, Nicolai, Schönig, Stefan, Ackermann, Lars und Jablonski, Stefan. "Logic Based Look-Ahead for the Execution of Multi-perspective Declarative Processes".
    vol. 352, Springer,  (2019) pp. 53—68. https://dx.doi.org/10.1007/978-3-030-20618-5_4
  • Schützenmeier, Nicolai, Käppel, Martin, Petter, Sebastian, Schönig, Stefan und Jablonski, Stefan. "Detection of Declarative Process Constraints in LTL Formulas".
    vol. 366, Springer,  (2019) pp. 131—145. https://dx.doi.org/10.1007/978-3-030-35646-0_10
  • Schönig, Stefan, Ciccio, Claudio Di und Mendling, Jan. "Configuring SQL-based process mining for performance and storage optimisation".
    ACM,  (2019) pp. 94—97. https://dx.doi.org/10.1145/3297280.3297532

Prof. Dr. Stefan Schönig

Lehrstuhlinhaber

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