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Business Process Technology

◀ People

Tom Lichtenstein, M.Sc.

Tom Lichtenstein

Phone: +49(0)331-5509-3426

Room: C-2.12

Email: tom.lichtenstein@hpi.de

About

Tom is a PhD student at the Business Process Technology research group at Hasso Plattner Institute, University of Potsdam. He joined the group in October 2021.

Research Interests

  • Flexibility in collaborative business processes
  • Choreography modeling
  • Blockchain-supported choreography execution
  • Multi-chain execution environments
  • Process mining

Publications

Profiles

DBLP | ResearchGate | Google Scholar

List of Publications

  • König M., Lichtenstein T., Seidel A., Weske M.: Introducing Variables to Data Objects in BPMN. EDOC Forum 2024, Vienna, Austria. September 2024. [URL]

  • Atwi H., Lichtenstein T., Pautasso C., Weske M.: Transparent Transaction Ordering in Blockchain-Based Collaborative Processes. BPM Blockchain Forum 2024, Krakow, Poland. September 2024. [DOI] [ResearchGate]

  • König M., Lichtenstein T., Seidel A., Weske M.: Data Objects with Variables in BPMN. 2nd International Workshop on Object-centric Processes, Krakow, Poland. September 2024. [URL]

  • Lichtenstein T., Weske M.: Execution Semantics for Process Choreographies with Data. BPM Forum 2023, Utrecht, Netherlands. September 2023. [DOI] [ResearchGate]

  • Lichtenstein T., Atwi H., Weske M., Pautasso C.: Loose Collaborations on the Blockchain: Survey and Challenges. BPM Blockchain Forum 2023, Utrecht, Netherlands. September 2023. [DOI] [ResearchGate]

  • Lichtenstein T., Weske M.: Data Consistency as a Criterion for Process Choreography Design. ER Forum and PhD Symposium 2022, Hyderabad, India. October 2022. [URL] [ResearchGate]

  • Haarmann S., Lichtenstein T., Weske M.: Fragment-Based Service Choreographies. IEEE International Conference on Services Computing (SCC), Barcelona, Spain. July 2022. [DOI] [ResearchGate]

  • Lichtenstein T.: Preserving Data Consistency in Process Choreographies by Design (short paper). 14th Central European Workshop on Services and their Composition (ZEUS), Bamberg, Germany. February 2022. [URL]

  • Lichtenstein T., Bano D., Weske M.: Attribute-driven Case Notion Discovery for Unlabeled Event Logs. 17th International Workshop on Business Process Intelligence, Rome, Italy. September 2021. [DOI] [ResearchGate]

  • Bano D., Lichtenstein T., Klessascheck F., Weske M.: Database-Less Extraction of Event Logs from Redo Logs. International Conference on Business Information Systems pp 73-82, Hannover, Germany. June 2021. [DOI] [ResearchGate]

  • Klessascheck F., Lichtenstein T., Meier M., Remy S., Sachs J. P., Pufahl L., Miotto R., Böttinger E. P., Weske M.: Domain-Specific Event Abstraction. International Conference on Business Information Systems pp 117-126, Hannover, Germany. June 2021. [DOI] [ResearchGate]

  • Lichtenstein T., Siegert S., Nikaj A., Weske M.: Data-Driven Process Choreography Execution on the Blockchain: A Focus on Blockchain Data Reusability. International Conference on Business Information Systems pp 224-235, Colorado Springs, USA. June 2020. [DOI] [ResearchGate]

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Teaching

Winter Term 2024/25

  • Supervisor of the master project Business Process Simulation and Analysis

Summer Term 2024

  • Supervisor of the master project OpenBPT - A Research Platform for the BPM Community
  • Supervisor in the master’s seminar Object-centric Business Processes

Winter Term 2023/24

  • Organizer and lecturer of the master’s seminar Trends in BPM Research

Summer Term 2023

  • Supervisor in the master’s seminar Pearls in BPM

Winter Term 2022/23

  • Organizer and lecturer of the master’s seminar Trends in BPM Research

Summer Term 2022

  • Organizer of the master’s seminar Modeling in Process Mining
  • Co-Teaching assistant for the master’s lecture Business Process Intelligence

Winter Term 2021/22

  • Supervisor in the master’s seminar Process Analytics in Healthcare