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.
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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