Business Process Technology
Dorina Bano, M.Sc.
About
Dorina Bano is a PhD student at the Business Process Technology research group at Hasso Plattner Institute. She joined the group in October 2019.
Bio
- 2019 - current - PhD student at Hasso Plattner Institute
- 2014 - 2019 - Software Engineer at Entimo AG, Berlin
- 2011 - 2014 - Master’s degree in Computer Science from University of Paderborn, Germany.
- 2008 - 2010 - Master’s degree in Computer Science from University of Tirana, Albania.
Research Interest
- Process Mining
- Digital Health
- Domain Models
Publications
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Bano, D., Zerbato, F., Weber, B., Weske, M.: Enhancing discovered process models with data object lifecycles. In: EDOC 2021: The Enterprise Computing Conference, Gold Coast, Australia.
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Lichtenstein, T., Bano, D., Weske, M.: Attribute-driven Case Notion Discovery for Unlabeled Event Logs. In: BPI Workshop 2021: Business Process Intelligence Workshop, 06-10 September 2021 Rome, Italy [PDF @ ResearchGate].
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Bano, D., Nikaj, A., Weske, M.: Discovering Business Process Architectures from Event Logs. In: BPM Forum 2021: Business Process Management Forum, 06-10 September 2021 Rome, Italy [PDF @ ResearchGate].
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Bano, D., Lichtenstein, T., Klessascheck, F., Weske, M.: Database-Less Extraction of Event Logs from Redo Logs. In: BIS 2021: 24th International Conference on Business Information Systems pp 73-82, 15-17 June 2021 Hannover, Germany [PDF @ ResearchGate].
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Bano, D., Weske, M.: Discovering Data Models from Event Logs. In: ER 2020: Conceptual Modeling pp 62-76, 39th International Conference on Conceptual Modeling, Cham: Springer International Publishing [PDF @ ResearchGate].
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BPI Challenge 2020: Multi-perspective Analysis of Approval Processes based on Multiple Event Logs. [PDF @ BPI20].
Teaching Activities
Winter Term 2021/2022
- Organizer and supervisor of the master seminar Process Analytics in Healthcare
- Supervisor together with Stephan Haarmann of the master project Design-Time Support for Fragment-Based Case Management
Summer Term 2021
- Supervisor of the master seminar Challenges in BPM Research
- Lecturer in the master’s lecture Trends in BPM
Winter Term 2020/2021
- Organizer of the master seminar Advanced Topics in BPM
Summer Term 2020
- Supervisor of the master seminar Data Extraction for Processing Mining
- Lecturer in the master’s lecture Trends in BPM
Winter Term 2019/2020
- Supervisor of the topic Root Cause Analysis (together with Simon Remy) in the context of the master seminar on Machine Learning in BPM
Supervision of Master Theses
- Lichtenstein, Tom: Attribute-driven Case Notion Discovery for Unlabeled Event Logs