Theses Supervision | Dr. Jens Brunk | Department of Information Systems

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Dr. Jens Brunk, M.Sc.
Former Research Assistant

Chair of Information Systems and Information Management

Leonardo Campus 3
48149 Münster

ShortURL:

ERC.IS ShortURL

erc.is/p/brunk

Supervised Theses
- Analysis and Optimization of Business Processes by Means of Robotic Process Automation (Bachelor's thesis IS, 2021)
- Evaluation and Extension of a Procedure Model for the Implementation of Business Process Monitoring and Prediction (Master's thesis IS, 2020)
- Predictive Business Process Monitoring for Personalized Print Products at Duni AB - Design and Evaluation of an Explainable AI-centric Approach (Master's thesis IS, 2020)
- Dominik Möllers: Application of Automated Machine Learning to Business Process Monitoring and Prediction (Master's thesis IS, 2020)
- Application of Automated Machine Learning on Business Process Monitoring and Prediction (Bachelor's thesis IS, 2020)
- Context-Aware Process Monitoring: Development of a Taxonomy for Context Information of Business Processes (Bachelor's thesis IS, 2020)
- Trace Clustering for an Online Freight Exchange – An Action Design Research Study to Inform Application Evolution (Master's thesis IS, 2019)
- Johannes Stottmeister: Development of a context-sensitive process prediction method based on existing deep learning approaches (Master's thesis IS, 2019)
- Wenying Ding: Development of a Procedure Model for Predictive Process Monitoring Method Implementation (Master's thesis IS, 2019)
- Leon Papke: Context-Sensitive Predictive Process Monitoring: Enhancement and Implementation of a Dynamic Bayesian Network Approach (Bachelor's thesis IS, 2019)