We are particularly interested in issues that prevent process management systems from being enacted broadly. Therefore, we concentrate our research on agile process management what deals with processes that show a high amount of variability. On the following web pages we show how we approach the issue of agile process management with declarative process management technology.
This research domain explore the powerful capabilities of modelling. Especially, we are interested in the research domains of meta modelling and domain specific modelling since we need results from these areas to enact our ideas for process management.
Data Science as the field that “makes the most out of Big Data” is one of the fastest growing fields in computer science. We focus on two major aspects of Data Science: the conceptual design of large data sets and business intelligence as technique for transforming raw data into meaningful information. We explore these techniques specifically from the perspective of process mining and process analysis. Most of our laboratories and student projects address these research areas.
We consider process management technology as enabling technology for many infrastructure projects. This research domain is experimentally exploring the potential of process management technology in this application domain.
The chair's research interests are depicted by the figure below. The projects in which the respective results are applied and implemented in form of a system or framework are enlisted on the right.
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