Business Process Management Foundations and Engineering
The Business Process Management: foundations and engineering (BPM) group is a group in the Informatik i9 chair of the RWTH Aachen University. The focus of the BPM group is on the combination of data-based process analysis and the optimisation of processes in organisations.

Job openings

None at the moment.


2023ws course: Business Process Modelling & Computation

In this Bachelor course, we will dive into the art of modelling business processes, and how to use computation to assess the performance and quality of business process models.

2023ws course: fundamentals of business process management

In this Master course, we will provide a broad introduction into business process management (BPM), and cover several areas of BPM in depth, such as process modelling, process analysis, process mining and process redesign. After this course, you’ll be able to apply business process management strategies to organisations, to communicate business processes in formal modelling notation, to analyse a process running in an actual organisation, propose improvements to the process, and use process data to substantiate your findings. Finally, you are able to communicate your findings in a corporate-appropriate style.

2023ws seminar: reliability in process mining

Process mining is a field of research that produces software and methodologies to optimise processes in organisations using recorded information. Analysts use process mining tools to analyse this information. For instance, bottlenecks, inefficiencies and optimisation opportunities may be identified. As large investment decisions may be based on these conclusions, it is of vital importance that the accuracy of process mining insights can be established, and that analysts can trust what the software indicates. This may have both technical and organisational aspects.

In this seminar, we are studying the accuracy and reliability of process mining techniques.

2023ws seminar: advanced topics in stochastic process mining

Stochastic process mining aims to provide insights into business processes. Compared to "regular" process mining, stochastic process mining considers how often behaviour was seen in event logs. After all, the relevance of behaviour depends on its likelihood. Recently, many stochastic conformance techniques have been proposed. In this seminar, each participant will dive into and discuss a topic in stochastic process mining.

The seminar involves choosing a topic, performing a literature search, presenting the findings in a presentation, and writing a short report. The presentations will take place in a weekly session from the second half of the semester.

Student project openings

About the group leader

Born in Boxtel, the Netherlands, Univ-Prof. Dr. Ir. Sander J.J. Leemans is a professor (W2) at the Rheinisch-Westfälische Technische Hochschule University (RWTH), Aachen, Germany.

His research interests include process mining, process discovery, conformance checking, stochastic process mining, and robotic process automation. In particular, he specialises in making solid academic techniques available to end-users, analysts and industry partners. He teaches business process management, business process modelling and business process improvement.

Office E2356-6011
Ahornstrasse 55
52074 Aachen, Germany
Consultation hour Every Tuesday 16:00-17:00
Zoom link on request