RISE BPM

“Propelling Business Process Management by Research and Innovation Staff Exchange”

Description

RISE_BPM is the first favourably evaluated project proposal submitted by the University of Münster in cooperation with ERCIS partners within the Horizon 2020 EU funding programme. The RISE_BPM project is aimed at networking world-leading research institutions and corporate innovators to develop new horizons for Business Process Management (BPM). The project consortium, besides the University of Münster as the coordinator, includes partners from Australia, South Korea, Brazil, Austria, Spain, the Netherlands, and Liechtenstein.

RISE_BPM was set up to ensure the sustainability and further extension of the collaboration ties established during the Networked Service Society (NSS) project. NSS (Project number: APR 10/805) is a multi-national project funded by the International Bureau of the German Federal Ministry of Education and Research (BMBF). The project was conducted from July 2010 until the end of 2014 and was aimed at establishing and strengthening long-term collaboration structures with institutions in the Asian-Pacific region in the areas of Joint Research, Joint Education and Joint Industry Projects.

RISE_BPM will last for four years and started May 1st 2015.

Links

Staff

  • Bart Hompes - Bart is an enthusiastic, fast-learning team-player eager to learn and develop new technologies. Bart’s broad interests lie in the fields where business meets technology, such as BPM, BI and BIS. Bart likes to work in international, research-oriented environments with relations to practical applications and implementation. In his spare time Bart likes to ride my motorcycle Read More ...
  • Maikel van Eck - Maikel is a PhD student within the PA group where his main research is in the area of process mining. More concretely, his research focuses on the use of process mining techniques to investigate the relations between the behavior of people and their health. Applications of this are found in the area of work-related stress Read More ...

Former staff

  • Maikel Leemans - Maikel is a PhD student within the PA group where his main research is in the area of process mining. More concretely, his research interests focus on the analysis of software, where he looks at finding common usage patterns, possible deviations and options how to improve the usage process by changing the software. Position: PhD Read More ...
  • Niek Tax - Niek is a PhD student within the PA group where his main research is in the area of process mining. More concretely, his research interests include seasonality detection, deviation detection, predictions and recommendations based on process mining techniques. Position: PhD Student Room: MF 7.108 Tel (internal): 8965 Links: Personal home page Google scholar page Scopus Read More ...
  • Wil van der Aalst - Prof.dr.ir. Wil van der Aalst is a full professor of the Process and Data Science (PADS) group at the RWTH in Aachen (Germany) and a part-time professor in the PA group. His personal research interests include process mining, business process management, workflow management, Petri nets, process modeling, and process analysis. Position: HGL Room: MF 7.064 Read More ...
  • Joos Buijs - Joos Buijs’ current research interests include Process mining in healthcare and Learning analytics. Next to these research topics Joos is also involved in MOOC creation. Related to the learning analytics of course, we also create MOOCs on the topic of process mining. There is the Coursera MOOC “Process Mining: Data Science in Action”. And on Read More ...
  • Sebastiaan (Bas) van Zelst - Bas is a PhD student within the PA group where his main research is in the area of process mining. More concretely, his research interests focus on analysing event streams without storing (too much) data. Position: PhD Student Room: MF 7.108 Tel (internal): 8687 Links: Personal home page Google scholar page Scopus page ORCID page Read More ...
  • Xixi Lu - Xixi is a PhD student within the PA group where her main research is in the area of process mining. More concretely, her research interests include conformance checking, partial orders and trace clustering. Position: PhD Student Room: MF 7.060 Tel (internal): 8468 Links: Personal home page Google scholar page Scopus page ORCID page TU/e employee Read More ...

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