Academic Alliance

Celonis for Researchers

Celonis and academia are strong partners in research. Whether you want to use our technology to evaluate your data or you would like to be at the forefront of applied Process Mining research with us, we are happy to support and collaborate.

Celonis is involved in a wide range of research projects with its Academic Partners across multiple disciplines. Collaboration can range from knowledge exchange workshops over thesis projects with graduate students all the way to large multi-year projects.

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Execution Management System - Academic Edition

All-in-one Platform for Process Excellence

  1. Free: For students, teachers, and researchers
  2. All Celonis features: Event Collection, Process Analytics, ML Workbench, Action Engine
  3. Data: Preloaded demo data and flexible data uploads
  4. Campus feeling: Designed for use in classroom and self-learning

Why to Research with Celonis

Join our ecosystem

Become part of the Celonis ecosystem with 100,000+ active Process Miners from all types of organizations and industries.

Use leading technology

Run your applied research projects on the fastest cloud plattform for Process Mining and access Celonis development features.

Work with industry experts

Work side-by-side with industry experts and academia to expand your research.

Research Program

Research Projects with Academic Alliance Partners

Celonis works on joint research projects with academic partners, as well as in consortia with industry partners. Through these research projects we are laying a long-term foundation for our product development and at the same time opening up new fields of application for the process mining technology.

Would you also like to do research with us? Contact us with a pitch of your project idea and we will contact you. For smaller projects a direct cooperation within the scope of knowledge exchange workshops or student theses is conceivable. Celonis can also participate in projects on state level (Free State of Bavaria), federal level (e.g., BMBF, BMWi) or EU level. Furthermore, our subsidiaries around the world can act as local project partners.

For our research activities in the year 2020 we were awarded by the Stifterverband.


Publicly funded project consortium with support by the Bavarian Ministry of Economic Affairs, Regional Development and Energy

Period: Aug 2020 - Dec 2022
Partners: Technical University of Munich, iwb, Mechanical Engineering (Institute for Machine Tools and Industrial Management), HAWE Hydraulik SE

The aim of ProVSA is to develop a procedure that allows value streams in production to be digitally analyzed. Based on value stream analysis, predictive and prescriptive approaches are to be further developed, which support production planning.


Publicly funded project consortium with support by the Bavarian Ministry of Economic Affairs, Regional Development and Energy

Period: Sep 2020 - Aug 2023
Partners: Fraunhofer Institute for Integrated Circuits IIS, AST-X GmbH, Maxsyma GmbH & Co. KG, PASS Stanztechnik AG, Rauschert Heinersdorf-Pressig GmbH

AI4Pro aims at the optimization of spatially distributed processing steps with high variant diversity by developing AI- and CPS-based tools to monitor processes and derive forecasts and recommendations for action.

Indexing Techniques for Variant Clustering

Period: July - Dec 2020
Partner: Prof. Dr. Nikolaus Augsten, Paris Lodron University Salzburg, Austria

In a previous project between the partners, an algorithm for the clustering of process variants has been developed. Using indexing techniques, the performance of this algorithm will be improved.

Research Publications

We actively contribute to the Process Mining & Execution Management research field and work together with our Academic Alliance Partners in various research projects. Here you can find a selection of our joint publications with academic partners.

The Potential of Technology-Mediated Learning Processes: A Taxonomy and Research Agenda for Educational Process Mining

Proceedings of the International Conference on Information Systems (ICIS 2021). Thiemo Wambsganss, Anuschka Schmitt, Thomas Mahnig, Anja Ott, Sigita Soellner, Ngoc Anh Ngo, Jerome Geyer-Klingeberg, Janina Nakladal.

Celonis Studio โ€“ A Low-Code Development Platform for Citizen Developers

Proceedings of the Business Process Management Conference (BPM 2021). Carolin Ullrich, Teodora Lata, Jerome Geyer-Klingeberg

Scaling Density-Based Clustering to Large Collections of Sets

Proceedings of the 24th International Conference on Extending Database Technology (EDBT 2021). Daniel Kocher, Nikolaus Augsten, Willi Mann.

Celonis PQL: A Query Language for Process Mining

Process Querying Methods, Artem Polyvyanyy (Ed.). Thomas Vogelgesang, Jessica Kaufmann, David Becher, Robert Seilbeck, Jerome Geyer-Klingeberg, Martin Klenk.