Information Systems IE&IS
The Information Systems (IS) group studies novel tools and techniques that help organizations use their information systems to support better operational decision making.
In today’s digital age, organizations are rapidly transforming how they operate and create value. We facilitate this transformation by developing and teaching methods, tools, and techniques that enhance operational processes through Information Systems and Artificial Intelligence.
To achieve this, the Information Systems group develops methods, tools, and techniques that support the entire lifecycle of Information Systems development:
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Understanding Business Needs: Designing the business and information system architecture to meet these needs.
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Process and System Design: Implementing and refining operational processes and supporting information systems to address business requirements.
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Advanced Analytics and AI: Leveraging data analytics and AI to enhance organizational decision-making.
The Information Systems group is dedicated to application-driven research that leads to fundamental scientific contributions. Application across various sectors are studied, with a focus on healthcare, transportation and logistics, services, smart industry, mobility, and energy.
Create value through intelligent processing of business information
Information Systems are at the core of modern-day organizations. Both within and between organizations. The Information Systems group studies tools and techniques that help to use them in the best possible way, to get the most value out of them.
Read moreIS NEWS
Research Areas
We create and teach methods, tools and techniques in three interconnected research areas.
Application domains
We focus on the application of Information Systems in the following domains.
Meet some of our researchers
Open source
We encourage innovation from our research.
This is why we share the open-source codes from our research projects.
Recent Publications
Our most recent peer reviewed publications
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Anjo Seidel,Mathias Weske,Marco Montali,Andrey Rivkin,Manfred Reichert,Jan Martijn E.M. van der Werf,Wil M.P. van der Aalst,Marius Breitmayer,Lukas Liss,Jan Niklas van Detten
Object-centric process management
Information Systems (2026) -
Jonathan Silva Mercado,Qin Ma,Sybren de Kinderen,Karolin Winter,Jordi Cabot
CLERK
Data and Knowledge Engineering (2026) -
Claudia Diamantini,Laura Genga,Alex Mircoli,Domenico Potena
Evidence-driven appraisal of students’ careers using process mining
Journal of Intelligent Information Systems (2026) -
Mahmoud Nabil,Isel Grau,Ricardo Grau-Crespo,Said Hamad,Juan A. Anta
Inversion of the Impedance Response Towards Physical Parameter Extraction Using Interpretable Machine Learning
Advanced Energy Materials (2026) -
Gijs J. van Steenbergen,Mileen R.D. van de Kar,Erwin S.H. Tan,Mohamed A. Soliman-Hamad Veghel,Rik Eshuis,Lukas R.C. Dekker
Using causal rule mining to identify opportunities for value improvement in regional CABG care
International Journal of Medical Informatics (2026)
Work with us!
Please check out the TU/e vacancy pages for opportunities within our group.
If you are a student, potential sponsor or industrial partner and want to work with us, please contact the IS secretariat
or the Information Systems group chair, dr.ir. Remco Dijkman
Contact
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Visiting address
Atlas 5.402De ZaaleEindhovenNetherlands -
Postal address
AtlasP.O. Box 5135600 MB EindhovenNetherlands -
Secretary