• De Zaale, Atlas 5.402



  • P.O. Box 513, Atlas

    5600 MB Eindhoven


Organization profile

Introduction / mission

The Information Systems (IS) group studies design, optimization and computer-aided decision support in operational processes within and between organizations.

Highlighted phrase

Create value through intelligent processing of business information

Organisational profile

The Information Systems (IS) Group at Eindhoven University of Technology (TU/e) operates within the general area of business information systems. Our research focuses on the design, optimization and computer-aided support of operational processes within and between organizations through business process engineering. We study implications for information systems, information system design, governance and decision support. The research focus includes design methods, analysis tools, information system architectures, data mining and intelligent systems development using advanced prototypes. Our approach is model-centric and engineering-oriented, integrating basic and applied research with contemporary real-world cases.

Business organizations increasingly depend on their information systems to align internalorganization structures and deal with the complexity and changeability of markets. Up-to-date, complete and accurate information from big data has become a necessity to survive in an increasingly competitive world. As overseeing operations becomes too complicated for humans, business requirements related to information systems are growing exponentially. Rapid developments in information technology enable application types unimaginable a few years ago. Information systems are vital for the design and control of successful operational processes. Increasing complexity and dependence on information systems are driving  significant changes across many sectors, from logistics, mobility services and hi-tech manufacturing to healthcare. 

IS research concentrates on the following: 

  • Process modeling, architecture design and software management
  • Optimal decision support and intelligent system design
  • Balancing theoretical foundation and practical application 
  • Harmonizing demand-pull and technology-push developments in the field  
  • Business Process Engineering for Smart Mobility and HealthCare

The IS group studies implications for information system architectures and design, business process modeling, governance and decision support and distinguishes two research lines, also referred to as solution or technology domains: 

  • Business Process Management is devoted to the investigation and development of new concepts, models, techniques and application scenarios for the management of and information exchange in  operational business processes. Developing theory-based connections between elements in this spectrum is a major focus, such as engineering business models into business processes, mapping business processes onto system architectures, designing information models into decision structures and providing integration with elements in the business process intelligence research line. 

  • Business Process Intelligence develops methods, techniques and tools for advanced analysis of business processes and optimal decision-making in their execution. Data mining, process mining, machine learning and computational intelligence methods are applied for building consistent models that make use of different modalities of data from multiple sources. These approaches can be used to design information system architecture for developing intelligent decision support with which organizations can fulfil their goals of operational excellence and improved decision making.

More information

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Industry Engineering & Materials Science
Petri nets Engineering & Materials Science
Information systems Engineering & Materials Science
Semantics Engineering & Materials Science
Specifications Engineering & Materials Science
Ontology Engineering & Materials Science
Flow control Engineering & Materials Science
Web services Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2015 2021

DMCoach: App suite for personalized coaching and lifestyle awareness increasing in T2DM prevention

IJsselsteijn, W., Van Gorp, P., Benckhuijsen - Mertens, P., Kaymak, U., Jansen, R., Jansen, R. & Van Gorp, P.


Project: Research direct

Improved Traceability of Parts and Products

Dijkman, R., Dijkman, R., Jansen, R., Jansen, R. & Benckhuijsen - Mertens, P.


Project: Research direct

Gamification for Overweight prevention and Active Lifestyle

Van Gorp, P., Van Gorp, P., Kaymak, U., Jansen, R., Jansen, R., Nuijten, R. & Gerrits, E.


Project: Research direct

Research Output 1973 2019

3D virtual world BPM training systems: process gateway experimental results

Leyer, M., Brown, R., Aysolmaz, B., Vanderfeesten, I. & Türetken, O., 2019, (Accepted/In press) Proceedings of the 31st International Conference on Advanced Information Systems Engineering (CAiSE 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access

A decision support method to increase the revenue of ad publishers in waterfall strategy

Refaei Afshar, R., Zhang, Y., Firat, M. & Kaymak, U., 4 May 2019, (Accepted/In press) IEEE CIFEr 2019: 2019 IEEE Conference on Computational Intelligence for Financial Engineering and Economics.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
Reinforcement learning

A PSO-based algorithm for reserve price optimization in online ad auctions

Rhuggenaath, J., Akcay, A., Zhang, Y. & Kaymak, U., 2019, (Accepted/In press) 2019 IEEE Congress on Evolutionary Computation. Institute of Electrical and Electronics Engineers (IEEE)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access



2nd prize in The Executable Paper Grand Challenge

Pieter Van Gorp (Recipient), 2011

Recognition: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

Best Paper Award

Pieter Van Gorp (Recipient), 2007

Recognition: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

Best Paper Award

Hans Schippers (Recipient), 2007

Recognition: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

Activities 1997 2019

Dealing with complex, real-time, cyber-physical business processes: Towards a trinity of IoT, DA and BPM technologies

Paul W.P.J. Grefen (Speaker)
20 Feb 2019

Activity: Talk or presentation typesInvited talkScientific


Maryam Razavian (Organiser)
Mar 2019

Activity: Participating in or organising an event typesConferenceScientific

18th (International Conference on Autonomous Agents and Multiagent Systems (Event)

Yingqian Zhang (Editorial board member)

Activity: Publication peer-review and editorial work typesPublication peer-reviewScientific

Student theses

Accurate response to fluctuating demand with regard to promotions in the online retailing industry

Author: Kiemeneij, N., 31 Jan 2018

Supervisor: Atan, Z. (Supervisor 1), Mutlu, N. (Supervisor 2) & Firat, M. (Supervisor 2)

Student thesis: Master


A clinical decision support system by using wrist-worn smartphone tremor measurements: at the Maastricht University Medical Center

Author: Zamora, G., 30 Jun 2017

Supervisor: Kaymak, U. (Supervisor 1), Wilbik, A. (Supervisor 2) & Van Gorp, P. (Supervisor 2)

Student thesis: Master


A comparative study for process mining approaches in a real-life environment

Author: Hoogendoorn, G., 20 Feb 2017

Supervisor: Reijers, H. (Supervisor 1), Eshuis, H. (Supervisor 2), Gonzalez Lopez de Murillas, E. (Supervisor 2) & Vos, P. (External person) (External coach)

Student thesis: Master