• 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 three research clusters: Business Engineering, Process Engineering and Business Intelligence. Application areas include hightech industry, logistics, mobility, healthcare, and services.

Business Engineering (BE) focuses on the investigation and development of new concepts, methods, and techniques for the development and implementation of innovative business solutions. This involves the support for the engineering of business models into business processes, organizational structures, architectures, and information systems, and connecting all aspects of digital transformation. It emphasizes on customer/user orientation and focuses not only on the technical design of new business solutions, but also on their strategic, governance, human and cultural dimensions.

Process Engineering (PE) is devoted to the investigation and development of new concepts, models, techniques, tools and application scenarios for the analysis and (re)design of operational business processes. Topic areas include data-driven engineering of business processes, human aspects of process engineering, decision support for business processes, process mining, mapping business models to business processes, mapping business processes onto system architectures.

Business Intelligence (BI) develops methods, techniques and tools for advanced analysis of business processes and optimal decision-making in their execution. Data mining, text 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 and improve information system for developing intelligent decision support with which organizations can fulfil their goals of operational excellence and improved decision making.

More information

Fingerprint Dive into the research topics where Information Systems IE&IS is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

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. & Eryilmaz, U.


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 2020

Scalable entity resolution for Web product descriptions

Vandic, D., Frasincar, F., Kaymak, U. & Riezebos, M., 1 Jan 2020, In : Information Fusion. 53, p. 103-111 9 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
Consumer electronics

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

Leyer, M., Brown, R., Aysolmaz, B., Vanderfeesten, I. & Turetken, O., 2019, Advanced Information Systems Engineering - 31st International Conference, CAiSE 2019, Proceedings. Giorgini, P. & Weber, B. (eds.). Cham: Springer, p. 415-429 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11483 LNCS)

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

Open Access
Virtual Worlds
Experimental Results
3 Citations (Scopus)

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

Refaei Afshar, R., Zhang, Y., Firat, M. & Kaymak, U., 1 May 2019, CIFEr 2019 - IEEE Conference on Computational Intelligence for Financial Engineering and Economics. Piscataway: Institute of Electrical and Electronics Engineers, 8 p. 8759106

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

Open Access
Reinforcement learning



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

Hans Schippers (Recipient), 2007

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

Activities 1997 2019

ECML PKDD 2019 The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases

Yingqian Zhang (Member of programme committee)
16 Sep 201920 Sep 2019

Activity: Participating in or organising an event typesConferenceScientific

Data Science Meets Optimisation

Yingqian Zhang (Organiser)
11 Aug 2019

Activity: Participating in or organising an event typesWorkshop, seminar, course or exhibitionScientific

The 28th International Joint Conference on Artificial Intelligence 2019

Yingqian Zhang (Member of programme committee)
10 Aug 201915 Aug 2019

Activity: Participating in or organising an event typesConferenceScientific

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


Achieving more accurate truck warning lights by descriptive and predictive analytics

Author: van de Donk, W., 31 May 2019

Supervisor: Zhang, Y. (Supervisor 1), Kaymak, U. (Supervisor 2) & Zervanou, K. (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