• Telefoon+31 (0)40 247 2290
  • E-mailadresis@tue.nl
  • De Zaale, Atlas 5.402



  • P.O. Box 513, Atlas

    5600 MB Eindhoven



Introductie / missie

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

Over de organisatie

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

Vingerafdruk Duik in de onderzoeksthema's waar Information Systems IE&IS actief is. Deze onderwerplabels komen voort uit het werk van deze leden van de organisatie. Samen vormen ze een unieke vingerafdruk.

Industry Engineering en materiaalwetenschappen
Semantics Engineering en materiaalwetenschappen
Information systems Engineering en materiaalwetenschappen
Petri nets Engineering en materiaalwetenschappen
Ontology Engineering en materiaalwetenschappen
Decision making Engineering en materiaalwetenschappen
Markup languages Engineering en materiaalwetenschappen
Fuzzy systems Engineering en materiaalwetenschappen

Netwerk Recente externe samenwerking op landenniveau. Duik in de details door op de stippen te klikken.

Projecten 2015 2021

Onderzoeksoutput 1973 2020

A framework for modelling and analysing coordination challenges in hinterland transport systems

Gumuskaya, V., van Jaarsveld, W. L., Dijkman, R. M., Grefen, P. W. P. J. & Veenstra, A. W., 2020, (Geaccepteerd/In druk) In : Maritime Economics and Logistics. 2002.02247 Search... Help | Advanced Search.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

transport system

A latitudinal study on the use of sequential and concurrency patterns in deviance mining

Genga, L., Potena, D., Chiorrini, A., Diamantini, C. & Zannone, N., 1 jan 2020, Studies in Computational Intelligence. Appice, A., Ceci, M., Loglisci, C., Manco, G., Masciari, E. & Ras, Z. (redactie). Cham: Springer, blz. 103-119 17 blz. (Studies in Computational Intelligence; vol. 880).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureHoofdstukAcademicpeer review

Feature extraction

A method for operationalizing service-dominant business models

Suratno, B., 17 mrt 2020, (Geaccepteerd/In druk) Eindhoven: Technische Universiteit Eindhoven.

Onderzoeksoutput: ScriptieDissertatie 1 (Onderzoek TU/e / Promotie TU/e)



2nd prize in The Executable Paper Grand Challenge

Pieter Van Gorp (Ontvanger), 2011

Prijs: AndersWerk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.)Wetenschappelijk

Best Demo Award

Remco M. Dijkman (Ontvanger), 2019

Prijs: AndersWerk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.)Wetenschappelijk


Best Paper Award

Hans Schippers (Ontvanger), 2007

Prijs: AndersWerk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.)Wetenschappelijk

Activiteiten 1997 2020

34rd AAAI Conference on Artificial Intelligence

Yingqian Zhang (Lid van programmacomité)

Activiteit: Types deelname aan of organisatie van een evenementCongresWetenschappelijk

Improving ambulance dispatch policy using AI

Yingqian Zhang (Uitgenodigde spreker)
6 nov 2019

Activiteit: Types gesprekken of presentatiesGenodigd sprekerWetenschappelijk

International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement (Evenement)

Baris Ozkan (Voorzitter)
7 okt 20199 okt 2019

Activiteit: Types lidmaatschapLidmaatschap van commissieWetenschappelijk


TU/e starts joint research institute with Zhejiang University

Jun Hu, Uzay Kaymak & Yuqing Jiao


1 item van Media-aandacht

Pers / media: Vakinhoudelijk commentaar

Melvin Drent receives the Dow Chemical Master’s Thesis Award

Tarkan Tan, Rob J.I. Basten & Anna M. Wilbik


1 item van Media-aandacht

Pers / media: Vakinhoudelijk commentaar


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

Auteur: Kiemeneij, N., 31 jan 2018

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

Scriptie/masterproef: Master


Achieving more accurate truck warning lights by descriptive and predictive analytics

Auteur: van de Donk, W., 31 mei 2019

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

Scriptie/masterproef: Master


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

Auteur: Zamora, G., 30 jun 2017

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

Scriptie/masterproef: Master