Organization profile

Highlighted phrase

The section IS studies subjects related to the design, realization, analysis and optimization of information systems.


Organisational profile

The section IS comprises four chairs:

Analytics for Information System

The research of the Analytics for Information Systems (AIS) chair concentrates on formalisms for modeling and methods to discover and analyze models. Fundamental to the research group at the Eindhoven University of Technology is the choice for Petri nets as the language to precisely describe process dynamics also in complex settings at a foundational level. The choice for this language is what distinguishes our research group from research groups in more industrial engineering oriented information systems groups.

Artificial intelligence

The focus of the Artificial Intelligence (AI) research group is primarily on the AI fundamentals, techniques, and tools/frameworks for successful applications of AI, e.g., in data science, automated reasoning, decision support systems, recommender systems, and chemical informatics. We focus on the theoretical foundations, the limits of feasibility, and efficient and scalable realization of AI methodologies and techniques. These investigations are typically driven by real world application partners and challenges.

Database Group

Data-intensive systems are crucial in modern computing, analytics, and data science.  The Database (DB) group studies core engineering and foundational challenges in scalable and effective management of big data.  Current DB group research focuses primarily on problems in the management of massive graphs such as social and biological networks. Expertise within the group is on query language design, query optimization and evaluation, data analytics, data integration, and personalization.

Data Mining

The Data Mining (DM) chair studies techniques and knowledge discovery approaches that are at the core of data science. The group is known for its contributions to the areas of predictive analytics, automation of machine learning and networked science, subgroup discovery and exceptional model mining, and similarity computations on complex data.

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

Projects 2016 2018

Interoperability of Heterogeneous IoT Platforms

Liotta, A., Exarchakos, G., van Hout, J., Mocanu, D., Moerenhout, M., Moerenhout, M. & van der Lee, T.


Project: Research direct

Research Output 1969 2019

An effective and efficient approach for supporting the generation of synthetic memory reference traces via hierarchical hidden/non-hidden Markov Models

Cuzzocrea, A., Mumolo, E. & Hassani, M., 16 Jan 2019, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers (IEEE), p. 2953-2959 7 p. 8616498

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

Learning systems
Data storage equipment
Markov model
Machine Learning

Automatic machine learning: methods, systems, challenges

Hutter, F., Kotthoff, L. & Vanschoren, J., 2019, (Accepted/In press) New York: Springer. 242 p. (Challenges in Machine Learning)

Research output: Book/ReportBook editingAcademicpeer-review

Open Access
Learning systems

Automation for information security using machine learning

Thaler, S. M., 20 Feb 2019, Eindhoven: Technische Universiteit Eindhoven. 129 p.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)Academic

Open Access


NASA Crew Exploration Vehicle (CEV) Software Event Log

Leemans, M. (Creator), 4TU.Centre for Research Data, 21 Apr 2017


Sepsis Cases - event log

Mannhardt, F. (Creator), 4TU.Centre for Research Data, 2016



2nd place at the Ngi-NGN informatie scriptieprijs

Niek Tax (Recipient), 2015

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

Alexander von Humboldt Professorship

Wil van der Aalst (Recipient), 2017

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

Amazon Research Award

Joaquin Vanschoren (Recipient), 15 Jan 2019

Recognition: OtherDiscipline relatedScientific


Activities 2007 2018

Tutorial on Automatic Machine Learning

Frank Hutter (Speaker), Joaquin Vanschoren (Speaker)
3 Dec 2018

Activity: Talk or presentation typesKeynote talkScientific

Democratizing and Automating Machine Learning

Joaquin Vanschoren (Speaker)
15 Jun 2018

Activity: Talk or presentation typesInvited talkScientific

Machine Learning, better, together.

Joaquin Vanschoren (Speaker)
8 Dec 2018

Activity: Talk or presentation typesInvited talkScientific

Press / Media

Obituaries for Jan. 25, 2017

George Fletcher


1 item of media coverage

Press/Media: Expert Comment

Trisotech and Fluxicon Provide Extended Process Mining Capabilities

Anne Rozinat


6 items of media coverage

Press/Media: Expert Comment

Student theses

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


A computational biology framework: a data analysis tool to support biomedical engineers in their research

Author: Beishuizen, T., 29 Nov 2018

Supervisor: Bosnacki, D. (Supervisor 1), Cheplygina, V. (Supervisor 2), Hilbers, P. (Supervisor 2), Fletcher, G. (Supervisor 2) & Vanschoren, J. (Supervisor 2)

Student thesis: Master

Active learning for text classification

Author: Šostak, T., 24 Sep 2018

Supervisor: Vanschoren, J. (Supervisor 1) & Schaefers, K. (External person) (External coach)

Student thesis: Master