Organization profile

Introduction / mission

The research

One of the foundations of computer science today is data. The omnipresence of increasingly large volumes of data has become a key driver for many innovations and new research directions in computer science. Specifically in information systems, data - and the analytics developed on top of this data - have transformed the field from expert-driven to evidence-based, which in turn massively broadens the applicability of results to more and larger contexts. Our main mission is to bridge the gap between process science (BPM, WFM, formal methods, etc.) and data science. This explain the focus on process mining.

Organisational profile

The research 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.

The AIS group tries to make research results accessible by providing (open-source) software. Many advanced process analysis tools and techniques exist today in over 25 commercial packages that were developed in the AIS group over the last 15 years. Our prototyping framework ProM (process mining and process analysis) illustrates that the problems of tomorrow’s practice are the driving force behind the development of new theory, methods, and tools by AIS.

Master's projects

Many master projects are linked to some external organization. Examples are IBM, Pallas Athena, SAP, ING, Deloitte, AMC Hospital, Justice Department, ASML, Philips Medical Systems, Océ, etc.

See the website for more information on the group and its projects.

Fingerprint Dive into the research topics where Information Systems W&I 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
Flow control Engineering & Materials Science
Semantics Engineering & Materials Science
Data mining Engineering & Materials Science
Temporal logic Engineering & Materials Science
Specifications Engineering & Materials Science

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

Research Output 1974 2019

Adversarial balancing-based representation learning for causal effect inference with observational data

Du, X., Sun, L., Duivesteijn, W., Nikolaev, A. & Pechenizkiy, M., 30 Apr 2019, In : arXiv. 17 p., 1904.13335v1.

Research output: Contribution to journalArticleAcademic

Deep learning

Automatic microscope alignment via machine learning

Bhatnagar, P., 24 Oct 2019, Eindhoven: Technische Universiteit Eindhoven. 117 p.

Research output: ThesisPd Eng Thesis

Data stream statistics over sliding windows: how to summarize 150 million updates per second on a single node

Chrysos, G., Papapetrou, O., Pnevmatikatos, D., Dollas, A. & Garofalakis, M., Sep 2019, Proceedings - 29th International Conference on Field-Programmable Logic and Applications, FPL 2019. Sourdis, I., Bouganis, C-S., Alvarez, C., Toledo Diaz, L. A., Valero, P. & Martorell, X. (eds.). Piscataway: Institute of Electrical and Electronics Engineers, p. 278-285 8 p. 8892241

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

Reconfigurable architectures
Information management


Third Prize - National Olympiad in Informatics

Decebal C. Mocanu (Recipient), 1997

Prize: OtherDiscipline relatedScientific

Press / Media

Student theses

Application-grounded evaluation of predictive model explanation methods

Author: Lin, C., 24 Sep 2018

Supervisor: Pechenizkiy, M. (Supervisor 1), van der Zon, S. (Supervisor 2), van Ipenburg, W. (External person) (External coach), Veldsink, J. W. (External person) (External coach) & Papapetrou, O. (Supervisor 2)

Student thesis: Master


Block-sparse evolutionary training using weight momentum evolution: training methods for hardware efficient sparse neural networks

Author: Hagebols, T., 29 Apr 2019

Supervisor: Mocanu, D. (Supervisor 1), Zhang, Y. (Supervisor 2) & Lowet, D. (External coach)

Student thesis: Master

Design and implementation of generic dashboard components for ExSpect

Author: Hoang, A., 31 Dec 1999

Supervisor: Voorhoeve, M. (Supervisor 1), van der Toorn, R. (Supervisor 2) & de Crom, P. (Supervisor 2)

Student thesis: Master