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.

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    Research Output

    A parallel and distributed approach for diversified top-k best region search

    Shahrivari, H., Olma, M., Papapetrou, O., Skoutas, D. & Ailamaki, A., 1 Jan 2020, Advances in Database Technology - EDBT 2020: 23rd International Conference on Extending Database Technology, Proceedings. Bonifati, A., Zhou, Y., Vaz Salles, M. A., Bohm, A., Olteanu, D., Fletcher, G., Khan, A. & Yang, B. (eds.)., p. 265-276 12 p.

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

    Open Access
  • 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

  • Automatic microscope alignment via machine learning

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

    Research output: ThesisPd Eng Thesis


    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