Organisatieprofiel

Introductie / missie

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.

Over de organisatie

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.

Vingerafdruk Verdiep u in de onderzoeksgebieden waarop Information Systems W&I actief is. Deze onderwerplabels komen uit het werk van de leden van deze organisatie. Samen vormen ze een unieke vingerafdruk.

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

    Onderzoeksoutput

    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 blz., 1904.13335v1.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademic

  • Automatic microscope alignment via machine learning

    Bhatnagar, P., 24 okt 2019, Eindhoven: Technische Universiteit Eindhoven. 117 blz.

    Onderzoeksoutput: ScriptiePd 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. (redactie). Piscataway: Institute of Electrical and Electronics Engineers, blz. 278-285 8 blz. 8892241

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

  • Prijzen

    Third Prize - National Olympiad in Informatics

    Decebal C. Mocanu (Ontvanger), 1997

    Prijs: AndersDiscipline gerelateerdWetenschappelijk

    Knipsels

    -The University of Oslo: New AI method increases the power of artificial neural networks

    Decebal C. Mocanu

    20/06/18

    1 item van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar

    New AI method increases the power of artificial neural networks

    Decebal C. Mocanu

    20/06/18

    1 item van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar

    5th international workshop on cloud data and platforms (CLOUDDP 2015)

    Odysseas Papapetrou

    15/12/14

    1 item van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar

    Scripties/Masterproeven

    Application-grounded evaluation of predictive model explanation methods

    Auteur: Lin, C., 24 sep 2018

    Begeleider: Pechenizkiy, M. (Afstudeerdocent 1), van der Zon, S. (Afstudeerdocent 2), van Ipenburg, W. (Externe persoon) (Externe coach), Veldsink, J. W. (Externe persoon) (Externe coach) & Papapetrou, O. (Afstudeerdocent 2)

    Scriptie/masterproef: Master

    Bestand

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

    Auteur: Hagebols, T., 29 apr 2019

    Begeleider: Mocanu, D. (Afstudeerdocent 1), Zhang, Y. (Afstudeerdocent 2) & Lowet, D. (Externe coach)

    Scriptie/masterproef: Master

    Design and implementation of generic dashboard components for ExSpect

    Auteur: Hoang, A., 31 dec 1999

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

    Scriptie/masterproef: Master