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 Duik in de onderzoeksthema's waar Information Systems W&I 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
Petri nets Engineering en materiaalwetenschappen
Information systems Engineering en materiaalwetenschappen
Flow control Engineering en materiaalwetenschappen
Semantics Engineering en materiaalwetenschappen
Data mining Engineering en materiaalwetenschappen
Temporal logic Engineering en materiaalwetenschappen
Specifications Engineering en materiaalwetenschappen

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

Projecten 2016 2018

Interoperability of Heterogeneous IoT Platforms

Exarchakos, G., van Hout, J., Mocanu, D. C., van der Lee, T., van Mil, J., van Mil, J. & Exarchakos, G.

1/01/1631/12/18

Project: Onderzoek direct

Onderzoeksoutput 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 blz., 1904.13335v1.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademic

Education
Experiments
Deep learning

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

sliding
Statistics
statistics
Reconfigurable architectures
Information management

Prijzen

Third Prize - National Olympiad in Informatics

Decebal C. Mocanu (Ontvanger), 1997

Prijs: AndersDiscipline gerelateerdWetenschappelijk

Pers/media

-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