Projects per year
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.
Profiles
Decebal C. Mocanu
- Department of Mathematics and Computer Science, Information Systems W&I - Assistant Professor
- Department of Mathematics and Computer Science, Information Systems WSK&I - Assistant Professor
- Department of Mathematics and Computer Science, Data Mining
Person: UD : Assistant Professor
Odysseas Papapetrou
- Department of Mathematics and Computer Science, Information Systems W&I - Assistant Professor
- Department of Mathematics and Computer Science, Information Systems WSK&I - Assistant Professor
Person: UD : Assistant Professor
Zahra Toosinezhad, MSc
- Department of Mathematics and Computer Science, Information Systems W&I - Doctoral Candidate
- Department of Mathematics and Computer Science, Information Systems WSK&I - Doctoral Candidate
Person: Prom. : doctoral candidate (PhD)
Projects 2016 2018
- 1 Finished
Interoperability of Heterogeneous IoT Platforms
Liotta, A., Exarchakos, G., van Hout, J., Mocanu, D. C., van der Lee, T., van Mil, J., van Mil, J. & Exarchakos, G.
1/01/16 → 31/12/18
Project: Research direct
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 journal › Article › Academic
Open Access
File
Education
Experiments
Deep learning
Automatic microscope alignment via machine learning
Bhatnagar, P., 24 Oct 2019, Eindhoven: Technische Universiteit Eindhoven.Research output: Thesis › Pd Eng Thesis
Evolution of biologically inspired learning in artificial neural networks
Yaman, A., 19 Nov 2019, Eindhoven: Technische Universiteit Eindhoven. 149 p.Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)
Open Access
File
Prizes
Third Prize - National Olympiad in Informatics
Decebal C. Mocanu (Recipient), 1997
Prize: Other › Discipline related › Scientific
Press / Media
-The University of Oslo: New AI method increases the power of artificial neural networks
20/06/18
1 item of Media coverage
Press/Media: Expert Comment
New AI method increases the power of artificial neural networks
20/06/18
1 item of Media coverage
Press/Media: Expert Comment
5th international workshop on cloud data and platforms (CLOUDDP 2015)
15/12/14
1 item of Media coverage
Press/Media: Expert Comment
Student theses
Application-grounded evaluation of predictive model explanation methods
Author: Lin, C., 24 Sep 2018Supervisor: 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
File
Block-sparse evolutionary training using weight momentum evolution: training methods for hardware efficient sparse neural networks
Author: Hagebols, T., 29 Apr 2019Supervisor: 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 1999Supervisor: Voorhoeve, M. (Supervisor 1), van der Toorn, R. (Supervisor 2) & de Crom, P. (Supervisor 2)
Student thesis: Master