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Personal profile

Quote

"Organizations that are unable to use (big) data in a smart way will not survive. However, it is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis."

Research profile

Wil van der Aalst is a part-time Full Professor of Information Systems at the Eindhoven University of Technology (TU/e). He is also a professor Full Professor RWTH Aachen University. Before, he was scientific director at Data Science Center Eindhoven (DSC/e). His research interests include workflow management, process mining, Petri nets, business process management, process modeling, and process analysis. Another key interest is process mining, a new scientific discipline on the interface between process models and event data. Process mining aims to bridge the gap between Business Process Management and Workflow Management on the one hand and Data Mining, Business Intelligence, and Machine Learning on the other hand.

In Wil’s view, data science aims to answer questions in the following four categories:

Reporting: What happened?

Diagnosis: Why did it happen?

Prediction: What will happen?

Recommendation: What is the best that can happen?

To adequately answer such questions there is not just a need for raw data and computing power. Expertise in data/process mining, probability/statistics/stochastics, and visualization are vital.

Academic background

Wil van der Aalst obtained his PhD in Mathematics from TU/e. He holds a part-time position at Queensland University of Technology (QUT), is a visiting researcher at Fondazione Bruno Kessler in Trento and member of the Board of Governors of Tilburg University. He is an honorary guest professor at Tsinghua University and the National Research University, Higher School of Economics, Moscow, where he also served as scientific director of the International Laboratory of Process-Aware Information Systems. In 2012, he received the doctor honoris causa degree from Hasselt University, Belgium.

Wil is a Distinguished University Professor of TU/e, a member of the Council for Physics and Technical Sciences of the Royal Netherlands Academy of Arts and Sciences a member of the Royal Holland Society of Sciences and Humanities (KNAW) and the Academy of Europe (Academia Europaea). He has published more than 200 journal papers, 20 books (as author or editor), 450 refereed conference/workshop publications, and 65 book chapters. He has been co-chair of many conferences, is an editor/member of the editorial board of several journals and serves on the advisory boards of several organizations. In 2017 he was awarded a Humboldt Professorship, Germany’s most valuable research award (€5m). Since January 2018 he is leading the Process and Data Science (PADS) group at RWTH Aachen University.

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Industry Engineering & Materials Science
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Research Output 1990 2019

Open Access
File
Industry
Frequency standards

Generating time-based label refinements to discover more precise process models

Tax, N., Alasgarov, E. E., Sidorova, N., Haakma, R. & van der Aalst, W. M. P., 2019, In : Journal of Ambient Intelligence and Smart Environments. 16 p., 1705.09359v2

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Labels
Sensors

Interactive process mining

Dixit, A., 19 Jun 2019, (Accepted/In press) Eindhoven: Technische Universiteit Eindhoven.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)Academic

Process mining based on object-centric behavioral constraint (OCBC) models

Li, G., 14 May 2019, (Accepted/In press) Eindhoven. 368 p.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)Academic

Open Access
File

Process mining on databases: extracting event data from real-life data sources

Gonzalez Lopez de Murillas, E., 27 Feb 2019, Eindhoven: Technische Universiteit Eindhoven. 231 p.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)Academic

Open Access
File

Prizes

Alexander von Humboldt Professorship

Wil van der Aalst (Recipient), 2017

Recognition: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

Best paper award SIMPDA 2015

Bart Hompes (Recipient), J.C.A.M. Buijs (Recipient), Wil van der Aalst (Recipient), Alok Dixit (Recipient) & Hans Buurman (Recipient), 11 Dec 2015

Recognition: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

Best paper full paper award at the 14th International Conference on Intelligent Environments (IE 2018)

Niek Tax (Recipient), Wil van der Aalst (Recipient), Reinder Haakma (Recipient) & Natalia Sidorova (Recipient), 28 Jun 2018

Recognition: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

doctor honoris causa

Wil van der Aalst (Recipient), 2012

Recognition: OtherHonorary degreesScientific

Belgium

Activities 1997 2007

  • 5 Editorial activity
  • 3 Contributed talk

International Journal of Business Process Integration and Management (Journal)

Wil van der Aalst (Editorial board member)
2007

Activity: Publication peer-review and editorial work typesEditorial activityScientific

International Journal of Business Process Integration and Management (Journal)

Wil van der Aalst (Editorial board member)
2007

Activity: Publication peer-review and editorial work typesEditorial activityScientific

Data & Knowledge Engineering (Journal)

Wil van der Aalst (Editorial board member)
2007

Activity: Publication peer-review and editorial work typesEditorial activityScientific

IEEE Transactions on Services Computing (Journal)

Wil van der Aalst (Editorial board member)
2007

Activity: Publication peer-review and editorial work typesEditorial activityScientific

Computers in Industry (Journal)

Wil van der Aalst (Editorial board member)
2004

Activity: Publication peer-review and editorial work typesEditorial activityScientific

Student theses

Analysis of scheduling problems by means of INA/ExSpect

Author: Peters, N., 30 Nov 1994

Supervisor: Somers, L. (Supervisor 1), van der Aalst, W. (Supervisor 2) & Voorhoeve, M. (Supervisor 2)

Student thesis: Master

Automatic determination of graph simplification parameter values for fuzzy miner

Author: Xia, J., 30 Nov 2010

Supervisor: van der Aalst, W. (Supervisor 1)

Student thesis: Master

File

BPM in the cloud

Author: van der Avoort, T., 31 Mar 2013

Supervisor: van der Aalst, W. (Supervisor 1), Schunselaar, D. (Supervisor 2) & Mak, R. (Supervisor 2)

Student thesis: Master

File

Business process analysis with semantic dotted chart: extracting X-Ray usage information from log files using semantic process mining

Author: Bozkaya, M., 5 Oct 2011

Supervisor: van der Aalst, W. (Supervisor 1) & van Rooij, W. (External person) (Supervisor 2)

Student thesis: Master

File

Business process hierarchies: analysis of hierarchical information in path-based event logs

Author: Pennekamp, K., 31 Oct 2016

Supervisor: van der Aalst, W. (Supervisor 1), Dijkman, R. (Supervisor 2) & Toorn, van der, R. (External person) (External coach)

Student thesis: Master

File