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Personal profile

Research profile

Rik Eshuis works as an Assistant Professor of Information Systems at  Eindhoven University of Technology, in the Department of  Industrial Engineering & Innovation Sciences (IE&IS), subgroup Information Systems. His key areas of expertise include business process modeling, business process management and business information systems engineering. 

His  research  focuses on data-driven business process management for knowledge-intensive processes, i.e. business processes performed by knowledge workers. The research methodology is design science. Models and modeling languages play an important role. His research is embedded in the Process Engineering cluster of the Information Systems subgroup and is on the interface with the Business Intelligence cluster.

Academic background

Rik Eshuis received a PhD in Computer Science in 2002 from the University of Twente. where he also obtained an MSc in Computer Science (1998), with distinction. In 2002/2003, he was a visiting PostDoc at CRP Henri Tudor and LIASIT, Luxembourg. In 2012, he was a visiting scholar at IBM Watson Research Center. He leads the TU/e IS research cluster on Smart Mobility

Rik is, or has been, a member of the Industrial Engineering (TBdk) Curriculum Committee, research school BETA, ACM, IEEE, IEEE Computer Society, Steering Committee European Conference on Service-Oriented and Cloud Computing and the Editorial Board of Open Software Engineering Journal. He was General Chair of the 7th IEEE European Conference on Web Services, co-organiser of several ProGility workshops at WETICE and program co-chair of the 6th IEEE European Conference on Web Services in Dublin. He us a reviewer for several international ISI journals, including ACM Transactions on Software Engineering and Methodology and IEEE Transactions on Software Engineering, Information and Software Technology. He been a member of the program committee for recent international conferences including BPM, CoopIS 2017, ESOCC, ICSOC, IEEE ICCC and IEEE ICWS.

Quote

Operational decision makers have to cope with large amounts of data in their daily work processes. To improve the efficiency and quality of their work, I develop concepts and techniques for smart process management.

Fingerprint Dive into the research topics where H. (Rik) Eshuis is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Research Output 2002 2019

Determining capacity of shunting yards by combining graph classification with local search

van de Ven, A. J. G., Zhang, Y., Lee, W-J., Eshuis, H. & Wilbik, A. M., 2019, 11th International Conference on Agents and Artificial Intelligence (ICAART 2019). Steels, L., Rocha, A. & van den Herik, J. (eds.). SCITEPRESS-Science and Technology Publications, Lda., Vol. 2, p. 285-293 9 p.

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

Open Access
File
Learning systems
Simulators
Industrial applications
Neural networks
Planning

Modeling uncertainty in declarative artifact-centric process models

Eshuis, R. & Firat, M., 29 Jan 2019, Business Process Management Workshops: BPM 2018 International Workshops, Sydney, NSW, Australia, September 9-14, 2018, Revised Papers. Daniel, F., Sheng, Q. Z. & Motahari, H. (eds.). Berlin: Springer, p. 281-293 (Business Process Management Workshops; vol. 342)

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Global system for mobile communications
Industry
Fuzzy logic
Engines
Uncertainty

PGO voor de regio

Vloet, M., 1 Oct 2019, (Accepted/In press) Eindhoven: Technische Universiteit Eindhoven.

Research output: ThesisPd Eng ThesisAcademic

Reasoning about property preservation in adaptive case management

Eshuis, H., Hull, R. & Yi, M., 2019, In : ACM Transactions on Internet Technology. 19, 1, 21 p., 12

Research output: Contribution to journalArticleAcademicpeer-review

Industry

Representing variability in enterprise architecture: a case study

Rurua, N., Eshuis, H. & Razavian, M., 8 Apr 2019, In : Business & Information Systems Engineering. 61, 2, p. 215-227 13 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Industry

Prizes

ER Best Paper Award

Rik Eshuis (Recipient), 2012

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

Activities 2017 2018

  • 2 Keynote talk
  • 1 Membership of committee
  • 1 Invited talk

Modeling Decision-intensive Processes with Declarative Business Artifacts

H. (Rik) Eshuis (Speaker)
10 Sep 2018

Activity: Talk or presentation typesKeynote talkScientific

Modeling Decision-intensive Processes with Declarative Business Artifacts

H. (Rik) Eshuis (Speaker)
6 Sep 2018

Activity: Talk or presentation typesKeynote talkScientific

16th International Conference on Business Process Management, BPM 2018 (Event)

H. (Rik) Eshuis (Member)
2018

Activity: Membership typesMembership of committeeScientific

Verification of data-driven business processes

H. (Rik) Eshuis (Speaker)
5 Jul 2017

Activity: Talk or presentation typesInvited talkScientific

Student theses

A comparative study for process mining approaches in a real-life environment

Author: Hoogendoorn, G., 20 Feb 2017

Supervisor: Reijers, H. (Supervisor 1), Eshuis, H. (Supervisor 2), Gonzalez Lopez de Murillas, E. (Supervisor 2) & Vos, P. (External person) (External coach)

Student thesis: Master

File

A deep graph convolutional neural network aiding in finding feasible shunt plans

Author: van de Ven, A., 28 Sep 2018

Supervisor: Zhang, Y. (Supervisor 1) & Eshuis, H. (Supervisor 2)

Student thesis: Master

File
File

An approach to variability management in enterprise architecture

Author: Rurua, N., 31 Oct 2015

Supervisor: Eshuis, H. (Supervisor 1), Razavian, M. (Supervisor 2), Fahland, D. (Supervisor 2) & Spierings, A. (External person) (External coach)

Student thesis: Master

File