Research Output per year
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.
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Research Output 2002 2019
Decision support for declarative artifact-centric process models
Voorberg, S., Eshuis, R., van Jaarsveld, W. & van Houtum, G. J., 2019, Business Process Management Forum - BPM Forum 2019, Proceedings. Hildebrandt, T., van Dongen, B. F., Röglinger, M. & Mendling, J. (eds.). Cham: Springer, p. 36-52 17 p. (Lecture Notes in Business Information Processing; vol. 360).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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 proceeding › Conference contribution › Academic › peer-review
Modeling decision-intensive processes with declarative business artifacts
Eshuis, R., 6 Oct 2019, Service Research and Innovation - 7th Australian Symposium, ASSRI 2018, Revised Selected Papers: 7th Australian Symposium, ASSRI 2018, Sydney, NSW, Australia, September 6, 2018, and Wollongong, NSW, Australia, December 14, 2018, Revised Selected Papers. Lam, H-P. & Mistry, S. (eds.). Cham: Springer, p. 3-12 10 p. (Lecture Notes in Business Information Processing; vol. 367).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic
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 proceeding › Chapter › Academic › peer-review
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 journal › Article › Academic › peer-review
Prizes
ER Best Paper Award
Rik Eshuis (Recipient), 2012
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
Activities 2017 2019
17th International Conference on Business Process Management
H. (Rik) Eshuis (Member of programme committee)Activity: Participating in or organising an event types › Conference › Scientific
27th International Conference on Cooperative Information Systems
H. (Rik) Eshuis (Member of programme committee)Activity: Participating in or organising an event types › Conference › Scientific
The 17th International Conference on Service-Oriented Computing
H. (Rik) Eshuis (Member of programme committee)Activity: Participating in or organising an event types › Conference › Scientific
Modeling Decision-intensive Processes with Declarative Business Artifacts
H. (Rik) Eshuis (Speaker)Activity: Talk or presentation types › Keynote talk › Scientific
Modeling Decision-intensive Processes with Declarative Business Artifacts
H. (Rik) Eshuis (Speaker)Activity: Talk or presentation types › Keynote talk › Scientific
Courses
Press / Media
Workshop on intelligent service clouds (ISC 2014)
11/08/14
1 item of Media coverage
Press/Media: Expert Comment
1st workshop on resource management in service-oriented computing (RMSOC 2014)
Paul W.P.J. Grefen & H. (Rik) Eshuis
23/06/14
1 item of Media coverage
Press/Media: Expert Comment
Student theses
A comparative study for process mining approaches in a real-life environment
Author: Hoogendoorn, G., 20 Feb 2017Supervisor: Reijers, H. (Supervisor 1), Eshuis, H. (Supervisor 2), Gonzalez Lopez de Murillas, E. (Supervisor 2) & Vos, P. (External person) (External coach)
Student thesis: Master
A deep graph convolutional neural network aiding in finding feasible shunt plans
Author: van de Ven, A., 28 Sep 2018Supervisor: Zhang, Y. (Supervisor 1) & Eshuis, H. (Supervisor 2)
Student thesis: Master
A look into the effects of a business process redesign on the goals of employees: a combination of goal modelling and simulation models
Author: van Dijk, R., 31 Dec 2013Supervisor: Eshuis, H. (Supervisor 1) & Vanderfeesten, I. (Supervisor 2)
Student thesis: Master
An applicability framework for adaptive case management: defining the applicablility of adaptive case management by means of process characterization
Author: Pillaerds, J., 31 Dec 2015Supervisor: Eshuis, H. (Supervisor 1) & Nijssen, E. (Supervisor 2)
Student thesis: Master
An approach to variability management in enterprise architecture
Author: Rurua, N., 31 Oct 2015Supervisor: Eshuis, H. (Supervisor 1), Razavian, M. (Supervisor 2), Fahland, D. (Supervisor 2) & Spierings, A. (External person) (External coach)
Student thesis: Master