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.

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.

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.