Rik Eshuis
Department / Institute
RESEARCH PROFILE
Rik Eshuis works as an Associate Professor of Intelligent Information Systems at 鈥疎indhoven University of Technology, in the Department of鈥� 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 core research centers on enhancing data-driven business processes that rely heavily on the expertise of knowledge workers. These processes are prevalent in sectors such as healthcare, defense, high-tech industry, in the areas of development, operations, and maintenance. He is dedicated to exploring and teaching intelligent, adaptive process management approaches that support the dynamic nature of knowledge-intensive work.
He has played a key role in numerous national and EU-funded research projects, collaborating closely with industry partners to push the boundaries of flexible business process support. Recently, he contributed to the Horizon 2020 project, where he overlooked the design of an open digital platform to streamline the operational and regulatory aspects of medicinal product development. He is currently contributing to the national UPSCALE project, where he is helping to design a cutting-edge digital infrastructure for managing construction and demolition waste鈥攍everaging Digital Twin technology and Green Business Process Management (Green BPM) to drive sustainable innovation in the built environment.
His research is embedded in the Process Engineering cluster within the Information Systems subgroup and is on the interface with the Artificial Intelligence for Decision Making (formerly known as Business Intelligence) cluster, bridging process innovation with AI-driven decision support.
SUPERVISION
Rik Eshuis is co-promotor of:
- Zeynep Ozturk, MSc
- Simon Voorberg, MSc
Knowledge workers need to take interdependent, data-driven decisions in their daily work processes. To improve the efficiency and quality of their work, I develop concepts and techniques for intelligent process management.
ACADEMIC BACKGROUND
Rik Eshuis received a PhD in Computer Science from the 鈥疷niversity of Twente, where he also received an MSc in Computer Science, with distinction. He was a visiting scholar at鈥疘BM Watson Research Center, NY, and a visiting PostDoc at鈥疌RP Henri Tudor鈥痑nd LIASIT, Luxembourg.鈥� He coordinated the 果冻传媒 IS research cluster on鈥� Process Engineering (2019-2022). He has published over 80 peer-reviewed journal and conference papers in the area of Information Systems. Rik Eshuis acts as regular reviewer for several international ISI journals, including鈥疉CM Transactions on Software Engineering and Methodology and鈥疘EEE Transactions on Software Engineering, 鈥疘nformation and Software Technology, Software and Systems Modeling, and Information Systems. He is a member of the program committee for recent international conferences including BPM, CoopIS, ICSOC. He has served as Programme Chair of IEEE EDOC 2020 and IEEE ECOWS 2008, and as General Chair of IEEE ECOWS 2009. Next, he has organized several workshops on innovative topics in Business Process Management, such as data-centric BPM.
He is a senior member of IEEE and a member of ACM.
More information about Rik can be found in his .
Key Publications
Current 果冻传媒al Activities
Ancillary Activities
No ancillary activities