Create value through intelligent processing of business information
Information Systems are at the core of modern-day organizations. Both within and between organizations. The Information Systems group studies tools and techniques that help to use them in the best possible way, to get the most value out of them.Read more
We work on Information Systems topics in three related research areas.
Process Engineering (PE) develops integrated tools and techniques for data-driven decision support in the design and execution of...
Business Intelligence (BI) develops methods, techniques and tools for data-driven decision making in operational business process.
Business Engineering (BE) investigates and develops new concepts, methods, and techniques - including novel data-driven approaches - for the...
We focus on the application of Information Systems in the following domains.
Information Systems are the backbone of modern health(care) ecosystems. They are critical for clinical research, clinical operations, and...
Transportation and Logistics
Information Systems facilitate monitoring and planning of transportation and logistics resources. By doing so, they ultimately help to...
Service organizations, including banks, insurance companies, and governmental bodies, fully rely on information provisioning to do their...
The digital transformation of industry is leveraged by Information Systems providing integrated data and process management and AI-enabled...
Information Systems focuses on the business architecture design of new mobility solutions that are safe, efficient, affordable and...
Meet some of our researchers
Isel Grau Garcia
Pieter Van Gorp
Our most recent peer reviewed publications
SciModeler: A Toolbox for Consolidating Scientific Knowledge within the Field of Health Behavior ChangeSN Computer Science (2023)
MaaS Platform Features: An Exploration of their Relationship and Importance from Supply and Demand PerspectiveJournal of Urban Mobility (2022)
Patents and knowledge diffusionResearch Policy (2022)
Optimizing the inventory and fulfillment of an omnichannel retailer: a stochastic approach with scenario clusteringComputers & Industrial Engineering (2022)
A Markov model for inferring event types on diabetes patients dataHealthcare Analytics (2022)