Information Technology
Our mission is to advance the field of smart systems engineering and informatics through education, research, and collaboration. We conduct cutting-edge research that pushes the boundaries of knowledge and addresses real-world challenges in food and health, business, and society. We work closely with industry, government, and other academic institutions to create a vibrant ecosystem of innovation, where our ideas can have a tangible impact on people's lives.
News
Impact stories
Latest publications
-
Identification of factors associated with acute malnutrition in children under 5 years and forecasting future prevalence : Assessing the potential of statistical and machine learning methods
BMJ Public Health (2025), Volume: 3, Issue: 1 - ISSN 2753-4294 -
Job Scheduling in Hybrid Clouds With Privacy Constraints : A Deep Reinforcement Learning Approach
Concurrency and Computation: Practice and Experience (2025), Volume: 37, Issue: 1 - ISSN 1532-0626 -
Enhancing Education in Agriculture via XR-Based Digital Twins : A Novel Approach for the Next Generation
Applied System Innovation (2025), Volume: 8, Issue: 2 - ISSN 2571-5577 -
Interdisciplinary hackathons for community-based co-design with older adults : a case study
CoDesign (2025), Volume: 21, Issue: 1 - ISSN 1571-0882 - p. 136-151. -
Food fraud detection using explainable artificial intelligence
Expert Systems (2025), Volume: 42, Issue: 1 - ISSN 0266-4720 -
Health in All Networks Simulator : mixed-methods protocol to test social network interventions for resilience, health and well-being of adults in Amsterdam
BMJ Open (2025), Volume: 15, Issue: 4 - ISSN 2044-6055
Vacancy
Education
We offer a variety of courses at BSc and MSc level that are taken by students from all study programmes of Wageningen University & Research. The courses are aligned to our overall objective for realizing smart system engineering. In parallel with our courses we offer interesting MSc and BSc thesis assignments. Further, we have an active PhD programme in which research is carried out in close collaboration with the life sciences application domains.
Research
We adopt a holistic, multidisciplinary, and interdisciplinary approach to our work, with the aim of integrating data, software, hardware, people, and processes within the organizational, institutional, and societal context. We recognize that this approach is inherently complex, given the unpredictable behavior and interaction of system components in their environment. To address this challenge, we focus on several important generic and applied research themes.
