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
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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 -
What is behind land use change in tropical forests? From local relations to global mining concessions
Ecology and Society (2025), Volume: 30, Issue: 1 - ISSN 1708-3087 -
Effective Cultivated Land Extraction in Complex Terrain Using High-Resolution Imagery and Deep Learning Method
Remote Sensing (2025), Volume: 17, Issue: 5 - ISSN 2072-4292 -
GrapeSLAM : UAV-based monocular visual dataset for SLAM, SfM and 3D reconstruction with trajectories under challenging illumination conditions
Data in Brief (2025), Volume: 60 - ISSN 2352-3409 -
DigiFungi : An education software for button mushrooms
SoftwareX (2025), Volume: 29 - ISSN 2352-7110 -
ETDS: A Novel Electricity Theft Detection System for Highly Unbalanced Data in Smart Grids
IEEE Transactions on Industrial Informatics (2025), Volume: 21, Issue: 3 - ISSN 1551-3203 - p. 2114-2123.
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.
