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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Food fraud detection using explainable artificial intelligence
Expert Systems (2025), Volume: 42, Issue: 1 - ISSN 0266-4720 -
A Reference Architecture for Virtual Human Integration in the Metaverse : Enhancing the Galleries, Libraries, Archives, and Museums (GLAM) Sector with AI-Driven Experiences
Future Internet (2025), Volume: 17, Issue: 1 - ISSN 1999-5903 -
Evaluating Generalization of Methods for Artificially Generating NDVI from UAV RGB Imagery in Vineyards
Remote Sensing (2025), Volume: 17, Issue: 3 - ISSN 2072-4292 -
DigiFungi : An education software for button mushrooms
SoftwareX (2025), Volume: 29 - ISSN 2352-7110 -
A machine learning algorithm for personalized healthy and sustainable grocery product recommendations
International Journal of Information Management Data Insights (2025), Volume: 5, Issue: 1 - ISSN 2667-0968 -
Integrated framework for multipurpose UAV Path Planning in hedgerow systems considering the biophysical environment
Crop Protection (2025), Volume: 187 - ISSN 0261-2194
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.
