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.
Latest publications
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Privacy and Integrity Protection for IoT Multimodal Data using Machine Learning and Blockchain
ACM Transactions on Multimedia Computing, Communications, and Applications (2024) - ISSN 1551-6857 -
Leveraging citizen science for monitoring urban forageable plants
GigaScience (2024), Volume: 13 - ISSN 2047-217X -
Object detection and tracking in Precision Farming : a systematic review
Computers and Electronics in Agriculture (2024), Volume: 219 - ISSN 0168-1699 -
Citizen science data on urban forageable plants: a case study in Brazil
Gigabyte (2024), Volume: 2024 - ISSN 2709-4715 -
Making food systems more resilient to food safety risks by including artificial intelligence, big data, and internet of things into food safety early warning and emerging risk identification tools
Comprehensive Reviews in Food Science and Food Safety (2024), Volume: 23, Issue: 1 - ISSN 1541-4337 - p. 1-18. -
Test suite assessment of safety-critical systems using safety tactics and fault-based mutation testing
Cluster Computing (2024) - ISSN 1386-7857
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.