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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Automated collection of facial temperatures in dairy cows via improved UNet
Computers and Electronics in Agriculture (2024), Volume: 220 - ISSN 0168-1699 -
UAV‐based simultaneous localization and mapping in outdoor environments: A systematic scoping review
Journal of Field Robotics (2024) - ISSN 1556-4959 -
Farmer Options and Risks in Complex Ecological-Social systems : The FORCES game designed for agroforestry management of upper watersheds
Agricultural Systems (2024), Volume: 213 - ISSN 0308-521X -
Architecture and Governance of Digital Business Ecosystems : A Systematic Literature Review
Information Systems Management (ISM) (2024), Volume: 41, Issue: 1 - ISSN 1058-0530 - p. 58-90. -
Detecting deviations in the code using architecture view-based drift analysis
Computer Standards and Interfaces (2024), Volume: 87 - ISSN 0920-5489 -
Virtual reality for biochemistry education: the cellular factory
Education and Information Technologies (2024), Volume: 29, Issue: 2 - ISSN 1360-2357 - p. 1647-1672.
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.