
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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A systematic review on food recommender systems
Expert Systems with Applications (2024), Volume: 238 - ISSN 0957-4174 -
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 -
Adaptive organizational responses to varied types of failures: Empirical insights from technology providers in Ghana
Technovation (2024), Volume: 129 - ISSN 0166-4972 -
Detecting deviations in the code using architecture view-based drift analysis
Computer Standards and Interfaces (2024), Volume: 87 - ISSN 0920-5489 -
Real-Time Object Detection Based on UAV Remote Sensing: A Systematic Literature Review
Drones (2023), Volume: 7, Issue: 10 - ISSN 2504-446X -
Comparing Nadir and Oblique Thermal Imagery in UAV-Based 3D Crop Water Stress Index Applications for Precision Viticulture with LiDAR Validation
Sensors (2023), Volume: 23, Issue: 20 - ISSN 1424-8220
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.