Information Technology
Our mission is to advance the state-of-the-art of smart systems and system of systems engineering to support innovations in the life sciences application domains. Hereby, we focus on software engineering, data science, and socio-technical systems engineering.
News
Latest publications
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MPC-CSAS : Multi-Party Computation for Real-Time Privacy-Preserving Speed Advisory Systems
IEEE Transactions on Intelligent Transportation Systems (2021). - ISSN 1524-9050 - p. 1 - 7. -
Remaining useful life (Rul) prediction of equipment in production lines using artificial neural networks
Sensors 21 (2021)3. - ISSN 1424-8220 - p. 1 - 20. -
Exploring the Challenges Posed by Regulations for the Use of Drones in Agriculture in the African Context
Land 10 (2021)2. - ISSN 2073-445X -
Ex Ante Impact Assessment of Reservoir Construction Projects for Different Stakeholders Using Agent-Based Modeling
Water Resources Management (2021). - ISSN 0920-4741 -
Cluster-based flow control in hybrid software-defined wireless sensor networks
Computer Networks 187 (2021). - ISSN 1389-1286 -
Computer vision-based weight estimation of livestock : a systematic literature review
New Zealand Journal of Agricultural Research (2021). - ISSN 0028-8233
Vacancies
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.
Section Business Science
Local Business, the newsletter for the section Business Science
Research
The INF group aims to take the important role of supporting the research necessary for engineering of smart software-intensive systems for the life sciences application domains. To this end, we adopt a system engineering approach that is necessary for the analysis, design, testing, and management of complex smart systems. This implies a holistic multidisciplinary approach that aims to integrate data, software, hardware, people and processes within the organizational, institutional and societal context