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

Contribution to the Social Simulation Conference 2019
24 September 2019

Latest publications

Preface

Athanasiadis, Ioannis N. , Frysinger, Steven P. , Schimak, Gerald , Knibbe, Willem Jan (2020) IFIP Advances in Information and Communication Technology 554 (2020). - ISSN 1868-4238 - p. v - v.
Development of a recurrent neural networks-based calving prediction model using activity and behavioral data

Keceli, Ali Seydi , Catal, Cagatay , Kaya, Aydin , Tekinerdogan, Bedir (2020) Computers and Electronics in Agriculture 170 (2020). - ISSN 0168-1699

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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.

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Section Business Science

INF is part of 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

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INF Thesis Topics