Dr. Rogier Brussee

dr. Rogier Brussee


  • Research profile:Use of data in Agri, food as well as the Environmental footprint it has.  I am interested in signal analysis of digital sensors including in Industrial settings. I am also interested in the mathematics of data science and AI.
  • Research expertise: Agrifood, Environment, Remote Sensing, Image Analysis, Signal analysis, Mathematics.


Since 2019 I am lecturer in the Agri-Food- Nature and Data group where I teach in the Data Driven Food Value Chain course as well as supervising master theses and PD Eng projects. I previously held positions at the university of applied sciences in Utrecht, the Telematica Institute/Novay in Enschede, Universität Bielefeld and Universität Bayreuth (BRD), and was a post-doc at Oxford University.  I got a PhD in and worked as a pure mathematician. However, since the 2000 I have been involved in more applied projects with industry partners such as IBM, Microsoft, Basell, Unilever, Fruitmasters, and Abbott. I have also collaborated with non-profit partners such as the Roessingh revalidation centre, Rijksmuseum, and the Dutch archives. At JADS I was project manager for the Farm-IT project to train data scientists in the agrifood field and am currently involved with the Restretch project on reverse stress testing food supply chains.

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Research Projects

JADS also participates in several (international) projects, which contribute to grand societal challenges like health, food security, smart transport and secure societies. Together with companies, government, NGO’s and other knowledge institutions, JADS works on solutions by using data.

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