Kamal Kansou

**Methods for assessment of food or bio-based materials in bioeconomy systems** Transformations of plant-based products, either for food or for bio-based materials, must be driven by bioeconomy principles, such as healthier foods, improve re-using, recycling of products. To effectively link these overaching principles to the processing of complex biologicial entities like plant materials (starch, proteins, plant cell wall, wheat flour) is a quite challenging goal, that can benefit from suitable modeling and knowledge engineering method. A part of my research consists in designing and adapting these methods to capture the heterogeneous knowledge about plant-based processing such as technological knowledge about the process conditions – flour specifications and kneading conditions – and the dough sensory properties. To do so I favor knowledge engineering, combing knowledge elicitation and knowledge representation techniques e.g. qualitative reasoning, but also more classical data analysis and modelling techniques. Dr. **Kamal Kansou** is currently researcher at INRAE Nantes. He has got an engineering degree in agronomy and a PhD in process engineering from the University of Science and Technologies of Nantes (France) in 2010. His thesis work involved the symbolic representation of know-how associated with breadmaking. He was one of the authors of an expert system about the baking test, called Ascopain. From 2010 to 2011 he was postdoctoral fellow at the Informatics Institute of the University of Amsterdam during which he worked on the Qualitative Reasoning modelling. His current research involves the development of data-based and knowledge-based models applied to food or biomass processing.