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networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our
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. The central aim is to design intelligent systems that dynamically adapt the environment to support optimal learning conditions, based on real-time neurophysiological feedback. Key principles guiding
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soil C and N cycling, non-destructive visualization of soil structure and plant roots using X-ray CT Micro2Soil Laboratory, Department of Biochemistry and Microbiology, FW-UGent (prof. Caroline De Tender
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staff and students. Within the faculty of Engineering and Architecture, the IDLab research group performs research on 1) connectivity and 2) data science & artificial intelligence. In these research areas
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intelligence. In these research areas we focus on 1) foundations, 2) system design, and 3) applications. IDLab collaborates with many universities and research centres worldwide and jointly develops advanced
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offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. The Artificial Intelligence and Robotics
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and near infrared, mid infrared and advanced machine learning and artificial intelligent modelling to enable accurate monitoring of nitrogen mineralization rate to enable understanding and improving