Projects

The IOF program CADcracker aims to facilitate the interaction and collaboration between researchers and stakeholders in the agrofood chain on innovative computational solutions to understand, design, optimize and control processes and products in the agrofood chain. Computer aided design and engineering (CADE) tools, from numerical simulation to artificial intelligence, are developed and applied for optimizing existing and novel agrofood ...

The confocal fluorescence microscope Leica TCS SP2 Laser Scanning Spectral Confocal System, localized in the Laboratory of Virology, Faculty of Veterinary Medicine is a device that is daily used by different users of the Faculties of Veterinary Medicine and Medicine and Health Sciences for the research on different biological processes (pathogenesis, immunopathology, embryology, …). It is ...

In this project we want to explore how automated data mining and text mining techniques can be developed to provide researchers with automatically generated summaries to enable them to gather as much information as possible about a specific biological process or a group of genes. This project aims to use the richness of current data sources more efficiently.

Experiments will elucidate whether thoroughly characterized composts, differentiated based on their nematode communities, have different effects on soil properties and nematode assemblages. An ecometagenetics approach will distinguish between compost- and native assemblages and reveal if the nematodes in compost directly contribute to the nematode community in the soil vs. that observed effects are due to the overall stimulation of the soil ...

Advances in sensor and computing technology are continuously making the acquisition and storage of data more efficient. Statistical modelling and analysis can be used to extract useful insights from data, but are often accompanied with several challenges. In this project, we will develop statistical methods that are generic applicable to study and monitor biological & industrial processes .

Even though spatially explicit models have become more widely appreciated, there is still no framework that allows for their systematic analysis, calibration and validation. Hence, the main objective of this project is to establish such a framework starting from the first steps already taken in this direction and involving equation-free methods, approximate Bayesian computation and dynamical system measures.

Understanding the source bio-mechanisms of Fe isotopic fractionation in the human body is crucial knowledge for developing diagnostic tools of one's Fe status. Now, quantification of serum ferritin levels is relied on, but results may be often misleading as they can be affected by inflammation, infection and liver disorders. Isotopic analysis of blood/serum Fe is gaining potential as a robust and reliable indicator of the Fe status. However, ...