Projects
OptiDiag: Biomedical investigations for optimized diagnosis and monitoring of severe acute malnutrition. Elucidating the heterogenous diagnosis of SAM by current anthropometric criteria and moving beyond Institute of Tropical Medicine
The general objective of the OptiDiag research project is to generate new evidence on pathophysiological process, nutritional needs and risks associated with different types of anthropometric deficits in children under 5, in order to optimize the diagnosis and treatment of SAM.
Specific objectives are:
• To compare nutritional status, metabolism, pathophysiological process and risks in different types of ...
In-situ characterization of substituted N4-macrocyclic metal complex SAM layers on gold with the aim of developing stable electrocatalysts Ghent University
This project focuses on the modification and optimization of gold electrodes with different types of substituted N4 macrocyclic structures with the aim to garantee a covalent bonding. With this work the basis is laid for new and more efficient electrochemical sensors.
Technical assistance for the deployment of an L-band SAR system to perform bistatic and interferometric SAR measurements during the 2015/2016 ESA BELSAR campaign Ghent University
Variation in raw and cooked ham quality of pigs in Flanders: insight into the contribution of genetics and the potential of a minimal invasive measurement technique Research Institute for Agriculture, Fisheries and Food
The aim of this project was to get insight in the meat quality variation of sire and sow lines that currently form the genetic basis of our Flemish fattening pigs. The unique aspect of this project was that the meat quality was determined on both fresh meat and high-quality cooked ham. In addition, it was also investigated whether non-destructive measurement methods could be correlated with ...
From SEM to SAM: extending and evaluating the structural-after-measurement (SAM) approach to structural equation modeling. Ghent University
Structural Equation Modeling (SEM) is a widely used technique in the behavioral and social sciences to study the relationships between latent constructs (such as depression, personality traits, attitudes, ...). In the world of SEM, of model typically consists of two parts: a measurement part (relating the latent variables to observed indicators), and a structural part (relating the latent variables to each other). In practice, the primary ...
Joining forces: Leveraging large metabolite and enzymatic PhD datasets (KU Leuven) in a computational systems biology approach (Oxford University) to increase our insights into the metabolic network of CAM plants KU Leuven
Metabolite dynamics and regulation of photosynthesis in the CAM orchid Phalaenopsis KU Leuven
This PhD project aims to provide more insights on the mechanistic regulation of plant physiological responses to different kinds of abiotic stress. As abiotic stress is considered a major factor in reducing global yields of food and feed production, it constitutes a major topic of concern in Europe and beyond. Therefore, it is essential to expand our knowledge about the possibilities to enhance abiotic stress resilience in plants. Because ...