Projects
MLMC-PinT4Data: Parallel-in-time micro-macro Monte Carlo methods for uncertainty quantification and data assimilation KU Leuven
With the exponential increase of computational power, numerical simulation has become a routine tool in many scientific domains. However, the shift towards massive parallelism poses numerous challenges for algorithm design: parallelization must be considered from the outset of algorithm design. Recent successes have established the potential of parallel-in-time (PinT) integration as a powerful algorithmic paradigm, in addition to other forms ...
Exploring the father’s role in succesful pregnancy and signatures of epigenetic inheritance from sperm to offspring: an approach through biostatistics and computational modeling methods. KU Leuven
The effects of a mother's environment during pregnancy on her children's health have been studied extensively. However, recent findings suggest that a father’s environment and his age before conception matters as well. This runs counter to standard thinking about heredity that parents pass down only genes to their children. An equally plausible way to leave a mark on offspring is through epigenetic inheritance. This refers to molecular ...
Development and validation of affordable analytical methods to assess the quality of antimicrobial and antihypertensive medicines KU Leuven
The quality of drugs is an important aspect in the framework of public health. However, developing countries like Ethiopia face regularly fraudulent practices and together with a lack of resources and well trained analysts, good quality drugs can not be guaranteed. Consequently, more control is necessary. This requires the availability of (relatively) affordable analytical methods. Since these are not always available, this project will ...
Development and validation of affordable analytical methods to assess the quality of antimicrobial and antihypertensive medicines KU Leuven
The quality of medicines is an important aspect in the context of public health. However, developing countries such as Ethiopia regularly struggle with fraudulent practices, as well as a lack of resources and well-trained analysts, so that good quality cannot always be guaranteed. There is therefore a need for more control. This requires the availability of (relatively) affordable analytical methods. Since these are not always available, this ...
Unlocking the power of automatically recorded task execution data to support nurses as they generate work organisation improvement ideas: novel methods and insights Hasselt University
Global methods for nonlinear eigenvalue problems with eigenvector nonlinearities KU Leuven
Nonlinear eigenvalue problems with eigenvector nonlinearities are algebraic eigenvalue problems whose matrix depends on the eigenvector. Applications range from electron structure computations to machine learning.
This class of eigenvalue problems is challenging as they are inherently nonlinear while the concept of linearization, in the sense of an equivalent, possibly infinite-dimensional linear representation, is not clear. As a ...
RETHINKING MICROALGAE BIOREFINERY PROCESSES Combining low-cost harvesting (flocculation) with green extraction methods (NADES) to turn contamination into opportunity (metal-doped biochar and activated carbon) Hasselt University
Advanced Computational Methods for Real-time Analysis of Time Dependent Nanomaterials. University of Antwerp
Product analysis and development of purification methods of proteins using semi-preparative HPLC Ghent University
The increased use of (recombinant) proteins in food/feed and in pharmaceuticals requires an in-depth analysis of the end product. Protein product analysis requires a range of methods including chromatography and mass spectrometry. This project aims to develop alternative chromatographic methods for protein analytics and for the specifical removal of contaminants resulting from fermentation processes, for example by implementing ionic ...