Projects
Analysis tools for biomedical and environmental applications: development and application of a multi-modal synchrotron based chemical imaging platform Ghent University
The goal of this research project is the development of novel analytical methods for nano-analysis of biomedical and environmental samples using synchrotron radiation (SR) based X-ray imaging methodologies. The envisaged applications comprise optimization of peritoneal carcinomatosis treatment (Prof dr W. Ceelen) and assessing the influence of deep-sea mining on the marine eco-system (Prof dr A. Van Reusel). X-ray based methodologies such as ...
Development and Application of Machine Learning and Statistical Methods for Chemical Drug Discovery KU Leuven
viability of new drug ligands. With the aide of Declarative Languages and
Artificial Intelligence (DTAI) and the Center for Drug Discovery Design (CD3). I will primarily apply statistical models and methods, such as Partial Least Squares, Principal Component Analysis and optimization methods like Support Vector Machines. The innovative methods I will derive and use ...
Different lens, new insights? Benefit receipt data as an alternative means to study the extent, development and effects of public welfare provision in Europe KU Leuven
Since the emergence of modern welfare states, scientists as well as politicians and public opinion makers showed great interest in how welfare states differ across countries, how they change, what drives their variation and change, and what social outcomes they produce. This has contributed to a considerable amount of literature in comparative welfare state research, including the discussion of the so-called ‘dependent variable problem’. ...
Design and Validation of Low-complexity Methods for Resolving Spike Overlap in Neuronal Spike Sorting KU Leuven
Despite many neuroscientific breakthroughs, it remains largely unknown how brain activity supports cognition. Obtaining such a fundamental understanding of the brain has the potential to foster new clinical applications aimed at improving functional deficits resulting from a 'malfunctioning' brain. The identification of causal relationships between brain activity and cognition depends on the real-time characterization of neural activity. By ...
Development and validation of antibody and MIP-laden porous substructures for multi-mycotoxin analysis Ghent University
Mycotoxins are contaminants produced by various fungal species and can be present in diverse food and feed matrices. These secondary metabolites can induce several toxic effects in both humans and animals upon contamination, although they are often present in low ppbppt concentrations. The mycotoxin issue is a worldwide concern which resulted already in several national and European guidelines, directives and regulations regarding maximum ...
Design and development of a multimodal synchrotron based methodology for 3D nano-analysis for biomedical and environmental applications Ghent University
The goal of this research project is the development of novel analytical methods for nano-analysis
of biomedical and environmental samples using synchrotron radiation (SR) based X-ray imaging
methodologies. The envisaged applications comprise optimization of ovarian cancer treatment
(Prof dr W. Ceelen) and assessing the influence of deep-sea mining on the marine eco-system (Prof
dr A. Van Reusel).
X-ray based ...
Development of a methodology for predicting the acousticperformance of built-up wall and floor systems at high frequencies KU Leuven
Lightweight systems such as cross-laminated timber elements, sandwich panels, gypsum board walls,... are emerging in building construction. Because of their relatively low weight and complex vibro-acoustic behaviour, achieving a sufficient level of sound insulation with such systems is however challenging. The aim of this research is to develop a sound transmission loss prediction method, which exhibits similar accuracy as a comparable ...
Experimental and theoretical development of FO-SPR sensors for monitoring the formation of MOF recognition layers to sense VOCs KU Leuven
Volatile organic compounds (VOCs) are chemicals found in various settings, including domestic, and industrial environments, originating from natural and human-made sources. Due to their potential harm to health and the environment, detecting and monitoring VOCs is crucial. While gas chromatography with mass spectrometry is the preferred method, it is expensive and unsuitable for real-time on-site measurements. To address this issue, this ...
Development of magnetic domain wall based logic and memory concepts Ghent University
A ferromagnetic material consists of several uniformly magnetised regions, which are called magnetic domains and are separated by magnetic domain walls (DWs). The magnetisation inside these magnetic domains has a fixed orientation, which makes ferromagnetism attractive for data storage applications. Indeed, this orientation of the magnetisation can be used to store data and the stored data can be retained without the need for an ...