Projects
A whole-body physiologically based pharmacokinetic model for personalized 161Tb-PRRT KU Leuven
Peptide receptor radionuclide therapy (PRRT) has been proven to be a safe and effective treatment of somatostatin receptor expressing neuroendocrine tumours (NETs). So far, standard activities are usually injected, although it has been shown that the variable tumour burden between patients can have a high impact on the biologically effective doses (BEDs) to normal tissues and tumour tissue with large tumour loads leading to a considerably ...
Interoperable electron Microscopy Platform for advanced RESearch and Services (IMPRESS). University of Antwerp
Population-based damage detection for civil engineering structures KU Leuven
Damage-sensitive features used in vibration-based structural health monitoring (SHM), such as strains or natural frequencies, are often influenced by operational and environmental conditions, for example temperature. This complicates damage detection. Although several techniques have been proposed in the literature to differentiate between damage and operational and environmental conditions, this remains a challenge. This proposal ...
Model based virtual acoustic sensing for augmented system monitoring of flexible multibody systems KU Leuven
The sustainable development and maintenance of vehicles and machines plays an increasingly important role. This involves the challenging task of monitoring and balancing the often conflicting criteria related to human health, profitability and environment. The knowledge of the forces, torques and stresses in components is of great importance to make sure that machines and vehicles stay within safety limits and retain their reliability over ...
Passive Radar Based on Wi-Fi Signals for Crowd Monitoring: From Multi-Target Tracking to Large-Scale Crowd Analysis KU Leuven
This thesis aims at performing crowd monitoring by exploiting signals of opportunity from existing Wi-Fi access points to build a passive radar. Radar processing will be applied on signals that bounced on people (targets) in an environment to obtain a so-called range-Doppler map (RDM) containing the distance and speed information of the targets, as well as an angle spectrum (from MUSIC method) containing the angle-of-arrival of the signals ...
MoCCHa-CT: Model-coupled 4D-uCT for advanced material characterisation Ghent University
High-resolution X-ray Computed tomography (X-ray uCT) is becoming a key imaging technique. It allows for highly detailed and full 3D structural characterization of objects and materials. As such, it is an invaluable tool in present-day material research, product development and quality assessment.
However, the conversion of uCT data to analytical or finite element models that allow for the simulation of dynamic processes is ...
Development of a generic screening platform for metabolic engineering applied to the selection of an optimal sialic acid producer Ghent University
Spurred by environmental motives and the limited supply of fossil fuels, chemical industry increasingly relies on microbial engineering to create economically feasible production processes from renewable sources. Several successful metabolic engineering efforts were driven by enabling technologies from synthetic biology, which allow the development of new microbial cell factories for the production of a molecule of interest. One such ...
Heterostereocomplexation: a new design principle for the optimization of poly(lactic acid) structural materials. KU Leuven
Petroleum-based plastics possess a high durability and usually are low-cost materials. However, reducing our carbon footprint is becoming more important every day, so these plastics probably have to be replaced by a more sustainable alternative such as polymers based on renewable bio-resources. At present, different biobased plastics (or biobased polymers) are slowly finding their way towards the commodity plastic market. The biodegradability ...
Leveraging hyperspectral quality inspection in the agrofood sector with AI KU Leuven
Hyperspectral imaging allows capturing the continuous spectrum of light at each pixel in the visible and near-infrared bands. It provides more optical information than common RGB images and the human eye. As a result, it has found success in industrial applications in waste and food sorting quality control. Recent deep learning-based image processing algorithms outperform classical computer vision techniques in these kind of tasks. However, ...