Projects
3D deformable motion reconstruction from fluoroscopy images based on articulating statistical shape and intensity models. University of Antwerp
D Thermal imaging of people using statistical shape models. University of Antwerp
Statistical foot modeling for a digital orthotics workflow (FOOTWORK). University of Antwerp
CADANS: A CAD platform for 3D Statistical anthropometric Design. University of Antwerp
Robust statistical inference for the chain-ladder method KU Leuven
Stochastic claims reserving in non-life insurance is a major actuarial issue and there is a growing awareness that modern statistical techniques should be used when calculating the overall outstanding claims reserve (i.e. the money that a company should set aside). A very broad literature is available concerning deterministic and stochastic models for forecasting future claims. To model the uncertainty of these claims reserves estimates, the ...
Statistical and computational approaches to enable real-time phylodynamic inference KU Leuven
The current wealth of sequence data for most important infectious diseases is stretching current computational approaches, such as phylodynamic inference, to their practical limits. This project aims to develop statistical and computational approaches to extract timely epidemiological and evolutionary information from virus genome sequences during an ongoing epidemic. Reconstructing pathogen spread from genetic data as they become available ...
Statistical mechanics of inhomogeneous complex fluids and particle transport models KU Leuven
Statistical mechanics is applied to three systems; Colloid-polymer mixture near a hard wall, irreversible aggregation models, and transport phenomena in engines.
Density Functional theory is used to describe a demixed colloid-polymer mixture at three-phase coexistence. The excess surface free energy for imposed wetting layers are computed and the line tension and the shape of the transition zone are computed via an interface ...
Statistical methods for intensive longitudinal dyadic data KU Leuven
The use of intensive longitudinal approaches to investigate dynamic processes that shape and characterize dyadic relationships (e.g., romantic relationships, child–parent relationships) has become increasingly popular in recent years. Intensive longitudinal dyadic data are often collected by asking both partners of a dyad to report on their experiences multiple times a day for an extended period of time, or alternatively, by repeatedly ...