Projects
SymBioSys: Computationally mapping genomic heterogeneity from long read sequencing data KU Leuven
A physics-based computationally efficient multi-scale model for prediction of damage mechanisms in composite laminates under multi-axial fatigue loads considering the effects of thermal residual stresses and manufacturing defects Ghent University
Multidirectional laminates made of unidirectional Fiber-Reinforced Plastic (FRP) composite materials have been widely used in primary fatigue load bearing structures of different industrial sectors. To reduce the time-to-market for new products and the costs associated with experimental testing, developing modeling tools with acceptable run time for prediction of fatigue behavior of FRP laminates is a crucial technological demand. Developing ...
Computationally Guided Carbon Nanotube Composites for Space Applications KU Leuven
SymBioSys: Computationally disentangling cellular heterogeneity KU Leuven
Investigation of Computationally Efficient Methodologies for Spatially Distributed Hydrological Modelling KU Leuven
Methodologies for computationally efficient, spatially-distributed hydrological models have been investigated. Emphasis was given on integrating important hydrological processes and their interactions. The results were evaluated against measurements of different hydrological variables at multiple locations. The models aim to be applicable for studying the hydrological impacts of phenomena such as droughts and floods and evaluating water ...
Computationally Efficient mm-wave Scattering Models KU Leuven
The use of millimeter-wave (mm-wave) frequency bands for fifth-generation (5G) and beyond cellular mobile communications has led to intense interest from academia and industry over these spectrum resources. This underutilized frequency band opens a considerable number of challenges in terms of propagation effects, antenna systems, circuit design, etc. In terms of propagation, the provision of reliable and accurate mm-wave channel models is ...
The Pizza proteins as computationally designed building blocks for biochemical nanostructures. KU Leuven
Recently we have computationally designed self-assembling symmetrical protein building blocks named Pizza. Biophysical characterization has shown that the proteins are very tolerant to truncation, permutation and introduction of multiple mutations. In this project we will combine computational protein design with experimental biochemistry to further develop the Pizza proteins as building blocks for bionanotechnology. Recent preliminary ...
Computationally designed symmetric protein building blocks for synthetic biochemistry KU Leuven
This projects aims at using computational methods to design novel symmetric proteins. While these proteins are interesting for investigating protein evolution and folding or improve protein design methods, the goal is to use them as building blocks to create innovative protein complexes with novel functionality. The work will be divided in several work packages each focusing on a unique application. First of all we will focus on the creation ...
Computationally designed symmetric protein building blocks for synthetic biochemistry KU Leuven
This projects aims at using computational methods to design novel symmetric proteins. While these proteins are interesting for investigating protein evolution and folding or improve protein design methods, the goal is to use them as building blocks to create innovative protein complexes with novel functionality. The work will be divided in several work packages each focusing on a unique application. First of all we will focus on the creation ...