Modelling Light Transmittance for the Human Heart using Computational Modelling Techniques in the Effort to Apply Optogenetics for Heart Defibrillation.

Optogenetics is a new and rapidly growing field of bioengineering that allows to control physiological functions of genetically modified cells using light. Applying this novel technique in cardiac applications opens the door to the development of the next generation of cardiac devices, such as contactless implantable cardioverter defibrillators (ICDs). A challenge with the potential use […]

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Efficient Emitters for OLEDs using Structural Constraint

Lighting is one of the largest demands on the global electricity supply at nearly 20%, meaning that a small change to more efficient lighting technology can have an outsized impact on our environmental footprint. Current research into efficient lighting technology is focused on third-generation organic light emitting diodes that emit light through thermally activated delayed […]

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Novel fuel cell materials and designs for high performance

Polymer electrolyte membrane fuel cells are a promising solution to addressing climate change, as they can produce emission free energy on demand using hydrogen as fuel. Despite their benefits, many challenges remain in the way of widespread commercialization of these devices. Specifically, components such as the gas diffusion layer (GDL) and catalyst coated membrane (CCM) […]

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Theory Guided Machine Learning Process Modeling of in-situ Automated Fiber Placement

Current manufacturing processes for fiber-reinforced polymer composite materials are slow and rely heavily on manual intervention for quality control. The in-situ manufacturing of thermoplastic composites using Automated Fiber Placement (AFP) eliminates secondary thermal processing, which leads to decreased manufacturing times and cost. However, to reach an industrial implementation, we must improve our understanding of the […]

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Prosocial development across childhood

Prosocial behavior is essential for a functioning society. Although studies show an early onset of prosocial behaviors, there is no comprehensive theory on its development and underlying mechanisms. The visit to Dr Dunfield’s lab, which will be made possible with the help of the GRA, is embedded in a superordinate research project with the goal […]

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Socio-economic inequalities in longevity indicators in Belgium since the 1990s

We will use the recently developed Belgian indices of multiple deprivation (BIMDs) in combination with all-cause and cause-specific mortality data to investigate the SE inequalities in longevity indicators. Our main goal is to compare the levels and trends of life expectancy, median and modal ages at death across geographical areas in Belgium with different deprivation […]

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Feedback mechanisms in Extended Reality Applications

The objective of this research project is to combine different forms of user feedback mechanisms (haptic, olfactory, force, auditory) to better recreate simulated environments and increase the impact of extended reality (XR) training platforms for both users and collaborative robots. As such the research question that is being investigated during the research project is: How […]

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Improving efficiency of federated learning using access network infrastructure

The first aspect of this project aims to address the so-called digital divide, the challenges for broadband access in remote areas. The second is data privacy in artificial intelligence solutions. With the advent of 5G, we can now use fixed wireless access (FWA) to enable broadband access in remote areas. It consists of installing a […]

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The effect of genre on syntactic complexity in English L2 writing

By using second language (L2) written corpus data, this study explores the effect of different genres (i.e., argumentative, expositive, narrative, and descriptive) on syntactic complexity measures. Previous studies have noted that specific genres require unique sets of linguistic features, including measures associated with syntactic complexity. Therefore, the analysis will identify which complexity features are uniquely […]

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Reinforcement Learning Based Constrained Control Applications

The main issue of the proposal hinges on the application of Data driven approaches for Model Predictive Control (MPC) applications. MPC is an optimization based control methodology well known in literature which is extremely popular when considering constrained control problems. The main drawback of MPC is the need of an accurate model plant to solve […]

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Optimization of DC-DC converters for DC microgrid interfaces

Distributed Energy Resources are key elements in de-centralized power systems. By deploying them close to the consumer nodes, one can address the increases in power demand while bypassing investment in transmission and distribution systems. The proposed research work concerns the optimization of DC-DC interfaces for DC microgrids. It will consider different types of semiconductors (Si, […]

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