The project attempts to document two visual traditions- Ahoi Asthami and Dev Uthan Ekadashi conducted by and for Haryanvi Indo-Canadian women which happens only once a year, is fast changing due to rapid modernization by offering an ethnographic study and subsequent translation in Canada. An extensive literature review revealed an almost complete lack of theoretical, […]

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 […]

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 […]

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) […]

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 […]

Brain fingerprinting is an emerging technique that has significant potential in leveraging individual differences for the improved prediction of behaviour (e.g. memory) and clinical (e.g. neuropsychiatric) outcomes. There is evidence suggesting that certain phenotypes of sleep might be markedly trait-like, however the uniqueness of sleep architecture and microarchitecture underlying the neurophysiological activity during the sleep […]

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 […]

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 […]

Topological features can arise when you combine materials or lattices of different configurations at the interface. Individual elements of the lattice can be engineered to select modes which do not propagate into the rest of the system (by splitting them), and the rest would be able to, using Floquet optical ring resonators. We propose to […]

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 […]

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 […]

The primary objective of this project is to automatically extract accurate footprint maps of buildings from remotely sensed data such a satellite/aerial images. In recent times, deep learning approaches have shown significant progress and success in processing remote-sensing image data. Most prevailing techniques used for this task often involve using pixel-level classification deep learning techniques […]