The aim of this project consists in developing a resilient control architecture for LFC problems in networked multi-area power systems able to match the power generation to the load demand and deal with the occurrence of anomalies along the network medium due to the actions of external intruders. Accordingly, the proposal will move along two […]

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, […]

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 […]

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 […]

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 […]

The purpose of the project is to manufacture low- and high- density polyethylene from CO2. These products are the result of an energy-intensive process, steam cracking. This process is known for its high CO2 emissions, and this is something that the whole world is trying to reduce, because of its global warming impacts. Therefore, CO2 […]

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 […]