Shot peening is a cold working process widely used to improve the fatigue life of metal components in the aerospace industry and to produce thin components with complex shapes such as wing skins. This process is accomplished by bombarding the surface of a metallic component with shots at a high velocity that induce a layer […]

The goal of this project is to create new algorithms and state-of-the-art methods for resource allocation in a financial context. This model can be applied to other domains, such as fleet and personnel management, scheduling of computer programs, manufacturing production control or controlling a mobile telecommunication network. Alpine Macro provides market insights, investment strategy and […]

In early 2020, cannabis edibles will be introduced into the Canadian markets. Although these products will offer a safer alternative to smoking or vaping cannabis, they can still pose certain health risks to consumers and must be controlled for dosage and stability over the product’s entire shelf life. This research project centers on developing a […]

The project will help Optina validate and further develope a novel technology to predict the presence of significant amyloid (A?) deposition in the brain from a simple, non-invasive hyperspectral retina scan in combination with an artificial intelligence algorithm. Accumulation of A? plaques in the brain is a key hallmark of Alzheimer’s disease (AD), but current […]

The goal of this project is to develop new machine learning methods and computational strategies to mega-analyze data from well-characterized datasets on chronic pain conditions to develop a genetic predictive tool. This tool will be implemented in an online interactive dashboard and used by the Quebec Pain Research Network (QPRN) community. This collaboration with Plotly […]

Plants including Cannabis host distinct beneficial microbial communities on and inside their tissues designated the plant microbiota from the moment that they are planted into the soil as seed. Understanding the microbial partnerships with Cannabis has the potential to affect agricultural practices by improving plant fitness and production yield of Cannabinoids. Much less is known […]

Tetracycline antibiotics (TCs) have received significant interest due to broad-spectrum antibiotics. TCs are detected worldwide in surface water, ground waters, and even drinking water sources because of excreting through urine and feces. The presence of TCs represents a threat to humans and ecosystems by developing drug-resistant bacteria and the toxicity of the antibiotics Thus, it […]

Recently, machine learning has been used in every possible field to leverage its amazing power. In this project we employ and advance machine learning algorithms for analysis of networks log data due to extraction of informative features. These data, which are recorded every millisecond, are usually high dimensional and imbalanced where no class label is […]

Edge computing is expected to play a transformative role for future AI applications in 5G networks by bringing cloud-style resource provisioning closer to the devices that have the data. Instead of running resource-intensive AI applications at the end devices, we can consolidate their execution at the edge, which brings many benefits, such as eliminating the […]

The evaluation of mining projects depends on modern computational techniques. There is a demand for increasingly sophisticated techniques, due to environmental considerations and the drive toward increasingly complex ores. Without these techniques, projects may be wrongfully held back or abandoned, leading to severe socioeconomic consequences in the surrounding communities. Conversely, mining projects may be wrongfully […]

In order to provide more reliable electricity, facilitate clean enery integration and supply energy to remote communitites, part of the power grid may be required to operate autonomously. Microgrids which can be islanded from teh main grid, are deployed for this purpose. However, the compositions and objectives of microgrids vary in different applications and operating […]

Oil that has passed through the bearings and gearboxes of aircraft engines is recycled by a specialized oil scavenging system that separates droplets dispersed from the shaft from air and particulate matter. This process helps to mitigate the emissions of aircraft engines, greatly improves oil consumption and Improves working life by improving the cooling capabilities […]