La fatigue des matériaux est un phénomène d’endommagement. Ce dernier a donc un impact négatif sur les équipements qui sont sollicités de telle sorte dont les turbines hydrauliques servant à produire l’hydro-électricité. Il devient donc nécessaire d’enrichir les connaissances dans ce domaine pour diminuer l’importance de cette dégradation sur des composants aussi critiques que les […]

The medical marijuana industry has attracted significant attention recently due to its impending legalization in Canada in the coming year. Along with legalization comes the need for accurate and dependable characterization of the components in the product that is to be consumed by the end user. Keystone Labs is a certified cannabis analysis lab with […]

The main objective of this project is to demonstrate the highly promising performance of our world-leading catalysts in a scaled-up solid oxide electrolysis cell (SOEC) system. SOECs can efficiently convert the greenhouse gas, CO2, or mixtures of CO2 and H2O, to useful chemicals and fuels, while running on excess electricity, thus serving to store intermittent […]

The main objective of this project is to demonstrate the highly promising performance of our world-leading catalysts in a scaled-up solid oxide electrolysis cell (SOEC) system. SOECs can efficiently convert the greenhouse gas, CO2, or mixtures of CO2 and H2O, to useful chemicals and fuels, while running on excess electricity, thus serving to store intermittent […]

The procurement process of an organization is key to understand company costs. Organizations gather large amounts of data coming from different sources (e.g. income statement, balance sheet, general ledger lines). This information is heterogeneous in nature as it is a mix of unstructured and structured data. Moreover, it needs to be cleaned and consolidated in […]

History matching refers to calibrating numerical or analytical models by the observed data. However, this task can be very challenging in presence of complex geology and/or many unknown data . The purpose of this project is to introduce and apply the new techniques for efficient creation of predictive history-matched models for reservoir characterization of conventional […]

History matching refers to calibrating numerical or analytical models by the observed data. However, this task can be very challenging in presence of complex geology and/or many unknown data . The purpose of this project is to introduce and apply the new techniques for efficient creation of predictive history-matched models for reservoir characterization of conventional […]

Glioblastoma multiforme (GBM) is the deadliest form of human brain tumors, systematically recurring despite multimodal treatment. As a consequence, the average patient survival is less than 15 months, and is thought to be linked with the presence of brain tumor stem cells (BTSCs) that are implicated in treatment resistance. GBM BTSCs are radiotherapy and chemotherapy […]

La crevette nordique est une des plus importantes espèces exploitées à l’est du Canada, moteur d’approvisionnement et de développement pour de nombreuses communautés côtières. Depuis quelques années, les stocks de crevette nordique semblent en déclin. Le réchauffement, l’acidification et la désoxygénation des océans pourraient venir d’autant plus affecter la viabilité et la rentabilité de cette […]

With increasing security risks in critical network infrastructures and emerging cloud technologies with shared capabilities, as well as increasing regulatory requirements on privacy, and data protection, there is a growing need for new approaches to manage security and privacy compliance. The main related challenges are (a) context-aware and fine-grained security enabling efficient real-time enforcement of […]

This research aims to identify the challenges and opportunities that exist within and amongst First Nations communities for creating culturally appropriate and resilient housing models and local economies. It will build understanding around what is required to transform the current housing system from one that uses external labour, resources and businesses to one that promotes […]

Le but de ce projet est de mettre en place un modèle de machine learning afin de détecter les pannes sur les actifs informatiques avant que celles-ci ne se présentent. La maintenance prédictive permet de monitorer l’état de santé des actifs informatiques et de prendre des décisions appropriées lorsque ceux-ci se dégradent. En effet une […]