Analysis of a centrifugal fan designed for a Thrust Cushion Vehicle

The fan assembly is a critical component of a Thrust Cushion Vehicle (TCV) designed by Slipstream Vehicles Ltd. It provides both the lift and thrust for the TCV. However, given the novelty of the patented fan, there is insufficient data to predict the fan performance. This project will focus on development of a new set […]

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Marketing Intern

I will be doing a marketing internship at Riahi Patents, Inc. This is a company that works on helping businesses with research understanding the validity, scope and legality of their intellectual property. I will be working to help develop the company’s marketing strategy, to uncover the best customer acquisition strategies, and help the company increase […]

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Post-harvesting biodiversity recovery curves for the boreal forest

Canada’s boreal forests are dynamic landscapes whose forest structure and biodiversity are altered by both natural and anthropogenic disturbance. Timber harvest is one of the dominant anthropogenic disturbances in these forests. We need to better understand how the biodiversity within these forests recovers after harvest. In this study we develop biodiversity recovery curves for harvested […]

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The effects of a nature-based mindfulness-compassion intervention for older adults delivered using virtual reality

Mental health problems in older adults (>65 years old) are becoming increasingly prevalent in Canada, with high rates of depression, anxiety, and social isolation found in long-term care facility residents. These psychological challenges are being exacerbated by the COVID-19 pandemic. There is thus a need for effective and innovative health strategies to help support older […]

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Developing advanced techniques for denoising Low-dose CT Images

Computed Tomography (CT) is one of the most widespread non-invasive imaging modalities in medical diagnostics. Recent concerns regarding radiation induced cancer, has drawn a lot of attention to reduce the radiation dose used during CT scanning. However, the signal to noise ratio of scans taken at lower radiation dose is considerably lower than at higher […]

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AI Enabled Subnetwork Selection

Cancers are heterogeneous disease that hijack many of the body’s normal biological processes. Additionally, tens of thousands of genes are involved in each person’s normal biology, while only a fraction of those are repurposed by cancers to drive disease. At an individual level, utilizing entire transcriptomes is rare, as there is too much information for […]

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Thales : Expliquer l’impact des graphes de connaissances dans les systèmes VQA

La réponse visuelle aux questions (Visual Question Answering VQA [1]) a été introduite pour combler le fossé entre le traitement du langage naturel et les applications de compréhension des images dans l’espace commun de la vision et du langage. La plupart des benchmarks VQA calculent une représentation de la question en utilisant des techniques d’intégration […]

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Speeding up Federated Learning Convergence using Transfer Learning

The recent advances in machine learning based on deep neural networks, coupled with the availability of phenomenal storage capacity, are transforming the industrial landscape. However, these novel machine learning approaches are known to be data hungry, as they need to tune a huge number of parameters in order to perform well. As more and more […]

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Umaneo : Identifier les requis d’un appel d’offres

L’objectif de ce stage est de développer une méthode et un prototype pour le repérage automatique des requis dans des appels d’offre par apprentissage automatique avec un réseau de neurones. Les données proviendront d’une banque d’appels d’offres du gouvernement fédéral. Dans un premier temps, le travail sera réalisé avec des appels d’offres en anglais, mais […]

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Research Project Coordinator

In the next few months, we seek to build our projects that have been put on the back-burner‚ and ensure that they move forth to offset some reduction in client work. These projects will set us up for improved business structures and success in 2021. • Identify needs within Lux team members on how research […]

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Development of an isobar separator for anions for accelerator mass spectrometry

Accelerator Mass Spectrometry is a highly sensitive technique for measuring the concentration of certain long-lived isotopes, such as carbon-14. Recently, the use of an ion-gas reaction cell before the accelerator has been shown to enhance this sensitivity, particularly for smaller accelerators, and to extend the application of this technique to more isotopes. Isobarex Corporation has […]

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