Ce projet de recherche a comme objectifs de formuler et de fabriquer des matériaux bitumineux pour la réparation des chaussées asphaltées qui ont une empreinte environnementale la plus faible possible. Pour ce faire, les stagiaires étudieront la possibilité d’ajouter des bardeaux d’asphalte recyclés de même que des enrobés bitumineux recyclés aux produits qui serviront au […]

The overall goal of this internship is to understand why candidate psychologists in Saskatchewan are failing the final competency exam at a rate of 30%. Partnering with the Saskatchewan College of Psychologists (SKCP), this research will review the records of the failed examinations to determine the contributing reasons for candidate failures. We have three objectives: […]

The project will consist of 2 primary goals: to apply the Six Sigma methodology in creating a effective onboarding/integration process for new clients and to utilize the 3Rs (Retention, Related sales, and Referrals) framework as a guide to optimize Glo3D’s customer success strategy. These two goals will practically strengthen our brand image, create a stronger […]

Road safety affects everyone, not just Geotab customers. With several years of driving and environmental data from over 2 million connected vehicles we have an opportunity to make our customers safer, as well as our communities and cities. To reduce accidents, we need to understand both the driving behavioural patterns that are predictive of accidents, […]

Les rejets des industries de transformation laitiere sont caracterises par leur charge polluante elevee due a leur richesse en lactose et en mineraux. L’expansion des activites industrielles se heurte a des exigences environnementales de plus en plus strictes en termes de normes de rejet. Les solutions presentement adoptees par les transformateurs laitiers sont peu ou […]

One of the major problems listed by many energy companies is flow assurance which involves significant efforts and costs to prevent hydrate blockages in the oil and gas facilities. Gas hydrate forms so rapidly and without warning in the offshore pipelines relative to waxes, scales, or asphaltenes. Although the hydrate plug formation rate is fast, […]

The project will utilize the 4 Ps (product, price, place, promotion) framework as a guide to building an effective global marketing strategy that strengthens Glo3D’s brand and broadens our reach as we enter new verticals. The candidate will be tasked to better understand how to grow our user base and which marketing channels are effective […]

The proposed research project will be to provide an understanding and overview of Inuit women’s concerns, feelings, and thoughts regarding how their day to day lives are changing due to climate change and increased development in Nunavut. The partner organization (Sapujiyiit Society) will have the role of guiding the HQP through formulation of the research […]

Fraudsters and money launderers have no place in today’s digital economy. To protect against fraud and financial crime, businesses online need to know and trust that their customers are who they claim to be – and that these customers continue to be trustworthy. Jumio uses the power of AI, biometrics, machine learning and certified liveness […]

Road safety affects everyone, not just Geotab customers. With several years of driving and environmental data from over 2 million connected vehicles we have an opportunity to make our customers safer, as well as our communities and cities. To reduce accidents, we need to understand both the driving behavioural patterns that are predictive of accidents, […]

The detection of specific carbohydrates is critical for several processes including biofuel production, textile finishing, food production and human health. These carbohydrates play roles in human health including stem cell differentiation, genetic diseases, and viral infection (i.e., COVID-19). Presently, the largest barrier to understanding the role carbohydrates play in human health is the lack of […]

Deep neural networks (DNNs) have achieved great success in many visual recognition tasks. However, existing state of the art deep neural network models are computationally expensive and memory intensive, hindering their deployment in devices with low memory resources or in applications with strict latency requirements. Therefore, a natural thought is to perform model compression and […]