A Place to Reflect and For Every Second in Time

A Place to Reflect and For Every Second in Time are a pair of interactive art installations that will make use of projection technology and interactivity. A Place to Reflect will debut at the Nuit Blanche contemporary arts festival in Toronto and For Every Second in Time is slated for Toronto in 2012. Through the […]

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Improving obesity prevention and management in primary care: Patient experience of personalized assessment and care planning and impacts on patient self-management

Over 14 million Canadians live with overweight or obesity. Patients want conversations with their primary care team about weight and create personalized plans to improve their health. Primary care clinicians want to have these conversations too, but don’t know how. This project partners with an interdisciplinary primary care team (ESPCN) and the Canadian Obesity Network […]

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Profiling vendors and products using temporal machine learning

Atlantic Lottery Corporation is owned by four Atlantic provinces. The profits generated by the corporation go back to the provincial general funds for the betterment of the community. A primary goal of the project is to improve the profits of the corporation through suggesting more efficient logistical planning. The corporation’s data mining and knowledge discovery […]

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Data supervision and security in large data repositories

Ensuring data security in large data repositories is a challenging task as the volume and the nature of the data to secure constantly evolves. Large repositories are mostly composed of documents expressed in natural language and as a result they are a rich source of information. Given the importance of personal data protection, this proposal […]

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Novel Cell-surface Engineering Methods to Increase Immune-tolerance of Allogenic Cell Transplantation

Blood transfusion is required for surgery, for the treatment of traumatic accidents and for patients with disorders that require lifelong transfusion therapy. However, when patients receive “mismatched” blood transfusion, their immune system will attack and destroy red blood cells with surface sugars and proteins that differ from their own. This results in massive immune responses […]

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Forêt s’Adapter : Pour le développement d’une sylviculture favorisant l’adaptation des forêts de la Vallée du Haut-St-Laurent aux changements globaux

Au Canada, la forêt privée joue un rôle fondamental dans le fonctionnement des paysages agro-forestiers en procurant d’importants biens et services tant aux propriétaires des boisés qu’à leurs communautés environnantes. Ces forêts devront faire face à des conditions futures incertaines causées par les changements globaux, comme c’est le cas pour les forêts de la Vallée […]

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Microbial modifying properties of iodinated water in animal production

The iodination of water has been identified as a means to improve animal performance, particularly in the poultry industry. Iodine has been used as an antimicrobial agent under several applications, however, it is unclear how water iodination results in improved animal performance. We hypothesize that iodinated water can improve performance either by reducing pathogen load, […]

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Appropriate sensor signal analysis and abstraction in physical activity game design

The intern will be involved in the research of state of the art detection of activity from common devices that scales with the sensor capabilities of these devices (i.e. the most basic being accelerometers moving up towards camera detection of physical activity). The intern will strive to create algorithms preventing false positives from occurring and […]

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Chirps for thought

The global meat demand is expected to roughly double by 2050. While the livestock sector monopolizes a lot of land, food and water, edible insects constitute as an interesting alternative to lower environmental stress. Even though almost a quarter of the world population regularly eat insects, their widespread adoption is impeded by the disgust factor […]

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Applying Deep Learning to Optimize 3D Pose Estimation from Monocular Video

REP is an athlete development platform for building better, and healthier athletes. Inside the REP platform are computer algorithms that can “see” how people move, and the accurately estimate how they are moving in three dimensions. The REP platform can then compare models of how you move, to models of how experts move. This comparison […]

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