Développement d’un outil de valorisation des données d’historiques de prescriptions médicales

Les projet se veut une exploration des données historiques. L’objet de la recherche est de valoriser les données de profil des patients, de consultation, de prescription et de facturation. Les données considérées sont volumineuses et complexes, elles évoluent dans le temps, avec des paramètres fixes et d’autres variables. À terme, la valorisation des données disponibles […]

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Methods for detection of emergent gameplay

Games are no fun to play if there is a perfect winning strategy so that a player can always win by playing it. Game designers are aware of this, but it is notoriously difficult to predict when such strategies exist for a given rule set. This project is about studying the effects of changing the […]

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Accompagner ÉtudeSecours dans la réflexion et la construction d’une nouvelle plateforme d’apprentissage en ligne, à l’aide des meilleures pratiques issues de la recherche en soutien à la motivation : une étude ciblant les contenus mathématiques d’élèves de 4e secondaire.

Le projet de recherche vise à identifier les bonnes pratiques issues de la recherche quant à la motivation et l’apprentissage en ligne de notions de mathématiques chez des élèves de 4e secondaire. L’organisme partenaire, ÉtudeSecours est nouvellement accréditée par le MÉES comme étant une école en ligne à part entière pour les élèves de 4e […]

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Truck Safety Survey

Fleetmetrica is a new business startup that offers an innovative and patent-pending technology called SafetyMonitor for monitoring and controlling fleet safety of large commercial vehicles. Fleetmetrica has achieved success with initial fleets, including improved driver habits using their product and are interested in formally quantifying the effectiveness of their technology. Fleetmetrica is also interested in […]

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AI decision support tools for optimizing alfalfa yield and nutritive value

Alfalfa forage is the queen of forages in Canada, both for its nutritional value and for its global distribution across Canada. However, alfalfa yield and nutritive value are affected by multiple environmental and agronomic factors. The interaction among all of those factors makes it difficult for producers and field advisors to determine which of these […]

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Validation et Correction des Données Hydrométriques par Apprentissage Machine

Pour établir ses plans de production, la Direction Planification de la Production compte sur des mesures de qualité. Pour se faire, elle dispose d’une équipe qui s’assure de la validité des données de mesures et qui en effectue la correction, s’il y a lieu, et ce, quotidiennement. D’après les statistiques effectuées sur le travail de […]

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Physiological Data Analysis and Credibility Assessment

The subject of assessing credibility is not new. What we are proposing in this project, on the other hand, is novel. It has been shown in various context that assessing credibility is extremely difficulty. In this project, we take a data-driven approach, relying on fundamental knowledge of neural physiology and data collected by NuraLogix, our […]

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Analyzing the Revenue Stream of Voltfuse

The aim of the proposed project is to analyze the value proposition of a new potential revenue stream for VOLTFUSE. VOLTFUSE is a market segment player with a specialization in headwear and apparel that primarily targets the snowboarding market while selling its products both online and in stores. Specifically, the Company has taken note that […]

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Relation between biometrics and traumatic brain injury risk: developing a data analysis procedure for concussion risk assessment and management

This project will attempt to uncover more insights into the importance of certain biological, situational and environmental factors that contribute to traumatic brain injuries (TBIs), especially in youth sports. By doing this, we hope to work towards better prediction, prevention, diagnosis and treatment of concussions and other TBIs.

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New generation of Diagrammatic Monte Carlo methods

The goal of this project is to combine the respective strengths two novel, complementary approaches to solving the Quantum Many Body Problem, the name given to the problem of the equations of quantum mechanics becoming impossible to solve by conventional methods due to very large numbers of particles being involved, such as in materials. To […]

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Characterizing modulating retroreflectors for laser comms

Laser comms is a branch of wireless communication using a laser beam which directed at a given target, allowing higher speed connections. Specifically, we consider devices called modulators, these are used to encode information into a laser beam, analogously to sending a Morse code message. The modulator allows more of less of the laser beam […]

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Developing forward curve models for power risk management

When a company has excess power generation at its disposal, a natural course of action will be to seek to market that power. However, power markets are notoriously volatile, and this makes the cash flows that result from selling the power unpredictable and hard to plan for. The aim of this project is to help […]

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