Replanification dynamique des traitements de radiothérapie

La compagnie Elekta est spécialisée dans le développement d’équipements et de logiciels dédiées aux traitements en radiothérapie pour les centres de traitement de cancer comme celui à Laval (Centre Intégré de Cancérologie de Laval). Les traitements sont administrés par des équipements appelés accélérateurs linéaires qui projettent pendant une durée définie des rayons sur la région […]

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Efficient Computational tools for Magnetic Reconstruction and Image Decomposition

TerraNotes Ltd is a geoscience company based in Edmonton, Alberta. TerraNotes has developed or improved 75 proprietary geophysical techniques to extract important information from geophysical datasets. With the current advanced techniques in making use of airborne surveys, the exploration industry can rapidly and effectively obtain magnetic data which cover very large regions and remote areas. […]

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Diluted mean field spin glass models

I want to master the modern mathematical theory of the Sherrington-Kirkpatrick and related spin glass models. The field spin glass models originate in theoretical statistical physics. After learning current results, I plan to start working on some open problems, such as in the setting of the diluted Sherrington-Kirkpatrick model, which is not completely understood today. […]

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A comparative study of high school mathematics curriculum and pedagogies in Canada and China: A case study of mathematics in the south-west region

During my research, I want to evaluate the Chinese high school mathematics system. Looking at the mathematics curriculum in China and comparing it to Canada. Doing this will help my research connect the two curriculum to see what works and what is different. While doing this assessment, I want to also look at the teaching […]

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Hyper-parameter Optimization of Deep Neural Networks

Deep neural networks are a valuable machine learning method that is at the heart of many technological innovations. From self-driving cars to automatic translations and image recognition, etc. it seems that deep neural networks are a great tool that can adapt to different problematics. However, defining the right network for the right application is a […]

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Modélisation de la probabilité d’un cyberincident pour une organisation et construction d’une cote de cybersécurité

En 2018, les entreprises doivent se protéger contre un risque opérationnel critique : le cyberrisque. L’objectif de ce projet de recherche est de développer une cote de cybersécurité, qui donne une mesure du niveau de cyberrisque global d’une entreprise en fonction de ses caractéristiques et de son programme de gestion des systèmes informatiques. La cote […]

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Building a framework to use banking data for learning, warning, and prevention

This project, in partnership with ATB Financial, will focus on the application and development of machine learning techniques in banking. We will delve into early prediction of customer events, such as encountering financial difficulties, that could indicate other issues and present opportune moments for ATB Financial to help customers get back on track. We will […]

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A weighted graph approach to IP geolocation

When you load a page on the internet, or watch a video, or send an email, packets of information travel along a path from your computer to the destination. Where does this path go? If both you and your destination are located in the same country, does the path respect international boundaries? We propose a […]

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Évaluation du système d’automatisation MOBILE dans un centre de décontamination et de préparation des instruments chirurgicaux

L’objectif de cette étude est d’évaluer l’impact du fonctionnement d’un prototype du système d’automatisation MOBILE dans un environnement représentatif à l’aide d’un modèle de simulation à évènements discrets. Ce système a pour objectif de permettre : i) une automatisation des chargements et des déchargements des laveurs; ii) une sélection automatique des laveurs et de leurs […]

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Axiomatic approach to classical field theory

The project is centered around the need for procedures in classical relativistic field theories. The idea is to determine the minimal amount of rules (postulates) such that a classical field theory can be uniquely determined. More specifically, determining a set of rules such that a unique set of models will follow from Noether’s theorem. The […]

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Portfolio Optimization and Risk Analysis

In recent years, the use of Mathematics and Statistics in Finance has become increasingly important, with the arrival of new software and investment methods. The notion of market efficiency, particularly the assumption that assets are always correctly priced, suffers from market anomalies which lead to potential arbitrage strategies in the short run. Therefore, this project […]

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