Optimization of Savings and Retirement for Canadians

There are numerous financial goals that most Canadians face. Retirement, funding post high school education, managing debt, purchasing appropriate amounts of insurance and saving for lump sum purchases. Each of these goals has various accounts and savings vehicles associated with them. The research projects we are proposing will help Canadians define their own financial situation, […]

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Development of algorithms and methods for information fusion enabled decisionsupport

In every situation humans make observations and analyse the observed information, by combining and evaluating the relationships between the observation to understand the situation. Often these observations can be uncertain, redundant, from unknown sources, contradictory, and too many for a human to be able to analyse fast enough and correctly, leading to incorrect assessment of […]

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Chudnovsky-Ramanujan Type Formulae

In a well-known 1914 paper, Ramanujan gave a number of rapidly converging series for 1/pi which are derived using modular functions of higher level. The Chudnovskys derived an analogous series representation 1/pi, often used in practice for record breaking computations of pi. These formulae have recently been explained in the context of elliptic curves, modular […]

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Gestion combinee de I’allocation des ordres de fabrication aux usines et desroutes de livraison aux clients chez Toiture Mauricienne

Toiture Mauricienne fabrique des fermes de to its qu’elle livre directement a partir de ses usines et entrepOts aux sites de construction de ses clients. Lorsqu’un client appelle, I’ordre de fabricalion (OF) est generalement alloue a I’usine disponible la plus proche du site de livraison. Une fois les cherpentes fabriquees, cheque usine confectionne des routes […]

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Image Segmentation Techniques and its Application in Geosciences

TerraNotes Ltd is a geoscience company based in Edmonton, Alberta. TerraNotes has developed or improved 75 proprietary techniques in geophysical applications. With the current advanced techniques in making use of ground-based and airborne surveys, the exploration industry can now routinely produce complex geophysical mappings. Hence it is of importance to develop advanced image processing techniques […]

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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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