One of the main responsibilities of the Bank of Canada (BoC) is to ensure that sufficient inventories of each currency denomination are maintained nationwide. To achieve this, the BoC operates 39 regional distribution centers (RDCs), each with a specified limit on the total currency value it can hold without incurring penalties. Local banks interact with […]

The objective of the proposed research is to develop a statistical analysis framework that provides a reliable profile of Nova Scotia’s white-tailed deer population based on deer related data sources. This project is to support improvements to deer management in Nova Scotia. Improved management and conservation of Nova Scotia’s most important big game species supports […]

Les données qu’on rencontre aujourd’hui sont souvent de grande dimension. Avec les données génétiques, les signaux et les images, des méthodes d’analyse qui tiennent compte de la taille des données est plus que jamais nécessaire. Chez Hydro-Québec, une nouvelle méthode de surveillance des équipements électriques a été développée, qui fait appel à la théorie de […]

Molecular dynamics simulations predict how individual atoms in a protein or material (or many other systems) evolve over time, allowing the detailed in silico study of atomistic processes. The most important input into those simulations is the force field, which specifies the interaction between individual atoms. For many technologically important processes such as electro-catalysis, or […]

Picton Mahoney Asset Management (“PMAM”) was founded in 2004 to provide unique investment solutions to institutional, retail and high net worth investors in Canada and around the world. They are 100% employee-owned and manage approximately $10.8 billion in sub-advisory, pension plan and hedge fund assets on behalf of their clients. The Quantitative Research and Risk […]

This research project aims to develop a ready-to-use model for predicting detailed wind patterns at wind farms to help the industry better plan turbine placements and forecast energy output. Wind speed data is usually available at a large, low-detail scale, which makes it hard to predict specific site conditions accurately. Generating high-resolution wind data using […]

Picton Mahoney Asset Management (“PMAM”) was founded in 2004 to provide unique investment solutions to institutional, retail and high net worth investors in Canada and around the world. The Multi-Strategy Team at PMAM uses economic cycle models to determine asset allocation preferences across time during different macroeconomic regimes. We have recently incorporated an additional inflation […]

Nonabelian second Galois cohomology plays an important role in studying local global priniciples. Grothendieck used it to prove remarkable results on torsors over algebraic groups for classical global fields. This was used later in the context of studying local global principles in the context of fields with Galois groups of virtual cohomological dimension at most […]

Random Graphs are crucial for modelling large, complex networks such as: the hyperlinks between pages of the web, protein interactions at the cellular level, the brain’s neural pathways, social networks and many others. Graphs are ubiquitous because they focus only on connectivity structure. A graph consists of a set of vertices, some pairs of which […]

A quantum proof of knowledge (QPoK) is a protocol in quantum computing that allows one party (the prover) to convince another party (the verifier) that they possess certain knowledge without revealing the knowledge itself. Our research proposal aims to advance the science of QPoKs by developing both theoretical foundations and practical applications. We will explore […]

Le domaine du stage proposé est à l’interface entre la combinatoire et l’algèbre. Plus spécifiquement, il s’intéresse à la combinatoire apparaissant en théorie des représentations d’algèbres. Une question centrale dans ce domaine est la catégorification. Le principe est, étant donné un phénomène combinatoire, de trouver/construire une catégorie (typiquement une catégorie provenant de la théorie des […]

The use of large data sets in today’s world necessitates robust methods for classifying data. Topological data analysis (TDA) studies the shape of data collected in a geometric space. It has been applied to numerous data analysis problems, from glass manufacturing to cancer research. TDA involves examining the data at different distances. TDA constructs a […]