A risk-based approach to anonymization includes an assessment of the risk that an attack to reveal or uncover personal information will be realized, known as threat modelling, against the risk that an attack on the data will be successful (e.g., a re-identification). We wish to incorporate the provable guarantees of differential privacy into this assessment […]

Lending to various companies and individuals is a core business of banks. This lending activity comes with credit risk, namely the risk that some borrowers default and fail to make required payments. Estimating credit risk accurately is important for banks’ risk management. In this project, we analyze and model the dependence between loss frequency and […]

Given a time series of returns for a portfolio of financial instruments, develop a model that accurately predicts returns which maximize profits. The objective function will take an input of financial indicators from the previous time interval and the returns from the current time interval. These indicators can explain relationships between financial instruments in the […]

This project aims build an autonomous underwriting system that can provide debt financing to small and medium enterprises (SMEs) in the technology sector without human intervention. The research will explore mathematical methods and key factors that are unique to evaluating creditworthiness of those SMEs. The result will be an underwriting system that incorporates statistical methods […]

The focus of my research is modelling graphene-hBN (graphene-hexagonal-boron nitride), a novel two-dimensional ceramic with the ability to allow for the measurement of both plastic and elastic strain. Mixing graphene with hBN augments the properties of the ceramic by making it stronger and more versatile. When exposed to an elastic strain, the ceramic will exhibit […]

Les espaces publicitaires que l’on retrouve sur la plupart des page web font partie d’un marché similaire à celui des actions. Les espaces publicitaire sont mis à l’enchère sur une plateforme d’échanges électroniques et les publicistes misent sur ces espaces afin d’y afficher du contenu ou de les revendre. Dans ce marché relativement nouveau, les […]

La rotation de personnel est un problème majeur dans l’industrie des soins de santé à domicile. Dans un contexte où le travail des intervenants est particulièrement basé sur une relation de confiance avec les patients, la prévention de la rotation est déterminante pour le continuum et la qualité des soins prodigués. Perdre un infirmier ou […]

Energy-driven pattern formation induced by competing short and long range interaction in multi-species systems is pervasive in the natural world. The phenomenon of self-organization during pattern formation is quite common, and encountered in a variety of fields, such as biological systems like animal coats and skin pigmentation, and physics. As an example, we cite the […]

Analytical applications in large organizations across even intermediate time ranges are often made complex, costly or even impractical due to temporal inconsistencies in the available data. The ever-changing nature of organizations causes categorical labels in data to change over time. This is particularly true for HR data, as the organization adjusts to changes in skillsets, […]

The explosion of data from personal phones, apps, and sensors have enabled powerful machine learning algorithms to help computers identify, categorize, and evaluate information without the help of humans. However, teaching computers how to identify, categorize, and evaluate information usually requires feeding the computers a lot of data pre-labelled by humans. The pre-labelling process is […]

This project lies in an area of mathematics called computational number theory. Specifically, we will be studying the topic of integer factorization. The idea is that all non-prime integers can be factored into a product of smaller integers. While this seems simple, it is computationally difficult and although various factoring algorithms attempt to solve the […]

L’entreprise Logiag (pour logiciels agricoles), en partenariat avec le Conseil national de recherches du Canada (CNRC) a mis au point une technologie LIBS (« Laser Induced Breakdown Spectroscopy ») pour la réalisation d’analyses agricoles (sol, feuille, fourrage). L’appareil, déjà certifié par la norme ISO 17025 (qui reconnaît la compétence des laboratoires d’essais et d’étalonnages), permet […]