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The objective of the research project is to study an efficient and fast way to calculate values of some parameters which are hard to be estimated in nature in relation to dengue, they are: the biting rate, probability that a host to get infected, probability that a vector to get infected. These parameters are needed […]

Through a method of mathematical modeling, we intend to obtain essential data to determine the risk of non-immune tourists acquiring dengue during the stay of these tourists in Brazil in the 2014 FIFA World Cup in 12 host cities, and in the 2016 Summer Olympics that is Rio de Janeiro as the host. In 2014, […]

Visceral leishmaniasis is one of the world deadliest and neglected infectious diseases. Therefore, it is important elaborating a good strategic control for this disease. In this project, our general objectives include how to plan the optimization of visceral leishmaniasis control, taking into account the economic approach. This research will not involve experiments and clinical study. […]

During the previous Mitacs PhD internship (IT11500), a long short-term memory encoder-decoder (LSTM-ED) neural network survival model was developed to predict time to debt repayment for ATB collections customers. This model is novel from both methodological and practical perspectives. The LSTM-ED simultaneously predicts the probability that debt will be repaid within the first 90 days […]

Ion-exchanged or chemically tempered glass such as Corning’s Gorilla glass was a break-through in the design and production of high toughness glass. However, the pace of improvements brought in by this technology is levelling off. Recently, the industry has turned to another approach to product tough glass: the addition of small crystalline inclusions. However, this […]

The aim of this internship is to carry out an analysis of the equations modelling the distribution function of sea ice thickness, particularly in the case of large deformations such as ridges. Among other things, we will be interested in the numerical solutions of these equations, their stability and their consistency.

Le département de Prévision et Analytique de TD Assurance est actuellement en charge de prédire les ventes et les revenues des différents produits d’assurance sur une base annuelle et mensuelle. Prédire les revenues, et ceci de manière précise, est crucial pour l’entreprise et son bon fonctionnement. Les modèles jusqu’alors utilisés ont étés construits il y […]

This internship is designed to analyse the impact of high frequency offenders (HFO) on the criminal justice system in British Columbia. Research indicates that HFOs have a substantial impact on police reported offences, the court system and the corrections system. Through a partnership with the Ministry of Justice of British Columbia and Sierra Systems, an […]

In the previous projects with TMX some unsupervised techniques have been explored to detect anomalies in trading for the derivative market. All have their pros and cons but they all have provided promising results. The first objective of this collaboration with TMX is to treat all these techniques that have been explored in previous projects; […]

Within the field of property and casualty insurance (P&C), one of the most pertinent dilemmas is the estimation of the insurance premiums required to accommodate potential losses. Due to the inherently random nature of losses, one of the tools utilized within P&C insurance is credibility theory, which utilizes a weighted average between past portfolio data […]

Health economic evaluation provides a comparison on the incremental costs between two interventions and whether this extra cost is justifiable by the incremental clinical benefits. It has been increasingly used by payers to inform drug reimbursement decision as it can answer the question on whether a new health technology will provide value-for-money. Consequently, alongside clinical […]