To determine the infrastructure and their equipment needs throughout the life of a mine, mining companies solves a long-term planning problem that aims at determining the mining sequences that will maximize the net present value of profits while taking into account operational constraints. These problems are very difficult to solve because of their huge size. […]

Présentement, les modèles de tarification en assurance auto calculent les primes chargées aux assurés en tentant de prédire leur risque d’assurance grâce à plusieurs critères (âge, sexe, état-civil, expérience de conduite, caractéristiques du véhicule, etc.). Le problème auquel ce projet s’adresse est celui du point de vue éthique d’une telle approche. En effet, l’usage de […]

Portfolio managers evaluate stocks to find those with the best expected returns, but they need risk measures to complete their decision-making process. The project has the objective to give adequate risk metrics to portfolio managers for a given portfolio and a list of potential candidates. Historical price values are useful to determine risk, but they […]

The path to reaching net-zero emissions by 2050 in Atlantic Canada is both time- and resource-constrained. Energy system models can be used in this context to compare climate change mitigation options and to strategically plan for meeting climate change goals through cost-effective and timely means. Motivated by these circumstances, Net Zero Atlantic is building an […]

The Ophthalmology department of CHUM receives almost 400 patients per day, each of which needs to go through different tests and consultations. Scheduling those appointments is a complicated task as it involves multiple shared resources, precedent constraints between tests, and uncertainty in tests’ durations, cancellations, emergency patients, etc. The current manual scheduling at the department […]

Using data obtained over a period of 15 years from Brachytherapy procedures used on patients to treat prostate cancer, statistical analysis will be carried out to confirm the hypothesis that Brachtherapy treatments offer the best outcomes at the lowest cost in comparison to other treatment modalities. The first stage of the project will be to […]

This project aims to build a new analysis toolkit for shared bikes, escooters, and cars. The method is based on a mathematical theory called complex network. Like internet and human brains, transportation system possesses network structure. To study its topological properties, we can calculate some indices that encode the information of the network. There are […]

The proposed research project, undertaken by the intern, is devoted to the modeling of currency trading markets and their derivatives in Markov-modulated environment and possible creation proprietary algorithm trading software for this case with EUR/USD as a trading model. The research covered by these activities will include the development of the domestic and foreign equity […]

The purpose of this project is to develop three predictive models for Temenos’ Customer Intelligence offering including: (1) Customer Attrition; (2) Loyalty Scoring; and, (3) Next Best Offer. Customer attrition, also called “churn”, or “defection”, is a major business issue for organizations to address. It is crucial to maintain and grow customer relationships in order […]

Older adults with frailty are at high-risk of declines in their health and do not bounce back as well as their non-frail counterparts. These patients are among the highest users of health care because they end up in crises and go to emergency, are hospitalized, or die. But, if frailty is detected and managed earlier, […]

The Energy potential of water has been successfully harnessed to produce electricity since the late 19th century. In 2018, hydropower production accounts for approximately 61 % of the total electricity produced in Canada. To exploit this source of energy, water is stored in dams and is strategically used based on hydrological cycles. Over the years, […]

Quantitative interpretation of magnetic data through inversion for general distributions of magnetic susceptibility has played an increasingly important role in mineral exploration in recent years. The goal of the proposed project is to develop efficient and robust computational simulation tools for the inversion of magnetization at a specified depth using ground/airborne magnetic data. A numerical […]