Numerical investigations of Geophysical Data

Geophysic is concerned with the study of the earth’s properties, and it is of great importance to oil and mineral exploration and in the environmental investigation. With the advanced in modern technology, enormous geophysical data are now available from the ground measurements and airborne surveys. One of the crucial tasks in geophysical investigation is to […]

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Prediction of Insurance Coverage and Wait Times

The purpose of this project will be to develop a flexible and statistically sound methodology for leveraging BPI’s database of current and historical publicly available coverage information to model coverage trends in the U.S. health insurance industry. The project will also include the development of an R Markdown template for future predictive analytics reports. The […]

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Métaheuristiques pour la planification de la production hydro-électrique à court-terme

La planification de la production hydro-électrique à court-terme concerne les 10 à 30 prochains jours, et cherche à minimiser l’utilisation de la ressource (l’eau) tout en respectant à chaque heure la charge électrique et de nombreuses contraintes. Celles-ci concernent la sécurité des équipements, les inondations potentielles, les maintenances… De plus, l’environnement de planification est très […]

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Scientific Computing with Applications in Geophysics

and mineral exploration and in the environmental investigation. With the advanced in modern technology, enormous progress has been made in applying scientific computing to investigate large scale and complex geophysical problems. TerraNotes Ltd GEOPHYSICS is a company developing advanced technologies which are capable of solving practical and real geophysical problems. The present MITACS Accelerate Internship […]

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Optimization tools for short-term hydropower generation management

Short-term hydropower optimization models are used on a daily basis to dispatch the available water for production between the turbines of the power plants that compose an hydropower system. Rio Tinto owns and operates power plants in the Saguenay Lac-St-Jean region of the province of Quebec and is currently lacking efficient tools to help the […]

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Sparse Multivariate Polynomial Factorization

Factoring large polynomials is one of the main tools provided by mathematical software packages like Maple. It is used by scientists, engineers and mathematicians directly to simplify and study large formulas. It is also used inside Maple to do other tasks such as solving systems of polynomial equations. This project proposes to dramatically improve the […]

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Modélisation des catégories de blessures en considérant la présence d’un représentant légal

L’estimation des réserves est une tâche qu’un actuaire d’une compagnie d’assurances incendie, accidents et risques divers doit accomplir pour démontrer que sa compagnie est solvable. Avec le développement de la technologie et l’accessibilité à une plus grande disponibilité des données, les approches utilisant t l’information disponible pour chacun des paiements, de chacune des réclamations et […]

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Statistical Machine Learning Framework in Retention and Attrition Modelling

Customer or member retention refers to the ability of a company to retain its customers, and customer attrition, as the counterpart of customer retention, refers to the loss of customers. Developing a more accurate and comprehensible predictive model can help companies like Servus better understand member retention and attrition. This project is aiming at using […]

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Uplift models extension for smart marketing

Insurance companies heavily fund marketing campaigns such as, for instance, customer retention or cross-sell initiatives. Uplift modeling aims at predicting the causal effect of an action such as medical treatment or a marketing campaign on a particular individual by taking into consideration the response to an action. Typically, the result of an uplift model is […]

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Evaluation of Measures to Control and Prevent Clostridium difficile Infection

Clostridium difficile infection (CDI) has become the leading cause of hospital acquired nosocomial diarrhea worldwide. The prolonged hospital stays associated with CDI has enormous impact on the healthcare systems in terms of costs and patient outcomes. While treatment of CDI is an important area for ongoing research, prevention efforts will need to be enhanced to […]

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