Le projet de recherche concerne l’étude et de développement d’algorithmes pour l’optimisation de fonctions différentiables sous de simples contraintes de bornes. Ces problèmes présentent un intérêt intrinsèque par leur structure. Des algorithmes d’application plus générale utilisent fréquemment des sous-problèmes avec contraintes de bornes. Plusieurs applications, par exemple dans les problèmes d’imagerie, comportent systématiquement des bornes […]

The purpose of this research project is to forecast the timing and estimate the costs of yellow starthistle (Centaurea solstitialis) invasion into southern British Columbia. Yellow Starthistle is an invasive plant that has caused tens of millions of dollars of damages to agricultural production in the United States as well as millions of dollars of […]

As a part of work between the hospital of Rennes and the VisAGeS team, the EMISEP project focuses on multiple sclerosis (MS) which affects the spinal cord. We address the evaluation of the potential of focal lesions and diffuse lesions observed using diffusion MRI early in the disease course to predict the EDSS at 5 […]

This research initiative aims to develop more accurate mathematical models of human energy metabolism. The company FitMyLife Health Analytics aims to use the models to help its customers establish behaviour patterns to achieve health goals, such as increased fitness, increased health and weight loss. The models ensure that customers’ decisions are rooted in an accurate […]

The aim of the project is to predict future customer demand for repeat-buying items based on available customer purchase records. However, the purchase history for a single customer may not be sufficient to base predictions on. Also, some purchase records might be missing due to sales events at competitors’ locations. Thus, treating each customer as […]

Today’s marketplace is moving faster than ever, and companies are challenged to distribute their products more quickly, efficiently and cost-effectively. This has led to the rise of cross-docking in the global supply chain to help keep pace with customer demand. Cross-docking refers to the practice of unloading goods or materials from an incoming vehicle (e.g., […]

Today’s marketplace is moving faster than ever, and companies are challenged to distribute their products more quickly, efficiently and cost-effectively. This has led to the rise of cross-docking in the global supply chain to help keep pace with customer demand. Cross-docking refers to the practice of unloading goods or materials from an incoming vehicle (e.g., […]

Liquefaction is a destructive phenomenon which usually takes place after an earthquake in areas with water-saturated soil or sand. During the liquefaction process, soil loses its strength and can no longer support structures and buildings which often leads to their destruction. To prevent damages associated with liquefaction, it is critical to study this phenomenon and […]

This project aims to further develop cost-effective methods for characterizing fluid flow fields in high-energy tidal channels, with a focus on use of low-profile drifters to calibrate and validate numerical models of ocean flows. The project will focus on the Finite-Volume Community Ocean Model (FVCOM) used by Acadia and Luna Ocean, primarily for tidal energy […]

The project is a partnership between Polytechnique Montréal, HEC Montréal, UQAM and JDA Canada. JDA Labs is investigating new approaches to help incorporate “big data” science and analytics into everyday supply chain decisions. It relies on new approaches that employ sensor technologies, new analytic capabilities and simulation techniques to not just sense and respond, but […]

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 […]

Medicago, a clinical-stage biopharmaceutical company, has the potential to rapidly develop a vaccine in response to a newly sequenced influenza strain, allowing for large-scale vaccination of the population very early during a pandemic. The company would like to know how many doses of vaccine is required and what distribution strategies should be used to maximize […]