Si les TIC ont permis à la formation de devenir plus accessible et favoriseraient l’engagement et la motivation, les faibles taux de réussite en formation à distance (FAD) posent problème. Les environnements numériques (EN) utilisés dans les formations en ligne enregistrent systématiquement les traces informatiques des activités des apprenants, qui peuvent être combinés avec des […]

Les tourbières représentent la majorité des milieux humides du Québec et offrent une diversité floristique unique. Cependant, les gradients structurant leur biodiversité restent mal connus. Cette compréhension est toutefois essentielle afin d’orienter adéquatement les choix de conservation. Nos objectifs sont 1) de modéliser la répartition de la diversité floristique des tourbières; 2) d’étudier la dynamique […]

In partnership with Labopharm, a leading company in optimizing the performance of small molecule drugs, a complete pharmacokinetic (PK) study of three new formulations of a commercially available drug will be performed. This study will be conducted in order to choose the most appropriate formulation in terms of bioavailability and absorption rate. Pharmacokinetics parameters of […]

This internship project aims at creating a system prototype using several surveillance cameras in order to measure customer traffic inside stores. At the moment, most counting methods use sensors that do not differentiate between repeat visits by the same individual and single visits by different individuals. Moreover, these methods cannot always distinguish between potential customers […]

Information extraction from unstructured data is a wide and relatively recent domain. For this research project, the focus will be on the information extraction from finance reports and news, more precisely related to the commodities market. This includes Natural Language Processing (NLP), expert systems (such as ontology-based systems) and information fusion as tools for analysing […]

This project will develop a mathematical model and computer tools that will minimize transportation and infrastructure costs related to the forest road network, in order to ensure the transport of wood products to receiving plants. The model will consider several decision levels, including the location of transfer yards and the choice of mode of transportation. […]

In this project, the intern will use a recently developed interpolation technique based on the Lie group theory to enhance the quality of the classification of Synthetic Apertur Radar images. He will evaluate the effects and discuss the benefits of this interpolation on the complete set of polarimetric features extracted from a fully polarimetric SAR […]

Sigma° is a software application for updating topographical maps developed by Synetix for the Quebec government department for natural resources and wildlife (MNRF). The algorithm can be used to update communication channels with remote-detection images and the principle of using topographical maps to guide detection procedures. The initial version of Sigma° was developed and validated […]

In this project, 10 older patients who have uncontrolled diabetes will use wireless technology including a blood glucose monitor and a Blackberry or a Tablet PC to transmit their blood glucose readings from home to two nurses working at a private homecare company. These patients will transmit their blood glucose readings approximately three times a […]

The overall objective is to design a learning system that takes a training set of acoustic signals and produces a classifier that can identify the category of the acoustic signal, out of a small number of categories. We have already found that it is important to consider the factors of variation that can influence the […]

The classification of acoustic signals whose factors of variation are due to different atmospheric and sound propagation effect is a challenging problem. The internship will explore new learning algorithms for this application, which have the potential to capture some of the complex structure in the data.

The project will develop methods for constructing profiles and predictive models for geo-spatial data. The socio-demographic profile will be developed for the geographical areas of interest. In addition, the models will be developed to identify areas with high potential; for acquiring new customers. The targeting of these areas may be conducted through unaddressed direct mail. […]