Large Consumer-Generated Data Optimization and Prediction

The proposed research aims to target large-scale consumer-generated data to analyze, visualize, and make predictions out of. The data will be collected from the consumers to make assessments on their lifestyles, and will come in forms such as heart-rate variance, that is, being temporal data. Researchers with visual analytics background will apply new visualization techniques […]

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Facilitating Discovery of Books Through Proactive User Cues

Search and recommendations drive the majority of sales at KOBO. It is therefore critical to continually improve and tune these algorithms. Our project will explore several questions dealing with integrating information provided by users in order to optimize search and recommendation algorithms: how to integrate user-generated tags in order to enhance search (rather than simply […]

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Data Driven CRM Optimization for eReading

During the duration of the proposed project, the intern will become a member of the partner organization’s “Big Data” team, participating in all team activities, and completing research-oriented work for the team. The intern will complete research that will explore and improve upon previous methods of intelligently communicating with customers through personalized emails. This may […]

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Enhancing Operational Interoperability for Information Exchange in the Pork Industry

Information and Communication Technologies (ICT) adoption in livestock production landscape has been transformative and has led to a fundamental need for sophisticated data management and exchange solutions. Building an interoperable data management system requires an understanding of data context, stakeholders’ needs, data usage conditions, as well as contractual and legal requirements. Only through understanding the […]

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Supply chain metrics during the product lifecycle (extension)

Ciena Corporation is a global supplier of telecommunications networking equipment, software and services. The company operates in a high product mix, low volume environment with short product cycle times. As a consequence, it has difficulty estimating product volumes and end-of-life inventory. The project will determine the best set of metrics during product lifecycle stages in […]

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Deconvolution of Whole Blood Transcriptome based on mRNA-Seq data

Gene expression in blood is highly affected by the type and proportion blood cells. Therefore, cell composition needs to be taken into account when looking for signatures specific to a condition. The issue is that cell composition needs to be assessed on fresh blood, i.e. at time of blood collection. If this has not been […]

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Impact avant et après la mise en place d’une plateforme web de gestion d’horaires en milieu hospitalier

Les hôpitaux et autres établissements de la santé font faces à des problèmes de planification et d’ordonnancement du personnel. Les travaux recensés mettent davantage l’emphase sur la confection des horaires de travail des infirmières et auxiliaires que sur la création d’horaires des médecins. Plusieurs outils issus du domaine industriel ont été utilisés et adaptés au […]

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Error-correcting codes for adiabatic quantum computation

There are many difficult problems in diverse areas such as bioinformatics, transportation or finance, which are very hard to solve on a classical computer. A new type of computer was conceived, called a quantum computer, which operates on the laws of quantum physics, as opposed to the laws of classical mechanics. Such a quantum computer […]

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Training in Virtual Environments on Mobile Devices

New emerging Virtual Reality (VR) technologies and mobile devices are changing the way that we are interacting with computing technology. The partner organization has a multimedia product that is used to train technicians to perform various maintenance tasks or introduce them to the interconnected components of a machine. The goal of this project is to […]

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Développement d’algorithmes InSAR et DInSAR pour l’exploitation de l’information interférométrique fournie par les images SAR

L’interférométrie radar est une technique innovante et opérationnelle pour l’extraction des données topographiques (InSAR) et la surveillance des mouvements du sol (DInSAR) à partir des images radar. Cette technique utilise l’information sur le déphasage des signaux radar provenant du même objet au sol observé selon des positions différentes du SAR (InSAR) ou de la même […]

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