The proposed research will enable customers to see personalized recommendations based on multiple factors such as their order history, their preferences and contextual information such as the meteo and the day of the week. The main expected benefit is to increase the average bill by showing personalized recommendation

Young immigrant children, like immigrant adults, are faced with many challenges surrounding acculturation. In order for them to be able to live within and between two cultures there is a need for them to understand the traditional values and beliefs of their family’s heritage, as well as the cultural values and beliefs of the society […]

La planification de la réfection d’un navire est une tâche difficile qui requiert un effort considérable en termes de ressources qu’il faut gérer. Elle comprend plusieurs centaines d’activités d’inspection, de désassemblage, de réparation, de remplacement, de reconversion, de modernisation et de réassemblage. De plus, il faut prendre en compte les contraintes d’espace qui limitent le […]

Over 70% of tasks in manufacturing are still manual and because of this over 75% of the variation in manufacturing comes from human beings. Human errors were the major driver behind the $22.1 billion in vehicle recalls in 2016. Currently when plant operators want to gain an understanding of their manual processes, they send out […]

This project will test a variety of operating conditions used in anaerobic digestion (AD) in wastewater treatment (WWT) plants. The purpose is to identify optimal conditions for AD treatment process. Optimization of AD process would increase production of biogas for production of renewable energy, increase yield of bio-products for agriculture use, reduce WWT plant operating […]

There are major areas of uncertainty concerning the exploitation and management of the sea cucumber (C. frondosa) industry in Atlantic Canada. This research project will address these gaps and give stakeholders a better understanding of C. frondosa, in order to make the best possible decisions relative to its management and conservation. The proposed research will […]

Current needs for renewable and emission-free technologies imposes hydroelectric power plants to generate power in a predictable and reliable fashion. Replacing metallic to polymeric coatings in thrust bearings allows hydroelectric turbines to operate at a wider range of operation parameters. However, the sensibility of polymeric materials to the manufacturing method imposes important uncertainties on the […]

Grizzly bears reside on changing landscapes across Alberta, Canada. The goal of this study is to determine how disturbances in the landscape affect the health of grizzly bears. This will be monitored by analyzing the (1) expression of proteins in skin that are associated with energetics, reproduction, and stress and (2) concentrations of hormones in […]

Le projet consiste à optimiser les pratiques de gestion de la publicité sur les médias sociaux (SMM) pour plusieurs clients de l’agence de Marketing Numérique Click & Mortar. Le SMM inclut plusieurs pratiques d’optimisation de la présence sur les réseaux sociaux tels que Facebook ou Instagram. Les algorithmes sophistiqués utilisés pour filtrer le contenu publié […]

The primary objective of this MITACS Cluster project is to investigate, design and prototype novel techniques for the integration of security and quality of service in near field communication (NFC)- based smartphone applications. Universal NFC Cloud Connect Inc., a new start-up company based in Halifax, Nova Scotia, that ties mobile devices to location-specific events via […]

Delphia’s business model revolves around generating insights for investing firms that allow them to make better trading decisions. It has been shown that detecting when Twitter users post about recent or future purchases has the potential to increase the accuracy of company sales forecasts, which in turn can inform stock trading strategies. This internship project […]

SS&C processes more than 80% of financial scanned and faxed documents in the US and requires large amount of manual labor in order to map information from a document into another form. Advances in neural networks applied to computer vision have produced text detection and recognition that nears human performance. This project will be leveraging […]