For a software application to be released, it may need a number of standard certifications, which should be issued from different associations and for a wide range of software features (e.g., security, perfor-mance, scalability). We call these associations trusted third parties. The main problem with these trust-ed third parties is that they are single points […]

Using mathematical models we draw verifiable conclusions from a rental-fleet dataset. These conclusions help rental-fleet operators increase revenue, decrease cost, or improve other aspects of their business. We not only identify what models to build, but also implement them using rental-fleet data. Some example questions that we help rental-fleet operations answer are: 1) what warranties […]

In current collaborative software development environments, developers usually work in parallel. They often share changes with other developers or incorporate changes from them, with the help of version control systems (VCSs) such as Git and Subversion. The parallel collaboration process improves the development speed on the one hand, but on the other hand, leads to […]

This project aims to address the race bias of face recognition technology by developing new face feature sets and building the suggested models based on an equal number of images from varied-race photos using appropriate deep learning algorithms. This research seeks to deliver industry partner IRIS with guidelines for a developed prototype that facilitates the […]

Text Mining is the process of automatically extracting structured knowledge from unstructured, natural language documents. It aims to support users in dealing with large amounts of textual information. Examples for specific text mining tasks are entity detection, summarization, and opinion mining. Due to the complexity and ambiguity of natural language, this analysis is broken down […]

Ce projet de recherche vise à développer une technologie de pointe qui permettra à une entreprise d’identifier rapidement les appels d’offres les plus intéressants pour elle en fonction des produits et services qu’elle offre. Elle lui permettra également de produire ses soumissions plus rapidement et efficacement. Plus précisément, l’objectif est de développer un logiciel capable […]

Les antibiotiques facteurs de croissance ajoutés dans les aliments pour animaux a été récemment interdite au Canada et leur utilisation sera considérablement restreinte dans le futur. Ainsi, plutôt que de seulement contrôler les maladies entériques, des efforts doivent être faits pour améliorer la santé de l’écosystème intestinal. Il existe de nombreuses alternatives telles les huiles […]

In a society aiming at achieving high sustainability objectives, new urban developments represent an interesting opportunity to implement innovative hybrid energy systems. That is the case of the Petite Riviere project, a future sustainable community of approximately 1,500 housing and commercial units located in the city of Montreal, Quebec. The community will rely on a […]

L’objectif de ce projet sera de mettre en place un protocole d’évaluation précis pour les triathlètes. Cette évaluation déterminera les points forts et les points à améliorer dans chacune des trois disciplines, c’est-à-dire en natation, en cyclisme et en course à pied. De cette façon, nous pourrons fournir les données nécessaires aux entraîneurs et aux […]

Blockchain is a decentralized and immutable data structure. The information stored on blockchain is tamper-resistant, immutable and transparent. Blockchain is an interesting platform for managing digital certificates without a central authority. Because paper certificates can be easily faked or tampered with modern computer skills. Additionally, using a central authority for issuing distributing certificates is inefficient. […]

Intern will develop new methodologies based on system level logs to detect malicious activities in virtualized environments. To achieve this goal, intern must review the state-of-the-art and proposes new solutions to overcome the shortcomings of currently existing methodologies and introduce new functionalities. The proposed solutions need to be validated and published based on experimental results. […]

The project aims to develop a novel deep learning based computer vision system to identify different categories and sub-categories of the furniture and the associated attributes (such as color, shape, style, and material). It will also develop an automated recommendation system that can learn from the massive historical data and the on-going stream of data […]