Scalable Secure Authentication in Mesh-enabled Networks for Smart Cities

The proposed solution will address the aforementioned challenges by attempting to provide scalable authentication and encryption mechanisms. A combination of software and hardware based approaches can be used to provide enhanced security to constrained IoT nodes with respect to their timing and power demands. Technologies such as Bluetooth or 802.11ax mesh networking could be critical […]

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Robust WiFi-based Indoor Presence Detection and Localization

In this project, we are interested in device-free methods that passively sense, monitor, and track people’s indoor presence, location, and movement using off-the-shelf Wi-Fi-enabled devices. We use information extracted from the physical layer of wireless links to detect and interpret human presence, location, and physical activities. The current design and implementation of Wi-Fi-based systems exhibit […]

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Anomaly Detection in transactions volumes

The objective of the project is to investigate how machine learning techniques can be used to detect anomalies in volumes of transactions. This requires the student to conduct a literature review about the topic as well as experimenting with a subset of selected machine learning techniques. The results from the research could help the partner […]

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Ahead of Time Compiled Code Generation

Compilers are large software projects consisting of many separate but common components like code generators, garbage collectors, and runtime diagnostic tools, to name but a few. Historically compiler developers have had to write each of these components from scratch. The Eclipse OMR project was created to provide generic components for use in new compilers and […]

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3D Perception and Prediction for Autonomous Driving

For an Autonomous Vehicle (AV) to make decisions and drive independently on urban streets, the problem at hand can be broken down into many phases, two of which are perception and prediction. Perception refers to the process of extracting valuable information from the environment using data collected by sensors such as LIDAR and camera. This […]

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Generalization in Deep Learning

In recent years, deep learning has led to unprecedented advances in a wide range of applications including natural language processing, reinforcement learning, and speech recognition. Despite the abundance of empirical evidence highlighting the success of neural networks, the theoretical properties of deep learning remain poorly understood and have been a subject of active investigation. One […]

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Extraction et analyse des objectifs de sollicitation client

L’objectif de ce projet de recherche est d’améliorer la compréhension des membres par les conseillers de la Fédération des caisses Desjardins. Pour ce faire, nous avons mis en place une solution permettant d’analyser l’information provenant des appels et des discussions par chat. Grâce à différents algorithmes de traitement automatique du langage, nous pouvons extraire les […]

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Classification automatique de données d’indicateurs de performance de projets de Partenariat Public Privé et analyse de tendances

Dans le domaine de la gestion des infrastructures, les indicateurs de performance (IP, ou en anglais Key Performance Indicators – KPI) sont des mesures qui lient le client et le fournisseur de services. Ces indicateurs permettent de fixer des objectifs de performance que le fournisseur doit atteindre. Les IP sont particulièrement importants dans des ententes […]

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Hyperstate: Communication between organizations In the Music Business

The current project intends to create a software platform solution that solves the communication between organizations in the Music Industry. Overall, the platform uses third party systems to achieve the requirements of the problem statement. Moreover, the platform is built over abstraction levels to integrate different components. The research of the integration of these parties […]

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Accurate identification of Points of Interest visits for refined trade area analysis and audience segmentation

Pelmorex (owner of the brands The Weather Network and MeteoMedia) operates weather information services accessed by all Canadians on desktop computers, mobile apps and television. The mobile app is one of the most downloaded and used apps in the country, within both the Apple/Google ecosystems of smart phones/tablets. Continuous and accurate location data is collected […]

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Bringing Personalized Recommendation to the Legal Domain

Machine Learning has just started to be applied to the Legal Domain. ROSS Intelligence makes it possible for legal professionals to work faster and more effectively. Advanced Recommender Systems have not been previously applied in the Legal Domain. Yet state of the art models such as ones using Deep Collaborative Filtering have proven to be […]

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