Culture et inégalités numériques : La question des usages chez les jeunes en situation de vulnérabilité au Québec

Dans un contexte de changement et d’évolution rapide des technologies, se pose la question de l’apprentissage tout au long de la vie et du développement des compétences numériques chez les jeunes en situation de vulnérabilité. C’est pourquoi les jeunes, filles et garçons, issus de la diversité (culturelle, économique, sociale, etc.), ont des défis à relever […]

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Hardware Support and Heterogeneous Compilation for P4

Today’s data-center network services cover a broad spectrum that evolve rapidly which means that regularly new services need to be deployed in production networks in a timely manner. Using network programmability, a network programmer can write a precise specification of what the network behaviour should be, and this specification is translated by a compiler and […]

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Advanced Analytics Initiative

Mental health issues affect a large percentage of the military population. The HERE4U Military Version will be an instant messaging smartphone application to connect military family members (adults only) who are dealing with mental health problems to a mental health counseling solution that uses the IBM Watson cognitive platform. Being able to engage with Watson […]

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Advancing Out-of-Band Network Measurement for Multi-Hop Sensor Networks

This collaborative project with Rimeware will investigate out-of-band measurement approaches that can passively monitor the network traffic and provide rich detailed network information, e.g., latency, loss, route path, etc. The goal is to build a programmable system for accurate, generic, and robust network measurement. It includes two sub projects. In the first sub-project, we will […]

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Investigating Learning Cultures and Practices that Foster Experiential, Collaborative and Self-Directed Learning

The fundamental purpose of this research is to identify and understand ways in which workplaces can become “schools”, and facilitate meaningful learning for their employees. The intern will describe the main characteristics of an organizational learning culture that fosters experiential, self-directed and collaborative learning, document organizational practices that support such a learning culture and collect […]

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Advanced Learning for Automatic Object Detection and Tracking in UAV Imagery

Recently there has been a growing adoption of Unmanned Aerial Vehicles (UAVs) in many applications. Robust object detection and tracking algorithms are required in many UAV scenarios. However, existing object detection and tracking approaches are not specifically designed for UAV and therefore do not have satisfactory performance in UAV. In this MITACS cluster project, by […]

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Connecting Healthcare Data with the Blockchain

This project focuses on using blockchain technology and smart contracts to manage the health care data access. Blockchain is the distributed ledger based on verified transactions, and the smart contract is the programmable part of the blockchain which can automate more complex transactions. Blockchain provides a secure and durable distributed database to store data accesses […]

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Predicting and Detecting Data Exfiltration using Machine Learning

Bell’s Cyber Threat Intelligence (CTI) team is collaborating with academic institutions in order to further research and develop cyber security analytics for the protection of critical infrastructure and data. The focus of this research is to create and leverage Machine learning for Data Exfiltration on Big Data specifically for network security purposes. This research to […]

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Privacy Preserving Federated Learning – Year two

By virtualizing all the various appliances in the network, Network Function Virtualization (NFV) became a key enabler for the coming 5G infrastructure and nowadays a major shift is under way bringing an evolution to cloud-native NFV. In the latter operational model, applications are decomposed into microservices running inside containers to enable automated installation, configuration and […]

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