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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Qualitative Data Collection for Development of an Electronic Application to Promote Home-Based Self-Care in Older Heart Failure Patients: Patient and Informal Caregiver Perspectives

Heart failure (HF) is one of the leading causes of hospitalization and rehospitalization in older adults, yet the majority of HF-related readmissions are preventable if patients can manage their treatment at home. One method to help patients who require extra assistance in following their treatment is through mHealth applications. However, these applications are not usable […]

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Machine Learning for the Telecommunication Industry

Ericsson is an industry leader in offering telecommunication solutions and products. As an important step on the path towards the automatic and autonomous management of next generation networks, Ericsson is developing technology in machine learning and artificial intelligence that will benefit operators around the world, including in Canada where Ericsson supplies technology to most of […]

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Machine Learning for the Telecommunication Industry

Ericsson is an industry leader in offering telecommunication solutions and products. As an important step on the path towards the automatic and autonomous management of next generation networks, Ericsson is developing technology in machine learning and artificial intelligence that will benefit operators around the world, including in Canada where Ericsson supplies technology to most of […]

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Machine Learning for the Telecommunication Industry – Year two

Ericsson is an industry leader in offering telecommunication solutions and products. As an important step on the path towards the automatic and autonomous management of next generation networks, Ericsson is developing technology in machine learning and artificial intelligence that will benefit operators around the world, including in Canada where Ericsson supplies technology to most of […]

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Content Delivery Networks to the Home

CONTENT Delivery Networks (CDNs) are large distributed infrastructures of replica servers placed in strategic locations. They deliver content to end-users with reduced latency by replicating content on surrogate servers. However they face a major challenge when content is delivered to end-users accessing a same content in home settings: inefficient bandwidth usage in the access network. […]

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