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 […]

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 […]

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 […]

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 […]

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. […]

5G, cloud and IoT confederation vision is to revolutionize the internet by fostering billions of interconnected mobile and embedded devices, sensors, and services, exchanging information in order to build smart, self-conscious autonomous environments. Yet, the ubiquity and value of connected devices and their applications cannot hide their security and privacy challenges. The enormous amount of […]

Factoring large polynomials is one of the main tools provided by mathematical software packages like Maple. It is used by scientists, engineers and mathematicians directly to simplify and study large formulas. It is also used inside Maple to do other tasks such as solving systems of polynomial equations. This project proposes to dramatically improve the […]

Cited is a multimedia knowledge mobilization project that tells stories about research and academia to a general audience. It is experimenting with a unique co-creative approach that puts students, journalists, and researchers together on the same team. Mitacs interns will work with Cited media partners to conduct original research that builds interviews, documentaries, and other […]

L’entreprise StreamScan Inc. produit un « système de détection de compromission » ou (compromize detection system ou CDS), une solution de sécurité innovante, de nouvelle génération qui permet d’identifier l’ensemble des systèmes informatiques (serveurs, équipements réseau, etc.) piratés dans une infrastructure TIC. Ce projet a pour objectif d’adapter le produit CDS au contexte de l’Internet […]

Quantification of human standing balance provides unique insight into the integrity of the human sensorimotor system, including the identification of balance deficits in conditions such as mild traumatic brain injury (mTBI), stroke, and aging. While a number of high-cost instrumented balance quantification systems are available, they are primarily geared towards research settings. Novel technologies using […]

The proposed solution will address IoT security challenges by using the blockchain technology to create feasible trust mechanisms. We will develop a solution by which exchanged information remains trusted and confidential to be handled efficiently at different places, and we will apply it to a smart transport use case.

The on-line dating industry currently has over 1400 different sites, including known sites such as eHarmony, Match.com and LavaLife, however, research indicates a general dissatisfaction in the quality of relationship matches generated by these sites. The research proposal will investigate the use of rule based semantic technologies in providing accurate and higher quality matching service. […]