Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Analytique prédictive de l’état de santé des actifs technologiques

Le but de ce projet est de mettre en place un modèle de machine learning afin de détecter les pannes sur les actifs informatiques avant que celles-ci ne se présentent. La maintenance prédictive permet de monitorer l’état de santé des actifs informatiques et de prendre des décisions appropriées lorsque ceux-ci se dégradent. En effet une panne de serveurs peut avoir des répercussions négatives sur les clients de la Banque Nationale du Canada (distributeur automatique de billet non fonctionnel, site web inactif, panne du système transactionnel) et il faut donc autant que possible limiter ces évènements. L’étudiant, dans le cadre de son projet supervisé à la Msc. en Intelligence d’affaire à HEC Montréal devra donc développer des modèles prédictifs afin de détecter les disfonctionnements sur les différents actifs informatiques de la Banque Nationale. Une attention toute particulière sera portée sur les liens entre les pannes.

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Faculty Supervisor:

Denis Larocque

Student:

Partner:

Banque Nationale du Canada

Discipline:

Business

Sector:

Finance and Insurance; Professional, scientific and technical services

University:

HEC Montréal

Program:

Accelerate

Examining Canadian Student Smoking Behaviours

The project is to examine the determinants of e-cigarette, tobacco and marijuana use among Canadian students. Specifically, we intend to determine what are the major risk factors associated with e-cigarette, tobacco and marijuana use, and to identify strategies that can be used to help address these issues. Statistical analysis will be conducted to measure the relationship between the risk factors and outcome (e-cigarette, tobacco and marijuana use). The Lung Association of Saskatchewan can use information from this study to develop easy to understand resources and messaging for the public, and results of this project can help them advocate to all three levels of government for policy and legislative change.

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Faculty Supervisor:

Yelena Bird;Jean Moraros

Student:

Partner:

Lung Association of Saskatchewan

Discipline:

Life Sciences

Sector:

Other services (except public administration)

University:

University of Saskatchewan

Program:

Accelerate

3D RFM SLAM for UAVs Subject to Severe Vibration

The first step for any robot to achieve true autonomy is to create a map of its surroundings and localize itself within this map at the same time. This is popularly known as the Simultaneous Localization and Mapping (SLAM) problem. Although much theory has been developed over the years to solve the SLAM problem, researchers have been having difficulties in real-world application. This is because sensors and actuators onboard a robot are always corrupted by noise. In particular, Unmanned Aerial Vehicles (UAVs) face additional difficulties that land vehicles do not. Because UAVs travel in 3D rather than 2D, additional nonlinearities associated with rotation complicate the SLAM solution. Furthermore, excessive vibration during flight can render sensitive onboard sensors useless. TO BE CONT’D

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Faculty Supervisor:

James Richard Forbes

Student:

Partner:

ARA Robotique

Discipline:

Engineering

Sector:

Aerospace; Technology; Other

University:

McGill University

Program:

Accelerate

Tree to Home Scoping

This research aims to identify the challenges and opportunities that exist within and amongst First Nations communities for creating culturally appropriate and resilient housing models and local economies. It will build understanding around what is required to transform the current housing system from one that uses external labour, resources and businesses to one that promotes local livelihoods, value-added businesses and local resource use within a First Nations culturally focused bioregional economy. To accomplish this the intern will investigate financing options, policy and legislative constraints or opportunities, value-added services, and the ways in which First Nation led land use plans can be operationalized to stimulate local economic development. This research will play a key role in forwarding Ecotrusts’s mission to develop alternative approaches to economic development that can generate greater long term benefits for communities of place in terms of improved social, cultural, ecological and financial outcomes.

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Faculty Supervisor:

Terre Satterfield

Student:

Partner:

Ecotrust Canada

Discipline:

Sociology

Sector:

Agriculture; Other services (except public administration); Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Machine Learning for Improved Automated Valuation Model (II)

To estimate the market value of a real estate, a computer software program can produce the result by analyzing the location, market conditions, and other characteristics relevant to it. This is known as the “automated valuation model (AVM)”. The previous Mitacs Accelerate project with “Data Nerds” has conducted a series of experiments with the attributes of real estates and geographic dependencies. This project is to further develop the AVM by incorporating temporal factors. The deep learning based approaches will be employed in this project. This development work will enable “Data Nerds” to achieve more accurate estimation of the real estate market by using all relevant data and information.

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Faculty Supervisor:

Zheng Liu;Eric Li

Student:

Partner:

Data Nerds

Discipline:

Engineering

Sector:

Information and cultural industries

University:

University of British Columbia - Okanagan

Program:

Accelerate

Modélisation numérique de scénarios de restauration du parc àrésidus A du site Manitou

La gestion des rejets et stériles miniers constitue un défi grandissant auquel doit faire face le monde minier. Les ouvrages de restauration doivent être conçus pour résister dans le temps à court, moyen et long termes faces
aux instabilités physiques, chimiques ou climatiques. Le site Manitou, ancienne mine de cuivre et de zinc, a longtemps été problématique pour l’environnement. Les résidus miniers ont été abandonnés sans aucune considération environnementale pendant plus de 20 ans. Partenaire d’une entente-cadre avec le Ministère de l’Energie et des Ressources Naturelles (MERN), les Mines Agnico Eagle sont depuis 2006 responsables en partie de la gestion du site Manitou. Le présent projet de stage s’inscrit dans ce vaste programme de restauration minière et a pour but d’étudier la performance du nouveau recouvrement testé sur le parc à résidus. TO BE CONT’D

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Faculty Supervisor:

Bruno Bussière

Student:

Partner:

Agnico Eagle Mines Limited

Discipline:

Engineering

Sector:

Mining

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

Universal Data logger using SBC-2800 motherboard

Data collection, recording, and monitoring meteorological, hydrological data is very critical worldwide. Metrological/Hydrological stations usually have a variety of sensors and nstruments whick are often manufactured by different companies that are set to work with other products of those manufacturers. However, each manufacturer indirectly prefers to set each sensor/instruments with its only other products. This may restrict required flexibility for users to enjoy from mixed design of sensors/instruments to get optimized design for their station. Therefore, a new integrated system is needed with ability to record required data for various environmental monitoring stations and to send those aggregated information on line to a main station for display and further analysis. In this proposal, it is desired to develop such an environmental monitoring system integrator.

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Faculty Supervisor:

Javad Alirezaie

Student:

Partner:

Felix Technology

Discipline:

Engineering

Sector:

University:

Toronto Metropolitan University

Program:

Accelerate

A Context Aware, Lightweight, and Adaptive Authentication and Authorization

With increasing security risks in critical network infrastructures and emerging cloud technologies with shared capabilities, as well as increasing regulatory requirements on privacy, and data protection, there is a growing need for new approaches to manage security and privacy compliance. The main related challenges are (a) context-aware and fine-grained security enabling efficient real-time enforcement of authentication and authorization (A&A) and federation of security services between the global ICT providers, service providers and the connected devices, (b) optimized and adaptable encryption services to reach end to end security between service providers and connected devices. Ericsson believes the above challenges represent a promising opportunity to rethink the design of security solutions towards a novel generation of enforcement mechanisms that are autonomous, context-aware, and extendable. TO BE CONT’D

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Faculty Supervisor:

Chamseddine Talhi

Student:

Partner:

Ericsson Canada Inc (Montreal, QC)

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

Évaluation de l’érodabilité hydraulique dans les canaux d’évacuation de crues excavés dans le roc

Les barrages sont équipés d’évacuateurs de crue, dont le canal d’évacuation est la plupart du temps excavé dans le roc. L’écoulement intensif de l’eau peut conduire à l’érosion du roc, qui peut potentiellement affecter la stabilité des ouvrages hydrauliques. Afin d’assurer la pérennité de ses ouvrages hydrauliques, la compagnie Hydro-Québec souhaite disposer d’une méthode fiable permettant la prévision de l’érodabilité hydraulique du roc aux niveaux de ses évacuateurs de crue. Ceci permettra d’une part de mieux assurer la sécurité de la population et le paysage environnants, et d’autre part, assurer la production d’électricité au Québec.

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Faculty Supervisor:

Ali Saeidi

Student:

Partner:

Hydro-Quebec

Discipline:

Earth science

Sector:

Natural Resources; Energy and Utilities

University:

Université du Québec à Chicoutimi

Program:

Accelerate

The intelligent virtual agent as a patient Personalized companion

In this project the intern will develop an intelligent virtual concierge and integrate it with Curatio’s social network platform. The intelligent concierge will learn about each user over time and act as a personal assistant of the user in using the social network platform.

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Faculty Supervisor:

Russell Greiner

Student:

Partner:

RxPx Health

Discipline:

Engineering

Sector:

Information and Communications Technology; Health and Related Sciences & Technology; Life Sciences (not health)

University:

University of Alberta

Program:

Accelerate

Vulnérabilité des populations de crevette nordique aux changements climatiques et globaux le long de la côte Est du Canada

La crevette nordique est une des plus importantes espèces exploitées à l’est du Canada, moteur d’approvisionnement et de développement pour de nombreuses communautés côtières. Depuis quelques années, les stocks de crevette nordique semblent en déclin. Le réchauffement, l’acidification et la désoxygénation des océans pourraient venir d’autant plus affecter la viabilité et la rentabilité de cette pêcherie. Cependant la vulnérabilité relative des différentes populations n’est que peu connue et ne permet pas de prédire l’évolution globale de cette pêcherie dans un contexte de changements globaux. En menaçant la ressource, ces changements pourraient à moyen et long terme impacter par extension l’activité économique de la pêche et la vitalité socio-économique de plusieurs régions atlantiques. TO BE CONT’D

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Faculty Supervisor:

Piero Calosi;Fanny NOISETTE;Marco ALBERIO;William Cheung

Student:

Partner:

Ouranos Inc;Merinov (Rimouski, QC)

Discipline:

Life Sciences

Sector:

Accommodation and food services; Agriculture; Professional, scientific and technical services; Public administration

University:

Université du Québec à Rimouski

Program:

Accelerate

Evaluation of targeted alpha-therapy on patient-derived Glioblastoma cells

Glioblastoma multiforme (GBM) is the deadliest form of human brain tumors, systematically recurring despite multimodal treatment. As a consequence, the average patient survival is less than 15 months, and is thought to be linked with the presence of brain tumor stem cells (BTSCs) that are implicated in treatment resistance. GBM BTSCs are radiotherapy and chemotherapy resistant, and BTSCs escaping treatment may explain tumor relapse. In the current era of precision medicine, targeted radiotherapy constitutes an attractive strategy for treating intractable disease. By combining the selectivity of immunotherapies with the proven lethality of radio-isotopes we have the opportunity to deliver irreversible damage to a defined cancer cell population while sparing normal tissue. We have developed an in vivo mouse-model that has the distinct advantage of generating recurrent, human, treatment-refractory GBM. TO BE CONT’D

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Faculty Supervisor:

Sheila Kumari Singh

Student:

Partner:

Longbow Therapeutics Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

McMaster University

Program:

Accelerate

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