Innovative Projects Realized

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

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

Intelligent dynamic and predictive landing system for marine aerial vehicles to enable ship- and water-based operations

This project further develops and implements unmanned aerial vehicle (UAV) autonomous landing on underway ships in a sea state under zero visibility (Canadian Arctic operations). The was developed, implemented, and verified by Dalhousie University on an experimental UAV to TRL 4.
The present project’s objective is to also implement the verified capabilities on an UAV (SHR F4) that is a product of a wholly-owned Canadian company. As well, the UAV autonomous landing capabilities will undergo further R&D so their UAV can land on rafts comparable to the UAV’s footprint and then directly on the water. The final product will undergo over-the-water tests, in phases, that transition from large indoor tanks with sea states to at-sea on boats and rafts.
The so enabled SHR F4 distinguishes SeaHawk Robotics from other COTS UAVs with its ability to land autonomously on ships and water very taxing conditions. To the best of the teams’ knowledge there is presently no such UAV abilities for marine applications.

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Faculty Supervisor:

Mae L. Seto

Student:

Partner:

SeaHawk Robotics Inc.

Discipline:

Engineering

Sector:

Transportation and warehousing

University:

Dalhousie University

Program:

Accelerate

An Omnigenic Hypothesis to Predict Human Gene Regulatory Networks

The project mainly focuses on the cellular behaviour and ways to predict human gene interactions. Using a method called Proteinfragment
Complementation Assays, we are able to compute the biochemical networks in living cells. The results of this project will
provide a novel and highly efficient way to establish hypotheses about the organization of cellular regulatory networks.
We will assign the scores for each drug onto the corresponding protein nodes of different human protein interaction networks.
Then, using a heat diffusion network propagation method, we will determine whether results reproduce known regulatory circuits,
such as signaling pathway. These scores will be applied to different directed and non-directed networks. We will also extract the
human network and assign weights to the 17,300 proteins and using the NAGA pipelines, we perform heat diffusion network
propagation. Mapping regulatory networks for each drug will be performed with the starting state of the network sets the edges to
values. Resulting networks will be tested for recovery of human disease-associated allergies.
This study will be the first to map human protein interactions and will help us in understanding how the environment and the
genome interact with each other.

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Faculty Supervisor:

Stephen Michnick

Student:

Partner:

Vellore Institute of Technology

Discipline:

Engineering

Sector:

Pharmaceuticals; Biotechnology; Artificial Intelligence

University:

Université de Montréal

Program:

Globalink Research Award

Élaboration d’un plan régional de réduction des émissions de gaz à effet de serre pour la Gaspésie

L’objectif de ce projet de recherche est de développer une approche permettant de cibler les principaux secteurs
responsables des émissions de GES de la région de la Gaspésie, et d’identifier des pistes de solution à intégrer
dans un plan d’action régional contre les changements climatiques. L’approche développée pourra être appliquée
à d’autres régions dans le futur. Il est essentiel que chaque région dresse un portrait représentatif de ses
principales sources d’émissions de GES afin de définir des pistes d’action pouvant contribuer efficacement à
l’atteinte des cibles fixées par la province. En plus de permettre une estimation plus précise des émissions de
GES, la prise en compte des spécificités régionales facilitera l’identification des synergies possibles entre les
secteurs économiques en place pour l’élaboration de mesures de réduction d’émissions de GES plus efficaces et
contribuant à la vitalité de la collectivité locale.

View Full Project Description
Faculty Supervisor:

Annie Levasseur

Student:

Partner:

Pôle des technologies propres de la Gaspésie

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

Wireless subsurface soil sensor network

The project will test new data transmitting technology as equipment for measuring such soil physical characteristics as temperature, humidity and CO2. Data transmitted both wirelessly (through the air) and below the soil surface at different depths will be determined. Apart from this, it is expected that measurements from soil freezing and thawing cycles will be recorded and analyzed to learn about the effects of these cycles in other soil processes. It is expected that this new data transmission technology will be applied to various agricultural and environmental projects to allow easier data collection to help in understanding and predicting soil conditions in order to develop more accurate adaptation and resiliency plans.

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Faculty Supervisor:

Viacheslav Adamchuk;Chandra Madramootoo

Student:

Partner:

GroundUp Data Technologies

Discipline:

Engineering

Sector:

Wholesale trade

University:

McGill University

Program:

Accelerate

A review of affordable housing benefits

Ontario, Canada has an extreme lack of affordable housing. This study intends to encourage holistic planning by understanding the community benefits of affordable housing projects. The goal of the project is to create an assessment framework which can be used by municipalities and housing organizations to value the benefits of affordable housing projects. These benefits are categorized as social, environmental, and economic benefits within the community. This framework is being provided to encourage practitioners to efficiently allocate project funding, understand and communicate the benefits of projects, and advocate for additional funding because of the benefits in other areas. UPRC will act as a case study to implement the framework and understand the impact the projects have in the surrounding communities.

View Full Project Description
Faculty Supervisor:

Sean Geobey

Student:

Partner:

United Property Resource Corporation

Discipline:

Sociology

Sector:

Social Innovation; Sustainability & the Environment; Public Service, Policy, and Governance

University:

University of Waterloo

Program:

Accelerate

La collaboration école-famille: Quels effets sur la réussite des garçons et des filles vulnérables à l’entrée à l’école?

Au Québec, 12% des enfants qui entrent à l’école présentent des vulnérabilités sur les plans social ou affectif. Ces enfants, majoritairement des garçons, sont à risque de vivre des difficultés scolaires persistantes, et ce, même s’ils ont de bonnes habiletés cognitives. La collaboration école-famille fait partie des éléments qui peuvent aider ces enfants à bien réussir une fois à l’école. Ce projet vise à déterminer dans quelle mesure la collaboration école-famille contribue à la réussite scolaire des garçons et des filles, dont ceux ayant des vulnérabilités sur les plans social et affectif. Les retombées pour l’organisme partenaire, la Fondation pour les élèves du Centre de services scolaire de la Région-de-Sherbrooke, sont nombreuses. Les résultats du stage permettront d’informer les professionnels enseignants et les parents sur les dimensions du partenariat avec les familles les plus associées à la réussite scolaire, et de les sensibiliser au partenariat école-famille-communauté pour la réussite des enfants.

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Faculty Supervisor:

Gabrielle Garon-Carrier;Martine Poirier

Student:

Partner:

Fondation pour les élèves du Centre de services scolaire de la Région-de-Sherbrooke

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Université de Sherbrooke

Program:

Accelerate

The Economic Impact, Social, and Public Value of MedicAlert Foundation Canada (MAFCA)

In Canada, about 1 in every 3 Canadians has a medical condition, or takes medication, that would be important
to know about in an emergency situation. That’s why, since 1961, Medic Alert Foundation Canada (MAFCA) has
helped to protect over 1 million Canadians by helping first responders and healthcare providers get access to
health information quickly. However, though the work of MAFCA is undoubtedly important, we do not yet
understand the full impact or value of this work. For this reason, to fully realize the benefits of MAFCA to
Canadians, this research project will seek to evaluate the economic impact of MAFCA’s work as well as the extent
of public value for MAFCA. Through this research, we believe that MAFCA will be better equipped to help expand
the MAFCA program to more Canadians.

View Full Project Description
Faculty Supervisor:

Andrew Papadopoulos

Student:

Partner:

Canadian Medic-Alert Foundation Inc.

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

University of Guelph

Program:

Accelerate

Chaire de recherche industrielle dans les collèges du CRSNG en fabrication de composantes aérospatiales en matériaux composites

Ce projet est lié à la Chaire de recherche industrielle du CRSNG en fabrication de composantes aérospatiales en matériaux composites (AéroComp). Les nouveaux marchés aéronautiques, la mobilité urbaine et la conjoncture actuelle présentent des perspectives d’évolution à l’industrie des matériaux composites pour l’aérospatial. La compétition internationale est grandissante et cette industrie canadienne enracinée au Québec doit s’adapter aux exigences économiques et écologiques afin de tirer avantage des retombées qu’elle engendre. Les nouveaux procédés et matériaux avancés ainsi que l’automatisation offrent des débouchés intéressants pour ce secteur majeur d’activités.
Le présent projet vise à soutenir l’industrie aérospatiale locale liée aux matériaux composites par le biais des objectifs suivants : 1-Développement des procédés et matériaux avancés, 2-Accompagnement à tous les niveaux de la chaîne des valeurs « composites » et 3-Formation de main-d’œuvre hautement qualifiée assurant une relève au sein de cette industrie. Les travaux de recherche appliquée porteront sur les procédés précédant le moulage (pré-moulage), les matériaux et procédés de moulage ainsi que les étapes post-moulage.

View Full Project Description
Faculty Supervisor:

Simon Joncas

Student:

Partner:

Centre technologique en aérospatiale

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

Designing appropriate credit risk model for big data via cloud computing

Business industries are either experiencing or expected to face the challenge of big data. Big data brings trouble to traditional data mining algorithms. Building a machine learning credit scoring algorithm under the big data scenario, offers ATB financial the framework which improve the efficiency and the running speed compared with traditional data mining algorithms, especially when the training data set is very large. Such an algorithm designed for big data will ultimately help ATB to have a better connection with customers due to the faster speed of algorithm decision. Moreover, the proposed algorithm in this proposal also offers ATB the way to improve the models’ real-time capability by considering data flowing.

View Full Project Description
Faculty Supervisor:

Bei Jiang

Student:

Partner:

ATB Financial

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

University of Alberta

Program:

Accelerate

An Online, Authenticated and Verifiable, Community News Platform using Blockchain

This project hopes to offer a new experience to the way people engage and consume video news on social media. By taking a community reporting approach to video sharing, validation and incentivization, this project wants to offer an online news platform with the means to not only validate and verify video news before and while it spreads on social media=.
The proposed system is not just a stand-alone platform but will work to support existing social media platforms. Our goal is in two parts. First, it will handle and service community users with a crypto-based incentivization program to verify, validate and post local eyewitness news. Second, it will cross-reference community posts with those on social media (and internally) to establish the validity of videos and the authenticity of the event associated with them.

View Full Project Description
Faculty Supervisor:

Ali Miri;Saeed Samet

Student:

Partner:

InSite Softwares Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Toronto Metropolitan University

Program:

Accelerate

Scale of the Universal Access Needs Around Central Bank Digital Currency

Online banking and cashless payment options are seemingly everywhere but remain difficult or inaccessible to many Canadians. Much is already known for how to make these systems work better for a broader range of citizens, but this know-how is spread across many documents and reports, limiting its ability to guide the design of new systems. This research bringing together statistics and findings from the state of the art. It will provide a detailed summary of the accessibility needs of different groups of users, including among others, people with disabilities and those with limited access to computing systems. These findings will provide breakdowns on the number of Canadians with different types of accessibility concerns, as well as detailed descriptions of what those needs are. This will help inform designers of digital banking tools, both at the Bank of Canada and elsewhere, of universal access priorities for digital banking.

View Full Project Description
Faculty Supervisor:

Karyn Moffatt

Student:

Partner:

Bank of Canada

Discipline:

Computer science

Sector:

Finance and Insurance; Manufacturing; Public administration

University:

McGill University

Program:

Accelerate

Application des outils du Traitement Automatique du Langage à l’étude des variations diastratiques dans le domaine du changement climatique

Le projet a pour objectif de développer une méthodologie qui permette de comparer automatiquement les variations
terminologiques et sémantiques entre deux communautés de discours expertes dans le domaine du changement climatique, en
s’appuyant sur les outils de Traitement Automatique du Langage (TAL). Il vise à éclairer la problématique de l’expertise dans le
domaine du changement climatique en analysant et en mettant en avant les spécificités terminologiques des ONG et des
insitutions onusiennes. La question de la variation terminologique se pose au moment de l’appropriation de cette terminologie
experte par les médias et par le grand public, qui ne sont pas nécessairement au fait des variations du sens d’un même terme et
de la portée idéologique de certains termes propres à une communauté de discours. Il est dès lors crucial de résoudre ce
problème dans la mesure où la conscientisation à la crise climatique et à ses possibles solutions repose en partie sur une
communication efficace dans et entre toutes les sphères de la société, ce qui implique de connaitre et de choisir les mots justes.

View Full Project Description
Faculty Supervisor:

Patrick Drouin

Student:

Partner:

Université Grenoble Alpes

Discipline:

Sociology

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.