Innovative Projects Realized

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

31620 Completed Projects

2978
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5221
BC
856
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696
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899
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9419
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9858
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98
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619
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1192
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Projects by Category

Analysis of a centrifugal fan designed for a Thrust Cushion Vehicle

The fan assembly is a critical component of a Thrust Cushion Vehicle (TCV) designed by Slipstream Vehicles Ltd. It provides both the lift and thrust for the TCV. However, given the novelty of the patented fan, there is insufficient data to predict the fan performance. This project will focus on development of a new set of numerical fan models for estimation and analysis of the fan performance. Once these models shown to be valid through comparison to field data, they will be used to scale up the fan performance and for optimization studies. The expected outcome of this project will be a valuable industrial contribution with unique features that will help Slipstream Vehicles Ltd. to rapidly refine this new fan design and improve performance.

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Faculty Supervisor:

Sander Calisal

Student:

Partner:

Slipstream Vehicles Ltd

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

High-throughput linguistic content comparison and sentiment analysis

Scrawlr is a platform for unconstrained, global interaction with all internet content and users. Scrawlr allows for user evaluation and unconstrained classification of any Scrawlr-hosted or non-Scrawlr content. For non-Scrawlr content, this evaluation and classification allowance will be first at the URL level but will subsequently be provided at the individual content component level. Scrawlr will require the capacity to, in multiple languages, identify equivalent and similar content. This will enable a number of key internal functions, including rapid detection of spam, identification of trending topics in multiple languages, and the automatic identification of plagiarism in multiple languages. Scrawlr also intends to provide automated sentiment analysis of the contents. This requires expansion in capacity related to high-throughput multi-language sentiment analysis and classification. This will enable several key internal functions including determination of sentiment in multiple languages and comparison of this sentiment in relation to evaluation and classification metrics. This research project is a critical aspect for the company to ensure automated protection of unique content on its platform, and in particular content that is protected content, from duplication and reproduction.

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Faculty Supervisor:

Fatemeh Hendijani Fard;Nick Koudas

Student:

Partner:

Scrawlr Development Inc.

Discipline:

Computer science

Sector:

Agriculture; Information and cultural industries; Professional, scientific and technical services

University:

The University of British Columbia - Okanagan; University of Toronto

Program:

Accelerate

Dans leurs souliers : Expériences maternelles de femmes outaouaises monoparentales

Le projet de recherche examine l’expérience maternelle des femmes marginalisées dans la région d’Ottawa-Gatineau. En collaboration étroite avec le Centre espoir Sophie et ses utilisatrices, nous nous pencherons sur les besoins des mères monoparentales en soutien matériel, social et psychologique, leur utilisation des services communautaires de santé mentale, les barrières à l’utilisation de ces services, ainsi que les facteurs liés à leur résilience. Ceci appuiera l’organisme partenaire dans sa mission d’offrir des services qui sont adaptés aux besoins de ses utilisatrices. La collecte de données se fera par l’entremise d’entretiens semi-dirigés et de la technique Photovoice, dans laquelle les participantes documentent leur réalité à l’aide d’une caméra et la partagent afin d’avoir une voix active dans le développement, l’interprétation et la dissémination des connaissances à leur endroit.

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Faculty Supervisor:

Julie Gosselin

Student:

Partner:

Mental Health Research Canada;Centre espoir Sophie

Discipline:

Sociology

Sector:

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

University:

Université du Québec en Outaouais

Program:

Accelerate

Co-developing a Bio-cultural Framework for Fish Habitat and Water Assessment with Lower Fraser First Nations

In partnership with the First Nations Fisheries Legacy Fund and their partner First Nations, Katzie, Kwantlen, Kwikwetlem, Musqueam, Tsleil-Waututh, and Tsawwassen, the proposed interns aim to develop a framework of aquatic health indicators that are identified and shaped by cultural values and priorities laid out by the involved First Nations in the Lower Fraser River Region. Through relationship building exercises including interviews, workshops, and field site visits to assess culturally important locations and indicators of aquatic health, the interns will build a ‘bio-cultural’ indicator framework, which will then be implemented at pilot sites in the Lower Fraser Region in conjunction with the above partner First Nations. In bringing First Nations priorities to the fore, the proposed project has important implications for Indigenous engagement in aquatic resource management and creation of increased agency of First Nations and their cultural traditions and practices in land and resource monitoring and management.

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Faculty Supervisor:

Andrea Reid

Student:

Partner:

First Nations Fisheries Legacy Fund

Discipline:

Earth science

Sector:

Other services (except public administration)

University:

The University of British Columbia

Program:

Accelerate

ChrysaLabs : Prédiction du rendement agricole

ChrysaLabs développe des solutions technologiques innovantes pour améliorer l’intégration des connaissances sur la santé et la fertilité du sol dans les pratiques agricoles. L’un des défis les plus importants dans l’amélioration des pratiques agricoles est de comprendre l’impact des changements de pratiques sur l’amélioration du rendement et sur l’environnement. L’objectif de ce projet est de développer un modèle d’apprentissage machine permettant de prédire le rendement agricole d’un champ en fonction de différentes informations concernant l’historique du champ, du choix des semences et des engrais appliqués et en fonction de conditions environnementales. Ce modèle permettra aux producteurs de prendre des décisions plus éclairées pour améliorer leur rendement agricole.

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Faculty Supervisor:

Christian Gagné;Thierry Badard

Student:

Partner:

ChrysaLabs

Discipline:

Computer science

Sector:

Manufacturing

University:

Université Laval

Program:

Accelerate

Réalisation d’une frise chrono-systémique de la vulnérabilité aux aléas côtiers du Pays bigouden (France)

Ce stage s’insère dans le cadre du projet de recherche ARICO : Co-construction de scénarios d’Adaptation des territoires maritimes aux RIsques COtiers dans un contexte de changements climatiques en France et au Québec. Le stage visera à proposer une méthodologie pour construire des frises chrono-systémiques de vulnérabilité adaptée pour les territoires québécois et français soumis aux aléas côtiers auprès d’une équipe spécialiste de la question en France. Cet outil original permettra d’analyser les trajectoires de la vulnérabilité et les facteurs les influençant. Il sera testé dans le sud du Pays Bigouden (Bretagne, France), mais la méthodologie sera transposable au territoire québécois. Au final, ce stage permettra la création d’un outil à la fois utile pour mieux appréhender la vulnérabilité et les capacités d’adaptation des populations et des territoires soumis aux risques côtiers, mais permettant également de sensibiliser les acteurs du territoire (élus, gestionnaires, habitants) sur ces questions, favorisant ainsi leur résilience.

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Faculty Supervisor:

Guillaume Marie

Student:

Partner:

Université de Bretagne Occidentale

Discipline:

Sociology

Sector:

Sustainability & the Environment

University:

Université du Québec à Rimouski

Program:

Globalink Research Award

Modelling the Non-Condensable Gas (NCG) in SAGD infill wells– Part 1

In the last decade optimization is expanded in many applications from food production to sophisticated applications such as engine fuel efficiency. In the proposed package, it is tried to apply optimization techniques along with physics based analytical and semi-analytical methodologies to create a compelling framework which can help thermal-process based oil industry to reduce their GHG and also better evaluate their CAPEX. Many SAGD projects are overspent on their facilities due to under prediction or overprediction of their oil production expectations. this package will help operators to predict their expectations and improve their predictions as more inputs are provided such 4D seismic, temperature and pressure observation wells, production data, and geological characterization.

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Faculty Supervisor:

Hassan Hassanzadeh

Student:

Partner:

Ashaw Energy

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Évaluation du potentiel des pratiques agroforestières en milieu agricole au Québec pour l’augmentation des fonctionnalités écologiques : vers la restauration intégrée des paysages forestiers pour lutter contre les changements climatiques

Le projet proposé vise à évaluer le potentiel écologique et économique de l’agroforesterie en milieu agricole au Québec à travers le concept de de restauration intégrée des paysages forestiers. L’intégration des pratiques agroforestières permettent d’améliorer la résilience des territoires agricoles et de lutter contre les changements climatiques. Ce projet comporte deux volets et vise (1) par l’emploi de méthodes de télédétection et d’analyse spatiale, à déterminer les territoires qui démontrent un potentiel de restauration des paysages naturels, notamment par les pratiques agroforestières; et (2) par des méthodes d’enquêtes auprès des acteurs du milieu, à évaluer la faisabilité socioéconomique de la diffusion des pratiques agroforestières en territoire agricole. Ultimement, ce projet vise à inciter les propriétaires fonciers à adopter certaines pratiques agroforestières et à favoriser la restauration des paysages forestiers, de façon à augmenter la résilience de leurs pratiques agricoles et les bénéfices écologiques pour l’ensemble de la société.

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Faculty Supervisor:

Richard Fournier;Jean-François Bissonnette;Nathalie Gravel

Student:

Partner:

Viridis Terra Innovations;Centre d'enseignement et de recherche en foresterie de Sainte-Foy inc

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke; Université Laval

Program:

Accelerate

The Literary Economy of Migration in Postcolonial E-fraud Literature

The project examines internet fraud as a practice engaged in by individuals who are economically disadvantaged, are unable to find regular jobs, and are not able to migrate to developed countries where work might be found, often because of border restrictions that exclude them. It proposes to study how literary writers have been thinking about internet fraud, considering the fact that many of them, like e-fraudsters, are dependent on global circulation and a foreign readership of their works which cross borders without them necessarily needing to travel. This global intersection of migration and internet fraud is explored using a novel and two short stories from Africa: Adaobi Tricia Nwaubani’s I Do Not Come to You by Chance (2009), Petina Gappah’s ‘Our Man in Geneva Wins a Million Euros’ (2009) and Sefi Attah’s ‘Yahoo Yahoo’ (2010). These texts demonstrate how writers have been thinking about the economy of internet fraud, and how literary expressions of internet fraud constitute recent responses to the longstanding disenfranchisement of people from the Global South.

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Faculty Supervisor:

Karen Schwartz;Sarah Brouillette

Student:

Partner:

University of Bristol

Discipline:

Sociology

Sector:

New and Digital Media; Education; Public Service, Policy, and Governance

University:

Carleton University

Program:

Globalink Research Award

Umaneo : Identifier les requis d’un appel d’offres

L’objectif de ce stage est de développer une méthode et un prototype pour le repérage automatique des requis dans des appels d’offre par apprentissage automatique avec un réseau de neurones. Les données proviendront d’une banque d’appels d’offres du gouvernement fédéral. Dans un premier temps, le travail sera réalisé avec des appels d’offres en anglais, mais le site du gouvernement fédéral permet également de récupérer la version française de chaque document, ce qui pourrait être intéressant dans le futur. Grâce à l’implémentation de Word2Vec dans la librairie Gensim [25], une analyse sémantique latente (latent semantic analysis) des mots sera faite [20]. Il s’agit ici d’examiner les relations reliées au contexte plutôt qu’à la synonymie ou à l’hyperonymie. Ces relations peuvent être extraites à partir d’un grand corpus de textes. Un modèle Word2Vec sera donc entraîné sur l’ensemble des documents pour identifier les mots qui apparaissent souvent dans un contexte similaire. Cela permettra de créer un dictionnaire avec des relations entre les mots qui sera ensuite utilisé pour la production automatique de règles et l’entraînement d’un réseau de neurones. La base de données lexicales WordNet [27] sera également utilisée dans les mêmes fins que Word2Vec.

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Faculty Supervisor:

Christian Gagné;Luc Lamontagne

Student:

Partner:

Umaneo

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Speeding up Federated Learning Convergence using Transfer Learning

The recent advances in machine learning based on deep neural networks, coupled with the availability of phenomenal storage capacity, are transforming the industrial landscape. However, these novel machine learning approaches are known to be data hungry, as they need to tune a huge number of parameters in order to perform well. As more and more AI based applications are being deployed to learn from personal data, privacy concerns are rising, and more specifically on sensible domains like medicine, finance or mobile related data. With the ubiquitous availability of cloud-based solutions at a very low price, privacy has now become even more sensitive.
To overcome these issues, collaborative frameworks such as Federated Learning (FL) recently emerged and are accepted as realistic and adoptable solutions by healthcare practitioners. In a FL setup, actors locally learn a model on their private data and share the model only to a server in charge of aggregating the extracted knowledge.
If the first proofs of concept show very promising results, some challenges still remain in the medical domain where population drift from one hospital to the other is an identified phenomenon, and where the data dimensionality makes local knowledge extraction difficult.

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Faculty Supervisor:

Stan Matwin

Student:

Partner:

Imagia

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Improving Coordination between EngineeringDepartments through Process Mapping andAnalysis

The objective of the proposed project is to map all engineering processes involved in aeroelasticity calculations at Bombardier Aerospace and develop methods for holistic analysis and improvement of the aeroelasticity process, for the sake of performing better overall improvements and more realistic quantitative validations of those improvements. Existing methods and techniques for process mapping will be considered to develop a process framework which will be adapted to perform analysis and provide improvements to the process. Analysis techniques will be applied to detect redundant, duplicated or misaligned process activities. Results will provide means to assess and evaluate the discrepancies between the actual and desired processes. Solutions will be developed to reduce these discrepancies to obtain a smoother, leaner and faster process. The process map to be built consolidates different viewpoints of the process and the engineering knowledge to reflect the interdependencies and the information flow throughout the process.

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Faculty Supervisor:

Vince Thomson

Student:

Partner:

Bombardier Aerospace Inc (Dorval, QC)

Discipline:

Engineering

Sector:

Manufacturing; Transportation and warehousing

University:

McGill University

Program:

Accelerate

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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.