Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
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8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Development of a Methane Flux Sensor

This project supports development of a laser-based sensor capable of accurately measuring methane releases from oil and gas wells, an important source of greenhouse gas emissions. This sensor will lead to a more accurate understanding of greenhouse gas emissions and enable mitigation actions in the upstream oil and gas industry. This is a critical step in developing effective climate change policy which affects all Canadians. By supporting this project, INO wants to ensure the technological and commercial viability of this important new sensor. Success in these objectives will give Canadian industries rapid access to a state-of-the-art tool enabling them to quantify and reduce methane emissions, which is critical to helping Canada meet its stated commitments to reducing oil and gas sector methane emissions by 40–45% by 2025.

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Faculty Supervisor:

Matthew Johnson

Student:

Partner:

National Optics Institute (QC)

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

Non-state governance of violence: a comparative analysis of two communities in the South Zone of Recife, Brazil

The objective of this project is to compare and analyse the forms of non-state governance of violence
in two poor communities in the southern region of Recife, Northeast Brazil. Although they are close
to each other and have similar structural contexts, each of these communities has specific governance
arrangements with disparate day-to-day consequences. The working hypothesis is that, in contexts of
poverty and inequality and selective action by police organisations, societal patterns emerge that
favour the consolidation of non-state forms of governance of violence. In this way, this project aims to amplify knowledge of violence prevention programmes focusing on the specificities of urban poverty areas.The biggest challenge for the public intervention aimed at in this project to occur, is to directly establish a constructive dialogue between those with institutions of repression and the justice system with the residents of these communities.

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Faculty Supervisor:

Karen Schwartz;Jean Daudelin

Student:

Partner:

Universidade Federal de Pernambuco

Discipline:

Sociology

Sector:

Education

University:

Carleton University

Program:

Globalink Research Award

Different cocaine markets and implemented drug policies in Recife

This investigation aims to discuss possible relationships between internal dynamics of different cocaine markets in Recife and uses of this information in drug policies implemented in the city. Understanding the configurational mechanisms that operate in different cocaine markets, their functionalities, dysfunctionalities and particularities is needed. Then, I must analyse how the existing policies considers the market’s characteristics in order to develop it. There are several forms of marketing and consumption of cocaine. The main ones are “powder” (cocaine), usually snorted and “stone” (crack), smoked. In addition, the “virado”, also smelled, corresponds to an “intermediate type of these two varieties”. The internal dynamics of prices and consumption by different social classes are correlated to the occurrence of violence and the forms of police action. Data will be collected in interviews, observations on the functioning of some of these markets and in documentary research on local drug policies and action strategies.

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Faculty Supervisor:

Karen Schwartz;Jean Daudelin

Student:

Partner:

Universidade Federal de Pernambuco

Discipline:

Sociology

Sector:

Education

University:

Carleton University

Program:

Globalink Research Award

Collection and transcription of a corpus of aphasic speech for the development of a prototype of an intelligent communication aid application

Aphasia is an impairment of language caused by an injury to the brain. Word finding difficulties often accompany aphasia and can persist even after intensive speech therapy, having a negative impact on the person’s social participation and quality of life. Today’s communication aids can improve the ability to effectively communicate but findings from focus groups that we have held show a need for a more intelligent and intuitive communication aid that will better meet individuals’ needs. Our ultimate goal is to develop a prototype of an intelligent communication aid application that will target these unmet needs. However, training the machine learning algorithm that will power such an application will require large quantities of aphasic speech data that are not currently available. In this project, we will begin by collecting a corpus of speech output of people with aphasia. Then we will phonetically transcribe this output. These two forms of the data will then be used to train the prototype that we will de

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Faculty Supervisor:

Gonia Jarema;Eva Kehayia;Eva Kehayia;Gonia Jarema

Student:

Partner:

IBM Canada Ltd;IBM Europe (France)

Discipline:

Life Sciences

Sector:

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

University:

McGill University; Université de Montréal

Program:

Accelerate

Utilisation des techniques d’intelligence artificielle pour améliorer les applications des nouveaux types d’images d’observation de la Terre

Le projet proposé vise à développer des architectures d’apprentissage profond pour analyser divers types d’images d’observation de la Terre utilisées par Effigis. Il est divisé en trois sous-projets, visant chacun un type d’images et d’applications associées. Le premier sous-projet concerne l’identification des bâtiments sur les images satellites à très haute résolution (30 – 50 cm) à l‘aide de réseaux de neurones convolutifs (CNNs) de détection d’objets. Le second sous-projet sera consacré aux images proximales à ultrahaute résolution (millimétrique), qui seront utilisées pour le dépistage des maladies en agriculture. Les CNNs de détection d’objets et de segmentation sémantique seront utilisés à cette fin. Le sous-projet 3 visera les images multitemporelles (Sentinel-2 et Planet) qui seront analysées à l’aide d’architectures qui combinent des CNNs et des RNNs (réseaux de neurones récurrents) pour capter l’information spatio-temporelles sur les séries d’images. Les algorithmes développés seront intégrés aux processus de production d’Effigis afin de l’aider à rehausser sa compétitivité.

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Faculty Supervisor:

Yacine Bouroubi

Student:

Partner:

Effigis Géo-solutions Inc

Discipline:

Earth science

Sector:

Mining; Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Conception d’un outil d’aide à la décision stratégique pour le choix des pratiques et technologies novatrices d’un terminal portuaire intelligent

Le projet vise à concevoir un outil qui aidera les administrations portuaires à faire des choix stratégiques sur les pratiques d’affaires et nouvelles technologies à implanter pour devenir des ports intelligents. L’outil proposera des résultats personnalisés afin de prendre en compte les enjeux actuels et futurs propres à un port. La création de l’outil reposera sur une revue exhaustive de la littérature sur le concept de port intelligent et de sa portée dans les activités portuaires. La contribution d’un groupe d’experts et d’une application sur un cas portuaire réel permettra de valider l’outil. Les résultats du projet serviront de repères à une administration portuaire canadienne dans sa planification stratégique du développement d’un nouveau terminal intelligent qui répondra aux enjeux locaux, notamment en matière de proximité avec la communauté urbaine.

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Faculty Supervisor:

Pascal Forget;Jean-François Audy

Student:

Partner:

Administration portuaire de Trois Rivières

Discipline:

Engineering

Sector:

Transportation and warehousing

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Rapid scaling of viral spike protein production for SARS-CoV-2 testing using Phaeodactylum tricornutum

The SARS-CoV-2 virus is currently causing a pandemic that is overburdening the healthcare system and causing unprecedented economic disruptions on a global scale. A method called serological testing uses viral proteins to determine if the someone has been infected and has now become immune to the virus; however, it is currently very expensive to produce. If someone is known to be immune to SARS-CoV-2, then they can go back to work without spreading the virus.
The goal of the project is to facilitate a rapid test to identify people with immunity to SARS-CoV-2. This project will generate the proteins needed for this test using an alga called Phaeodactylum tricornutum. Most of the people affected do not display symptoms and can spread COVID-19 without even knowing it. Furthermore, identifying people who have been exposed would allow the healthcare system to identify people who can return to work without worry.

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Faculty Supervisor:

Gregory Gloor;David Edgell

Student:

Partner:

Suncor Energy Inc (Sarnia, ON)

Discipline:

Life Sciences

Sector:

Manufacturing

University:

The University of Western Ontario

Program:

Accelerate

Technology portfolio management approach for new biopesticides products

New biopesticides products development usually incurs high cost and high risk for clean tech companies. R&D resource allocation is challenging. There are difficulties with technical/market uncertainty and with evaluating the potential contributions of technological investments to firm specific intangible assets. Technology portfolio management (TPM) is a dynamic decision process in which new development projects are evaluated, selected, and prioritized and R&D resources are allocated across development projects to maximize the value of the portfolio, seek the right balance of
projects, ensure that the portfolio is strategically aligned, and make sure there are not too many projects for limited resources. The intern will design and develop the most appropriate technology portfolio management approach for new biopesticides products. The sponsor organization will adopt this approach for its TPM to demonstrate practical application of the research.

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Faculty Supervisor:

Colleen Collins

Student:

Partner:

SemiosBio Technologies Inc

Discipline:

Business

Sector:

University:

Simon Fraser University

Program:

Accelerate

Cyber-résilience des institutions financières : identification des vulnérabilités et sensibilisation en matière de compromission des identités

Le projet de recherche ci-présent traite de la compromission des identités des clients et des employés au sein du secteur financier et se focalise plus spécifiquement sur trois moyens qui s’y rapportent : l’hameçonnage, le
« credential stuffing » et le « password guessing ». Le projet a comme objectif de prévenir ces cyberattaques par la mise en place de stratégies d’identification et de sécurisation des comptes compromis de même que par l’implantation de stratégies de sensibilisation pour les employés et les clients sur la protection de leurs identités. Les recommandations se basent sur une revue de la littérature grise et scientifique, des entrevues avec 5 à 10 experts de sécurité informatique. L’organisme partenaire aura ainsi un meilleur aperçu de l’enjeu et implantera de meilleures pratiques pour y remédier.

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Faculty Supervisor:

Benoit Dupont

Student:

Partner:

Mouvement des caisses Desjardins

Discipline:

Sociology

Sector:

Other; Technology

University:

Université de Montréal

Program:

Accelerate

Accelerated Time-Stepping for Computational Aerodynamics

The design of next-generation cleaner and quieter aircraft will rely on accurate simulations of turbulent flows. These simulations, referred to as Computational Fluid Dynamics (CFD), are critical in the design of both the external shape of an aircraft, as well as other components such as jet engines and propellers. The industry partner, ANSYS, develops one of the most widely-used CFD solvers – Fluent. The objective of this project will be to develop new time-stepping methods for Fluent specifically for unsteady flow solutions. These time-stepping methods will allow unsteady simulations to be completed faster, with reduced computational cost. Ultimately, this will improve the performance of Fluent and allow it to obtain accurate simulations more quickly for aerospace applications, leading to improved aircraft designs.

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Faculty Supervisor:

Brian Vermeire

Student:

Partner:

ANSYS Canada Ltd.

Discipline:

Engineering

Sector:

Aerospace; Information and Communications Technology; Technology

University:

Concordia University

Program:

Accelerate

Workforce Innovation Through Social Enterprise

Social Enterprise is a catalyst for social and economic empowerment and inclusion, and has been identified as an innovative opportunity to address workforce challenges and economic sustainability in Southwestern Newfoundland. The goal of this project is to facilitate evidence-based research and analysis and to disseminate resources and practical tools which encourages and supports social enterprise growth in Southwestern Newfoundland and Labrador as an innovative tool for addressing workforce challenges, supporting rural sustainability, encouraging small business enterprise, and building a stronger economic foundation for the future.

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Faculty Supervisor:

Roberto Martinez Espineira

Student:

Partner:

Community Education Network for Southwestern Newfoundland Inc

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Memorial University of Newfoundland

Program:

Accelerate

Deciphering the catalyst-ionomer interface in fuel cells: Molecular dynamics simulations of local transport properties – Year two

Polymer electrolyte fuel cells are a key technology in the race against climate challenge, and while commercial applications are increasingly common, challenges remain in cost, performance, and durability. Most of the issues that prevent full commercialization affect the catalyst layer, the region where the power-generating electrochemical reactions take place, like the oxygen reduction reaction. This layer consists of platinum nanoparticles supported on a carbon material and covered by an ion conducting polymer. Resistance to the transport of oxygen molecules to this layer causes loss of efficiency, especially at a lower platinum surface area. Driving the cost of fuel cells lower by reducing platinum loading and achieving high durability for heavy duty automotive markets both result in lower catalyst surface over the product lifetime and require increased robustness to oxygen transport losses. The small scale of the components in the catalyst layer make it a challenge to study experimentally and computational efforts are crucial at understanding the underlying interactions. To this end, we propose developing a computational model based on molecular dynamics of the platinum/carbon/polymer region to rationalize the factors affecting oxygen transport resistance and to propose design improvements that can reduce power losses and costs in next-generation fuel cells.

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Faculty Supervisor:

Erik Kjeang

Student:

Partner:

Ballard Power Systems Inc

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

Simon Fraser University

Program:

Elevate

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