Innovative Projects Realized

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

31132 Completed Projects

2940
AB
5159
BC
837
MB
685
NL
882
SK
9291
ON
9695
QC
97
PE
601
NB
1161
NS

Projects by Category

The effects of isocapnic respiratory muscle endurance training on the multidimensional components and neurophysiological mechanisms of exertional breathlessness in healthy adults

Respiratory muscle training (RMT) is a technique used to strengthen the muscles involved in breathing, aiming to improve breathing efficiency and endurance. While there is evidence that RMT can enhance exercise performance, muscle strength, and reduce breathlessness, there is still debate in the field due to the wide variety of devices and methods used. There are two main types of RMT: respiratory muscle strength training, such as inspiratory muscle training (IMT), which focuses on making the muscles stronger, and respiratory muscle endurance training, like voluntary isocapnic hyperpnea (VIH), which aims to improve muscle endurance. IMT has been well studied, particularly in athletes, but the effects of RMT, especially on the sensation of breathlessness, are still not fully understood. There’s potential for RMT to delay muscle fatigue, make breathing feel less difficult, though limited research has looked into how VIH impacts breathlessness. VIH involves low-force, fast breathing in and out, which is thought to better match the breathing demands of endurance sports like running and cycling. This study aims to explore how VIH affects both respiratory physiology and the multidimensional aspects of breathlessness, using a device called the Isocapnic BreathWayBetter (BWB). This research will provide Isocapnic Technologies Inc. insight of how their product affects breathlessness and could help tailor respiratory training to specific individuals.

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Faculty Supervisor:

Jordan Guenette

Student:

Partner:

Isocapnic Technologies Inc.

Discipline:

Life Sciences

Sector:

Retail trade

University:

The University of British Columbia

Program:

Accelerate

Quantum Marginal Problem: mathematics, physics and computational algorithms 1/4

This project address the so-called Quantum Marginal Problem from a mathematical, physics and computational perspective. It develops the mathematical theory of optimal transport adapt to quantum states in order to make fundamental advances in physical aspects and computational algorithms solving the quantum marginal problem.

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Faculty Supervisor:

Augusto Gerolin;Stefanie Czischek;Anne Broadbent

Student:

Partner:

National University of Kharkiv

Discipline:

Mathematics

Sector:

Quantum Science; Information and Communications Technology (ICT); Artificial Intelligence

University:

University of Ottawa

Program:

Globalink Research Award

Biofilm blocking

Pathogenic biofilms are a major food safety challenge. They are difficult to detect and very difficult to control after they form as biofilms protect bacteria from sanitizers, heat and other stressors that might otherwise be used to control the bacteria. As well, trying to remove the biofilm may break off chunks of biofilm which can either contaminate the food or start a new biofilm at another location in the food processing facility. This project is going to investigate the use of non-toxic quorum-sensing inhibitors (QSI) for preventing the incorporation of pathogenic E. coli into multi-species biofilms. Quorum sensing is bacterial communication and essential for biofilm formation. We will evaluate the quantity of biofilm produced before and after treatment with QSI using crystal violet assay. We will look at changes in structure of the biofilm after treatment with QSI using scanning electron microscopy. We will enumerate numbers of pathogenic E. coli present in biofilm before and after treatment with QSI. Finally, we will sequence RNA produced by the biofilm-forming bacteria before and after treatment with QSI for combinations of QSI and biofilm showing greatest and least inhibition. If QSI can prevent pathogens from incorporating in biofilms, the next step would be to evaluate the use of QSI in slaughter plants as an enhancement to existing hygiene protocols. This project will also give us a better understanding of how biofilms form which is currently poorly understood, especially concerning pathogenic E. coli. QSI could be another major leap forward for food safety.

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Faculty Supervisor:

Kim Stanford

Student:

Partner:

Beef Cattle Research Council

Discipline:

Life Sciences

Sector:

Agriculture

University:

University of Lethbridge

Program:

Elevate

Threats and opportunities for fruit and vegetable supply-chains in BC: A geospatial and survey-based assessment

Climate change is affecting agriculture in Canada in varied and complex ways. While northern areas may experience more favourable conditions for commodity crops, other regions face challenges such as increased temperature variability and extreme weather. Emerging agricultural technologies, including digital agriculture tools, controlled environment agriculture, and advances in agri-genomics, present promising solutions to enhance resilience and sustainability in agri-food systems. However, no single technology is a ‘silver bullet’ for food system sustainability issues, and research is required to better understand opportunities and potential impacts for their implementation. To address this gap, this research project: (1) examines threats and risks of climate change on BC’s fruit and vegetable production using spatial and climate models, (2) identifies opportunities for adopting agri-technologies with climate mitigation potential by surveying producers, and (3) analyzes the potential effects of policy incentives on technology adoption and sustainability outcomes.

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Faculty Supervisor:

Robert Newell;Stefania Pizzirani

Student:

Partner:

i-Open Technologies

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

Royal Roads University

Program:

Accelerate

Enhancing the Accuracy of Digital Twin Simulation with Machine Learning and Predictive Analytics

Manufacturing companies often face challenges like unexpected equipment breakdowns, shifting production needs, and resource shortages or surpluses, which can lead to delays in production schedules. Traditional systems struggle to manage these issues effectively. Our project introduces a better solution using Digital Twin (DT) technology, which creates a real-time digital replica of a factory’s operations. This digital twin helps predict and adapt to changes quickly. With advanced artificial intelligence, we can foresee problems, such as potential machine failures, and adjust plans in advance. This approach will enable our partner, Longterm Technology Services, to provide a more efficient digital solution, enhancing productivity and ensuring smooth operations for its clients.

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Faculty Supervisor:

Bissan Ghaddar

Student:

Partner:

Longterm Technology Services

Discipline:

Engineering

Sector:

Advanced Manufacturing

University:

The University of Western Ontario

Program:

Elevate

Accélération des simulations EMT au moyen de dispositifs GPU

Le projet de recherche vise à exploiter la puissance des unités de traitement graphique (GPU) pour accélérer les simulations des transitoires électromagnétiques (Electromagnetic Transients : EMT) dans les réseaux électriques. Le projet comporte deux volets complémentaires. Dans le premier volet, l’accent est mis sur le développement de simulations EMT hautement performantes sur GPU. Nous explorons les bibliothèques et les méthodes de parallélisation à grain fin et à gros grain les plus appropriées pour cette tâche. Cette phase vise à maximiser l’efficacité de la simulation EMT en exploitant la puissance de calcul parallèle des GPU. Le second volet se concentre sur l’extraction des équations du réseau d’un netlist en format XML. Le projet bénéficie de la disponibilité de la bibliothèque Modelica MSEMT, qui propose une large gamme de modèles de réseaux validés. Nous avons donc pour objectif de développer un traducteur Modelica vers netlist XML, permettant ainsi l’exécution directe des modèles MSEMT sur GPU à l’aide des modules développés lors de la première phase. Cette procédure permettra une intégration transparente et fluide de la modélisation et de la simulation EMT sur dispositifs GPU.

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Faculty Supervisor:

Tarek Ould-Bachir

Student:

Partner:

Hydro-Quebec;Mitacs - Vancouver

Discipline:

Engineering

Sector:

Construction and infrastructure; Professional, scientific and technical services; Utilities

University:

Polytechnique Montréal

Program:

Accelerate

La stratégie anti-rumeurs à Sherbrooke: régionalisation et inclusion en contexte interculturel

Avec la diversification rapide de la société canadienne, les municipalités à travers le Canada sont confrontées à des enjeux qui compromettent leurs capacités de garantir la cohésion sociale et une cohabitation harmonieuse (discours haineux, polarisation dans les débats publics, plaintes sur la discrimination systémique). Nombreuses municipalités (Calgary, Montréal, Winnipeg, Toronto, Vancouver) ont pris position en faveur de la diversité et de l’inclusion et plusieurs ont mis sur pied des politiques de lutte contre la discrimination (voir par exemple Toronto et Montréal), mais souvent ces actions sont limitées à des déclarations et des campagnes de sensibilisation. Au-delà des politiques publiques et campagnes de sensibilisation, les gouvernements locaux sont à la recherche d’outils concrets et de nouvelles méthodologies pour lutter contre les préjugés et réduire les stéréotypes qui mènent à différentes formes d’exclusion. La stratégie anti-rumeurs est reconnue à l’échelle internationale pour son innovation et son efficacité. Sa force réside dans le fait que ce soit une stratégie municipale (ce qui facilite la concertation avec les acteurs du milieu) et qu’elle mobilise des outils de la communication interculturelle interpersonnelle (ce qui permet d’agir directement auprès des citoyens dans différents milieux de vie). La mise en oeuvre de cette stratégie dans une ville “moyenne” comme Sherbrooke pourrait faciliter son utilisation dans d’autres municipalités au Québec

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Faculty Supervisor:

Bob White

Student:

Partner:

Ville de Sherbrooke

Discipline:

Sociology

Sector:

Public administration

University:

Université de Montréal

Program:

Accelerate

Fraud-Centric Merchant Embeddings

Mastercard works with improving and securing payments of millions of cardholders and merchants. One of the primary objectives of Mastercard’s work is to detect and prevent fraudulent payments. There are several ways of committing such fraud, often such fraud can happen due to vulnerability of the merchant to such fraudulent threats and several other underlying factors. The first objective of this project is to get an understanding of what attributes are necessary for modelling this kind of a threat to our cardholders. Our second goal is to find an embedding space of the graph of transactions that preserves those attributes and can be used ny a simple classifier to efficiently determine whether a novel transaction is fraudulent or legitimate, with high accuracy.

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Faculty Supervisor:

Michel Barbeau

Student:

Partner:

Mastercard

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Carleton University

Program:

Elevate

Working Together: Building Community, Access to Birth Certificates, and the Social Determinants of Health

Working Together (WT) is a multi-agency collaborative project supporting frontline organizations affiliated with the Thunder Bay ID Action Group to provide Personal Identification Services (PID) for people who are marginalized and low income. This project employs a community-based action-oriented research approach to better understand the role played by existing ID services in the region and the social costs of living without PID.

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Faculty Supervisor:

Kristin Burnett;Chris Sanders

Student:

Partner:

NorWest

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

Lakehead University

Program:

Accelerate

Influence de données océaniques à haute-résolution pour une perspective de modélisation régionale

Ce projet vise à améliorer notre compréhension des interactions océan-atmosphère dans le golfe et l’estuaire du Saint-Laurent, afin de mieux comprendre, représenter, simuler et s’adapter aux conditions changeantes de l’atmosphère et des océans influençant le climat québécois. Une grande partie du climat du Québec est fortement affectée par les océans qui l’entourent, rendant essentielle la représentation précise des conditions océaniques dans les simulations climatiques. Cependant, cet aspect a été peu étudié à Ouranos. Le Modèle régional canadien du climat (MRCC6-GEM5) n’étant pas couplé, il repose entièrement sur des données d’entrée pour les informations océaniques. Récemment, le groupe de recherche en océanographie d’Environnement et Changement climatique Canada (ECCC) a généré des données océaniques à haute résolution pour le golfe du Saint-Laurent de 1993 à 2018. Pour la première fois, ces données peuvent être utilisées dans des simulations climatiques, permettant d’analyser leur impact avec les données de réanalyse atmosphérique ERA5. La première phase du projet ‘Interactions climat-océans’ vise à quantifier les biais des données de surface d’ERA5 et à évaluer l’effet d’une meilleure représentation des côtes, des glaces et de la température de l’eau.

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Faculty Supervisor:

Bruno Tremblay

Student:

Partner:

Ouranos Inc

Discipline:

Earth science

Sector:

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

University:

McGill University

Program:

Accelerate

Patient to provider AI message drafting in hospital-based outpatient care, a mixed-methods study exploring integration in care and impact

Patients can use secure messages to communicate with their healthcare providers through patient-facing patient portals. While patients like the use of secured messaging, it also increases the workload burden for providers, and as such, providers often do not offer it to patients. With recent years of technological innovation, electronic hospital records software has developed AI-generated email drafting to assist providers in replying to messages, thus minimizing the burden on providers’ workload. In collaboration with outpatient clinics at Women’s College Hospital, we will study the integration of AI message drafting, assess its impact on message volumes and response time, and explore users’ experience with the technology. The study will help the hospital make a decision whether the use of AI message drafting is worth further investment.

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Faculty Supervisor:

Vess Stamenova

Student:

Partner:

Women's College Hospital

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology

University:

Toronto Metropolitan University

Program:

Accelerate

Study of ongoing credit union consolidation in the Manitoba market – Me-Dian Credit Union

Me-Dian Credit Union seeks to investigate the impact of ongoing consolidation of credit unions in Manitoba and the impact on smaller credit unions in the Manitoba market. Ongoing credit union consolidation will have a crucial impact on the organization, but the degree and magnitude are unknown. This project aims to provide Me-Dian with an assessment of the changing competitive landscape and strategic options for navigating it. This would benefit Indigenous financial institutions such as Me-Dian, as well as Indigenous organizations wishing to support them. It would also benefit the underserved members of society that make up the majority of Me-Dian’s members.

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Faculty Supervisor:

Dennis Ng;Hugh Grant

Student:

Partner:

Me-Dian Credit Union

Discipline:

Sociology

Sector:

Finance and Insurance

University:

University of Winnipeg

Program:

Business Strategy Internship

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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.