Innovative Projects Realized

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

31133 Completed Projects

2940
AB
5159
BC
837
MB
685
NL
882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
NS

Projects by Category

Les préjugés corporels, des croyances influencées par la culture?

Lors de mon séjour en Espagne, j’exploiterai les données récoltées par le chercheur David Sanchez-Carracedo lors d’une étude qu’il a réalisée en contexte prépandémique. Par le biais d’analyses et en me basant sur la littérature existante au Canada ainsi qu’en Espagne, je comparerai ces données avec celles que me procure ma directrice de recherche actuelle Marie-Pierre Gagnon-Girouard de l’Université du Québec à Trois-Rivières. L’objectif de mon stage de recherche serait donc de réaliser un article comparatif interculturel en tant que première auteure sur les préjugés corporels entretenus par les adolescents canadiens et espagnols de 14 à 17 ans en contexte prépandémique. En résumé, j’étudierai l’association entre la perception des adolescents envers les personnes grosses en m’intéressant à l’effet modérateur de la culture.

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Faculty Supervisor:

Marie-Pierre Gagnon-Girouard

Student:

Partner:

Universitat Autònoma de Barcelona

Discipline:

Sociology

Sector:

Education

University:

Université du Québec à Trois-Rivières

Program:

Globalink Research Award

CFD Modeling and Unsteady Physics of Two-phase Flow in Aero-Engine Bearing Chamber

The primary role of the lubrication system of aero-engines is to remove the excess heat generated by the movement of the bearings, gears and shafts. An aircraft engine has bearing chambers to contain the oil used for lubrication and excess heat removal. Inefficient scavenging of the oil out of the bearing chamber can result in overheating of the bearing chamber parts. A better understanding of the flow phenomena of the air and oil mixture in the bearing chamber can allow better chamber design and bearing controls to avoid overheating by scavenging the oil out efficiently. This research project will computationally produce both 2D and 3D models of the flow phenomena of the air-oil mixture within a bearing chamber. Results from this research will be used to propose operational conditions and geometries of an aero-engine bearing chamber to optimize the lubrication system with minimal oil consumption.

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Faculty Supervisor:

Dominic Groulx

Student:

Partner:

Pratt & Whitney Canada

Discipline:

Engineering

Sector:

Aerospace; Sustainability & the Environment; Transportation (excluding aerospace)

University:

Dalhousie University

Program:

Accelerate

Recyclage de la fibre de verre utilisée dans la fabrication des pales d’éoliennes

La compagnie LM Wind Power est l’un des leaders mondiaux dans la fabrication de pales d’éoliennes et produit plus de 13 000 pales par an. Celles-ci sont composées en majeure partie de fibres de verre, d’un polymère thermodurcissable et dans certains cas, de fibres de carbone. En plus du défi bien connu du recyclage des pales en fin de vie (qui prennent aujourd’hui le chemin des sites d’enfouissement), un autre problème moins bien connu mais tout aussi important existe, soit la valorisation des rebuts de production. Dans ce contexte, ce projet vise à développer une façon de recycler les rebuts de fibres de verre produits pendant le cycle de fabrication des pales. L’idée consiste à broyer les rebuts de fibres de verre et utiliser ensuite les fibres discontinues dans des procédés comme le « spray-up » ou la fabrication additive. La valorisation des rebuts de production permettra de réduire les volumes d’enfouissement.

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Faculty Supervisor:

Martine Dube

Student:

Partner:

LM Wind Power Blades (Canada) Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

École de technologie supérieure

Program:

Accelerate

Development of Spatial Normalization Methods for Ventilation-Perfusion Scintigraphic Images

Ventilation-perfusion (V/Q) scintigraphy has a major role to play in the diagnosis of pulmonary embolism (PE). V/Q scintigraphy rather helps infer the presence of PE based on compromised perfusion of the occluded segmental and sub-segmental pulmonary arteries. Therefore, expert knowledge of the bronchopulmonary segmental anatomy on the various 2D planar projections of the lung and also in 3D for single photon emission computed tomography (SPECT) acquisitions is essential. However, due to the present-day under-utilization of V/Q scintigraphy, the art of reading V/Q studies may be reduced, leading to decreased diagnostic accuracy and confidence. One way to help with interpretation is to map patient-specific V/Q images to “templates” where the segmental anatomy is outlined. The objective of this research project is to use existing pulmonary anatomy templates and create new ones in order to develop methods for performing spatial normalization of individual patient data and thus mapping of V/Q findings to segmental anatomy. These tools are intended to increase the value of V/Q scans as a nuclear medicine procedure and promote its use by facilitating workflow and interpretation.

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Faculty Supervisor:

Ran Klein

Student:

Partner:

Jubilant Radiopharma

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Ottawa

Program:

Accelerate

Fraud Detection in Derivatives Market using Generative Adversarial Networks

In the last few years, a high increase in the interest of traders and investors towards financial instruments directly led to an important augmentation of the information received daily by exchanges. Exchange regulators, who constantly monitor markets to unveil potential infractions, traditionally perform their investigation manually and the notable growth in market activity represents an important risk of fraudulent events going unnoticed. In response to that new reality, exchanges around the globe are establishing automated surveillance systems that track market activity. In this project, we set out to design new artificial intelligence algorithms that will detect anything in the Montreal exchange’s market that seems abnormal or fraudulent in the market data, so that analysts can focus on these alerts. Such a system could potentially detect fraudulent cases that are currently going unnoticed, while drastically reducing human costs and validation time.

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Faculty Supervisor:

Manuel Morales

Student:

Partner:

Bourse de Montréal

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

Université de Montréal

Program:

Accelerate

Études d’effecteurs de la rouille du peuplier

La rouille du peuplier fait des ravages au Canada mais encore plus en France. La biologie de cette maladie causée par un champignon basidomycète est assez incomprise, néanmoins nous avons identifié un groupe d’effecteurs ciblant tous le chloroplaste, et certains de ceux-ci affectent fortement la susceptibilté de la plante au pathogène. Une meilleure compréhension de ce mécanisme serait la première étape permettant de développer des plantes plus résistantes afin de protéger les plantations candiennes et françaises.

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Faculty Supervisor:

Hugo Germain

Student:

Partner:

Université de La Rochelle

Discipline:

Life Sciences

Sector:

Education

University:

Université du Québec à Trois-Rivières

Program:

Globalink Research Award

La brigade débarcadère: mieux accompagner nos élèves vers la sécurité routière

Le présent projet a pour objectif d’évaluer les impacts de l’implantation d’une brigade débarcadère aux abords d’écoles primaire sur la sécurité routière des élèves qui les fréquentent. Par l’utilisation d’observations sur le terrain à l’aide de grilles d’évaluation, l’équipe de recherche pourra mesurer les effets de telles brigades sur les comportements routiers aux abords des écoles et, plus précisément, sur l’adoption de mode de transport actif. Le tout permettra l’identification des conditions préalables requises pour l’implantation de telles brigades pour les écoles désireuses de déployer celles-ci.

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Faculty Supervisor:

Martin Lavallière;Marie-Soleil Cloutier;Marie-Soleil Cloutier;Martin Lavallière

Student:

Partner:

Fondation CAA-Québec

Discipline:

Sociology

Sector:

Other services (except public administration); Transportation and warehousing

University:

Université du Québec : Institut national de la recherche scientifique; Université du Québec à Chicoutimi

Program:

Accelerate

Development of a topical pain mitigating product for severe hoof lesions in cattle

Lameness is one of the top welfare problems in dairy cattle and is often caused by hoof lesions. The aim of the current project is to develop and validate the use of a topical pain mitigating product to provide analgesia to cattle undergoing hoof-trimming with severe hoof horn lesions. To achieve this objective a topical lidocaine-based product will be formulated and tested for its pain mitigation effects in lame dairy cows affected by painful hoof horn lesions. The expected benefits of this project are the creation of an additional tool to help improve cattle welfare and, for the partner organization, independent scientific proofs of their product efficacy.

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Faculty Supervisor:

Marianne Villettaz-Robichaud;André Desrochers

Student:

Partner:

Solvet Animal Health

Discipline:

Life Sciences

Sector:

Agriculture and Food; Health and Related Sciences & Technology

University:

Université de Montréal

Program:

Accelerate

Évaluation de la prise en charge des spasmes infantiles

Les spasmes infantiles constituent un syndrome épileptique unique à la petite enfance, caractérisé par des spasmes généralisés
avec une régression neurodéveloppementale. Lorsque les spasmes épileptiques résistent aux traitements médicamenteux, des
approches chirurgicales doivent être envisagées. Il y a une pénurie de données sur (1) qui sont les candidats idéaux, (2) quand
les patients devraient être considérés pour une chirurgie et (3) comment le traitement chirurgical se compare aux divers
traitements pharmacologiques en termes d’efficacité et de risques. Nous cherchons à (1) identifier les résultats (absence de crise,
qualité de vie liée à la santé) chez les patients atteints de spasmes infantiles traités pharmacologiquement et chirurgicalement.

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Faculty Supervisor:

Alexander Weil

Student:

Partner:

Université de Lausanne

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

Université de Montréal

Program:

Globalink Research Award

BrokerAID Risk Assessment Automation System

This project focuses on developing UW InsureTech’s deep learning product to help the broker to optimize their current clients’ group and also help them to predict the potential risk and cost-benefit values. This service will help brokers to give better service to their target customers, monitoring the risks involved. Brokers can do more upsell and cross-sell on high-value customers to earn more profit. Planning alternative strategies for the low-value customers, who will cost brokers a lot of time without generating any profit. The system predicted results will be valuable to both brokers and the insurance company, delivering client-based services.

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Faculty Supervisor:

Irene Cheng

Student:

Partner:

UW InsureTech

Discipline:

Computer science

Sector:

Finance and Insurance

University:

University of Alberta

Program:

Accelerate

Design and Characterization of a Universal Sample Introduction System for Direct Analysis of Solid and Liquid Samples with ICP-MS

A universal sample introduction system will be developed in this project for direct analysis of solid and liquid samples with inductively coupled plasma mass spectrometry (ICP-MS). There are many applications in which on-site analysis of samples in their original form is of great interest. Examples include the inspection of soil for possible contamination in the environmental applications, or analysis of ores for discovery and excavation of critical metals and minerals for battery and electronic industries. Currently, the ICP-MS technology is limited to lab-based applications only and involves cumbersome sample preparation procedures. The new sample introduction system will enable, for the first time, in-field analysis of solid samples with ICP-MS by significantly simplifying the workflow and sample preparation steps, while shortening analysis turnaround, improving accuracy, and minimizing the loss of sample.

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Faculty Supervisor:

Ali Dolatabadi;Javad Mostaghimi

Student:

Partner:

Kimia Analytics Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Predicting readmission and recovery rates of psychiatry patients in mental health facilities within Canada: A machine learning approach

Hospital readmission from in-patient psychiatry is increasingly problematic for patients and care administrators, as they often are associated with poor clinical outcomes and higher care costs. An understanding of factors that predispose in-patient psychiatry patients to hospital readmission would be critical in improving patient care and reducing healthcare-related costs.
My research proposes to use machine learning methods to determine factors predictive of hospital readmission among in-patient psychiatry patients. Machine learning techniques are increasingly useful in healthcare delivery because of the advantage they have over traditional analytic techniques.
Developing machine learning pipelines related to this project will allow me to obtain practical knowledge both in the public health field and artificial intelligence research areas. This research project will also enhance the establishment of collaboration between my home advisor and the University of Waterloo, enabling access to existing academic sources, datasets, and computational resources.

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Faculty Supervisor:

John P. Hirdes

Student:

Partner:

National Technical University of Ukraine

Discipline:

Sociology

Sector:

Artificial Intelligence; Health and Related Sciences & Technology

University:

University of Waterloo

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.