Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

31 133 projets complétés

2940
AB
5159
C.-B.
837
MB
685
NL
882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
NS

Projets par catégorie

Surface and subsurface damage segmentation using thermography and deep learning

Infrastructure facilities in Canada and many other places worldwide continuously deteriorate. Most structures either reached or exceeded their design service life. Bridges, buildings, roads, and other facilities deteriorate over time. To ensure the safety of these structures, visual inspections are routinely carried out by trained engineers. However, these visual inspections have some critical disadvantages, such as risks to the inspector, and visual inspections are time-consuming and erroneous. This study proposes an artificial intelligence-based method for surface and subsurface damage detection in structures using thermography to solve this issue. The multispectral image data will be used as input to the network to identify structural damage. The method will detect damage with high accuracy at the pixel level in the multispectral dynamic image.

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Superviseur du corps professoral :

Young-jin Cha

Étudiant :

Partenaire :

North Forge

Discipline :

Engineering

Secteur :

Education; Management of companies and enterprises; Professional, scientific and technical services

Université :

University of Manitoba

Programme :

Accelerate

Study the mechanism of action of UM0125461 in acute T cell leukemia (T-ALL)

Acute lymphoblastic leukemia (ALL) is the most common hematological cancer in children. 10 to 15% of pediatric cases are of T cell origin (T-ALL). Current intensive multidrug therapy can achieve high cure rates, yet associated with serious long-term adverse effects, including secondary cancers. Moreover, 15% of children will relapse, facing a poor prognosis. We previously uncovered a new drug using a chemical screen in mouse model of human T-ALL. Unraveling the mechanism of action of this new drug will open novel therapeutic opportunities to treat T-ALL patients.

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Superviseur du corps professoral :

Trang Hoang

Étudiant :

Partenaire :

Université Catholique de Louvain

Discipline :

Life Sciences

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

Sustainable solution to chronic housing needs in the Canadian North

As Canada’s economy and population continue to rise, primarily due to substantial immigration, there is an urgent need for new infrastructure, in particular, in remote regions of Canada. This can be achieved through advanced technologies to improve productivity of the Canadian construction industry while reducing the environmental impact of construction. This project proposes the Self-Deployable and Reconfigurable Structures (SDRS) where a ready-to-install building unit capable of deploying itself without the need for on-site construction machinery or labour. The SDRS unit is folded efficiently for increased mobility in its original configuration, approximately the size of a truck, and then deployed on-site with the aid of a robot preinstalled on the unit. This project is the first phase of a larger research program for the development of the proposed technology where we aim to conceptualize an SDRS unit, develop engineering design and construction guidelines, create three-dimensional models and manufacture a prototype to study the validity and adequacy of the proposed technology.

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Superviseur du corps professoral :

Ali Imanpour

Étudiant :

Partenaire :

North Forge

Discipline :

Engineering

Secteur :

Education; Management of companies and enterprises; Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

A Large-Scale Multi-Dimensional Analysis of Developer Information Needs

Building software systems is a complex task. Teams of developers must gather and exchange large quantities of technical and conceptual information to build reliable systems. This transfer of knowledge is mainly supported by tangible documents that contain information deemed important for different contexts. However, determining what information is important is itself challenging. The importance should be based on the information that developers need. Prior studies have revealed several typical needs, but there is still a considerable variation in the findings of different studies. In this project, we will attempt to reconcile these prior findings to establish a robust, overarching, and actionable framework of developer information needs. We will systematically review the context of prior studies, including the original researchers’ perspective and the context in which developers expressed the needs. We will also attempt to replicate the methodology of prior studies on a larger, heterogeneous data corpus. This investigation will contribute a more holistic understanding of developer needs, to indicate not only what information developer needs, but in which context they need it. The outcome of this research should help improve the quality of software documentation, but also provide a foundation to build a theory of developer needs.

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Superviseur du corps professoral :

Martin Robillard

Étudiant :

Partenaire :

Universität Hamburg

Discipline :

Computer science

Secteur :

Education

Université :

McGill University

Programme :

Globalink Research Award

Consumer Dynamics and Product Evaluation for the Mobile Game Clandestine Anomaly

In partnership with ZenfriInc, this project seeks tofacilitate the successful introductionof a mobile game called Clandestine Anomalyto the mobile game market. Due to the embryonic stage of the mobile game market this research will use primary and secondary research methods to create a market analysis and inform the market strategy. Firstly, this research will provide an understanding of the business environment by analyzing successful products and their marketing strategies along with industry trends and characteristics. Secondly, this researchseeks to understand the psychological needs, goals and motivations of their potential market of consumers and thus, how to create perceived value. Third, this research will integrate the unique strengths and weaknesses of Zenfriinc. into an appropriate strategy based on the insights of the primary and secondary research.The result will be an informedmarket position that is consistent with the value proposition, marketing messages and product design.

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Superviseur du corps professoral :

Kelley Main

Étudiant :

Partenaire :

ZenFri Inc

Discipline :

Business

Secteur :

Arts, entertainment and recreation; Information and cultural industries

Université :

University of Manitoba

Programme :

Accelerate

Partial Discharge Propagation Model for Power Transformer Winding

Transformers are one of the key elements in electric power systems whose health ensures reliable, stable electric power for the economy and society. Partial discharge (PD) is known to be a symptom of defects in electrical insulation systems, such as those employed in transformers. Detection and localization of PD in transformers are critical to develop a mitigation strategy. The main objective of the proposed research is to develop an artificial intelligence model that is able to predict the location of PD in transformers. The industrial partner of this research is PTI Transformers, a world-class transformer manufacturer. The outcome of this research will enable a novel, inexpensive diagnosis method for transformers to prevent catastrophic failures.

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Superviseur du corps professoral :

Behzad Kordi

Étudiant :

Partenaire :

PTI Transformers LP

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Manitoba

Programme :

Accelerate

Création de produits innovants pour le secteur du service-conseil en transformation

Afin de diversifier l’offre de l’entreprise et de répondre aux besoins d’entreprises québécoises d’une nouvelle façon, cz conseil souhaite se lancer dans le développement de produits et outils clés en main innovants pour ses clients. Ces produits viseront à automatiser certains éléments de la livraison des mandats de service-conseil et viendront bonifier l’offre de cz conseil en matière de futur du travail et d’accompagnement dans la gestion du changement dans un contexte postpandémique. La création d’un outil de diagnostic organisationnel automatisé utilisant l’intelligence artificielle a déjà été identifiée comme étant un produit qui offrirait un gain d’efficacité opérationnel important à l’entreprise, mais une vigie du marché sera requise afin de bien cibler les produits les plus pertinents à développer.

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Superviseur du corps professoral :

Olivier Doucet

Étudiant :

Partenaire :

CZ Conseil

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

HEC Montréal

Programme :

Business Strategy Internship

Réingénierie des plateformes de rapports marketing et d’alertes intelligentes de Metrics Watch

Réingénierie des plateformes de rapports marketing et d’alertes intelligentes. Entre autres ajout de nouvelle fonctionnalité quant à l’édition de widgets, mais surtout une toute nouvelle version de l’éditeur de widget de la plateforme.

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Superviseur du corps professoral :

Vincent Morin

Étudiant :

Partenaire :

Observateur des Métriques

Discipline :

Computer science

Secteur :

Management of companies and enterprises

Université :

College d'enseignement General & Professionnel de Jonquiere

Programme :

Business Strategy Internship

Advanced development of ECLS systems

Ecmius Biomedical is a Canadian company that is invested in the research, development, and future production of extracorporeal life support (ECLS) technology, including extracorporeal membrane oxygenation (ECMO). ECMO is an invaluable tool that can support the treatment of adults and children with severe cardiac and/or pulmonary dysfunction, maintaining patient condition until longer-term treatments become available. Functionally, an ECMO device will pump and oxygenate a patient’s blood outside of the body, relieving thus the heart and lungs. If the heart and lungs are beyond recovery, ECMO can support a patient until suitable means of treatment, such as a transplant, becomes available. The main objective of this project is to establish an in-house ex-vivo blood circuit model and laboratory that will be used for the verification and performance optimization of the Ecmius ECMO device. This is an area of priority, as it is an essential step in working towards device approval and commercialization in Canada and internationally. Currently, Canada does not have an indigenous ECLS systems manufacturer. All of the devices used in Canadian hospitals are imported. This means that the relevant technologies and know-how associated with ECLS device manufacturing are absent.

Voir la description complète du projet
Superviseur du corps professoral :

Colin Dalton

Étudiant :

Partenaire :

Ecmius Biomedical

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

University of Calgary

Programme :

Business Strategy Internship

L’utilisation de données de vie réelle (Real-World Data) dans l’industrie pharmaceutique : Au delà du 21st Century Cures Act

L’analyse des données de vie réelle (Real-World Data) pour générer des preuves du monde réel (Real-World Evidence) est une pratique en croissance dans l’industrie pharmaceutique. La loi 21st Century Cures Act, signée en décembre 2016 par le Congrès américain sous l’administration Obama, a amplifié l’engouement pour l’utilisation des données de vie réelle (RWD) dans l’industrie pharmaceutique. Les données de vie réelle (RWD) sont, par définition, l’ensemble des données qui sont récoltées en dehors du contexte des études cliniques randomisées et contrôlées (RCT). Ces données peuvent provenir de dossiers médicaux électroniques, de sondages sur la santé, de registres de patients, d’applications mobiles sur la santé et même des réseaux sociaux. Les preuves du monde réel (Real-World Evidence) servent à générer des connaissances ou des hypothèses de recherche dans de nombreux contextes pharmaceutiques et notamment, lors de la prise de décision de remboursement, le design d’étude clinique, le choix de traitement, le coût attribué à un médicament, l’étiquetage de produit et l’efficacité réelle du traitement chez un patient. Les progrès fulgurants de la recherche en intelligence artificielle promettent à l’industrie d’accroitre considérablement sa capacité analytique en tirant profit des données de vie réelle (RWD), qu’elles soient structurées ou non structurées.

Voir la description complète du projet
Superviseur du corps professoral :

Michelle Savoie

Étudiant :

Partenaire :

Sorintellis

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Business Strategy Internship

The influence of TCR affinity for self-peptide on the quality and stability of CD8+ T cell anergy

T cells are specialized immune cells that protect us against infection and cancer. These cells express a molecule (known as the T cell receptor, or TCR) which recognizes a small portion of foreign or abnormal proteins presented on the surface of infected or cancer cells. The interaction between the TCR and this small protein fragment generally leads to the activation of T cells. A mechanism called tolerance ensures that T cells specific to our own native proteins (self) are either deleted or become unresponsive, preventing T cells from attacking healthy tissues which could lead to the establishment of autoimmune diseases. We hypothesize that T cell tolerance is induced and maintained differently based on how strong a T cell binds to self-protein fragments. Our preliminary data support this hypothesis and also suggest that the function of these tolerant T cells is impacted by regulatory cells, known as Tregs. The overarching goals of this exchange are (1) to further understand how Treg might play a role in the accumulation and function of tolerant T cells and (2) to explore possible molecular mechanisms that might aid in establishing this process.

Voir la description complète du projet
Superviseur du corps professoral :

Heather Melichar

Étudiant :

Partenaire :

Harvard University

Discipline :

Life Sciences

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

IMPLANTATION D’OUTILS ET DE PROCESSUS BASÉS SUR LE OPEN BIM POUR LA PHASE DE CONCEPTION PRÉLIMINAIRE

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Voir la description complète du projet
Superviseur du corps professoral :

Érik Andrew Poirier

Étudiant :

Partenaire :

Lapointe Magne & associés

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

École de technologie supérieure

Programme :

Business Strategy Internship

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Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.