Innovative Projects Realized

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

31915 Completed Projects

3006
AB
5256
BC
878
MB
703
NL
913
SK
9488
ON
9950
QC
98
PE
629
NB
1215
NS

Projects by Category

Moderniser les pratiques d’évaluation : la technologie au service de l’interdisciplinarité et du bien-être des enfants

Le présent projet innove en développant et en implantant un système d’évaluation de la fluidité graphique. En faisant appel aux technologies de l’information et à l’intelligence artificielle, le système d’évaluation permettra la saisie, l’analyse et l’interprétation de résultats d’évaluations conduites auprès d’enfants en milieu clinique. Pour ce faire, une version exploitable du Five-Point Test (e-5PT; Strauss & Knapp, 1982) sera développée et validée auprès d’une population âgée de 8 à 11 ans. Ensuite, la complémentarité de cet outil par rapport aux mesures standards (ex. questionnaires) utilisées dans les écoles sera examinée, afin d’aider les professionnels scolaires à mieux cibler et orienter leurs interventions auprès des enfants. Le test numérique e-5PT pourra servir à implanter des services de téléneuropsychologie au Canada et permettre une évaluation à distance (Brearly et al., 2017).

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Faculty Supervisor:

Bruno Gauthier

Student:

Partner:

Fondation TALAN

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Université de Montréal

Program:

Accelerate

Going Beyond RGB-Based Machine Learning Datasets for Digital Agricultural Applications

This project represents the next innovative leap by the TerraByte research group at UWinnipeg and the Enterprise Machine Intelligence and Learning Initiative (EMILI). The focus main thrust of this work is to generate data that will enable machine learning approaches to digital agricultural applications. The data generated from this project includes multispectral, hyperspectral, and 3D data. This data is fundamental to developing machine learning algorithms that require thousands to missions of examples in order to “learn” to perform specific tasks. The main applications that will be driving the data collection in this project are identifying weeds from prairie cash crops (called plant classification), recognizing specific plant traits and characteristics (called phenotyping) and identifying sickly plants (called disease detection). The benefits of this work are immense and include bringing impactful increases in agricultural production and global food security, which is especially important in a post-pandemic era.

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Faculty Supervisor:

Christopher Bidinosti

Student:

Partner:

Enterprise Machine Intelligence and Learning Initiative

Discipline:

Computer science

Sector:

Agriculture

University:

University of Winnipeg

Program:

Accelerate

Developing metal nanoparticle surfaces and the combination of polyionic liquids with nanoparticles as antimicrobial coatings

SARS-CoV-2 has emphasized the need for antimicrobial defenses in our environment. We need to minimize the risk of microbe transfer between people via touching a common surface. This project, led by the University of Windsor and Ontario coatings companies Tessonics and ONTech Rapid Coatings, combines three different strategies to develop a persistent antiviral coating that can be applied to surfaces and that will destroy the virions on contact. It will be safe for human contact, and comfortable to the touch. It could be applied to door handles in public buildings, handles on gas pumps, keypads on payment systems, elevator buttons, electrical switches and other surfaces that are awkward to disinfect constantly and are touched by many people. This is especially useful in public shared spaces such as airports and at large utility companies.

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Faculty Supervisor:

John Trant

Student:

Partner:

Tessonics Inc;OnTech Rapid Coatings Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Windsor

Program:

Accelerate

Transfer learning in a Solar Radiation Forecasting context

This project is part of a larger effort towards the decarbonization of our energy by focussing more on renewable energy (eg. solar, wind). Hydro-Quebec is invested in this effort as it is a major provider of electricity throughout Northeastern America. Many renewable energy sources are highly variable; it is therefore important to be able to predict the behavior of these energy sources ahead of time. The goal of this project is to automate the prediction of solar radiation on the ground, which is a proxy for the amount of photovoltaic energy that can be produced. This will be done using satellite images and deep learning methods.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Hydro-Quebec (Varennes, QC)

Discipline:

Computer science

Sector:

Utilities

University:

Université de Montréal

Program:

Accelerate

UM171 expansion improves the curative attributes of bone marrow stem cell grafts

Hematopoietic stem cells (HSCs) are the parent cells that give rise to all of the different kinds of cells present in blood. Any problems or abnormalities in the different types of blood cells can lead to different type of blood related diseases corresponding to the specific type of cell. Usually, blood cancers also known as leukemias are caused because of the abnormalities. One of the methods of treatment for these leukemias is substituting the diseased cells with the healthy parent cells i.e., HSCs. This process is known as transplantation. HSCs are found majorly in the bone marrow which is the soft fatty layer between the bones. Extracting these cells from the marrow is an intensive process. Our group has previously worked on HSCs that have been grown in dishes from umbilical cord using a chemical called UM171 that has shown to be advantageous on increasing their number without affecting them. This exercise was also done successful and transplanted to patients with leukemia which shows its effectiveness. This project focuses on using a similar approach with a small number of cells taken from the bone marrow and grown in the laboratory for transplantation purposes.

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Faculty Supervisor:

Guy Sauvageau;Claude Perreault

Student:

Partner:

ExCellThera

Discipline:

Life Sciences

Sector:

Agriculture; Health and Related Sciences & Technology; Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Derisking GNSS use in the design of a train autonomy system

Thales Canada, Transportation Solutions has a long history of developing automated train systems. The company has designed a new autonomous train system that contains a Global Navigation Satellite System (GNSS), e.g., GPS, sensor input using corrected GNSS measurements. Thales and York University’s GNSS Laboratory are proposing in this Mitacs Accelerate proposal that one senior doctoral student review the GNSS component of the Thales design, conduct a trade-off study of GNSS use options to refine the requirements and performance, develop a high-level architectural design of the GNSS measurement processing function, and carry-out a safety concept study to confirm that the required safety levels can be attained. This project will then lead to a larger project to develop a prototype GNSS measurement processing function based on these design studies, and then an even larger project to more tightly-integrate the GNSS function into the overall autonomous train solution.

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Faculty Supervisor:

Sunil Bisnath

Student:

Partner:

Thales Canada Inc (North York, ON)

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Transportation and warehousing

University:

York University

Program:

Accelerate

Risk-based Winterization of Assets Operating in Harsh Environments

The proposed project is an extension of an ongoing project with American Bureau of Shipping (ABS), which aims to develop a performance-based winterization guideline for assets operating in harsh environments. The project has led to a novel approach of assessing need of winterization and evaluating extent of winterization required to maintain assets in safe operating condition. The main objective of the proposed project is to further validate the developed approach through a real-world case, i.e., winterization of a ferry operating in offshore Newfoundland and Labrador. The outcome of this project will be useful for ABS to validate and improve the developed risk-based winterization method.

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Faculty Supervisor:

Faisal Khan

Student:

Partner:

American Bureau of Shipping;Petroleum Research Newfoundland & Labrador

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Applying Generative Design to Complete Community Planning

Applying Generative Design to Complete Community Planning brings together growing computational practices in generative design with the urban design challenge of planning and building complete communities using urban data analysis. The concept of complete communities is in part inspired by new urbanism which focuses on human and environmental needs. Transportation modes within a community and the network of access that connect complete communities are critical for their design and success. This Mitacs grant will interact with the larger iCity 2.0 Urban Data Science for Urban Mobility Project of which Autodesk is a significant partner.
Autodesk has successfully used “generative design” to tackle design problems in the automotive, aerospace and consumer goods industries. The computational capacities of Autodesk’s generative design tools will allow data sets relevant to the complete community planning process to be analyzed and multiple scenarios created which can be tested, iterated, validated and implemented. The challenges of designing complete communities can be addressed from a variety of constraints (rules or codes, financial constraints) with amplified consultation from multiple stakeholders. Case studies will provide contemporary challenges and data as will access to a rich data set provided by the iCity 2.0 project and UTTRI at University of Toronto.

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Faculty Supervisor:

Sara Diamond

Student:

Partner:

Autodesk

Discipline:

Computer science

Sector:

Transportation (excluding aerospace); Manufacturing and Construction; Information and Communications Technology

University:

Ontario College of Art & Design University

Program:

Accelerate

Analyse de l’expérience utilisateur d’une application de santé mobile

MedOClock est une application de santé mobile destinée au suivi, à l’organisation et à la communication entre un patient en perte d’autonomie et les membres de son écosystème : médical, familial et institutionnel. La vocation de MedOClock est de faciliter le partage d’informations sur le bénéficiaire, de faire le suivi quotidien du patient, de déléguer et de faciliter la réponse aux urgences qui pourraient survenir. Les utilisateurs de l’application ont accès à une foule de données en temps réel sur l’état de santé du bénéficiaire, le suivi de sa médication, les activités réalisées par les intervenants à son chevet et la prise en charge du bénéficiaire en cas d’urgence telle qu’une chute. Dans ce projet, une évaluation de l’utilisabilité de l’application MedOClock sera réalisée auprès d’aidants principaux, de bénéficiaires et d’aidants secondaires. À la fin du projet, MedOClock aura une interface utilisateur validée et prête pour son adoption par ses utilisateurs cibles.

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Faculty Supervisor:

Philippe Doyon-Poulin

Student:

Partner:

MedOClock

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Information and Communications Technology; Life Sciences (not health)

University:

Polytechnique Montréal

Program:

Accelerate

Building a safe, welcoming, and inclusive environment for Para sport athletes

Rates of participation in sport among Canadians with a disability are low. Children, youth, and adults with a disability are missing out on the social and physical benefits of sport. Lack of programming is a significant barrier to participation. The proposed projects aim to address this barrier. Through a systematic program of research, we will develop evidence-informed resources to 1) support program growth by training more volunteers and encouraging their sustained involvement in the Para sport community and 2) equip organizations with knowledge of how to develop powerchair sport programming within their communities. Together, these projects have potential to grow Canadian Para sport making sport more equitable and inclusive for all Canadians.

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Faculty Supervisor:

Amy Latimer-Cheung;Laura Misener;Laura Misener;Amy Latimer-Cheung

Student:

Partner:

Canadian Paralympic Committee

Discipline:

Sociology

Sector:

Arts, entertainment and recreation

University:

Queen's University; The University of Western Ontario

Program:

Accelerate

Soudage par friction malaxage de l’aluminium appliqué au domaine des ponts : revue de littérature approfondie et proposition d’un plan de recherche

Il est bien connu que certains problèmes inhérents au soudage par fusion des alliages d’aluminium comme le soudage TIG ou le soudage MIG ne se rencontrent pas en soudage par friction malaxage (FSW en anglais). Le FSW permet une soudure à l’état solide qui donne une zone affectée thermiquement moins importante, ayant des propriétés mécaniques plus élevées et une meilleure résistance à la fatigue. Or, la version actuelle de la norme CAN/CSA S6 :19 ne mentionne le FSW qu’à un seul endroit (à l’article 17.25.4.1) et ne donne aucune information sur les propriétés mécaniques et aucune courbe de fatigue; autrement dit, un concepteur doit utiliser les informations relatives au soudage MIG. Donc, il n’y a aucun avantage de faire des assemblages par FSW. La raison de cette absence dans la norme est que le FSW n’a pas été caractérisé pour inclure les informations dans la norme. D’où la motivation de ce projet qui consiste à colliger les informations existences sur ce sujet et proposer un plan de recherche permettant d’intégrer dans la norme les informations et données obtenues.

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Faculty Supervisor:

Ahmed Rahem

Student:

Partner:

AluQuébec

Discipline:

Engineering

Sector:

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

University:

Université du Québec à Chicoutimi

Program:

Accelerate

Matériaux bitumineux recycles à froid pour chaussées municipales

Le projet de recherche proposé ici se concentre sur la formulation de structures de chaussées municipales contenant un fort taux de matériaux recyclés à froid. De plus, en recyclant à froid, on peut construire des chaussées qui respectent les principes du développement durable. Il reste toutefois du travail à faire pour optimiser les formulations de ces matériaux pour leur utilisation en milieu municipal.
L’objectif principal de ce projet est de concevoir des structures de chaussées municipales avec le plus de matériaux recyclés possible et à froid. Plus spécifiquement, le projet est séparé en deux parties, soit une première partie dans laquelle un matériau recyclé à froid pour être utilisé en couche unique sera développé. La deuxième partie se concentrera sur une structure de chaussée conçue avec un enrobé recyclé à froid en couche de base et un enrobé coulé à froid en couche de surface.

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Faculty Supervisor:

Alan Carter

Student:

Partner:

La Société d’Entreprises Générales Pajula Ltée

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

École de technologie supérieure

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.