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
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Développement et intégration de modèles prévisionnels de défaillance de machines critiques de sciage par extraction de profils de dégradation

Ce projet vise à démontrer la faisabilité technique et économique de déploiement d’une politique de maintenance axée sur le prévisionnel sur une ligne de production de sciage soigneusement choisie. Sur un horizon de 2 ans, le projet vise à développer, déployer une méthodologie normalisée de mise à niveau pour les scieries afin de migrer du niveau réactif vers une stratégie axée sur des prévisions. Également le projet vise à mesurer les coûts et les bénéfices d’une stratégie de maintenance axée sur des prévisions et finalement livrer à l’industrie du sciage québécois un processus documenté et une interface générique de prédiction des pannes et support de décision pour les responsables de la maintenance pour en faciliter le déploiement. Ce processus pourra ensuite être généralisé et adopté vers d’autres scieries semblables et engagé les scieries dans une direction de maîtrise et d’excellence opérationnelle.

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Faculty Supervisor:

Mohamed-Salah Ouali

Student:

Partner:

FPInnovations (Pointe-Claire, QC)

Discipline:

Engineering

Sector:

Agriculture; Manufacturing; Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Accelerate

Constructing an Integrated Platform that Maps Neighborhood COVID-19 Cases with Census and other Open Data

This project proposes to optimize a map-based web application, which integrates numerous Open Data sets with data on the number of daily cases of COVID-19 in each public health region in Ontario. The platform will be able to merge data from the province’s Integrated Public Health Information System (iPHIS) and offer real time information to government on possible local determinants of the growth in incidence of COVID-19 infections as well as what policies should be employed in arresting the spread of the disease. This will be driven by AI methods that are able to link COVID-19 cases with neighborhood characteristics such as age distribution, population density, occupational distribution, household income, commuting patterns, and density of retail businesses, as well with the presence of lockdown policies and corresponding levels of social mobility captured through Google data. The proposed platform has the potential to make significant policy contributions given the absence of a comparable market product and the current lack of understanding on how COVID-19 is spread within and across communities.The platform is especially relevant given the demand for data on local infections for hotspots and a need for understanding the impact of important determinants.

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Faculty Supervisor:

Anindya Sen

Student:

Partner:

Evantage Media

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

The impacts of human activity and landscape change on Rocky Mountain mammal communities

Gaining an understanding of the interacting impacts of human activity and landscape change on wildlife is an important step towards better understanding how to manage and conserve wild areas. The effects of landscape change on mammal communities have been studied, but interacting disturbances are rarely addressed. In Alberta’s Eastern Rockies, human activity is prevalent in the form of various types of recreation and harvesting activities, and landscape features like cutlines and forestry roads allow people increased access to the landscape. To understand how human activity influences species distributions, we will use camera traps to quantify species’ occurrence across the landscape and human use of trails to assess how human use impacts mammals. We will also assess how mammal occurrence is affected by level of landscape protection (unprotected to protected parks and wilderness areas). Results from this study will help inform better conservation and management of public wilderness spaces.

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Faculty Supervisor:

Jason T Fisher

Student:

Partner:

Yellowstone to Yukon Conservation Initiative

Discipline:

Life Sciences

Sector:

Other services (except public administration)

University:

University of Victoria

Program:

Accelerate

3D Foot Scanner from Single View Smartphone & 3D Shoe Fit Computation

As a global leader of industrial footwear insoles, MegaComfort is actively engaged in developing innovative products to maintain healthy workers and prevent injuries. The goal of this research project is to provide a system that is able to scan a human foot from a single image or sequence of images (video) and be able to see how good of a fit the virtual 3D foot has when presented with a shoe cavity. The first objective of the project is to improve the architecture of the technique and provide viewpoint and operating performance requirements for use. The second objective is to develop algorithms that are able to register the 3D scanned foot point cloud model with a given point cloud shoe cavity model with the added constraint that the foot model should fit into the shoe model

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Faculty Supervisor:

John Zelek

Student:

Partner:

MEGAComfort International Inc.

Discipline:

Engineering

Sector:

Wholesale trade

University:

University of Waterloo

Program:

Accelerate

Development of online rapid cognitive-motor assessment tool to monitor COVID-19-related dysfunction post-discharge

There is recent evidence that surviving COVID-19 (particularly following ventilator use) could result in changes to how well your brain controls functions important for daily living. Currently, however, there are few choices for clinicians to test these functions prior to hospital discharge and at follow-up. This project will develop a web-based cognitive-motor integration assessment tool (e.g., thinking and moving at the same time, important for daily function) that can be used to monitor the integrity of brain networks for higher neurological function. The two-phase project will first develop an existing assessment into one that can be used over the internet. Second, both healthy and post-COVID survivors will use the new web-based tool so that its usability and functionality can be examined and refined. This project will assist individuals and their caregivers in assessing the outcomes and future risks associated with COVID-19 infection- and treatment-caused damage to the central nervous system.

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Faculty Supervisor:

Lauren Sergio;Marin Litoiu

Student:

Partner:

ProPlayAI Inc.

Discipline:

Engineering

Sector:

Information and cultural industries

University:

York University

Program:

Accelerate

COVID-19 : module pharmaceutique pour le développement accéléré de produits désinfectants

Galenit est une plateforme de formulation qui facilite le développement de produits de santé. Dans le cadre de ce projet, Galenit souhaite développer sa plateforme afin d’y intégrer l’aide à la formulation de produits désinfectants. Ce nouveau module permettra de développer plus rapidement de nouveaux produits désinfectants à usage topique pour répondre à la pénurie en cours suite à la pandémie liée au COVID-19.
Le module a pour vocation i) d’utiliser la technologie du machine learning / arbre décisionnel pour trouver et proposer aux chimistes des matières premières alternatives à celle présentement indisponible et ii) de valider en temps réel la conformité réglementaire des formules afin de mettre rapidement en marché des nouveaux produits désinfectants.

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Faculty Supervisor:

Fabio Petrillo

Student:

Partner:

Galenit

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université du Québec à Chicoutimi

Program:

Accelerate

Caractérisation de la dynamique fluviale à court et moyen terme afin de rétablir les processus hydrogéomorphologiques (HGM) pour l’amélioration de l’habitat pour le saumon atlantique

Les rivières au Québec et au Canada ont été perturbées par les activités humaines pendant plusieurs décennies. Ces perturbations (linéarisation, barrages, murets, enrochements…) ont eu comme conséquences de modifier la morphologie et la dynamique de plusieurs cours d’eau. En réponse à ces nouvelles conditions, des changements au niveau des processus hydrogéomorphologiques (HGM) apparaissent dans nos cours d’eau. Les processus HGM font partie des services écosystémiques des cours d’eau, et ce, autant pour l’habitat que pour la sécurité civile. Le projet de recherche se réalisera sur la rivière des Escoumins, où des enrochements, un ancien barrage démantelé (1ere fois au Canada) et des modifications dans le cours d’eau engendrent des déficits sédimentaires par endroit et des surplus ailleurs, diminuant la géodiversité et la qualité de l’habitat pour le saumon et la truite de mer. Le présent projet cherche à mettre en place une stratégie novatrice et globale afin de restaurer les processus HGM et d’établir la possibilité de reconnecter des anciens méandres abandonnés lors des phases de linéarisation du cours d’eau. L’objectif à long terme est de conserver, reconstruire et rétablir l’habitat du saumon d’Atlantique sur différentes sections de la rivière Escoumins.

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Faculty Supervisor:

Maxime Boivin

Student:

Partner:

Corporation de gestion de la rivière à saumon des Escoumins

Discipline:

Earth science

Sector:

Agriculture

University:

Université du Québec à Chicoutimi

Program:

Accelerate

Formulation of Environmentally Sustainable Growing Media Using Industrial Waste Streams as Nutritious Amendments

In light of the national emphasis on climate change and clean growth, the federal and provincial governments have set key goals for developing and implementing globally sustainable production and consumption models in ways that improve the environment. The agricultural industries are seeking innovation and new technologies to develop more choices and alternatives in the raw materials for growing media, with considering environmental and economic sustainability as key driver. The proposed project aims to identify new environmentally sustainable and commercially viable materials from industrial waste streams for promising applications as nutritional amendments for an eco-friendly growing media. The partner organization, BlueSky Organics, will benefit from promoting the new sustainable growing media (substrate) materials developed through this research, to further establish in the market and roadmap collaboration/partnership with Canadian agricultural and forest sectors. This will also create more opportunities for the industry to contribute to circular economy agenda by establishing standard practice guidelines for the management and recycling of industrial wastes and by-products.

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Faculty Supervisor:

Sumi Siddiqua

Student:

Partner:

BlueSky Organics

Discipline:

Engineering

Sector:

Agriculture

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Additive Manufacturing of Molds for the Mass-Production of Mechanical Ventilators during the COVID-19 Pandemic

The ongoing outbreak of COVID-19 has increased the demand for critical supplies such as test kits, protective equipment, and, most importantly, mechanical ventilators. The injection moulding process is well suited to manufacture various components of mechanical ventilators. Improving mold designs is a key factor in the mass production of the injection molding of parts. In this project, we are proposing to use an additive manufacturing process to 3D print molds for the mass production of mechanical ventilators parts. Complicated conformal cooling channels can be designed around the mold cavity to reduce the cycle time and, thus, improve the overall productivity of the injection molding process. The design and optimization of conformal cooling channels will take place both analytically and numerically. Moreover, the capabilities of the L-PBF machine to print functionally graded material will be utilized to improve the mechanical properties of molds. Moreover, finite element analysis will be used to model the performance of the conformal cooling channels. Numerical analysis techniques will be used to avoid the adverse effect of the residual stresses and part distortion expected to occur in the printed molds. Finally, the printed molds will be tested to print parts of the mechanical ventilator.

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Faculty Supervisor:

Eugene Ng

Student:

Partner:

Additive Manufacturing International

Discipline:

Engineering

Sector:

Manufacturing

University:

McMaster University

Program:

Accelerate

Improved Commentary Prediction on Financial Data

Companies rely on financial reports which are generated through various transactions such as sales and expenses to understand the discrepancies between actual performance and financial forecast. Accordingly, generating commentaries on financial data might be considered as a routine operation for many companies. The previous studies indicate that machine learning algorithms can be used to automate the process of commentary generation. Specifically, such approaches use product forecasts and actuals in addition to inventory and point-of-sales data for the underlying prediction task. To incorporate these models in their daily activities, our partner proposes the development of a graphical user interface to allow end-users to interact with the model. By acquiring a deeper understanding of the data, we propose to improve the developed model in various ways. First, by engineering new features from the existing data, we aim to enhance the learning process and develop highly accurate models. Second, we plan to investigate time series classification approaches with deep neural networks considering that such methods enable pattern learning at different levels of detail. Finally, we consider applying natural language processing techniques to process commentaries and extract topics which provide a deeper understanding of the commentaries and serve as a validation tool.

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Faculty Supervisor:

Mucahit Cevik

Student:

Partner:

Unilever Canada Inc

Discipline:

Engineering

Sector:

Manufacturing; Wholesale trade

University:

Toronto Metropolitan University

Program:

Accelerate

Détermination du potentiel virucide de fils textiles contre le coronavirus

Récemment et avec l’apparition du SRAS-CoV-2, la demande, tant au niveau personnel que professionnel, pour des produits textiles conférant une protection contre ce virus a littéralement explosée. La compagnie FilSpecMC a développé une gamme de fils techniques innovants pour la production de produits textiles médicaux qui possèdent des propriétés antibactériennes. Dans ce projet, nous désirons tester ces produits textiles ont un potentiel virucide contre le coronavirus. Les résultats permettront à FilSpecMC de se positionner avantageusement comme leader dans la recherche et le développement de produits textiles avant-gardistes et répondre aux besoins de protection des professionnels dans le domaine médical.

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Faculty Supervisor:

Nancy Dumais

Student:

Partner:

FilSpec

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Université de Sherbrooke

Program:

Accelerate

Data Ethics & Privacy by Design: Unlocking Health Innovation

Healthcare innovation is a major focus across Canada and the globe. It can be defined as, “activities that generate value in terms of quality and safety of care, administrative efficiency, the patient experience, and patient outcomes. Efforts are underway to transform health care by leveraging technology and data so that Canadian provinces and territories promote efficient use of limited resources and blaze the trail for new medical treatments and services. This shift has resulted in exciting innovations and the emergence of numerous health-related commercial companies and start-ups across Canada.
Additionally, big data demands, as well as the increasing commoditization and economic value attributed to health and health data is on an upward trajectory with no indication that it will slow down or decrease.
The commercialization benefits of data have pushed privacy boundaries and tested consumer trust at new heights, both within Canadian healthcare and elsewhere in the world.
This proposal addresses the need to implement ethics and privacy design to unlock health innovation. Privacy and data ethics will be explored and will include ethical approaches for health innovation by exploring a big data, commercialization, artificial intelligence & emerging devices and technologies.

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Faculty Supervisor:

Tom Cooper

Student:

Partner:

BreatheSuite

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

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