Innovative Projects Realized

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

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Development of framework for deployment of Canadian agromineral waste as soil remineralizers with verifiable carbon drawdown potential

It is essential that additional carbon removal capacity and strategies are developed in the near term to facilitate Canada’s national climate goals. In addition, farmers are seeking sustainable methods of crop production that support soil health. Agromineral waste refers to materials generated from mineral processing activities that possess agronomic value in terms of potential benefits for plant and soil health, and some of these mineral also are capable of carbon removal through a process termed enhanced weathering. This project aims to evaluate a number of agromineral wastes (i.e., biotite, nepheline, pyroxene, and feldspar) for use as a carbon removal technology. Combining soil remineralization properties with carbon sequestration is a driving force to an effective business plan that not only increases agricultural productivity and promotes environmental sustainability but also generates financial returns through the creation of carbon removal certificates. This project will help the company expand into Canada and contribute to Canada’s environmental targets. By targeting the utilization of mineral residues in agriculture, the company can tap into a new and potentially lucrative market, and by focusing on utilizing agromineral residues from orphaned and abandoned mines, the company aligns with Canada’s environmental goals.

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Faculty Supervisor:

Rafael M. Santos

Student:

Partner:

RE.K.OVER Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

Business Strategy Internship

Easy Receipt – Phase Two

The proposed project aims to develop Easy Receipt’s software by integrating a receipt NFC transfer feature through the expertise of the intern Maryam. By leveraging her skills and utilizing the Scaled Agile Framework methodology, the project aims to improve the Easy Receipt application, leading to streamlined receipt management for users and increased brand visibility. This collaboration will benefit Easy Receipt by expanding its feature offerings, attracting more users, and establishing a stronger presence in the market.

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Faculty Supervisor:

Jonathan Anderson

Student:

Partner:

Psyche Sphere

Discipline:

Engineering

Sector:

Clean Technology; Artificial Intelligence; Environmental Science and Technology

University:

Memorial University of Newfoundland

Program:

Business Strategy Internship

Creating a Business Model for Food Hub Network in Newfoundland Labrador

The purpose of this project is to create a business model for a connected network of physical sites (called Food Hubs) across the province, connected by effective online links, to create a more direct system of food production, distribution, and education. It will connect growers and enable small-scale food producers, who typically have trouble accessing the grocery market, to expand and grow with new commercial pathways. The 10 food hub sites will be located in a variety of communities throughout the province including south and central Labrador with the NunatuKavut Community Council.

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Faculty Supervisor:

Garrett Richards

Student:

Partner:

Food Producers Forum Inc;NunatuKavut Community Council

Discipline:

Business

Sector:

Agriculture

University:

Memorial University of Newfoundland

Program:

Business Strategy Internship

Improved power spectrum estimate pipeline for HERA

Radio signals of neutral hydrogen atoms from the very early universe are a crucial tracer for us to understand the formation of first stars, black holes, and galaxies. Observations of these signals are challenging due to the contaminations from bright astrophysical objects in the foreground and Radio Frequency Interference from terrestrial communications. In this project, we propose to implement an improved power spectrum estimate pipeline, a statistical quantity used to capture the abundance and distribution of neutral hydrogen atoms. This improved pipeline will filter out foreground contaminations while optimally handling the missing data due to Radio Frequency Interference. We will apply this improved pipeline to the data obtained by the Hydrogen Epoch of Reionization Array which Canada is a key partner of, opening up a wider window to a section of the universe that has never been observed before. The expertise developed in this project will further strengthen Canada’s leading position in radio astronomy.

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Faculty Supervisor:

Adrian Liu

Student:

Partner:

Massachusetts Institute of Technology

Discipline:

Physics

Sector:

Education

University:

McGill University

Program:

Globalink Research Award

Streptococcus suis et ses relations avec la barrière intestinale porcine

La relation de l’agent pathogène zoonotique, Streptococcus suis (Ssuis), avec la barrière intestinale est encore mal connue et mérite d’être étudiée. Il semblerait que certaines souches de Ssuis puissent traverser la barrière intestinale dans certaines circonstances. Le but du projet présenter ici est de mieux comprendre les interactions que Ssuis peut établir avec la barrière intestinale porcine et de préciser des circonstances pouvant favoriser le passage de la bactérie. Nous commencerons par utiliser des lignées cellulaires pour passer ensuite à l’utilisation d’organoïdes dérivés de différentes sections de l’intestin avant d’aller plus loin dans la complexité des interactions en utilisant le modèle des anses intestinales ligaturées. Les recherches permettront de mieux comprendre les voies d’invasion possible de Ssuis dans l’hôte porcin. Ssuis étant un agent pathogène zoonotique les observations faites chez le porc ont aussi un intérêt par rapport à l’étude des relations Ssuis/espèce humaine.

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Faculty Supervisor:

François Meurens

Student:

Partner:

Institut national de recherche pour l’agriculture, l’alimentation et l’environnement

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Health and Related Sciences & Technology; Agriculture and Food

University:

Université de Montréal

Program:

Globalink Research Award

Implantation d’une batterie d’évaluation multidimensionnelle du joueur de tennis en développement

Cette recherche vise à implanter une batterie d’évaluation complète pour les jeunes joueurs de tennis afin de mieux comprendre et améliorer leurs compétences. Le projet prévoit des tests variés, qui mesureront des aspects techniques, tactiques, physiques et psychologiques des athlètes. Adaptés selon l’âge et le niveau de compétition, ces tests seront pratiqués sur un large groupe de joueurs pour déterminer les domaines à développer et les facteurs de réussite. Les résultats serviront à améliorer le développement des jeunes joueurs et pourraient transformer la manière dont les entraîneurs accompagnent leurs athlètes.

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Faculty Supervisor:

Jonathan Tremblay;Joe Baker

Student:

Partner:

Tennis Québec

Discipline:

Life Sciences

Sector:

Arts, entertainment and recreation

University:

Université de Montréal

Program:

Accelerate

Empathy and synchronization in social and non-social contexts

Synchronization with others appear to promote empathy and people with higher empathy are better at synchronizing to others. Why there is this bidirectional relationship between empathy and synchronization is unclear, but a prevailing theory suggests that the ability to perceive yourself as another (i.e., internal simulation) is responsible. The current study will help in understanding the role of empathy and why it may be related to synchronization by testing whether it is only linked to synchronization in social contexts (e.g., synchronizing with another person) where internal simulation can occur compared to synchronization in non-social contexts (e.g., synchronizing with an object). Motion capture will be used to measure the participant’s movement and synchronization to the person or object and measures of empathy will be collected from participants. If empathy is only associated with synchronization in a social context, there is support for the idea that empathy affects synchronization through internal simulation.

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Faculty Supervisor:

Jessica Grahn

Student:

Partner:

University of Oslo

Discipline:

Sociology

Sector:

Other

University:

The University of Western Ontario

Program:

Globalink Research Award

Seismic Behaviour of Mass Timber Beam Hanger Connections

The need for more sustainable buildings has driven demand for tall mass timber structures in Canada. However, these structures must be designed to prevent structural collapse and protect human life in the event of a large earthquake. As a result, it is crucial that the structural members and their connections be designed to have sufficient capacity to prevent brittle failure and ensure life-safety during an earthquake. The goal of this project is to leverage the relationship between MTC Solutions and Queen’s University to advance the scientific understanding of how mass timber beam-column connections behave under earthquake loads, specifically focusing on pre-engineered beam hanger connections. This understanding will be developed by validating computer models that will be used to equip engineers with the tools and design approaches they need to ensure mass timber connections are safe under earthquake loads.

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Faculty Supervisor:

Joshua Woods

Student:

Partner:

MTC Solutions

Discipline:

Engineering

Sector:

Construction; Sustainability & the Environment; Forestry

University:

Queen's University

Program:

Accelerate

Machine learning-based beam management algorithms for space communications.

The spectrum environment for the satellite communications industry is becoming congested, contested, and complex due to increasingly massive constellation deployments. Newly activated terminals can take a long time to find and establish a link with their desired satellite, resulting in significant downtime. Beamforming is a key method for producing high-data rates and efficient communication links. However, a drawback is that the beam management procedures incur latencies and can result in radio link failures. As such, the interns of this project will explore and design low-latency and efficient beam management techniques that leverage machine learning (ML). The intent is to produce models that could be deployed to satellites and terminals which would automatically and passively detect its counterpart and configure for optimal operation. The resulting research is expected be used by Qoherent to develop technologies that achieve efficient, low-latency, and high throughput space communications.

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Faculty Supervisor:

Hatem Abou-Zeid

Student:

Partner:

Qoherent

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Calgary

Program:

Accelerate

Exercising together: The Perception of Exertion in Others

Physical activities, such as running, cycling, and weightlifting, are typically associated with a subjective feeling of exertion. Such perception of exertion is generally defined as “how heavy and strenuous a physical task is”. People’s subjective feelings of exertion is strongly associated with the task intensity and their energy expenditure. People also often exercise together, both collaboratively and competitively, and the exertion experienced by the partner plays an important role in the enjoyment and motivation of the exercise experience. The current project aims to study perceived exertion in others. Knowing how one perceive exertion in others and how it influences exercisers will allow us to improve exercise experience and potentially increase exercise adherence.

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Faculty Supervisor:

James Enns

Student:

Partner:

Lululemon

Discipline:

Sociology

Sector:

Manufacturing; Retail trade

University:

The University of British Columbia

Program:

Accelerate

MRI Quantification for Predicting Post Stroke Motor Functions

Stroke is a leading cause of adult disability. Stroke results in neural damage to the brain and subsequent physical, cognitive, and affective impairments. Motor impairment after stroke is common and affects around 80% of patients. A primary concern immediately after stroke for patients, their relatives, and their caregivers is the prospect of recovery in the future. The motor impairments caused by stroke affect patients’ ability to live independently, and return to their family, social, and professional roles. Recovery of movement is crucial to regaining independence and primarily occurs during the first six months after stroke. Physical rehabilitation is the most effective way to promote adaptation and compensation for impairments, reduce disability and enhance independence. Being able to predict likely motor outcomes soon after stroke could support clinicians, patients and families to set appropriate goals for treatment and rehabilitation. Structural brain MRI brain data will be used to calculate the volumetric measurements such as, stroke lesion size and location, brain volumes, grey matter and white matter volumes, subcortical volumes, cortical thickness, cortical surface area, etc.

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Faculty Supervisor:

Sam Nakhla

Student:

Partner:

University of Auckland

Discipline:

Engineering

Sector:

Biotechnology; Health and Related Sciences & Technology

University:

Memorial University of Newfoundland

Program:

Globalink Research Award

Leveraging Stacks of Predictors for Efficient Inference and Uncertainty Estimation

Given the ever growing neural networks being developed and the abundant empirical evidence that model/data scale play an important role in enabling high-quality models of data, inference cost becomes a bottleneck to the deployment of state-of-the-art automated predictors. To address that, this research project aims to develop algorithms that can predict outcomes by combining predictions from different layers of a large-scale model. By using layerwise confidence scores, the algorithm can determine if a prediction is accurate enough to output a prediction early. The project will rely on self-ensembling approaches to improve accuracy and confidence scores by voting at different levels of a model stack. This approach can significantly enhance the efficiency of the inference process, particularly for easy examples whose labels can be determined in the initial layers, yielding faster and more accurate predictions, and improved uncertainty estimates.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

ServiceNow Canada

Discipline:

Computer science

Sector:

Artificial Intelligence; Information and Communications Technology; Cyber Security

University:

Université de Montréal

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.