Innovative Projects Realized

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

31133 Completed Projects

2940
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5159
BC
837
MB
685
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882
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9292
ON
9695
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97
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601
NB
1161
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Projects by Category

Laser welding process development and optimization for thin Al and stainless-steel foils

In the fabrication of a battery-free water leak detector, packaging process requires to expose the sensor to water in a specific way, while protecting some electronics components on the inside from water. This research is to develop a high-speed and high precision laser microwelding process to fabricate an aluminum or stainless steel foil water-proof housing for the electronics of AquaSensing’s battery-free water leak detector. Firstly, weldability of aluminum or stainless-steel foils, particularly the weld appearance, the defects in welds and the laser welding parameter window, will be investigated to study the feasibility of laser microwelding for water leak detector electronic housing. The optimization of the laser welding process will be conducted to minimize the defects of welds, and fabricate a water leak-free sample. The completion of this research will accelerate the production design and increase the robustness and reliability of partner’s advanced battery-free water leak detector.

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Faculty Supervisor:

Peng Peng

Student:

Partner:

AquaSensing

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate

Assessing the Impact of the Program Integrity Framework: Engaging Family-Links in the Private Sponsorship of Refugees (PSR) Program in the Context of Program Assurance

Canada’s Private Sponsorship of Refugees (PSR) program has gained a lot of international attention from countries around the world. Since the program’s inception, emerging literature has appropriately captured the increasing shift from the ‘welcoming the stranger’ model to ‘kin-linked’ based sponsorships. Today, linked-sponsorships make up the majority or private sponsorships. Further, in the Fall of 2022 implementation of the Government of Canada’s new Program Integrity Framework (PIF) will begin. While unclear what the implementation of the PIF will mean in practice, many sponsors are skeptical about the framework’s intentions and how it will impact sponsor engagement. This research considers the necessity of program integrity monitoring and the challenges and complexities of monitoring within the context of kin-linked sponsorship.

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Faculty Supervisor:

Luisa Schwartzman

Student:

Partner:

Canadian Unitarian Council

Discipline:

Sociology

Sector:

Other services (except public administration); Public administration

University:

University of Toronto

Program:

Accelerate

Enhancing sustainability outlook of livestock feed additives production and use: An integrated and model-based approach

Considering the challenge of feeding a growing population, with an increase in the demand for more animal-source foods, efficient use of resources will be essential. Livestock and aquaculture are major contributors to climate change, being responsible for 14.5% of the global greenhouse gas emissions in addition to nutrient losses, leading to water contamination. However, feed additives have been identified as potential pathway to decrease the environmental impact of animal production, in addition to contributing to food safety and animal health. This project aims to quantify the current environmental implications of the production and use of specific feed additives. It will also identify areas in the production process or use phase when improvement could be achieved and quantify the environmental and economic implications of such improvement pathways. Overall, this project will provide data/evidence for strategic sustainability decisions and models that are applicable to other livestock production systems.

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Faculty Supervisor:

Ebenezer Miezah Kwofie

Student:

Partner:

JEFO Nutrition

Discipline:

Engineering

Sector:

Agriculture

University:

McGill University

Program:

Accelerate

A methodology to leverage seismic risk assessments to inform seismic policy development in the City of Vancouver

Seismic risk reduction planning for existing buildings must begin with a quantitative account of risk, and it must contain an objective basis grounding the various policy options considered within it. This work aims to develop a methodology to generate that objective policy basis, leveraging seismic risk modelling outputs to detail the benefits of various policy options to reduce risk in Vancouver’s 90,000 existing, privately held buildings. The proposed methodology will consider risk in terms of building damage, casualties, recovery time, and disrupted occupants, creating a process to model the reduction across each risk metric for cohorts of buildings. These cohorts will be ranked by their impact upon the desired metrics, allowing for identification of efficient policy strategies from a test set. In effect, this work will allow municipal staff and decision makers to understand the potential for risk reduction and make informed policy decisions, including risk reduction targets, to advance citywide seismic resilience.

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Faculty Supervisor:

Carlos Molina Hutt

Student:

Partner:

City of Vancouver

Discipline:

Engineering

Sector:

Public administration

University:

The University of British Columbia

Program:

Accelerate

Engineering Issue Tracking Management

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

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Faculty Supervisor:

Kamran Behdinan

Student:

Partner:

Safran Electronics & Defense Canada

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

DEVELOPMENT OF CONTEXT-SPECIFIC INTEGRATED BIOLOGICAL NETWORK MODELS WITH APPLICATIONS TO STRAIN ENGINEERING

Biological-system-based production of chemicals and fuels (Eg: ethanol, bio-diesel, bio-nylon, etc.) has lesser or no impact on the environment than their conventional, chemical processes But, these biofactories are not evolved to produce industrially important chemicals yet. Hence, the productivity of the desired chemical is low in an isolated biological system. Metabolic engineering modifies the metabolic network (network of biochemical reactions) by blocking or appending a few reactions in a static or dynamic manner to increase the chemical production. We have to determine which reactions to target? Or what pathways to modify? before performing metabolic engineering. Mathematical models of the biosystems enable us to analyze these biosystems in different conditions, like what happens if a reaction is removed or added in an in-silico manner. These models are mathematical equations that capture bio-entities as symbolic variables and their interactions as mathematical operations among the symbolic variables. In this work, we propose to model the biosystem, Kluyveromyces lactis, as an integrated model to design new strains for chemical production using our group’s advanced algorithms like MoVE, mcPecaso, cRegMCS.

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Faculty Supervisor:

Radhakrishnan Mahadevan

Student:

Partner:

Indian Institute of Technology Madras

Discipline:

Engineering

Sector:

Biotechnology; Green/Alternative Energy; Life Sciences (not health)

University:

University of Toronto

Program:

Globalink Research Award

Evaluation of the effects of peripheral CB1 receptor antagonism on obesity and metabolic dysfunction

Obesity is a growing public health concern that is characterized by increased fat mass. It is also an important risk factor for various diseases, such as type 2 diabetes. Most treatments for obesity act on the brain, and interestingly, none of the available treatments target fat cells, the key cell type involved in the development of obesity. While it is known that blocking the actions of the CB1 receptor can reduce food intake and treat obesity, the effect of CB1 receptor blockade in peripheral fat tissue has not been investigated in great detail. This project is aimed at evaluating the effectiveness of new generation CB1-receptor inverse agonists, that preferentially act in the periphery, in treating obesity. The benefit of this project to Inversago, the partner organization, is to advance preclinical candidate compounds towards clinical use in treating obesity and metabolic disorders.

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Faculty Supervisor:

Gareth Lim

Student:

Partner:

Inversago Pharma

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Université de Montréal

Program:

Accelerate

5G-Enabled Smart Infrastructure Applications

Canada’s critical infrastructure (e.g., bridges, pipelines, and nuclear power plants) is deteriorating at a rate that far outpaces the ability to replace it. A recent analysis of Ontario’s transportation infrastructure alone indicates over $5.1B is needed to replace assets that have reached the end of their lifecycle. Justifying the finances required for replacement/repair is challenging given the limitations of current inspection practices. This necessitates a quantitative inspection practice that can be deployed at scale for objective measure of existing infrastructure life. This project aims to harness the power of 5G to address unique challenges related to the assessment of state of infrastructure objectively so that maintenance prioritization and replacements can be planned for based on quantitative data. This project will spur an entirely new innovation ecosystems consisting of network providers such as Rogers and vendors and contributes a significant cost reduction and increases reliability in assest inspection and maintenance.

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Faculty Supervisor:

Chul Min Yeum

Student:

Partner:

Rogers Communications Inc.;University of Waterloo

Discipline:

Engineering

Sector:

Information and Communications Technology; Artificial Intelligence

University:

University of Waterloo

Program:

Accelerate

AI-enabled food waste differentiation for at-home compost nutrients estimation

The main goal of this project is to digitalize food waste at home for a sustainable future using at-home composters. We will develop dedicated machine learning algorithms to detect, segment, and classify various food waste generated in the kitchen, making it possible for everyone to immediately estimate the quality and nutrients of the generated compost using a simple mobile App. The project will collaborate with VCycene Inc., a cleantech company dedicated to providing sustainable solutions to the food-waste problem. The intern will work with the domain experts at VCycene, especially the team for data collection and the team for model deployment and mobile App development, to conduct experiments and evaluate the performance of the proposed machine learning algorithms.

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Faculty Supervisor:

Guanghui Wang

Student:

Partner:

VCycene Inc.

Discipline:

Computer science

Sector:

Manufacturing

University:

Toronto Metropolitan University

Program:

Accelerate

Temporal Preferences versus Song Learning Across Populations of Ormia ochracea

This project will measure the behavioural responses in a certain fly species, ‘Ormia ochracea’, to a variety of cricket mating songs, and from geographically separated North American populations of the fly. This type of fly attacks crickets so that their larvae may feed and mature within the cricket’s body. They locate the cricket’s position by following the cricket’s unique mating song. Each song is very different, especially in its time-pattern (number of chirps etcetera). Experiments in the wild have shown that the fly populations will show distinct preferences even when all the cricket songs are equally available. How it is the flies are preferentially choosing dissimilar songs is not yet known. I will address this research gap by measuring fly preferences in the laboratory. It is expected this project will help us find out whether the fly populations are tuned differently to certain song patterns.

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Faculty Supervisor:

Andrew Mason

Student:

Partner:

University of Strathclyde

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Biotechnology; Environmental Science and Technology

University:

University of Toronto

Program:

Globalink Research Award

La mise en oeuvre en pratique d’un plan stratégique dedéveloppement durable

Le projet de recherche vise à étudier le processus de réalisation d’une stratégie en développement durable au sein d’une entreprise minière. Pour se faire, une étude longitudinale de quatre à huit mois sera réalisée dans deux ou trois secteurs de l’entreprise Rio Tinto Fer et Titane (RTFT) afin d’obtenir une idée globale de la perception du développement durable (DD) au sein de différents paliers hiérarchiques de la compagnie. Des séances d’observation ainsi que la réalisation d’entrevues individuelles constitueront la grande partie du projet sur le terrain. L’étude comportera deux étapes : 1) compréhension des processus de travail dans certains départements (à déterminer en collaboration avec la direction de développement durable à RTFT) et 2) l’identification, à travers des discussions et entrevues avec les employés concernés, des façons d’intégrer dans ces processus des nouvelles pratiques de travail qui sont cohérentes avec la stratégie DD de l’entreprise .

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Faculty Supervisor:

Charlotte Cloutier

Student:

Partner:

Rio Tinto Fer et Titane inc.

Discipline:

Business

Sector:

Mining

University:

HEC Montréal

Program:

Accelerate

Le pont Kintai et l’architecture des ponts au Japon à l’angle des crises environnementales (16 – 18e siècle)

La période s’étalant du 16e au 18e siècle au Japon fût marquée par des épisodes successifs de guerre et de paix, de crises environnementales et de vagues de construction pour marquer la fin des conflits. De nouveaux bâtiments, routes et infrastructures marquent en ce sens l’époque Edo, qualifiée largement pour sa prospérité relative. Or, ce boom de construction a mis en péril l’écosystème japonais, entraînant notamment des innondations et la mise en péril de nombreuses espèces d’arbres. En prenant pour exemple le pont Kintai, ce projet cherche à mettre en lien le développement d’une identité architecturale japonaise unique et l’émergence de nombreux problèmes écologiques, ainsi que les solutions environnementales mises en place.

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Faculty Supervisor:

Bernard Bernier

Student:

Partner:

The Graduate University for Advanced Studies

Discipline:

Sociology

Sector:

Construction; Forestry; Other

University:

Université de Montréal

Program:

Globalink Research Award