Innovative Projects Realized

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

29670 Completed Projects

2811
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4990
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801
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663
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825
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8841
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9197
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95
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568
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1088
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Projects by Category

Production de nano-objets fluorescents, obtenus par nanoprécipitation de dextranes modifiés par dendrons de TPE

Le projet consiste à formuler des objets nanométriques destinés à la vectorisation de médicaments et constitués d’un polysaccharide naturel biodégradable (dextrane) et de dendrimères aux propriétés de fluorescences AIE particulières. Dans le cas des molécules AIE, leur fluorescence augmente avec la concentration pour atteindre un maximum lorsque la molécule est agrégée (état solide). 
Le but de ce projet est tout d’abord de synthétiser des dérivés de dextrane en y greffant des dendrons fluorescents à surface TPE (tétraphényléthylène) afin d’obtenir les propriétés AIE recherchées. Après synthèse de ces dérivés amphiphiles Dextrane/TPE, le procédé de nanoprécipitation sera appliqué pour organiser ces macromolécules sous forme de nano-objets dont le cœur hydrophobe sera constitué de groupes TPE agrégés pouvant accueillir un principe actif et la surface hydrophile sera constituée par le dextrane qui permettra une circulation prolongée de l’objet dans l’organisme après injection jusqu’à une zone cible de libération dudit principe actif

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Faculty Supervisor:

Ali Nazemi

Student:

Partner:

Université de Lorraine

Discipline:

Physics

Sector:

Education

University:

Université du Québec à Montréal

Program:

Globalink Research Award

Econext – Building a Toolkit for Entrepreneurial Newcomers interested in the Environmental Sector.

The project will focus on building a toolkit for newcomer entrepreneurs that helps to remove some of the initial barriers of starting a business in a location that you do not know anything about. Within the toolkit, a database of subject matter experts will be established, along with a compilation of links to government and industry sources. This work will establish a quick resource for newcomer entrepreneurs so that they can quickly gain insight into clean energy or any other environmental-related opportunities in Newfoundland and Labrador and best figure out where their business idea aligns and where the best resources are located to support the growth of their business. The toolkit will focus on information and data that are meant to decrease barriers to increase their business productivity and will also help in reducing upfront business development time.

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Faculty Supervisor:

Thomas Cooper

Student:

Partner:

econext (NEI Association Inc.)

Discipline:

Business

Sector:

Professional, scientific and technical services; Public administration

University:

Memorial University of Newfoundland

Program:

Business Strategy Internship

Attitudes and motivators of parents for COVID-19 child vaccination: Results from the iCARE study in Australia and Canada

Vaccination against COVID-19 has recently become available in countries for children of all age (i.e.: 6 months and older). It allows to reduce the risk of serious complication, long-term consequences for children and lower the spread to and death of older individual who the children may infect. That being said, the current uptake of COVID-19 vaccination varies across countries and is generally quite low. The aim of this internship is to compare the change of COVID-19 vaccine attitudes and motivators among parents/guardians, regarding getting their children vaccinated against COVID-19 over time, and the extent to which this differs by the policies in place at the time of vaccine availability in different countries. Ultimately, this work will lead to more efficient vaccination messaging and efficient management of the pandemic (and future one) by understanding the impact policies on children vaccination.

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Faculty Supervisor:

Kim Lavoie

Student:

Partner:

Murdoch Children's Research Institute

Discipline:

Sociology

Sector:

Public Service, Policy, and Governance

University:

Université du Québec à Montréal

Program:

Globalink Research Award

A Bayesian Probability Network Approach To Predictive Modeling in Support of EffectiveManagement of Underwater Noise in Marine Mammal Habitat Year Two

Marine mammals have evolved to send and receive underwater sound as their primary means for communicating, finding food, and sensing their environment. Introducing human-generated and other unnatural sources of noise into their environment can cause potentially serious consequences, particularly for those species at conservation risk. Past work on predicting the behavioural response to excessive noise has ignored the variability in the sound field and in marine mammal behaviour. An important research gap is to incorporate these uncertainties in the predictions of marine mammal response to proposed industrial development projects. We propose to develop a probability-based network model that will quantify the uncertainties of marine mammal behaviour in response to various intensities and frequencies of industrial noise. This model will be both science and data driven and will provide a framework for assessing the likelihood of various behavioural responses, thereby acting as a management and decision support tool.

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Faculty Supervisor:

Laurie Ainsworth

Student:

Partner:

SMRU Canada Ltd

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Elevate

CFD analysis for onboard anemometer bias

OceanSync collects real time weather data, such as wind speed, wind direction, wave height and other atmospheric conditions on board of seafaring ships. Accurate data collection can be used to improve weather forecast, ocean/atmosphere modeling, satellite validation, climate change studies and reduce ships’ environmental footprint and transport costs. However, wind measurements made on ships are impacted by the location of the anemometer, wind speed, heading angle, and ship superstructure geometry. There are potential biases caused by the distortion of the air flow around the ship. In this project, high fidelity Computation Fluid Dynamic (CFD) simulation of the wind flow field around a container ship superstructure will be performed. The distortion of the flow field around the ship superstructure will be investigated and measurement bias will be quantified.

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Faculty Supervisor:

Heather Peng

Student:

Partner:

Oceansync

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Business Strategy Internship

Nutrient productivity of reef fish on degraded coral reefs

This project will investigate the rates at which coral reef fish grow and produce nutrients vital to human health. Climate change has caused habitat degradation on many coral reefs around the world, which affects the fish species supported by reefs and in turn the fish available to local fisheries. The production rates of reef fish are affected by the physical characteristics of the seabed as well as pressure from fisheries, and so these variables will be included in analyses of nutrient productivity. Knowing how nutrient production from fish is affected by climate-induced reef degradation is important for assessing the role reef fisheries can play in tackling nutrient deficiencies in coastal communities that rely on reef fish for food and nutrient security. Expected outcomes from this project include a PhD chapter that will be published in a peer-reviewed journal and conference presentations to share findings with others interested in the contribution of marine resources to human nutrition.

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Faculty Supervisor:

Aaron MacNeil

Student:

Partner:

Lancaster University

Discipline:

Life Sciences

Sector:

Aquaculture and Fishing; Environmental Science and Technology; Natural Resources

University:

Dalhousie University

Program:

Globalink Research Award

Déploiement de la 5G au Québec : comment aider les municipalités ? (partie 2)

Le présent projet vise à aider les municipalités québécoises à se préparer au déploiement de la 5G. Les municipalités ont peu de leviers pour orienter directement la planification des réseaux 5G afin de protéger leurs intérêts et de répondre aux préoccupations de leurs résidents. Néanmoins, ce constat n’a pas empêché certaines villes à l’international de se dégager une marge de manoeuvre, en se préparant à l’avance à l’arrivée de la 5G. Or, ce n’est pas le cas pour une grande majorité des municipalités québécoises alors que la 5G implique des enjeux locaux complexes : techniques, économiques, environnementaux, énergétiques, sanitaires et sociétaux. L’objectif de ce projet est d’élaborer un guide d’accompagnement au déploiement de la 5G pour les municipalités québécoises.

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Faculty Supervisor:

Marie-Soleil Cloutier

Student:

Partner:

Centre d'expertise et de recherche en infrastructures urbaines

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Accelerate

QA-Enhanced MLOps pipelines for robust and adaptive ML-intensive industrial systems

Sycodal is a Canadian company that empowers local small and medium-sized enterprises (SMEs) with cutting-edge digital solutions to overcome human resource shortages and adapt to market fluctuations. It is a member of the NVIDIA Inception program and uses NVIDIA’s technology to add machine learning (ML) and reinforcement learning (RL) capabilities to its automation systems. These systems, such as manufacturing robots and vision-based quality control, must meet high standards of service level agreements (SLAs). This project aims to develop machine learning model operationalization (MLOps) pipelines for ML-intensive industrial systems. These MLOps pipelines will include advanced quality assurance (QA) processes and methods to release ML solutions that can handle changes in industrial environments and naturally-occurring data shifts. As part of this project, two students will work on two different industrial ML applications, namely visual anomaly detection and self-learning robotic arms. Sycodal will adopt and integrate the results of this research project into its main ML system engineering workflow that is used to release vision-based systems and RL-based robotic arms for customers.

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Faculty Supervisor:

Foutse Khomh

Student:

Partner:

Sycodal

Discipline:

Computer science

Sector:

Manufacturing; Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Accelerate

Innate Lymphoid Cell Plasticity (ILC2 to ILC3 transition) in Moderate Severe and Severe Asthma during T2 low Asthma Exacerbations

Asthma is an airway disease affecting over 330 million people worldwide. More than >5% of people with asthma experience uncontrolled severe disease despite being treated with high doses of steroids which give them a lot of bad side effects1,2. The availability of a new class of drugs recently called biologics have reduced the number of hospitalizations and the need for oral steroids in severe asthmatics with a particular type of inflammatory cell in the airways, called eosinophils. There remains, however, a lack of effective medicines to treat another type of moderate and severe asthmatics, in particular those with neutrophils or both eosinophils and neutrophils in the airways. A recent large clinical trial studying a drug that targets a factor released int eh airways called thymic stromal lymphopoietin (TSLP) (NAVIGATOR study) was successful in controlling asthma exacerbations and hospitalizations in asthmatics with both eosinophils and neutrophils in the airways. Based on these findings, it is important to investigate what stimulates the development of asthma attacks when neutrophils are present in the airways. We will study a specific cell type known to be a central driver of asthmatic responses….

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Faculty Supervisor:

Roma Sehmi

Student:

Partner:

AstraZeneca Canada Inc

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

McMaster University

Program:

Accelerate

Understanding emerging infectious diseases of muskoxen, through wildlife health surveillance with local tourism operators

The emergence and expansion of diseases in wildlife in the Arctic is of growing concern to Inuit communities. Wildlife health surveillance is challenging in remote regions, and therefore it is important to draw on different sources of knowledge including local ecological knowledge, and traditional knowledge. In this project we aim to implement wildlife health surveillance in partnership with tourism operators in Nunavut. Using Arctic Watch and Canada North Outfitters operations we will conduct wildlife health surveillance, while engaging their clients in wildlife health research and conservation. The partner organisations will benefit from this project by being able to expand what they can provide in their guests’ experiences, and their staff will gain new skills in wildlife health research and conservation. This project will also contribute to our understand of factors associated with health muskox populations, which is of benefit to the tourism operators and local communities alike.

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Faculty Supervisor:

Susan Kutz

Student:

Partner:

Arctic Watch Beluga Foundation;Weber Arctic Expeditions;Canada North Outfitting

Discipline:

Life Sciences

Sector:

Other services (except public administration)

University:

University of Calgary

Program:

Accelerate

A Bayesian Probability Network Approach To Predictive Modeling in Support of EffectiveManagement of Underwater Noise in Marine Mammal Habitat

Marine mammals have evolved to send and receive underwater sound as their primary means for communicating, finding food, and sensing their environment. Introducing human-generated and other unnatural sources of noise into their environment can cause potentially serious consequences, particularly for those species at conservation risk. Past work on predicting the behavioural response to excessive noise has ignored the variability in the sound field and in marine mammal behaviour. An important research gap is to incorporate these uncertainties in the predictions of marine mammal response to proposed industrial development projects. We propose to develop a probability-based network model that will quantify the uncertainties of marine mammal behaviour in response to various intensities and frequencies of industrial noise. This model will be both science and data driven and will provide a framework for assessing the likelihood of various behavioural responses, thereby acting as a management and decision support tool.

View Full Project Description
Faculty Supervisor:

Laurie Ainsworth

Student:

Partner:

SMRU Canada Ltd

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Elevate

Using dermal stem cells for cartilage regeneration

Osteoarthritis (OA) is the fastest growing global health problem; with a total joint replacement being the only effective treatment for patients with advanced OA. While many studies have employed mesenchymal stem cells (MSCs) to repair cartilage; only little improvement has been observed and these MSCs are typically isolated from bone marrow or fat which requires invasive procedures. There is a growing body of literature demonstrating the MSCs derived from the dermis retain the ability to become cartilage, yet it remains unknown if these cells can affect cartilage repair. Thus, we will undertake a project with Acorn Biolabs to examine if their human dermal MSCs have therapeutic potential for cartilage injury and/or OA. These easy to obtain cells may provide a real option for the non-surgical management of this all too prevalent disease.

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Faculty Supervisor:

Roman Krawetz

Student:

Partner:

Acorn Biolabs

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

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