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

Testing a process-based phenology model for improved forest protection during spruce budworm outbreaks

The proposed project would develop a shoot phenology model and identify tree physiological adjustments according to latitude, altitude, and species that rule the tree phenology. The model will able to provide strong predictions of synchrony between bud-shoot and insect development from long-term observations. This model will be used on a large scale in Quebec and has the potential to optimize the timing of annual treatments to reduce the severe impacts of spruce budworm defoliation in boreal forests. This project is expected to influence the short-term policies of forest protection management against spruce budworm in Quebec’s province.

View Full Project Description
Faculty Supervisor:

Annie Deslauriers

Student:

Partner:

Société de protection des forêts contre les insectes et maladies

Discipline:

Life Sciences

Sector:

Agriculture

University:

Université du Québec à Chicoutimi

Program:

Accelerate

BSI Amii Application – RES0053762

During this internship, I will work with the Science team to deliver business guidance in the field of AI/ML to their clients. This is done through a number of services, including validating AI/ML projects, advising technical groups through their implementation of AI/ML systems, and providing advanced research support by addressing research problems in a specific domain. I will work alongside the Science team in delivering these services to Amii clients.

View Full Project Description
Faculty Supervisor:

Denilson Barbosa

Student:

Partner:

Alberta Machine Intelligence Institute

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Business Strategy Internship

Soft Concrete: Rethinking artificial rock through computational design and construction, material composition and thermodynamic gradients

What if our buildings, instead of producing 30% of the world’s carbon emissions, could act as a carbon sink? Soft Concrete aims to rethink concrete in the built environment. The goal of this study is to explore sustainable alternatives to concrete, one of the largest sources of carbon in modern construction, but to retain the fundamental principles and methodology of prefabrication in a precast concrete facility. The study uses research calculating embodied carbon (carbon produced during the life cycle of a material) to guide the design and construction of a celestial observation structure on the Eastern Shore of Nova Scotia, Canada. With a focus on local organic materials, we aim to create regionally appropriate alternatives to the carbon intensive construction industry in Canada.

View Full Project Description
Faculty Supervisor:

James Forren

Student:

Partner:

Canadian Precast/Prestressed Concrete Institute

Discipline:

Engineering

Sector:

Construction; New and Digital Media; Sustainability & the Environment

University:

Dalhousie University

Program:

Accelerate

Explorer un nouveau mécanisme de codage des protéines et de formation d’ADN recombinant via les cercles d’ADN extrachromosomique

Des preuves de l’existence d’ADN circulaire (eccDNA) ont été présentées il y a des décennies, mais ce n’est que récemment que les scientifiques ont vraiment commencé à comprendre comment ces eccDNA fonctionnent. Cependant, les études actuelles basées sur des technologies de séquençage à lecture courte ont des limites dans l’accès à la précision et dans l’abondance de la population réelle d’eccDNA. Ce projet s’appuie sur la base de données eccDNA haute précision à lecture unique et récemment généré au laboratoire du Professeur Vanderschuren en utilisant la technologie de séquençage à lecture longue (PacBio). Notre objectif est de bénéficier des dernières plateformes protéomiques établies au laboratoire Uhrig de l’Université de l’Alberta qui permettront la quantification et la découverte de protéines et peptides non annotés auparavant. Le projet fournira la première base de données eccDNA à lecture unique, une base de données de protéome, une CIDER technologie pour les utilisateurs et un potentiel de partenariat université-industrie.

View Full Project Description
Faculty Supervisor:

Richard Glen Uhrig

Student:

Partner:

Université de Liège

Discipline:

Life Sciences

Sector:

Education

University:

University of Alberta

Program:

Globalink Research Award

Implementation of Photonic Computing Chip (IPCC)

The IPCC project aims to utilize the advancements in lasers, optics and semiconductor fabrication facilities to deliver a computing chip that uses laser instead on electrical signals to perform computations. The new paradigm of computation execution allows computations to be performed much faster at lower energy consumption which directly leads to lower costs for computations. The advantage is particularly huge for AI computations. The Interns will perform research work to design, fabricate and test the new chip and develop software that allow using this chip efficiently. The partner organization directly benefits from the interns’ expertise to accelerate the development of the photonic computing chips allowing the company faster entry to market. In this process the company will provide the global community an access for faster and cheaper computations.

View Full Project Description
Faculty Supervisor:

Odile Liboiron-Ladouceur;Yves Alain Peter

Student:

Partner:

TandemLaunch Inc

Discipline:

Engineering

Sector:

Technology; Artificial Intelligence; Nanotechnology

University:

McGill University; Polytechnique Montréal

Program:

Accelerate

Development of digital technologies for wild blueberry cropping system to lower production costs and increase berry quality

Artificial intelligence coupled with machine vision agrochemical sprayers can replace traditional uniform applications. Novel advancements utilizing high resolution images with deep learning techniques are required to develop new algorithms for advanced real-time automated classification. Fields will be surveyed, and a digital library database of images will be acquired for the major target weeds that are spatially variable throughout the fields. Following evaluation of the deep-learning program in the lab and static field environment, the system will be integrated onto a commercial uniform sprayer modified to operate with individual nozzle control for precise weed target detection. An economic analysis will compare the costs of uniform spraying methods to the new spot-application techniques. Deep learning models will also be developed for detecting berry growth and crop diseases. Software will be designed and deployed for use on mobile phones that will process field images to identify weeds, diseases, and plant development in real-time.

View Full Project Description
Faculty Supervisor:

Travis Esau

Student:

Partner:

Wild Blueberry Producers Association of Nova Scotia

Discipline:

Engineering

Sector:

Agriculture; Information and cultural industries

University:

Dalhousie University

Program:

Accelerate

Effects of host, pathogen, and environmental factors on increased incidence of European foulbrood in honey bee colonies pollinating blueberries

The estimated value of honey bee pollination in the form of increased crop yields in Canada is $2 – $4 billion. In recent years, beekeepers pollinating blueberries have reported an increased incidence of European foulbrood (EFB). EFB is a bacterial disease of honey bee larvae which can lead to larval starvation and death. Risk factors for EFB disease during blueberry pollination include pesticide exposure, increased virulence of bacterial strain, decreased diversity or quality of pollen, and/or inadequate brood care; however, there is a lack of scientific evidence to determine which factors are responsible for the recent increased incidence of EFB. We will investigate interaction between host, pathogen, and environment to determine if any of these factors contribute to the increased susceptibility of honey bees to EFB. Through mitigation of the identified factors, we can enhance the health and productivity of honey bee colonies and the blueberry crops they pollinate.

View Full Project Description
Faculty Supervisor:

Elemir Simko

Student:

Partner:

British Columbia Blueberry Council;Saskatchewan Beekeeper's Development Commission

Discipline:

Life Sciences

Sector:

Agriculture

University:

University of Saskatchewan

Program:

Accelerate

Coronavirus adhesion to contact lenses

A large proportion of people require vision correction, and about 10% of them prefer using contact lenses. However, one of the key questions that has arisen is whether wearing contact lenses is safe during this pandemic. Currently this question remains highly debated and further scientific studies are required to adequately answer this question. Two important factors that may help removal of the viruses from contact lenses are the use of cleaning solutions and the human blinking reflex. The aim of the study is to evaluate whether contact lens care solutions and the blinking reflex are sufficient in removing coronaviruses from contact lenses.

View Full Project Description
Faculty Supervisor:

Lyndon Jones

Student:

Partner:

OcuBlink

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Projets migratoires et remigrations des migrants africains vivant au Canada et en Belgique

Ce projet de recherche vise à comprendre le rôle de (1) l’intégration, (2) de la situation familiale, (3) du contexte dans les pays d’origine, (4) des contextes dans les pays de destination, et (5) de l’histoire migratoire passée dans l’élaboration des projets migratoires et la rémigration des migrants africains à partir des données quantitatives et qualitatives. Les données quantitatives proviennent de l’Enquête POMBE, du Registre national belge couplé aux données de la Banque carrefour de la sécurité sociale, de données contextuelles DEMIG POLICY, et d’autres bases de données sur les migrations africaines au Canada. Les données qualitatives proviendront des entretiens qualitatifs multi-sites, particulièrement en Belgique et au Canada. Les (3) objectifs spécifiques du séjour de recherche au Canada est de mener des entretiens qualitatifs auprès des migrants africains d‘origine congolaise (RDC), rwandaise, burundaise et camerounaise âgés de 25-55 ans pour affiner les hypothèses de recherche et approfondir les explications des résultats des analyses quantitatives, d’accéder aux données quantitatives sur les migrations africaines au Canada et enfin bénéficier de l’expérience en matière de gestion et analyse des données mixtes sous la direction de Anne Calves.

View Full Project Description
Faculty Supervisor:

Anne Calvès

Student:

Partner:

Université Catholique de Louvain

Discipline:

Sociology

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Investigating mycelial-plant biomass mat application to reduce early-colonizing weeds in row-crop agriculture

The intern will be investigating the use of plant crop biomass filled with fungal mycelium as means of stopping early-colonizing weeds in row crop agriculture. The crop biomass will be applied to the fields in liquid form and will solidify into a mat-like barrier. The intern will be coming up with the correct liquid formula in lab, and testing this initially in greenhouse trials. Once a suitable formula has been found, it will be produced at a larger scale and tested in fields owned by the industrial partner. In these larger trials, the intern will be measuring how effective the mat barrier is, as well as other soil values. The industrial partner will benefit by being able to manage weed control in a more environmentally friendly manner as well as potentially reduce the fuel required, and the amount of field tillage needed to control the weeds.

View Full Project Description
Faculty Supervisor:

Greg Thorn

Student:

Partner:

Natures Balance

Discipline:

Physics

Sector:

Agriculture

University:

The University of Western Ontario

Program:

Accelerate

La voix des jeunes dans le grand dialogue régional pour la transition sociale et écologique

Le projet vise à trouver les meilleures pratiques permettant d’inclure la voix des jeunes au sein d’un projet citoyen sur les enjeux de transition socio-écologique : le Grand dialogue régional pour la transition au Saguenay Lac-Saint-Jean. Les jeunes seront directement impactés par les grands bouleversements en cours : changements climatiques, chute de la biodiversité, hausse des inégalités. Dans cette optique, nous considérons les jeunes comme des citoyens à part entière dont les aspirations méritent d’être incluses et prises en compte dans un processus de concertation. Cette volonté d’inclusion de la voix des jeunes implique un changement d’approche en matière de participation publique, pour en faire de véritables acteurs impliqués dans les décisions. La recherche inclut une revue de littérature sur les meilleures pratiques pour l’inclusion des jeunes dans le débat public, ainsi que le développement et l’expérimentation, en collaboration avec le partenaire, de trousses d’animation pour des publics jeunesse.

View Full Project Description
Faculty Supervisor:

Olivier Riffon

Student:

Partner:

Conseil régional de l’environnement et du développement durable – Saguenay-Lac-Saint-Jean

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Université du Québec à Chicoutimi

Program:

Accelerate

Autobot: Data-driven metadata tagging of building automation systems

As Building Automation Systems (BAS) are becoming a standard in commercial buildings, and additional 3rd party applications can help buildings owners gain insights from their BAS, structured metadata management becomes the key to success. However, as converting traditional sensors naming convention to structured tagging systems is an expensive and time-consuming process, this project aims at automating the process. By leveraging modern Machine Learning techniques combined with Rule-based systems, Autobot is developed to automate the process. This project builds on previous research at Brainbox AI (Mishra, et al., 2020) to apply the software to additional building types and improve the process’s overall performance.

View Full Project Description
Faculty Supervisor:

Adam Rysanek

Student:

Partner:

BrainBox AI

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Previous
1…1,7941,7951,7961,7971,7981,7991,800…2,543
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe