Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

29 670 projets achevés

2811
AB
4990
C.-B.
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projets par catégorie

Densification of Heat-Sensitive Protein/Fibre Biomass

The proposed project with GNC Bioferm Inc. will explore the feasibility of pelletizing heat-sensitive
protein and fibre-rich biomass containing feed enzyme. The enzyme is used to improve the
digestibility of the diet and improve animal performance of poultry and swine. Since the densification
process involves heat, it is worthy to investigate whether lowering temperature of the process
(pelleting) and reducing the biomass moisture content will form durable pellets by tests using a single
pelleting unit. If durable pellets are formed, the optimized variables are identified and the enzyme
activity of the pellets is assessed. Overall, the project will initially investigate the very popular form of
feed manufacturing (pelleting) that will not damage GNC Bioferm’s product characteristics..

Voir la description complète du projet
Superviseur du corps professoral :

Lope Tabil

Étudiant :

Partenaire :

GNC Bioferm

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Saskatchewan

Programme :

Accelerate

Modelling Acute Respiratory Distress Syndrome (ARDS) in Precision Cut Lung Slices

With the support of Mitacs, Dr.Ynuk Bossé’s laboratory and SCIREQ will collaborate to refine the techniques and instrumentation needed to improve Precision-Cut Lung Slices (PCLS) studies. PCLS are thin organ slices prepared from fully developed organs. They represent a “mini-model” that closely resembles the whole lung in both anatomical structure and rich cellular environment. Dr.Bossé and SCIREQ’s joint efforts will help scientists better understand and treat lung diseases, such as the Acute Respiratory Distress Syndrome (ARDS) in the context of COVID-19. The support of Mitacs will help SCIREQ accelerate its development of novel technologies and leverage Dr.Bossé’s work in lung physiology to evaluate COVID-19-mediated deaths from respiratory failure.

Voir la description complète du projet
Superviseur du corps professoral :

Ynuk Bossé

Étudiant :

Partenaire :

SCIREQ Scientific Respiratory Equipment

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Université Laval

Programme :

Accelerate

Geomicrobiological assessment of advanced customizable leach columns

Acid mine drainage (AMO) is a significant environmental concern at many hard rock mines. Laboratory-based predictive tests are used to determine if AMO will be generated by mine wastes, but these tests do not generally examine the role of microbes in acid-generating processes. This study will extend the capabilities of the advanced customizable leaching columns (ACLCs) developed by M.A. Okane Consultants Inc. to include microbiological factors. We will use a combination of geochemical, mineralogical, and microbiological analyses to compare the ACLC tests to field waste rock conditions. The results will be used to improve existing methods used for predictive testing and enhance Canada’s capacity to manage mine waste responsibly in the future. The two interns will be trained in setup and sampling of ACLCs, and the projects will provide them with experience analysing data from these systems, and the opportunity to build their network and gain some hands-on industry experience.

Voir la description complète du projet
Superviseur du corps professoral :

Benoit Plante;Joyce McBeth;Joyce McBeth;BenoÎt Plante

Étudiant :

Partenaire :

Okane Consultants

Discipline :

Earth science

Secteur :

Mining; Environmental Science and Technology; Sustainability & the Environment

Université :

Université du Québec en Abitibi-Témiscamingue; University of Saskatchewan

Programme :

Accelerate

A scenario-based modelling framework for projecting COVID-19 infections and deaths

The speed and extent of the COVID-19 pandemic has challenged our abilities, as forecasters, like never before. Early data on the disease’s epidemiology is limited, records of cases and infections are incomplete, and the dynamics and scientific understanding of the disease are changing daily. Scientists from around the world have been quick to respond by developing a plethora of mathematical models to predict future COVID-19 infections and deaths. Delivering this science to decision makers in an actionable form, however, remains a challenge. Our solution to this challenge has been to develop a general software framework for providing real-time forecasts of COVID-19 infections and deaths that can be rapidly deployed for use anywhere in the world. Our framework allows end users to generate forecasts that are specific to their jurisdiction and questions. The result is a tool that generates locally responsive, meaningful, and ultimately actionable forecasts.

Voir la description complète du projet
Superviseur du corps professoral :

Sarah (Sally) Otto

Étudiant :

Partenaire :

Apex Resource Management Solutions

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Application of Actigate Targeted Performance Technology for the Treatment of Wheat Rust

Fungal rust infection of wheat is an ongoing problem in Canada and use of commercial fungicides is increasing while the problem of fungicidal resistance is also arising. This project aims to develop optimized fungicidal treatments for fungal rust infection of wheat. The issue of inefficient penetration of commercial fungicides will be addressed by applying a specific technology to enhance delivery of the active ingredient to target fungal pathogens thereby reducing the dose of fungicidal application. The mechanism of action of the resulting fungicidal formulations will also be explored. Decreasing the dose of synthetic chemical active ingredients will reduce their impact on the health of non-target organisms and provide benefits to the environment, while reducing costs for producers.

Voir la description complète du projet
Superviseur du corps professoral :

Gurcharn Brar;Guus Bakkeren

Étudiant :

Partenaire :

Terramera Inc

Discipline :

Life Sciences

Secteur :

Agriculture; Manufacturing; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Coda Continuous Delivery AI Platform

The Coda Continuous Delivery platform leverages advanced artificial intelligence techniques to accelerate innovation in software development and delivery. The project aims to improve the speed in which a software development team can achieve quality code and reduce the number of issues seen by customers in production.
Using a continuously learning platform, Coda catalogues historical issues and code updates and creates insights in near-real time that can be used by software professionals to serve customers better.

Voir la description complète du projet
Superviseur du corps professoral :

Jiannan Wang

Étudiant :

Partenaire :

Striven Consulting Inc.

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Development of a Proof of Concept for a System to Increase Success Rates of Organ Transplant and Donation Matches

Transplantation is the preferred treatment for patients whose kidneys have failed. There is an ever-growing gap between patients in need for a transplant and available donors. In response to this need, there has been an increase transplantation of donors who experienced circulatory determined death (DCD). However, many potential DCD donors fail to end up in transplantation. Moreover, patients who need to return to dialysis because of transplant failure are at an increased risk for early death, experience decreased quality of life, and contribute to an increased burden to the health care system. During this internship, we will use Artificial Intelligence to facilitate the identification of eligible donors and prediction of successful DCD organ utilization. Finally, we will provide decision aids to help clinicians pair transplant candidates with the best chances for excellent long-term transplant outcomes.

Voir la description complète du projet
Superviseur du corps professoral :

Ruth Sapir-Pichhadze

Étudiant :

Partenaire :

BI Expertise

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Artificial Intelligence

Université :

Research Institute of the McGill University Health Centre

Programme :

Accelerate

Modeling and forecasting the popularity of YouTube videos

Many YouTube content owners currently make money from their videos by allowing YouTube to
display ads next to them. For these content owners, increasing the popularity of the video leads to
more revenue, and therefore it is of great importance. The purpose of this project is to design an
algorithm to predict the popularity of videos. The algorithm will look at past patterns of views for
videos and leverages this information to predict the future views for them. Using this algorithm,
YouTube content creators can get an estimate as to how popular their videos will become and
subsequently, how much money they will be making. They can then leverage this information to adjust
and adapt their marketing and content creation strategies.

Voir la description complète du projet
Superviseur du corps professoral :

Jiangchuan Liu

Étudiant :

Partenaire :

BroadbandTV

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Enhanced carbon capture in manipulated mine tailings

This project will study the effects of CO2 sequestration in mine waste tailings using a robotic mixing system. Mine waste tailings represent a large opportunity for carbon storage, assisting mining companies with goals to improve their carbon footprint. Robotic mixing of the surface of tailings is expected to accelerate carbon storage and mixing and measurement systems will be tested.

Voir la description complète du projet
Superviseur du corps professoral :

Gregory Dipple

Étudiant :

Partenaire :

Copperstone Technologies Ltd.

Discipline :

Earth science

Secteur :

Environmental Science and Technology; Mining; Sustainability & the Environment

Université :

The University of British Columbia

Programme :

Accelerate

Sources and sinks for potentially hazardous elements in mine waste

Mining is important to the Canadian economy but also generates large quantities of waste rock. Water percolating through some waste rock piles dissolves metals that can become hazardous to ecosystems. Laboratory tests are used to simulate this process. The intern will examine a suite of samples from a multi-year laboratory test to identify the source minerals and new minerals (sinks) that may have formed during the experiment. She will also work with the partner to determine the mineral reactions that occurred during the tests. The focus will be on nickel and cobalt, two metals mined in Canada and used for electric car batteries. The partner organization will benefit from access to cutting-edge analytical equipment at Queen’s

Voir la description complète du projet
Superviseur du corps professoral :

Heather Jamieson

Étudiant :

Partenaire :

pHase Geochemistry Inc

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

Queen's University

Programme :

Accelerate

Investigating the use of mixed reality technologies as a solution to help mitigate the challenges under the COVID-19 restrictions for artistic collaboration and education

Traditionally, artistic communities relied on face-to-face encounters to learn their skills, collaborate, and showcase their work. Due to COVID-19, performances in the arts have been abruptly halted and traditional music lessons take place at a studio has stopped.
This project aims to examine and provide a prototype solution to mitigate the challenges in artistic collaboration and education that are the result of the COVID-19 pandemic. We will focus on employing asynchronous and real-time video and 3D data streaming technologies as an alternate means of creating an immersive environment that will be more satisfied with the existing system. We hope to establish collaboration models (including UI/UX, control and communication, and trust/privacy) with these technologies for education and creative collaboration.
There is an immediate need to explore a new paradigm for performing, teaching, collaborating, and learning in the artistic communities. This research project will benefit practitioners and researchers on how advanced technologies can be used for day-to-day learning and education of our future artists and extending the collaborative creative practices of artists, whether in-studio or online.

Voir la description complète du projet
Superviseur du corps professoral :

Herbert Tsang

Étudiant :

Partenaire :

Credo Interactive Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Trinity Western University

Programme :

Accelerate

Open Concoctio, une plateforme de recherche collaborative pour le milieu de la restauration

L’industrie de la restauration est une composante charnière du système bioalimentaire québécois. Or, elle a beaucoup souffert de la crise sanitaire causée par la COVID-19. Sa relance sera facilitée par le développement d’innovation de tout type. Pour supporter l’industrie, GastronomiQc Lab, une unité mixte de recherche en collaboration avec la Société des Casinos du Québec, propose de créer une plateforme de recherche collaborative, Open Concoctio, qui permettra de rassembler virtuellement autour de projets de recherche des chercheurs et des acteurs du milieu de la restauration. Afin d’en faire une première démonstration, ce projet s’attaquera au défi de substitution d’allergènes dans le domaine de la pâtisserie. Les solutions développées avec Open Concoctio bénéficieront à l’ensemble de l’industrie de la restauration québécoise.

Voir la description complète du projet
Superviseur du corps professoral :

Sylvie Turgeon;Véronique Perreault

Étudiant :

Partenaire :

Société des Casinos du Québec

Discipline :

Physics

Secteur :

Arts, entertainment and recreation

Université :

Université Laval

Programme :

Accelerate

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