Projets novateurs réalisés

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

31 620 projets complétés

2978
AB
5221
C.-B.
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projets par catégorie

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.

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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.

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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.

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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

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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.

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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.

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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

Study of the Field Plate Design and the Packaging Parasitic Effects on GaN HEMTs

In the field of power electronics, one important goal is to make low power loss and super fast switching speed. In making this goal, GaN transistors are better choices than the conventional Si devices. In this project, we investigate the GaN technology design and details with simulation tools by Crosslight Software and testing data in order to upgrade the simulation software for better predictability in the device design, fabrication and packaging.

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Superviseur du corps professoral :

Guangrui Xia

Étudiant :

Partenaire :

Crosslight Software Inc

Discipline :

Engineering

Secteur :

Information and cultural industries; Manufacturing; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

A Serious Approach to Sickness Prevention in Motion Base Simulators

Training personnel to operate machinery in the construction workplace requires a major devotion of time, resources, and safeguards. Recent methods involving virtual reality and motion base simulators have drastically enhanced the training process, but some users of these new methods report sickness and discomfort. This research aims to remedy this issue with a theoretical and data-driven approach to (1) identifying what makes a simulator nauseogenic, and (2) reducing or avoiding these patterns of motion. The expected benefits include a greater adoption of simulator technology across the market, due to a quantifiable improvement in the experience by means of a motion sickness reduction approach.

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Superviseur du corps professoral :

Anouk Lamontagne

Étudiant :

Partenaire :

Serious Labs

Discipline :

Computer science

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate

COVID-19: Indoor light-activated, self-cleaning surfaces for continuous decontamination of air in HVAC systems

The risk of airborne disease transmission is high for essential workers even while wearing PPE. Since SARS-CoV-2 can remain airborne after a sneeze or cough for several hours, ideally, there would be effective methods to remove these infectious particles directly from the air. In this work, we develop a membrane-based technology capable of serving the two-in-one function of dehumidification and decontamination of the indoor air, which can be coupled to room A/C systems. This will be achieved using nanomaterial-based membranes which incorporate a light activated antiviral coating expected to kill viruses and other microbes as they pass through the system Through development of these coatings and demonstrating their applicability and efficacy, Evercloak will significantly benefit. Access to scientific expertise, high-technical human capital, and access to a well-established lab facility at the University of Waterloo will accelerate development and fuel innovation.

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Superviseur du corps professoral :

Xiaowu Shirley Tang;Michael Pope

Étudiant :

Partenaire :

Evercloak

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Accelerate

Towards a design for an inclusive conversational agent adapted to autism and language difficulties

This project aims at developing a conversational agent for autistic people and their families, based on highly accurate training datasets while deploying Natural Language Processing (NLP) and Deep Learning (DL) techniques. This project will help promote inclusion and diversity into AI design by using the right data to train the conversational agent system to be inclusive, while taking into consideration gender roles, age, diversity and social and ethical problems. This could eventually result in a more diverse and inclusive world.

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Superviseur du corps professoral :

Janosch Ortmann;Fatiha Sadat

Étudiant :

Partenaire :

Videns Analytics

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Université du Québec à Montréal

Programme :

Accelerate

Marketing Strategies for Innovative Retail-Based Technologies and Solutions

This project will primarily
involve the commercialization and business development strategies of Optemo’s shopping platform.
While Optemo experienced positive results from its trial run with Best Buy Canada, it needs to acquire
the ideal customers in order to generate momentum and awareness of the product and its benefits. It
will be important to identify the appropriate target customers and strategies for their acquisition. In
addition, marketing research will be performed in order to understand and implement proper
marketing objectives. Optemo will benefit by working closely alongside the MBA intern throughout the
four months. Optemo will have a clearer picture of how to move forward with their proven business
concept.

Voir la description complète du projet
Superviseur du corps professoral :

Brent Mainprize

Étudiant :

Partenaire :

Optemo Inc

Discipline :

Business

Secteur :

Université :

University of Victoria

Programme :

Accelerate

Exploring The Effects Of Functional Connectivity To Depict Key Differences Between Stages Of Sleep To Determine Why REM Protects Against Seizures

The purpose of analyzing the different stages of sleep by means of functional connectivity metrics is due to the overwhelming unlikelihood of seizures occurring during REM sleep. The functional connectivity metrics are computational algorithms run on a computer that determine if the signal from one node is similar to another in any way. These nodes record the electrical potentials from the brain and are arranged around the head in a certain pattern making up an electroencephalogram (EEG) recording. Determining the proper steps of manipulating the signals to reduce any anomalies from the signal is ideal for obtaining a truly reputable result. Through this work these algorithms can be adopted by the Health Sciences Centre to improve research in the field.

Voir la description complète du projet
Superviseur du corps professoral :

Marcus Ng;Zahra Kazem-Moussavi;Zahra - to merge Kazem-Moussavi

Étudiant :

Partenaire :

Health Sciences Centre Foundation;Epilepsy and Seizure Association of Manitoba

Discipline :

Engineering

Secteur :

Health and Related Sciences & Technology; Professional, scientific and technical services

Université :

University of Manitoba

Programme :

Accelerate