Projets novateurs réalisés

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

31 620 projets complétés

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856
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696
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899
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9419
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9858
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98
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619
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Projets par catégorie

Learning Spatial and Temporal Attention for AI-driven Virtual Sports Trainers

Fitness apps are widespread, used by professionals and casual users alike. Existing apps only give examples, they don’t correct. The proposed research closes this feedback loop by using the video camera on mobile phones as an analysis tool to judge and correct the execution of common gym exercises. This is particularly important for weight lifting, where inappropriate poses and motions commonly lead to injury. Furthermore, small improvements in form can lead to large improvements in efficiency. Besides huge practical impact potential, the developed approaches will extend the video classification literature to further increase accuracy and applicability to everyday scenarios.

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Superviseur du corps professoral :

Helge Rhodin

Étudiant :

Partenaire :

Flex AI

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Rates of Change in Organizational Identification During Organizational Integration

A significant part of people’s self-concept, who and what they think about themselves and who they are, is based on the groups and organizations they consider themselves part of, including their workplace. People who identify with their workplace are more committed to and satisfied with their jobs, and are less likely to leave. When a work organization integrates with other organizations, however, a new organization is born, which employees don’t yet identify with.
This research will track employees from multiple mental health and substance abuse organizations throughout an integration, to better understand how quickly people come to identify with a newly formed organization, whether it matters if they previously worked for a larger or smaller organization, and whether all of the benefits of identification develop at the same time. By understanding when and how identification happens, we can maximize the well-being and productivity of the employees and organizations involved.

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Superviseur du corps professoral :

James Olson;Hayden Woodley

Étudiant :

Partenaire :

Canadian Mental Health Association (Elgin Middlesex)

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology; Public Service, Policy, and Governance

Université :

The University of Western Ontario

Programme :

Accelerate

Examining Let’s Talk Science’s Canada 2067 Learning Roadmap in evolving approaches to STEM education in a digital world

The current project aims to examine the knowledgebase of both teaching candidate (pre-service) and in-service teachers in 21st century competencies of digital literacy and computational thinking. Additionally, this project seeks to understand how these competencies may be incorporated into faculty of education training programs for teaching candidates. The intern will design, administer, and analyze surveys in partnership with the partner organization through professional development and learning opportunities for in-service teachers. As well, the intern will analyze the current curriculum of Canadian university/college programs in teacher education for themes and courses on digital literacy, computational thinking, and related constructs. This will further her interest in teacher education and school-based research methodologies and provide her with valuable experience with the partner organization to observe how research and industry intersect. The partner organization will gain insight into how the Canada 2067 recommendations could be applied in practice and which approaches may be more successful than others in teacher education.

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Superviseur du corps professoral :

Julie Mueller

Étudiant :

Partenaire :

Let’s Talk Science

Discipline :

Sociology

Secteur :

Education

Université :

Wilfrid Laurier University

Programme :

Accelerate

Hybrid bacteriophage platforms for the production of non-invasive, self-adjuvanted, and targeted DNA vaccines against SARS-CoV-2

Our project aims to design and develop COVID19 vaccines engineered from viruses that infect bacterial cells only. SARS-CoV2 pathogenic components have been identified and modified to develop the vaccine. Although these components are pathogenic in nature, they are modified to pose no harm. The vaccine is designed to be administered intranasally, where it relocates to the lower respiratory tract. Upon reaching respiratory cells, the vaccine binds to respiratory cells and delivers the carried component. The delivered component will self-assemble into a SARS-CoV2 shape mimic. The released SARS-CoV2 mimic is picked up by immune cells and then generates an immune response. The SARS-CoV2 also has the ability to compete with the virulent SARS-CoV2 on cellular binding sites thus preventing the later infective mechanism.

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Superviseur du corps professoral :

Marc Aucoin;Roderick Slavcev

Étudiant :

Partenaire :

Theraphage Inc.

Discipline :

Life Sciences

Secteur :

COVID-19 related Research and Solutions; Health and Related Sciences & Technology; Biotechnology; Pharmaceuticals

Université :

University of Waterloo

Programme :

Accelerate

Modélisation d’une centrale hydroélectrique avec système de stabilisation de puissance

La plupart des centrales hydro-électriques de grande envergure du Canada ont été construites il y a environ 50 ans. Durant les prochaines années, plusieurs d’entre-elles devront être modernisées avec des technologies beaucoup plus avancées qu’à l’époque. Pour tirer profit de ces nouvelles capacités de communication et de contrôle, le recours à des simulations numériques validées est requis. Ce projet de recherche a donc pour objectif de développer le modèle numérique d’une centrale complète, comprenant plusieurs groupes de production (générateurs) qui opèrent en parallèle. Ceci permettra à l’entreprise partenaire de déployer ses technologies actuelles ainsi que d’acquérir une expertise scientifique plus avancée qui ouvrira la porte vers de nouveaux marchés très lucratifs.

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Superviseur du corps professoral :

Handy Fortin-Blanchette

Étudiant :

Partenaire :

ANDRITZ Canada Inc.

Discipline :

Engineering

Secteur :

Energy and Utilities; Green/Alternative Energy

Université :

École de technologie supérieure

Programme :

Accelerate

Mitigating Healthcare system challenges and risks in relation to pandemics such as COVID-19: a human resource planning approach using MeshAI.io platform

The shortage of healthcare personnel is a prevalent problem, primarily due to the substantial workloads caused by the novel Coronavirus strain. Moreover, due to the overwhelming and extremely dynamic situation in the healthcare industry caused by the COVID-19 pandemic, staff scheduling becomes very crucial. This research project in collaboration with the MeshAI.io platform intends to propose an automated staff scheduler in the healthcare industry that ensures stress-free task delegation and smarter staff scheduling decisions in a very short time. The main challenges during such times undertaken by this project are 1) prevent overburn schedules for staff to boost performance, and 2) smart schedule to restrict unnecessary contact among the staff handling COVID-19 and regular patients to limit possible exposure to the virus. This research project can benefit the MeshAI.io platform to deal with uncertainties and challenges in the healthcare industry utilizing machine learning or artificial intelligence with smart human resource allocation.

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Superviseur du corps professoral :

Salimur Choudhury

Étudiant :

Partenaire :

Mesh AI

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

Lakehead University

Programme :

Accelerate

Computational Biochemistry Platform for Crop Health

The global population is rising, generating a need to produce more food to feed the world. Along with climate change, the food crops across the world are facing growing challenges from pests, pathogens and viruses that attack and destroy crops. In Canada, we export more than $7 billion worth of wheat every year. The Terramera-led Computational Biochemistry Platform project is tackling this crop loss with a research consortium bringing together 9 companies and research organizations. Simon Fraser University is an integral part of the consortium. The interns funded by the project will work on cutting edge technologies involving Artificial Intelligence, Machine Learning, Robotics and Plant Pathology to accelerate research towards safer and cleaner pesticides for a sustainable future. Terremera will be able to develop a state of the art computational platform to significantly accelerate research aimed at reducing the synthetic pesticides required for sustainable food production.

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Superviseur du corps professoral :

Martin Ester;Mo Chen;Ghassan Hamarneh

Étudiant :

Partenaire :

Terramera Inc

Discipline :

Computer science

Secteur :

Agriculture; Manufacturing; Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

WiFi Indoor Localization and Geofencing

Many mobile devices that are used in an enterprise are considered mission critical as they are heavily relied upon, allowing a worker to do their job. Locating these devices anywhere and anytime becomes that much more important, especially if they become lost or stolen. SOTI’s technology leverages GPS on a device to track its location and can also alert if a device leaves/enters a predefined geographical fence on a map, otherwise known as geofencing. Outdoor and GPS based geofencing is widely adopted by many SOTI customers, yet indoor location and geofencing remain relatively novel. Many existing solutions rely on BLE sensors, but they require constant hands-on maintenance and offer low location accuracy. While there are multiple technological approaches to enable indoor location, SOTI is interested in researching the indoor location and geofencing capabilities through analysis of telemetry from already deployed enterprise Wi-Fi capabilities. This approach relies on existing infrastructure and does not require installation of additional sensory hardware and completely avoids the corresponding maintenance overhead.

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Superviseur du corps professoral :

Eyal de Lara

Étudiant :

Partenaire :

SOTI Inc

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Évaluation des performances antibactériennes et antiadhésives d’un revêtement nanoparticulaire pour des applications biomédicales

Les biofilms sont associés à 75% des infections bactériennes humaines. L’accumulation de bactéries s’adhérant aux surfaces peut devenir une problématique importante dans le domaine médical, notamment lors de l’implantation de dispositifs médicaux comme les sondes urinaires ou la transfusion de produits sanguins. Un nouveau revêtement pouvant être appliqué en fine couche à la surface des matériaux qui les composent est actuellement en développement. Les propriétés antimicrobiennes du revêtement pourraient éviter la croissance bactérienne et ultimement diminuer les risques d’infections chez les patients qui bénéficient de tels soins. L’objectif du projet est de vérifier l’efficacité du revêtement à tuer les bactéries sans compromis sur la qualité des produits sanguins. Travaillant quotidiennement avec des échantillons sanguins, Héma-Québec est toujours à l’affût de technologies innovantes pouvant améliorer l’innocuité de ses produits

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Superviseur du corps professoral :

Steve Charette

Étudiant :

Partenaire :

Héma-Québec (Montreal)

Discipline :

Life Sciences

Secteur :

Biotechnology; Health and Related Sciences & Technology; Nanotechnology

Université :

Université Laval

Programme :

Accelerate

Community-Based Research to Determine Rural Community Needs

This research project will contribute to the work of the Rosetown Regional Family and Community Support Services, Inc. (RRFCSS) in completing a comprehensive community assessment for Rosetown, Saskatchewan. This community assessment will provide information to the organization that will assist with priority planning and decision making. The primary aims of the community assessment are to identify key findings that will outline the community’s resources and strengths; concerns and gaps; and recommendations and local solutions. The comprehensive community assessment will include development of an assets inventory through secondary data sources along with several methods that allow for community member participation (focus groups, key informant interviews, community dialogue forum). This assessment will aim to gauge accessibility, availability and awareness of community services in relation to different age categories (i.e., seniors, young children, adolescents). A component of the community assessment will be to determine the readiness of community…

Voir la description complète du projet
Superviseur du corps professoral :

Bonnie Jeffery

Étudiant :

Partenaire :

Rosetown Regional Family and Community Support Services Inc

Discipline :

Sociology

Secteur :

Université :

University of Regina

Programme :

Accelerate

Multi-OMIC biomarkers to predict neonatal vaccine response

Many babies die within the first month of life from infectious diseases. Despite successful neonatal vaccination programs, it is not yet possible to accurately predict if a vaccine will work on a newborn child, at the individual “personalized” level. We need to better understand the mechanism of antibody generation after vaccination to improve immunization programs. This project will work in that direction by analyzing novel data obtained from neonates in The Gambia and then validate the findings with data from Papua New Guinea (PNG). We will explore genes (RNA), proteins, cytokines and immune cell datasets for molecular mechanisms and predictive biomarkers that indicate the antibody generation. These datasets will also be integrated to identify new areas of biological understanding that may not be identified in single dataset analysis. The results of this project will provide new perspectives to improve vaccine protocols across the world and aid in furthering the health care mission of the PROOF Centre (our partner organization).

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Superviseur du corps professoral :

Scott J. Tebbutt

Étudiant :

Partenaire :

PROOF Centre of Excellence

Discipline :

Life Sciences

Secteur :

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

Université :

The University of British Columbia

Programme :

Accelerate

Chemical targeting of HDAC6 as a strategy for anti-viral drug discovery

The emergence of viral pandemics, exemplified by the Coronavirus Disease (COVID-19), has exposed the urgent need for the development of viral infection therapeutics. In a short span of time, more than 1.5 million individuals have been infected and there have been nearly 90, 000 deaths worldwide. Our objective is to pharmacologically validate a new strategy for viral infection therapeutics by designing molecules that inhibit HDAC6, a protein implicated in viral entry. To address our objective, we will develop and optimize chemical compounds that target HDAC6 activity and then we will test the effects of these compounds on coronavirus entry and their anti-viral effect in cells. With our research we hope to validate a novel strategy for the development of anti-viral therapeutics to benefit the research community and advance public health objectives during a pandemic.

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Superviseur du corps professoral :

Matthieu Schapira

Étudiant :

Partenaire :

Structural Genomics Consortium

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

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Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.