Projets novateurs réalisés

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

30 508 projets complétés

2882
AB
5105
C.-B.
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projets par catégorie

Ultra-compact GaN based integrated industrial drive for PCB stator motors

PCB stator motors are an emerging research area with cost and efficiency benefits compared to traditional motors. PCB stator motors with integrated variable frequency drives have the potential for significant power density improvements if Galium Nitride (GaN) power semiconductors are used in the drive. In this project, emerging high voltage GaN semiconductors will be used to develop a high-power density variable frequency drive compatible with 480 V grid-connected industrial applications. This drive will provide Celestica with a market-leading integrated motor drive product in fields such as pumps and air conditioners.

Voir la description complète du projet
Superviseur du corps professoral :

Peter W. Lehn

Étudiant :

Partenaire :

Celestica

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Toronto

Programme :

Accelerate

Assessment of biomimetic transepithelial implant integration in an organ-on-a-chip skin equivalent model

In Canada, one out of every nine hospital patients acquires infections annually, resulting in a minimum of 8,000 deaths. These infections often stem from inadequate sealing of transepithelial medical devices, which breach the skin’s protective barrier. While current treatments rely on antibiotics, the prevention of infections could be achieved through effective integration of medical devices with the skin. Inspired by the natural connection between teeth and gums, Professor Cerruti and team have developed biomimetic cementum coatings for these devices. However, assessing their efficacy traditionally involves animal tests, which don’t precisely replicate human physiology and face ethical concerns.
We propose using a “synthetic skin” developed by Professor Sriram’s group to assess the developed coating. This artificial, three-dimensional tissue, created through microfluidics and organ-on-chip technology, mimics human skin and gum physiology without resorting to animal testing. The research aims to validate the “synthetic skin” as a humane alternative for assessing implant integration, specifically testing the compatibility of the biomimetic coatings with transepithelial implants. Successful outcomes could improve medical device testing, reduce infections, and enhance integration for implants, potentially saving lives in Canadian hospitals and globally.

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Superviseur du corps professoral :

Marta Cerruti

Étudiant :

Partenaire :

National University of Singapore

Discipline :

Engineering

Secteur :

Education

Université :

McGill University

Programme :

Globalink Research Award

Interactions of invasive and native submerged aquatic vegetation and impacts on ecosystem services

Submerged aquatic vegetation (SAV) are a crucial component of freshwaters that provide high value ecosystem services, including supplying habitat for diverse organisms and maintaining clear water. However, native SAV can be outcompeted by invasive ones that tend to grow in excess and are perceived as a nuisance by recreational users. Invasions are thus often heavily controlled for by a variety of techniques such as mowing, herbicide, drawdown, and many more. These control techniques have high cost, often have limited success and can be detrimental to freshwater ecosystems. At the same time in water bodies degraded by nutrient pollution, invasive SAV can help the native community to recover from past perturbation. Thus, no management could be the best solution in some places. Through a mesocosm experiment in lake Stechlin, Germany, this project will investigate how invasive SAV management could be unnecessary in lakes degraded by nutrient pollution. Through model simulations, this project will also compare how native and invasive SAV impact multiple ecosystem services beyond recreation. This project will bring back to Canada rare expertise on aquatic plant ecology and will provide both institutions novel information for the sustainable management of freshwater ecosystems.

Voir la description complète du projet
Superviseur du corps professoral :

Irene Gregory-Eaves

Étudiant :

Partenaire :

Leibniz-Institut für Gewässerökologie und Binnenfischerei

Discipline :

Earth science

Secteur :

Water; Sustainability & the Environment; Environmental Science and Technology

Université :

McGill University

Programme :

Globalink Research Award

Rapid screening of Hepatitis A virus in fresh produce processing facilities using a hybrid paper/polymer-based microfluidic device based on recombinase polymerase amplification and lateral flow assay

Hepatitis A virus (HAV) is responsible for most diagnosed human hepatitis infections. HAV spreads via the fecaloral route, either through person-to-person contact or via contaminated water and foods. PCR serves as the
gold standard for detecting enteric viruses, but has limitations that have hindered the application in resourcelimited environments. A novel molecular detection assay based on isothermal nucleic acid amplification is
proposed for the current project to detect HAV. To further simplify the analysis, a novel device incorporating nucleic acid extraction, nucleic acid amplification and result visualization will be developed using paper-based
microfluidic “lab-on-a-chip” device. The overall detection of HAV can be achieved within 1 hour with reduced cost and suitable for in-field detection of HAV in food products.

Voir la description complète du projet
Superviseur du corps professoral :

Qian Liu;Xiaonan Lu

Étudiant :

Partenaire :

Canadian Produce Marketing Association

Discipline :

Life Sciences

Secteur :

Agriculture; Other services (except public administration)

Université :

McGill University

Programme :

Accelerate

Animal Recognition From Natural Scene Images

With the development of imaging technology and research progress on wildlife monitoring, camera trapping becomes one of the best ways to record the presence and activity of mammals in a given area. The approach to monitoring wildlife can assist people in the community with decision making about preserving biodiversity. Camera trapping generates a huge volume of image data. In the past, experts analyzed such image data manually, which required domain knowledge and took significant time. In this project, we aim to develop an animal recognition system that can help analyze wildlife images, which record the presence of large mammals such as deer, moose, wolves, bear, etc., and automatically identify species of those animals. Such a system can help experts save significant time and better understand wildlife images and activities of animals around the certain area in a reasonable time. A Windows environment application will be built. This work will support ecologists to make a better decision on protecting and preserving the biodiversity in the province of Alberta.

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Superviseur du corps professoral :

Osmar Zaiane

Étudiant :

Partenaire :

Alberta Innovates - Technology Futures (Vegreville)

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

Design and Construction of a Prototype micro-Combined Heat and Power Unit operating on an organic Rankine cycle fueled with Hydrogen Enriched Natural Gas up to 100 % Hydrogen

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

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Superviseur du corps professoral :

Michael Pegg

Étudiant :

Partenaire :

Net Zero Atlantic

Discipline :

Engineering

Secteur :

Clean Technology; Energy and Utilities; Manufacturing and Construction

Université :

Dalhousie University

Programme :

Accelerate

Understanding the dependence on convenience: towards new patterns of food consumption

This project explores the post-pandemic impact of the rise of convenience on consumer eating habits. As convenience becomes a major driver of the food industry, our research examines how this emphasis can obscure essential elements such as ritual, culture, social connections, impacting the perception and pleasure of eating. Our research questions target the influence of convenience on food choices and the correlation with pleasure, while assessing its economic impact. The study will use a mixed-method approach, combining surveys, experiments, and interviews to explore the consumption habits of four generations. This research will inform companies, decision-makers and stakeholders on how to harmonize convenience and food pleasures, offering strategic recommendations in a changing culinary landscape.

Voir la description complète du projet
Superviseur du corps professoral :

Jordan LeBel

Étudiant :

Partenaire :

Coopérative Radish

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

Concordia University

Programme :

Accelerate

Optimizing business attraction through enhanced incubator introduction

Business incubators have the proven ability to significantly improve the success rate of startup companies. A key factor in the potential for positive impact is ensuring alignment between the services and mission of the incubator and the needs and values of the startup company. An in-depth introduction program offers an innovative approach to assessing alignment by both parties. The objective of this project is to significantly improve existing program content and update the mode of delivery to ensure a comprehensive and positive orientation to the incubator services, ecosystem capabilities, and community stakeholder collaboration; ultimately attracting promising innovators to the local market. The project work plan includes researching the needs of target start-up companies, reviewing external program models, proposing improvements, engaging with ecosystem partners, coordinating delivery logistics and supporting evaluation.

Voir la description complète du projet
Superviseur du corps professoral :

Stuart Smyth

Étudiant :

Partenaire :

Global Agri-food Advancement Partnership

Discipline :

Business

Secteur :

Education

Université :

University of Saskatchewan

Programme :

Business Strategy Internship

Co Operation Student – Deep learning applications in multispectral retinal imagery

The internship opportunity involves active participation in an agile AIS AI team dedicated to advancing the DeepMSI AI product. The intern will engage in impactful research under the AI team lead, focusing on refining core AI algorithms with a special emphasis on multispectral retinal image processing and deep learning. The objectives include exploring advancements in domain adaptation, semi-supervised pre-training, multi-scale feature fusion, and context awareness in convolutional and transformer architectures. Additionally, the intern will contribute to the company’s AI software suite and cloud platform, optimizing processes and expanding infrastructure. The role extends to addressing software-related challenges, introducing new functionalities, and improving overall performance. Miscellaneous tasks, such as data acquisition workflow management, doctor support during biomarker labeling, and documentation writing, further enrich the intern’s experience in diverse aspects of AI workflows.

Voir la description complète du projet
Superviseur du corps professoral :

François Légaré

Étudiant :

Partenaire :

AI-Spectral Technology Corp

Discipline :

Physics

Secteur :

Artificial Intelligence; Biotechnology; Biomanufacturing

Université :

Université du Québec : Institut national de la recherche scientifique

Programme :

Business Strategy Internship

Study of extracellular vesicles in cardiometabolic disease

This project will focus on transforming scientific research excellence into improved healthspan via the development of
improved diagnostics to allow personalized therapeutic strategies, with novel treatment and rejuvenation approaches
targeting cardiometabolic disease. Exciting preliminary data has been generated by the York University research
team. The Konkuk University research team have the established expertise to capitalize on the early discoveries
made at YorkU. Hence, the project will be of great mutual benefit for both institutions. Success of this research also
has more far-reaching implications in new therapeutic approaches and health benefits for our population.

Voir la description complète du projet
Superviseur du corps professoral :

Gary Sweeney

Étudiant :

Partenaire :

Konkuk University

Discipline :

Life Sciences

Secteur :

Biotechnology; Nanotechnology; Health and Related Sciences & Technology

Université :

York University

Programme :

Globalink Research Award

Étude de l’impact environnemental et financier d’un modèle mutualisé en agriculture urbaine sur l’activité de ses membres dans une perspective de reproductibilité du modèle. Cas de la Centrale agricole.

L’objectif principal de l’étude est de documenter le modèle de la Centrale agricole en effectuant une collecte de données permettant de réaliser une évaluation environnementale et économique du modèle mutualisé sur l’activité de ses membres. Pour la coopérative, les présents travaux permettront de préciser et de générer de la donnée sur les impacts du modèle de la Centrale. Cette quantification permettra d’optimiser le modèle en place tout en justifiant le soutien à la Centrale lors de demandes de financements ou de partenariats. Aussi, ces nouvelles données permettront de légitimer la reproduction du modèle de la coopérative ailleurs au Québec pour répondre à des demandes acheminées par des municipalités, MRC et entreprises.

Voir la description complète du projet
Superviseur du corps professoral :

Frédéric Monette

Étudiant :

Partenaire :

La Centrale Agricole

Discipline :

Engineering

Secteur :

Agriculture

Université :

École de technologie supérieure

Programme :

Business Strategy Internship

Sustainable Wildfire Prevention Using RPAS and Computer Vision

This research project in Canada focuses on sustainable natural resource management, particularly in forest areas. By integrating Remotely Piloted Aircraft Systems (RPAS) and Computer Vision (CV), the project aims to improve forest fire prevention and management. Collaborating with industry partners like Spexi Geospatial, the team combines academic research with practical solutions to enhance AI-driven environmental strategies. The project develops novel approaches for forest fire detection, using orthogonal drone images labeled with a unique fire risk system. A key innovation is the use of raw (LOG) images for training CV models, considering varying natural light conditions, over conventional RGB images. The research also explores the use of oblique drone images for detailed post-wildfire assessments, offering high-resolution views of vegetation and terrain structures that are vital for thorough evaluations. This pioneering approach leverages drone-based oblique imagery for both forest fire prevention and post-event analysis.

Voir la description complète du projet
Superviseur du corps professoral :

Michal Aibin

Étudiant :

Partenaire :

Spexi Geospatial

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

British Columbia Institute of Technology

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.