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

AI-powered Wearable Health Patch for Non-Invasive Respiratory Illness and Infection Symptom Detection

XCO is a local company that specializes in wearable devices designed to improve health and human performance. The influenza, COVID-19, and other respiratory illnesses such as chronic obstructive pulmonary disease require a unique need for constant monitoring of patient symptoms temperature while reserving hospital space for critically ill patients. XCO will design and produce a wearable health patch capable of detecting changes in symptoms associated with respiratory illness and infection including oxygen saturation and temperature that can be monitored remotely by health care professionals. Dr. Philip Ainslie’s laboratory will test the wearable health patch against laboratory gold standard measurements (i.e. arterial blood gas samples and core temperature) to validate the device. XCO will benefit from this partnership as they will have access to testing performed by experts in the field and will have a market ready device by the end of the project. This will benefit the community and Canada as a wearable health patch would help to reduce the workload burdening our health care system during the current pandemic as well as annually during “flu season”.

Voir la description complète du projet
Superviseur du corps professoral :

Philip Ainslie

Étudiant :

Partenaire :

XCO Inc

Discipline :

Life Sciences

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

Développement d’un outil de valorisation des données d’historiques de prescriptions médicales

Les projet se veut une exploration des données historiques. L’objet de la recherche est de valoriser les données de profil des patients, de consultation, de prescription et de facturation. Les données considérées sont volumineuses et complexes, elles évoluent dans le temps, avec des paramètres fixes et d’autres variables. À terme, la valorisation des données disponibles vise notamment à mieux comprendre les liens entre certaines pathologies, certains traitement, la race, l’âge et les autres variables disponibles, et permettre la mise en place d’actions préventives avec les patients.

Voir la description complète du projet
Superviseur du corps professoral :

Bruno Agard

Étudiant :

Partenaire :

Centre vétérinaire DMV

Discipline :

Mathematics

Secteur :

Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

Accelerate

A Review of Indigenous Early Learning and Child Care Centre Frameworks for the Nshwaasnangong Child Care and Family Centre in the City of London, Canada

The Nshwaasnangong Child Care and Family Centre in partnership with Western University and CityStudio London provide an internship opportunity for a Western University graduate student to research, what the tensions and debates are when establishing an early learning and child care framework from an Indigenous perspective. Specifically, the intern will complete: 1) a literature review with descriptive annotated bibliography focusing on research concerning early learning and child care frameworks and ,Indigenous perspectives and such frameworks, 2) an inventory of Indigenous early learning and child care centres across Canada and their framework reports, and 3) report recommendations for the development of Nshwaasnangong Child Care and Family Centre’s early learning and child care framework. The research will be completed by searching, screening, and reviewing academic articles, reports, policy documents, and Indigenous early learning and child care outcomes frameworks across Canada and more broadly the United States, Australia, and New Zealand.

Voir la description complète du projet
Superviseur du corps professoral :

Rachel Heydon;Erica Neeganagwedgin

Étudiant :

Partenaire :

Pillar Nonprofit Network

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

The University of Western Ontario

Programme :

Accelerate

Enriching firefighter training through the development of a novel virtual reality training simulation

Virtual reality simulation is increasingly becoming a valuable tool in the training of highly-skilled and dangerous professions. Firefighting requires individuals to work in extreme environments that can be difficult or impossible to adequately train for due to cost and safety considerations. This project, in collaboration with the Oshawa Fire Services and City of Oshawa, will develop a virtual reality simulation for firefighters to train within a building collapse scenario. The interns will take part in the development of the virtual reality simulation and advance the knowledge dissemination capacity through various media and social media platforms. Overall, the Oshawa Fire Services and City of Oshawa will receive a state-of-the-art simulation that will ensure safety and complement current real-life training.

Voir la description complète du projet
Superviseur du corps professoral :

Michael Williams-Bell

Étudiant :

Partenaire :

City of Oshawa

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services; Public administration

Université :

Durham College of Applied Arts and Technology

Programme :

Accelerate

Calcul de dose pour la curiethérapie par diffusion d’émetteur alpha.

La curiethérapie est une technique de traitement de tumeur cancéreuse qui vise à insérer des grains radioactifs dans la tumeur ou très près de celle-ci, pour livrer une dose de rayonnement élevée dans le volume-cible tout en réduisant la dose aux tissus sains environnants. La technique de curiethérapie par particule alpha est sur le point de révolutionner le domaine, car elle offre une efficacité radio-biologique plus élevée pour le traitement de la tumeur, couplée à une réduction des effets secondaires. Par contre, il n’existe pas de logiciel de planification de traitement pour une telle technique, car le calcul de la dose n’est pas simple à effectuer. Nous comptons développer et valider un tel logiciel de planification de traitement, basé sur un algorithme de calcul de dose qui combine la modélisation de la diffusion des atomes radioactifs et la modélisation du transport des particules (alpha/beta/gamma) dans le tissus.

Voir la description complète du projet
Superviseur du corps professoral :

Jean-Francois Carrier

Étudiant :

Partenaire :

Centre de recherche du CHUM

Discipline :

Physics

Secteur :

Health and Related Sciences & Technology

Université :

Université de Montréal

Programme :

Accelerate

Developing a machine learning-based diagnostic strategy to detect early onset of double negative prostate cancer by integrating SEMA3C-associated genomic variations and blood biopsies

The main goal of this research project is to study if a protein named SEMA3C can be a biomarker for early detection of an aggressive and lethal form of prostate cancer, named Double Negative Prostate Cancer (DNPC). To test if SEMA3C is a contributing factor in the progression of DNPC, we will compare SEMA3C level in tissues from patient and healthy individuals. Then, we will study if SEMA3C level changes in parallel to genetic variations, happening in tumors with cancer growth. If successful, the results can help us figure out SEMA3C’s correlation to contributing genetic factors that are involved in DNPC growth and resistance to drugs. This new diagnostic strategy will improve patient care and management and may improve survival of men with one of the worst forms of prostate cancer.

Voir la description complète du projet
Superviseur du corps professoral :

Christopher J Ong

Étudiant :

Partenaire :

Vancouver General Hospital

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

The University of British Columbia

Programme :

Accelerate

Activer, concrétiser et faciliter l’adoption des principes d’innovation et d’intelligence artificielle responsable – étude de cas et analyse rétrospective des projets d’innovation technologique en santé

Le Comité tactique en intelligence augmentée du Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CHUM) mène de front des projets pour activer et concrétiser les principes d’innovation et d’intelligence artificielle (IA) responsables en actions afin de faciliter l’adoption des projets innovants en IA au CHUM. En réponse à la crise pandémique de Covid-19, de nombreux projets en IA sont mis en oeuvre et il y a un manque criant d’outils pour accompagner l’adoption des innovations technologiques inclusives, ouvertes, éthiques et en respect avec les principes en innovation et en IA responsables et ce, dans un contexte d’innovation collective inter-organisationnelle dans l’écosystème de la santé.

Voir la description complète du projet
Superviseur du corps professoral :

Catherine Beaudry

Étudiant :

Partenaire :

Centre de recherche du CHUM

Discipline :

Business

Secteur :

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

Université :

Polytechnique Montréal

Programme :

Accelerate

Software Engineering for Next-Generation Building and Energy Management Sensing Devices

This project will identify an optimal technology roadmap and integrated software engineering process for a new line of building heating, ventilation, and air conditioning (HVAC) control system elements being developed by Greystone Energy Systems. The COVID-19 necessitates advances in HVAC and maintaining high indoor air quality standards. This trend highlights the need for HVAC systems that enable sophisticated management of energy usage, maintenance, and compliance with environmental standards. This project will increase the competitiveness and market share of an established Canadian company that seeks to continue to expand within its current markets and strives to be the premier supplier of sensors and transmitters for the HVAC industry. The project will contribute to enhanced ability for real-time monitoring and coordination of air quality monitoring, enabling users to track complex networks of sensors and respond as needed to ensure optimal indoor air quality.

Voir la description complète du projet
Superviseur du corps professoral :

William McIver Jr.

Étudiant :

Partenaire :

Greystone Energy Systems, Inc.

Discipline :

Computer science

Secteur :

Manufacturing

Université :

New Brunswick Community College

Programme :

Accelerate

3-D Mesoscale Imaging of Turbine Runner Alloys

In the project, we will use an advanced microscope instrument, called a plasma focused ion beam to image the three dimensional structure of turbine materials used to generate hydroelectric power, with the aim of design a method for predicting damage and maintenance schedules in the long term. If we can understand the microstructure of these steels, we can figure out how they will deform over the long term.

Voir la description complète du projet
Superviseur du corps professoral :

Nabil Bassim

Étudiant :

Partenaire :

Institut de Recherche Hydro-Québec

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Utilities

Université :

McMaster University

Programme :

Accelerate

Optimising Green Rainwater Infrastructure for Rain City Strategy Targets

The City of Vancouver’s Integrated Rainwater Management Plan and Rain City Strategy provides rainwater management targets and design standards for public spaces (streets, public spaces, parks) and private spaces (private property, City-owned property) in the City of Vancouver. To reach these targets, the City has adopted several Green Rainwater Infrastructure (GRI) approaches to achieve the design standards in both types of spaces. The GRI types that will help the City meet its targets sustainably include green roofs, rain barrels, and rain. The City however, is coming up against barriers to implementing these types of GRIs so to overcome these issues, this work will increase the understanding of how these GRIs can be used on different building types and spaces to meet the Rain City Strategy targets. A handful of case studies spanning the range of Tier 1 type GRIs will be selected and analyzed to demonstrate how these GRIs work and why. The case studies analysis will be developed to demonstrate to the public the benefit to both the public and private sector, and to promote their use in future planning.

Voir la description complète du projet
Superviseur du corps professoral :

Caterina Valeo;Phalguni Mukhopadhyaya

Étudiant :

Partenaire :

City of Vancouver

Discipline :

Engineering

Secteur :

Public administration

Université :

University of Victoria

Programme :

Accelerate

Ecology and Conservation of Grassland Songbirds in the Waterton Park Front Area

The objective of this project is to establish a long-term study on the ecology of grassland songbirds in the Waterton Park Front Area (just outside of Waterton National Park), Alberta. The student will examine how different grazing regimes and other management actions influence birds. Fieldwork, which will occur from approximately May to July each year, will involve bird surveys, vegetation monitoring, and interacting with a variety of stakeholders. The Nature Conservancy of Canada will benefit by learning how different management strategies on their properties influence grassland songbirds. This could influence future management actions on these properties, and will help ranchers and conservation organizations find common ground from which we can ensure ecological, social, and economic sustainability.

Voir la description complète du projet
Superviseur du corps professoral :

Nicola Koper

Étudiant :

Partenaire :

Nature Conservancy of Canada

Discipline :

Life Sciences

Secteur :

Life Sciences (not health); Sustainability & the Environment; Other

Université :

University of Manitoba

Programme :

Accelerate

Freight consolidation and container loading optimization

This project investigates a complex freight consolidation and loading problem faced by Frontline Carrier Systems Inc., a leading transportation and supply chain provider in North America. Frontline seeks to optimize their transportation costs by minimizing the number of trucks required to ship a set of customer orders within a finite planning horizon. The problem integrates freight consolidation decisions to assign skids to trucks, scheduling decisions to determine the departure time of truckloads, and three-dimensional (3D) loading decisions to determine how these skids should be placed inside each truck. Skids weight, volume and lead time constraints are considered to ensure feasibility and effective truck capacity utilization. The main objective is to develop algorithms based on the latest advances in artificial intelligence and analytics – including optimization, probability and statistics. These algorithms will be at the core of an advanced planning system capable of quickly generating feasible shipping plans and 3D animations of the truck loading patterns.

Voir la description complète du projet
Superviseur du corps professoral :

Ivan Contreras

Étudiant :

Partenaire :

Frontline Carrier Systems Inc

Discipline :

Engineering

Secteur :

Transportation and warehousing

Université :

Concordia University

Programme :

Accelerate

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Mitacs — Retour sur innovation

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.