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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9858
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619
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Projets par catégorie

La pandémie de Covid-19 telle que vécue par les personnes ayant des incapacités : état de la situation et proposition d’interventions

La pandémie de Covid-19 qui fait actuellement rage est une urgence de santé publique de portée internationale qui touche l’ensemble de la population. Cette pandémie constitue une source d’isolement des citoyens qui peut engendrer différents effets psychologiques et de santé néfastes (augmentation de l’anxiété et du stress, diminution du niveau d’activité et de participation, etc.). Certains groupes vulnérables peuvent d’ailleurs être davantage affectés que la population générale en raison de conditions qui leurs sont spécifiques, notamment les personnes handicapées et leurs proches. Afin de soutenir le milieu communautaire, le présent projet vise à documenter la perception des impacts et le vécu des personnes ayant des incapacités en lien avec la crise pandémique de la Covid-19 ainsi qu’à identifier des pistes d’intervention. Pour ce faire, nous réaliserons des entrevues auprès d’une centaines de personnes ayant des incapacités.

Voir la description complète du projet
Superviseur du corps professoral :

François Routhier;Emilie Raymond

Étudiant :

Partenaire :

Regroupement des organismes de personnes handicapées de la région 03

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology; Other services (except public administration)

Université :

Université Laval

Programme :

Accelerate

Enhancement of the process validation via characterization and optimization of mixing operations in the Sanofi Pasteur cutting-edge manufacturing facility designed for the production of 5-component acellular Pertussis, Diphtheria, and Tetanus vaccines

Sanofi Pasteur has established a cutting-edge facility for the production of different types of vaccines in Toronto. This state-of-the-art facility is comprised of various complex mixing operations, which play significant role in the vaccine production. Currently, there is lack of sufficient information about the hydrodynamics of these mixing units for the process validation. In this project, computational fluid dynamics and tomography will be utilized to characterize and optimize the operations of mixing units. The CFD model will be validated using tomography data. The validated CFD model and tomography data will be employed to assess the effects of different design parameters and operating conditions on the performances of these mixing units, which enable us to determine the optimal conditions. The implementation of CFD modelling in the process validation will result in reducing the process validation time and cost by at least 80% resulting in a major cost saving of over $400,000.

Voir la description complète du projet
Superviseur du corps professoral :

Farhad Ein-Mozzafari

Étudiant :

Partenaire :

Sanofi

Discipline :

Engineering

Secteur :

Health and Related Sciences & Technology; Pharmaceuticals; Manufacturing and Construction

Université :

Toronto Metropolitan University

Programme :

Accelerate

Développement d’un algorithme de classification des nuages de points lidar aéroporté par apprentissage profond

La compagnie XEOS Imagerie oeuvre dans le domaine de l’acquisition de données lidar (Light Detection and Ranging). Elle désire extraire automatiquement les points associés au sol et aux objets à partir du nuage de points 3D brut de l’acquisition lidar. La procédure actuelle pour classifier les points repose sur une combinaison d’algorithmes spécialisés et d’interprétation humaine. Cette procédure est laborieuse. XEOS désire explorer les possibilités offertes par les techniques d’apprentissage profond, notamment par les réseaux de neurones convolutifs, pour identifier le sol et les objets dans les nuages de points lidar bruts acquis par son système aéroporté.

Voir la description complète du projet
Superviseur du corps professoral :

Richard Fournier;Mickael Germain;Yacine Bouroubi

Étudiant :

Partenaire :

XEOS Imagerie

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Université de Sherbrooke

Programme :

Accelerate

Caractérisation de l’immunité humorale développée par les personnes guéries de la COVID-19

La COVID-19 est causée par un nouveau virus, le SARS-CoV-2 et frappe durement la population mondiale. Cette maladie soulève de nombreuses questions, dont celle de savoir si l’immunité développée par les personnes ayant guéri de la maladie permet de neutraliser efficacement le virus et d’assurer une protection à long terme. Dans le cadre de ce projet, nous allons étudier les caractéristiques des anticorps retrouvés dans le plasma de personnes ayant guéri de la COVID-19 (plasma convalescent), incluant leur pouvoir neutralisant ainsi que leur persistance dans le temps. Les données générées par cette étude permettront de mieux comprendre comment combattre ce nouveau virus et permettront de prendre des décisions éclairées en matière de santé communautaire.

Voir la description complète du projet
Superviseur du corps professoral :

Andrés Finzi

Étudiant :

Partenaire :

Héma-Québec (Montreal)

Discipline :

Life Sciences

Secteur :

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

Université :

Université de Montréal

Programme :

Accelerate

Changes in Lifestyle and Body Weight among Children with Overweight and Obesity

In Canada, about one third of children aged 5 to 17 years are overweight, and 12% have obesity – a number that has tripled over the past 50 years. Childhood obesity is associated with increased risk of several comorbidities, including type 2 diabetes, low self-esteem, depression, and cardiovascular disease. In an era of personalized medicine, identifying key lifestyle factors associated with weight reduction among children with overweight and obesity will allow to develop individualized multicomponent interventions with increased effectiveness and adherence for long-term weight management in this high-risk population. The objective of this project is to evaluate the associations between changes in lifestyle habits and concomitant changes in body mass index (BMI) in children with overweight and obesity. Data generated over the course of the study will help shape individualized multicomponent graduated interventions with increased effectiveness in long-term management of pediatric obesity.

Voir la description complète du projet
Superviseur du corps professoral :

Jean-Philippe Drouin-Chartier

Étudiant :

Partenaire :

Réseau d'action en santé cardiovasculaire

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

Université Laval

Programme :

Accelerate

Beyond the COVID-19 pandemic: Identifying and analyzing inter-systemic cascades

This project aims to improve our understanding of the impacts of COVID-19 and its related impact on economic, food, and energy systems. While conventional attempts to understand these trends and help decision makers prepare for possible shocks tend to fixate on individual systems, this project investigates the complex interactions between these systems and the possibility of “inter-systemic cascades” where a shock in one system triggers cascading effects across others. Using research methods and system mapping tools specifically designed to analyze these inter-systemic effects, researchers will produce Briefings on possible inter-systemic trends that may unfold in the coming months and will identify opportunities for policy makers and corporate/community leaders to steer stimulus spending and other investments towards activities that have the potential to grow sustainably and resiliently over the coming decade.

Voir la description complète du projet
Superviseur du corps professoral :

Thomas Homer-Dixon

Étudiant :

Partenaire :

Waterloo Global Science Initiative

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

Royal Roads University; University of Waterloo

Programme :

Accelerate

Using semi-supervised learning for classification of sport images

Artificial intelligence (AI) is rapidly becoming one of the most critical aspects in both business and science, and an increasing number of leading technology companies in Canada are at the forefront of AI development and innovation. The proposed research project aims at developing AI algorithms that have the ability to accurately classify the sport practiced or the sporting equipment present in an image. This project is broadly in line with the AI Strategy by the federal government to make Canada a global AI research powerhouse, and seeks to develop automated image classification models that will help increase the visibility and competitiveness of Décathlon Canada, a worldwide leading company in the sports market.

Voir la description complète du projet
Superviseur du corps professoral :

Abdessamad Ben Hamza

Étudiant :

Partenaire :

Décathlon Canada

Discipline :

Computer science

Secteur :

Retail trade

Université :

Concordia University

Programme :

Accelerate

An ultra-small vital sign monitoring multi-sensing platform

This collaborative research project between iMD research and prof. Benoit Gosselin aims to design and test an tiny, inexpensive and easy-to-use wearable multi-sensing platform to continuously monitor patients remotely, and help greatly to manage COVID-19. The envisioned platform will use CMOS custom integrated circuits and advanced packaging technology to achieve an extreme level of miniaturization. This design will combine ultra-small electronic components available off the shelf (COTS) and custom integrated modules and continuously measure temperature, heart rate (HR), blood pressure (BP),
oxygen saturation (SPO2) and respiratory rate (RR) remotely, within a very compact device of extended battery life. ASICs and ultra-small COTS will be combined and interconnected together using an advanced heterogeneous chip integration strategy based on silicon interposers. The power consumption of the whole multi-technology microsystem will be very low, within a few tens of microwatts, in order to extend the battery life.

Voir la description complète du projet
Superviseur du corps professoral :

Benoit Gosselin

Étudiant :

Partenaire :

iMD Research

Discipline :

Engineering

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Université Laval

Programme :

Accelerate

Scene Graph Image Interpretation Tools

In this project we will look at tools to represent the content of an image and the relationships between its salient objects. The purpose of these tools is not only to enumerate the object represented in an image and identify their surroundings but also to describe how these entities are interacting with each other. We will do so in too ways; first we will look at methods to detect these entities in the image and then parse them into triplets. A triplet is formed of two objects (nodes in the space) and their relationship (a labeled connection in the space). We will make sure that the method that we propose permits to establish the explainability of the results given the inputs. Second, we will look into a method that parse these triplets into sentences that represent the corresponding images captions.

Voir la description complète du projet
Superviseur du corps professoral :

Philippe Langlais

Étudiant :

Partenaire :

Thales Recherche et Technologie

Discipline :

Computer science

Secteur :

Management of companies and enterprises; Manufacturing; Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

Creating Safer Cities for Salmon: A case study of how Indigenous, Federal, Provincial, and Municipal policies align with standards and objectives of the Salmon-Safe eco-certification in Vancouver, BC

This proposed research project will undertake a review of Indigenous, federal, provincial and local government policy in order to identify areas of alignment with Salmon-Safe BC’s Urban Standards and overall program goals. The Salmon-Safe Standards are designed to help mitigate the impacts of urban development to watersheds through the application of five core standards and two context-specific standards at the site level. Currently, little is known how an eco-certification specific to salmon habitat and watershed protection aligns with governmental policy. Gaining a deeper understanding of alignment between Salmon-Safe eco-certification standards for urban site development and the standards and regulations set by government policy, could allow for more efficient use of resources and expertise to promote better building compliance and protect salmon in BC.

Voir la description complète du projet
Superviseur du corps professoral :

Zafar Adeel

Étudiant :

Partenaire :

Fraser Basin Council

Discipline :

Earth science

Secteur :

Other services (except public administration); Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

AAV Vectored Immunoprophylaxis for Prevention of SARS-CoV-2 in the Elderly and Immunocompromised

As of May 1st, 2020, over 3.2 million cases of COVID-19 have been confirmed, resulting in over 233,000 deaths globally. This project aims to provide an alternative vaccine for the prevention and treatment COVID-19 in high risk individuals, mainly the elderly and immunocompromised, who do not respond well to tranditional vaccination. Using a single viral vector platform, we will deliver broadly protective monoclonal antibody genes isolated from human survivors of COVID-19 to provide sustained levels of protection against SARS-CoV-2 infection for all individuals, particularly the elderly and immunocompromised. This project will help Avamab Pharma Inc. bring its first AAV VIP therapy to human clinical trials, with the ultimate goal of providing high risk patient populations with an urgently needed prophylactic against COVID-19.

Voir la description complète du projet
Superviseur du corps professoral :

Sarah Wootton

Étudiant :

Partenaire :

Avamab Pharma Inc

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Guelph

Programme :

Accelerate

Measurement-based Optimal Dispatch of Distributed Energy Resources in the Power Distribution System

The integration of significant capacities of distributed energy resources (DERs) such as renewable wind and solar generation for a more sustainable energy future creates several challenges to the reliable and efficient operation of power distribution systems. These include: (i) Uncertain and intermittent nature of renewable generation compromises power quality for end-customers. (ii) Up-to-date distribution-system network topologies are not well known and their real-time monitoring is limited. As a result, effective management of DERs is challenging. (iii) Accurate DER control may require solving complex optimization problems.
To this end, the goal of this research project is to study distributed measurement-based methods to design DER management systems by developing equivalent network-sensitivity models of distribution systems from real-time measurements.

Voir la description complète du projet
Superviseur du corps professoral :

Yu (Christine) Chen;Liwei Wang

Étudiant :

Partenaire :

Enbala Power Networks Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Utilities

Université :

The University of British Columbia

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.