Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

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.

View Full Project Description
Faculty Supervisor:

François Routhier;Emilie Raymond

Student:

Partner:

Regroupement des organismes de personnes handicapées de la région 03

Discipline:

Sociology

Sector:

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

University:

Université Laval

Program:

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.

View Full Project Description
Faculty Supervisor:

Farhad Ein-Mozzafari

Student:

Partner:

Sanofi

Discipline:

Engineering

Sector:

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

University:

Toronto Metropolitan University

Program:

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.

View Full Project Description
Faculty Supervisor:

Richard Fournier;Mickael Germain;Yacine Bouroubi

Student:

Partner:

XEOS Imagerie

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

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.

View Full Project Description
Faculty Supervisor:

Andrés Finzi

Student:

Partner:

Héma-Québec (Montreal)

Discipline:

Life Sciences

Sector:

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

University:

Université de Montréal

Program:

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.

View Full Project Description
Faculty Supervisor:

Jean-Philippe Drouin-Chartier

Student:

Partner:

Réseau d'action en santé cardiovasculaire

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

Université Laval

Program:

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.

View Full Project Description
Faculty Supervisor:

Thomas Homer-Dixon

Student:

Partner:

Waterloo Global Science Initiative

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Royal Roads University; University of Waterloo

Program:

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.

View Full Project Description
Faculty Supervisor:

Abdessamad Ben Hamza

Student:

Partner:

Décathlon Canada

Discipline:

Computer science

Sector:

Retail trade

University:

Concordia University

Program:

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.

View Full Project Description
Faculty Supervisor:

Benoit Gosselin

Student:

Partner:

iMD Research

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Université Laval

Program:

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.

View Full Project Description
Faculty Supervisor:

Philippe Langlais

Student:

Partner:

Thales Recherche et Technologie

Discipline:

Computer science

Sector:

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

University:

Université de Montréal

Program:

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.

View Full Project Description
Faculty Supervisor:

Zafar Adeel

Student:

Partner:

Fraser Basin Council

Discipline:

Earth science

Sector:

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

University:

Simon Fraser University

Program:

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.

View Full Project Description
Faculty Supervisor:

Sarah Wootton

Student:

Partner:

Avamab Pharma Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

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.

View Full Project Description
Faculty Supervisor:

Yu (Christine) Chen;Liwei Wang

Student:

Partner:

Enbala Power Networks Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

The University of British Columbia

Program:

Accelerate

Previous
1…2,0772,0782,0792,0802,0812,0822,083…2,635
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe

Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.