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

Prédiction d’un indicateur de performance de ligne de production

Le passage des entreprises à l’industrie 4.0 à pour but de propulser la productivité, réduire considérablement
les coûts de production et d’améliorer grandement la qualité des produits. Le projet a pour but de démontrer à
l’entreprise partenaire que l’utilisation de modèle prédictif d’apprentissage machine afin de prédire un indicateur
de performance (KPI) de ligne de production en fonction des données collectées en temps réel grâce à des
capteurs à chaque étape du processus de production, pourrait grandement optimiser les procédés de production.
En effet, la prédiction d’indicateur de performance de ligne de production, selon diverses variables anticipables
comme l’opérateur en fonction, la température environnante, le fournisseur de matériaux, le type de matériaux et
etc. permet de repérer les meilleurs scénarios de production et à l’équipe de gestion de se servir de ceux-ci pour
améliorer la productivité et l’utilisation des actifs de façon optimaux.

View Full Project Description
Faculty Supervisor:

Jean-François Plante

Student:

Partner:

Sidel Canada Inc

Discipline:

Computer science

Sector:

Manufacturing; Retail trade

University:

HEC Montréal

Program:

Accelerate

NMR Characterization of amyloid beta peptideinteractions with lead compound

This project aims to obtain detailed information on how a potential Alzheimer drug helps to inhibit the
formation of the toxic species associated with the disease. Utilizing magnetic resonance technologies,
we seek to characterize how the drug fits into the toxic species. The steps consist of making the toxic
species, combining it with the drug and generating a structure of the drug bound to the substance.
Knowledge of the shape and arrangements of groups between the species and drug will be used by
Treventis to rationally modify the drug to make it more effective.

View Full Project Description
Faculty Supervisor:

Ray Syvitski

Student:

Partner:

Treventis Corporation

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Reduction of Software Rework Through theMitigation of Cognitive Biases

The work proposed will lead to mechanisms for reducing or eliminating selected Cognitive Biases – automatic, unconscious elements of the human reasoning system known to cause decision errors. While Cognitive Biases have been studied for decades, there has been almost no research into how to reduce or eliminate their effects. The end goal of the proposed work is to identify, for selected Cognitive Biases, mechanisms that reliably, simply and cost-effectively accomplish such ‘de-biasing’ in a workplace setting. The focus for the proposed work is the software engineering industry, where very high defect rates are endemic; we believe that by focusing on the psychology of the human beings that create these defects, we will bring a new kind of mechanism to bear on this most problematic situation. We expect to produce several workshops to communicate and train practitioners in the resultant interventions.

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Faculty Supervisor:

Philippe Kruchten

Student:

Partner:

Clarrus Consulting Group Inc

Discipline:

Computer science

Sector:

University:

The University of British Columbia

Program:

Accelerate

Autonomous next generation wireless communication network optimization

Since the mid 1980s, moving access points, such as Wi-Fi, closer to network devices has been the largest contributer to improved data rates and this trend continues, but its scope is more difficult for rural internet service providers. The second technique is from the choice of the assigned spectrum and how this choice relates to other techniques to improve data rates. The third technique is from a combination of advanced signal processing techniques, involving antennas, beamforming, the allocation of available bandwidth and sampling the radio channels. Furthermore, the sampling of the radio channels is now possible by the use of UAVs which can be used for both planning and assessment of real-time operations.

View Full Project Description
Faculty Supervisor:

Brent Peterson

Student:

Partner:

Xplornet

Discipline:

Engineering

Sector:

Information and cultural industries

University:

University of New Brunswick

Program:

Accelerate

Améliorer la qualité des sols et augmenter le stockage du carbone dans les aménagements horticoles urbains

Les sols en milieu urbain sont bien souvent oubliés. Pourtant, ils remplissent un grand nombre de services écologiques à la population : ils contribuent à supporter une biodiversité aérienne et souterraine abondante, à recycler les éléments nutritifs et à filtrer l’eau, ainsi qu’à réduire les îlots de chaleur et lutter contre les émissions de gaz à effet de serre en stockant du carbone. Dans le cadre de ce projet, nous tenterons de voir comment des plantes vivaces retrouvées dans les aménagements horticoles urbains contribuent à améliore la qualité des sols urbains, à accroître l’activité et la biodiversité des communautés microbiennes de ces sols et à augmenter les quantités de carbone et d’azote stockés dans le sol et la plante. Les résultats permettront de mieux outiller l’organisme partenaire, LIEU, pour conseiller les décideurs sur comment mettre en place des pratiques écologiques en considérant la santé des sols comme un élément clé assurant le développement durable des villes.

View Full Project Description
Faculty Supervisor:

Vincent Poirier

Student:

Partner:

LIEU - Laboratoire d'intégration de l'écologie urbaine

Discipline:

Earth science

Sector:

Sustainability & the Environment; Environmental Science and Technology; Agriculture and Food

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

Plasmonic Nanoparticle Enhanced Seawater Desalination

To combat the growing need for accessible freshwater sources across the globe, new technologies that don’t rely on fossil fuels are ideal. Additionally, these technologies should be easily implemented in the developing communities that need them most for lower cost than the current options. The purification of seawater, also known as desalination is a highly attractive method due to the large amount of easily accessible saltwater, though current methods are highly fossil-fuel dependent. A new class of materials to be investigated, known as plasmonic nanoparticles, offer a unique solution to take the process off the grid. Such nanomaterials can effectively absorb sunlight and convert it directly to localized heat, making the overall conversion of water to steam using solar energy much more efficient. Creating devices based on this idea would benefit all parties involved to stand-out as innovators in the renewable technology sector.

View Full Project Description
Faculty Supervisor:

Mita Dasog

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Physics

Sector:

Ocean Tech; Nanotechnology; Sustainability & the Environment

University:

Dalhousie University

Program:

Accelerate

A real-time wideband underwater localization system using passive acoustic monitoring

This project provides a software solution for detecting, classifying, and tracking moving sound sources underwater from the generated sounds. Generally, monitoring shipping traffic largely rely on the automatic identification systems (AIS) installed on the vessels. The ability to track these vessels is at the mercy of the functionality of the transponders onboard the vessels and the reliability of the communication link to the base stations. Similarly, to detect and track marine mammals, underwater tags are often embedded on them to provide information about their specific locations. In this project, real-time tracking algorithms are developed on embedded platforms for the detection, localization, and classification of moving sources over a wide bandwidth. The developed system will provide more information in real-time about moving sources in comparison to the existing AIS. The passive solution is also an attractive surveillance solution.

View Full Project Description
Faculty Supervisor:

Jean-Francois Bousquet

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Ocean Tech; Information and Communications Technology; Environmental Science and Technology

University:

Dalhousie University

Program:

Accelerate

Desirable density

Vancouver’s rental market is Canada’s most expensive. Financial constraints and
need for more space often push families outside of the down-town area towards suburban
areas.
This research intends to suggest a new type of housing likely to increase Vancouver’s
retention capabilities towards this type of inhabitants. According to my preliminary research,
14% of new families decide to quit the city, suggesting that they didn’t find the infrastructures
they were looking for, namely, small apartments with no aCCess to the outside, priced within
than their financial capabilities. Drawing from different models built around the world over the
last 20 years, I’m committed to creating a new type of housing addressing their needs as well
as the City’s densification target. I believe it is utterly important for Vancouver, a City so
internationally prized for its quality of life and social diversity, to diversify its housing offerings
in order to keep its downtown, its beating heart alive.

View Full Project Description
Faculty Supervisor:

Blair Satterfield

Student:

Partner:

Stantec Consulting (Vancouver, BC)

Discipline:

Engineering

Sector:

Construction and infrastructure; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Porous materials as a filtration method for ship exhaust

The Canadian government has vowed to reduce their pollutant emissions by 2030 in order to curb the effects of climate change. This means that shipping companies must make strides to reduce their overall emissions. This project will use novel sponge-like frameworks, called metal-organic frameworks (MOFs), to remove environmentally toxic pollutants from exhaust gas. The materials currently being utilized for pollutant gas removal (e.g.. limestone) are often are very minimally active by weight, this is not the case for MOFs. MOFs possess a large internal surface area making them very active by weight, and ideal for filtration. These frameworks are able to be tailored to target the removal of specific pollutants and do so at a high capacity. If deployed in filters/pellets for marine vessels, MOFs could greatly reduce the waste associated with the current scrubbers while increasing the capacity for pollutant removal and ultimately slowing the onset of climate change.

View Full Project Description
Faculty Supervisor:

Michael Katz

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Physics

Sector:

Ocean Tech; Environmental Science and Technology; Sustainability & the Environment

University:

Memorial University of Newfoundland

Program:

Accelerate

Automated diagnosis of liver fibrosis and steatosis using deep-learning algorithms applied to conventional liver ultrasound

Non-alcoholic fatty liver disease (NAFLD) is one of the most common liver disorders worldwide. NAFLD could lead to end-stage liver disease and considered as one of the most common causes of liver transplantation. Moreover, a large number of liver transplant recipients develop NAFLD after transplantation due to side effects of the medications that they have to use to keep their new liver healthy. Although liver biopsy has been used for a long time to evaluate the liver condition it is associated with a risk of bleeding and other side effects. Consequently, we aim to improve simple liver ultrasound method by adding some artificial intelligence algorithms to the images obtained from this method to diagnose NAFLD and other liver disorders after transplantation. By doing so, clinicians will be able to perform real-time liver ultrasound without the need to refer the patients to a radiologist for the procedure.

View Full Project Description
Faculty Supervisor:

Mamatha Bhat

Student:

Partner:

MEDO.ai

Discipline:

Life Sciences

Sector:

Agriculture; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Green & Culturally Appropriate BuildingDesign

The project aims to develop a process to design houses using locally sourced materials and labor.
This process can be transferrable to other communities in the future when they approach a new
housing project in their region. This would be culturally and aesthetically in line with the vernacular.
The design will incorporate passive systems that make use of the naturally occurring forces of nature
(i.e., wind, sun, etc.) to provide better living conditions. People residing in the communities have been
consulted with in the past by Ecotrust Canada to gather information that will be critical in designing the
aesthetics as well as the functional components of the buildings. This project would provide
community members with employment opportunities, during the construction stage, and in the future
maintenance of the homes. There will be an economic analysis pertaining to monthly spending on
water, utilities and electricity bills to get a better understanding of the feasibility of adopting energy
and water savinG…tobecont’d…

View Full Project Description
Faculty Supervisor:

Mark Selman

Student:

Partner:

Ecotrust Canada

Discipline:

Business

Sector:

University:

Simon Fraser University

Program:

Accelerate

Scheduling of agents from forecasted future callarrivals at Hydro-Quebec’s call centers

The call center managers at Hydro-Quebec (HQ) need to deliver both low operating costs and high
service quality. Their task is made especially difficult because they need to handle a large-size
workforce (more than 1000 employees) while meeting an incoming demand which is typically both
time-varying and uncertain. The current techniques of determining the schedules of each employee
according to the forecasted future call volumes at HQ are often unreliable, and there is a need for new
and more accurate methods.
In this project, we propose addressing the concerns of the call center managers at HQ by developing
new methods for multi-activity shift scheduling that consider the very specific union regulations of HQ
(variable schedules) and are validated by mathematically simulating the main event that rule the callcenter
(arrival calls, processing time, abandonment, etc.). Our method will exploit the strong
properties of language-based model to efficiently consider complex regulations, as well as the
accuracy of mathematical simulation to reproduce in…TOBECONT’D…

View Full Project Description
Faculty Supervisor:

Pierre L’Ecuyer

Student:

Partner:

Institut de Recherche Hydro-Québec

Discipline:

Computer science

Sector:

Professional, scientific and technical services; Utilities

University:

Université de Montréal

Program:

Accelerate

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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.