Innovative Projects Realized

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

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Extracting Document Structure from Text-Intensive Images, A Multi-Modal Approach

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

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Faculty Supervisor:

Siamak Ravanbakhsh

Student:

Partner:

ServiceNow Canada

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Assessment of microplastics released by reusable face masks under different conditions

Face masks play an important role in preventing droplets and filtrating exhalations coming from infected subjects or against various threats in the wearer’s surroundings. Approximately 129 billion single-use masks were discarded per month worldwide during the pandemic. The inadequate handling and management of single-use face masks cause many environmental problems. In contrast to disposable masks, reusable masks can be washed several times and then reused after sufficient drying. Such masks can be a good alternative for reducing the negative environmental impact. This study will examine the release of microplastics from reusable etrëma masks under different conditions. The reusable etrëma masks will be compared with disposable masks to verify whether etrëma masks are effective in reducing the release of microplastics and reducing the burden on the environment. The results can be used to support the development of reusable face masks with less environmental impact.

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Faculty Supervisor:

Chunjiang An

Student:

Partner:

Frëtt Solutions

Discipline:

Engineering

Sector:

Manufacturing

University:

Concordia University

Program:

Accelerate

Investigating Cannflavins as potential antimicrobial agents against antibiotic-resistant pathogens

Antimicrobial resistance is a growing, global problem. Our arsenal of effective antibiotics against drug resistant
bacteria and fungi is quite limited and innovative approaches are needed. Focusing on cannflavins, this proposal
will evaluate if these hemp-derived molecules with anti-inflammatory and anti-bacterial effects (1) are candidates
for interacting with pathogen protein targets, (2) are effective to eliminate drug-resistant bacteria and fungi, and
(3) eliminate azole-resistant vaginal candidiasis in a mouse model and/or improve wound healing in a diabetic
ulcer mouse model. By enhancing the druggability of these compounds and investigating enzyme interaction
pharmacology, and the in vivo activity, the project aims to advance innovative solutions in the battle against
antimicrobial resistance.

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Faculty Supervisor:

Ellen Wasan

Student:

Partner:

Canurta Inc

Discipline:

Life Sciences

Sector:

Manufacturing

University:

University of Saskatchewan

Program:

Accelerate

The Evaluation of Stresses in Spinal Instrumentation Devices Using a Hybrid Modelling Approach

Numalogics is a company that uses finite element models of the spine to offer consulting services for other companies, assist in the design of new spinal implants and surgical tools, and simulate surgical procedures. Currently, they apply pre-established loads to their models when running simulations of basic spinal movements. They require to assess whether these loads are representative of physiological muscle forces acting on the spine when producing these movements. Therefore, the goal of this project is to (1) create a framework for applying muscle forces to Numalogic’s spine models, and (2) determine if the stresses and load distributions in spinal implants estimated from these simulations are significantly different when using the pre-established loads versus muscle forces. Numalogics will directly benefit from this research, as we will be able to setup a framework for them to apply muscle forces to their models in the future.

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Faculty Supervisor:

Ryan Graham

Student:

Partner:

Numalogics

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Ottawa

Program:

Accelerate

Bridging the Gap for International Students in Canadian Employment

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

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Faculty Supervisor:

Eva Aboagye

Student:

Partner:

Devant Group

Discipline:

Business

Sector:

Education

University:

George Brown College of Applied Arts and Technology

Program:

Accelerate

Using Machine Learning to Understand, Assess, and Improve Clinical Efficiency

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

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Faculty Supervisor:

Joseph Ferenbok

Student:

Partner:

Toronto General Hospital

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

University of Toronto

Program:

Accelerate

Longitudinal Associations Between 24-Hour Movement Behaviour and Early Life Mental Health Indicators

Common mental health disorders (e.g., anxiety and depression) can begin in early childhood, with many symptoms (e.g., high levels of irritability) present during the early years predicting mental health disorders in later life. Research suggests that healthy movement behaviours (i.e., physical activity, reducing sitting, sufficient sleep) are associated with lower risk of mental health disorders in older children and adolescents. However, whether these behaviours have the same protective effect in early childhood is unknown. This research aims to explore the link between movement behaviours and mental health indicators in early childhood. Children aged 2-4 years and their parents will be recruited. Children will be asked to wear a device for 7 days to measure their total movement behaviours. Parents will be asked to report information on their children’s sitting time (including screen time) and sleep. Parents will also be asked to complete two surveys to assess early life mental health symptoms (e.g., responding to situations with anger outbursts or temper tantrums, fights with other children). The primary way in which this work will benefit the Children’s Hospital will be through providing actionable recommendations that physicians and health care providers can offer to families in their care.

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Faculty Supervisor:

Patricia Tucker;Shauna Burke

Student:

Partner:

London Health Sciences Centre

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

The University of Western Ontario

Program:

Accelerate

The Effects of a Novel Knee Brace Design for Assisting Knee Extension in Healthy Individuals

Spring Loaded Technology is a Halifax, Nova Scotia based start-up company focused on developing innovative knee bracing technology. Their Levitation™ knee brace has been developed to assist knee extension in people with leg weakness, but it has not yet been tested. The proposed research project will test the Levitation™ knee brace in healthy people, providing feedback to the Spring Loaded regarding the efficacy of their knee brace. Participants will be tested with and without the brace to compare its effects on knee extension torque and muscle activity. This crucial information will influence future improvements in design, and inform the next stages of testing on more patient and sport specific tasks, ensuring the brace is optimally designed to help its users.

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Faculty Supervisor:

Shaun Boe

Student:

Partner:

Spring Loaded Technology

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Dalhousie University

Program:

Accelerate

Operationalizing Responsible AI principles to Music Discoverability AI Tools Development

The subproject focuses on the intersection of cultural policy and responsible AI development. The problem of data bias and
automated recommendation are two known problems in cultural industries and AI development relevant to the Discoverability
project. The project seeks to develop alternative forms of algorithmic recommendation that differ from the de facto emphasis
on personalization. This project answers the need to operationalise principles of Responsible AI at the site of music
discoverability. The intern will produce a Responsible AI Scan (RAI Scan) of the terrain where the classifier and recommender
will be developed and deployed. The RAI scan will provide the context necessary for a precise operationalisation. It will be a
review and synthesis of the literature on responsible AI, expert interviews with stakeholders interpolated or impacted by the
creation of these systems (artists, diversity of cultural content advocates, and other relevant stakeholders). The partner
organization will build and learn from the RAI Scan to conduct the large Discoverability project. It will also be useful for the
future projects of the partner organization

View Full Project Description
Faculty Supervisor:

Fenwick McKelvey

Student:

Partner:

CEIMIA

Discipline:

Sociology

Sector:

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

University:

Concordia University

Program:

Accelerate

Fine-tuning an LLM for patent drafting

The project seeks to optimize the performance of a Language Model (LLM) specifically tailored for patent drafting. Through meticulous fine-tuning, our objective is to elevate the LLM’s capabilities, thereby enhancing the efficiency and precision in the generation of patent documents.

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Faculty Supervisor:

Reza Samavi;Arya Rahgozar

Student:

Partner:

XLSCOUT

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Toronto Metropolitan University; University of Ottawa

Program:

Accelerate

Behavior and design of double-headed studs for bridge concrete deck-toprecast girder connection

In bridges, the deck slab or panels are usually connected to the supporting girders using various types of shear
connector like bent bars or threaded rods which make the interfaces significantly congested. For reducing this
congestion, bridge contractors normally use steel shear studs. The proposed new research is exploring the use
of double-headed fiber-reinforced polymer (FRP) studs. FRP exhibits superior behavior over mild steel in terms
of excellent corrosion resistance and durability. The goal of this research is to understand how well the deck
connects to the precast girders using double-headed FRP studs. The Intern with his academic supervisors and
partner organization will investigate the flexural and shear performance of this composite slab-on-girder bridge
system through experimental testing, numerical analysis, and analytical studies. The proposed research will
provide the precast design community with simplified equations for estimating the flexural and shear capacity of
deck-to-girder systems using double-headed FRP studs.

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Faculty Supervisor:

Mamdouh El-Badry;Muntasir Billah

Student:

Partner:

Canadian Precast/Prestressed Concrete Institute

Discipline:

Engineering

Sector:

Construction and infrastructure; Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Influence de l’historique des perturbations sur la structure et la composition et vieilles forêts boréales

Les vieilles forêts boréales sont des forêts à très fort enjeu écologique mais gravement menacées par les activités humaines. D’importantes activités de restauration sont nécessaires pour permettre aux forêts aménagées de retrouver des structures et habitats similaires à celles des vieilles forêts. Le succès de ces approches dépend néanmoins fortement d’une connaissance fine de la dynamique des vieilles forêts. Celle-ci se montre plus complexe qu’imaginé, en raison de la forte hétérogénéité des caractéristiques des perturbations (par ex. nature, sévérité, périodicité) qui dynamisent les vieilles forêts. L’objectif de ce projet est donc d’éclaircir le lien entre les caractéristiques de structure et de composition des vieilles forêts boréales en fonction de leur historique de perturbation. Pour ce faire, le stagiaire combinera analyse dendrochronologiques et inventaires de terrain au sein d’un réseau de sites d’études de vieilles forêts au Québec.

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Faculty Supervisor:

Maxence Martin

Student:

Partner:

Université de Lorraine

Discipline:

Life Sciences

Sector:

Education

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Globalink Research Award

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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.