Innovative Projects Realized

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

29670 Completed Projects

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801
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663
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8841
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9197
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568
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Projects by Category

Next-generation flexible packaging films

The proposed research project consists of an educational and research component. The intern will deliver a workshop/seminar series to the industrial partner, transferring the basics of polymer science to Lintec’s staff to used in material selection processes. Second, the intern will research biodegradable polymers for suitability in flexible packaging films as one possible route to aid in plastic recycling. The partner organization will build a knowledge base of polymers and will be better able to respond to customers’ requirements and propose innovative polymer film packaging material solutions in the future.

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Faculty Supervisor:

Milan Maric

Student:

Partner:

Lintec Label And Flexible Packaging Solutions

Discipline:

Engineering

Sector:

Manufacturing

University:

McGill University

Program:

Accelerate

UI-Copilot: developing large multimodal models for open-ended web navigation

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

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Faculty Supervisor:

Quentin Cappart

Student:

Partner:

ServiceNow Canada

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Accelerate

Multiscale simulations of superconducting circuits

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

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Faculty Supervisor:

Baptiste Royer

Student:

Partner:

Nanoacademic Technologies Inc.

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Santé reproductive intersectionnelle

Le projet de recherche vise à sensibiliser les personnes professionnelles de la santé concernant leurs rôles pour la santé sexuelle et procréative des personnes en contextes de vulnérabilité, plus particulièrement les personnes racisées (incl. les personnes autochtones), les personnes LGBTQ+ et en situation de précarité.

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Faculty Supervisor:

Yann Zoldan

Student:

Partner:

Université Toulouse (Jean Jaurès)

Discipline:

Sociology

Sector:

Education

University:

Université du Québec à Chicoutimi

Program:

Globalink Research Award

Business Research and Development for a Technology Startup

Earthquakes are very common in Canada as more than 4000 seismic activities get recorded every year. Apart from all the seismic activities, over 1200 earthquakes get recorded in B.C. Natural Resources Canada report indicates that, there is 30% possibility that B.C. will experience a very high risk earthquake in next 50 years. Ottawa, Montreal and Quebec will also experience medium level earthquakes. Insurance companies and government will have to play an essential role in the consequences of such catastrophic event. At present, home owner or industry personnel has to consult with an experience engineer to carry out an onsite building inspection to attain the earthquake insurance. Automated risk assessment software, like the one Sasset Technology has developed, can be used to generate damage assessment report. This extensive project on the market, competition and demand analysis is required to help real-estate, construction and engineering industry. It will also improve Sasset’s unique product to serve community and different industries.

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Faculty Supervisor:

Terrance Power

Student:

Partner:

Sasset Technology

Discipline:

Business

Sector:

Information and Communications Technology; Manufacturing and Construction; Environmental Science and Technology; Information and Communications Technology; Manufacturing and Construction; Environmental Science and Technology

University:

Royal Roads University

Program:

Accelerate

Evident : Modèle de fondation pour images ultrasonores

Dans le domaine du contrôle non destructif, l’intelligence artificielle peut être déployée pour inspecter des images ultrasonores (ce sont des échographies de matériaux métalliques, composites ou autres), pour y détecter des défauts de fabrication ou d’usure (fissures, corrosion, etc.). Traditionnellement, les modèles d’IA sont entraînés pour un cas d’usage spécifique sur les données relatives au cas. Ces dernières années ont vu l’apparition de modèles de fondation, qui sont des modèles pré-entraînés sur de vastes quantités de données très diversifiées, capables d’être ensuite adaptés rapidement pour différents cas d’utilisation. Le projet de recherche consiste à développer un modèle de fondation pour images ultrasonores, en adaptant un modèle pré-entraîné, et aussi en pré-entraînant un modèle vierge sur des images ultrasonores, puis à les adapter pour une tâche spécifique et comparer leurs performances avec un modèle d’IA traditionnel entraîné uniquement pour la même tâche.

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Faculty Supervisor:

Christian Gagné;Xavier Maldague

Student:

Partner:

Evident Canada Inc.

Discipline:

Computer science

Sector:

Manufacturing

University:

Université Laval

Program:

Accelerate

Evaluating Patient & Provider Satisfaction with a Self-Referral Healthcare Pathway

The proposed project will evaluate patient and provider satisfaction with a self-referral healthcare pathway for musculoskeletal injuries (injuries to the bones and joints) in a rural sport medicine clinic. In addition, patient wait times and outcomes will be compared between this self-referral pathway and the usual referral pathway.

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Faculty Supervisor:

Norah McRae

Student:

Partner:

Banff Sport Medicine Foundation

Discipline:

Business

Sector:

Education

University:

University of Waterloo

Program:

Business Strategy Internship

Recommandations pour une solution numérique inclusive d’aide au budget destinée aux personnes présentant un traumatisme craniocérébral

Les personnes ayant un traumatisme craniocérébral (TCC) rencontrent des difficultés pour gérer et maintenir un
budget. La technologie peut assister et soutenir les fonctions cognitives déficitaires du TCC et contribuer à
l’amélioration de la participation sociale. La littérature démontre un manque crucial de technologie adaptée aux
personnes ayant un TCC.
Objectif : Développer des recommandations pour une solution numérique inclusive d’aide au budget (SNIB)
dans laquelle les paramètres d’assistance répondent aux besoins des profils cognitifs, sensoriels et des facteurs
environnementaux des personnes présentant un TCC.
Méthodologie : Elle s’appuie sur la recherche-action participative en technologie et l’application des
connaissances intégrées. Deux étapes : 1) analyser l’environnement pour identifier les besoins des futurs
usagers et les différents profils d’assistance et, 2) développer des recommandations.
Résultats attendus : 1/Identification des besoins spécifiques des personnes TCC de l’association.
2/Recommandations d’une SNIB. 3/Proposition d’une SNIB existante ou d’un cahier des charges de
développement de SNIB.

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Faculty Supervisor:

Frédérique Poncet;Amine Choukou

Student:

Partner:

Association des TCC des deux rives

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

McGill University

Program:

Accelerate

AI Solutions Engineer Intern

Tekside aims to streamline marketing processes through harnessing the power of artificial intelligence (AI) to provide insights and streamline content creation. The core focus is ensuring that the content we generate is not generic but highly personalized and relevant to specific customer segments. Tekside emphasizes the activation of tailored content using Intelligent Email Marketing. Tekside plans to start with a pilot Market research study that leverages emerging AI technologies to extract unique market insights about what customers are talking about in the market (on social media). Using AI tools provides data on the pulse of a market and emerging messaging threads that brands can harness and perhaps shape in their marketing.

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Faculty Supervisor:

Sandy Staples

Student:

Partner:

Sunnyholme Real Estate

Discipline:

Computer science

Sector:

Wholesale trade

University:

Queen's University

Program:

Business Strategy Internship

L2M – Cross-platform App for self-assessment of speech in noise performance

The DSP and electroacoustics lab (DEAL) at the National Centre for Audiology (NCA) conducts research and development in the digital health technology landscape, with a specific focus on creating a mobile hearing assessment application. This initiative is crucially timed to address the escalating issue of hearing loss, which is anticipated to impact 2.5 billion people globally by 2050. The DEAL’s project is particularly vital given the increasing use of smartphones among older adults and the recent regulatory approvals for over-the-counter hearing aids. This convergence of factors presents both significant opportunities and challenges for DEAL’s knowledge translation activities.
The present project aims to address the critical market problem of inaccessible and inconvenient hearing assessments, especially for the aging population and those with mobility or geographical limitations. The traditional approach to hearing tests, requiring visits to specialized clinics and expert supervision, poses notable accessibility challenges. DEAL’s mobile application, designed for easy and convenient home-based hearing assessments, seeks to bridge this gap, tapping into a clear market demand.
The project focuses on leveraging the app’s unique features, such as its offline functionality and compatibility with simple wired and wireless technology, to enhance its appeal and usability, especially for less tech-savvy older adults. By aligning the product with the needs of over-the-counter hearing aid companies, we envisage an opening up of new avenues for partnerships and market entry.

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Faculty Supervisor:

Vijay Parsa

Student:

Partner:

I-INC Foundation for Business Development

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of Western Ontario

Program:

Business Strategy Internship

Abrasive Waterjet Polishing of Large Hydraulic Turbine Blades Year Two

The objective of this project is to improve the quality of the hard-to-reach areas of the hydraulic turbine blades using abrasive waterjet polishing method. By this way, the energy lost caused by parietal friction between the turbine blades and the flow will be decreased and consequently the efficiency of the turbine will be improved. Previously, the polishing process of some parts of the turbines was performed manually which caused uneven finished surface and poor quality in some areas. With this method, through a uniform polishing strategy, the desired surface quality can be achieved. The polishing parameters affecting the quality of the final surface using this method have been initially investigated during the PhD research of the applicant. During post-doc, a comprehensive experimental study will be done on this process and using a more advance test-rig polishing of more complex surfaces similar to those of hydraulic turbines will be performed.

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Faculty Supervisor:

Souheil-Antoine Tahan

Student:

Partner:

GE Renewable Energy

Discipline:

Engineering

Sector:

Manufacturing; Other services (except public administration); Utilities

University:

École de technologie supérieure

Program:

Elevate

L2M – AI-Enable Regional Water Quality Assessment with Downscaled Climate Impact

This project is fundamentally about business development and identifying user needs in the face of climate change, a critical issue that poses significant threats to urban water infrastructure resiliency. The focus is on the anticipated challenges caused by changing precipitation patterns, increasing temperatures, and rising demand leading to freshwater scarcity and declining quality. Such climate variations are altering water flow, intensifying surface runoff, and impacting biogeochemical processes, all of which influence the quality of drinking water sources by altering contaminant dilution and transportation. Additionally, changes in watershed ecology and soil characteristics due to climate change are expected to affect contaminant transport and loads in source waters. These evolving conditions pose substantial challenges to existing drinking water treatment systems and infrastructure. Fluctuations in factors such as particulate concentrations, types of particulates, natural organic matter, pH, metal presence, and nitrogen and phosphorous levels significantly affect treatment efficiency, costs, and the quality of distributed water. To address these challenges, this project aims to employ advanced artificial intelligence (AI) techniques to predict and analyze water quality changes resulting from climate variability. Ensuring water quality is not just a matter of public health, but is also essential for economic stability and environmental sustainability, making it a key focus area for business development and understanding user needs.

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Faculty Supervisor:

Nicolás Peleato

Student:

Partner:

I-INC Foundation for Business Development

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of British Columbia - Okanagan

Program:

Business Strategy Internship

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