Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Investigation of the structural performance of mass timber form-fitting connections for gravity loading

The research program investigates the potential of form-fitting connections in terms of structural performance, manufacturing cost, ease of assembly, and embodied carbon to that of connectors currently employed in the industry. The joint topologies considered will be influenced by joinery techniques and geometry from various cultures and an understanding of the factors that led to their development while adapting them to modern mass timber products. More specifically, the study will focus on mortise and tenon (MT) and dovetail (DT) joinery for glulam purlin-to-beam and beam-to-column connections designed for gravity loading only.

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Faculty Supervisor:

Daniel Lacroix

Student:

Partner:

Blackwell Structural Engineers

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

High-throughput screening and machine learning for the discovery and synthesis of iron-based electrocatalysts for oxygen evolution reaction

The OER is a key reaction in water splitting, crucial for green hydrogen production. Currently, precious-metal catalysts like IrO2 and RuO2 are effective but prohibitively expensive and rare, limiting their application. Iron-based electrocatalysts, given their abundance and favorable catalytic properties, offer a promising alternative but require further optimization to achieve performance levels competitive with state-of-the-art catalysts.
The discovery of these new materials traditionally relies on trial-and-error experimentation, which can be time-consuming and resource-intensive. However, advances in ML and density functional theory (DFT) calculations accelerate the virtual discovery by fast acquisition of catalytic performance and synthesis conditions computationally. We can quickly explore a vast chemical space and exploit towards the identification of the most promising iron-based materials for OER and optimizing their synthesis parameters for successful experimental validation.
The aim of this project is to accelerate the discovery and optimization of iron-based electrocatalysts for the Oxygen Evolution Reaction (OER) using high-throughput computational screening and machine learning (ML) models. This project focuses on predicting both the catalytic properties and the synthesis conditions of potential catalysts, reducing experimental trial-and-error, aiming to discover novel materials not previously published and allowing for the validation of only the most promising candidates.

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Faculty Supervisor:

Bruno Pollet

Student:

Partner:

Massachusetts Institute of Technology

Discipline:

Engineering

Sector:

Education

University:

Université du Québec à Trois-Rivières

Program:

Globalink Research Award

L2M – Designing and Development of a Smart Hydroponics Platform to Promote Welleness

This project aims to develop a vertical farming system that will produce fresh, high-quality crops in urban areas, helping to address food insecurity and promote wellness. Using advanced farming technology, the system will require less land and water compared to traditional agriculture, making it more sustainable and efficient. The expected benefits for the partner organization include contributing to sustainable food production, reducing reliance on long supply chains, and supporting the growing wellness market by providing pesticide-free, nutritious produce directly to urban consumers.

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Faculty Supervisor:

Rafiq Ahmad

Student:

Partner:

Edmonton Unlimited

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Public administration

University:

University of Alberta

Program:

Business Strategy Internship

Fiber-optic monitoring of pipes and pipelines

We will develop a fiber-optical sensor system that can be applied to monitor pipelines. By recording the response of a fiber-optic transducer to ultrasound that is generated on the wall of a pipeline we can measure the flow velocity of the fluid inside the pipeline. Similar measurements are
presently conducted by pipeline operators using piezo-electric transducers, but their sensitivity is not high enough to locate small leaks or pipeline deposits through a change in flow rate. In addition the ultrasound measurements will let us accurately determine the identity of the pipeline content. The fiber-optic transducer implemented by Queen’s researchers and their collaborators already has a 1:300,000 signal to noise ratio and a flat frequency response from DC to 35 kHz. The transducer is inherently immune to electric and magnetic fields, radio-frequency noise, and temperature. It is also non-intrusive and can be retrofitted to existing infrastructure. Since the sensor head is part of a regular single-mode telecommunication fiber it is straightforward to generate a large sensor array that can be monitored in a single location. In this project a scale model of a pipeline will be built and interrogated with both conventional and fiber optic sensors.

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Faculty Supervisor:

Hans-Peter Loock

Student:

Partner:

QPS Photronics Inc

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology; Manufacturing

University:

Queen's University

Program:

Accelerate

L2M – AidMe LLM-Powered Mobility Framework

The aging population faces mobility challenges, with existing devices offering only basic, passive support, which increases the risk of falls and injuries. The proposed solution, AidMe LLM-Powered Mobility Framework, enhances motorized assistive devices with AI, allowing users to issue voice commands and receive adaptive support. This improves user autonomy and reduces injury risks. This BSI project focuses on validating the marketability of the AidMe product and refining it based on industry needs, ensuring it meets customer expectations and is positioned for successful commercialization.

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Faculty Supervisor:

Mahdi Tavakoli

Student:

Partner:

Edmonton Unlimited

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Public administration

University:

University of Alberta

Program:

Business Strategy Internship

Medventions: Winter 2025

Medventions is a full-time 14 week paid program that allows students and new graduates to take part in physician-led,
hospital-based fellowship training. Fellows come from different areas of study and will get hands on experience in a
clinical setting with innovators and experienced mentors. It equips fellows to identify priority healthcare needs and
develop their own prototypes to help solve pressing issues in our healthcare system. At the end of the program, the
interns will present their final innovation at the Innovation Showcase, which will celebrate the interns and the work
they have done over the past four months. Here, they will present their prototype and business model, and field any
questions from an audience comprised of those engrained in the health innovation ecosystem in Nova Scotia.
This cohort will be comprised of 4 fellows and our academic supervisor for this cohort is Clifton Johnston from
Dalhousie University.

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Faculty Supervisor:

Clifton Johnston

Student:

Partner:

Nova Scotia Health

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services; Public administration

University:

Dalhousie University

Program:

Business Strategy Internship

Evaluating and Refining Regional Fund Allocation Models: Impact of Residential Schools and Global Comparisons

The research project will evaluate how the FGF/NIBTF distributes funds to Indigenous communities across Canada. Currently, the allocation is based on several factors, including the number of residential schools in each region. The intern will analyze historical data to see how this factor affects funding and whether changes to the formula would create a fairer distribution. By running different models, the intern will show if removing or adjusting the “residential schools” factor impacts the amount of money each region receives. The intern will also compare the FGF/NIBTF’s funding methods with those used in similar programs globally. This research will help the FGF/NIBTF ensure that their funding approach continues to meet the needs of Indigenous communities in a fair and reasonable way.

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Faculty Supervisor:

Heidi Weigand

Student:

Partner:

Future Generations Foundation

Discipline:

Sociology

Sector:

Other services (except public administration); Public administration

University:

Dalhousie University

Program:

Accelerate

gestion stratégique des compétences dans une PME de services d’inspection de matériaux et de contrôle de qualité: recherche-action sur ses modalités d’implantation

Le succès commercial et la pérennité sociale d’une PME – bref, son âme – résident dans ses personnes et leurs compétences. Une gestion stratégique efficace des compétences d’une PME passe donc nécessairement par la bonne gestion stratégique de ses personnes ou, plus concrètement, des façons dont ces derniers décident librement et en toute conscience de mettre à contribution leurs compétences au bénéfice de l’entreprise (c.-à-d. expertise, conscience professionnelle, mécanismes personnels de création de sens). Hélas, les dimensions sensible et subjective – bref, humaines – de ce type novateur de gestion demeurent volontairement muselées et opprimées par les communautés scientifiques et d’affaires. C’est pourquoi cette recherche entreprend d’implanter dans une PME d’exception et en pleine croissance, d’une part, une gestion des personnes érigées sur les meilleures pratiques qui, d’autre part, sera bonifiée d’un cadre théorique novateur et inclusif (c.-à-d. qui considère l’ensemble des écrits disponibles sur cette thématique). Au final, la PME en question jouira de l’implantation réussie d’une gestion stratégique efficace de ses compétences, matériau vital à sa croissance, à son succès et à sa pérennité en affaires.

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Faculty Supervisor:

Abdelaziz Rhnima

Student:

Partner:

Scanbec NDT

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

L2M-Unobtrusive photodetectors and imagers based on transparent semiconductive nanotube membranes

The proposed project focuses on developing unobstructive photodetectors and imagers technology using advanced semiconductors for discreet surveillance applications. By leveraging expertise in sensor technology, the project aims to create inconspicuous imaging solutions integrated into everyday items, addressing privacy concerns associated with traditional photodetectors. The partner organization stands to benefit from the innovative and ethically responsible technology, offering a competitive edge in the market and fostering public trust through transparent and covert surveillance capabilities.

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Faculty Supervisor:

Karthik Shankar

Student:

Partner:

Edmonton Unlimited

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Public administration

University:

University of Alberta

Program:

Business Strategy Internship

Exploring quantum machine and deep learning for malware detection

This project aims to enhance malware detection capabilities through the use of quantum neural networks (QNNs) and quantum machine learning (QML), leveraging quantum computing principles for superior performance compared to classical neural networks. As cyber threats become increasingly sophisticated, QNNs and QML present promising opportunities for breakthroughs in identifying and analyzing malicious activities.
We will implement QNN models using open-source quantum computing frameworks, enabling us to explore the unique advantages of quantum computing, which may lead to more efficient data processing. The project will involve curating diverse malware datasets, ensuring coverage of various types of malware and attack vectors, followed by necessary preprocessing to prepare the data for training.
Once the datasets are ready, we will train the QNN models while experimenting with different architectures and hyperparameters to optimize performance. We will then compare the performance of the QNN models against classical methods using metrics such as accuracy, precision, recall, and F1-score. Ultimately, this project aims to demonstrate how QNNs and QML can significantly improve current malware detection techniques, integrating these advancements into existing cybersecurity frameworks to enhance resilience against evolving cyber threats.

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Faculty Supervisor:

Fadoua Khennou

Student:

Partner:

Cadi Ayyad University

Discipline:

Computer science

Sector:

Education

University:

Université de Moncton

Program:

Globalink Research Award

Création d’un modèle d’encodage XML-TEI pour les registres de comité de la Comédie-Française (1677-1919)

Ce projet de recherche a pour objectif de créer une édition numérique des registres de comités de la Comédie-Française. Ces registres témoignent de la vie quotidienne de la troupe de théâtre, et sont actuellement conservés à la bibliothèque-musée de la Comédie-Française. Grâce au travail des étudiants et étudiantes de master sous la direction de Florence Naugrette et Sara Harvey, nous disposons de transcriptions pour l’ensemble des registres du 17ème et 19ème siècle, ainsi qu’une partie des registres du 18ème siècle.
Le travail qui sera effectué à l’université de Victoria, et plus précisément au HCMC sera de convertir ces transcription en XML-TEI, un schéma d’encodage qui permet de structurer des documents. Cela permettra à terme de consulter le contenu des registres sur le site internet du programme RCF, mais aussi d’effectuer des recherches par mots-clefs dans l’ensemble des registres.

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Faculty Supervisor:

Sara Harvey

Student:

Partner:

Sorbonne Université

Discipline:

Sociology

Sector:

Technology

University:

University of Victoria

Program:

Globalink Research Award

Integrated Digital Communications Strategy & Implementation

The Integrated Digital Communications Strategy & Implementation project aims to enhance and improve Tutor Teach’s current digital marketing and social media presence by developing and testing a comprehensive, data-driven strategy. Through research and innovative approaches, the intern will focus on audience segmentation, platform-specific content creation, and targeted digital advertising campaigns. This project will address Tutor Teach’s current gaps in online customer acquisition by implementing advanced methodologies for lead generation, content optimization, and community engagement. Through these efforts, the project will drive sustainable growth, increase brand visibility, and foster stronger relationships with both customers and our team of contracted instructors.

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Faculty Supervisor:

Dr. Iain MacPherson

Student:

Partner:

Tutor Teach Inc

Discipline:

Business

Sector:

Education

University:

MacEwan University

Program:

Business Strategy Internship

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