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

Bunsen Reaction study as a key step of H2S Splitting cycle in Corning Advanced Flow Reactor

Currently, microreaction technology was applied to Bunsen reaction, a key step of H2S splitting cycle, to improve process capability by overcoming mass transfer limitations. This was achieved by using low-flow advanced reactor (LF-AFR) made by Corning Inc., the smallest model, in our research lab at University of Saskatchewan. Compared to normal scale reactors, microreactors provide an increase in surface to volume ratio, fast and reliable process development, lower environmental impact, and increased safety. For the collaborative research it is planned to use Standard Evaluation Reactor (G1-AFR) for which the maximum flow rate of 200 ml/min could be applied. From this work we hope to understand if our current work with Corning’s low-flow reactor can be repeated in a larger flow reactor and the performance of larger scale Corning reactor in some new reaction system. In this way, a deeper understanding of the Bunsen reaction would be obtained in terms of scalability and process design

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Faculty Supervisor:

Hui Wang

Student:

Partner:

Changzhou University

Discipline:

Engineering

Sector:

Education

University:

University of Saskatchewan

Program:

Globalink Research Award

L2M QC 2024 – «Action contre l’intimidation LGBT.»

Le projet proposé vise à créer une plateforme de soutien spécialisée pour les élèves 2SLGBTQIA+ victimes d’intimidation dans les écoles secondaires du Québec. Cette initiative est cruciale pour répondre aux besoins spécifiques de ces jeunes, souvent confrontés à des formes de harcèlement, d’exclusion, et de violence verbale ou physique en raison de leur identité de genre ou orientation sexuelle.
L’importance de ce projet réside dans sa capacité à offrir une solution innovante et centrée sur la technologie, permettant une intervention rapide et adaptée aux victimes. Contrairement aux méthodes traditionnelles souvent jugées lentes et inefficaces, cette plateforme en ligne permettra aux élèves de signaler les incidents en toute discrétion et d’accéder à un soutien immédiat. Elle proposera également des ressources éducatives, des ateliers, et des activités en présentiel pour promouvoir un environnement scolaire inclusif et respectueux.
L’aspect central de l’étude de marché dans ce projet est crucial pour valider l’idée avant de déterminer les prochaines étapes. En effet, la première étape consistera à mener des entrevues approfondies avec différents acteurs concernés, tels que les élèves, leurs parents, le personnel scolaire, et les organismes partenaires. Ces entretiens permettront de recueillir des données précieuses sur les expériences vécues, les besoins spécifiques, et les services existants. Ces informations seront ensuite analysées pour comprendre le marché, identifier les besoins réels, et orienter le développement de la plateforme et des services proposés.
Cette approche rigoureuse de validation de l’idée par l’étude de marché garantit que le projet répondra efficacement aux attentes des utilisateurs et qu’il disposera d’une base solide pour se développer. Les étapes suivantes incluront la création d’une équipe de conseillers bénévoles 2SLGBTQIA+, la compréhension du fonctionnement d’un organisme à but non lucratif, l’élaboration d’un plan d’affaires robuste, et le développement de la plateforme numérique.

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Faculty Supervisor:

Julián Durazo-Herrmann

Student:

Partner:

V1 Studio

Discipline:

Sociology

Sector:

Education; Social Innovation

University:

Université du Québec à Montréal

Program:

Business Strategy Internship

Exploration of early fault-tolerant Quantum Computing simulation through Hamiltonian discretization

The project’s goal is to determine a quantum-computer suitable discretization of a target Hamiltonian. We will research how to efficiently perform the interaction and kinetic energy integrals with explicitly correlated orbitals using quantum computers, and how to efficiently use the result of those computations for the encoding of Hamiltonians. Assuming the result of the relevant integrals are known classically, there is active research in quantum computing for the efficient block encoding of the resulting discrete Hamiltonian

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Faculty Supervisor:

Stefanos Kourtis

Student:

Partner:

Université Frères Mentouri Constantine 1

Discipline:

Physics

Sector:

Education

University:

Université de Sherbrooke

Program:

Globalink Research Award

High speed electronics for quantum networking

This project aims to design, prototype, and characterize high-speed electronic circuit boards to enhance quantum photonic networking systems. In particular, it aims to meet the strict, emerging demands of quantum telecommunications with high-speed, low-jitter, low-phase noise electronics working at the performance limits of mass-producible electronics. Ki3 Photonics specializes in developing state-of-the-art systems for quantum networking, as a foundation for next-generation sensing, and computing applications. Prof. Richard Al Hadi from ÉTS brings to the project a world-class expertise in high-speed and custom electronics, at a level that can meet the unique demands of quantum networking. This project has substantial anticipated benefits for Ki3 Photonics and the broader Canadian quantum technology sector. By developing high-speed electronic circuits optimized for quantum applications, the project will enhance the performance and reliability of the company’s quantum systems. This aligns with Canada’s National Quantum Strategy

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Faculty Supervisor:

Richard Al Hadi

Student:

Partner:

Ki3 Photonics

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

MUNStar-1 Satellite Attitude Control System Development

C-CORE and Memorial University have teamed to supervised the development of a 3U CubeSat called MUNStar-1. The CubeSat is an earth observation satellite containing a scientific payload for the measurement of Global Navigation Satellite System (GNSS) Reflectometry (GNSS-R) signals. The satellite will measure a number of ocean parameters to help understand climate change impacts, particularly in the North Atlantic, and specifically the waters around Eastern Canada and into the Arctic Ocean. MUNStar-1 is intended to be designed and built by students under the supervision of C-CORE and Memorial University Researchers. MUNStar-1’s scientific payload will play a role in helping to understand Canada’s ocean environment. The ocean plays a significant role in global climate and human activities, and therefore, a good knowledge of our oceans is critical. MUNStar-1 will provide a means of developing innovative GNSS-R applications that can provide important inputs to weather and climate models. The MUNStar-1 research team will focus on providing enhanced knowledge on Canada’s oceans, and climate change impacts.

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Faculty Supervisor:

Jonathan Anderson

Student:

Partner:

C-CORE

Discipline:

Engineering

Sector:

Mining; Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Application of model order reduction techniques for efficient EMT simulation of large converter-interfaced power systems

The widespread use of renewable energy sources requires inverters to connect to the grid for enhanced control and operational flexibilities of the system. However, these “inverter-based resources” (IBRs) can sometimes cause unstable interactions with the grid which necessitate prior detailed simulation studies. Detailed Electro-Magnetic Transient (EMT) simulations are essential for these IBRs due to their higher controller bandwidth. The main challenge with EMT simulations is their high computational burden. A practical solution is to model in detail only an “area of interest” and use an equivalent model for the rest of the network. However, this can lead to computational inefficiency and inaccuracies. This project investigates the applicability of suitable model-order reduction techniques to create accurate, stable, and computationally efficient reduced-order models. The process will be automated and implemented in an EMT program like PSCAD.

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Faculty Supervisor:

Aniruddha M. Gole

Student:

Partner:

Electranix Corporation

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Elevate

Comment maximiser l’engagement des utilisateurs par l’analyse et les modifications des interfaces et de l’expérience usager ?

Imaginez un monde dans lequel vous seriez les acteurs du contenu audiovisuel. Un monde dans lequel votre avis aurait un réel impact sur vos émissions préférées. Ce projet va dans ce sens puisqu’il tente de créer une réelle connexion entre les diffuseurs et les téléspectateurs.
L’interactivité est donc de mise, tentant de mettre l’utilisateur au centre du processus de création. Ce projet aura un aspect lié à l’ergonomie puisqu’il faudra repérer les critères sur lesquels influer pour rendre le contenu de meilleure qualité. Toutefois, un problème demeure. Celui-ci consistant à changer un contenu de façon directe par rapport aux retours reçus. Ce projet consistera à développer et apporter des modifications pertinentes par rapport aux avis reçus, aux critiques des utilisateurs et des producteurs pour permettre ainsi d’influer, de façon visible, sur le contenu diffusé. Liveshout (initiateur du projet) prévoit pouvoir offrir, au terme de ce projet, un service novateur pouvant faire de leur entreprise un chef de file dans ce secteur d’activités. Tous les utilisateurs auront alors un réel contrôle sur le contenu qu’ils regardent, passant du stade de simple spectateur à celui d’acteur.

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Faculty Supervisor:

Sylvain Hallé

Student:

Partner:

LIVESHOUT

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université du Québec à Chicoutimi

Program:

Accelerate

Development and Testing of Advanced Energy Recovery Ventilator Geometries

Buildings globally play a substantial role in energy consumption, representing more than 30% of the total energy demand. However, this energy usage is hindered by a lack of efficiency in HVAC systems, insufficient insulation, and the continuous need for fresh air, resulting in approximately 30% of this energy being wasted. Energy Recovery Ventilators (ERVs) play a crucial role in enhancing energy efficiency in HVAC systems in buildings by capturing and transferring heat and moisture from exhaust air streams to pre-condition inlet fresh air. This study aims to enhance the thermal performance of membrane-based ERVs through modifications in channel design.
In this study, experiments will be conducted using an experimental setup at CORE’s company to investigate novel optimized geometries of ERV. Based on numerical simulations, reducing the channel height on one side of a specific CORE product could increase thermal efficiency by up to 5%. It has been numerically observed that in the same geometry which has a corrugated side, introducing a rib in the flow path enhances mixing, leading to increased heat and mass transfer coefficients. There is a potential for an increase of up to 4% in both sensible and latent effectiveness as a result of this

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Faculty Supervisor:

Steven Rogak

Student:

Partner:

CORE Energy Recovery Solutions

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Short-term streamflow forecasting for the Oldman River

The proposed research project aims to develop accurate and user-friendly models to forecast daily streamflow for the Oldman River in Alberta. This project will involve using advanced machine learning methods, such as Artificial Neural Networks (ANNs), Extreme Gradient Boosting (XGBoost), and Long Short-Term Memory (LSTM), to improve the reliability of streamflow predictions. By enhancing the ability to predict river flow, this research will support better water resource management, including optimizing reservoir operations and flood control. The final outcome will include an interactive web application that automates data collection and updates forecasts in real-time, making it accessible for decision-makers who do not have specialized knowledge.

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Faculty Supervisor:

Evan Davies

Student:

Partner:

Optimal Solutions Ltd

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Identifying Markers of Developmental Competence Using Pluripotent Stem Cell- Derived Blastoids

Currently, embryo implantation success rates in in vitro fertilization (IVF) are low, partly due to subjective and invasive tests. An assay that can quantify embryo potential while preserving its integrity is necessary. Small RNA sequences, microRNAs (miRNAs), are promising, quantifiable, and non-intrusive markers of developmental potential in embryos. Due to ethical concerns with human embryos in research, an alternative model is needed. Recent findings demonstrate the ability of human embryonic stem cells to self-organize into pre-implantation analogues known as blastoids, but it is unknown if blastoids also release development-specific miRNA. We aim to demonstrate blastoids as a model for human embryo potential using miRNAs and ultimately develop an accurate and efficient embryo selection assay. This will improve IVF accessibility, affordability, success rates, and patient satisfaction while reducing operational expenses. Implementing this advanced technology will give the fertility clinic a competitive advantage, enhancing its long-term reputation for trust and credibility.

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Faculty Supervisor:

Dean Betts

Student:

Partner:

London Health Sciences Centre

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

The University of Western Ontario

Program:

Accelerate

Exploratory Study on Net Zero Carbon Building (NZCB) Designs for Cold Climates – Phase I

The following proposal aims to research and develop Net Zero Carbon sustainable design strategies for a chalet, serving as a pioneering study to inform broader net-zero carbon residential developments in Montreal. It is motivated by Canada’s goal of achieving net-zero greenhouse gas emissions by 2050. One intern will work with PLAPROS INC., under the supervision of professors from Concordia University, to conduct this research in 12 months. The research will combine the life cycle method with multi-objective optimization to identify trade-offs between life cycle carbon emissions (LCCE) and life cycle cost (LCC). It will involve a precedent study, identifying optimal design strategies, and researching advanced technologies and low-carbon materials. The process involves design iterations, modeling, optimization, and evaluation, resulting in a valuable feasibility study and business case report. Through this project, the partner will determine the optimal strategy for the designed net zero carbon chalet (NZCC) within a reasonable LCC and quantify the impact of their products on the LCCE of the NZCC. This project will provide a benchmark for PLAPROS in constructing net-zero carbon buildings (NZCBs) and position it as a leader in sustainable building practices in Canada.

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Faculty Supervisor:

Liangzhu Wang

Student:

Partner:

Plapros Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

Etude in vivo d’une formulation de nanoliposomes fonctionnalisés (chimiquement modifiés) en tant que système de livraison pour la fonction cérébrale

Le vieillissement de la population impose un vrai défi sociétal afin de maintenir la qualité de la vie, l’autonomie, et la productivité de l’individu âgé tout en minimisant les dépenses de santé. L’un des éléments majeurs de ce défi concerne le vieillissement cérébral lié au développement des maladies neurodégénératives, notamment la maladie d’Alzheimer (MA).
Actuellement dans le monde, plus de 50 millions de personnes sont atteintes de la maladie d’Alzheimer. Ce chiffre pourrait atteindre 152 millions d’ici 2050 si aucune solution thérapeutique ou préventive n’a été trouvée.
Dans l’optique de développer une stratégie efficace de prévention, le projet vise étudier in vivo (sur des souris) l’efficacité de nouvelles formulations de nanoliposomes fonctionnalisés (chimiquement modifiés) sur le cerveau. Cette démarche offre une opportunité unique d’approfondir la compréhension des interactions et l’efficacité entre les nanoliposomes fonctionnalisés et le système nerveux central, élargissant ainsi la portée des recherches menées jusqu’à présent.

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Faculty Supervisor:

Mélanie Plourde

Student:

Partner:

Université de Lorraine

Discipline:

Engineering

Sector:

Education

University:

Université de Sherbrooke

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.