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

Advanced Transceiver Design for Smart Grid Communications

Smart grids, the future of electricity grids, aim to accommodate the escalating global demand for electricity. Pivotal to this progression are wireless networks, which are crucial for monitoring and controlling electricity generation, transmission, and consumption. Wireless networks, with their cost-effectiveness, flexibility, expansive coverage, inherent self-organization, and rapid deployment, are superseding traditional wired communication. However, the transition presents formidable challenges, such as robust RF interference or impulsive noise in adverse environments.
This research project aims to surmount these obstacles by improving the robustness and efficiency of wireless communication systems in smart grids, focusing on combating impulsive noise with memory. By focusing on Artificial Intelligence (AI)-based Semantic Communication, the project will ensure that the meaning and intent behind the information are accurately conveyed and understood, despite the presence of impulsive noise and strong RF interference. This approach promises not only to optimize the use of the wireless spectrum but also to maintain the reliability of critical information transmission within smart grids. Through precise noise modeling, AI-driven transceiver design, and the advancement of semantic-based multiple access techniques, this research aims to advance the field of wireless communications for smart grids, ensuring efficient and reliable electricity distribution in response to the evolving energy landscape.

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Faculty Supervisor:

Georges Kaddoum

Student:

Partner:

University of Oulu

Discipline:

Engineering

Sector:

Education

University:

École de technologie supérieure

Program:

Globalink Research Award

Access Justice in Post-Secondary Education: Advancing Remote and Hybrid Options for Accessible Learning, Work, and Community

The surge in options for online participation that accompanied the onset of the COVID-19 pandemic in 2020 was recognized by disability community members as a potential basis for accessibility gains, including in employment and education, where remote and hybrid access accommodations were previously characterized as impossible to implement. As much of the world has “returned to normal” following the cancellation of pandemic precautions, the withdrawal of remote and hybrid access options has resulted in the exclusion of many disabled people. Through this project, I aim to learn from disabled people about how the rollback of remote and hybrid options for working, learning and community participation in the post-secondary education sector in Canada has impacted their lives; and to understand how advocates and activists in this sector enact disability-centred access practices through their work to support options for accessible remote and hybrid participation. In collaboration with Re•Vision: The Centre for Art and Social Justice at the University of Guelph and Surface Impression, an industry leader in accessible digital design, I will create a series of public digital resources to promote awareness of the importance of remote and hybrid access, and practical guidelines for their successful—and fully accessible— implementation.

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Faculty Supervisor:

Carla Rice

Student:

Partner:

Surface Impression

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

Elevate

Development of Compact Robot for Transcranial Magnetic Stimulation (TMS)

robotic TMS coil holder will be developed with the primary objectives of being low-cost and providing a haptic interface for intuitive user manipulation. The key approach to achieving these goals is through reducing the system to the minimal components and working envelope. Frameless neuronavigation methods are capable of easily placing the coil within millimeters of the target, thus through the combination of optical tracking, robotic precision, and fixed coil support, the proposed robotic holder would be capable of repeatable and accurate positioning of a TMS coil. The system would allow for the user to freely manipulate a support arm in order to place the coil within a rough area of the target. Following initial placement, the user would lock the arm and allow the robotic holder to execute the final position refinement using optical tracking as a closed-loop feedback. This new project will allow Rogue Research Inc. to access an untouched market for low-cost precision solutions to TMS coil placement, especially within research settings

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Faculty Supervisor:

Ilian Bonev

Student:

Partner:

Rogue Research Inc

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

High-Harmonic Generation of intense Terahertz Pulses using Quantum Heterostructures

This collaborative initiative between the Terahertz Physics Lab at IISER Bhopal (India) and the Advanced Laser Light Source (ALLS) Lab (Canada) combines the expertise of the individual groups in the fields of Material Science, Condensed Matter Systems, and intense Terahertz (THz) radiation to drive novel research. The project utilizes intense terahertz pulses to explore new functionalities of quantum heterostructures, particularly strongly correlated oxide thin film heterostructures of Transition Metal Oxides (TMOs). We aim at studying the nonlinear properties of these quantum materials using high-order harmonics generated by intense THz waves and check for their usability in optoelectronic devices and frequency combs. This collaboration not only addresses industry challenges but also expands the international network of INRS, contributing to pioneering research. The research solidifies Canada’s leadership in scientific innovation, creating opportunities for both nations. The collaboration facilitates knowledge exchange, fostering mutual international progress in material sciences. Significantly, it leverages the strengths and resources of both nations to address shared research challenges and contribute to the global scientific community.

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Faculty Supervisor:

Tsuneyuki Ozaki

Student:

Partner:

Indian Institute of Science Education and Research Bhopal

Discipline:

Physics

Sector:

Quantum Science; Nanotechnology

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Globalink Research Award

Quantum Machine Learning for cybersecurity

La cybersécurité est devenue une préoccupation majeure pour les entreprises et les organisations en raison de la croissance exponentielle des menaces en sécurité informatique. Internet est un élément critique qui est devenu un réseau universel de communication. Les attaques réseau, y compris les attaques par déni de service distribué (DDoS), sont considérées comme l’une des principales menaces en matière de sécurité et les cyberattaques les plus dévastatrices qui continuent de causer des dommages collatéraux. Conscient de ce défi, le projet se concentre sur l’exploitation du domaine émergent de l’apprentissage machine quantique (AMQ) pour révolutionner les capacités des systèmes de détection d’attaques réseau. L’intégration de l’informatique quantique avec des algorithmes d’apprentissage machine promet de créer une solution de cybersécurité qui va au-delà des approches conventionnelles. En explorant le domaine quantique, nous visons à améliorer la capacité du système à discerner et à répondre à des schémas complexes associés à des attaques réseau sophistiquées. Le projet se concentrera sur le développement et la mise en œuvre de techniques d’apprentissage machine quantique, y compris des techniques centralisées et distribuées (telles que l’apprentissage fédéré), pour l’identification des attaques réseau. Cela impliquera une approche multidisciplinaire combinant l’informatique quantique, l’apprentissage machine et l’expertise en cybersécurité.

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Faculty Supervisor:

Zakaria Abou El Houda

Student:

Partner:

École nationale supérieure d'ingénieurs de Caen

Discipline:

Computer science

Sector:

Quantum Science; Cyber Security; Artificial Intelligence

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Globalink Research Award

Analyse des comportements de déplacement anticipés post-COVID et développement de scénarios futurs plausibles

This project is part of the Canada Research Chair on the mobility of individuals, with a specific focus on understanding the shifts in travel behaviors after the pandemic. Its main objective is to construct models that capture the intricacies of mobility behaviors in a post-COVID world. Employing a diverse range of data sources, including insights gained from surveys, the researcher endeavors to meticulously investigate the behavioral changes throughout the pandemic.
A noteworthy aspect of this research involves the refinement of the survey during the third wave of data collection in 2022. This enhancement includes the incorporation of important questions related to teleworking and online shopping, providing a nuanced perspective on the evolving landscape of mobility.
Anticipated outcomes encompass the development of a sophisticated approach for creating post-COVID mobility scenarios. This involves combining data from regional Origin-Destination surveys with insights derived from the COVID-19 travel survey waves. Furthermore, the researcher is tasked with the estimation of behavioral models, aiming to anticipate the future trends in teleworking and online shopping activities.
The significance of this project extends globally, offering valuable insights that contribute to a more profound comprehension of how the pandemic has brought transformative changes in our travel behaviors and daily activity patterns.

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Faculty Supervisor:

Catherine Morency

Student:

Partner:

Université de Lyon (ENTPE)

Discipline:

Engineering

Sector:

Transportation (excluding aerospace)

University:

Polytechnique Montréal

Program:

Globalink Research Award

Evaluation of Inter-well Connectivity for Well Spacing Optimization

A consequence of modern development of low-permeability (‘unconventional’) reservoirs using multi-fractured horizontal wells (MFHWs) is inter-well communication. Because inter-well communication can affect well performance for many wells, oil and gas operating companies are interested in the development of easy-to-implement, but effective, reservoir engineering methods for quantifying inter-well connectivity between MFHWs. Current methods for quantifying inter-well connectivity include rate-transient analysis (RTA) and pressure-transient analysis (PTA, well-testing). In this research project, a combination of RTA/PTA approaches will be explored, and a workflow developed, for the efficient evaluation of inter-well connectivity. A workflow that integrates these RTA/PTA approaches for more effective inter-well connectivity analysis will be provided to the industry partner. The benefit of this study to the partner organization is the provision of tools, databases and workflows that can assist with the optimization of field development practices such as well spacing.

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Faculty Supervisor:

Christopher Clarkson

Student:

Partner:

Ovintiv

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Valorization of agricultural residues to value-added products

Oats and faba beans, often wasted in current processing methods, can be transformed into valuable food products. This can increase their economic potential and lessen environmental impact. Our proposal breaks down crop residues into sugars and lignin. Sugars are fermented into single-cell protein, while lignin is converted into vanillin. This vanillin, combined with sugars, produces capsaicinoids like capsaicin, a common spice and flavoring agent. This scheme creates new revenue streams and can be implemented on farms.

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Faculty Supervisor:

Vikramaditya Yadav

Student:

Partner:

C-Merak Innovations Inc.

Discipline:

Engineering

Sector:

Agriculture; Manufacturing

University:

The University of British Columbia

Program:

Accelerate

Réduction de l’empreinte environnementale des projets d’infrastructures

Dans le contexte actuel de changements climatiques et de réduction des gaz à effet de serre (GES), les municipalités québécoises doivent intégrer des matériaux plus respectueux de l’environnement dans leurs projets d’infrastructures routières. Pour les aider à sélectionner ces matériaux, le projet vise à développer un outil d’aide à la décision qui leur permettra de comparer différentes options de matériaux et de prendre des décisions éclairées en favorisant l’utilisation de matériaux durables. Les étapes de recherche comprennent une revue de littérature, la recherche de matériaux d’intérêt, l’élaboration de l’outil et l’étude de son adoption par les municipalités.

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Faculty Supervisor:

Benoit Courcelles

Student:

Partner:

Centre d'expertise et de recherche en infrastructures urbaines

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Elevate

Étude du développement et de la propagation dans les eaux souterraines des anomalies hydrogéochimiques des gîtes métallifères du Bouclier canadien profond; facteurs d’influence et paramètres de contrôle du continuum eau de recharge / saumures profondes

Le partenaire industriel CONSOREM détient actuellement une base de données unique contenant plus
de 250 analyses chimiques d’eau souterraine prélevée dans des forages d’exploration jusqu’à de grandes
profondeurs (1150 m) en Abitibi. Les données ont permis de révéler l’existence d’empreintes
géochimiques singulières dans l’eau souterraine, causées par la présence de la minéralisation. Les
processus impliqués dans la formation de cette signature chimique particulière demeurent incompris. Ce
projet postdoctoral consiste à améliorer la compréhension de la composition et de la propagation du halo
anomalique. Les nouvelles connaissances générées permettront de mieux cerner l’utilisation de la
méthode pour l’exploration profonde et visent à augmenter le potentiel de découvertes en profondeur.

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Faculty Supervisor:

Julien Walter

Student:

Partner:

Consortium de recherche en exploration minérale

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

Université du Québec à Chicoutimi

Program:

Accelerate

Redesign of Dental Preventive Formulations- Part I. Identification of Potential Remineralization Enhancers

Every day, people put their teeth at risk by eating foods that contain a lot of sugar. A lack of brushing teeth causes the build-up of bacteria. The bacteria use the sugars present in these foods to cause the weakening of teeth and if left untreated, can lead to holes and cavities in teeth. The concept of “re-mineralization” is the idea of using minerals such as calcium to make teeth stronger and have them heal faster. The goal of this project is to make the process of “re-mineralization” stronger and faster so that patients can benefit from the repair of the damage caused by food and bacteria. The partnered company, Medicom, is expected to be able to benefit from this project from the development of a new product formulation.

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Faculty Supervisor:

Bertrand Jean-Claude

Student:

Partner:

Medicom

Discipline:

Life Sciences

Sector:

Manufacturing

University:

McGill University

Program:

Accelerate

Méthode algorithmique de l’exploitation de la donnée sur les disjoncteurs moyenne et haute tension

Le réseau électrique d’Hydro-Québec est protégé par un peu plus de 9000 disjoncteurs haute et moyenne tension.
La maintenance des disjoncteurs est d’une importance absolue pour assurer leur fiabilité et leur longévité de
service. Cependant, le réseau est vieillissant et une maintenance systématique n’est pas une solution optimale
pour garantir leur fiabilité qui change avec leur âge plus avancé. Une maintenance préventive conditionnelle
incluant une surveillance en continu devient alors une solution prometteuse.
Dans cette optique, le projet de maîtrise s’insère dans un projet en cours qui vise l’intégration des diagnostics et
l’implémentation ciblée de surveillance en continu des disjoncteurs. L’objectif est de collecter et centraliser
diverses données autour d’un disjoncteur telles que les signaux physiques (pressions du gaz, températures), les
données d’exploitation (temps d’ouverture, durée de l’arc électrique, intensité d’un courant de court-circuit), les
résultats de tests périodiques (inspections visuelles, mesure de résistance des contacts, chronométrage, etc.).
Pour obtenir le plein potentiel du système, l’interprétation automatique des données complexes est primordiale.
L’objectif principal de ce projet de maîtrise est l’élaboration des algorithmes qui mettront en évidence l’état du
disjoncteur. Ces algorithmes comportent le traitement des signaux, l’évaluation des indicateurs d’état, la
recherche de relations entre les différentes données incluant les mécanismes de dégradation des disjoncteurs
des algorithmes de pronostics afin de prévenir une défaillance.

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Faculty Supervisor:

João Pedro Fernandes Trovão

Student:

Partner:

Hydro-Quebec

Discipline:

Physics

Sector:

Energy and Utilities; Technology; Other

University:

Université de Sherbrooke

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.