Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

30 508 projets complétés

2882
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5105
C.-B.
825
MB
681
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860
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9051
ON
9491
QC
97
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586
NB
1141
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Projets par catégorie

Bridging Cognitive and Motor Reserve Across Cultures: Linking Lifestyle and Aging in Canada and Italy

This project will explore how balance-based physical activities such as tai-chi, yoga, dance, and martial arts may help protect memory, thinking, mobility, and overall brain health as people age. Although many studies show that lifestyle habits can support healthy aging, much less is known about how different countries measure brain and cognitive health in older adults. By bringing together researchers at Concordia University in Canada and the University of Padova in Italy, this study compares how different cultures assess and understand cognitive and motor aging. Using balance tests, cognitive assessments, and non-invasive brain-activity measures, this collaboration aims to identify lifestyle habits that support healthy aging and to develop more inclusive, culturally responsive tools for assessing brain health in older adults worldwide. Both institutions will benefit from this collaboration through the exchange of complementary expertise, with Italy contributing strengths in ecological neuropsychological assessment and Canada contributing experience in brain-activity and balance-based research. Ultimately, this partnership will strengthen international ties and support long-term advancements in aging science across both countries.

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Superviseur du corps professoral :

Karen Li

Étudiant :

Partenaire :

University of Padua

Discipline :

Sociology

Secteur :

Education

Université :

Concordia University

Programme :

Globalink Research Award

A Comparison of Supply Chain Liability Between Canada and the EU

As an advanced form of Corporate Social Responsibility (CSR), supply chain liability extends companies’ responsibilities along the Global Value Chain (GVC). Thus, top brands (the primary entities in the GVC) can be held accountable for the conduct of their suppliers (secondary contractors). For labour issues, Supply Chain Responsibility has the potential to center and enforce the needs of workers. Courts in Canada and Europe hold divergent attitudes toward supply chain liability. Nevertheless, in recent years, the EU and Canada have both endorsed supply chain liability regulations. They are the Corporate Sustainability Due Diligence Directive (CSDDD) in the EU and the Fighting Against Forced Labour and Child Labour in Supply Chains Act in Canada. This project aims to compare Canadian and EU approaches to supply chain liability, including their scope, enforcement and extra-territorial jurisdiction. Comparing the Canadian and EU approaches from the perspective of extra-territorial jurisdiction can fill a gap in the understanding of supply chain liability. My project will benefit Canada’s legislative approaches, companies’ compliance, and affected communities’ access to supply chain liability.

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Superviseur du corps professoral :

Liam Mchugh-Russell

Étudiant :

Partenaire :

European University Institute

Discipline :

Sociology

Secteur :

Education

Université :

Dalhousie University

Programme :

Globalink Research Award

Applied AI Solution Development V2

This project aims to help Rogers Communications bring real-world AI and Generative AI (GenAI) solutions to life across Business units like Customer Care, Network, HR and Rogers Business. A team of five interns from the University of Waterloo will work with Rogers’ Data & AI Strategy team to turn identified promising use cases into working solutions. Their focus will be on building small-scale models (called MVPs), testing them with users, tracking their performance, and preparing them for wider use. Another intern will be specially allocated to work on AI governance at Rogers with the Data & AI Strategy team, developing enterprise AI governance frameworks. This project will speed up Rogers’ ability to adopt AI in a responsible and scalable way, while also giving students hands-on experience in a real business setting. Ultimately helping Rogers improve service, efficiency and innovation while training the next generation of AI talent.

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Superviseur du corps professoral :

Judene Pretti

Étudiant :

Partenaire :

Rogers Communications Inc.

Discipline :

Engineering

Secteur :

Information and cultural industries

Université :

University of Waterloo

Programme :

Business Strategy Internship

Integrated Machine Learning Framework for Optimizing Residual Material Selection in Environmental Remediation

This project will develop an easy-to-understand and transparent machine learning system that helps identify the best residual materials to clean up environmental contamination, especially in areas affected by mining. Materials such as biochar, zeolite, dolomite, and wood ash are already known to help remove pollutants like heavy metals, phenolic compounds, acid mine drainage, and gases, but current research is scattered and often hard to compare. To address this, the project will bring together information from laboratory tests, pilot experiments, and long-term field studies into one organized dataset. Using this combined data, the intern will build machine learning models that can compare materials and recommend which option works best for a specific contamination scenario. The project will also include simple explanation tools to show why the model makes each recommendation and how confident it is in its predictions. Field data from the Abitibi-Témiscamingue region, where mining and forestry activities produce large amounts of residual materials, will be used to test and refine the system. By the end of the project, the participating institutions will benefit from a practical decision-support tool that improves environmental management, supports sustainable reuse of industrial by-products, and strengthens collaboration between research, industry, and local communities.

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Superviseur du corps professoral :

Flavia Braghiroli

Étudiant :

Partenaire :

Universidade de São Paulo

Discipline :

Engineering

Secteur :

Education

Université :

Université du Québec en Abitibi-Témiscamingue

Programme :

Globalink Research Award

High temperature characterization and modeling of GaN transistors

This research project makes use of computer-based models in order to investigate the high temperature behavior of Gallium Nitride (GaN) power transistors. The GaN technology is finding more and more applications in different sectors like energy, transportation, and industrial systems due to the possibility of making power converters smaller and more efficient. The understanding gained from the project’s temperature effect study will be applicable to design and reliability of future power electronics, thus facilitating the development of new technologies. The partnership between the home and host institutions not only enhances the skill set in device physics, simulation, and modeling but also paves the way for more extensive joint research on advanced semiconductor materials in the long run.

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Superviseur du corps professoral :

Ahmad Hassan

Étudiant :

Partenaire :

Zewail City of Science, Technology and Innovation

Discipline :

Engineering

Secteur :

Information and Communications Technology

Université :

Polytechnique Montréal

Programme :

Globalink Research Award

Participatory Mapping for Assessing Social Cumulative Effects of Extractive Industries in Rio de Janeiro, Brazil

This project will explore how extractive industries, such as offshore oil and gas, have affected the Maria Joaquina Quilombola community in Rio de Janeiro, Brazil. Using participatory methods, such as community workshops and mapping, the study will document how the community has experienced social cumulative effects. The project seeks to enhance understanding and evaluation of these impacts on Quilombo communities, with the goal of improving assessment, monitoring, and mitigation strategies. More broadly, the study addresses the persistent neglect of social and cumulative impacts and offers a case study to inform best practices in impact assessment. Collaboration between Concordia University and the State University of Rio de Janeiro (UERJ) will strengthen research partnerships between Canada and Brazil, facilitate knowledge exchange on participatory assessment methods, and support future academic collaborations.

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Superviseur du corps professoral :

Sebastien Caquard

Étudiant :

Partenaire :

Universidade do Estado do Rio de Janeiro

Discipline :

Sociology

Secteur :

Education

Université :

Concordia University

Programme :

Globalink Research Award

Check Fraud Network Detection Using Graph Neural Networks (GNNs)

(1) Partner Activities: Nasdaq Verafin is a global leader in financial crime management, providing advanced fraud detection and anti-money laundering solutions to financial institutions. The company processes millions of transactions daily, including check-based payments, to identify suspicious patterns and prevent financial crimes.
(2) Challenges: A critical challenge in check fraud detection is identifying sophisticated fraud rings that operate across multiple accounts and institutions. Traditional rule-based systems analyze transactions in isolation, missing network-level patterns where fraudsters use stolen or counterfeit checks systematically. Single-transaction analysis results in high false positive rates and fails to detect coordinated fraud schemes involving altered payees, check washing, and organized fraud rings.
(3) Anticipated Benefits: This GNN-based approach will provide Nasdaq Verafin with a powerful network-aware fraud detection capability, enabling identification of fraud rings and coordinated attacks that conventional methods miss. By analyzing checks within their relational context—incorporating image similarity, account relationships, and transactional patterns—the system will significantly reduce false positives while improving detection of organized fraud schemes. This innovation will enhance Verafin’s competitive advantage, strengthen its fraud prevention platform, and provide clients with more sophisticated protection against emerging check fraud tactics, ultimately reducing financial losses across the banking industry.

Voir la description complète du projet
Superviseur du corps professoral :

Terrence Tricco

Étudiant :

Partenaire :

NASDAQ Canada Inc

Discipline :

Computer science

Secteur :

Finance and Insurance; Information and cultural industries

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Intelligent OCR Routing System for Cheque Processing

(1) Partner Activities: Nasdaq Verafin is an industry leader in developing advanced anti-financial crime solutions, helping financial institutions worldwide detect and prevent fraud and money laundering through its sophisticated data analysis platform.
(2) Challenges: The primary challenges this project addresses are the significant operational cost associated with processing millions of cheque images for fraud analysis. Relying exclusively on premium, paid OCR services is expensive and not scalable. The previous project successfully created a system to mitigate this, and the challenge now is to evolve that system into a more intelligent and granular solution to maximize efficiency.
(3) Anticipated Benefits: The economic benefits for Nasdaq Verafin are direct and substantial. The initial research established a baseline demonstrating significant cost reductions in OCR processing by intelligently routing a large portion of images to open-source engines. This continuation project will deliver even greater savings by developing a more granular, field-specific routing system and a dynamic, machine learning-powered feedback loop for continuous optimization. This innovation will not only lead to further direct cost savings but also improve the scalability and efficiency of Nasdaq Verafin’s platform, strengthening its competitive advantage by making core services more technologically advanced and cost-effective.

Voir la description complète du projet
Superviseur du corps professoral :

Terrence Tricco

Étudiant :

Partenaire :

NASDAQ Canada Inc

Discipline :

Computer science

Secteur :

Finance and Insurance; Information and cultural industries

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Réseaux de neurones graphiques pour le routage d’énergie dans les réseaux électriques intelligents

This project aims to make power grids smarter and more efficient by using a type of artificial intelligence called Graph Neural Networks along with Deep Reinforcement Learning. Just like a GPS finds the best route for a car, our system will find the optimal paths for electricity to travel, especially from clean but unpredictable sources like solar and wind. This will help reduce energy waste, lower costs, and make the power supply more reliable for everyone. For the participating institutions, this collaboration creates a powerful link between Canadian and Algerian researchers, combining their expertise to produce cutting-edge research, train highly skilled students, and strengthen their global reputation as leaders in artificial intelligence and sustainable energy technology.

Voir la description complète du projet
Superviseur du corps professoral :

Khadidja Henni

Étudiant :

Partenaire :

École nationale supérieure d'informatique

Discipline :

Computer science

Secteur :

Sustainability and the Environment; Energy and Utilities; Green/Alternative Energy

Université :

Université TÉLUQ

Programme :

Globalink Research Award

Partage des voies cyclables : défis et solutions pour une mobilité inclusive

Ce projet vise à mieux comprendre comment différentes personnes cohabitent sur et autour des voies cyclables : cyclistes, piétons, personnes en fauteuil roulant ou utilisant une aide à la mobilité, personnes aveugles ou malvoyantes, et utilisateurs de trottinettes. Avec la popularité croissante du vélo et de la mobilité active, ces espaces deviennent des lieux où se rencontrent des besoins, des vitesses et des vulnérabilités variés. Cela peut créer des situations d’inconfort ou d’insécurité, par exemple aux intersections, aux arrêts d’autobus ou dans les zones partagées. Pour éclairer ces enjeux, le projet réalisera une revue des connaissances existantes : quelles difficultés sont vécues par les usagers? Quelles solutions ont déjà été mises en place ailleurs, que ce soit dans l’aménagement, la signalisation, la réglementation ou la sensibilisation? Les résultats permettront à la Ville de Québec et au Regroupement des organismes de personnes handicapées de la Capitale-Nationale de mieux adapter les infrastructures cyclables pour qu’elles soient sécuritaires, accessibles et inclusives. Ultimement, ce projet contribue à promouvoir une mobilité durable qui tient compte de toutes et tous.

Voir la description complète du projet
Superviseur du corps professoral :

François Routhier

Étudiant :

Partenaire :

Ville de Québec

Discipline :

Sociology

Secteur :

Administrative and support, waste management and remediation services; Public administration; Utilities

Université :

Université Laval

Programme :

Accelerate

Measurements using a setup to demonstrate the decoy-state approach.

The internship project, performed in collaboration with a theorist group at the University of Calgary, will demonstrate the decoy-state approach to analyze simple – but non-trivial – circuits with 2-3 inputs and outputs utilizing bulk photonics components. The intern will assist the team with building a setup and perform the measurements needed for the analysis. This work will involve the use of fast electronics (arbitrary waveform generators, amplifiers, time-taggers), optical/phtonic components (optical fibers, power meters, phase- and intensity modulators, couplers), single-photon detectors, and coincidence analysis tools. The intern may also be involved in the decoy state analysis depending on time and progress

Voir la description complète du projet
Superviseur du corps professoral :

Daniel Oblak

Étudiant :

Partenaire :

Université Paris Cité

Discipline :

Physics

Secteur :

Education

Université :

University of Calgary

Programme :

Globalink Research Award

Récupération des minéraux critiques et stratégiques (MCS) à partir des résidus miniers et du drainage minier de sites abandonnés au Québec

La gestion responsable des rejets solides et liquides représente un enjeu majeur pour l’industrie minière. Ce projet vise à développer des solutions innovantes pour le traitement des eaux minières contaminées, en mettant l’accent sur la récupération des minéraux critiques et stratégiques (MCS) tels que le cuivre et le zinc. Ce projet de recherche s’articule autour: i) du développement et de l’optimisation de procédés de récupération des MCS à partir des eaux minières; et ii) de la valorisation des résidus de post traitement, afin de les transformer en ressources secondaires pour des applications industrielles.
La méthodologie s’appuie sur la collecte et la caractérisation physico chimique des eaux minières contaminées suivies d’essais expérimentaux en laboratoire pour évaluer les performances des procédés de récupération sélective (i.e., précipitation (bio )chimique sélective, sorption). Les retombées attendues de ce projet de stage sont : l’identification du potentiel en MCS présents dans les eaux minières provenant de parcs à résidus miniers non restaurés ; l’identification des procédés et conditions opératoires favorables à la valorisation sélective des MCS présents dans les eaux minières ; la diminution des impacts environnementaux liés à la valorisation de ces MCS.

Voir la description complète du projet
Superviseur du corps professoral :

Mehrez Hermassi

Étudiant :

Partenaire :

Université de Lorraine

Discipline :

Earth science

Secteur :

Education

Université :

Université du Québec en Abitibi-Témiscamingue

Programme :

Globalink Research Award

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