Projets novateurs réalisés

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

30156 projets achevés

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5059
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812
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673
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842
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8957
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96
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579
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1120
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Projets par catégorie

Lexical Development in Multilingual Immigrant Children: Cognitive and Sociocultural Influences on English Vocabulary Acquisition

This project explores how multilingual immigrant children aged 8–13 in Canadian ESL support programs acquire English vocabulary during their early years of settlement. Vocabulary development is crucial for academic success, yet many newcomer children face barriers that go beyond language exposure alone. The research investigates how cognitive factors, such as working memory and phonological processing, interact with sociocultural influences, including parental education, home language use, and quality of instruction. It aims to explain individual differences in vocabulary outcomes, even among children from similar socioeconomic backgrounds. By integrating quantitative and qualitative methods, the study will also explore how informal knowledge (e.g., storytelling, community literacy practices) and emotional experiences impact vocabulary learning. This fills a gap in current Canadian research, which rarely examines how these variables operate together in real ESL classrooms. The findings will inform differentiated instruction and culturally responsive practices, supporting educators in addressing the diverse needs of newcomer students. In a multilingual country like Canada, where one in four school-aged children speaks a non-English language at home, this project will contribute to equitable, evidence-based education policy and improved outcomes for immigrant learners.

Voir la description complète du projet
Superviseur du corps professoral :

Esther Geva

Étudiant :

Partenaire :

Amity University

Discipline :

Sociology

Secteur :

Education; Public Service, Policy, and Governance

Université :

University of Toronto

Programme :

Globalink Research Award

Greycor Projects Ltd.

Greycor Projects Ltd. is a dynamic residential construction company that specializes in crafting custom homes designed to meet the evolving needs of clients across urban and rural landscapes. As Greycor continues to expand its operations and manage increasingly complex projects, the organization has identified a critical need to innovate its administrative and financial management processes. Currently, data entry, accounts tracking, and reporting are performed using conventional methods that are functional but not optimized for scalability or efficiency. This creates challenges in maintaining real-time oversight of financial health, project metrics, and operational workflows—especially as the company grows and takes on larger, more diverse projects.
The innovation priority for Greycor is to design and implement administrative systems and tools that will transform how financial and operational data is collected, organized, and utilized. This project will go beyond routine tasks by introducing creative solutions for streamlining workflows, automating reporting processes, and improving accuracy in financial tracking. For example, developing improved spreadsheet models, refining QuickBooks Online usage, and identifying process gaps will allow Greycor to reduce manual workload and enable data-driven decision-making. These innovations will not only improve internal efficiency but also position the company to better serve its clients and adapt to future business demands.

Voir la description complète du projet
Superviseur du corps professoral :

Heather Harrison

Étudiant :

Partenaire :

Greycor Projects Ltd

Discipline :

Business

Secteur :

Construction and infrastructure

Université :

Kwantlen Polytechnic University

Programme :

Business Strategy Internship

Guiding delisting decisions in the Great Lakes area: Development of a Bayesian network modeling framework for predicting eutrophication in the Bay of Quinte – Year 2

The Bay of Quinte, a Z-shaped embayment at the northeastern end of Lake Ontario, represents a characteristic case, where scientific uncertainty underlies the current management efforts to integrate environmental concerns with socioeconomic values. The proposed project aims to develop a methodological tool that can be easily engaged with the policy practice of adaptive management and to illustrate the ability of this framework to update and improve model predictions and management actions. The project design is perfectly tailored to dictate the Best Management Practices that would lead to significant reduction of phosphorus export from the Bay of Quinte watershed and to evaluate the uncertainty associated with the assessment of the Beneficial Use Impairment “Eutrophication and Undesirable Algae”. The proposed research will be a reference point of how rational modelling and empirical knowledge can be used to guide system restoration and spark collaboration with the industry for future green initiatives.

Voir la description complète du projet
Superviseur du corps professoral :

George Arhonditsis

Étudiant :

Partenaire :

AEML Associates Ltd;University of Toronto

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Elevate

Finning

Finning Canada, the world’s largest Caterpillar dealer, supports critical industries such as mining, construction, and power systems with equipment sales, rentals, parts, and service. While Finning has a long-standing reputation for operational excellence, it faces an innovation challenge in modernizing its Sales Training and Employee Onboarding processes to meet the evolving needs of a digital and globally connected workforce. Currently, onboarding and training resources are dispersed across platforms, leading to inconsistent branding, inefficient access to information, and a fragmented user experience. This limits Finning’s ability to deliver a seamless, interactive onboarding journey that supports employee engagement, diversity and inclusion initiatives, and alignment with its global talent strategy.

Voir la description complète du projet
Superviseur du corps professoral :

Heather Harrison

Étudiant :

Partenaire :

Finning International

Discipline :

Business

Secteur :

Construction and infrastructure; Mining

Université :

Kwantlen Polytechnic University

Programme :

Business Strategy Internship

Technical Business intern(s) working within cross-functional teams to commercialize AI-powered solutions in the Public Services Sector (2)

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. AltaML’s AI Lab for Government, also known as GovLab, is a talent accelerator for public service professionals, post-secondary students and recent graduates. GovLab.ai’s mission is to set a global example of how to transform the public sector through applied AI, and is designed to encourage the growth of technical and business AI skill sets that are in high demand across Alberta and around the world. AltaML’s Venture Studio is an incubator program that works with founders and co-founders in the emerging tech industry to scale ideas, build venture products, and launch AI/ML startups across numerous industries; this includes our venture partners at Brilliant Harvest (AgTech), Jurisage Group Inc. (Legal Tech), and Prevoir (Fashion Tech).

Voir la description complète du projet
Superviseur du corps professoral :

Michael Maier

Étudiant :

Partenaire :

AltaML

Discipline :

Business

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Alberta

Programme :

Business Strategy Internship

Integrated Enclosure Optimization and Software Architecture Development for Buddha Health Products.

Buddha Health Products is an emerging health technology company focused on non-invasive wellness monitoring and personalized therapeutic solutions. Its primary activities involve developing smart actuator devices integrated with digital platforms to track health metrics and deliver targeted interventions. The company has already completed hardware R&D and, in collaboration with WIMTACH, finalized the UI/UX design. The current phase of the project is to develop a fully functional MVP, including a robust cross-platform mobile application and a web-based admin panel. This MVP will be used to gather user feedback, validate product-market fit, and optimize the application accordingly. The key challenge is ensuring seamless integration between hardware and software while maintaining scalability, reliability, and user-centric functionality. This initiative is expected to significantly reduce time-to-market and strengthen Buddha Health’s technical foundation. By building a refined and tested MVP, the company can enhance investor confidence, improve market readiness, and prepare for large-scale deployment. Economically, the project positions Buddha Health for faster commercialization and greater competitiveness. Socially, it supports the broader adoption of accessible, non-invasive digital health tools that empower individuals to monitor and manage their wellness more proactively.

Voir la description complète du projet
Superviseur du corps professoral :

Tenzin Jinpa

Étudiant :

Partenaire :

Buddha Health Products

Discipline :

Computer science

Secteur :

Retail trade

Université :

Centennial College of Applied Arts and Technology

Programme :

Accelerate

Guiding delisting decisions in the Great Lakes area: Development of a Bayesian risk assessment methodology

The Bay of Quinte, a Z-shaped embayment at the northeastern end of Lake Ontario, represents a characteristic case, where scientific uncertainty underlies the current management efforts to integrate environmental concerns with socioeconomic values. The proposed project aims to develop a methodological tool that can be easily engaged with the policy practice of adaptive management and to illustrate the ability of this framework to update and improve model predictions and management actions. The project design is perfectly tailored to dictate the Best Management Practices that would lead to significant reduction of phosphorus export from the Bay of Quinte watershed and to evaluate the uncertainty associated with the assessment of the Beneficial Use Impairment “Eutrophication and Undesirable Algae”. The proposed research will be a reference point of how rational modelling and empirical knowledge can be used to guide system restoration and spark collaboration with the industry for future green initiatives.

Voir la description complète du projet
Superviseur du corps professoral :

George Arhonditsis

Étudiant :

Partenaire :

AEML Associates Ltd;University of Toronto

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Elevate

Common Risk Factors in the Stablecoin Market

This project focuses on understanding what makes the prices of stablecoins (a type of cryptocurrency designed to stay stable) go up or down. Traditional financial models don’t fully explain how these digital assets behave, especially during market changes or when new regulations are introduced. By studying both general market trends and specific factors like liquidity, issuer trust, and new laws like the MiCA regulation in Europe, this research aims to create a better tool for evaluating stablecoin risks. The expected benefit to the participating institutions is the opportunity to strengthen international research collaboration, share advanced expertise in digital finance, and enhance their reputation as leaders in innovative financial research.

Voir la description complète du projet
Superviseur du corps professoral :

Hsuan Fu

Étudiant :

Partenaire :

Université de Rennes 1

Discipline :

Sociology

Secteur :

Education

Université :

Université Laval

Programme :

Globalink Research Award

A wireless headset for power-aware EEG/non-EEG signals processing and seizure warning – Year two

Epilepsy is a debilitating neurological disorder affecting approximately 50 million people worldwide (World Health Organization). This project proposes to develop a SMART (Seizure Monitoring At the Right Time) Headset for these patients to monitor their brain signal and track their movements, heart rates and breathing patterns. This headset will have new types of sensors suitable for long term usage and sleep. An intelligent micro-chip in the headset will track patient continuously and detect epilepsy syndromes, and warn patient and caregiver in advance (e.g., few seconds to minutes), which may prevent a patient’s life threatening accident. This SMART Headset will connect globally through patient’s mobile device and allow the clinicians monitor the patient remotely 24-hr/7-day with less clinical expense and government healthcare cost. This device will provide continuous personal assistance and may allow patients to work full-time and live independently, and reduce government burden in healthcare and boost economic growth.

Voir la description complète du projet
Superviseur du corps professoral :

Martin Campo

Étudiant :

Partenaire :

Avertus Inc

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Elevate

Stage en intelligence artificielle – Optimisation du jumelage talent-opportunité à l’aide de l’intelligence artificielle appliquée au recrutement

Le projet vise à structurer et exploiter la base de données de NexWav afin d’entraîner des modèles prédictifs avancés en intelligence artificielle. Cette initiative permettra de :
• Optimiser le jumelage entre candidats et opportunités : en identifiant les meilleures correspondances entre les profils des talents et les besoins des entreprises, réduisant ainsi le temps de recrutement et augmentant la satisfaction des parties prenantes.
• Anticiper les besoins du marché : en prédisant les tendances en matière d’emploi et les compétences recherchées, permettant à NexWav de conseiller proactivement ses clients et candidats.
• Renforcer la position concurrentielle de NexWav : en offrant des services différenciés basés sur l’IA, l’entreprise se positionne en tant que leader innovant dans le secteur du recrutement au Canada.
• Créer de nouvelles opportunités de carrière : en identifiant des parcours professionnels alternatifs pour les candidats, favorisant ainsi la mobilité et le développement des talents

Voir la description complète du projet
Superviseur du corps professoral :

Amine Mhedhbi

Étudiant :

Partenaire :

Solutions NexWav

Discipline :

Computer science

Secteur :

Administrative and support, waste management and remediation services; Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

Accelerate

Adaly.AI Generative AI & Data Science Proposal (OTU)

This project focuses on researching and developing an advanced coordination mechanism between our API layers and LLM infrastructure. The goal is to efficiently access and reason across both structured and unstructured data sources to improve customer’s decision-making processes. Success will be measured by the speed in which that data source can be identified, sourced, and integrated alongside the response quality that’s ultimately generated from the implementation.

Voir la description complète du projet
Superviseur du corps professoral :

Loutfouz Zaman;Annie En-Shiun Lee

Étudiant :

Partenaire :

Adaly AI Ltd.

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Ontario Institute of Technology

Programme :

Business Strategy Internship

Resonateur à ondes acoustiques de surface transversal (SH-SAW) sans réflecteurs pour la caractérisation biologiques

La technologie de biodétection est essentielle pour les diagnostics médicaux, la surveillance de l’environnement et la recherche biologique fondamentale. Alors que la résonance plasmonique de surface (SPR) offre une détection sans étiquette sensible aux changements d’indice de réfraction et que les capteurs à ondes acoustiques de surface (SAW) excellent dans les milieux liquides et sondent les propriétés mécaniques, tous deux se heurtent à des limites en termes de sensibilité ultime et de richesse d’information. L’acousto-plasmonique, qui combine l’acoustique et la nanophotonique, offre une voie transformatrice pour surmonter ces limitations. Ce projet vise à concevoir, fabriquer et valider de nouveaux biocapteurs acousto-plasmoniques intégrés en tirant parti du couplage élasto-optique entre les SAW et les plasmons de surface localisés (LSP) dans des architectures multicouches nanostructurées. En générant des SAW à haute fréquence (par exemple, des SAW horizontaux à cisaillement pour une performance optimale des liquides et un couplage électromécanique) qui modulent dynamiquement les propriétés optiques des nanostructures plasmoniques (via des changements d’indice de réfraction induits par la déformation), nous obtiendrons une sensibilité accrue et permettrons une détection multimodale, en corrélant les changements de signaux optiques et acoustiques lors de la liaison de biomolécules.

Voir la description complète du projet
Superviseur du corps professoral :

Frédéric Sarry

Étudiant :

Partenaire :

Université de Lorraine

Discipline :

Engineering

Secteur :

Education

Université :

Université de Sherbrooke

Programme :

Globalink Research Award

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