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
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
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Projets par catégorie

Intelligence Artificielle multimodale pour la classification précise, le sexage et l’évaluation de l’hybridation des poissons afin de retracer leur lignée parentale, soutenir leur préservation et contribuer à la taxonomie moderne

Le projet de recherche proposé vise à développer un système basé sur l’Intelligence Artificielle multimodale pour analyser à la fois les images morphologiques et les données génétiques de poissons appartenant aux espèces Diaphanus et Heteroclitus. L’objectif est de permettre l’identification automatique des espèces, de déterminer le sexe des individus et d’évaluer le degré d’hybridation afin de retracer leur lignée parentale. Ce système permettra une classification plus précise des poissons, y compris ceux difficiles à distinguer visuellement, et contribuera à mieux comprendre leurs relations évolutives. Les avantages attendus sont multiples : améliorer la surveillance et la préservation des populations de poissons, soutenir la conservation de la biodiversité aquatique, fournir des outils scientifiques pour la taxonomie moderne, et proposer une approche technologique innovante combinant vision par ordinateur, intelligence artificielle et bioinformatique.

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Superviseur du corps professoral :

Eric Hervet;Anne-Marie Dion-Côté

Étudiant :

Partenaire :

École Nationale Supérieure d'Ingénieurs de Tunis

Discipline :

Computer science

Secteur :

Artificial Intelligence; Biotechnology; Natural Resources

Université :

Université de Moncton

Programme :

Globalink Research Award

L2M – MSK Tissue Preservation Portable System – Regenerative Medicine

Elev8 is working with L2M to help launch there MSK therapeutic device for tissue regeneration and longevity in the sport, military, and aging tech space.

Voir la description complète du projet
Superviseur du corps professoral :

Judi Laprade;John Tran

Étudiant :

Partenaire :

DMZ Ventures Inc

Discipline :

Physics

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Business Strategy Internship

Enabling Computer Supported Collaborative Learning (CSCL) Assistant to Access ChatbotLLM Service for Engaging in the Group Discussion with Students

A web system, Computer Supported Collaborative Learning (CSCL) Assistant that supports teachers to have their students grouped and work on tasks together via discussion, is currently used by a university. At this moment, CSCL Assistant uses chatbot to participate into a group discussion with the help of ChatGPT and Google Gemini. ChatbotLLM (https://chatbot.vipresearch.ca), is IEEE Northern Canada Section’s Capstone Project Award winner project, is a system to automatically train chatbots on the materials uploaded by users. ChatbotLLM is not only capable of learning from material in traditional formats like PDF, PPT(X), DOC(X), and TXT, but also can reading XLS(X), image-scanned based PDF, images in PDF, DOC(X), and PPTX, and even MP3 with the help of Google’s Speech Recognition library. Different from other Generative AI tools or systems, ChatbotLLM would tell users “NO, I don’t know” if it cannot find any relevant content for user’s question from the given materials uploaded. This project aims to design and develop communication way between the two systems, CSCL Assistant and ChatbotLLM, so the chatbot in CSCL Assistant can access ChatbotLLM Service to provide high quality and authentic content in the group discussion.

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Superviseur du corps professoral :

Maiga Chang

Étudiant :

Partenaire :

National Dong Hwa University

Discipline :

Computer science

Secteur :

Education; Information and Communications Technology (ICT)

Université :

Athabasca University

Programme :

Globalink Research Award

L2M- TATOM

We will validate TATOM (Tumor-on-a-chip assembly to observe metastasis), a miniature human-on-a-chip platform mimicking cancer metastasis for drug testing. Through customer discovery and market analysis by initially interviewing critical parties in the sector. Through these interviews, we will assess commercial viability, identify user needs, and finally refine the business model to accelerate translation to clinic and market.

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Superviseur du corps professoral :

Poul Sorensen

Étudiant :

Partenaire :

I-INC

Discipline :

Life Sciences

Secteur :

Health and Related Sciences and Technology; Pharmaceuticals; Biotechnology

Université :

The University of British Columbia

Programme :

Business Strategy Internship

Mapping Safety Motivation at Work: Untangling the network of causes and consequences

A workplace injury can harm livelihoods and the mental health of employees, yet despite decades of safety interventions, work injuries remain a critical issue in Canada. This raises a critical question: What motivates people to be safe at work? Safety motivation—an individual’s willingness to engage in safe behaviors—is a key predictor of safety performance, making it a vital pathway for improving workplace safety. Yet, safety motivation is poorly understood and measured in diverse ways that reflect different theoretical perspectives (e.g, one-dimensional vs multi-dimensional view). This fragmented understanding limits insight into how different conceptualizations lead to different outcomes and are influenced by varying factors, creating a tangled network of findings. Thus, the proposed research aims to systematically map the conceptual landscape of safety motivation at work across theoretical frameworks using meta-analytic techniques to synthesize findings across multiple studies. Theoretically, this research will advance our understanding of safety motivation by applying a multi-dimensional lens to explain why individuals engage in safety behaviors. Practically, it offers actionable insights for designing work that fosters specific safety motives and guides the development of targeted training and communication strategies.

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Superviseur du corps professoral :

Ellen Choi

Étudiant :

Partenaire :

University of Sydney

Discipline :

Sociology

Secteur :

Education

Université :

Toronto Metropolitan University

Programme :

Globalink Research Award

L2M-Feasibility Assessment and Commercialization Strategy for a Mobile Hydrogen Production Unit Powered by Renewable Energy

This project explores how to make clean hydrogen production more accessible and affordable by designing a Mobile Hydrogen Production Unit (MHPU) that runs on renewable energy such as solar or wind. The unit will be small, portable, and capable of generating hydrogen on-site for use in remote, off-grid, or temporary locations that currently depend on diesel fuel. Over four months, the project will assess the technical design, market needs, and commercial opportunities for deploying such systems in Canada and beyond. The expected benefit is to create a clear roadmap for developing a practical, scalable hydrogen solution that supports Canada’s clean energy transition. The project will help identify the most promising use cases, potential partners, and commercialization strategies, contributing to lower emissions, energy resilience, and new opportunities for sustainable industry growth.

Voir la description complète du projet
Superviseur du corps professoral :

Erik Kjeang

Étudiant :

Partenaire :

I-INC

Discipline :

Engineering

Secteur :

Clean Technology; Green/Alternative Energy

Université :

Simon Fraser University

Programme :

Business Strategy Internship

It’s Not the System, It’s the Human: Leveraging Civilian Capability in Cyber Operations

The project will examine how Estonia incorporates civilian experts and volunteers into its national cyber defence, and what ethical, legal, and governance challenges arise from this growing role. By reviewing existing research, mapping Estonia’s cyber-volunteer ecosystem, and speaking with experts, the project will identify how democracies can safely and responsibly work with civilian cyber operators. This collaboration benefits both institutions: TalTech gains a partner with expertise in ethics, human rights, and governance, while the Université de Montréal gains access to Estonia’s unique digital society environment and leading cybersecurity networks. The project strengthens long-term research ties and supports the development of new comparative knowledge that is valuable to both countries.

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Superviseur du corps professoral :

Bryn Williams-Jones

Étudiant :

Partenaire :

Tallinn University of Technology

Discipline :

Sociology

Secteur :

Cyber Security; Information and Communications Technology (ICT); Technology

Université :

Université de Montréal

Programme :

Globalink Research Award

Empirical evaluation of theorized drivers shaping ecosystem stability and functioning

Ecosystems provide services such as fisheries, pollination, and carbon storage that support people and economies around the world. The stability and functioning of ecosystems is shaped by several key factors, such as biodiversity, species interactions, response diversity and environmental conditions, as identified through ecological theory. However, few studies have tested these ideas in real-world ecosystems, and even less have compared the relative importance of these different factors. In this project, I will analyze data of fish communities from coastal marine ecosystems in Japan to examine which of these drivers are most important in driving ecosystem stability and functioning over time. The findings will contribute to global efforts to better understand and manage ecosystems in a changing world.

Voir la description complète du projet
Superviseur du corps professoral :

Martin Krkosek

Étudiant :

Partenaire :

The University of Tokyo

Discipline :

Life Sciences

Secteur :

Education

Université :

University of Toronto

Programme :

Globalink Research Award

Harvesting hot carriers in heterojunctions of p-type semiconductors and plasmonic nanoparticles for green hydrogen production and utilization

This project aims to pursue alternate methods to generate green hydrogen that are less energy-intensive than existing approaches. Leveraging the fact that semiconductors generate electron-hole pairs when illuminated with light and this electron reduces proton (H+) from water to form hydrogen (H2), our goal is to use novel p-type semiconductors to produce green hydrogen, that leaves behind no waste. Adopting semiconductor physics behind this, heterojunctions of p-type semiconductors and transition metal nitrides (TMNs) will be formed that help in charge transfer and enhanced light absorption. TMNs possess plasmonic properties, similar to coinage metals (gold, silver, copper), that says they can absorb visible light when irradiated. TMNs are a special class of plasmons that are inexpensive, have high conductivity and stability and have elongated photogenerated-carrier lifetimes than noble/coinage metal plasmons such as gold and silver. Therefore, the project aligns with the Hydrogen Strategy of Canada and National Hydrogen Strategy, Singapore that aim to achieve net-zero carbon emission by 2050. It also supports the carbon capture program by using the atmospheric CO2 with green hydrogen to generate methane- a widely used fuel. The project also gives an opportunity to both countries and institutions to enhance mutual cooperation in research and community development.

Voir la description complète du projet
Superviseur du corps professoral :

Karthik Shankar

Étudiant :

Partenaire :

Nanyang Technological University

Discipline :

Engineering

Secteur :

Education

Université :

University of Alberta

Programme :

Globalink Research Award

L2M – InsurEasy: A Multilingual AI Agent for Transparent, Commission-Free Coverage in Canada

InsurEasy is a multilingual AI insurance agent that provides Canadians with transparent, commission-free coverage recommendations, making insurance more affordable and easier to understand for everyone.

Voir la description complète du projet
Superviseur du corps professoral :

Kevin O'Neil

Étudiant :

Partenaire :

I-INC

Discipline :

Computer science

Secteur :

Artificial Intelligence; Information and Communications Technology (ICT); Finance and Insurance

Université :

Thompson Rivers University

Programme :

Business Strategy Internship

L2M – Commercialization Strategy and Indication Prioritization for Oncolinc Therapeutics

This project will help Oncolinc Therapeutics, a cancer therapeutics company, build a clear strategy for bringing a new type of cancer treatment to market. Oncolinc Therapeutics is developing therapies that target long non-coding RNAs (lncRNAs), which are molecules that help some tumours hide from the immune system and resist current immunotherapies. Oncolinc needs guidance on where to start, which cancer types to focus on first, who the key decision-makers are, and how and when to partner with larger drug companies. Over four months, the project will evaluate different cancer indications, such as liver cancer and ER-positive breast cancer, to determine which offers the best opportunity for early success. It will also map out the perspectives and needs of clinicians, researchers, and pharmaceutical partners to understand how a new lncRNA-targeting therapy could be adopted in the real world. Finally, the project will outline a partnership and business model strategy to help Oncolinc plan for investment, collaboration, and long-term growth. This work will give Oncolinc a practical roadmap to guide its next steps, reduce risk, strengthen its commercial readiness, and support its goal of delivering new treatment options for patients who do not respond to current immunotherapies.

Voir la description complète du projet
Superviseur du corps professoral :

Paola Marcato

Étudiant :

Partenaire :

DMZ Ventures Inc

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Dalhousie University

Programme :

Business Strategy Internship

L2M – Market Entry and Human Factors Strategy for an Edge AI-Based Care Platform

This project focuses on launching and evaluating the NewGen Smart-Cup platform in clinical settings. NewGen Smart-Cup enables rapid, digital urine testing to support early detection of conditions such as preeclampsia and gestational diabetes. Building on prior validation work, this phase will study how healthcare teams adopt and integrate the technology into existing prenatal care routines. Through close collaboration with obstetricians, nurses, and clinic staff, the project will examine usability, workflow fit, and patient engagement to ensure the solution enhances, rather than disrupts care delivery. Insights from these real-world pilot implementations will guide large-scale deployment, training design, and commercialization strategy.

Voir la description complète du projet
Superviseur du corps professoral :

Catherine Burns

Étudiant :

Partenaire :

DMZ Ventures Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Business Strategy Internship

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