Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

31132 Completed Projects

2940
AB
5159
BC
837
MB
685
NL
882
SK
9291
ON
9695
QC
97
PE
601
NB
1161
NS

Projects by Category

L2M- Biorenewable and Biodegradable Cellulose-based Gloves

This project focuses on validating the market potential of a new kind of sustainable, fully biodegradable glove made from renewable cellulose—designed to replace the billions of plastic-based disposable gloves used each year in Canada. Over four months, we will manually produce prototype gloves, share them with healthcare, laboratory, and food-service users, and collect real-world feedback on comfort, performance, and willingness to adopt more environmentally friendly options. By engaging directly with potential customers, we aim to better understand product requirements, pricing expectations, and early adoption opportunities, while building commercial readiness for future Canadian manufacturing. Throughout the project, I will receive mentorship from my academic supervisor in both technical decision-making and business development, helping me learn how innovative materials move from research to real-world impact. Ultimately, this work supports Canada’s sustainability goals and helps establish a pathway toward cleaner, greener protective products that reduce waste without compromising safety.

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Faculty Supervisor:

Theo van de Ven

Student:

Partner:

I-INC

Discipline:

Engineering

Sector:

Advanced Manufacturing; Biotechnology; Forestry

University:

McGill University

Program:

Business Strategy Internship

Revêtements décontaminents pour le traitement de l’eau dans l’habitat extra-terrestre et le voyage spatial

Dans le cadre du retour sur la lune (et à fortiori des projets de mission humaines sur mars), la gestion de l’eau est un enjeu majeur. En effet, dans les systèmes fermés comme la station spatiale ou les habitats lunaires, l’objectif est d’être capable de recycler plus de 98% des eaux usées. A l’heure actuelle les technologies de traitement de l’eau permettent un recyclage à environ 85% de cette ressource . La photo-dégradation à l’aide d’oxydes métalliques semble être une piste intéressante à explorer pour augmenter la recyclabilité de cette ressource.
Dans ce projet de recherche en cotutelle entre l’UdeM et l’Université de Toulouse en collaboration avec le CNES, on se propose d’explorer la photo-dégradation de polluants par des couches minces nano-composites impliquant des nanoparticules de ZnO. Ces couches seront produites en capitalisant sur une technologie dite du réacteur injecteur direct de liquide (Direct-Liquid reactor injector, DLRI). Le réacteur-injecteur combine une solution liquide de précurseur avec un gaz dans une chambre de mélange avant injection sous forme d’aérosol. La synthèse de nanoparticules (NP) est alors possible via un procédé respectueux des humains et de l’environnement, « safer-by-design », qui rend possible la manipulation de NP sans risque de contact pour l’utilisateur.

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Faculty Supervisor:

Luc Stafford

Student:

Partner:

Université de Toulouse

Discipline:

Physics

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

L2M – RevolutAI: Secure and Trustworthy Artificial Intelligence for Regulated Industries

RevoluAI est une initiative issue de la recherche universitaire visant à rendre l’intelligence artificielle réellement confidentielle et conforme aux exigences de protection des données. Le projet repose sur RevoLUT, un moteur cryptographique open source qui permet d’effectuer des calculs sur des données chiffrées avec une efficacité inégalée. Grâce à cette technologie, RevoluAI conçoit des solutions de machine learning et d’analytique sécurisée permettant aux organisations de collaborer, partager et exploiter leurs données sensibles sans jamais les divulguer.

Les premières preuves de concept incluent l’apprentissage et le désapprentissage sans divulgation, qui démontrent la possibilité de former et de corriger des modèles sans exposer les données d’origine. RevoluAI s’adresse d’abord aux secteurs financier, hospitalier et public, où les contraintes de confidentialité et de conformité (CPPA, RGPD, HIPAA) limitent fortement l’usage du cloud et de l’IA.

En combinant expertise scientifique, performance cryptographique et approche stratégique, RevoluAI vise à devenir un acteur clé de l’IA responsable au Canada, en offrant des services sur mesure et des solutions évolutives pour une économie des données plus sûre, plus éthique et plus collaborative.

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Faculty Supervisor:

Marc-Olivier Killijian

Student:

Partner:

V1 Studio

Discipline:

Computer science

Sector:

Education

University:

Université du Québec à Montréal

Program:

Business Strategy Internship

L2M Validate / Qc Winter 2026 / plugs.run

Ce projet vise à simplifier la création d’applications sur plusieurs plateformes (web, mobile et bureau) grâce à une nouvelle approche basée sur des composants logiciels réutilisables. Plutôt que de recréer les mêmes fonctionnalités pour chaque système, les développeurs pourront assembler des blocs prêts à l’emploi, ce qui réduit le temps, le coût et la complexité du développement. Cette technologie sera particulièrement utile dans des domaines nécessitant des fonctionnalités avancées, comme la visualisation 3D ou des interfaces interactives. Grâce au programme, nous rencontrerons des organisations et des spécialistes du secteur afin de mieux comprendre leurs besoins et d’adapter la solution à des cas d’usage réels. Le projet permettra également de renforcer la valorisation de ses travaux de recherche et d’orienter le développement futur vers une solution commercialement viable.

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Faculty Supervisor:

Nadjia Kara

Student:

Partner:

V1 Studio

Discipline:

Computer science

Sector:

Education

University:

École de technologie supérieure

Program:

Business Strategy Internship

Identifying phenotypes of prematurity-associated lung disease in Nova Scotia and Western Australia

Globally approximately 13.4 million babies are born too early or preterm each year. Many people born preterm, have lung disease causing breathing difficulties, that progresses throughout their lives. This prematurity-associated lung disease is complex and can look very different from person to person, making it harder to diagnose and treat. Some individuals show characteristics that are similar to other lung diseases such as Asthma and chronic obstructive pulmonary disease (COPD). There is currently no evidence-based clinical guidelines on how to treat people born preterm with prematurity-associated lung disease. Categorizing the different characteristics of lung disease among individuals in this population would be a step towards better understanding this disease and applying targeted treatments.
We aim to develop different lung disease profiles (or phenotypes) in populations born preterm in both Western Australia and Nova Scotia, so that we can determine what characteristics to target to treatments in these individuals. This project will use specialized statistical methods, to group together different individuals based on similar respiratory characteristics. Figuring out specific profiles of prematurity-associated lung disease will help to identify lung disease earlier and target treatments to the individual’s unique needs to improve their lung health sooner and more effectively.

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Faculty Supervisor:

Sanja Stanojevic

Student:

Partner:

Curtin University

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

Dalhousie University

Program:

Globalink Research Award

L2M Validate / Qc Winter 2026 / AI CoPilot for Descriptive Embryo quality Grading

This project aims to develop an AI-assisted decision-support system for embryo quality assessment in in-vitro fertilization (IVF) laboratories. Current evaluation methods, such as the Gardner grading system, rely on subjective visual assessment, leading to high inter- and intra-observer variability that affects clinical decisions and training consistency.

The proposed system will combine computer vision and natural language processing (NLP) to automatically analyze embryo images, suggest standardized Gardner-style grades, and generate clear morphological descriptions in clinical terminology. Unlike existing “black box” AI tools, this co-pilot emphasizes interpretability and transparency, showing which visual features influence its assessments.

Developed as a human-in-the-loop tool, the system supports embryologists rather than replacing them, improving consistency, documentation, and training across IVF labs. The project also aligns with Canada’s priorities in AI-driven healthcare innovation, bridging the gap between academic research and commercial application in reproductive medicine.

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Faculty Supervisor:

Abdoulaye Baniré Diallo

Student:

Partner:

V1 Studio

Discipline:

Computer science

Sector:

Education

University:

Université du Québec à Montréal

Program:

Business Strategy Internship

L2M Validate / Qc Winter 2026 / CytoReGen

Le projet CytoReGen vise à transformer le CO2, un gaz à effet de serre problématique, en méthane renouvelable utilisable comme source d’énergie propre. Pour ce faire, l’équipe se charge de développer un bioréacteur innovant qui utilise des enzymes spéciales pour fixer et convertir le CO2 industriel en méthane, créant ainsi une solution doublement bénéfique : réduire les émissions polluantes tout en produisant du gaz naturel vert. Le stagiaire réalisera une étude approfondie du marché canadien pour identifier les industries intéressées par cette technologie (producteurs de biogaz, usines émettrices de CO2, secteur des déchets), évaluer le potentiel commercial du procédé, et préparer une stratégie de commercialisation incluant la protection intellectuelle du bioréacteur par brevet. Pour l’organisme partenaire, ce projet permettra de valider la viabilité commerciale d’une technologie prometteuse, d’établir des contacts avec de futurs clients et partenaires industriels, de structurer un modèle d’affaires solide pour la création d’une startup en biotechnologie verte, et de positionner l’organisation comme leader dans l’innovation en capture et valorisation du carbone au Québec et au Canada.

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Faculty Supervisor:

Daniela Quaglia

Student:

Partner:

V1 Studio

Discipline:

Life Sciences

Sector:

Education

University:

Université du Québec à Montréal

Program:

Business Strategy Internship

L2M Validate / Qc Winter 2026 / CyberSoc_AI

Le projet CyberSoc_AI vise à rendre la cybersécurité des organisations plus intelligente et plus efficace grâce à l’intelligence artificielle explicable. Aujourd’hui, les centres de surveillance informatique (SOC) reçoivent chaque jour des milliers d’alertes, dont une grande partie sont des faux positifs. Cette surcharge ralentit les équipes et augmente les risques d’incidents non détectés. Le stagiaire analysera le marché canadien de la cybersécurité afin de comprendre les besoins réels des entreprises et organismes publics, puis validera la pertinence d’une solution d’IA capable de filtrer, regrouper et expliquer ces alertes de manière claire et transparente. Ce projet contribuera à réduire les coûts liés aux incidents, à renforcer la protection des données sensibles et à accroître la confiance numérique dans les secteurs critiques du Canada, tout en soutenant l’innovation locale et la formation de talents hautement qualifiés.

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Faculty Supervisor:

Bechir Ktari

Student:

Partner:

V1 Studio

Discipline:

Computer science

Sector:

Education

University:

Université Laval

Program:

Business Strategy Internship

L2M Validate / Qc Winter 2026 / Optimizing Recycling of Polyamide 6- Upcycling with Polymer-polymer composite,

Polyamide (PA), particularly PA6 and PA66, is a vital engineering polymer used in automotive, aerospace, electrical, and textile industries because of its strength, heat resistance, and durability. However, most commercial grades are petroleum-based, energy-intensive, and difficult to recycle due to strong hydrogen bonding and high melting temperatures. In Canada, the recycling and upcycling of polyamide remain extremely limited: post-industrial and post-consumer waste is often downcycled or exported, leading to the loss of valuable materials and a higher environmental footprint.

The Canadian PA6 market reached USD 473.9 million in 2023 and is projected to grow to USD 745.9 million by 2030 (CAGR 6.7 %). Yet the recycled segment remains small, though it could expand by ~9 % annually between 2026–2033. In Québec, several SMEs process PA6 and PA66 components for transportation and aerospace sectors, generating up to 10 % post-industrial scrap that is rarely recovered. Despite having 25 plastic recyclers listed by RECYC-Québec, none currently process polyamides—raising the question of what happens to this valuable waste stream. Successful polyamide recyclers abroad prove that the opportunity is both technically and economically viable.

This project aims to address this gap through a twofold innovation. First, it will develop reactive additives to restore molecular weight, melt strength, and mechanical integrity during PA6/PA66 recycling, enabling recycled grades that rival virgin resins. Second, it will create a lightweight polyamide-based composite to replace PA–glass-fiber systems in automotive and aerospace applications, offering comparable strength, higher impact resistance, and lower density for improved fuel efficiency.

Fully recyclable and aligned with circular-economy goals, this initiative will transform Québec’s untapped polyamide waste into high-value, sustainable materials, strengthening Canada’s polymer innovation ecosystem and creating new industrial and investment opportunities in advanced manufacturing.

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Faculty Supervisor:

Martin Grenon

Student:

Partner:

V1 Studio

Discipline:

Engineering

Sector:

Education

University:

Université Laval

Program:

Business Strategy Internship

Bacterial genome integrity under growth-limiting conditions

Many bacteria live in environments where food and energy are scare. When this happens, they may start copying their DNA and then run out of resources mid-way, puuting their genetic material at risk of damage. This project will study how Escherichia coli protects its DNA under sudden nutrient starvation. We will track whether cells finish copying their DNA or stall , and we will identify the proteins that help stabilize and repair the copying machinery during stress. To do this, we will use safe lab strains with flow cytometry and live-cell fluorescence imaging , as well as a pull-down method (iPOND) to capture proteins located at sites of newly made DNA. The results will improve our basic understanding of microbial survival, inform future biotechnology, and support training in advanced experimental methods.

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Faculty Supervisor:

Rodrigo Reyes Lamothe

Student:

Partner:

University of Namur

Discipline:

Life Sciences

Sector:

Biotechnology; Life Sciences (not health)

University:

McGill University

Program:

Globalink Research Award

Biological evaluation of a novel 1,4-diazine scaffold as potential neuraminidase inhibitors for anticancer and antimicrobial strategies

Development of novel pharmaceutical agents typically starts from an initial “hit” compound. These initial hits are then optimized using chemical synthesis and then tested for activity. Many active agents are designed based on known starting compounds. These previously identified compounds serve as a starting scaffold on which to make modifications that will improve activity. In this proposal, we plan to investigate novel scaffolds that would allow targeting of a class of enzymes, known as neuraminidases, that are found in humans, bacteria, and viruses. Neuraminidase enzymes cleave terminal sugar residues from glycoproteins in cells and play roles in normal human physiology and disease. The viral neuraminidases are the enzymes targeted by oseltamivir (Tamiflu), which are used as antivirals. Current scaffolds used to target neuraminidase enzymes are synthetically challenging and novel scaffolds could help identify new classes of inhibitors. As part of this proposal, an intern will work in a Canadian laboratory to test a series of compounds they synthesized using a novel scaffold designed to target neuraminidases. In Canada, the intern will learn biochemical assays to validate their compounds against human and bacterial neuraminidase enzymes. Compounds will also be characterized for properties that could indicate their potential for use as pharmaceuticals.

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Faculty Supervisor:

Christopher Cairo

Student:

Partner:

Université de Reims Champagne Ardenne

Discipline:

Physics

Sector:

Pharmaceuticals

University:

University of Alberta

Program:

Globalink Research Award

Research, identify, develop and test innovative use cases community and societal issues to support advancing smart cities capabilities

SimplyCast is an ISO 27001:2013-certified, all-in-one hyperautomation platform that operates on a no-code basis. The management has created a distinctive Platform-as-a-Service (PaaS) solution that integrates communication, marketing, engagement, and emergency communication functionalities into a unified platform. This exceptional platform offers unparalleled capabilities for both present and future use cases. One of the major advantages for clients is SimplyCast’s ability to seamlessly incorporate new use cases into the platform without disrupting existing processes. This aspect is a crucial value proposition of the SimplyCast platform, enabling businesses to secure growth capital and effectively scale as new use cases emerge in the market.??

The company’s main goal is to develop use cases that can be deployed by cities, villages, provinces, and Canada-wide that can improve citizen’s lives in every aspect. Municipalities across North America are facing increasing pressure to manage aging infrastructure, optimize limited budgets, and respond quickly to citizen needs. Current systems for asset management, permitting, inspections, incident reporting, and crew scheduling are often fragmented, highly manual, or reliant on expensive legacy solutions. These gaps result in inefficiencies, slower response times, and higher operational costs, and this is where SimplyCast can help. The project will assist SimplyCast in designing a solution that enables municipalities to efficiently manage work orders, inspections, incidents, and permits and that will Integrate IoT sensor data and predictive analytics for proactive maintenance, providing mobile-ready, user-friendly tools for crews and citizens. SimplyCast is aware that what they will build will be competing with established platforms such as Citadel, LLumin, and Cityworks, but can offer a more flexible, cost-effective, and citizen-focused alternative.

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Faculty Supervisor:

Daniel Penny

Student:

Partner:

SimplyCast

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Nova Scotia Community College

Program:

Business Strategy Internship