Innovative Projects Realized

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

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

ENDOMATRIX – Développement de matrices biomimétiques pour la culture 3D d’organoïdes et de tumoroïdes d’endomètre.

Le cancer de l’endomètre est l’un des plus fréquents affectant les organes reproducteurs féminins et touche plus de 420 000 femmes chaque année dans le monde.
Afin de mieux comprendre le développement et la progression du cancer de l’endomètre, la matrice extra-cellulaire (MEC) est de plus en plus étudiée. Composée de plus de 1000 protéines formant le matrisome, elle joue un rôle essentiel dans la régulation de l’équilibre normal des tissus. Lors de la tumorigenèse, la MEC est dérégulée et participe activement à la progression du cancer, notamment par la modification des forces physico-mécaniques du microenvironnement.
La MEC d’endomètre sain et la MEC des différents sous-types de tumeurs endométriales sont encore mal caractérisées. Pour pallier à cela, l’équipe de recherche a purifié la MEC de tissus sains et de tumeurs de l’endomètre. Le matrisome a été analysé par spectrométrie de masse, permettant d’obtenir des signatures protéiques des différents sous-types de cancers de l’endomètre.
Le présent projet vise donc à la création de matrices biomimétiques récapitulant les caractéristiques biochimiques et physiques de la MEC endométriale, afin de permettre la culture en 3D d’organoïdes dérivés de patientes dans des conditions proches de l’in vivo.

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Faculty Supervisor:

Nathalie Perreault

Student:

Partner:

Université Claude Bernard Lyon 1

Discipline:

Life Sciences

Sector:

Education

University:

Université de Sherbrooke

Program:

Globalink Research Award

Amélioration des prévisions des feux au Maroc avec l’utilisation de la télédétection et l’intelligence Artificielle

Ce projet vise à améliorer la prévision du risque d’incendies de forêt au Maroc en combinant la télédétection (données satellites) et l’intelligence artificielle. Il intégrera des données météorologiques (température, humidité, vent, précipitations) et des indicateurs de sécheresse et d’état de la végétation dérivés de satellites afin de produire des cartes de risque plus précises. Les résultats contribueront à mieux cibler la prévention, la surveillance et l’allocation des ressources pendant les périodes de feux de forêt au Maroc.

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Faculty Supervisor:

Alexandre Roy

Student:

Partner:

Sultan Moulay Slimane University

Discipline:

Earth science

Sector:

Forestry; Sustainability and the Environment

University:

Université du Québec à Trois-Rivières

Program:

Globalink Research Award

ESROP – Metallization Optimization in Tandem Solar Cells

This project focuses on identifying optimal patterns in a special type of solar cell, the tandem solar cell, in which different light-absorbing materials are stacked to increase efficiency. Specifically, the project aims to analyze an important, understudied aspect of these cells: their metallization patterns, which have a significant impact on cell performance. This project aims to identify optimal patterns in performance and cost using data-driven machine learning algorithms. If time allows, these patterns will be tested on a tandem solar cell. The proposed project benefits the participating institutions by fostering a global network of researchers and enabling shared development among independent organizations and universities.

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Faculty Supervisor:

Arthur Chan

Student:

Partner:

National University of Singapore

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

ESROP Intelligent Robotics Development and Implementation

The ESROP Global project with the Innovative Cognitive Computing (IC2) lab aims to implement and develop prior intelligent robotic systems with a focus on effective interactive systems and artificial intelligence integration for multimodal input data. This will be achieved through a combination of diverging as a team to develop extensions of current systems and data analysis of system effects and modelling. Such systems include the “I See Too” intelligent robot for climate awareness. Other focus projects may include frameworks for healthcare companionship and response, such as for Elderly communities, or integration of serious game systems. An associated aim is to conduct human data analysis for project evaluation and further model development, with ethical considerations as appropriate.

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Faculty Supervisor:

Arthur Chan

Student:

Partner:

King Mongkut’s University of Technology Thonburi

Discipline:

Engineering

Sector:

Artificial Intelligence; Technology; Social Innovation

University:

University of Toronto

Program:

Globalink Research Award

ESROP + A research-oriented project to study diffusion-based LLMs

This project studies a promising alternative to current autoregressive (AR) large language models: diffusion-based large language models. It aims to make them generate high-quality text more efficiently while maintaining speed and energy efficiency. The research will focus on understanding how these models work, identifying their root limitations, and developing improved methods that balance text quality, speed, and energy use. Through a combination of literature review, theoretical analysis, and experiments, the project will propose and evaluate new approach for faster and more reliable text generation. The participating institutions will benefit by advancing their expertise in AI models, strengthening international research collaboration, and producing research outcomes that can support future work in efficient and scalable language models.

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Faculty Supervisor:

Arthur Chan

Student:

Partner:

King Mongkut’s University of Technology Thonburi

Discipline:

Engineering

Sector:

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

University:

University of Toronto

Program:

Globalink Research Award

ESROP Developing a Hybrid Model for Water Table Evolution

The shear stress exerted by rivers on their banks is well known to drive erosion, over time sculpting the landscape through which they flow. These rivers are typically fed by groundwater flow from their surrounding catchments, and as this flow enters the river through the river bank it exerts a seepage force on the sediment, further enhancing the incipient erosion. This project will construct a new hybrid parameterisation of the evolution of the water table – using a parameterised form which recovers both groundwater and river flow – and the ground surface. The results of the model will be used to predict the transient evolution of a granular surface and the experimentally observed transition from the initial granular pile to an eroding river surface. Should time allow, initial 2D calculations will be extended to examine the stability (cross-slope) of the granular pile. Complementary experiments may be conducted in the GK Batchelor lab exploring different, wider, river widths and channels. The numerical solutions and (if they are made) experimental results will be used to understand the behaviour of river networks and dam collapse.

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Faculty Supervisor:

Arthur Chan

Student:

Partner:

University of Cambridge

Discipline:

Earth science

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Stage de FumierFuté_2026

L’OBV Yamaska a longtemps été une référence dans la région sur la qualité de l’eau. Cependant, dans les dernières années, une diminution des effectifs a réduit la portée de ses interventions dans la sphère agricole. L’agriculture constitue pourtant un pôle économique et culturel important dans la région et est responsable d’une partie des contaminants présents dans plusieurs des plans d’eau. Une bonne partie de ces contaminants provient de l’étendage tardif de fumiers sur des terres à nu. Ces épandages sont réalisés par nécessité pour éviter que les réservoirs à fumier ne débordent durant l’hiver, plusieurs éleveurs tentent de le vider complètement avant les premiers gels. Pour faire face à cette problématique, l’OBV a besoin d’une personne capable de saisir les enjeux locaux, tenir compte des contraintes opérationnelles des agriculteurs dans la gestion et l’épandage des fumiers, et d’analyser les méthodes de gestion disponibles à travers le monde, de manière à pouvoir de recommander celles qui sont applicables dans le contexte régional. En plus d’avoir analysé les enjeux, cette personne doit aussi avoir la capacité de communiquer avec les acteurs et de les rallier dans la recherche de solutions.

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Faculty Supervisor:

Sophie Calmé

Student:

Partner:

OBV Yamaska

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Business Strategy Internship

Les violences éducatives ordinaires: mieux comprendre pour mieux intervenir

Les violences éducatives ordinaires correspondent à des actes de violence de nature verbale, physique ou psychologique faites aux enfants dans une visée éducative afin de corriger un comportement ou de favoriser l’obéissance. En France, ces violences ont longtemps été minimisées ou ignorées et sont dites ordinaires. Depuis 2019, ces formes de violence ont été officiellement interdite au pays. Or, des débats entourant les modalités d’application et les conséquences de ces actes ont encore lieu. Néanmoins, diverses études ont montré que ces méthodes éducatives peuvent entraîner des conséquences néfastes chez les enfants, entre autres sur leur développement émotionnel, cognitif et comportemental. D’autres études ont également montré que les attitudes des parents envers ces méthodes représentaient un facteur de risque important à leur utilisation. La majorité de ces études ont eu recours à des données provenant des États-Unis et qui divergent des valeurs et des pratiques en vigueur en France. Ce projet vise ainsi à identifier les mécanismes associés au recours aux violences éducatives ordinaires chez les parents français et à proposer des programmes de prévention pour ces parents, tout en évaluant leur efficacité.

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Faculty Supervisor:

Karine Poitras

Student:

Partner:

Université de Bordeaux

Discipline:

Sociology

Sector:

Other

University:

Université du Québec à Trois-Rivières

Program:

Globalink Research Award

Metal-Chelating Coiled-Coil Peptide

This project focuses on the design, synthesis and characterization of coiled coil (CC) motifs as modular scaffolds for metal-mediated assembly and function. CCs are predictable a-helical assemblies in which oligomerization behavior can be tuned through sequence design, making them attractive scaffolds for incorporating metal-binding functionalities in a controlled manner. In this project, CC motifs will be engineered to bind metal ions either through amino acid side chains, or through the incorporation of chelating ligands at the peptide termini or within the peptide sequence using solid-phase peptide synthesis-compatible derivatives. Introducing a chelator into each peptide is expected to enable the formation of metal-bridged CC assemblies, in which metal coordination can serve both structural and functional roles. Owing to their modular design, these systems enable advances in artificial metalloenzymes, imaging and sensing technologies, and nanocatalysis. By systematically varying chelator placement, metal identity and peptide length, this project aims to establish structure-function relationships governing metal-mediated CC assembly. Overall, this work contributes to the understanding of self-assembling peptide systems and supports the development of protein-based materials with multiple binding sites, allowing for stronger and more selective interactions relevant to drug discovery and biotechnology.

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Faculty Supervisor:

Roland Roesler

Student:

Partner:

University of Applied Sciences and Arts Northwestern Switzerland

Discipline:

Life Sciences

Sector:

Biotechnology; Health and Related Sciences and Technology; Nanotechnology

University:

University of Calgary

Program:

Globalink Research Award

Business Operations and Marketing Internship – Tression 2026

Tression is a Canadian health-focused apparel company preparing to launch a new category of graduated compression garments designed to support everyday wellness. As the company transitions from product development to commercialization, it requires structured systems to support scalable growth across marketing, customer experience, and clinical partnerships.
This project will focus on designing and implementing a commercialization and operations framework to support Tression’s launch and early market expansion. The intern will work closely with the leadership team to strategize workflows, develop standardized processes, and evaluate early customer and partner engagement roadmap.
The outcomes of this project will help improve operational efficiency, strengthen market readiness, and support the company’s ability to scale in Canada and internationally. By enabling the growth of an innovative Canadian health apparel company, the project contributes to job creation, increased productivity, and expanded access to wellness-focused products that support active lifestyles.

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Faculty Supervisor:

Kenneth Owen

Student:

Partner:

Tression

Discipline:

Business

Sector:

Manufacturing

University:

McMaster University

Program:

Business Strategy Internship

Phenomenology and the Crisis of Subjectivity in the Age of Artificial Intelligence

This project examines how artificial intelligence is changing the way people experience the world, understand themselves, and relate to others. Drawing on the phenomenological tradition in philosophy, the research explores how technology shapes perception, embodiment, and meaning in everyday life. By connecting historical insights from European philosophy with contemporary debates in philosophy of science and technology, mental health, and cognition, the project will help clarify what is at stake for human subjectivity in a rapidly digital world. The collaboration will strengthen international research ties, contribute to interdisciplinary dialogue between philosophy and the sciences, and enhance the host institution’s role as a center for research on subjectivity and human experience.

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Faculty Supervisor:

Allen Habib

Student:

Partner:

University of Geneva

Discipline:

Sociology

Sector:

Education

University:

University of Calgary

Program:

Globalink Research Award

L2M – Autonomous additive manufacturing system (AAMS)

This project aims to evaluate the industrial need and market readiness for an Autonomous additive manufacturing system (AAMS) designed to improve the quality, consistency, and efficiency of metal additive manufacturing. By engaging directly with industry partners across key sectors, the project will identify where production variability, defects, and reliance on highly skilled operators create the greatest operational and economic challenges. The outcomes will guide the development of practical use cases, target the most relevant early adopters, and support a clear path to commercialization. The partner organization will benefit from early insight into emerging autonomous manufacturing technologies, reduced risk in future adoption decisions, and access to data-driven recommendations that can improve process reliability, lower costs, and support scalable metal AM deployment.

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Faculty Supervisor:

Yu Zou

Student:

Partner:

Innovation Factory

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Business Strategy Internship

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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.