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

Applying Machine Learning Methods to Sustainable Mining

This project aims to support the development of low-carbon materials for mining applications by using data-driven methods to better understand and predict material durability. The research focuses on analyzing existing experimental data to estimate carbonation depth in alternative concrete made from mine tailings, which can reduce the use of traditional cement and lower greenhouse gas emissions. By combining engineering knowledge with machine learning tools, the project will help improve confidence in the use of sustainable construction materials in the mining sector. The internship will strengthen research collaboration between Université Laval and an international partner institution, while providing valuable training opportunities for a highly motivated undergraduate student in applied data analysis and sustainable engineering.

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Faculty Supervisor:

Chengkai Fan

Student:

Partner:

Universidade Tecnológica Federal do Paraná

Discipline:

Engineering

Sector:

Education

University:

Université Laval

Program:

Globalink Research Award

Stage de recherche de 4 mois – Département des Sciences Biologiques — Biais mâles-femelles des souris scd1 knock-out au foie en réponse à un régime riche en graisses et en sucre

Ce projet de recherche utilise un modèle de souris pour mieux comprendre comment le foie gère les lipides et pourquoi les femmes et les hommes réagissent différemment face à l’accumulation de gras et aux maladies métaboliques. En modifiant une enzyme clé impliquée dans la fabrication des lipides au niveau du foie et en exposant les animaux à différents types d’alimentation, l’étude permet d’observer comment le métabolisme change, comment les lipides sont stockés ou transportés dans le corps et comment ces réponses varient selon le sexe. Les analyses portent notamment sur l’accumulation de gras dans le foie, la composition des lipides dans le sang et l’utilisation de l’énergie par l’organisme. L’objectif est de mieux comprendre les mécanismes biologiques responsables des différences entre les femmes et les hommes afin de contribuer, à long terme, au développement de stratégies de prévention et de traitements mieux adaptés aux réalités de chacun.

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Faculty Supervisor:

Catherine Mounier;Tania Guillemette

Student:

Partner:

École Supérieure de Physique et de Chimie Industrielles de la Ville de Paris

Discipline:

Life Sciences

Sector:

Education

University:

Université du Québec à Montréal

Program:

Globalink Research Award

Coherent Elastic Neutrino-Nucleus Scattering Measurement with the Ricochet Experiment

This Mitacs Globalink Project will place a University of Toronto undergraduate physics student at the experimental site of a high-flux reactor-based neutrino experiment called RICOCHET in Grenoble, France. The intern will be hosted at Université Grenoble Alpes and will work closely with the local research team to support experiment operations and to develop a quantitative estimate of the experiment’s sensitivity. This work is crucial to the experiment’s success, as it helps guide how data are collected and interpreted on the path toward RICOCHET’s physics results. It will also build local expertise at the University of Toronto in reactor-site experimental practice and advanced data analysis, which the intern will bring back through continued research contributions and knowledge sharing.

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Faculty Supervisor:

Ziqing Hong

Student:

Partner:

Université Grenoble Alpes

Discipline:

Physics

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

ESROP Physics-Informed Neural Network Engine for Perovskite Solar Cells

Perovskite solar cells are a promising new solar technology that could enable cheaper and more efficient renewable energy. However, their performance can vary widely because even small changes during manufacturing can strongly affect how well the devices work. This project uses advanced artificial intelligence techniques, combined with known physical principles, to analyze a large collection of solar cell performance data. By identifying patterns in how different devices behave and tailoring models to these patterns, the project aims to create a more reliable way to predict and understand perovskite solar cell performance. Ultimately, this work will help support the development of more consistent, scalable, and commercially viable solar energy technologies.

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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 + Implementation of mini PV module measurement system for outdoor testbeds

This research project aims to create a vertical outdoor testbed for small-scale building integrated photovoltaics (BIPV) modules to enable high-resolution performance monitoring.

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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 – Osaka Summer 2026

This summer project supports a research exchange between Engineering Science programs at Osaka University and the University of Toronto by creating a shared foundation for future biomedical engineering collaboration. At a high level, the project focuses on how modern engineering can better connect advanced measurement technologies with real medical needs—turning complex biomedical signals into knowledge that is easier to interpret, compare, and build on. The host institution benefits by engaging a student trained in the rigorous, systems-level approach of UofT Engineering Science, bringing experience in structured problem solving, quantitative reasoning, and interdisciplinary biomedical engineering. The home institution benefits by gaining exposure to Osaka University’s strengths in medical physics and photonics-based approaches to health research, as well as the research culture and methods used in a leading international engineering environment. Overall, the exchange strengthens long-term collaboration by combining complementary expertise—Osaka’s depth in photonics/medical physics and UofT’s strength in biomedical systems engineering and engineering design—helping both institutions develop highly qualified researchers who can work across disciplines and across countries.

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Faculty Supervisor:

Arthur Chan

Student:

Partner:

Osaka University

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Intelligence artificielle générative en éducation : transfert de connaissances et collaboration académique entre le Canada et les Philippines

Ce projet de recherche vise à mieux comprendre comment l’intelligence artificielle générative peut être utilisée en éducation de manière réfléchie, responsable et adaptée à différents contextes culturels. Le stagiaire collaborera avec des chercheur·es et des formateur·rices universitaires aux Philippines afin de partager des cadres développés au Canada et d’échanger sur leurs usages possibles en enseignement et en formation des enseignants. Le projet repose sur des séminaires, des ateliers et des discussions académiques, sans intervention directe auprès d’élèves. Les retombées attendues incluent le renforcement des collaborations internationales, le transfert de connaissances entre le Canada et l’Asie du Sud-Est, ainsi que le développement de nouvelles perspectives pour soutenir l’innovation pédagogique et la réflexion sur l’usage de l’intelligence artificielle en éducation.

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Faculty Supervisor:

Michel Plaisent

Student:

Partner:

Cebu Normal University (CNU)

Discipline:

Computer science

Sector:

Education; Artificial Intelligence

University:

Université du Québec à Montréal

Program:

Globalink Research Award

Clinical Pilot Evaluation & Commercial Launch of ARISE: augmented reality training for chronic neck pain

ARISE is an augmented reality, AI-enabled therapy platform developed by Neuro-Mod to improve chronic neck pain care through engaging, mechanism-informed exercises delivered via lightweight AR glasses and a smartphone. This project combines two goals: (1) clinical pilot evaluation and product refinement, and (2) market launch preparation. During the internship, ARISE will be implemented across up to 10 Hamilton-area physiotherapy clinics, with recurring bi-weekly clinic check-ins to capture patient and clinician feedback, monitor adherence and outcomes (pain, function, quality of life), and document workflow integration and usability. These insights will be translated into a pilot/usability report and a structured bugs/issues/improvements handoff to guide engineering refinements for commercialization. In parallel, the project will build a prioritized Canada-wide clinic target list (physiotherapy, chiropractic, and pain management), launch a sequenced multi-email outreach campaign, and integrate outreach into a CRM to track engagement, follow-ups, and conversions. Together, these activities validate ARISE’s clinical and operational value in real-world care settings while creating the evidence, messaging, and sales infrastructure needed for early adoption and commercial launch in Q4 2026.

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Faculty Supervisor:

Kenneth Owen

Student:

Partner:

Neuro-Mod

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

McMaster University

Program:

Business Strategy Internship

Canadian Medtech Startup (SixthSense Labs): Market Research and Pricing Strategy for Gait-Speed Technology

This project will support SixthSense Labs, a Canadian medtech startup, in bringing its radar-based gait speed tool from a proven prototype to real-world use across Canada. The tool can measure gait speed in under six seconds without wearables or cameras and gives an immediate report, which could help identify mobility decline and fall risk earlier in older adults. A McMaster University supervised business development intern will work with SixthSense co-founders to research the best healthcare and community care markets to enter, compare competitors and alternatives, explore pricing, and test business model choices to guide pilot planning and funding. The expected benefit to the partner organization is a clearer, evidence-informed commercialization plan that reduces uncertainty, strengthens partnerships and go-to-market decisions, and improves the company’s ability to scale adoption of its technology in Canadian care settings.

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Faculty Supervisor:

Kenneth Owen

Student:

Partner:

SixthSense Labs Inc.

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

McMaster University

Program:

Business Strategy Internship

Neuro Thrombectomy device development

This 4 month project will establish Sensible Vascular’s first formalized, quality-system-aligned benchtop performance evaluation framework for its thrombectomy catheter and stent retriever system. The project will focus on developing, validating, and documenting five foundational test methods—trackability, tensile strength, torquability, device–device interaction, and reliability—guided by FDA recommendations, ISO 13485 design control principles, relevant literature, and industry best practices. The intern will define measurable performance requirements, design and validate test setups, execute structured testing on internal prototypes and benchmark devices, and generate reproducible comparative datasets. All methods and results will be captured within a design history framework to ensure traceability and regulatory alignment. Upon completion, the company will possess validated test protocols and benchmark data that reduce development risk and support future preclinical and commercialization planning.

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Faculty Supervisor:

Kenneth Owen

Student:

Partner:

Sensible Vascular

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

McMaster University

Program:

Business Strategy Internship

Towards Explainable and Reliable Large Language Models for Clinical Decision Support

This project aims to develop a reliable and easy-to-understand artificial intelligence tool that can help answer medical questions more safely and transparently. By improving how AI systems explain their answers, the project seeks to increase trust among healthcare professionals and patients while reducing the risk of incorrect or biased medical information. The collaboration between the home institution and Ontario Tech University will support knowledge exchange in responsible artificial intelligence and digital health, provide advanced research training for the trainee, and contribute to Canada’s leadership in ethical and trustworthy healthcare technologies.

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Faculty Supervisor:

Mehran Ebrahimi

Student:

Partner:

National School of Computer Science (ENSI), Tunisia

Discipline:

Computer science

Sector:

Artificial Intelligence; Health and Related Sciences and Technology; Information and Communications Technology (ICT)

University:

University of Ontario Institute of Technology

Program:

Globalink Research Award

Apprentissage de Réseaux de Neurones Booléens par Optimisation Combinatoire et Résolution MaxSAT

Ce projet de recherche a pour objectif d’améliorer l’efficacité énergétique des réseaux de neurones en explorant une méthode d’apprentissage alternative. Le stagiaire aura pour mission de développer une approche informatique permettant de remplacer les calculs numériques complexes par des opérations logiques binaires simplifiées. En utilisant des techniques d’optimisation mathématique, ce travail vise à entraîner des modèles nécessitant moins de mémoire et de puissance de calcul. Les bénéfices attendus concernent la diminution de la consommation d’énergie et la possibilité d’exécuter ces réseaux de neurones directement sur des équipements aux ressources limitées, tels que des objets connectés, sans dépendre d’infrastructures informatiques lourdes.

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Faculty Supervisor:

Florent Avellaneda

Student:

Partner:

Université Paris-Saclay

Discipline:

Computer science

Sector:

Education

University:

Université du Québec à Montréal

Program:

Globalink Research Award

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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.