Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

L2M-A Novel Titanium-Enriched Bioactive Glass to Enhance Enamel Mineralization, Whiteness, and Hardness.

This project is aimed at supporting the translation of research innovation from the laboratory into the market. Our proposed innovation involves the use of a newly improved biomaterial in toothpastes to help transform oral health and hygiene. The proposed toothpaste will be effective in addressing tooth caries and discoloration, and simultaneously increase enamel hardness to prevent future caries. The proposed toothpaste poses zero concerns about damage to the teeth and oral environment. With Our toothpaste, a simple brushing step is all that is required to obtain a healthier enamel and brighter smile. The project is beneficial to the partner organization in meeting one of its core objectives: supporting the commercialization of post-secondary research.

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Faculty Supervisor:

Marta Cerruti

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Other

University:

McGill University

Program:

Business Strategy Internship

A research on Liang Shuming’s reciprocal centeredness

Liang Shuming’s”reciprocal centeredness”shows us a new way of gaining rights, he suggests that the realization of one’s personal
rights will be naturally entitled via his fulfillment of necessary obligations.It’s likely that people lead a meaningful life among
harmonious interactions rather than through the “outward demand” of rights,though the status he assigned to rights needs to be
reexamined.Liang’s pre-modern narratives induce him to neglect the potential tension between rights and obligations.He also
simplified a community as a mono-opinion entity, ignoring the potential conflicts between individuals in a group. So the two tasks I
hope to accomplish are to modernize the idea of ” reciprocal centeredness ” and to optimize relevant narratives in the relationship
between group and individuals.

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Faculty Supervisor:

Timothy Cheek

Student:

Partner:

East China Normal University

Discipline:

Sociology

Sector:

Education

University:

The University of British Columbia

Program:

Globalink Research Award

Mastering Multi-modal Decision-making with World-Models

The quest for building an artificial intelligence (A.I.) that is general and able to solve multiple tasks, as humans do, has experienced a growing interest in the last few years. Current A.I. systems can communicate with humans and provide sensible answers and ideas in the form of text. However, if we expect A.I. systems to be pervasively used in real-world applications, we need to provide them with the ability to sense, interpret, reason, and act in the world. This project aims to bridge the gap between A.I. language systems and reality, by employing world models, a recent idea that has been applied in many decision-making tasks, such as video games, simulations, and robotics. By successfully combining language systems with world models, the project aims to build generalist A.I. systems, which have the potential to be adopted for solving numerous real-world tasks, including visual question answering and web-browser based tasks, two challenges that are being extensively researched at ServiceNow.

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Faculty Supervisor:

Aaron Courville

Student:

Partner:

ServiceNow Canada

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Utilizing Additive Manufacturing to Design an Enhanced Tool for Internal Skin Stitching during Colonoscopy Procedures

1 in 13 men in Canada is diagnosed with colon cancer every year. And 1 in 29 will die consequently. 1 in 16 women in Canada are similarly diagnosed leading to death in 1 out of 34 women. More than 90% of colon cancer cases start as a small benign growth called polyp. These polyps can be removed during a colonoscopy thus preventing colon cancer. When these polyps are large, the resulting defect can be a challenge to close.
Currently, the process used to close the defect is complicated, lengthy and requires highly skilled trained professional to perform it. We are still lacking proper way to achieve that. This project innovates a technique to facilitate successful completion of the procedure. This project will achieve a simpler, smoother and cost-effective technique for closing the defect.

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Faculty Supervisor:

Emeritus Mohamed Elbestawi

Student:

Partner:

Makar Medical Research and Development

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

McMaster University

Program:

Accelerate

Automated optimization of robotic tasks and transitions using graph-based approaches

In machining applications, the robot can rotate about the tool axis without affecting machining results. This additional freedom is beneficial in the sense that it can be used to avoid robot singularities, joint limits, collisions, etc. In this project, we will investigate methods of managing this additional degree of freedom automatically. Further, between operations, the robot must transition from the end of one operation to the start of the other operation. This transition must be collision free. In this project, we wil also investigate methods to manage such transition automaticaly.

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Faculty Supervisor:

Wen-Fang Xie

Student:

Partner:

Hypertherm Robotic Software

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

L2M – Bio-inspired surface modifications of transepithelial implants to improve soft tissue seal and eliminate infections

Medical devices and implants that cross the skin do not seal well with the skin, making them prone to infections and eventually failure and removal. We propose a bio-inspired coating for these devices. This coating will help these devices adhere to the skin and prevent bacteria from entering the body and causing infections. The coated devices will have longer lifetime than the current ones, which will improve patients’ quality of life and reduce healthcare costs.

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Faculty Supervisor:

Marta Cerruti

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Biotechnology; Health and Related Sciences & Technology

University:

McGill University

Program:

Business Strategy Internship

L2M- Remote Care: Empowering patients through Remote Self-administered Medical assessment.

“RemoteCare” is a novel initiative that empowers individuals to conduct part of their medical assessments independently via a user-friendly remote digital solution. By enabling self-assessments, it reduces physician workload, minimizes wait times, and ensures quicker access to medical assistance, especially in underserved areas. However, its progress hinges on gaining the trust of traditional healthcare providers, navigating regulatory barriers, and customizing the solution through human-centric design. The “Lab2Market Mitacs BSI” program aids in these challenges by facilitating collaborations, mentorship, and knowledge exchange to create an efficient and accessible healthcare tool for all. By engaging with experts through the Lab2Market Mitacs program, “RemoteCare” aims to create a stronger, more resilient Canada by reducing strain on health resources, optimizing efficiency, and improving accessibility one person at a time.

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Faculty Supervisor:

Joseph Ferenbok

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

University of Toronto

Program:

Business Strategy Internship

Improved quality control of blood products using high throughput mass spectrometry coupled to machine learning approaches.

We will assess the quality and suitability of blood and blood-derived products using a fast and economical approach that combines measurements of molecules in the blood product identified by their weight and computational approaches to make sense of all the data generated. Normal blood products have thousands of small molecules in common. By monitoring a large spectrum of these molecules, we will be in a position to determine the normal state and the quality of the products. Having determined the profile of molecules that are present in the normal conditions therefore any deviations should be considered abnormal and the product discarded or tested for degradation or infection by microbes. The process will increase the safety of blood and blood products in Canada and therefore will benefit all Canadians. The process will save money and time and provide new expertise for blood banks across our country. Moreover, the project will open new markets for our sponsor Phytronix

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Faculty Supervisor:

Jacques CORBEIL

Student:

Partner:

Phytronix Technologies Inc;Héma-Québec (Montreal)

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Other; Biotechnology

University:

Université Laval

Program:

Accelerate

The Raglan Community Social Involvement (CSI) Project: Developing a Comprehensive Model with Inuit Partners

Raglan Mine is developing new, strategic and aligned approaches to its Community Social Involvement (CSI) program. The aim of this program is to partner with others to deliver long lasting value through programs of capacity building, and community social and economic development. This proposed research project involves further developing a comprehensive Community Social Involvement (CSI) model that responds to the needs and desires of both Raglan Mine and the villages of Nunavik. To do this, the intern will work closely with representatives from Glencore-Xstrata (head office), Raglan Mine, regional and local Inuit leaders, representatives from Inuit organizations, as well as community members. This Action-Research will benefit Raglan Mine because it responds to the desire of the company to create a lasting positive legacy in the communities closest to it. The comprehensive framework (CSI model) that will emerge from the results of this research project will not only form the basis for immediate action in Nunavik in 2014, but it will also serve as the foundation for other such initiatives in the future.

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Faculty Supervisor:

Caroline Desbiens

Student:

Partner:

Glencore Canada Corporation - Raglan Mine

Discipline:

Computer science

Sector:

Mining

University:

Université Laval

Program:

Accelerate

Application of Transformer Models to Raw Credit Bureau Files for Improved Credit Risk Modelling Performance

This research project will look at new ways to better understand and evaluate a person’s creditworthiness using advanced computer techniques. Traditionally, when banks or lenders decide if someone can be trusted with a loan, they look at specific numbers and data. However, there’s a lot of information in written reports that these traditional methods might miss. Our project will use a technology called Natural Language Processing (NLP) to read and analyze these reports in depth. By doing so, we hope to make credit evaluations more accurate. For the partnering organization, this means they can make better lending decisions, which can lead to increased profits and fewer bad loans.

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Faculty Supervisor:

Vahab Khoshdel

Student:

Partner:

Wealthsimple Technologies

Discipline:

Computer science

Sector:

Information and cultural industries; Mining

University:

University of Manitoba

Program:

Accelerate

Optimisation de la configuration et du déploiement d’une flotte de véhicules de service électriques

La Société de transport de Montréal (STM) souhaite électrifier sa flotte de véhicules de service (VS) d’ici 2027.
Cette transition suscite divers défis pour la recharge des batteries. Contrairement aux bus thermiques, qui nécessitent un arrêt de quelques minutes, les VS électriques doivent être immobilisés pendant plusieurs heures pour une recharge. Parmi ces 500 véhicules, une centaine, de type bureau, doit pouvoir être réquisitionnée à tout moment. Cette flotte a été dimensionnée de manière empirique, avec un coefficient de sécurité élevé, alors la question d’un redimensionnement pose un défi, car il faut prendre en compte les particularités de chaque type de véhicule. L’objectif ultime est de redimensionner la taille de la flotte afin de minimiser les coûts opérationnels. Ce problème sera formulé comme un problème d’optimisation mathématiques.

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Faculty Supervisor:

Tasseda Boukherroub

Student:

Partner:

Société de transport de Montréal

Discipline:

Engineering

Sector:

Transportation and warehousing

University:

École de technologie supérieure

Program:

Accelerate

Investigation on the Large Language Model adaptation pipeline for domain specific knowledge extraction – application in digitized business scenario

Proco, a tech company that helps franchises with AI, wants to make it easier for franchise owners to find important information in franchisors’ documentation. They use a complex information retrieval system and need a simpler and more robust solution. To do this, they plan to improve an existing Large Language Model (LLM) by teaching it to understand franchisor-related information better. They want to understand if this approach will work and, if it does, how to implement it efficiently. This will help them be less dependent on outside tools and get new franchise owners started faster. The intern’s job will be to create a step-by-step process to improve an LLM and make sure it works well.

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Faculty Supervisor:

Yaoyao Fiona Zhao

Student:

Partner:

Proco Innovation

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

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