Innovative Projects Realized

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

29670 Completed Projects

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801
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663
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8841
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568
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Projects by Category

optimizing healthcare management using deep learning

Initially within the application procedure for searching appropriate combination of care seeker/giver matches it’s observed that user must select a range of options like the type of health care worker (HCW) needed for the job, credentials they require, their estimated rate, distance from the location desired, choosing level of experience HCW possesses, and checking whether or not they have any expertise for each disease that care is needed for which creates a burden for the customer to to be able to manually filter the search criteria according to their needs. And, the same can hold true for the care workers as well, at least after the initial setup they might need to filter the search criteria for jobs of interest every time based on some of the criteria mentioned above and parameters like healthcare setting, care schedule, care services, employment type, etc. Thus, an efficient optimization algorithm based on ensemble of models can eliminate the need to do manual repetitive tasks, find better combinations based on the need, increase user satisfaction. This approach takes into account that not all the parameters in finding a match have same level of importance. And as a result better care planning leads to less user frustration for both parties involved helping the platform to grow faster.

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Faculty Supervisor:

Russell Butler

Student:

Partner:

WeBookCare

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

Bishop's University

Program:

Accelerate

Ouverture d’un Costco à Rimouski : Assurer des retombées positives pour le secteur bioalimentaire du territoire du Bas-Saint-Laurent

Le détaillant Costco ouvrira une succursale à Rimouski en 2025. Ce projet mesurera les impacts socioéconomiques sur divers groupes d’acteurs du secteur bioalimentaire du territoire de l’installation d’un gros joueur comme Costco dans une région éloignée. Il vise aussi à documenter les pratiques d’approvisionnement de la compagnie et de la succursale à l’aune du développement durable, de l’achat local et de la responsabilité sociale des entreprises.

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Faculty Supervisor:

Laurence Godin

Student:

Partner:

Table de concertation bioalimentaire du Bas-Saint-Laurent

Discipline:

Sociology

Sector:

Agriculture

University:

Université Laval

Program:

Accelerate

Antennas and Lenses for Lunar Mission Applications

This project focuses on revolutionizing space communication through the design and optimization of customized conical horn antennas tailored specifically for space applications. Horn antennas are pivotal in facilitating efficient communication in space, offering unmatched versatility in controlling radiation patterns and providing high efficiency. This project aims to optimize horn antenna geometries and design metrics by employing advanced numerical techniques and optimization algorithms, in order to create antennas that meet the unique demands of space missions. Through meticulous customization of antenna geometry and iterative simulations, we ensure optimal performance, including minimized sidelobes and enhanced radiation pattern stability across frequencies. In addition, we will study and extend the requirements on the horn antennas’ radiation patterns to obtain the desired illumination profiles where and when the horn antenna serves as a spatial feed for other planar antenna arrays in space applications.

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Faculty Supervisor:

Elham Baladi

Student:

Partner:

AEM Antennas Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Accelerate

Optical characterization of 2D functionalized nanomaterials in the gas phase

Graphene is a promising new nanomaterial, single layers of graphite, with superior physical and electrical properties making it an ideal candidate for electrical applications; however, current graphene production methods are expensive and complicated. As a result, new materials that have similar properties to graphene, but are more amenable to high-yield production are currently being investigated. A strong candidate is reduced graphene oxide (rGO), which is synthesized by inserting oxygen into graphite making it easier to separate into single layers and then removing the oxygen to get graphene-like properties. The final rGO has similar properties to graphene; however, when removing the oxygen not all oxygen atoms will be removed and defects may be introduced. This can lead to changes in shape and size greatly affecting the final properties. This makes it crucial to understand the shape and size of any rGO produced, ideally in line with the manufacturing. This project looks to use time-resolved laser-induced incandescence (TiRe-LII). TiRe-LII uses a laser pulse to heat nanoparticles and records the incandescence as the particle cools. This data can be used to infer particle characteristics, size, and shape. This project examines the potential of using TiRe-LII to characterize rGO for in-line measurements.

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Faculty Supervisor:

Kyle Daun

Student:

Partner:

Universität Duisburg-Essen

Discipline:

Engineering

Sector:

Advanced Manufacturing; Nanotechnology; Energy and Utilities; Quantum Science

University:

University of Waterloo

Program:

Globalink Research Award

Stage ESPCI Paris automne 2024

Nous allons faire l’analyse par résonance magnétique nucléaire du solide de bétons contenant du métakaolin (argile calcinée). Il est considéré que le métakaolin pourrait éventuellement remplacer le ciment Portland, dont la fabrication est l’un des principaux contributeurs à l’émission de gaz à effet de serre. Ce stage se fera dans le laboratoire de Science et Ingénierie de la Matière Molle de l’école ESPCI à Paris, qui est une des références dans ce domaine.

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Faculty Supervisor:

Jérôme Claverie

Student:

Partner:

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

Discipline:

Physics

Sector:

Education

University:

Université de Sherbrooke

Program:

Globalink Research Award

Maximizing Efficiencies – Identification of Optimization Based Best Practices for Commercial 3d-printing

The research project seeks to understand, model and analyze the potential efficiency impact of additive manufacturing (AM or 3D-printing) on select manufacturing processes. The research will involve identifying, testing and measuring optimization opportunities in current manufacturing processes by combining current best practices and technologies across various AM technology and services, operational research methods and standard data mining techniques. The project seeks to form the foundation for understanding how high quality 3D-printing service bureaus using current AM technologies can impact the manufacturing eco-system. The knowledge gained from this research project will help with continued research to investigate how high quality 3D-printing service bureaus can impact economic development through operational efficiencies across the global manufacturing supply chain.

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Faculty Supervisor:

Matthew Kyan

Student:

Partner:

Think2Thing

Discipline:

Business

Sector:

Manufacturing and Construction; New and Digital Media; Technology

University:

Toronto Metropolitan University

Program:

Accelerate

L2M – Revolutionizing Cell Culture: Advanced Collection and Extraction Kits for Enhanced Reproducibility and Efficiency

The proposed project aims to develop innovative cell culture collection and extraction kits designed to streamline and improve the process of collecting cell samples in research laboratories. By addressing the current challenges of manual sample collection, such as time consumption, variability, and error-prone methods, our kit will enhance the reliability and efficiency of biological and medical research. This project aims to produce cutting-edge products that meet the growing demand for precise and efficient sample collection in the biotechnology and pharmaceutical industries. This advancement will not only support the partner organizations research initiatives but also strengthen their position in the market by offering a solution that accelerates scientific discoveries and improves data quality.

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Faculty Supervisor:

Shashi Gujar;J. Patrick Murphy

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Biotechnology

University:

Dalhousie University

Program:

Business Strategy Internship

Obtention de profils génétiques grâce aux polymorphismes d’insertion de rétrotransposons à partir d’éléments pileux avec et sans follicules.

One of the situations that the Forensic Science needs to address is to establish the identity of a human or an specimen from a biological sample. The contribution of this project will be to obtain an optimized method for extracting DNA from hairs with and without follicles and to generate allelic frequencies suitable for use of UNNUL markers in latin american population. The project will also assess whether the successful generation of a genetic profile from follicle-free hair is due to the presence of epithelial cells observed on the outer part of the hair. This will establish a correlation between the quantity of cells, the amount of recovered DNA, and the quality of genetic profiles using INNUL markers. This will integrate microscopic analyses with genetic studies to recover DNA from follicle-free hair, utilizing the techniques and facilities for trace DNA analysis. The information obtained during the internship will enable the development of a protocol applicable in Mexico and other countries to obtain high-quality genetic profiles from hair samples with and without follicles. This will contribute to advancements in forensic science practices, not only benefiting Mexico but potentially serving as a model for other regions facing similar challenges.

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Faculty Supervisor:

Cyril Muehlethaler

Student:

Partner:

Universidad Nacional Autónoma de México

Discipline:

Life Sciences

Sector:

Education

University:

Université du Québec à Trois-Rivières

Program:

Globalink Research Award

Co-creation and evaluation of tools to facilitate the implementation and appropriation of evidence-based adapted physical activity training modules for community-based organizations.

Based on the needs of community partners (Viomax and Adaptavie), we co-developed nine training modules and successfully trained kinesiologists who provide adapted physical activity services to persons with disabilities. Our proposed project aims to co-create and evaluate tools to support the implementation of these training modules within adapted physical activity community-based organizations who provide adapted physical activity services. Using an integrated knowledge translation approach, this project will be completed in two phases. Phase 1 consists of working groups to co-create the implementation tools. In Phase 2, organizations (Adaptavie, Viomax, and 2-3 arms-length organizations) will actively use the tools to implement the training modules within their organizations while being observed by the research team to determine what works and what does not. The result will be useable tools to facilitate the appropriation and implementation of training modules within community-based organizations

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Faculty Supervisor:

Shane Sweet

Student:

Partner:

Adaptavie

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Product Marketing Internship

Foodiepages is corporate gifting business based in Toronto. We help our clients drive personal connections through corporate gifts, with a focus on sourcing from small businesses, sustainability, and personalization at the core of our offering. The company is exploring new B2B products and strategies that will create recurring revenue opportunities with current customers.

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Faculty Supervisor:

Sandy Staples

Student:

Partner:

Foodiepages

Discipline:

Business

Sector:

Retail trade

University:

Queen's University

Program:

Business Strategy Internship

Investigation and Development of a Sensor and Imagery System to Physically Validate Performance of Conformally Cooled Tooling

This project will create a first of its kind system to measure and validate the performance of conformally cooled tooling (CCT) for die casting and injection molding. CCT increases production efficiency and
quality helping Canadian manufacturing to stay competitive with foreign manufacturers. Yet, many manufacturers are reluctant to adopt CCTs due to uncertainty around its performance when installed in a
manufacturing line. This project will create a system that guarantees CCT performance removing any uncertainty and helping to make Canadian manufacturing more efficient.

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Faculty Supervisor:

Simon Coulson

Student:

Partner:

voestalpine High Performance Metals Ltd.

Discipline:

Engineering

Sector:

Manufacturing

University:

Mohawk College of Applied Arts and Technology

Program:

Accelerate

Algorithmic and Software Innovation in Parametric System Solving, Polyhedral Geometry and Symbolic Analysis

Computer Algebra Systems (CAS), with their unique ability to analyze and solve mathematical problems, are gathering new communities of users, who challenge those software systems with more and more complex tasks. It is necessary, therefore, that the core engines of CAS to implement state-of-the-art algorithms. This proposal capitalizes on the research conducted by academic partners at the University of Western Ontario in order to strengthen and extend the technology of their industrial partner, MAPLESOFT, the developers of MAPLE, one of the leading CAS world-wide.

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Faculty Supervisor:

Marc Moreno Maza

Student:

Partner:

Maplesoft

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

The University of Western Ontario

Program:

Accelerate

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