Innovative Projects Realized

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

30156 Completed Projects

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Projects by Category

Deepening Intersectional Considerations of LGBTQ+ Health

In wanting to better understand how the intersections of gender identity and expression, sexuality, racialization and ethnicity are taught within mental health care, education and professional practice, the overall objective of this research project is to learn how LGBTQ+ identities are taught to and understood by psychology students in Brazil. Dr. Dhebar will learn intersectional practice outside of Canada and United States, and this project will be an opportunity for knowledge exchange between health and psychlogy researchers in Brazil, and the intern in Canada. It will allow her to learn and engage with these approaches more deeply by working with the host supervisor and his colleagues at three other universities in Brazil. Therefore, this project seeks to build upon existing research, by learning the intersectional contexts and considerations in Brazil, specifically in psychology and LGBTQ+ Health programs.

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Faculty Supervisor:

Nathan Lachowsky

Student:

Partner:

University of Uberlândia - Institute of Psychology

Discipline:

Sociology

Sector:

Education; Public Service, Policy, and Governance

University:

University of Victoria

Program:

Globalink Research Award

Form Era Studio – Made in Canada Curvy Jeans

Form Era Studio Ltd. is a Toronto-based fashion brand launched with the aim of addressing a fit problem familiar to approximately 1 in 5 women: waistband gaps in jeans and pants (i.e., 2 or more inches of excess fabric at the waist, when jeans are purchased to fit the hips). Through the completion of a recent Mitacs Accelerate internship, we have developed an innovative solution to this problem through iterative pattern and product development. We have set up a sewing studio in midtown Toronto in which our brand designs, develops, and produces high-quality women’s jeans, intentionally developed for the “hourglass” body type that experiences the waistband gap fit issue. It is now time to bring our product to market, and to hone our marketing, wholesale, and customer service strategies to reflect the needs and desires of our target markets: individuals and retailers in Canada, the US, and the UK. We aim to collaborate with George Brown College graduates to help with the development of our marketing, advertising, and branding, and to help us find the right product-market fit for our designs, both within Canada and abroad.

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Faculty Supervisor:

Anouk Natalya Willy

Student:

Partner:

Form Era Studio Ltd.

Discipline:

Sociology

Sector:

Manufacturing

University:

George Brown College of Applied Arts and Technology

Program:

Business Strategy Internship

Building Worlds: A Critical History of Contemporary Chinese Photography

As a cultural historian, my research examines the history of contemporary Chinese photography, photo theory, and the intellectual and cultural politics of contemporary China. Through a detailed examination of numerous art, photography, and academic journals, along with exhibition catalogues and archival material from artists, my research seeks to analyse the historical and intellectual roots of a critical photographic practice in contemporary China. Thisresearch project will be in support of my dissertation, and I will work closely with artists and academics in China to obtain the requisite source material necessary for my dissertation – none of which is available in Canada. The goal of this research trip will thus be to obtain further archival material in support of my dissertation, and also to establish connections with prominent photographers and academics working in Beijing, Shanghai, and Hong Kong.

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Faculty Supervisor:

Jennifer Purtle

Student:

Partner:

Central Academy of Fine Arts

Discipline:

Computer science

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Demande SSE | Luna Fakhouri

Le projet vise à développer des agents d’intelligence artificielle (IA) spécialisés pour une intégration responsable dans le marketing numérique. L’essor de l’IA crée des attentes accrues en termes de productivité, mais soulève des défis éthiques, énergétiques et de biais. Pour Click & Mortar, il est crucial de maintenir une approche responsable dans l’usage de ces technologies. Le projet explore l’utilisation d’agents d’IA spécialisés, comme alternative aux modèles généralistes, afin d’améliorer la qualité et l’efficacité des opérations marketing, tout en réduisant les impacts négatifs. La question centrale est de savoir si ces agents peuvent amplifier les performances humaines tout en minimisant les défis éthiques et énergétiques. La démarche inclut le développement, l’entraînement, et la comparaison d’agents d’IA pour des tâches spécifiques. Le projet évalue les conditions d’une synergie optimale entre les agents et les humains. En plus d’optimiser les pratiques internes, ce projet vise à établir un modèle durable d’adoption de l’IA.

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Faculty Supervisor:

Sylvain Amoros

Student:

Partner:

Click & Mortar

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

HEC Montréal

Program:

Business Strategy Internship

Optimizing QUS-based ML Training Pipeline Efficiency for Liver Health Analysis

This project will involve developing tools and conducting analyses to improve the efficiency and quality of a quantitative ultrasound (QUS)-based machine learning pipeline. The student will work within a company that uses raw ultrasound image data captured on mobile devices to produce liver health scores (measured in kPa). These scores are used to assess liver stiffness, an indicator of liver fibrosis and related health issues.

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Faculty Supervisor:

Jean-Baptiste Poline

Student:

Partner:

Oncoustics

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

McGill University

Program:

Business Strategy Internship

Reformage de gaz issu de biométhanisation simulé : réacteur thermique vs. réacteur à plasma nonthermique

Dans l’urgence climatique à laquelle nous faisons face depuis plusieurs années, de nombreux sujets de recherche ont émergé dans le but de réduire l’impact environnemental du monde industriel. Une des principales motivations de ces récentes avancées concerne la réduction des émissions de gaz à effet de serre (GES) par leur recyclage ou transformation. Dans ce contexte, la biométhanisation, aussi appelée digestion anaérobie, représente l’une des formes d’énergie renouvelable ayant le meilleur bilan énergétique, visant à limiter le rejet naturel de méthane lors de la décomposition des déchets dans les sites d’enfouissement.
Ce projet vise à explorer une alternative pour la réutilisation du biogaz issu de la biométhanisation par le biais d’un reformage, avec pour objectif de maximiser sa valorisation. Pour cela, deux systèmes seront comparés : un premier impliquant un réacteur thermique et un second un réacteur assisté par plasma non thermique.
Objectifs du projet :
• Investiguer les deux systèmes et comparer leur efficacité pour le reformage du biogaz.
• Étudier les conditions expérimentales nécessaires (températures, débit de gaz, catalyseur, etc.) pour optimiser les rendements de réaction.
• Définir les avantages et inconvénients de l’implémentation et de l’utilisation de tels systèmes à grande échelle.

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Faculty Supervisor:

Inès Esma Achouri

Student:

Partner:

INSA Centre Val de Loire

Discipline:

Engineering

Sector:

Sustainability & the Environment

University:

Université de Sherbrooke

Program:

Globalink Research Award

Développement et utilisation de catalyseurs à base de fer supporté sur l’hydroxyapatite pour des réactions d’hydrogénation du CO2

Face à l’urgence climatique et la nécessité de réduire les émissions de gaz à effet de serre, ce projet de recherche se focalise sur des stratégies innovantes pour la valorisation du CO2. Cette recherche s’inscrit dans un contexte de transition énergétique et de lutte contre le changement climatique, où transformer le CO2 en produits chimiques à valeur ajoutée est devenu impératif. Le stagiaire travaillera sur l’hydrogénation catalytique du CO2 en utilisant des nanoparticules de fer supportées sur de l’hydroxyapatite, un matériau écologique et abordable. Ce projet offre des avantages multiples : il promeut l’utilisation de ressources durables, améliore l’efficacité énergétique et soutient l’économie circulaire en transformant le CO2, considéré habituellement comme un déchet, en ressource utile. Ces recherches pourraient mener à des avancées significatives dans le secteur industriel et contribuer à l’atteinte des objectifs globaux de réduction des émissions de gaz à effet de serre.

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Faculty Supervisor:

Inès Esma Achouri

Student:

Partner:

Université Grenoble Alpes

Discipline:

Engineering

Sector:

Education

University:

Université de Sherbrooke

Program:

Globalink Research Award

Optimization of micropillar microfabrication process for heterogeneous integration

Advanced packaging and high-density chip stacking technologies are pivotal in the evolution of microelectronics, enabling enhanced performance through heterogeneous integration. As the industry moves toward reducing bump size and pitch, the bonding methodology has shifted from solder balls to Cu pillars. Although Cu pillars with solder caps have successfully replaced solder bumps, they encounter technical limitations below 30?µm pitch, introducing new challenges, particularly in terms of thermomechanical strength, electromigration resistance, and warpage accommodation.
This project aims to develop high-density ( View Full Project Description

Faculty Supervisor:

Dominique Drouin

Student:

Partner:

Université Grenoble Alpes

Discipline:

Engineering

Sector:

Education

University:

Université de Sherbrooke

Program:

Globalink Research Award

Polymer hybrid bonding for microelectronic assembly

Advanced packaging and high-density chip stacking technologies are pivotal in the evolution of microelectronics, enabling enhanced performance through heterogeneous integration. Hybrid bonding interconnection has increasingly been recognized as the unique bonding method that meets the demands for high-density chip stacking. Cu/SiO2?hybrid bonding is the standard packing interface recently introduced in the industry. However, it faces several challenges. Its low bonding strength due to interfacial water trapping can lead to delamination and failure under stress. Moreover, the overall process requirements – such as temperature, surface roughness, and cleanness – are incompatible with a reconstituted wafer.
This project focuses on polymer-based hybrid bonding technology to enable finer-pitch interconnections. Specifically, it aims to reduce surface cleaning requirements and simplify the manufacturing process. Replacing SiO2 with a polymer dielectric is anticipated to mitigate these issues due to the polymer’s softer mechanical properties, which can absorb contaminant particles into their matrix without damaging the bonding interface. This project proposes the development of polymer bonding processes to achieve the desired packaging interface. Detailed investigations on materials and processing challenges will be conducted to realize successful Cu/polymer hybrid bonding.

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Faculty Supervisor:

Dominique Drouin

Student:

Partner:

Université de Toulon

Discipline:

Engineering

Sector:

Advanced Manufacturing; Nanotechnology; Technology

University:

Université de Sherbrooke

Program:

Globalink Research Award

M-MIMO Channel Estimation using Federated Learning

examine the feasibility of an innovative solution that combines Federated Learning with Deep Reinforcement Learning (DRL) to optimize the selection of edge nodes for model aggregation. Through the proposed DRL-based client selection method, the system can actively select nodes that have shown superior performance based on their training quality, computational resources, and network conditions. This selection mechanism continuously interacts with the environment, learning and adapting to changes in network conditions and client states. The presented architecture employs DRL to screen edge node behavior and to facilitate the selection of nodes by considering multiple factors such as computational power, latency, data quality, and more. The client selection algorithm utilizes DRL to transform the device node selection problem into a Markov Decision Process (MDP), defining comprehensive action and state spaces as well as a reward function that is aligned with the primary objectives of efficient and effective FL. The customized reward function enables the RL agent to achieve faster model convergence. This innovation holds immense potential for diverse applications and is poised to be a game-changer in the IoT domain.

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Faculty Supervisor:

Wei Shi

Student:

Partner:

Ericsson Canada Inc (Ottawa, ON)

Discipline:

Computer science

Sector:

Information and cultural industries; Manufacturing; Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

SI INTERPOSER PLATFORM FOR QUANTUM APPLICATIONS

Global transition to a digital society has billions using microelectronic technology in their day-to-day activities. The increasing demand for miniaturization, speed, and reliability must be satisfied with a compact combination of multiple microchips. The technical constraints are quickly surpassing the capabilities of conventional circuit boards. Thus, silicon interposers, a high-cost, high-performance packaging solution for integrating multiple kinds of chips, have gained popularity in research and commercialization. This proposal will develop and prove the first low-cost, accessible silicon interposer technology made-in-Canada.
This project aims to develop ultra-compact systems on interposer to advance the state of the art in quantum technology. As a result of this project, an established Canadian supply chain for interposers, involving national innovation facilities and university labs, will continue delivering this critical tool to enable the growing digital economy and to boost international competitiveness for over 10,000 microsystems developers in Canada.

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Faculty Supervisor:

Dominique Drouin;Marie-Josée Gour

Student:

Partner:

Université de Toulon

Discipline:

Engineering

Sector:

Advanced Manufacturing; Nanotechnology; Technology; Quantum Science

University:

Université de Sherbrooke

Program:

Globalink Research Award

Audio Hardware Calibration and Audiometry

This project is to focus on building an application that can be used to perform a audiology-grade calibration of consumer headphones (and microphones) on a mobile device (such as an iPhone or iPad). The intern will use mathematical techniques (such as spectral analysis) to help gather and analyze user information more efficiently in order to provide a fast, accurate assessment of the user’s hardware capabilities for the purposes of hearing testing. The benefit to the partner organization is the creation of an application that, with minimal modification, can be marketed to hospitals, hearing centers, and other medical-related fields; as well as to the general public. In addition the company will gain valuable benefits from working with academic partners such as access to sophisticated analysis and simulation software (such as MATLAB).

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Faculty Supervisor:

Marek Stastna

Student:

Partner:

Monolith Interactive

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

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