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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8841
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95
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568
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Projects by Category

A comparison of training pathways for orthopaedic surgeons in Canada and Ukraine to align Ukrainian medical education with Western standards in the post-Soviet era.

Following the 2022 invasion of Ukraine, surgeons there have worked tirelessly to address the massive burden of injuries from the high volume of orthopedic and spine injuries sustained. The complexity of these wounds and sheer volume of patients has overwhelmed health system resources, which by Western standards were already deficient in the post-Soviet era. The post-Soviet legacy had already created systemic challenges that have limited the availability in Ukraine of many surgical techniques and equipment utilized in the West. Following current collaboration over 2 years between Ukrainian surgeons and McMaster University’s ASSIST project, it would also appear that the training pathway for Ukrainian orthopaedic surgeons is significantly different from that in Canada, with notable gaps in curriculum content, clinical exposure, and competency assessment, all of which affect patient outcomes. It is this gap in surgical training between Ukrainian and Canadian surgeons that I wish to address in this MITAC supported research. Our research proposes to study and contrast the current surgical training schemes in Ukraine with Canadian training programs to develop an orthopedic trauma residency program in Ukraine, similar to evidence-based programs in the West.

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Faculty Supervisor:

Markian Pahuta;Paul Moroz

Student:

Partner:

Poltava State Medical University

Discipline:

Sociology

Sector:

Education; Health and Related Sciences & Technology

University:

McMaster University

Program:

Globalink Research Award

Neurotoxicité induite par la chimiothérapie : Approches pré-clinique, clinique et épidémiologique

Bien que la douleur chronique cancéreuse soit fréquente, son évaluation et sa prise en charge restent insuffisantes. La douleur neuropathique causée par la chimiothérapie est particulièrement complexe, souvent mal diagnostiquée et traitée, avec des lacunes dans l’accès aux soins. La Société Américaine d’Oncologie Clinique a noté qu’aucun agent pharmacologique n’est recommandé pour prévenir cette douleur, selon les données actuelles. Les patients se tournent souvent vers l’automédication ou l’association de divers médicaments, comme les gabapentinoïdes, les opioïdes, les benzodiazépines et les antidépresseurs, augmentant les risques de toxicité et d’interactions médicamenteuses. Les canaux sodiques jouent un rôle essentiel dans ces neuropathies, et leur étude est cruciale. L’augmentation des problèmes liés aux gabapentinoïdes, incluant mésusage et addiction, est préoccupante, tout comme les mécanismes de toxicité neuro-respiratoire et le rôle de la tolérance encore mal compris.
Ce projet vise à : i. Analyser les facteurs cliniques, biologiques et génétiques influençant la douleur et l’efficacité des traitements, en mettant l’accent sur les gènes des canaux sodiques ; ii. Étudier les effets toxiques des traitements courants comme les gabapentinoïdes avec des modèles animaux ; iii. Explorer comment les variations génétiques affectent les canaux sodiques, pour développer de nouvelles thérapies pour la douleur neuropathique.

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Faculty Supervisor:

Aline Hajj

Student:

Partner:

Université Paris Cité

Discipline:

Life Sciences

Sector:

Education

University:

Université Laval

Program:

Globalink Research Award

Rôle de l’intelligence artificielle dans le processus de revue de littérature systématique

Le projet de recherche explore l’intégration de l’intelligence artificielle (IA) dans le processus de revue de littérature systématique (RLS) afin d’optimiser l’efficacité, la rigueur et l’exhaustivité des analyses académiques. Traditionnellement, la RLS est une tâche chronophage nécessitant une collecte, un tri et une analyse manuelle de grandes quantités d’articles, souvent sujette à des biais humains et à des erreurs. L’objectif principal de cette recherche est de développer et d’évaluer un cadre méthodologique basé sur l’IA qui automatise et améliore ces étapes critiques. L’IA, peut identifier rapidement des modèles, extraire des informations pertinentes, et classer des articles en fonction de critères prédéfinis, réduisant ainsi considérablement le temps nécessaire pour effectuer une RLS. De plus, l’utilisation de l’IA peut renforcer la reproductibilité des résultats, diminuer le risque d’omission d’études importantes, et offrir des perspectives nouvelles en détectant des relations entre des concepts que l’œil humain pourrait manquer.
Les résultats attendus incluent une accélération significative du processus de revue de littérature, une diminution des biais, et une amélioration de la qualité des synthèses produites. Ce projet ambitionne de rendre les revues de littérature plus accessibles et plus précises pour les chercheurs, facilitant ainsi l’innovation et le progrès scientifique

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Faculty Supervisor:

Abdeslam Hassani

Student:

Partner:

Université Ibn Tofaïl

Discipline:

Sociology

Sector:

Artificial Intelligence

University:

Université du Québec à Trois-Rivières

Program:

Globalink Research Award

Visual Analytics for Canadian Beef Producers

Canadian Angus Beef Producers measure, record and have access to copious amounts of data, for a growing number of traits and metrics that are economically relevant. To date, the industry and service providers like the Canadian Angus Association through which data is recorded and analyzed have been limited in the format in which this data is reported. The development and licensing of new, web-based, mobile friendly, on farm management software is making it easier for us to collect information. This project is designed to transform that information into valuable, easily applied, usable, and visual analytics such that Canadian Angus beef producers can make better informed decisions that improve producer profitability, animal health and welfare, and the industry’s sustainability.

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Faculty Supervisor:

Usman Alim

Student:

Partner:

Canadian Angus Association

Discipline:

Computer science

Sector:

Agriculture

University:

University of Calgary

Program:

Business Strategy Internship

Integrating Endpoint Detection, Threat Intelligence, and Incident Response for Real-Time Threat Mitigation

In today’s rapidly evolving digital world, businesses face increasingly complex and sophisticated cyber threats. Traditional security measures are often not enough to detect and respond to these advanced attacks. A critical challenge lies in the lack of integration between key security tools—such as Endpoint Detection and Response (EDR) systems, Threat Intelligence, and Incident Response—which currently operate independently, leading to gaps in protection.
This project focuses on enhancing the synergy between these vital components to provide stronger and more comprehensive security solutions. By creating a unified platform, we aim to enable real-time collaboration and data sharing, empowering businesses to detect, analyze, and respond to cyber threats more effectively.

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Faculty Supervisor:

Eslam AbdAllah

Student:

Partner:

EPICSEC

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Concordia University of Edmonton

Program:

Business Strategy Internship

CT Coronary Artery Phantom Fabrication

The project relates to the fabrication of polymeric devices capable of mimicking that of live human tissue under x-ray computed tomographic (CT) imaging. These devices must be fabricated in such a way that specific material properties are controlled to thereby precisely mimic the desired tissue. The work following this will benefit the partner organization as they will be able to optimize CT imaging conditions by means of precise tissue mimicking polymeric devices. The intern will be largely involved in both the modelling and fabrication of the polymeric devices by defining the relationship between the material properties and its effect under the CT scanner.

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Faculty Supervisor:

Hani Naguib

Student:

Partner:

Toshiba Canada

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Integration of Generative AI into AI-native services in next generation networks

The project aims to innovate by applying generative AI to network infrastructure, focusing on the development of models that can autonomously design network topologies, anticipate traffic patterns, and simulate various scenarios to proactively address potential issues. This collaboration will blend Nokia’s technological strength with the University of Ottawa’s leading research to create AI-driven network solutions. These solutions will be prototyped and rigorously tested in real-world environments using the university’s advanced research facilities and those of its partners.
Bridging generative AI with network management is expected to significantly boost performance, offering enhanced data speeds, reduced latency, and more efficient bandwidth usage. These improvements are vital as the demand for high-speed internet continues to rise, ensuring networks are robust and capable of meeting future connectivity demands.
Additionally, the project will focus on developing self-optimizing networks, which will reduce the need for manual oversight, thus cutting operational costs and improving response times to network issues. This innovation will lead to the creation of more scalable and resilient network infrastructures. Ultimately, the goal is to leverage generative AI to build intelligent, efficient, and autonomous networks that can meet the future demands of an increasingly interconnected world.

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Faculty Supervisor:

Burak Kantarci

Student:

Partner:

Nokia Canada Inc (ON)

Discipline:

Engineering

Sector:

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

University:

University of Ottawa

Program:

Accelerate

Jumeau numérique portuaire : concept théorique et recension de cas

Le projet se concentre sur l’exploration et la définition des jumeaux numériques dans le secteur portuaire, en examinant leurs niveaux de maturité technologique et leurs applications pratiques. Réalisé en collaboration avec le Centre d’expertise en logistique portuaire, à terme l’objectif est de démontrer comment les jumeaux numériques peuvent transformer la gestion de la logistique portuaire en améliorant l’efficacité opérationnelle et en réduisant l’empreinte environnementale d’un système complexe où transit une diversité de marchandises. Le projet se veut ainsi être un pilier pour catalyser la transformation numérique des ports québécois, avec un accent sur la compétitivité et la durabilité des opérations portuaires du corridor Saint-Laurent et Saguenay.

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Faculty Supervisor:

Jean-François Audy

Student:

Partner:

Centre d'expertise en logistique portuaire

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Effets d’une exposition transgénérationnelle aux perturbateurs endocriniens et d’une exposition maternelle à un régime riche en graisse sur le contrôle de la reproduction

Les perturbateurs endocriniens (EDC) sont connus pour affecter la reproduction et représentent un problème de santé publique, puisque nous sommes tous exposés à ces substances. Nous avons récemment montré que l’exposition à un mélange d’EDC durant la gestation entraine une altération de la puberté et de l’ovulation chez les générations qui n’ont pas été directement exposées. De plus, nous savons que l’exposition à un régime riche en graisse (HFD) pendant la grossesse peut affecter la santé future du fœtus. Le but du projet est de mieux comprendre les effets d’une exposition indirectes aux EDC combinée à une exposition maternelle à un HFD sur le développement des ovaires et des testicules afin de conscientiser et sensibiliser à l’impact de notre environnement sur la fertilité et la puberté des enfants.
Nos données préliminaires indiquent que c’était principalement le HFD maternelle qui affectait défavorablement la croissance et la fertilité de la descendance. Nous avons montré que l’exposition maternelle au HFD chez le rat induit un retard pubertaire, une diminution du poids testiculaire ou une perturbation du cycle œstral.
Le séjour dans le laboratoire du Pr. Delbès permettra de caractériser les atteintes gonadiques causées par le HFD maternelle et d’en explorer les mécanismes d’action.

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Faculty Supervisor:

Geraldine Delbès

Student:

Partner:

Université de Liège

Discipline:

Life Sciences

Sector:

Education

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Globalink Research Award

Heterogeneous Multi-A gent Learning for Coordinated Multi -function Decision- Making on Autonomous Platforms

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW.

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Faculty Supervisor:

Giovanni Beltrame

Student:

Partner:

Thales Recherche et Technologie

Discipline:

Computer science

Sector:

Management of companies and enterprises; Manufacturing; Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Accelerate

Sustainable Development Goals and the Kingston In Focus Dashboard

The Covid-19 pandemic has led to many changes in our local economies. While we have seen extreme inequity and economic losses we have also seen innovations and rapid-response adaptations by businesses, institutions and social service providers. Due to the rate of constant change over multiple waves of the pandemic, the ability to track and measure these changes and losses has been varied and collected independently by organizations and businesses resulting in a knowledge and data gap. Since the first phases of addressing these challenges through the creation of a specific Kingston & the area data dashboard, including 8 categories of analysis (community health, local economy, housing, employment, environment, cultural heritage, mobility, and demographics), the project has grown to bring in additional partnerships between Queen’s University, Kingston Economic Development, City of Kingston, Centre for Advanced Computing, and Kingston and Area Association of Art Galleries, Museums and Historic Sites By providing metrics across municipal sectors, critical insight into measuring the City’s resiliency and impacts have been made. Kingston residents have been calling for more data to be represented on the dashboard, and additional information around economic data, housing, Sustainable Development Goals and other community indicators. This funding will enable interns to work with community partners to update and add additional information on the dashboard.

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Faculty Supervisor:

Carolyn DeLoyde

Student:

Partner:

City of Kingston

Discipline:

Sociology

Sector:

Public administration

University:

Queen's University

Program:

Business Strategy Internship

Multinational migrations

This research project focuses on understanding how moving between multiple countries impacts migrants’ sense of identity and overall well-being. By analyzing data collected with migrants in both Canada and Brazil, the study aims to uncover the psychological and emotional challenges they face during these transitions. The project will provide valuable insights into the complexities of multinational migrations, contributing to better support systems for migrants. For the participating institutions, this collaboration will enhance their research capabilities, foster international academic partnerships, and offer students a unique opportunity to engage in cross-cultural research, ultimately benefiting both Canadian and Brazilian societies.

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Faculty Supervisor:

Luciara Nardon

Student:

Partner:

Federal University of Parana

Discipline:

Sociology

Sector:

Other

University:

Carleton University

Program:

Globalink Research Award

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