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

Hover BSI Internshpi

Hover seeks to recruit an intern to aid in the evaluation and enhancement of Drone Delivery within Canada. This internship plays a vital role in fostering the growth of the industry within the country. Should the minimum viable product (MVP) demonstrate a favorable response, it will pave the way for the advancement of this novel technology across various Canadian enterprises. The intern will contribute to the establishment of partnerships with businesses intrigued by this technology, as well as assist in drone operations. By receiving assistance and insights, Hover stands to gain substantial benefits. Given our status as a small company, the intern will have the opportunity to actively participate in decision-making processes that directly shape the company’s future.

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Faculty Supervisor:

Alexander Coutts

Student:

Partner:

Hover

Discipline:

Business

Sector:

Manufacturing; Professional, scientific and technical services; Transportation and warehousing

University:

York University

Program:

Business Strategy Internship

Learning to organize and discover biomedical scientific literature

This project will investigate machine learning methods to organize and discover the vast literature on biomedical science. First, it will focus on named entity recognition–the task of finding and classifying entities in text documents–on large collections of abstracts and full-text of research papers and investigate semi-supervised learning methods to leverage large collections of unlabeled research papers. Second, it will focus on designing new ranking algorithms for research papers by exploiting information from several sources, including citation networks of papers, future impact predictions of new research papers and domain ontologies. The solutions to these problems will directly impact the performance of the methods that are currently in use by the company to solve the discovery problem of biomedical research papers.

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Faculty Supervisor:

Quaid Morris

Student:

Partner:

Sciencescape

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Feasibility of Hybrid Ground-Source Heat Pumps for Sustainable Heating in Cold Climates

Using fossil fuels in building heating systems is greenhouse gas (GHG) intensive, leading to global warming. Ground-source heat pumps (GSHPs) are cleaner electric alternatives to fossil fuel systems. They utilize and
transport heat from the ground to warm buildings. However, prolonged use of GSHPs can lead to a phenomenon known as thermal imbalance, which depletes the ground heat content and decreases soil temperature reducing
the performance of GSHPs. Additionally, GSHPs are expensive compared to traditional fossil fuel-based heating systems. To address these issues, this study explores the feasibility of a hybrid GSHP system, which combines a
GSHP with a natural gas furnace. The aim is to optimize the operation of the hybrid system to have minimal initial/operating cost, and emissions while maintaining high energy efficiency.

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Faculty Supervisor:

Carey Simonson

Student:

Partner:

City of Saskatoon

Discipline:

Engineering

Sector:

Public administration; Utilities

University:

University of Saskatchewan

Program:

Accelerate

Entraînement d’un agent conversationnel pour les procédures internes

Koïos Intelligence est à la source de l’agent conversationnel Olivo qui vise à offrir une expérience
interactive, guidant l’utilisateur au travers des processus de prévente, de vente et d’après-vente pour
tous les types d’assurances. Bien que l’outil soit dans un état avancé tant au niveau de la conversation
écrite qu’orale, et ce aussi bien en français qu’en anglais, son amélioration se heurte aux exigences
computationnelles lourdes pour l’entraînement des modèles d’apprentissage automatique sous-jacent.
De plus, les outils de discussions interactifs sont souvent imprécis dans leur développement et mise en
oeuvre dans le cadre d’un champ d’application particulier. Dans le domaine de l’assurance, il y a peu de
solutions adaptées aux procédures internes. L’idée serait donc de perfectionner un robot interagissant
avec les employés et, selon leur position, les accompagner dans certaines tâches administratives
(formation d’un nouvel employé, accès à la documentation interne, etc.). Il est nécessaire pour les
rendre plus pertinents d’améliorer leur entraînement en utilisant des bases lexicales spécialisées, dont
dispose en interne Koïos Intelligence.

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Faculty Supervisor:

Rim Hariss

Student:

Partner:

Koïos Intelligence Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services; Retail trade

University:

McGill University

Program:

Accelerate

Identification et suivi de la performance des athlètes d’excellence du baseball québécois âgés de 15-18 ans

Une étude transversale et une étude longitudinale seront réalisées pour créer des profils de performance chez les meilleurs athlètes de baseball de la province. Ces profils basés sur des données anthropométriques, physiques et psycho-physiques permettront de distinguer les athlètes les plus talentueux et d’aider à leur sélection dans le programme d’excellence de l’Académie de Baseball du Canada. De plus, ces informations contribueront à améliorer les évaluations, les programmes d’entraînement et le développement des jeunes athlètes.
Le partenariat entre l’UQTR et l’Académie de Baseball du Canada (ABC) vise donc à améliorer l’encadrement des athlètes et à évaluer leur performance à court et à long terme. Une collecte approfondie de données et la création d’une base de données seront essentielles pour ce suivi des athlètes de haut niveau au Québec.

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Faculty Supervisor:

Martin Descarreaux

Student:

Partner:

Fédération de Baseball du Québec

Discipline:

Life Sciences

Sector:

Arts, entertainment and recreation

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Kyiv at War: Frontier, Conflict, and Urban Text

The project (future monograph) will investigate representations of Kyiv in Ukrainian and Russian literatures and media of the past two decades in the broader context of the cultural history of the city and text of Kyiv in the modern epoch. I will examine how Ukrainian and Russian intellectuals, writers, and activists have conceptualized and claimed Kyiv’s history, legacy, and identity, focusing on the pivotal historical moments when these claims clashed. My work will highlight the competitive, confrontational nature of the text of Kyiv, a multicultural dynamic system of heterogeneous narratives, images, cliches that conditions the perception of a city by its own inhabitants and the outside world. In particular, I will analyze a body of popular novels set in Kyiv that reflect Ukrainian and Russian reactions to the transformations of the city and Ukraine in the twenty-first century: the development of Ukrainian democratic society through a series of mass civic movements, the modernization and commercialization of Kyiv, and the growth of Ukrainian national identity and culture as the country copes with its past colonial Soviet and Russian imperial legacies, and most recently, the Russian invasion of Ukraine and attack on Kyiv in February-March 2022.

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Faculty Supervisor:

Taras Koznarsky

Student:

Partner:

National University of Kyiv-Mohyla Academy

Discipline:

Sociology

Sector:

Information and Communications Technology; Entertainment and Media; Education

University:

University of Toronto

Program:

Globalink Research Award

Rethinking the urban-rural interface. Developing a Typology for Land Use Transitions in the Halifax Regional Municipality (HRM)

To address climate change, sustainable growth, and biodiversity loss, Halifax needs to manage growth through the sustainable development of its urban, suburban and rural communities. To better understand challenges and opportunities, research is required to support the development of a policy framework for these areas. The proposed project will identify policy options for sustainable land use management in HRM’s urban-rural interface through a series of research tasks undertaken by a team of interns, including a review of literature, jurisdictional scan, geospatial mapping, best practice review, and stakeholder workshops. The outcomes and deliverables will directly influence ongoing and future work pertaining to suburban and rural planning projects stemming from HRM’s Regional Plan Review.

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Faculty Supervisor:

Jeffrey Biggar

Student:

Partner:

Halifax Regional Municipality

Discipline:

Sociology

Sector:

Public administration

University:

Dalhousie University

Program:

Accelerate

Assessment of correlations between consumption of non-target prey items and lice cleaning efficiency of lumpfish of different sizes inside Canadian Atlantic salmon production sea cages using morphological and metabarcoding techniques.

Salmon aquaculture loses money when the salmon being farmed are infested by small parasites called “sea lice”. In Newfoundland Atlantic salmon aquaculture farms, the most common type of sea lice is the salmon louse. They can greatly reduce the number of salmon produced and cause health issues for the salmon. To manage the sea lice in cold waters, lumpfish are used because continue to eat sea lice down to 4?C. My primary goal is to see how lumpfish size affects how quickly they reduce the number of adult lice per salmon. I will also update the BOLD mtDNA database so that it includes all species that lumpfish commonly eat. I will collect lumpfish from salmon farms and use DNA barcoding and visual identification of their stomach contents to achieve my goals.

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Faculty Supervisor:

Elizabeth Boulding

Student:

Partner:

Cooke Aquaculture Inc (Saint John, NB)

Discipline:

Life Sciences

Sector:

Agriculture; Manufacturing

University:

University of Guelph

Program:

Accelerate

A Novel Design of High Temperature Ultrasonic Transducers, Manufacturing, and Testing

The project objective is to design and manufacture ultrasonic sensors capable of operating at temperatures up to 800 oC. Such transducers can be affixed to hot piping systems and pressure vessels in petrochemical plants, electrical power generating stations, and manufacturing plants. These sensors can then provide continuous information to the plant operator regarding the onset of cracks or corrosion in the pipe wall. In addition information related to fluids flowing in the pipe can also be gathered, such as flow rate, fluid temperature, turbulence. Our industrial partner Advanced Measurement and Analysis Group provides fluid-flow measurement instrumentation and consulting services to the electrical power generating industry and would like to extend its service into the petrochemical field. A key component holding such industrial expansion is the unavailability of
affordable, reliable ultrasonic sensors that can operate at the high temperatures needed for on-line instrumentation in these plants. This project directly assesses that critical area.

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Faculty Supervisor:

Anthony Sinclair

Student:

Partner:

Advanced Measurement and Analysis Group

Discipline:

Engineering

Sector:

Utilities

University:

University of Toronto

Program:

Accelerate

Analyse comparative des principaux facteurs pouvant faciliter ou réduire l’accès à des traitements pour des maladies rares dans différentes juridictions (CA, UK, NZ, AU)

La stagiaire réalisera un projet de recherche sur l’évaluation économique des traitements pour les maladies rares. L’objectif principal est de déterminer si un coût élevé par rapport aux avantages cliniques limite l’accès à ces traitements au Canada et dans d’autres pays tels que le Royaume-Uni, la Nouvelle-Zélande et l’Australie. La première étape consistera à comprendre comment ces pays définissent une maladie rare et quels critères sont utilisés pour cela. Ensuite, l’étude examinera les recommandations des agences d’évaluation des technologies de la santé pour les médicaments liés aux maladies rares depuis 2019, y compris les réductions de prix éventuelles. Enfin, elle identifiera les produits ayant reçu une recommandation positive et qui sont listés, et déterminera s’ils sont remboursés dans les pays étudiés (Canada, Royaume-Uni, Nouvelle-Zélande, Australie). L’organisation partenaire, Merck, soutiendra la stagiaire dans la collecte et l’analyse des données pour atteindre ces objectifs. Les résultats de cette recherche aideront à comprendre les défis liés à l’évaluation des traitements pour les maladies rares et à faciliter l’accès à ces traitements pour les patients canadiens.

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Faculty Supervisor:

Michelle Savoie

Student:

Partner:

Merck Canada Inc (Kirkland, QC)

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Développement d’une méthodologie d’évaluation des facteurs ESG des municipalités sans notation de crédit

Ce projet vise le développement d’une méthode d’évaluation des facteurs environnementaux, sociaux et de gouvernance (ou facteurs ESG) adaptée aux municipalités canadiennes sans notation de crédit dans le but de soutenir l’investissement responsable d’AlphaFixe Capital. Les activités envisagées comprennent l’élaboration d’une méthodologie adaptée aux spécificités locales, son essai et l’automatisation de la collecte de données à des fins de suivi annuel. Cette méthodologie se distinguera par l’intégration d’indicateurs de performance et d’initiatives développées en études urbaines aux mesures comptables habituellement utilisées par les institutions financières. L’approche considère les spécificités locales et régionales, et introduit un coefficient de proactivité pour mettre en valeur les efforts des municipalités en matière d’ESG, récompensant ainsi les initiatives au-delà de la simple performance.

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Faculty Supervisor:

Juste Rajaonson

Student:

Partner:

AlphaFixe Capital

Discipline:

Sociology

Sector:

Finance and Insurance

University:

Université du Québec à Montréal

Program:

Accelerate

Utilizing pre-trained vision models for object-centric reinforcement learning

The way humans perceive their surroundings relies heavily on some sort of decomposition of those into smaller atomized entities (objects, or parts of objects). This allows for complex reasoning and prediction capabilities which are mostly seen as mundane in humans but are still a challenge to propagate to artificial systems. My project wants to explore the advantages of incorporating this intuition about how humans perceive into a Reinforcement Learning (RL) algorithm. We will do this by employing computer vision models trained for identifying objects on large and diverse datasets, so that the general knowledge of what “objects” are is already learned and “stored” in their weights, and little to no additional training is required on our end. The segmentation these models will provide will be further “fed” into an RL agent. We hope this will be beneficial for the agents ability to “solve” the environment it’s in, be it a video game or a robot control task.

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Faculty Supervisor:

Igor Gilitschenski

Student:

Partner:

National Technical University of Ukraine

Discipline:

Computer science

Sector:

Artificial Intelligence

University:

University of Toronto

Program:

Globalink Research Award

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