Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

30156 projets achevés

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Projets par catégorie

Object Tracking for High-Speed Pick-and-Place Robot

The demand for eCommerce and online orders has risen rapidly in recent years, this drives the need for highly efficient and automated item sortation systems. Kindred AI is a technology company with the objective to bring artificial intelligence and robotic technologies into the workforce of eCommerce, parcel and order fulfillment. As a part of the effort to achieve accurate and robust robot grasping and placing tasks in such workforces, this research project aims to leverage modern machine learning and computer vision algorithms to enable safe, accurate, and fast item handling operations. In particular, the proposed research project will focus on designing and prototyping an intelligent and efficient item tracking system capable of predicting an item’s location in the near future in a robotic manipulation environment. Successes in this research will bring advancement in the partner organization’s robotic product and improve the safety and productivity in the human-robot workforce.

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Superviseur du corps professoral :

Lueder Kahrs

Étudiant :

Partenaire :

Ocado Technology

Discipline :

Computer science

Secteur :

Artificial Intelligence; Technology; Information and Communications Technology

Université :

University of Toronto

Programme :

Accelerate

Machine learning-driven molecular classification of pediatric brain tumors

Brain tumors are the leading cause of cancer-related death in childhood and are generally categorized as low-grade or high-grade. More granularly however, there can be over 100 types of brain tumors which can vary widely in both prognosis and treatment. Machine learning has increasingly been applied to classify brain tumors and other cancer types but despite the success of these algorithms in classifying adult brain tumors, performance for pediatric tumors has been suboptimal in part due to the lack of sufficient training data. With larger sample sizes now available and extensive archives of in-house pediatric molecular and clinical data, the aim is to develop methods to better classify and diagnose these pediatric brain tumors, utilizing new computational techniques to analyze and integrate diverse biological datasets. By having a better understanding of what drives these tumors and more refined classification frameworks, improvements can be made to the process of matching patients with the most effective therapeutic options.

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Superviseur du corps professoral :

Alan M. Moses

Étudiant :

Partenaire :

The Hospital for Sick Children

Discipline :

Computer science

Secteur :

Health and Related Sciences & Technology; Public administration

Université :

University of Toronto

Programme :

Accelerate

Molten metal membranes for H2 separation

Reducing green house gas emissions (GHG) from the energy and industrial sectors is crucial to meet this goal and the hydrogen economy will play a big role in accomplishing a greener and more sustainable future. Nearly 70 million tons of hydrogen are produced annually via conventional steam reforming of natural gas today. This results in over 700 million tons of carbon dioxide, which would be avoided if low carbon hydrogen were available and affordable. New thermochemical hydrogen production processes are being developed which produce significantly less GHG such as biomass gasification, methane pyrolysis, and thermal water splitting; however, all of these operate at very high temperatures and result hydrogen mixed with other gases, which need to be separated and purified. This project intends to develop molten metal membranes that can survive in these aggressive conditions and enable more efficient, low GHG, hydrogen production and purification.

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Superviseur du corps professoral :

Chester Upham;David (Chester) Upham

Étudiant :

Partenaire :

BC Research Inc.;NORAM

Discipline :

Engineering

Secteur :

Green/Alternative Energy

Université :

The University of British Columbia

Programme :

Accelerate

Integrated crop management for industrial hemp

Industrial hemp – grown for stem fibers and seeds – is a sustainable high-yielding and environmentally friendly crop with typically, low cannabinol content. Industrial hemp is used to make over 25,000 green products and have the potential to sequester between 10 and 22 t/ha of carbon dioxide emissions. However, industrial hemp productivity and quality are constrained by genotypic, climatic and management factors. Therefore, developing an integrated and innovative method can help address these concerns. In the proposed research, seed germination, plant growth and yield responses to pyroligneous acid (PA) biostimulant will be investigated followed by studies to understand PA mechanism of action. Plant growth, fiber yield and carbon sequestration capability in response to combined compound fertilizer (nitrogen-phosphorus-potassium) and compost will be evaluated. Ultimately, agronomic recommendations will boost industrial hemp fiber production and quality and thereby, creating new marketing streams and increasing revenues in the Canadian industrial hemp value chain.

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Superviseur du corps professoral :

Lord Abbey

Étudiant :

Partenaire :

Fiber Source

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

Dalhousie University

Programme :

Accelerate

Broca – a large language model to draft highly personalized preliminary radiology reports for x-rays

The proposed research project aims to develop a machine learning model that can draft preliminary radiology reports for x-rays. The project will use a large language model based on transformer neural networks to analyze x-rays and generate reports that are personalized to the reporting radiologist and based on the patient’s x-ray images. The goal is to help radiologists be more efficient and reduce the risk of burnout. By automating the repetitive and tedious task of reporting x-rays, radiologists can focus on more complex and important tasks. The end result will be a tool that can improve the quality of healthcare and make it more accessible for all patients, supporting the mission of the partner organization, 16 Bit.

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Superviseur du corps professoral :

Farzad Khalvati

Étudiant :

Partenaire :

16 Bit

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Review of the Mining Adjustments to the In-Situ Rock Mass Rating (IRMR) and their impact on cavability assessment

As the attention on mining of large orebodies by low-cost underground methods has increased, cave mining (block and panel caving) and other related methods like sub-level caving have become one of the preferred approaches. However, one of the main challenge of this method is realistic prediction of the undercut dimension at which caving will initiate and propagate. For this purpose, a good understanding of the rock mass and mining induced factors is crucial.
This research will focus on one of the most used rock mass classification systems and its adjustment factors, with the aim of reducing the subjectivity and producing a standardized guide for its application during caving assessments. The research will focus on data collection from existing projects and numerical modeling to calibrate and quantify the influence of the mining adjustments to different rock masses. This research will represent a contribution to cavability prediction for early stages of a project when the data is still limited, and mining method is under evaluation.

Voir la description complète du projet
Superviseur du corps professoral :

Davide Elmo

Étudiant :

Partenaire :

SRK Consulting (Canada) Inc.

Discipline :

Engineering

Secteur :

Mining

Université :

The University of British Columbia

Programme :

Accelerate

Enhancing Linamar’s big data analytics capability for continuous improvement in production

Digital transformation is a global trend for many industry sectors, and it is extremely important for manufacturing companies to avoid being excluded from the global digital supply chain. Linamar which operates 60 advanced manufacturing facilities worldwide, as a leader in manufacturing solutions, has been investing in this new trend with the ultimate goal of achieving data-informed continuous improvement in production since 2010. A large volume of machine-related big data has been collected across its global facilities using sensors and gauges. Linamar and the University of Guelph have previously formed a partnership to develop a pilot development environment that was able to extract data from Linamar’s distributed database and conduct some preliminary analysis such as machine utilization and production constraints. However, there are several challenges that need to be further addressed to fully maximize the value of such industry data, including inconsistency in data description, lack of data quality governing scheme, deficiency in machine performance metrics, and low efficiency in data analysis. As such, this proposed project will build on the pilot development environment and enrich its functionality by focusing on improving data quality and enhancing data analytic capacity.

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Superviseur du corps professoral :

Sheng Yang;Ayesha Ali

Étudiant :

Partenaire :

Linamar Innovation Hub Inc.

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Guelph

Programme :

Business Strategy Internship

Documenting Innovations in Access: Creating an Anthology of Access in the Arts

The Access Anthology Project is a collaboration between two non-profit Artist Run Centres (ARCs) located in Toronto, ON, Tangled Art + Disability and Gallery TPW. Commissioned by Gallery TPW in 2022, the Access Anthology will document the access practices of Tangled Art + Disability through a collection of interviews, roundtables, and essays contributed by artists, arts administrators, and other collaborators who have worked with Tangled, reflecting on their experiences of access in the arts. The purpose of the Anthology is to share Tangled’s access practices as a leading disability arts organization in Canada with other ARCs, arts administrators, and artists seeking to develop their own protocols and practices around access in the arts. This project will create new intellectual property for the partner organization through the publication of the Access Anthology, increase the capacity for access in the arts and encourage organizational innovation for ARCs by creating a publication detailing some possible best practices for engaging with access in the arts, and increase Tangled Art + Disability’s community partnerships with other arts organizations such as their partner organization Gallery TPW and along with leading to other future collaborations that may emerge from the publication and dissemination of the Anthology.

Voir la description complète du projet
Superviseur du corps professoral :

Esther Ignagni

Étudiant :

Partenaire :

Tangled Art + Disability

Discipline :

Sociology

Secteur :

Arts, entertainment and recreation

Université :

Toronto Metropolitan University

Programme :

Business Strategy Internship

Mise en œuvre de la Stratégie québécoise d’économie d’eau potable

Le projet de recherche proposé qu’entreprendra Montasser Gargouri s’inscrit dans la Stratégie d’économie d’eau potable dont la mise en œuvre des projets porteurs au Québec se fait par la collaboration de Réseau Environnement et du Ministère des Affaires municipales (MAMH). Ce projet de recherche se divise en 3 livrables distincts répartis au cours de deux stages consécutifs de 4 mois (de mai à décembre 2023). Ces mandats constituent tout d’abord, en la réalisation d’un guide et d’un one pager pour les compteurs d’eau adressés aux municipalités, puis la gestion de la traduction du manuel M36 de l’AWWA (American Water Works Association), une documentation scientifique portant sur la gestion de la consommation en eau potable, et enfin la mise en place d’outils pour l’installation des compteurs d’eau et leur tarification pour les municipalités.

Voir la description complète du projet
Superviseur du corps professoral :

Gabriel J Assaf

Étudiant :

Partenaire :

Réseau Environnement

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

École de technologie supérieure

Programme :

Business Strategy Internship

Marketing & Investment Readiness Support – University of Calgary

Propel Impact will be working with Mitacs interns across two universities to support social innovation and impact investing organizations in Canada.

Voir la description complète du projet
Superviseur du corps professoral :

Joelle Welling

Étudiant :

Partenaire :

Propel Impact

Discipline :

Business

Secteur :

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

Université :

University of Calgary

Programme :

Business Strategy Internship

Développement et validation de tests pour mesurer la relation force-vitesse chez les golfeurs et golfeuses

Ce projet développera des méthodes d’évaluation spécifiques à l’élan de golf en plus de définir les déterminants biomécaniques liés à la performance. Ce projet permettra d’identifier la modalité d’évaluation de choix pour quantifier la performance en golf. De plus, le projet évaluera l’efficacité d’un plan d’entrainement personnalisé en fonction de la relation force-vitesse de chaque athlète afin de rehausser les performances d’athlètes en golf. L’Académie de golf Fred Colgan pourrait établir des lignes directrices en matière d’évaluation des capacités physiques de golfeurs grâce, entre autres, aux méthodes d’évaluation choisies et à la technologie et l’équipement accessibles. Le projet permettra à l’Académie de rehausser ses services offerts en termes de préparation physique, ce qui sera bénéfique pour le développement à long terme des athlètes.

Voir la description complète du projet
Superviseur du corps professoral :

Martin Simoneau

Étudiant :

Partenaire :

Académie de golf Fred Colgan

Discipline :

Life Sciences

Secteur :

Arts, entertainment and recreation

Université :

Université Laval

Programme :

Accelerate

Developing an Equity Assessment Tool for Municipal Leadership

Cities are increasingly being asked to attend to equity considerations in their decision-making processes. While some cities have adopted overarching frameworks aimed at embedding equity into the work of municipalities, there remains a gap in applying or operationalizing equity, especially in public-facing decision-making. Building on advocacy work conducted by local NGO Women Transforming Cities, the proposed research seeks to collect and analyze existing tools aimed at moving municipal equity commitments from statements to actions, and use these tools to develop an implementable evaluation tool from the City of Vancouver’s Equity Framework. Targeted at City leaders, the prototype tool would help decision-makers effectively consider the impact their policies and motions have on equity-deserving groups. It would also be a step toward holding elected officials accountable to the equity work they committed to during their election campaigns.

Voir la description complète du projet
Superviseur du corps professoral :

Tiffany Muller Myrdahl

Étudiant :

Partenaire :

Women Transforming Cities

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

Simon Fraser University

Programme :

Accelerate

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