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

Correlation of the data from automated core characterization, including mineralogical characterization, with geoenvironmental laboratory tests using artificial intelligence (AI) methods

The main objective of this project is a comprehensive methodology that combines automated core characterization and AI methods to accurately forecast the geoenvironmental parameters of a deposit. By developing predictive models, this approach will enable the creation of a 3D geoenvironmental block model for the targeted deposit. This model will facilitate the prediction and optimization of future plant performance and the management of mine waste. Therefore, It will not only improve the efficiency and environmental performance of the industrial partner but will also be cost saving. In addition, the canadian community will be benefit from this research in term of economic development, environmental protection, innovation and education.

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Faculty Supervisor:

BenoÎt Plante

Student:

Partner:

Agnico Eagle Mines Limited

Discipline:

Engineering

Sector:

Mining

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Elevate

Novel high-performance opto-chromic sensing technology for visible detection of hydrogen leaks in pipelines and storage

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

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Faculty Supervisor:

Alison Thompson

Student:

Partner:

Net Zero Atlantic

Discipline:

Physics

Sector:

Clean Technology; Environmental Science and Technology; Sustainability & the Environment

University:

Dalhousie University

Program:

Accelerate

Project FURTHER: Physiological determinants of female ultra-endurance running

Very little research has explored ultra-endurance running, particularly in females (15% of tested subjects). We therefore have a very limited understanding about human performance, and specifically female physiology, with
ultra-distances >350 km. Lululemon Athletica inc. has sponsored an initiative ‘Project FURTHER’ whereby ten females will attempt to run as far as possible within a 6-day ultramarathon. This multi-disciplinary research study
will be performed prior to, during, and immediately following the FURTHER ultramarathon event. Research Question: ‘What are the physiological determinants of female ultra-endurance running?’ Objectives: 1) further
describe the limits of human ultra-endurance performance and the physiological responses related to this physical stress; in particular, to address the sex/gender gap in physiology research by investigating females with a diverse
range of athletic expertise; 2) address the following research question: do female ultra-runners have superior fatigue resistance than male ultra-runners – and is female physiology uniquely suited for ultramarathon?

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Faculty Supervisor:

Philip Ainslie;Jamie Burr;Alexandra M. Coates;Chris McNeil;Sarah Purcell;Neil Eves

Student:

Partner:

Lululemon

Discipline:

Life Sciences

Sector:

Manufacturing; Retail trade

University:

Simon Fraser University; The University of British Columbia - Okanagan; University of Guelph

Program:

Accelerate

Vers une théorisation de la coopération comme fondement des stratégies de prévention en santé au travail. Discussion des résultats dans le cadre de la clinique du travail

Ce stage s’inscrit dans le cadre d’un projet de thèse doctorale visant à théoriser la coopération au travail en analysant les processus organisationnels favorisant le développement du pouvoir d’agir collectif des enseignants et enseignantes, en encourageant leur participation active à l’amélioration de l’organisation du travail. Son objectif est également de consolider la pertinence de cette théorie en tant que base pour les stratégies de prévention en santé mentale au sein du milieu éducatif. La proposition de ce stage doctoral au Conservatoire des arts et métiers vise à enrichir notre élaboration théorique en élargissant la discussion de nos résultats de recherche avec des chercheurs et chercheuses experts dans les développements théoriques mentionnés.

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Faculty Supervisor:

Simon Viviers

Student:

Partner:

Conservatoire National des Arts et Métiers

Discipline:

Sociology

Sector:

Education

University:

Université Laval

Program:

Globalink Research Award

Redefining Agri trends for a better future

BC potato industry is facing a burning problem of finding low value for its second grade potatoes. The sponsor, Heppells Potato Corp, being the largest producer of potatoes in BC is facing the same problem of finding optimized value for its second grade potatoes. Currently these potatoes are just culled. But the market value of these potatoes is equivalent to 10 – 20% of the whole farm’s revenue. Hence they are exploring other options to process and commercialize these potatoes. These options should not affect the current stakeholders of Heppell’s potato Corp and disturb its current revenue channel. The outcomes of this project can also be used to help other similar farmers in BC. The project is mainly focused to assist the industry and not just the sponsor.
The topics focused in the project are:
? New product development,
? Brand development of farmers owned product and distribution channels.
? Establish a social media framework for the farms to help them focus on B2B and B2C connections.
? Renewable bio energy from agriculture wastes.

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Faculty Supervisor:

Paul Cubbon

Student:

Partner:

Heppells Potato Corp

Discipline:

Business

Sector:

Agriculture

University:

The University of British Columbia

Program:

Accelerate

The effect of a 16-week intervention of increased Greek yogurt consumption on circulating markers of bone metabolism and inflammation in youth and young adult athletes

Physical activity and dairy intake during growth and development are each known to improve peak bone mass. Peak bone mass, the maximum amount of bone a person will have in their lifetime, is typically reached in the early 20’s in females and late 20’s in males. However, evidence suggests that young people do not consume enough dairy to maximize their bone mass, which can be particularlytroublesomefor young athletes. This study aims to examine whether Greek yogurt consumption will lead to beneficial changes in bone metabolism and inflammation, in adolescent and young adult, male and female athletes, similar to those observed with whey protein supplementation. Many athletes choose exclusively protein supplementation and miss out on other nutrients vital for healthy growth and development.
The results can help reshape the attitudes, beliefs, and behaviours surrounding dietin this population.

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Faculty Supervisor:

Panagiota Klentrou

Student:

Partner:

Dairy Farmers of Canada

Discipline:

Life Sciences

Sector:

Agriculture; Information and cultural industries

University:

Brock University

Program:

Accelerate

Harnessing Copper from Algal Blooms

With the increasing demand to feed the growing population, agriculture in Southern Ontario remains important, but the reliance on fertilizers has led to many environmental problems in aquatic systems. Annual algae blooms occur every summer in Lake Erie as warm temperatures and a supply of nutrients from agriculture fields wash into these lakes. As algae grow, so does their need for trace metals, like copper. In this project between Brock University and Destiny Copper, we propose collecting algae during blooms and utilizing blooms as a source of copper that can be used for electronic and construction industries. During this time, the intern will assess how much copper can be accumulated in lab-grown algae to serve as a baseline, develop extraction methods that allow us to remove as much copper from within biofilms, and optimize Destiny Copper’s extraction method to further expand potential sources of copper from the environment.

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Faculty Supervisor:

Vaughn Mangal

Student:

Partner:

Destiny Copper

Discipline:

Earth science

Sector:

Manufacturing

University:

Brock University

Program:

Accelerate

Transductive open-vocabulary segmentation

Modern deep neural networks have demonstrated remarkable performance across various visual recognition tasks, including image classification and semantic segmentation. The effectiveness of these networks largely relies on having abundant labeled examples for each desired category. Acquiring such datasets, however, poses particular challenges in the context of semantic segmentation, where a label is required for each pixel in every image. Furthermore, while datasets fulfilling this requirement do exist in practice, they often come with a set of limited pre-defined categories. This means that if a novel category has to be recognized, annotating numerous new images and potentially re-annotating existing ones is required, which presents obvious practical challenges that impede the scalability of these models in these real-world scenarios.
To address this limitation, several learning paradigms have emerged in recent years. A challenging and practical scenario is zero-shot semantic segmentation, also referred to as open-vocabulary segmentation, where no pixel- labeled samples for each novel category are available at all. To overcome the total lack of pixel-wise information, zero-shot approaches incorporate knowledge about unseen classes from other available sources, for example in the form of text descriptions.

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Faculty Supervisor:

Jose Dolz

Student:

Partner:

Thales Recherche et Technologie

Discipline:

Engineering

Sector:

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

University:

École de technologie supérieure

Program:

Accelerate

Duesytech Online Extension

This project aims to enable Duesytech Online to provide services to match a customer’s technology service needs with the technologist or technician (tech) who is best equipped to provide that service. This matching is achieved through Machine Learning (ML) algorithms that are applied to find the best match given all the criteria set by the customer. The customer-tech match system will be integrated with an online store, where customers can buy deeply discounted consumer goods and technology supplies. There are several significant challenges in this area, such as discovering and maturing ML algorithms to match customers’ needs for technology services with techs, the sparse nature of the current data set, and testing ML algorithms against large sets of data. This project will implement technological advances in the area of ML technologies to overcome some of these difficulties.
The results of the proposed research will mature Duesytech to provide customers with more robust tech match service as well as enhanced the virtual mall shopping experience.

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Faculty Supervisor:

Terry Peckham;George Ding

Student:

Partner:

Audio Concepts

Discipline:

Computer science

Sector:

Retail trade

University:

Saskatchewan Polytechnic

Program:

Accelerate

Fabrication of Microrobots Using Digital Microarray Devices

In this project, we aim to investigate the applicability of a digital micromirror device (DMD) combined with microfluidic devices for the fabrication of complex 3D constructs at a micron scale. The fabricated constructs will be used as microrobots for biomedical applications.

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Faculty Supervisor:

Hamed Shahsavan

Student:

Partner:

University of Barcelona

Discipline:

Engineering

Sector:

Education

University:

University of Waterloo

Program:

Globalink Research Award

Genome-wide Sequencing: Secondary Findings Impact Study

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

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Faculty Supervisor:

Joseph Ferenbok

Student:

Partner:

The Hospital for Sick Children

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Public administration

University:

University of Toronto

Program:

Accelerate

Ultra-compact GaN based integrated industrial drive for PCB stator motors

PCB stator motors are an emerging research area with cost and efficiency benefits compared to traditional motors. PCB stator motors with integrated variable frequency drives have the potential for significant power density improvements if Galium Nitride (GaN) power semiconductors are used in the drive. In this project, emerging high voltage GaN semiconductors will be used to develop a high-power density variable frequency drive compatible with 480 V grid-connected industrial applications. This drive will provide Celestica with a market-leading integrated motor drive product in fields such as pumps and air conditioners.

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Faculty Supervisor:

Peter W. Lehn

Student:

Partner:

Celestica

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

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