Innovative Projects Realized

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

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

The potential for ground mustard seed to improve the environment in the farrowing room for sows and piglets

Mustard is grown throughout Western Canada, primarily for use as a condiment. However, mustard growers are seeking other uses for this crop. Of interest is the potential of ground mustard as an anti-microbial. Mustard contains a compound called glucosinolate, which under the right conditions can be converted to isothiocyanate, a proven anti-microbial. This study will determine if rubbing a small amount of ground mustard on the skin of baby piglets, or placed in the sows’ environment, will reduce the environmental pathogen load those piglets are exposed to. This will be accomplished by adding the ground mustard to potato starch which is currently used to dry the piglets shortly after birth. Results may indicate new markets and uses for ground mustard while aiding pork producers with a new strategy to keep their piglets healthy.

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Faculty Supervisor:

Denise Beaulieu

Student:

Partner:

Mustard 21 Canada Inc;Prairie Swine Centre Inc

Discipline:

Life Sciences

Sector:

Agriculture

University:

University of Saskatchewan

Program:

Accelerate

Investments in social housing in Nunavut and Nunavik: impacts on the mental well-being of Inuit families

Mon projet de thèse s’intéresse aux impacts d’investissements dans le logement social sur la santé mentale de familles inuites. Il a été développé en partenariat avec plusieurs organisations inuites du Nunavut et du Nunavik qui ont identifié les conditions de logement comme étant un levier majeur pour l’amélioration des conditions de vie et de santé dans les communautés inuites. Les organisations partenaires utiliseront les résultats dans les négociations de politiques publiques touchant l’amélioration des conditions de logement dans leurs régions.
Pendant mon séjour en Nouvelle-Zélande, je désire rédiger mon 2e article de thèse avec l’équipe de la Pre Howden-Chapman. Cette dernière explore des questions de recherche semblables, en plus de collaborer avec plusieurs organisations autochtones (Maories). Son équipe offre également un soutien pour des analyses biostatistiques avancées.

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Faculty Supervisor:

Louise Potvin

Student:

Partner:

University of Otago (Wellington)

Discipline:

Sociology

Sector:

Aboriginal Affairs; Health and Related Sciences & Technology; Public Service, Policy, and Governance

University:

Université de Montréal

Program:

Globalink Research Award

Evaluation of biological-based source control methods for preventing constituent release from mine wastes

Mine waste rock drainage is one of the most challenging and lasting global environmental issues facing the entire mining industry, regulatory agencies and society as a whole. Mine drainage can be alkaline, neutral, moderately or extremely acidic and contains significant levels of sulfate, dissolved iron, and frequently a variety of heavy metals and metalloids. As opposed to water treatment, the preferable long-term option, even though challenging, is to prevent the release of these constituents from the mine waste, which is referred to as source control. Microorganisms are one of the causes and can also be the cure of the problem of mine water pollution. The proposed research aims at evaluating all available biological-based methods that have been developed for controlling constituent release at the source, based on which recommendations will be made to the partner company on suitable techniques to move forward with developing and testing. In this research, we will build a database that captures existing information on all biological-based source control methods developed by academia, mining companies, and governmental agencies. The information will be collected from journal articles, conference proceedings, government reports, etc.

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Faculty Supervisor:

Wenying Liu;Susan Baldwin

Student:

Partner:

Teck Resources Ltd

Discipline:

Engineering

Sector:

Natural Resources; Mining; Water

University:

The University of British Columbia

Program:

Elevate

The environmental and climatic conditions of the first Anatomically Modern Humans dispersals into Western Europe

In an atmosphere of dwindling research funding availability, making sure that the limited money is wisely invested is of critical importance. In our study, we propose to investigate how applied research has been funded in NB over the last decade, and how this funding has impacted economic growths. This study will attempt to make a link between applied research and creation of start-ups and spinouts, with the objective to determine what kind of research funding, at what stage in the research continuum, has the greatest economic impact. This will directly benefit the NBIF and other funding agencies by allowing them to target their funding programs and thus maximising the benefit for New Brunswick.

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Faculty Supervisor:

Ariane Burke

Student:

Partner:

Friedrich-Alexander-Universität Erlangen-Nürnberg

Discipline:

Sociology

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Les meilleures pratiques d’accompagnement entrepreneurial entre un incubateur et des start-up

Les start-up sont des entreprises émergentes qui contribuent positivement au développement socio-économique de la société. Les entrepreneurs à la tête de ces entreprises cherchent souvent un accompagnement entrepreneurial offert par des organismes nommés incubateurs. Des différences de perceptions entre ces deux parties freinent la mise en place d’une relation collaborative à long terme. Cette recherche vise à comprendre ces différentes perceptions et permettre leur arrimage afin que l’accompagnement offert soit mieux ciblé et permette la collaboration à long terme. Les résultats de cette recherche permettront aux incubateurs de mieux accompagner les start-up, rendant ces dernières plus compétitives sur les marchés et créant ainsi des emplois localement.

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Faculty Supervisor:

Julie Bérubé

Student:

Partner:

Centre de recherche en technologies langagières

Discipline:

Business

Sector:

Administrative and support, waste management and remediation services; Professional, scientific and technical services

University:

Université du Québec en Outaouais

Program:

Accelerate

Intelligent control of space cameras

The intelligent control of space cameras project is concerned with development of the next generation of space cameras. Currently, there is a large gap between the onboard capabilities of standard commercial cameras and those currently in space (examples include image resolution, onboard storage, advanced scene understanding and exposure control). Closing this gap for space camera systems will provide higher quality images in general and allow the cameras to operate under a wider range of conditions and correspondingly improve their utility for a variety of different scenarios (from applications in space servicing, rover navigation all the way to direct interpretation of images for scientific agendas). The specific objective of this research project is to characterize and prototype technologies that currently are in use in commercial cameras that might be incorporated into next generation of space cameras.

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Faculty Supervisor:

Richard Wildes

Student:

Partner:

MDA

Discipline:

Computer science

Sector:

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

University:

York University

Program:

Accelerate

Sensor Development and System Intelligence for Smart Hive and Apiary Management

Honeybees play a significant role in the Canadian economy for pollinating crops and producing honey. One third of our food comes from the crops and vegetables benefiting by pollination from bees. Around the world, honeybees are facing significant challenges, and this has led to increased costs of production for food products. This research project will develop technologies for the monitoring and management of apiaries. Smart Frames are a main focus, and will enable the monitoring of hive conditions at specific locations within hive boxes, and will offer to control temperature locally on each frame. Local thermal control will be explored to supplement regulation of hive temperature, and as a method of varroa mite control. An intelligent software platform will be developed that will incorporate and analyze hive sensor data. These technologies represent a strategic technology effort for both of our industry partners Function Four and Durston Honey Farms, who will collaborate closely on the technology development and its application in a commercial apiary.

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Faculty Supervisor:

Cyrus Shafai;Robert Currie

Student:

Partner:

Function Four Ltd;Myera Nu-Agri-Nomics Group Canada Inc

Discipline:

Engineering

Sector:

Agriculture

University:

University of Manitoba

Program:

Accelerate

Predictive Analytics for Charitable giving

Machine learning in the charitable sector is only beginning to be used successfully. Fundmetric Inc has applied various machine learning algorithms to predict donor behaviour, such as who will become a major ($10,000+) donor and which lapsed donors will return if stewarded correctly. There is ample opportunity for research in this domain, including building a super model across various charities, investigating feature synthesis and importance, applying deep learning to make use of the rich temporal data concerning donations, and learning to sequence email appeals. We plan to investigate the application and creation of various machine learning techniques to these and other pressing charitable issues in order to both help the charitable sector be more effective in raising funds and help advance the field of machine learning.

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Faculty Supervisor:

Daniel Silver;Greg Lee

Student:

Partner:

Fundmetric Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Acadia University

Program:

Accelerate

Connections Design in New Double Wythe Insulated Wall Panel Containing Ultra-High Performance Concrete (UHPC)

Ultra-high-performance concrete (UHPC) double wythe panels are commonly used in building envelopes, however, the connections between panels have not been investigated properly. Several design connections will be designed and tested in association with the industrial partner to determine the feasibility of the designs. The project will investigate the structural behaviour and strength of different connections through experimental means. The connections of UHPC double wythe panels will be tested under various conditions to gather data in order to establish the efficiency of the panel connections. A parametric and analytical study will also be conducted to aid in producing design equations. This project will aid the industrial partner to promote the use of UHPC double wythe panels in the precast industry and establish a completed design guideline to benefit the construction sector.

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Faculty Supervisor:

Amir Fam

Student:

Partner:

Canadian Precast/Prestressed Concrete Institute;Queen's University

Discipline:

Engineering

Sector:

Construction; Sustainability & the Environment; Other

University:

Queen's University

Program:

Accelerate

Development of Fiber-based Entangled Photon Pairs Sources

Quantum entanglement is a fundamental resource in quantum applications. Optical fiber lays the foundations of infrastructure in metropolitan telecommunication system nowadays. The union of these two might lead to the next generation of practical quantum technology. Periodically poled silica fiber (PPSF) has been demonstrated to be ideal candidate as a source of polarization entangled photon pairs. A PPSF-based entangled photon pairs source is highly robust, compact, and compatible with the existing fiber network, thus it is crucial to the implementation practical quantum communication, sensing and computing. This project aims at further development on the PPSF-based entangled photon sources. By combining the knowledge of making PPSF from University of Southampton and the quantum specialty from University of Toronto, I plan to investigate the fabrication of PPSF that is able to generate ultrabroadband entangled photons and apply it to practical fiber quantum sensing and quantum communication. This project will contribute to the construction of quantum network in Canada.

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Faculty Supervisor:

Li Qian

Student:

Partner:

University of Southampton

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Evaluation of Pneumatic Massage in Automotive Seating

This study aims to validate whether a new pneumatic massage system has a physical benefit to drivers. Using two seating conditions (massage and no massage), this study will examine the effects during a one-hour simulated seating task for each condition on separate days. The researchers will measure participant discomfort, low back muscle blood flow/oxygenation, heart rate, and blood pressure. Data for these measures will be collected and analyzed in order to determine if a relationship exists between seating condition and any other variable. An exit survey will be administered after the second trial to record the participant’s preferred seat condition. The massage system is being manufactured by the partner organization with an automotive industry partner. This evaluation of the massage system will provide the partner organization with information that will allow them to satisfy customer demands.

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Faculty Supervisor:

David Andrews

Student:

Partner:

Schukra of North America Ltd

Discipline:

Life Sciences

Sector:

Manufacturing; Transportation and warehousing

University:

University of Windsor

Program:

Accelerate

Hybrid and multi-device quantum machine learning models

Over the past 2-3 years, commercial quantum computing hardware has begun to come online. While emerging quantum processing devices (QPUs) are still small and noisy compared to ideal quantum hardware, they are nevertheless expected to demonstrate quantum supremacy soon. During the same period, quantum machine learning (QML) has emerged as a rapidly expanding research field, perceived as one of the most promising algorithmic paradigms for near-term quantum computers. In this project, the candidate will leverage their skills in machine learning to carry out research in QML. Specifically, the candidate will use PennyLane software to explore and understand a variety of hybrid and multi-QPU machine learning models, including generative adversarial networks, autoencoders, and parallelized models. It is important for Xanadu to identify as many use-cases for QML as can be found, and to demonstrate these with our software PennyLane.

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Faculty Supervisor:

Brian Silverman

Student:

Partner:

Xanadu

Discipline:

Computer science

Sector:

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

University:

University of Toronto

Program:

Accelerate

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