Innovative Projects Realized

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

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

Utilisation d’un système d’aide à la décision pour soutenir les politiques décisionnelles de pilotes experts

Le développement de modèles sur le comportement humain est extrêmement complexe en raison, entre autres, de la difficulté à exprimer certaines connaissances acquises par l’expérience. Cognitive Shadow est un outil capable de capturer ces connaissances pour élaborer des modèles à travers de l’observation de la prise de décision des experts sans avoir à exprimer leurs connaissances. Cet outil peut ensuite être utilisé pour prévenir les utilisateurs d’écarts par rapport aux modèles et leur suggérer une alternative en leur donnant la possibilité de réévaluer la décision. Dans la recherche d’une augmentation de la sécurité du transport aérien et de l’adaptation de l’industrie aux défis de l’avenir, cette étude vise à développer des modèles du processus de prise de décisions des pilotes et des facteurs qui les influencent et à évaluer l’impact de l’introduction de cet outil dans la cabine.

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Faculty Supervisor:

Sebastien Tremblay

Student:

Partner:

Thales Canada Inc

Discipline:

Sociology

Sector:

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

University:

Université Laval

Program:

Accelerate

Regulating Geothermal Energy in Alberta

In Alberta geothermal resources exist that companies want to exploit for power and direct heat. Currently, there is no licensing and permitting process that allows these companies to exploit the existing geothermal resources. The aim of this project is to explore means through which legislative amendments or new legislation could facilitate and enable a licensing/permitting the process (Thus, allowing the industry to develop). Prior to making any conclusions about suggested legislative changes the aim is to first look at the overall context existing in Alberta i.e. where the resource is, the quality of the resource and the technology that can be used to make use of the resource

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Faculty Supervisor:

Allan Ingelson

Student:

Partner:

The Canadian Geothermal Energy Association

Discipline:

Sociology

Sector:

Utilities

University:

University of Calgary

Program:

Accelerate

Analysis of proteome dynamics in single cell reprogramming proceeds – Year two

The ability to revert human cells back into a stem cell state, and then reprogram them into new cell fates has unlocked promise for future regenerative therapies. However, we still do not fully understand this reprogramming process and the interaction of proteins that make this happen. Mass spectrometry (or MS; a common technique to study molecules using a mass-to-charge ratio) may allow us to identify these unknowns but would require the collection of a large number of cells undergoing identical stages of reprogramming – a feat that is not experimentally practical or feasible. Additionally, these analyses can only be performed on the collection of cells as a whole, thereby identifying average characteristics, rather than studying each cell individually. To address these challenges, we have developed a cutting-edge platform called DISCO (Digital microfluidic Isolation of Single Cells for -Omics) that permits us to perform single-cell analysis on the proteins within a cell. In this project, we will partner with SCIEX, an Ontario-based leader in MS technology solutions, to further develop the technological capabilities of single-cell analysis.

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Faculty Supervisor:

Aaron Wheeler

Student:

Partner:

SCIEX

Discipline:

Physics

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Toronto

Program:

Elevate

Analysis of proteome dynamics in single cell reprogramming proceeds

The ability to revert human cells back into a stem cell state, and then reprogram them into new cell fates has unlocked promise for future regenerative therapies. However, we still do not fully understand this reprogramming process and the interaction of proteins that make this happen. Mass spectrometry (or MS; a common technique to study molecules using a mass-to-charge ratio) may allow us to identify these unknowns but would require the collection of a large number of cells undergoing identical stages of reprogramming – a feat that is not experimentally practical or feasible. Additionally, these analyses can only be performed on the collection of cells as a whole, thereby identifying average characteristics, rather than studying each cell individually. To address these challenges, we have developed a cutting-edge platform called DISCO (Digital microfluidic Isolation of Single Cells for -Omics) that permits us to perform single-cell analysis on the proteins within a cell. In this project, we will partner with SCIEX, an Ontario-based leader in MS technology solutions, to further develop the technological capabilities of single-cell analysis.

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Faculty Supervisor:

Aaron Wheeler

Student:

Partner:

SCIEX

Discipline:

Physics

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Toronto

Program:

Elevate

AI Shading – An energy efficient Smart Blind technology

Increased energy consumption across the world for heating and cooling indoor living spaces has been a major contributor to global greenhouse gas production. As per 2015 statistics, buildings account for 76% of global electricity consumption and approx. 35% of that energy consumption is for air conditioning, heating, and ventilation. To combat climate change it is imperative to reduce our power consumption. To address this problem we are collaborating with 26 Celsius to build an automatic smart blind technology trademarked “AI Shading” capable of autonomously deciding when to open and close the blinds to promote maximum energy efficiency. AI Shading has the potential to cut down energy consumption for ventilation and air conditioning significantly during the peak energy demand times using the position of the sun, outside temperature, elevation of the window from the ground to decide when to open and close the blinds to keep the house warm or cool.

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Faculty Supervisor:

Eleni Stroulia

Student:

Partner:

26 Celsius

Discipline:

Computer science

Sector:

Manufacturing

University:

University of Alberta

Program:

Accelerate

Deep Learning with Big Data for Innovation Acceleration

XLScout uses Natural Language Processing (NLP), Machine Learning (ML), and Innovation/Scientific principles to deliver actionable intelligence and accelerate innovation by analyzing large patent and research databases. The company is eliminating the pain of manually going through document and quickly providing relevant information to support data-driven strategic decisions. Presently XLScout hosts a data vault of over 130 million patents and 200+ million research publications occupying approximately 8TB of storage. Effectively searching these documents is time-consuming and it commonly requires advanced strategies that a novice searcher may not be familiar with. This project will develop NLP-base solutions to better understand user’s queries, extract and aggregate semantically relevant patent and research data. To assist with navigation through a massive patent landscape, the patents will be classified into automatically created or user-specified categories. Furthermore, the company seeks to provide a sc

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Faculty Supervisor:

Katarina Grolinger;Kalpdrum Passi;Babatunde Giwa

Student:

Partner:

XLSCOUT

Discipline:

Life Sciences

Sector:

Information and cultural industries

University:

Laurentian University; Loyalist College; The University of Western Ontario

Program:

Accelerate

Targeting a complement serine protease in vascular disease

In spite of major advances in our knowledge and better treatments, heart attacks, strokes and blood clots in the legs and lungs, continue to major causes of disability and death. Recent studies reveal that a protein (a so-called “serine protease”) in our blood, when increased, may heighten the risk of excess blood clot formation in our blood vessels. Our studies are designed to determine how this protein works, and if by blocking its activity, we can prevent excess blood clotting. Our research program may uncover a more effective way to prevent blood vessel disease.

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Faculty Supervisor:

Edward Conway;Edward Pryzdial

Student:

Partner:

Oak Bay Biosciences

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Decision making with ontologies and measures of diagnosticity

Mineral exploration and natural disaster risk reduction involve reasoning with uncertainty about complex descriptions of parts of the Earth. Such complex reasoning is traditionally carried out by human experts who, through years of training and field experience, develop specific knowledge and are able to take the right decision at the right time. This project will advance the previous work to build computer models and tools that assist human in these decision making processes.

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Faculty Supervisor:

David Poole

Student:

Partner:

Minerva Intelligence Canada Ltd

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Variables that affect quality of lime slurryproduced in lime slaking reaction

Lime is an inorganic compound also known as Calcium Oxide. It is used as a coagulant (charged solid that helps remove smaller particles from water). It is also used as an acid neutralizer. The purpose of this research project is to quantify the use of lime for lime slurries and lime slaking applications. A lab test for lime slurry reactivity will be developed as a part of this project. Compounds affecting the slaking reaction and rate will also be examined and quantified. The main objective is to determine if slaking temperature can improve the chemical properties and reactivity of lime. The expectation is that the required amount will be less than what is currently used. Being able to communicate with industrial users the quantity of lime required will allow users to reduce their consumption of lime which will save money. Indirectly, industrial users will also reduce their carbon footprint because less lime will need to be transported.

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Faculty Supervisor:

Bern Klein

Student:

Partner:

STT Enviro Corp

Discipline:

Engineering

Sector:

Environmental Science and Technology; Manufacturing and Construction; Mining

University:

The University of British Columbia

Program:

Accelerate

Development of carbon storage technology for peatlands using microbial decomposition mechanisms

The goal of this study is to identify mechanisms of microbial decomposition activity over the restoration periods of peatlands, which play an important role in carbon storage, thereby contributing to improvement of development of ‘carbon neutral technologies’ and incomplete ‘global carbon budget’. Real-time qPCR will be used to quantify the abundance of 16S rRNA (Bacteria), ITS (Fungi), mcrA (methanogen), and pmoA (methanotroph) genes involved in the methane cycle and NGS will be performed using Illumina MiSeq. Through this project, the results will provide an efficient restoration strategy of peatlands and contribute to the carbon neutrality. Second, this project will provide new scientific information to improve incomplete global carbon budget by identifying mechanisms of microbiological decomposition by restoration of peatlands, which was not previously unknown. Third, this project will raise awareness of the importance of restoration of peatlands which can have a significant impact on climate change from a social perspective.

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Faculty Supervisor:

Line Rochefort

Student:

Partner:

Yonsei University

Discipline:

Earth science

Sector:

Education

University:

Université Laval

Program:

Globalink Research Award

Learning to Predict Grasp Outcomes

With the growing importance of ecommerce, automated warehousing has gained much interest. A crucial component of such system is a robotic arm or a similar device that allows to grasp, pick up and sort items with complex shapes and in cluttered conditions. We will be working on improving such system, so that online delivery can be more efficient.

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Faculty Supervisor:

Animesh Garg

Student:

Partner:

Kindred Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Commotions cérébrales dans le Sport : Plateforme de sensibilisation et d’accompagnement

Le projet de recherche vise le développement d’une nouvelle technologie permettant de sensibiliser les équipes de sport amateur aux commotions cérébrales et de fournir des outils d’information et d’accompagnement à l’entourage des joueurs (parents, enseignants, entraîneurs). Ces outils permettront ainsi à différents acteurs de jouer un rôle actif dans la reconnaissance et le suivi de cette blessure sportive pouvant avoir des conséquences importantes à court et à moyen terme. Les équipes qui disposent de cette nouvelle technologie seront ainsi mieux équipés afin d’agir correctement sur-le-champ, ce qui permettra de diminuer l’impact des commotions cérébrales en milieu sportif et d’optimiser le bien-être et la sécurité des athlètes.

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Faculty Supervisor:

Sebastien Tremblay;François Vachon

Student:

Partner:

MonClubSportif;Kick Technologies

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.