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

IC prototype for decorative fingernail-attachable flexible e-ink display communicating using NFC

AIM Colours is looking to revolutionize self-expression by combining cosmetics with technology through the creation of eCosmetics. We envision eCosmetic applications as devices that can be continuously colour-manipulated from any mobile device, creating a world where anyone can be empowered by make-up instantaneously. This project requires the seamless integration of engineering and science to ensure the development of the decorative wearable electronics field. The purpose of this project is to develop the physical prototype for the ePolish. ePolish are technology-enabled press-on nails that allow users to interact with the appearance of their nails directly from their smartphones. This revolutionary version of nail polish will allow users to save time and avoid chronic exposure to chemical solvents.

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Faculty Supervisor:

Boris Vaisband

Student:

Partner:

Technologies AIM Colours

Discipline:

Engineering

Sector:

Technology; Information and Communications Technology; Advanced Manufacturing

University:

McGill University

Program:

Accelerate

Multiscale Bat Habitat Selection and population trends at Maternity Colonies and Hibernacula in Southwestern Quebec

Bats are fascinating animals that provide many ecological services by regulating insect populations. They can eat about 600 insect per hour! Since the introduction of white-nose syndrome in 2006, bat populations in North America have become increasingly threatened. This fungal disease has caused dramatic decreases in many bat populations. Without a cure for white-nose syndrome, the protection of bats and their habitat might be the best way we can help them. However, since bats are small and nocturnal, their preferred habitats are understudied. In partnership with the Kenauk Institute, we will create a portrait of bats habitat selection at summer roosts and at winter hibernacula in Quebec. We will use citizen science data to collate information on bat population trends and map known maternity roosts and hibernacula to study the landscape surrounding them. The result will help us understand where and which species of bats live on the Kenauk Reserve and what habitat we should protect to help them. It will help land managers like the Kenauk Institute to take informed decision when managing land with known bat presence.

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Faculty Supervisor:

Kyle Elliott

Student:

Partner:

The Kenauk Institute

Discipline:

Life Sciences

Sector:

Agriculture; Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Neuroinflammation in Huntington’s Disease

Huntington’s disease (HD) is a genetic neurodegenerative disease characterized by cognitive, motor, and psychiatric disturbance ending in death 15 to 20 years after the onset of the first symptoms. The genetic predictability of HD makes it potentially the most tractable of the neurodegenerative diseases for early intervention, with the optimum time for the introduction of disease-modifying therapies being before the onset of symptoms. Despite discovering the underlying genetic mutation more than 20 years ago, treatment remains focused on symptomatic management. Given the devastating emotional costs of this disorder and the significant financial burden, these individuals impose upon society, developing a treatment regime for HD is a recognized priority. To treat a disease, it is necessary to understand the mechanisms behind the symptoms. So, in this project, we will investigate the role of inflammation in HD neuropathology.

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Faculty Supervisor:

Sebastien Talbot

Student:

Partner:

Universidade Federal de Santa Catarina

Discipline:

Life Sciences

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Financial Analysis of Digital Assets: Inter-relationship with traditional assets and improving digit asset modeling over traditional financial assets

In May 2021, the total market capitalization of digital assets such as cryptocurrencies and Non-Fungible Tokens (NFTs) exceeded $2.4 Trillion (USD), tripling in the past 3 years. Yet, digital assets are widely misunderstood even by experienced investors, primarily because the technologies empowering digital assets are new and are rapidly evolving. Hence, scientific approach to understanding digital assets is necessary, given their increasingly significant role in financial markets. The primary goals of this project are (a) to help bridge the gap between the analysis of traditional financial market and the rapidly evolving world of digital assets; (b) to create tangible and intangible measures of value for digital tokens; and (c) to examine and analyze the data transparency provided by blockchain-ledgers that can improve digital asset modeling over traditional order-books.

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Faculty Supervisor:

Ruppa K Thulasiram;Shahin Kamali

Student:

Partner:

FLUIDEFI Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

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

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