Innovative Projects Realized

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

31914 Completed Projects

3006
AB
5256
BC
878
MB
703
NL
913
SK
9488
ON
9949
QC
98
PE
629
NB
1215
NS

Projects by Category

Enhancing Tenantcube’s Data Ecosystem and Analytics Capability

This innovation project between Tenantcube Inc. and Brock University aims at enhancing Tenantcube’s data ecosystem and analytics capability. Tenantcube Inc. is a Property Management Software company that elevates the residential renting experience for the modern-day landlords and tenants in Canada and the USA. In the recent years, there has been an influx of international students and new immigrants who are in search of rental homes and are able to pay the quoted rent, but cannot find decent accommodation owing to their lack of credit history. To bridge this gap, Tenantcube intends to use data-driven insights, predictive systems and recommendation to identify qualified tenants so landlords can rent to new tenants with confidence. More specifically, the project will involve developing a data and analytics strategy framework to enhance Tenantcube’s current data ecosystem, exploring data-driven problem settings and formulating modelling and solution strategies.

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Faculty Supervisor:

Anteneh Ayanso

Student:

Partner:

Tenantcube Inc.

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

Brock University

Program:

Business Strategy Internship

Additive manufacturing of a nickel supper alloy: The micromechanics of plasticity and fracture.

To reduce the emission of greenhouse gases, significant efforts have been made to increase the efficiency of gas turbines. Likewise, the use of hydrogen is suggested to replace hydro-carbon-based fuels. To achieve these goals, it is mandatory to use advanced manufacturing techniques to produce the key components of turbines. Laser power bed fusion additive manufacturing (LPBF-AM) is one of those techniques that can be used for 3D printing of Inconel supperalloys, however, the development of microcracks reduce the lifetime of the components. The objectives of this project are to determine AM process parameter to reduce such cracks and understand their subsequent effects on the development of localized stress fields. An advanced numerical toolbox will be developed to simulate the propagation of microcracks. The outcome of the project will help provide a better estimation of components lifetimes which will eventually improve the economy of power production from gas turbines.

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Faculty Supervisor:

Hamidreza Abdolvand

Student:

Partner:

Siemens Energy Canada

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

The University of Western Ontario

Program:

Accelerate

Fabrication of Smart Clothing: From Machine Learning Approach to Fashion Design Concepts

Nowadays, wearable devices attract a lot of attention, especially in the healthcare field. But translating all devices to wearable devices always comes with challenges. Some of the challenges are lack of knowledge about the application of different materials in smart textiles, limitation of developed smart textiles in practical application, no significant dedication in designing clothing by considering the limits, etc. So, this proposal is trying to address those gaps. In this proposal, a material selection algorithm will be developed based on the machine learning approach, and then the outcome will be used in designing a collection of clothing. This design will consider those limitations and the applicable functionality of smart textiles. In the end, well-looking clothing with selected materials and practical functionality will be showcased.

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Faculty Supervisor:

Hadis Zarrin;Kate Hartman;Kate Hartman;Nick Puckett;Hadis Zarrin

Student:

Partner:

Sensofine Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

Ontario College of Art & Design University; Toronto Metropolitan University

Program:

Accelerate

Smart forests: building community and ecological fire resilience using real-time monitoring of forest conditions through 5G and next-generation fuel models

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

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Faculty Supervisor:

Mathieu Bourbonnais;Lael Parrott

Student:

Partner:

Rogers Communications Inc.

Discipline:

Earth science

Sector:

Environmental Science and Technology; Sustainability & the Environment; Natural Resources

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Développement d’une méthodologie de récolte systématique des don- nées utiles à l’entrepreneur culturel pour favoriser le partage de données et faciliter la rédaction de demandes de subvention

En partenariat avec Synapse C, ce projet vise le développement d’une communauté de mutualisation de données du secteur culturel pour favoriser une co-opétition saine et l’accessibilité à des données utiles et porteuses de sens pour l’entrepreneur- artiste. En s’appuyant sur la littérature portant le partage de données en innovation ouverte, l’entrepreneuriat culturel et la mesure d’impact en OBNL, l’objectif est de développer une méthodologie à déployer auprès des entrepreneurs culturels per- mettant une récolte systématique des données utiles et favoriser leur inclusion dans une communauté de pratique de mutua- lisation données. Un gain potentiel au niveau du processus de rédaction de demande subvention sera observable, qui requiert l’accès aux données pertinentes et probantes sur leur environnement, leurs publics, leurs non publics, etc. En complément, l’accès à une plus grande quantité et diversité de données permettra une meilleure prise de décision en vue de la croissance et de la pérennité des organismes.

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Faculty Supervisor:

Pascal Forget;Cécile Fonrouge

Student:

Partner:

Synapse C

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Optimization of Soil Parameters for Deep Excavations by Inverse Analysis

The proposed research aims to optimize soil model parameters through inverse analysis of deep excavations. Soil properties and their engineering behavior are the fundamental uncertainties among the many influential factors involved in deep excavations. Even though geotechnical investigations are usually conducted, the risks are still high due to the limited amount of soil samples extracted from the site. In addition, glacial deposits covering the Greater Toronto Area (GTA) make it very difficult to characterize their properties accurately due to its unsorted grain distribution and highly variable properties, which can easily lead to unsafe design. The goal of this research is to conduct an inverse analysis of deep excavations to optimize soil properties and then correlate the optimized model parameters with soil indices for different soils in the GTA. This research will help mitigate geotechnical risks and develop cost-effective infrastructure development in Canada.

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Faculty Supervisor:

Jinyuan Liu

Student:

Partner:

InGeo Design Ltd

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Toronto Metropolitan University

Program:

Accelerate

Exploring patient and provider perceptions to guide optimization of electronic order sets and digital educational platforms for cirrhosis care

People with cirrhosis, a progressive scarring of the liver, often experience frequent and prolonged hospitalizations which have significant impacts to their quality of life. There are many areas for improvement in cirrhosis care such as the enhanced promotion of complication-specific order panels like that for hepatic encephalopathy, a serious complication caused by a buildup of toxins in the blood and the most common cause of hospitalizations. This project will explore clinician perceptions on how the guideline-directed treatment of hepatic encephalopathy (alongside other common complications of cirrhosis) can be optimized using digital platforms such as the provincial electronic medical record and patient and provider directed education. Further it will act on these findings in an Alberta focused rollout of a Cirrhosis Care initiative. Lupin Pharma, our partner organization on the project, is the Canadian manufacturer of Rifaximin will directly benefit from this work as they will be able to (i) contribute to the enhancement of quality of care for cirrhosis patients in Alberta, and (ii) share the results with other jurisdictions and clinicians who wish to undertake similar initiatives.

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Faculty Supervisor:

Puneeta Tandon

Student:

Partner:

Lupin Pharma Canada

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Experimental and Numerical Studies of a New Quartz Atomizer for Vaping Devices

A new atomizer for vaping devices will be studied experimentally and numerically. The visualization of the flow inside the atomizer microchannels and the liquid film formed over to the top surface of the atomizer (with and without surface heating) will be attempted. Aerosol characterization using Phase Doppler Anemometer (PDA) will be conducted. In addition, numerical studies using VOF (Volume of Fluid) will be performed and validated against the obtained experimental data. The “know-how” and research data to be obtained in this project will be used by the company in the continuous improvement and development of new vaping devices as well as medication delivery.

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Faculty Supervisor:

Edgar Matida;Tarik Kaya

Student:

Partner:

Green Tank Technologies

Discipline:

Engineering

Sector:

Retail trade

University:

Carleton University

Program:

Accelerate

Enrouleurs instrumentés pour l’auto-étalonnage et l’enseignement direct des robots parallèles entraînés par câbles

L’entreprise RBot9 a développé le RoCap, un robot parallèle entraîné par câbles (RPEC) qu’elle destine à des applications d’inspection, d’entretien et de fabrication d’aéronefs. Afin de faciliter la collaboration entre le RoCap et son opérateur, on voudrait améliorer deux aspects de ce robot : (1) on voudrait faciliter le redéploiement du robot en permettant son auto-étalonnage, c.-à-d., la détermination des positions de ses enrouleurs et (2) on voudrait permettre à l’opérateur de faire de l’enseignement direct (direct teaching), c’est-à-dire de programmer les déplacements de la plateforme mobile du robot en la guidant manuellement.
Un tel robot pourrait avoir un grand espace de travail, plus grand que tout autre robot actuellement disponible dans le domaine de l’aéronautique. Il pourrait à lui seul couvrir tout le fuselage d’un avion de taille moyenne et ce, en étant suspendu au plafond d’un hangar, libérant ainsi le planché pour d’autres équipements. Améliorer son auto-étalonnage et sa programmation permettrait d’accélérer son déploiement et donc sa rentabilité.

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Faculty Supervisor:

Philippe Cardou

Student:

Partner:

Rbot9

Discipline:

Engineering

Sector:

Aerospace; Advanced Manufacturing; Manufacturing and Construction

University:

Université Laval

Program:

Accelerate

Broad-scaled Avian Biodiversity Assessment with Passive Acoustic Monitoring and Artificial Intelligence

Many bird species are highly vocal, and this provides opportunities to monitor avian biodiversity by acoustic surveys. In recent decades, the use of Autonomous Recording Units (ARUs) has gained popularity as a mechanism to census birds through passive acoustic monitoring. Further, automatic algorithms for identifying bird species by their vocalizations have been developed to improve the efficiency and accuracy in analyzing acoustic data. In this project, I will explore the potential applications and limitations of passive acoustic monitoring in avian research. Specifically, passive acoustic monitoring will be used to answer ecological questions, including individual identification within species, species-level song activity, and community-level diversity assessment.

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Faculty Supervisor:

Ken Otter

Student:

Partner:

John Prince Research Forest

Discipline:

Life Sciences

Sector:

Agriculture; Professional, scientific and technical services

University:

University of Northern British Columbia

Program:

Accelerate

Unravelling the cellular and molecular mechanisms of loin pain hematuria syndrome

Loin pain-hematuria syndrome (LPHS) is a rare human disease with a reported prevalence of 12 per 100,000. It is predominantly observed in women with the age at symptom onset ranging from the first to sixth decade of life, with most patients being in late 20s or early 30s. The characteristic feature of LPHS is unrelenting loin pain and presence of blood in urine. In most cases, the pain is so intense that the patients have to quit their jobs, require anti-depressants, go on long-term disability, and many contemplate suicide. LPHS imposes a significant health and economic impact in terms of loss of productivity and quality of life in a young population as these patients are shuffled among numerous health care providers in search of a diagnosis. Due to inadequate understanding of what causes LPHS, the goal of management has been limited to symptomatic pain relief using narcotics, which in many cases leads to opioid dependency. In this first genomic based study on LPHS patients, we aim to understand the origin of pain in LPHS patients, thus, eventually guiding the development of precise diagnostic and therapeutic approaches.

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Faculty Supervisor:

Christopher Yost;Matthew Lanktree

Student:

Partner:

Goyal Holdings Ltd

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Regina

Program:

Accelerate

PARTEMP: PARtenariat sur les migrants TEMPoraires en EMPloi

Le projet de recherche vise à améliorer les conditions de vie et d’emploi des migrants avec un statut d’immigration
temporaire, grâce à la production de connaissances empiriques sur leur expérience au Québec et leurs besoins
d’intervention. Au Réseaux d’aide aux travailleuses et travailleurs migrants agricoles du Québec (RATTMAQ), les
stagiaires étudieront les facteurs de risques en santé mentale et physique des travailleurs migrants temporaires
agricoles au Québec, ce qui sera utile pour le partenaire et la santé publique. Au Centre multiethnique de Québec,
une stagiaire évaluera la récente offre de service auprès des migrants temporaires de la région, permettant
d’améliorer l’intervention offerte, tandis qu’un autre évaluera la manière dont le CMQ met en oeuvre le mandat du
MIFI de régionalisation de l’immigration des demandeurs d’asile. Enfin, à Carrefour-emploi-Lotbinière, la stagiaire
explorera les besoins des travailleurs migrants temporaires en famille, contribuant à l’amélioration des services.
Ces projets participeront au développement socioéconomique des régions en aidant les organisations à desservir
cette population.

View Full Project Description
Faculty Supervisor:

Danièle Bélanger

Student:

Partner:

Carrefour emploi Lotbinière;Centre Multiethnique de Québec;Réseau d'aide aux travailleuses et travailleurs migrants agricoles du Québec (RATTMAQ)

Discipline:

Sociology

Sector:

Other services (except public administration)

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.