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

Design and Prototype Validation of a Bioabsorbable Flow Diverting Stent

An aneurysm is a balloon off a blood vessel in the brain, that could potentially bleed resulting in devastating consequences for the patient. Brain aneurysms a common, and are present in up to 7% of the general population. Traditional treatment of complex brain aneurysms involves placing a metal “flow-diverting” stent across the neck of the aneurysm, leading to redirection of blood flow away from the aneurysm dome. Bioabsorbable flow-diverting stents have only recently been developed by Fluid Biotech Inc. as a novel way to treat brain aneurysms. These stents are made from polymeric materials that are designed to dissolve after the stent is placed and the aneurysm heals. Little is known, however, about their absorption pattern and whether these stents would be prone to breaking apart as they dissolve, which could potentially lead to strokes and other complications. TO BE CONT’D

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Faculty Supervisor:

Andrew P Braun;Alim Mitha;Alim Mitha;Nigel Graham Shrive;Paul Ziade

Student:

Partner:

Fluid Biomed Inc.

Discipline:

Life Sciences

Sector:

Agriculture; Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

ATCO Home of the Future and DSO Orchestration

The intern will be part of the ATCO Electricity Innovation Team and will support in delivering novel next generation prototypes that will define the future of the electricity grid in Alberta, broader Canada and globally. Some of the current projects in the portfolio includes smart EV charging, artificial intelligence based microgrids, home of the future and power systems technologies for making the electricity grid autonomous and smart. The student will be part of a horizontal team structure and will report directly to the Innovation Director.

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Faculty Supervisor:

Petr Musilek

Student:

Partner:

ATCO Electric Ltd

Discipline:

Engineering

Sector:

Utilities

University:

University of Alberta

Program:

Accelerate

Analysis of the effects of a high-anxiety state on running mechanics and identifying relevant psychological predictors related to levels of emotions and mechanics

Achieving optimal sport performance is complex and multidimensional. Athletes need to have high levels of physical and psychological skill. It is already commonly understood that an athlete’s emotional state can affect performance. With this project, we would like to take this one step further and investigate how an athlete’s emotions affect movement patterns, more specifically by assessing how anxiety impacts running mechanics. To achieve this objective, we will induce an anxiety state during a treadmill run and evaluate runners’ movement mechanics via a markerless motion capture system called Kinetisense. This system has the advantage of being simple to transport and use and it is currently used in clinical environments to evaluate patients’ performance and give patients real-time feedback on their movement. TO BE CONT’D

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Faculty Supervisor:

Amber Mosewich;Albert Vette;Sean Baynton

Student:

Partner:

Kinetisense Inc;runlAB Inc

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Modelling the impact of water pressure on water main breaks using a spatially explicit Bayesian model

Providing safe drinking water to the population is one of the main roles of municipalities. However, due to aging urban infrastructure, the number of pipe break is an increasingly around the world which is costly at the economic, social and environmental levels. Municipalities need to have tools that allow predicting these breaks so they can develop a preventive strategy to repair or replace vulnerable pipes before they break. This project proposes to use modern statistical tools to create a model that will use water pressure and pipes characteristics to predict pipe breaks. To support the model development, five Canadian cities will provide extensive pipe break datasets to train and test the model. This model will be integrated in InteliPipes, a break prediction tool developed by CANN Forecast. TO BE CONT’D

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Faculty Supervisor:

Alexandra Schmidt;Sophie Duchesne

Student:

Partner:

CANN Forecast

Discipline:

Mathematics

Sector:

Professional, scientific and technical services; Real estate and rental and leasing

University:

McGill University

Program:

Accelerate

Implementation of computational intelligence algorithms for the automation of business workflow at BuildMapper

KPU and BuildMapper pursued a collaborative data science project to automate and enhance BuildMapper’s core business intelligence algorithms. One algorithm will consist of a customized web crawler for the discovery and acquisition of semi-structured and unstructured construction phase information sourced from municipality websites. The other work includes the design of a SQL database for the storage of municipality download links pointing to construction phase data at the top 100 municipalities in Canada. This work will enable BuildMapper to shift from a labour intensive workflow to a highly automatized and scalable system, which will enhance and exponentially increase the velocity of data acquisition. This will enable BuildMapper to enter markets currently not feasible with the current labour intensive model.

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Faculty Supervisor:

Levente Orbán

Student:

Partner:

BuildMapper Inc

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Kwantlen Polytechnic University

Program:

Accelerate

The role of phenotypic plasticity in the adaptive heat response of an exploited coral reef fish

Climate change is causing rapid environmental shifts, resulting in high levels of multiple stressors impacting diverse species. To avoid extinction, species need to adapt quickly to those stressors. As coral reef ecosystems are disproportionately affected by climate change, the species within them are vulnerable to environmental changes. One mechanism by which species can adapt rapidly is acclimation through phenotypic plasticity. Due to its importance in recreational and commercial fishing, as well as its ecological importance as a top predator, the common coral trout (Plectropomus leopardus), is an ideal species to assess the ability of coral reef fish to acclimate to heat stress through changes in gene expression. This study will identify key genes involved in the adaptive thermal response of this species. This research will be valuable in developing and implementing management plans for species that are ecologically and economically valuable, such as P. leopardus.

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Faculty Supervisor:

Daniel Heath

Student:

Partner:

The University of Queensland

Discipline:

Life Sciences

Sector:

Education

University:

University of Windsor

Program:

Globalink Research Award

Targeting the glycerophospholipidome to promote stroke and AD recovery

Alzheimer Disease complicated by covert stroke is the most common neurodegenerative disorder with 24.3 million patients worldwide. One new patient is diagnosed every seven minutes. The emotional toll is incalculable. Prognosis is bleak. Insidious cognitive decline eliminates a patient’s identity and renders victims dependent upon custodial care within 5-8 yrs. There is a pressing need for strategies that target the brain cell changes observed early in Alzheimer Disease and exacerbated by covert stroke. In this proposal, we argue that changes in the lipid composition of brain cells precedes memory loss and renders brain cells vulnerable to Alzheimer Disease and vascular dementia. It is known that families of lipids are altered over the course of Alzheimer Disease but they have, for the most part, been ignored given the technical challenges associated with identifying lipid subtypes……..to be continued on proposal application

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Faculty Supervisor:

Steffany Bennett

Student:

Partner:

Sunnybrook Health Sciences Centre

Discipline:

Life Sciences

Sector:

University:

University of Ottawa

Program:

Accelerate

Construction and Post-Construction Deformations of an MSE Wall using Terrestrial Laser Scanning

Terrestrial Laser scanning is a surveying tool that can create 3D point clouds by shooting a web/mesh of laser points in a 360° range of its surroundings, determining the coordinates at each data point. This research will determine its applicability to measure deformations of a Mechanically Stabilized Earth (MSE) retaining wall by comparing measurements to the already accepted total station surveying tool. As well, a finite element model developed using computer software will recreate site conditions to determine theoretical movements and will be compared to the surveyed movement. The results will allow industry members the ability to collect more data for monitoring the performance of in-service structures, which will provide safety to the public and assurance to the designer.

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Faculty Supervisor:

Marolo Alfaro

Student:

Partner:

Saitama University

Discipline:

Engineering

Sector:

Education

University:

University of Manitoba

Program:

Globalink Research Award

Trust between Autonomous Technical Systems

The ultimate goal for Artificial Intelligence and Robotics is to enable technical systems to adapt themselves, learn from their environment, and take decisions in concordance with specific situations, without human involvement. Specifically, cooperation between these intelligent technical systems is considered as a key factor towards such a challenge. This project aims to enhance an autonomous system to take decisions, which are influenced by a trust component between individual agents. The goal of the project is three-fold. Firstly, investigate and formalize the integration of a computational trust model in sophisticated decision making systems. Secondly, tune the parameters of the trust model by adopting the concept of system customization. For this purpose, we propose to employ reinforcement learning. Finally, explore the parameter space for the design, analysis, and deployment of interactive learning models, which is crucial to allowing for efficient learning.

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Faculty Supervisor:

Sandra Zilles

Student:

Partner:

Technical University of Munich

Discipline:

Computer science

Sector:

Information and Communications Technology

University:

University of Regina

Program:

Globalink Research Award

Simulation et modélisation du bruit de profil

Ce projet vise à développer une méthode de prédiction et d’atténuation précise et abordable du bruit induit par l’écoulement. L’approche innovante, basée sur les développements récents en simulation et en modélisation fondée sur les données, promesse de réduire la pollution sonore, d’améliorer la santé publique et atténuer l’impact de l’urbanisation. À ce jour, les limites méthodologiques ont entravé notre capacité pour prédire le bruit de manière fiable et finalement le contrôler. Ce projet, exploitant la simulation haute fidélité et techniques éprouvées d’apprentissage automatique, vise à surmonter ces limitations et à produire les connaissances scientifiques connaissances requises pour une atténuation pratique du bruit. Parmi les avantages, mentionnons les secteurs aérospatial, marin et technologies des énergies renouvelables, créant des communautés plus agréables. TO BE CONT’D

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Faculty Supervisor:

Stéphane Moreau

Student:

Partner:

The University of Melbourne

Discipline:

Engineering

Sector:

Education

University:

Université de Sherbrooke

Program:

Globalink Research Award

Cultural political economy of startup societies

My doctoral research explores the development of the seasteading movement, which is working to establish permanent settlements on structures located in areas of sea outside the jurisdiction of any country. I will work under the supervision of Professor David Pinder at Roskilde University between August 2019 and January 2020. Given his extensive experience examining utopianism, power, and politics in twentieth-century urbanism, Professor Pinder’s expertise and mentorship would be invaluable to the research, crafting, and presentation of my doctoral thesis. Under his supervision, I will be exposed to new literature, cutting-edge approaches, and unique perspectives on utopia, urbanism, and mobilities in the twentieth century. TO BE CONT’D

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Faculty Supervisor:

Sarah Moser

Student:

Partner:

Roskilde University

Discipline:

Sociology

Sector:

Education

University:

McGill University

Program:

Globalink Research Award

Développement de réacteur électro-membranaire pour la production d’hydroxyde de lithium

La batterie lithium-ion pourrait occuper une place importante dans la transition énergétique à venir. Elle permettrait notamment d’équiper un nombre important de véhicule électrique. Cependant, son coût élevé et l’empreinte carbone importante liée à sa production diminue sa compétitivité. Afin d’améliorer ces deux aspects, la compagnie Nemaska Lithium propose une technologie novatrice pour produire de l’hydroxyde de lithium – composant de base d’une batterie – à partir de sa mine de spodumène située au Québec. Ce procédé électro-membranaire issu de l’industrie du chlore-soude permet d’économiser drastiquement la consommation de produit chimique en utilisant de l’hydro-électricité. Adapté à la production d’hydroxyde de lithium, le potentiel d’optimisation reste important. Le remplacement de l’anode actuelle par une anode dépolarisée à l’hydrogène permettrait d’augmenter la productivité jusqu’à 70% tout en diminuant d’environ 30% les coûts énergétiques. TO BE CONT”D

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Faculty Supervisor:

Mickael Dollé

Student:

Partner:

Nemaska Lithium;National Research Council of Canada (Boucherville QC)

Discipline:

Physics

Sector:

Mining; Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

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