Innovative Projects Realized

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

30156 Completed Projects

2861
AB
5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projects by Category

Evaluation of voclosporin treatment as a podocyte-sparing therapy in proteinuric kidney disease

Proteinuric kidney diseases, such as lupus nephritis, affect approximately 1 in 10 individuals around the world. For many patients, it results in the progression to end-stage kidney disease, for which the only treatments available are dialysis and transplantation. Therefore, it is imperative to develop therapies that slow down or halt the progression of proteinuric kidney disease. Voclosporin (VCS) is a next-generation calcineurin inhibitor currently in phase 3 clinical trials. It confers increased potency when compared to other drugs currently used to treat proteinuric kidney disease. Consequently, VCS can be administered at lower doses and has enhanced therapeutic effects. The over-arching purpose of the proposed research is to evaluate the effects of VCS on kidney podocytes, the filtering cells of the kidney, and compare its mechanism of action to other calcineurin inhibitors. TO BE CONT’D

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Faculty Supervisor:

Kelly M. McNagny;Michael R Hughes

Student:

Partner:

Aurinia Pharmaceuticals

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Deep learning-based approaches for text to speech application

The proposed research project is aimed at the development of text-to-speech systems that leverage the power of deep neural networks. Our goal is to leverage powerful generated models for speech and combine them with mechanisms to incorporate text information. We hope to explore several such techniques and propose novel methods to achieve this goal.
The development of such systems is essential for allowing us to interact with machines in an intuitive way. The development of natural sounding text-to-speech systems has many potential applications, from conversational agents on phones and mobile devices to educational tools and toys. This technology also has applications in the medical domain, and can be used to help/augment people with speaking disabilities.

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Faculty Supervisor:

James Clark

Student:

Partner:

Huawei Technologies Canada Co Ltd (Montreal, QC)

Discipline:

Computer science

Sector:

Technology

University:

McGill University

Program:

Accelerate

Effet de la sévérité des feux sur la dynamique forestière en pessière noire et évaluation du rendement forestier 10 ans après une coupe partielle en pessière à mousses

La forêt boréale représente avec ses 26% des forêts mondiales un des biomes les plus étendus de la planète. Ainsi, par ses capacités à purifier l’air et réguler le climat, les forêts boréales sont susceptibles de jouer un rôle de poumons. Cependant, en forêt boréale, les échanges atmosphère-biosphère de carbone sont directement influencés par les régimes de feu et l’aménagement forestier, deux perturbations intégrales de ce biome. Ainsi, ce projet consiste à comprendre l’effet de la sévérité des feux sur les sols et le choix des pratiques sylvicoles favorisant le rendement post-coupe dans le contexte des changements climatiques anticipant davantage de feux sévères. Une meilleure compréhension de l’effet de la sévérité des feux sur les sols permettrait de développer des stratégies d’aménagement visant à optimiser les bilans de carbone. TO BE CONT’D

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Faculty Supervisor:

Yves Bergeron;Alain Leduc

Student:

Partner:

Rayonier A.M. Canada S.E.N.C.

Discipline:

Earth science

Sector:

Forestry; Natural Resources; Sustainability & the Environment

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

Feature selection for Deep Learning applied to the identification of impaired drivers

DriveABLE Inc uses a set of simple video tasks to identify the impaired drivers. Video tasks come in the form of simple games and measure cognitive ability. The test results are analysed by AI powered algorithm that predicts the impairment level of the driver. Our project’s main objective is to redesign the AI in such a way that it can cover more use cases with fewer tasks. In particular we will redesign the algorithm so that it will accept incomplete tests. We will also identify redundant games in order to make overall test shorter. In addition this analysis will allow to highlight important characteristic of tasks which will lead to new generation of improved tasks.

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Faculty Supervisor:

Linglong Kong

Student:

Partner:

DriveABLE Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Virtual Reality: Utopia, Technology and Art

My research seeks to map out the artistic context in which interactive and immersive technologies such as VR, AR, XR and Stereoscopic 3D are produced, distributed, and perceived. Generally posited as the future model for contemporary visual culture, these technologies have been promoted to realize the utopic telos that has haunted image technologies since early 19th century: total mimesis of life. While tied to different political agendas, conventions of these technologies converge in the hyperbolic idea of abolishing the ontological boundaries between the world and its image to the extent that the copy and original, spectacle and spectator, and eventually life and its representation are transformed into interchangeable units.

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Faculty Supervisor:

Janine Marchessault

Student:

Partner:

New York University

Discipline:

Sociology

Sector:

Education

University:

York University

Program:

Globalink Research Award

Opera in Canadian and Chinese Classrooms

My research project is a component of the Reciprocal Learning Program and SSHRC Partnership Grant project run by Dr. Shijing Xu and Dr. Michael Connelly respectfully. I will actively participate in and observe how music students study the historical, musical, and practical applications of vocal pedagogy in Chinese music classrooms. I would also like to observe whether Chinese students study Operatic technique and repertoire, and compare it to how this genre is taught in Canadian music classrooms. My expected outcomes relate to the exchange of ideas regarding differing vocal techniques and, as a future educator, the incorporation of new knowledge and techniques concerning vocal pedagogy into Canadian music classrooms. Upon my return from China, I also hope to collaborate with Dr. Xu and Walkerville Colligate, a local specialized art high school, who are planning a production of Peking Opera here in Windsor, Ontario.

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Faculty Supervisor:

Shijing Xu

Student:

Partner:

Southwest University

Discipline:

Sociology

Sector:

Education

University:

University of Windsor

Program:

Globalink Research Award

How We Build Housing: Exploring Baugruppen in Berlin as Scalable, Participatory Co-production in Berlin

This research project will explore the German Baugruppe model of housing development—literally ‘building group’—through which multiple households organize themselves into an association and pool resources to purchase land and engage an architect to design a multi-unit complex of dwellings to suit their needs. This model removes the land developer from the equation, thus giving households, architects, planners, and policymakers primary roles in housing delivery. The central aim of this research project is to explore case studies of the Baugruppe model within the conceptual framework of participatory housing delivery in order to identify the viability and limitations of this model for Canada, as well as to develop an understanding of the elements, factors, and drivers that have contributed to the model’s success in Germany.

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Faculty Supervisor:

Nik Luka

Student:

Partner:

Technische Universitat Braunschweig

Discipline:

Sociology

Sector:

Education

University:

McGill University

Program:

Globalink Research Award

Bird Density and Species Richness in Interior British Columbia – tools to inform conservation value and risk assessment in forestry

Forest companies would like to reduce the number of birds, eggs, and nests that are negatively affected by logging. They are particularly interested in reducing impacts on species at risk. The problem is that we don’t have detailed knowledge of where every bird lives, so it’s difficult to make educated choices about where and how much forest to harvest. This research will help provide a solution to this problem. We can relate bird data to landscape and forest characteristics like elevation, forest age, and forest height to understand which forest types have the most birds. Then we can map where birds are most likely to live, identifying areas with more species and more birds. This information will be provided to the partner organizations and other forest companies to ultimately help develop logging plans that reduce accidental destruction of bird nests and eggs.

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Faculty Supervisor:

Erin Bayne;Fiona Schmiegelow

Student:

Partner:

BC Council of Forest Industries

Discipline:

Life Sciences

Sector:

Agriculture

University:

University of Alberta

Program:

Accelerate

A portable multi-sensor navigation system for indoor and urban localization and orientation

This Mitacs cluster project will involve the research, development and deployment of a multi-sensor navigation system that will be used for portable applications, such as dismounted soldier navigation, urban surveying and mobile phone localization. Multi-sensors are needed to provide positioning and orientation information when wireless signals are blocked or inaccurate. The project will focus on methods of relative orientation estimation between the person’s body and the mobile electronic device so that specific aiding and constraints can be applied to make the navigation solution more accurate when navigating with motion sensors for prolonged periods of time without wireless updates. Existing prototypes from Trusted Positioning will be used to expedite the development and deployment. These prototypes have MEMS accelerometers, gyroscopes, magnetometers, barometers and wireless positioning systems such as GPS and WiFi. All of these sensors and wireless signals will be targeted for use in the proposed methods.

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Faculty Supervisor:

Aboelmagd Noureldin

Student:

Partner:

Trusted Positioning Inc;TECTERRA Inc

Discipline:

Engineering

Sector:

Information and cultural industries

University:

Queen's University

Program:

Accelerate

Assessing the Impact of Customer Service Strategies on Loyalty

This project evaluates the impact of customer service on customer retention and churn. In the first phase, we build a statistical model to examine drivers of customer loyalty. In the second phase, we work with customer service to evaluate the effectiveness of new customer service strategies. This project will enable the company to better predict customer retention and churn by using appropriate metrics. In addition, the company can understand the impact of alternative customer service strategies on customer loyalty and can choose the most effective one for implementation.

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Faculty Supervisor:

Sandeep Arora

Student:

Partner:

Bold Innovation Group

Discipline:

Business

Sector:

Commercial Services; Information and Communications Technology; Technology

University:

University of Manitoba

Program:

Accelerate

One Child at a Time One Family at a Time

Early-years educational programing is linked with greater educational, career and life outcomes. The One Child at a Time One Family at a Time program seeks to assist families in overcoming barriers and giving all children equal access to early-years learning. The home visiting program connects children and their families with individualised support and guidance tailored to a families unique needs and home situation and relevant to their culture and background. In addition to home-based preschool programing support, families receive physical tools such as books, toys and games for their young children. It is believed that the improved social connections and access to resources will ultimately improve numeracy and literacy for pre-school programming putting them on a path for future success.

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Faculty Supervisor:

Noralou Roos;Leslie Roos

Student:

Partner:

North Forge

Discipline:

Sociology

Sector:

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

University:

University of Manitoba

Program:

Accelerate

AI based Pointing and Tracking for Satcom Terminals

Aimed at maximizing the antenna signal of the satellite communication (Satcom) terminal in a satellite system, positioning and tracking methods based on AI are studied in this project. This proposal focuses on the issue of a satellite’s pointing and tracking for a stationary Satcom terminal. The detailed methods includes the following four functional components: 1) data filtering and preprocessing of original sensory data collected by Satcom terminal; 2) data error corrections based on multimodal data fusion; 3) direction search to obtain maximum signal strength based on historical data-based learning, and self-learning; and 4) reinforcement learning based optimization of antenna vector to obtain maximum signal strength. The goal is to realize the high accuracy of satellite pointing and optimize the relocation of the Satcom terminal’s antenna for satellite tracking. The target of the proposed AI-enabled self-aligned algorithm is to enable Satcom terminal to achieve industry leading low acquisition time.

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Faculty Supervisor:

Victor C.M. Leung;Bhuhan Gopaluni

Student:

Partner:

Norsat International Inc.

Discipline:

Engineering

Sector:

Information and Communications Technology; Aerospace; Technology

University:

The University of British Columbia

Program:

Accelerate

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