Innovative Projects Realized

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

29670 Completed Projects

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801
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663
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825
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8841
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95
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568
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1088
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Projects by Category

Translational Research in User Experience Design for Personalized Health

Personalized health is increasingly gaining public attention in the media as the future of healthcare. Personalized health is the idea that medical treatment will be tailored to the individual based on their predicted response or risks of disease. Omics analysis, defined as the universal detection of different classes of biological molecules, has the potential to direct personalized health delivery and enhance lifestyle changes, such as changes in diet and exercise habits, that may prevent disease development.
To improve on the accessibility of this rich Information and action plan for health seekers and platform users, we will use a user centred design approach to optimize the user interface and user experience design of the platform. Through an iterative process of research, design and user-testing, we will seek to Improve and simplify the user experience without compromising integrity of Information to support Improved decision making. TO BE CONT’D

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Faculty Supervisor:

Caylee Raber

Student:

Partner:

Molecular You Corporation

Discipline:

Life Sciences

Sector:

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

University:

Emily Carr University of Art + Design

Program:

Accelerate

Spatiotemporal travel behavior modeling and analysis for better public transport systems

The public transportation system is crucial in alleviating urban congestion. The widespread of smart card automated fare collection (AFC) system produces massive data recording passengers’ day-to-day transport dynamic, which provides unprecedented opportunities to researchers and practitioners to understand and improve transit services. This project aims to make full use of the transit operational data (mainly smart card data) to enhance transit services. The main body of the research project is spatiotemporal behavior patterns mining. The project collaborates with the transit operator exo and will be accomplished by a series of methodological and practical contributions. Data fusion technique will be used to make up incomplete data and contextualize trips’ and passengers’ attributes. We will construct features to profile passengers’ behavior at different time scales and utilize statistical learning methods to extract meaningful latent representations to help to understand passenger behavior patterns. TO BE CONT’D

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Faculty Supervisor:

Lijun Sun;Martin Trépanier;Martin Trépanier;Lijun Sun

Student:

Partner:

Exo

Discipline:

Engineering

Sector:

Transportation and warehousing

University:

École Polytechnique de Montréal; McGill University; Polytechnique Montréal

Program:

Accelerate

Control of Modular Multilevel Converters for Specialized Functions

Modern power systems wherein renewable energy sources are prevalent will exhibit larger frequency deviations than conventional power systems due to the diluted share of conventional generation based upon large electric machines with massive spinning rotors. To combat this, power-electronic converters that are used to interface renewable sources need to provide ancillary, such as frequency support and inertia emulation. This research will investigate this functionality for a class of power-electronic converters, namely modular multilevel converters. This is done by judicious adjustment of an internal current component within an MMC that is otherwise eliminated. The proposed research adopts a approach that includes analysis, computer simulation, and hardware-based real-time simulation to ensure that its solutions are well-assessed and are applicable in practical applications.

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Faculty Supervisor:

Shaahin Filizadeh

Student:

Partner:

RTDS Technologies

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

Facilitating Service Network Navigation: Developing a Model for Individuals with Autism and/or Intellectual Disabilities and their Families – Year two

Adults with Autism (ASD) and/or intellectual disabilities (ID) who seek medical and dental treatments often require specialized interventions that are not always accessible in the community. The Centre for Innovation in Autism and Intellectual Disabilities See Things my Way clinic (STMW) developed a specialized Medical/Dental Clinic to address this important gap. Providing care through a holistic understanding of patients within their broader social environment, the clinic is expanding the breadth of its interdisciplinary care to include a psychosocial component that will help ensure support through a patient/family-centered model of integrated care. This proposed project will focus on the development and implementation of this care model that addresses patients’ and families’ service requirements that are often confusing, frustrating and difficult to navigate. In collaboration with STMW and the University of Calgary, two projects are proposed: TO BE CONT’D

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Faculty Supervisor:

David Nicholas

Student:

Partner:

See Things My Way

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

University of Calgary

Program:

Elevate

Facilitating Service Network Navigation: Developing a Model for Individuals with Autism and/or Intellectual Disabilities and their Families

Adults with Autism (ASD) and/or intellectual disabilities (ID) who seek medical and dental treatments often require specialized interventions that are not always accessible in the community. The Centre for Innovation in Autism and Intellectual Disabilities See Things my Way clinic (STMW) developed a specialized Medical/Dental Clinic to address this important gap. Providing care through a holistic understanding of patients within their broader social environment, the clinic is expanding the breadth of its interdisciplinary care to include a psychosocial component that will help ensure support through a patient/family-centered model of integrated care. This proposed project will focus on the development and implementation of this care model that addresses patients’ and families’ service requirements that are often confusing, frustrating and difficult to navigate. In collaboration with STMW and the University of Calgary, two projects are proposed: TO BE CONT’D

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Faculty Supervisor:

David Nicholas

Student:

Partner:

See Things My Way

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

University of Calgary

Program:

Elevate

Multimodal optical brain imaging for Epilepsy applications

The cost and size of many imaging systems used in biomedical applications largely limit the possibility for long-term and imaging sessions in pre-clinical and clinical diagnosis. There is a need for low-cost imaging systems to map brain activity. Dr. Levi’s team has developed a unique miniature laser-based illumination system that enables novel optical imaging of neurovascular dynamics in live animals. We have recently shown the advantages for fast simultaneous imaging of blood flow and oxygenation, surrogates to neural activity, in rodent cortex. Here we propose to demonstrate the applicability of multiple modalities imaging for epilepsy models in animals. Simultaneous blood flow, blood oxygenation, electrophysiological recordings and calcium activity will be acquired with high spatiotemporal resolution in order to evaluate the correlation between metabolic activity and electrophysiological seizure onsets. We will also demonstrate the compatibility of our system with miniature cameras, towards developing a portable optical neural imaging system.

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Faculty Supervisor:

Ofer Levi

Student:

Partner:

University of Toronto;QImaging

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program:

Accelerate

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

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