Innovative Projects Realized

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

31133 Completed Projects

2940
AB
5159
BC
837
MB
685
NL
882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
NS

Projects by Category

Detection and prediction of cybersickness in virtual and mixed reality environments using wearables

Virtual and mixed reality (VR/MR) systems have burgeoned over the last couple of years with applications in healthcare, gaming, telepresence, and skills training, to name a few. Within the skills training sector, for example, police/law enforcement training is an important application domain which has seen increased adoption worldwide. In Canada, Public Safety and the Royal Canadian Mounted Police (RCMP) have invested millions of dollars to set up state-of-the-art VR/MR facilities to train the next generation of law enforcement agents. VR allows for different scenes, conditions, and maneuvers to be tested in one single physical location, thus not only reducing training costs, but better equipping trainees to handle unknowns. While the potential is there, existing VR/MR systems are known to induce motion sickness – known as cybersickness – on a large proportion of the trainees, especially females. As such, cybersickness detection and prevention methods are drastically needed in order to provide a more inclusive training environment. This project aims to solve this problem via the use of multimodal signal processing of wearable device signals.

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Faculty Supervisor:

Tiago H Falk

Student:

Partner:

Thales Recherche et Technologie

Discipline:

Engineering

Sector:

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

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Accelerate

Informing Researcher and Clinician Decisions to Interact with a Scholarly Publication: Identifying Preferences for a Journal Transparency Tool

Advances in healthcare and research are published in peer-reviewed biomedical journals all over the world. Our previous research shows that predatory journals, or fake academic journals, pose a threat to this. Predatory journals claim to publish high-quality research, but they do not follow accepted scientific publishing practices (e.g., peer review, indexing). If health decisions are made based on low-quality research published in predatory journals, this is a problem. When using a search engine, researchers and clinicians come across predatory journals in a variety of ways, including looking for up-to-date information or looking for a journal to submit to. A digital journal transparency tool, in our vision, could help clinicians and researchers decide whether to use an article to guide patient care, cite, or submit their own research to a particular journal. The tool would provide real-time data on a journal’s practises to aid in making informed decisions. The objective of this project is to identify researcher preferences for this journal transparency tool.

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Faculty Supervisor:

David Moher;Alfonso Iorio;Kelly Cobey

Student:

Partner:

EBSCO Health

Discipline:

Sociology

Sector:

Information and cultural industries; Retail trade

University:

University of Ottawa

Program:

Accelerate

Hardware Implementation of Neural Network Algorithm for Ultra Low Latency Signal Classification

The CookieBox is an angular streaking detector developed for LCLS-II which extracts intrinsic characteristics from an X-ray shot. Those characteristics can then be used to classify and determine if the X-ray shot respects the pre-established experimental framework. However, to be of any value to the rest of the experiment, this classification must be done quickly, ideally less than 100 µs after the shot. Preliminary work demonstrated that our encoding techniques enable the use of very small neural network which shows great potential for fast and accurate classification. The proposed research project is to implement those already existing and functioning algorithms on dedicated hardware like FPGA.

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Faculty Supervisor:

Audrey Corbeil Therrien

Student:

Partner:

Stanford University

Discipline:

Engineering

Sector:

Education

University:

Université de Sherbrooke

Program:

Globalink Research Award

Phagocytosis of asbestos and macrophage dysfunction.

Asbestos was once used extensively in the fabrication of a variety of products and materials. After being declared a carcinogen and linked with a variety of lung diseases more than 2 decades ago, the use of asbestos was banned in many countries. Yet, asbestos remains a public health concern worldwide and one of the leading causes of occupational deaths in Canada. The molecular and cellular mechanisms underlining asbestos pathogenic effects are poorly understood. The objective of this research project is to conduct an in-depth characterization of the phagocytosis of asbestos fibers in lung macrophages and determine the possible contribution of asbestos surface chemistry on the disruption of phagocytosis and macrophage dysfunction. Utilizing state of the art microscopy technologies combined with cell biology techniques, we will characterize the maturation stage of asbestos fibers-containing phagosomes inside lung macrophages and investigate its deleterious effects on cell membranes. Findings coming out from this research will aid to better comprehend mechanisms by which asbestos persists in the lung and causes disease and will foster opportunities in diagnostic and therapeutic interventions promoting lung health in the affected individuals.

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Faculty Supervisor:

Mauricio Terebiznik

Student:

Partner:

Universidad Juan Agustín Maza

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Other

University:

University of Toronto

Program:

Globalink Research Award

Identification of enzymatic binding partners for a novel family of Arabidopsis ubiquitin ligases

Plants are fundamental to the survival of humankind. They create the oxygen we breathe, provide the food we consume, and supply raw materials for numerous industries. We want to know how plants cope with stress. This requires a deep understanding of how plant tissues and cells react to stress cues, which includes understanding how proteins work within cells. Through a collaboration between Queen’s University and the University of Freiburg, the intern will uncover how a group of signaling enzymes function biochemically, which will complement our ongoing work to understand how they influence normal growth and development in the model plant Arabidopsis thaliana. Industrial agricultural systems are unsustainable and damaging to the environment, and we believe that a clearer understanding of stress responses will enable agricultural innovation.

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Faculty Supervisor:

Jacqueline Monaghan

Student:

Partner:

Albert-Ludwigs-Universität Freiburg

Discipline:

Life Sciences

Sector:

Education

University:

Queen's University

Program:

Globalink Research Award

Augmentation de la productivité d’un procédé de recyclage secondaire de polyéthylène

Actuellement, il y a un besoin alarmant de trouver des débouchés aux plastiques utilisés pour répondre à la problématique de la gestion des matières résiduelles qui représente un défi mondial. Ce projet est une solution porteuse pour le secteur du recyclage. Il offre l’opportunité de recycler et valoriser de plus grandes quantités de polyéthylène (PE) en des produits à plus fortes valeurs ajoutées. Des additifs à base de matière recyclée ou biosourcée seront développés afin d’améliorer la fluidité des mélanges de PE et augmenter la productivité chez notre partenaire. La performance de ces additifs sera évaluée et comparée avec des additifs commerciaux issus du pétrole.

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Faculty Supervisor:

Amel Hadj-Bouazza

Student:

Partner:

Paverreco

Discipline:

Physics

Sector:

Manufacturing

University:

Cégep de Victoriaville

Program:

Accelerate

Hybrid quantum-classical multiple kernel methods for machine learning

Quantum computers are well-suited to a subset of machine learning tasks known as supervised learning
(SL). In SL, a model is trained on labelled data to generate correct labels for novel data thereafter. Robust
classifiers can be achieved in SL by using the “kernel trick”, which provides a more expressive metric from a
transformed point of view. Strong theoretical and experimental results suggest an advantage in outsourcing
the kernel computation to a quantum processor; in an approach compatible with modular quantum devices.
The goal of this project is to determine which combinations of quantum and classical kernels are suited to
which types of data, and how the combined approach can improve upon single quantum kernels. Because
the near future likely entails noisy intermediate-scale quantum computers, the hybrid approach is among the
most viable for near-term quantum machine learning. Therefore, advances in this method will directly benefit
the partner organization, whose stated purpose is to develop software for the quantum era.

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Faculty Supervisor:

Juan Felipe Carrasquilla

Student:

Partner:

Agnostiq

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Developing operational efficiency strategies to build scalable internal processes

The project aims to develop a strategy to drive operational efficiencies across all of Viva’s core business functions.

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Faculty Supervisor:

Norah McRae

Student:

Partner:

Exec Viva Inc

Discipline:

Business

Sector:

Administrative and support, waste management and remediation services; Professional, scientific and technical services

University:

University of Waterloo

Program:

Business Strategy Internship

Développement d’un système de capture, visualisation et traitement de données pour le bien-être animal

Le Centre vétérinaire DMV a été fondé en 1993, par un groupe de vétérinaires avant-gardistes. Leur objectif est d’offrir une gamme étendue de services d’urgence et de soins spécialisés, dans un centre hospitalier permanent. Au fil des ans, le Centre vétérinaire DMV n’a cessé d’investir dans de l’équipement de pointe afin de permettre à ses spécialistes d’atteindre des taux de succès impressionnants. Avec comme mission le bien-être animal, DMV entreprend aujourd’hui un virage technologique en sciences des données. Spécifiquement, le défi majeur de DMV est de pouvoir développer un système de capture, visualisation et traitement de données pour le bien-être animal. Objectif général du projet : Développer un système de capture, visualisation et traitement de données pour le bien-être animal.

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Faculty Supervisor:

Maxime Raison

Student:

Partner:

Institut de valorisation des données;Centre vétérinaire DMV

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Business Strategy Internship

Public Engagement and Research on Lake Simcoe area Official Plans

The Rescue Lake Simcoe Coalition wants to be more effective at engaging both at the individual level and the municipal government level around urban sprawl. The intern will bring capacity and develop tools and insights to do this more effectively via a concentrated project in the lead up to the municipal election.

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Faculty Supervisor:

Laura Taylor

Student:

Partner:

Rescue Lake Simcoe Coalition

Discipline:

Sociology

Sector:

Arts, entertainment and recreation; Professional, scientific and technical services

University:

York University

Program:

Business Strategy Internship

Ideation in the company creation process

Amplitude Ventures mission is centered around creating, growing and accelerating companies based on Canadian innovative research. Our goal with this project is to continue developing our company creation process. We will identify innovative scientific concepts that have the potential to evolve into IP and constitute a company in the future with the goal of designing the roadmap for the technological development and commercialization of such technology.

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Faculty Supervisor:

Gary Armstrong

Student:

Partner:

Amplitude Ventures

Discipline:

Life Sciences

Sector:

Finance and Insurance

University:

McGill University

Program:

Business Strategy Internship

Operationalizing Key Quality Indicators of Glaucoma and Cataract Care in Alberta

Glaucoma and cataracts are separate, but serious conditions of the eyes. If not properly managed, both can lead to significant vision loss. Currently, there is limited quality monitoring of vision care across the Alberta. The standardized use of performance measures that evaluate the glaucoma and cataract care is paramount to improving the quality of vision care across the province. The purpose of this study is to explore how to provincially integrate a key set of performance measures of glaucoma and cataract quality of care. This project will co-design implementation strategies based on the preferences and priorities of vision care providers and individuals living with glaucoma and cataracts to support the consistent monitoring of vision quality of care. By developing feasible and sustainable provincial quality monitoring strategies, we will support Alberta Health Services to effectively monitor and enhance vision care practices to improve patient outcomes and efficiency of healthcare delivery.

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Faculty Supervisor:

Elisavet Papathanassoglou;Kiran Pohar Manhas

Student:

Partner:

Alberta Health Services

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Public administration; Retail trade

University:

University of Alberta

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.