Innovative Projects Realized

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

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Experimental study of dynamic properties of gravelly soils with varying degree of saturation

Dynamic shear modulus and damping ratio are two important dynamic parameters that are employed in the analysis of soil-structure interactions, soil liquefaction, slope stability under earthquakes or other dynamic loadings. The dynamic properties of gravelly soils have been extensively studied; however, the past studies primarily focus on sandy gravels with fines less than 10%, with no consideration given to the effect of the degree of saturation. This study centers on gravelly soils with a larger amount of fines (i.e., 13% -20%) taken from a site in Victoria, BC. A series of large cyclic triaxial shear tests will be performed on this type of soil, in which variations of dynamic shear modulus and damping ratio with the degree of saturation will be investigated. The outcomes of this project will help advance the understanding of the dynamic properties of gravelly soils and improve the seismic stability analysis of earth structures made of this material.

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Faculty Supervisor:

Cheng Lin

Student:

Partner:

Ryzuk Geotechnical

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Projet S.C.O.P.E. (Systematic Chiropractic Observation of Practice Evidences): évaluation préliminaire d’une application web pour la collecte de données au sein d’un réseau national de recherche en milieu clinique

Ce projet repose sur le développement d’une riche synergie entre milieux cliniques et de recherche. La collecte
systématique de données cliniques, via l’intégration d’une application web permettant d’administrer des
questionnaires, permettrait aux chiropraticiens de non seulement raffiner leur prise de décision clinique, mais
aussi de personnaliser leurs approches thérapeutiques et ainsi optimiser les issues cliniques de leurs patients.
Notre projet propose le développement de trois livrables : 1) un répertoire contenant les questionnaires validés
en français et/ou anglais pertinent aux conditions musculosquelettiques; 2) un rapport descriptif présentant les
données collectées auprès des patients et des chiropraticiens; 3) un guide visant à faciliter l’implantation d’une
application web ( Patient Progress) dans le cadre d’un réseau de recherche clinique en chiropratique.

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Faculty Supervisor:

Marc-André Blanchette

Student:

Partner:

Association des chiropraticiens du Québec

Discipline:

Life Sciences

Sector:

Other services (except public administration)

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Sea lice resistance change over time in an Atlantic salmon breeding program

Atlantic salmon aquaculture is a strong economic driver in coastal communities within Canada. Within this growing industry, sea lice management is a large economic cost on an annual basis. Identifying genetic determinants around resistance to this infection is of utmost importance. This project will be built upon a current collaboration between UPEI and Huntsman to identify responses associated with sea lice resistance at different life stages in nucleus and benchmark families within a commercial Atlantic salmon broodstock program. The internship will examine historic data within the breeding program, as well as new infection studies, to identify whether re-infection has an impact on our current understanding of resistance to sea lice, and how this is related to field outcomes and infection levels over time.

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Faculty Supervisor:

Mark Fast

Student:

Partner:

The Huntsman Marine Science Centre

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Prince Edward Island

Program:

Accelerate

A Custom Imaging Pipeline for Automated Microscopy

In the human visual system, light that reaches the eye is processed by the brain and understood in shapes, colours, and intensities. In the instance of digital cameras, light that reaches a camera sensor must undergo processing to be presented in a human-readable format. The process that achieves this task is known as the in-camera processing pipeline, and is present among all digital cameras readily available to end consumers. While many of the problems of imaging are solved in an open-world format due to the prevalence of mobile phone cameras, the current techniques degrade under specific settings. One such setting is imaging cells through a microscope, where the subject of the image, intensity of light, and stringent requirements of a medical context provide novel constraints not encountered in common imaging scenarios of mobile phones. This project develops proprietary algorithms and calibration techniques for imaging cells with cameras found in mobile phones for medical diagnosis.

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Faculty Supervisor:

Michael S. Brown

Student:

Partner:

Vital Biosciences Inc. Mississauga

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

York University

Program:

Accelerate

Frailty risk detection from primary care electronic medical records

Older adults with frailty are at high-risk of declines in their health and do not bounce back as well as their non-frail counterparts. These patients are among the highest users of health care because they end up in crises and go to emergency, are hospitalized, or die. But, if frailty is detected and managed earlier, before negative events occur, it can improve patient outcomes and decrease health system costs. Currently, frailty detection relies on tools that take added time and resources that family doctors do not have. This project will develop and test an automated tool that will detect these high-risk patients from existing electronic medical records using natural language processing and machine learning techniques. This frailty risk detection tool will help doctors and patients action plan together to reduce their risk, avoid negative events, and remain healthier in their communities.

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Faculty Supervisor:

Linglong Kong

Student:

Partner:

CARM&A Health Inc

Discipline:

Mathematics

Sector:

Health and Related Sciences & Technology

University:

University of Alberta

Program:

Accelerate

Informatisation du processus de géneration des rapports de proposition et de solutions des clients de S3R avec hébergement dans le cloud

Ce projet porte sur l’automatisation d’une partie des processus d’une petite entreprise, soit l’entreprise S3R qui oeuvre dans le domaine environnemental. Plus particulièrement, il consiste à développer un système informatisé de gestion visant à automatiser la production des rapports incluant les solutions proposées aux clients. L’entreprise profitera de ce projet de deux façons. Dans un premier temps, la mise en place de l’outil de production de rapports libèrera du temps de personnel hautement qualifié. Ceci leur permettra de produire plus de rapports dans un même temps, et par conséquent augmenter les revenus de l’entreprise. Dans un deuxième temps, l’outil servira de base à d’autres fonctionnalités qui pourront lui être greffées dont un outil d’aide à la décision en ce qui a trait à l’optimisation de la solution pour un client donné, ainsi qu’un outil de suivi de la performance de la solution proposée à un client à l’aide de tableaux de bord.

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Faculty Supervisor:

Suzanne Marcotte

Student:

Partner:

S3R

Discipline:

Computer science

Sector:

Commercial Services; Information and Communications Technology; Sustainability & the Environment

University:

Université du Québec à Montréal

Program:

Accelerate

Data Analysis of Processing Infrasound Emissions from Maritime Vessels

Infrasonic signatures are long wave acoustic signals in the under 20 Hz range (below human hearing). The partner organization has been experimenting with infrasonic sensor systems to achieve 2 key outcomes: a) detection clear air turbulence to benefit commercial air travel and b) detection of marine vessels.
The ability to detect clear air turbulence from the host aircraft in real time offers a savings to the airline industry (between $500M and $1B per year) in lost time accidents and costly fly arounds for suspected turbulence. “Climate modelling studies have indicated that the amount of moderate-or-greater clear-air turbulence on transatlantic flight routes in winter will increase significantly in future as the climate changes.” (1). The partner organization has 2 major projects in progress with commercial partners and is currently collecting data from both, commercial jet trials as well as ground based marine vessel traffic using their own array.
Each of these campaigns is creating a deluge of datasets that require leading edge analysis from the intern to understand the relationships between the infrasonic source and the sensor location, be they stationary and/or airborne.

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Faculty Supervisor:

Zhao Pan

Student:

Partner:

Stratodynamics Aviation Inc.

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

La dégradation des relations franco-britanniques

L’année 2021 est marquée par un accroissement significatif des tensions dans la relation entre la France et le Royaume-Uni. Les confrontations entre le président Macron et le premier ministre Johnson se sont accumulés, allant de mal en pis.
Pourtant, la relation franco-britannique en matière de défense et de sécurité se porte particulièrement bien depuis les traités de Lancaster House signées en 2010. Avec ces traités, les projets conjoint en matière de déploiement de troupes à l’étranger, de partage d’expertise dans le domaine du nucléaire et des collaborations dans la politique industrielle d’armement se sont multipliés dans le cadre d’une relation désormais fortement institutionnalisée, si bien qu’il était estimé que cette relation serait à l’abri des aléas de la politique.
La situation de tension actuelle permet donc de vérifier de quelle façon la politique affecte le travail de coopération au niveau bureaucratique. L’objectif plus général de cette recherche est de chercher à comprendre les facteurs qui expliquent l’émergence de la conflictualité entre deux pays pourtant alliés et amis et de comprendre la dynamique de la répercussion sur les différentes facettes qui constituent une relation bilatérale.

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Faculty Supervisor:

Frédéric Mérand

Student:

Partner:

The Open University

Discipline:

Sociology

Sector:

Other

University:

Université de Montréal

Program:

Globalink Research Award

L’origine évolutive des dihydrofolate reductases de type B

Les enzymes dihydrofolate réductases de type B (DfrB), identifiées pour la première fois dans les années 1970, confèrent une forte résistance à l’antibiotique triméthoprime. Depuis, ces enzymes ont été étudiées en détail de manière enzymatique et biophysique. Alors que ces enzymes sont connues depuis cinquante ans, leur origine évolutive demeure un mystère. Ainsi, cette recherche a comme objectif d’identifier comment les DfrB ont évoluées pour se rendre chez les bactéries pathogènes modernes. Pour nous y prendre, nous allons parcourir des bases de données génomiques et métagénomique à la recherche de protéines nous permettant de reconstruire le chemin évolutif des DfrB. Nous souhaitons ainsi proposer un mécanisme pour l’émergence des DfrB dans les années 1970. Ainsi, cette recherche permettra d’approfondir nos connaissances sur l’évolution des mécanismes de résistance aux antibiotiques, un enjeu majeur de la médecine moderne.

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Faculty Supervisor:

Joelle Pelletier

Student:

Partner:

Tel Aviv University

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Environmental Science and Technology; Health and Related Sciences & Technology

University:

Université de Montréal

Program:

Globalink Research Award

Développement d’un nouveau magnétomètre

Le projet consiste à développer une nouvelle génération de magnétomètre qui mesure les propriétés magnétiques d’un matériau. Cet appareil consiste à faire osciller un échantillon de matériau dans un tube d’une bobine de détection à une autre. Ce présent stage se concentrera d’abord sur le contrôle du mouvement vertical de l’échantillon. Cela implique la conception et la fabrication de ce système mécanique ainsi que l’automatisation de ce système. Une seconde partie de ce projet consiste en l’acquisition informatique du signal des bobines qui est généré par le mouvement de l’échantillon. En dernier, il faudra évaluer ces signaux pour en ressortir de l’information pour caractériser les propriétés magnétiques du matériau utilisé.

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Faculty Supervisor:

François Ferland

Student:

Partner:

Université Grenoble Alpes

Discipline:

Engineering

Sector:

Education

University:

Université de Sherbrooke

Program:

Globalink Research Award

Assessing the impact of life history on the end-Pleistocene survival and extinction of Beringian carnivorans

Carnivores are critical components of ecosystems and changes to carnivore communities can impact entire food webs. Modern North American carnivore communities are sparse compared with those elsewhere, with many of the largest species having gone extinct at the end of the Pleistocene, about 11.7 thousand years ago. Today, many species of carnivore that survived the end-Pleistocene extinction are endangered due to anthropogenic climate change, hunting, and habitat loss. By looking at the ecological factors involved in the end-Pleistocene extinction, we can begin to understand the factors that place carnivores today at the highest risk. This project will use bone histology and stable isotope analysis to investigate the ecologies of carnivore species in the Pleistocene and identify the factors making species more likely to go extinct. By generating new insights into the causes of extinctions in the past, these data can be used to identify conservation priorities for carnivores today.

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Faculty Supervisor:

Jeremy Kerr

Student:

Partner:

Canadian Museum of Nature

Discipline:

Life Sciences

Sector:

Arts, entertainment and recreation

University:

University of Ottawa

Program:

Accelerate

Research and implementation of machine learning model deployment and management platform based on IoT big data environment for safer fleets and smart cities

Road safety has been a major concern to everyone. Geotab has collected driving and environmental data from over 2 million connected vehicles, looking for the solution for safe communities and cities. To reduce accidents, it is needed to understand both driving behavioral patterns that are predictive of accidents, and the environmental factors involved. To achieve this, the data infrastructure should be capable of processing a series types of real- time video and telematic data, as well as time-series historical records generated from existing machine learning models to respond to real world incidents within a short period of latency. The objectives of this project is to research and develop algorithms to enhance aggregation efficiency for telematics data with different sampling rates and volumes. This project also involves developing and implementing data processing infrastructure components for real-time and historical video/telematics data in a distributed system manner.

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Faculty Supervisor:

Ben Liang

Student:

Partner:

Geotab Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services; Transportation and warehousing

University:

University of Toronto

Program:

Accelerate

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