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

Nutrition, Genetics and Athletic Performance

This project will result in the expansion of an athlete-focused genetic test to include additional genetic markers and algorithms for the purpose of personalized caffeine advice for endurance and other forms of exercise (strength, power, anaerobic-power) through continued analysis of 23 caffeine-associated genes that affect an athlete’s response to caffeine (positive, negative or no effect). The intern has already collected all necessary data, from over 100 athletes, from her previous doctoral research. She has already published some of her caffeine-associated findings. Other genes associated to body composition, dietary intakes and muscle physiology will also be investigated. Additional research in this area will directly benefit the partnering company, Nutrigenomix Inc., as developer of genetic tests for personalized sports nutrition available in 35 countries. The mission of Nutrigenomix is to maintain its position as one of the world’s leading providers and most trusted source of DNA-based nutrition information in a competitive marketplace. To achieve this goal, it is imperative that the company continues novel high-quality research to strength the quality of breadth of its products and services. TO BE CONT’D

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Faculty Supervisor:

John L Sievenpiper

Student:

Partner:

Nutrigenomix Inc;University of Toronto

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Elevate

Quand le patrimoine naturel rejoint le patrimoine culturel : les écosystèmes pyrophiles comme indicateurs d’activités humaines précoloniales au Bas-Saint-Laurent

Les feux naturels sont actuellement rares au Bas-Saint-Laurent et leur dynamique holocène demeure mal connue. Les écosystèmes pyrophiles exceptionnels, tels que les pinèdes, pourraient témoigner de feux naturels historiques. Les pins pourraient aussi avoir été favorisés par les activités humaines précoloniales. Les Autochtones, et notamment les Malécites, pourraient être impliqués dans le maintien de ces espèces. Ce projet vise à comprendre l’origine et la dynamique des pinèdes du BSL en relation avec les feux naturels et anthropiques. La corrélation spatiale entre la présence contemporaine de pinèdes et celle de sites archéologiques malécites sera testée grâce à une analyse cartographique (SIG). La présence de pinèdes de faible superficie sera vérifiée sur le terrain et dix d’entre elles seront sondées pour vérifier la présence de charbons et/ou vestiges. Les résultats du projet seront utilisés pour recommander d’identifier certaines pinèdes rares comme relevant de Forêts de Haute Valeur pour la Conservation (FHVC).

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Faculty Supervisor:

Guillaume de Lafontaine

Student:

Partner:

Corporation de gestion de la certification forestière des territoires publics du Bas-Saint-Laurent

Discipline:

Life Sciences

Sector:

Agriculture

University:

Université du Québec à Rimouski

Program:

Accelerate

Effect of Music on Interbrain Synchrony: A Close Look at Triad of Disabled Children, Parents and Music Therapist – Year two

Kids with one, two or three or more disabilities require special care and rehabilitation services. Specifically, for children with severe disabilities who are non-speaking, the opportunities for social interaction and participation are often limited. However, it is believed that these children continue to form relationships with those around them and that the brain encodes these interpersonal connections. One way to study these interpersonal brain connections is to examine the interbrain coordination between children, parents and a therapist. To this goal, we will compare the brain states of children, one of their parents and an attending therapist, in two activity settings: a music session and a story-telling session. These data are being collected at Holland Bloorview Kids Rehabilitation Hospital. This post-doctoral fellowship will focus on developing advanced machine learning and data mining algorithms to dissect these data. These data are not easily analyzed with conventional methods as they are non-stationary, multi-channel, spatially correlated within-individual, and originating from multiple individuals. The findings from this research will advance the care of children and youth with disabilities globally.

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Faculty Supervisor:

Tom Chau

Student:

Partner:

Holland Bloorview Kids Rehabilitation Hospital Foundation;University of Toronto

Discipline:

Life Sciences

Sector:

Finance and Insurance; Health and Related Sciences & Technology

University:

University of Toronto

Program:

Elevate

Développement d’une technique améliorée d’infusion de résinethermodurcissable pour la fabrication de pièces en matériaux composites à hauteperformance.

L’objectif principal du projet de recherche est de développer une nouvelle technique
économique de fabrication de pièces en matériaux composites à haute performance, pour le domaine aeronautique et operationnel chez Marquez. L’integration des nouvelles techniques
vise I’amelioration de la robustesse du procede, en minimisant les temps de cycle, les pieces
rejets et en limitant la variabilite du procetie. La nouvelle technologie qui sera developpee
dans Ie cadre de ce projet de maltrise permettra a Marquez de se demarquer en offrant des
pieces en materiaux composites a haute performance avec des cadences plus rapides et a
moindre coOt que les technologies concurrentes.

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Faculty Supervisor:

Pascal Hubert;Simon Joncas

Student:

Partner:

Marquez

Discipline:

Physics

Sector:

Technology; Manufacturing and Construction

University:

École de technologie supérieure; McGill University

Program:

Accelerate

Effect of Music on Interbrain Synchrony: A Close Look at Triad of Disabled Children, Parents and Music Therapist

Kids with one, two or three or more disabilities require special care and rehabilitation services. Specifically, for children with severe disabilities who are non-speaking, the opportunities for social interaction and participation are often limited. However, it is believed that these children continue to form relationships with those around them and that the brain encodes these interpersonal connections. One way to study these interpersonal brain connections is to examine the interbrain coordination between children, parents and a therapist. To this goal, we will compare the brain states of children, one of their parents and an attending therapist, in two activity settings: a music session and a story-telling session. These data are being collected at Holland Bloorview Kids Rehabilitation Hospital. This post-doctoral fellowship will focus on developing advanced machine learning and data mining algorithms to dissect these data. These data are not easily analyzed with conventional methods as they are non-stationary, multi-channel, spatially correlated within-individual, and originating from multiple individuals. The findings from this research will advance the care of children and youth with disabilities globally.

View Full Project Description
Faculty Supervisor:

Tom Chau

Student:

Partner:

Holland Bloorview Kids Rehabilitation Hospital Foundation;University of Toronto

Discipline:

Life Sciences

Sector:

Finance and Insurance; Health and Related Sciences & Technology

University:

University of Toronto

Program:

Elevate

Application of advanced analytics in PEM fuel cell development and engineering

This project is a collaboration between Triptech Engineering and Software Services LTD and Laboratory for Alternative Energy Conversion (LAEC) at SFU to develop data analytics solutions for PEM fuel cell industry. The fuel cell industry is suffering from component/system failure and coping with analysis of tremendous amounts of data. Knowledge extraction from this complex data is necessary to predict key factors of component/system failure and enhance the reliability and lifetime of fuel cells. Data analytics has superior diagnostics/prognostics capabilities and is revolutionizing various fields of science and engineering by detecting unseen patterns and new knowledge hidden in massive databases of these disciplines. This project aims to exploit the power of data analytics to develop data solutions for the fuel cell industry.

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Faculty Supervisor:

Majid Bahrami

Student:

Partner:

Triptech Engineering and Software Services LTD

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Liquid biopsy for the discovery of new methods of cancer diagnosis and new treatment strategies – Year two

Despite the improvements in cancer diagnostic and treatment, cancer is still a leading cause of death in Canada with 30% of all deaths. Some cancers, like pancreatic cancer (PC), still have poor survival rates due to the lack of early diagnosis and good prognostics markers. The Atlantic Cancer Research Institute (ACRI) has developed a proprietary technology to capture extracellular vesicles (EVs) from various biofluids with the goal to deliver precision medicine solutions through liquid biopsy technologies. Cancer cells are known to secrete EVs that carry almost every cell molecular components. This project aims to compare many components of EVs captured in plasma from cancer patients and healthy controls. The main goals of this project are to establish particular disease biosignatures and to evaluate their potential to detect and identify cancers earlier, and to evaluate the efficiency of the treatments by monitoring cancer progression. This could result in significant economic benefits for our health care systems by making sure the treatment is right for the patient and by halting expensive treatments for non-responders sooner. This represents a business opportunity if health care systems or diagnostic companies form a partnership with ACRI for the diagnosis and monitoring of cancer patients.

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Faculty Supervisor:

Marc Surette

Student:

Partner:

Atlantic Cancer Research Institute

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Université de Moncton

Program:

Elevate

Liquid biopsy for the discovery of new methods of cancer diagnosis and new treatment strategies

Despite the improvements in cancer diagnostic and treatment, cancer is still a leading cause of death in Canada with 30% of all deaths. Some cancers, like pancreatic cancer (PC), still have poor survival rates due to the lack of early diagnosis and good prognostics markers. The Atlantic Cancer Research Institute (ACRI) has developed a proprietary technology to capture extracellular vesicles (EVs) from various biofluids with the goal to deliver precision medicine solutions through liquid biopsy technologies. Cancer cells are known to secrete EVs that carry almost every cell molecular components. This project aims to compare many components of EVs captured in plasma from cancer patients and healthy controls. The main goals of this project are to establish particular disease biosignatures and to evaluate their potential to detect and identify cancers earlier, and to evaluate the efficiency of the treatments by monitoring cancer progression. This could result in significant economic benefits for our health care systems by making sure the treatment is right for the patient and by halting expensive treatments for non-responders sooner. This represents a business opportunity if health care systems or diagnostic companies form a partnership with ACRI for the diagnosis and monitoring of cancer patients.

View Full Project Description
Faculty Supervisor:

Marc Surette

Student:

Partner:

Atlantic Cancer Research Institute

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Université de Moncton

Program:

Elevate

Fluoride Removal from Brine Solutions

NORAM Engineering and Constructors have a technology called salt splitting. This technology is used to produce caustic soda and sulfuric acid. However, the presence of fluoride in this technology can cause the breakdown of the coating on the titanium anode, which can cause premature anode failure. As replacing these titanium anodes can incur significant costs, purification in this technology to reduce its fluoride concentration is imperative. This project therefore seeks to obtain the fundamental understandings of this mechanism on the fluoride removal by using ion exchange resin, and potentially mitigate this technical challenge.

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Faculty Supervisor:

David Dreisinger

Student:

Partner:

NORAM

Discipline:

Engineering

Sector:

Mining; Natural Resources; Water

University:

The University of British Columbia

Program:

Accelerate

Natural products for Spotted Wing Drosophila (SWD) pest management

Spotted Wing Drosophila is an aggressive invasive pest that is high research and management priority for the BC and Canadian berry and small fruit industry. Spotted Wing Drosophila can substantially reduce crop yields despite heavy uses of chemical insecticides, which in some cases can be harmful to the environment and human health. Botanical extracts from plants and insecticidal microbes that are naturally toxic to insects have great potential to provide enviromentally-friendly options for growers to manage Spotted Wing Drosophila. The proposed research will evaluate botanical extracts from the Neem tree, Azadirachta indica, and from the Pongamia pinnata (Karanja) tree, and plant and soil associated microbial isolates for insecticidal and pest repellent effects in collaboration with Terramera Inc. We will evaluate oil extracts from these trees, specifically Neem and Karanaja oil, and screen microbial isolates for their compatibility with Spotted Wing Drosophila biological control agents, including Bacillus thuringiensis. We will determine the specific effects of these natural products, including their lethal and sub-lethal effects, on Spotted Wing Drosophila in the lab, greenhouse and field.

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Faculty Supervisor:

Juli Carrillo

Student:

Partner:

Terramera Inc

Discipline:

Life Sciences

Sector:

Agriculture; Manufacturing; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Elevate

Improving avalanche forecasts in data-sparse areas with physical snowpack modelling – Year two

Assessing dangerous avalanche conditions requires a reliable stream of weather and snowpack data, which can be difficult and expensive to collect in many remote areas of Canada. Snowpack conditions can be simulated in these areas by coupling weather forecast models with physical snowpack models, however, this method has had limited adoption by avalanche forecasters. The proposed project will increase the adoption of snowpack models by developing a dashboard that allows Avalanche Canada forecasters to visualize spatial snowpack patterns, alarm them of critical changes, and provide an assessment of the model’s accuracy. Novel methods of comparing model output with snow observations will be investigated and spatial clustering methods will offer a new dynamic view of regional snowpack patterns. The project will improve the accuracy and quality of Avalanche Canada’s public safety products and warnings in data-sparse areas.

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Faculty Supervisor:

Pascal Haegeli

Student:

Partner:

Avalanche Canada

Discipline:

Earth science

Sector:

Arts, entertainment and recreation

University:

Simon Fraser University

Program:

Elevate

Improving avalanche forecasts in data-sparse areas with physical snowpack modelling

Assessing dangerous avalanche conditions requires a reliable stream of weather and snowpack data, which can be difficult and expensive to collect in many remote areas of Canada. Snowpack conditions can be simulated in these areas by coupling weather forecast models with physical snowpack models, however, this method has had limited adoption by avalanche forecasters. The proposed project will increase the adoption of snowpack models by developing a dashboard that allows Avalanche Canada forecasters to visualize spatial snowpack patterns, alarm them of critical changes, and provide an assessment of the model’s accuracy. Novel methods of comparing model output with snow observations will be investigated and spatial clustering methods will offer a new dynamic view of regional snowpack patterns. The project will improve the accuracy and quality of Avalanche Canada’s public safety products and warnings in data-sparse areas.

View Full Project Description
Faculty Supervisor:

Pascal Haegeli

Student:

Partner:

Avalanche Canada

Discipline:

Earth science

Sector:

Arts, entertainment and recreation

University:

Simon Fraser University

Program:

Elevate

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