Completed Projects

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

13268 Completed Projects

1072
AB
2795
BC
430
MB
106
NF
348
SK
4184
ON
2671
QC
43
PE
209
NB
474
NS

Projects by Category

10%
Computer science
9%
Engineering
1%
Engineering - biomedical
4%
Engineering - chemical / biological

Resisted sprinting and ischemic preconditioning as ergogenic aids in high-level sprinters

With a rise in talent and the number of youths participating in athletics, Canada has a seemingly bright future in track and field at the international level. With the abundance of talent, it is important to improve the resources available to our competitors to continue promoting excellence. We propose to study two novel protocols which can be performed immediately prior to competition in order to enhance performance. Resisted sprinting, which involves sprinting with a weighted sled or using a training device such as the 1080-Sprint is the first protocol under examination. Based on previous research it is expected that our novel technique may improve sprint ability over a greater range of distances than previously able. Ischemic preconditioning, a type of pre-exercise blood flow manipulation protocol, which was initially developed to prevent cell death, will also be examined with high-level sprinters. This protocol has been tested in a variety of other types of activities such as repeated sprints, endurance activities and swimming, and has shown 1-3% improvements in performance. We are excited to partner with the Speed River Track and Field club, who have sent increasing numbers of athletics athletes to the Olympics each year. TO BE CONT’D

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Faculty Supervisor:

Jamie Burr

Student:

Kyle Thompson

Partner:

Discipline:

Food science

Sector:

Life sciences

University:

University of Guelph

Program:

Accelerate

Intelligent Residential Energy Management Utility Controller

To research, design, and develop a network communication and control modules that integrate any residential HAVC control system with a utility energy management user interface. Developed signal modulation scheme will be implemented on development testing board. Device will network with all utilities for gas, water, and electricity.

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Faculty Supervisor:

Jahangir Hossain

Student:

Imran Ahmed

Partner:

Thermo Matrix

Discipline:

Engineering

Sector:

Energy

University:

University of British Columbia Okanagan

Program:

Accelerate

Pelvic Floor Health and Sexual Well-Being in Men

The promotion and maintenance of men’s pelvic floor health is a growing concern as pelvic disorders affect a substantial number of men and their prevalence is expected to increase as a result of Canada’s aging population. Pelvic floor disorders go beyond their physical consequences as they can negatively impact men’s psychological, sexual, and social quality of life. Evidence strongly suggests pelvic floor muscle training can contribute to the promotion and maintenance of pelvic floor health and to the treatment of symptoms associated to pelvic floor disorders. Nonetheless, traditional ideals regarding men’s behaviours can be a barrier to their engagement in health promoting behaviours. The associations between men’s pelvic floor health, sexual health, and identification to traditional masculine ideals currently require a closer attention from researchers. Increasing evidence-based knowledge in this area will contribute to the development of effective interventions, products, and services focused on the maintenance and promotion of pelvic health and treatment of pelvic floor disorders that are tailored to men’s experiences and needs.

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Faculty Supervisor:

Elke Reissing

Student:

Emilie Gravel

Partner:

Standard Innovation Corporation

Discipline:

Psychology

Sector:

Medical devices

University:

University of Ottawa

Program:

Accelerate

Developing Prediction Models on S&P 500 Index using Social Sentiment and News Events

Project is to import ten year’s of historical data on news events, public sentiment metrics and the price movement of S&P 500 related equities for study and analysis through the latest Data Mining and Machine Learning techniques. The goal is to uncover correlation and causality between events and price movement of global markets in multiple timeframes (three hours, daily, weekly, monthly and yearly). Specifically, the research would answer the question which features (metrics) generated from initial news and sentiment data have predictive power and which don’t. Predictive models based on the studies will be developed, compared, and evaluated.

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Faculty Supervisor:

Fred Popowich

Student:

Denis Zubo

Partner:

EOTPRO

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Simon Fraser University

Program:

Accelerate

Developing Grassland Songbird Management Targets for Multi-Species Conservation on Mixed-grass Prairie Rangelands

The goal of this project is to develop management targets for grassland songbirds on native rangelands in western Saskatchewan. This research will identify grassland conditions required by priority species and examine how these differ between species and throughout prairie regions with very different soil and moisture conditions. Because native rangelands that are used for forage production make up such a large proportion of the remaining native prairie the project will also evaluate and promote the role of these systems in maintaining grassland songbird populations as well as a healthy and functional environment. Information that is collected will be relevant to conservation agencies and livestock producers and is expected to result in long-term economic benefits to the region.

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Faculty Supervisor:

Mark Brigham

Student:

Phillip Rose

Partner:

Saskatchewan Forage Council

Discipline:

Biology

Sector:

Environmental industry

University:

University of Regina

Program:

Accelerate

Recurrent Deep Architectures for Modeling Time Series Data

Deep learning is currently the dominant machine learning technique as a result of state of the art performance in vision (Russakovsky, et al., 2015), speech (Amodei, et al., 2015) and natural language processing (Vinyals et al., 2015). The improvement in performance of these models is attributed to the availability of large datasets for training the models as well as software & hardware improvements that help accelerate the training process. Recurrent Neural Networks (RNNs) are one of the most powerful and popular frameworks for modeling sequential data such as speech and text. We propose to create an open source implementation of scalable, “industrial-strength”, RNN models. These models can then be fine-tuned and trained to perform specific prediction tasks on time series datasets from finance and insurance sectors.

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Faculty Supervisor:

Graham Taylor

Student:

Nikhil Sapru

Partner:

RBC Financial Group

Discipline:

Engineering

Sector:

Information and communications technologies

University:

University of Guelph

Program:

Accelerate

Algae Wastewater Treatment Rosebud Pilot

Symbiotic EnviroTek Inc, in collaboration with the University of Calgary is undertaking a research project that will pilot and validate the efficacy and robustness of algae as a wastewater treatment technology and demonstrate a new business model for municipal wastewater infrastructure. The project provides a unique opportunity to optimize system performance in a pilot scale commercial environment, on site in the community to be served by the technology. Successful completion of this study, will result in the development of a best practicable wastewater treatment technology to be used by municipalities in Alberta and across Canada, improving environmental and water quality in rural communities and generating several new employment opportunities. Wheatland County is collaborating with Symbiotic in the pilot before deploying the full scale biofield in the community of Rosebud.

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Faculty Supervisor:

Hector Siegler

Student:

Vani Sankar

Partner:

Symbiotic Envirotek Inc

Discipline:

Biology

Sector:

Environmental industry

University:

University of Calgary

Program:

Accelerate

Soil Gas Field and Analytical Research at Tundra Sinclair Field

Carbon Capture and Storage (CCS) can deliver needed substantial emission reductions as we transition to alternative fuels. However, it is important to verify that CO2 being injected into the subsurface is well contained within the geologic container. This student will construct soil gas wells, as well as conduct surface monitoring research to define normal fluctuations of soil gases in soil, and compare to situations of expected leakage. This research will contribute to improved surface monitoring practice and better public acceptance of CCS, and will contribute toward the larger Tundra Sinclair CO2 Project initiative.

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Faculty Supervisor:

David Risk

Student:

James Williams

Partner:

Tundra Oil & Gas

Discipline:

Geography / Geology / Earth science

Sector:

Environmental industry

University:

St. Francis Xavier University

Program:

Accelerate

Towards Detection of Subclinical Joint Bleeds in Hemophiliacs: Advanced Imaging

This project aims to assess how the use of the novel “ultra-short echo-time” (UTE) MR imaging technology can “add value to” conventional MRI for detection and quantification of blood products in hemophilic joints. We will test this novel technology in joints of hemophilic patients with different stages of arthropathy presenting with blood products at different stages of degradation as compared with existing MRI sequences. With this study we should initiate the process of validation of UTE MRI for assessment of hemophilic joints at a time where joint changes are still reversible and could be “saved” from arthropathy. We should also be able to make recommendations on an optimal protocol for assessment of hemophilic joints. We hope that this new technique improves diagnosis and management of hemophilic patients by guiding prophylaxis in places where development and/or progression of arthropathy can be delayed or interrupted by regular infusions of factor concentrate replacement.

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Faculty Supervisor:

Andrea Doria

Student:

Haris Majeed

Partner:

Siemens Healthcare Ltd.

Discipline:

Medicine

Sector:

Medical devices

University:

University of Toronto

Program:

Accelerate

Developing metabarcoding approaches to describe the fish diversity within a diversity of aquatic habitats

Evaluating the impact of multiple stressors on aquatic ecosystems often requires robust biodiversity estimates. Traditional methods for sampling fish communities are very costly, may have a significant share of inaccuracy and require specialized taxonomic expertise and have numerous other inherent limitations.
The general objective of our proposed project is:
• to develop and validate genomic tools that will allow accurate monitoring of biodiversity and to compare results from traditional sampling techniques with biodiversity estimates based on refined metabarcoding approaches to describe the fish and diversity within a diversity of impacted aquatic habitats;
• to develop, test and apply advanced environmental genomics tools to predict and mitigate the responses of aquatic communities under environmental stressors.

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Faculty Supervisor:

Melania Cristescu

Student:

Joanne Littlefair

Partner:

WSP

Discipline:

Biology

Sector:

Environmental industry

University:

McGill University

Program:

Accelerate

Genomic methods for herbal supplement quality assurance

It is critical for consumers to be assured that Natural Health supplements being purchased commercially are of high quality and contain the ingredients as listed on labels. For regulatory agencies to make such assurances, it is important that third-party product testing be carried out to identify the presence of the appropriate botanicals and their active ingredients. This project will begin to address the need for standardized authenticated reference materials from which appropriate quality control tests can be developed. In collaboration with ISURA, Canada’s only independent natural health supplement and food product verification and certification organization, an intern will work to develop authenticated, open-source, botanical reference materials, in response to the needs of industry and government. This project is an essential element in order for Canadian natural health product suppliers to appropriately serve growers, manufacturers, retailers and consumers, and will provide critical information to Canadian regulatory agencies.

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Faculty Supervisor:

Jonathan Van Hamme

Student:

Afsana Islam

Partner:

ISURA

Discipline:

Biology

Sector:

Agriculture

University:

Thompson Rivers University

Program:

Accelerate

Towards personalized surgical spine reconstruction post tumour resection

We aim to develop tools to assess patient outcomes following treatment and removal of bone metastases. We will identify markers for enhanced patient outcomes, so as to predict which patients may benefit from more aggressive treatments to better their quality of life. We also aim to use 3D printed bone implants to help in the treatment of patients with bone metastasis. These implants will serve as a local reservoir for the anticancer drugs that will improve bone regeneration while also preventing tumor recurrence. These agents have been shown to improve the efficacy of bone implants in severe bone fracture repair. Moreover, they have recently been shown to have direct anti-cancer activities. We plan to harness those beneficial activities to the fullest by obtaining local high doses of these drugs at the site of tumor resection that could not be achieved by oral or intravenous administration.

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Faculty Supervisor:

Lisbet Haglund

Student:

Elie Akoury

Partner:

Johnson & Johnson Inc. Canada

Discipline:

Medicine

Sector:

Medical devices

University:

McGill University

Program:

Accelerate

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