Innovative Projects Realized

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

13270 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

Carbon Materials Production and Utilization

Developed advanced carbonaceous materials from processed biomass is of interest for integration into a variety of high performance applications including, plastics, rubbers, adsorbents, and chemicals. Origin Materials has a patented process that converts waste biomass into 5-chloromethlyfurfural (CMF), furfural and hydrothermal carbon (HTC) as a by-product. This research project will examine the high-quality HTC by-product and identify an economically feasible valorization pathway, as well as preparation and property evaluation of surfactants derived and the potential to use furan-based aldehydes (i.e. CMF) as wood adhesives.

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Faculty Supervisor:

Paul Charpentier

Student:

Hooman Paysepar

Partner:

Origin Materials

Discipline:

Chemistry

Sector:

Natural resources

University:

Program:

Accelerate

Development of polyclonal antibodies to discriminate and quantify the gluten from three different sources

Current analytical methods used for gluten detection are not able to discriminate the specific source of gluten and tend to overestimate the overall gluten content if from rye and barley by at least 10-fold, leading to limit food choices for coeliac patients. The main objective of this research is to initiate the development of bioanalytical methods specific to wheat, barley and rye, with the aim to discriminate gluten sources and quantify total gluten with more accuracy.

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Faculty Supervisor:

Samuel Godefroy

Student:

David Poirier

Partner:

r-Biopharm Canada inc

Discipline:

Visual arts

Sector:

Forestry

University:

Program:

Accelerate

Characterization of Active Ingredient in Buckwheat

Buckwheat contains an active ingredient that lowers blood glucose in diabetic rats. The active ingredient is not a known compound such as chiro-inositol or rutin. The goal of this project is to fractionate buckwheat by a technique known as countercurrent chromatography (CCC) and determine the presence of a biological activity. This is important for setting the foundation to 1) monitor the levels of the active ingredient in buckwheat (as affected by variety, growing conditions and season), 2) determine how levels of active ingredient are affected by processing, 3) standardize the amount of active ingredient in functional food products and thus meet Health Canada requirements, and 4) provide a screening tool for further enhancement of buckwheat varieties by plant breeding.

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Faculty Supervisor:

Harold Aukema

Student:

Shokoufeh Ahmadi

Partner:

Prairie Skyline Ventures Ltd

Discipline:

Chemistry

Sector:

Forestry

University:

Program:

Accelerate

Mean flow stress modeling towards development of high strength steel

Hot rolling is one of the most significant processes during modern steel production. Complex metallurgical phenomena could take place during and after the application of high pressure and temperature, which largely affect the product properties. A simulation or model that could predict these microscopic events real time is extremely beneficial in the production. Therefore, the aim of this project is to firstly understand an existing model adopted by the partner organization and secondly, to use recorded production data to improve on an semi-empirical model with well-established philosophy developed by scholars, which eventually will be used to improve on the existing model. With the improved model, partner organization could better predict the quality of the product and could largely reduce cost in developing new production schedules.

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Faculty Supervisor:

Stephen Yue

Student:

Shuhong Shen

Partner:

Algoma

Discipline:

Engineering - other

Sector:

Manufacturing

University:

Program:

Accelerate

Elk habitat selection in Manitoba’s agricultural landscapes: understanding its effect on stress and reproductive success

In Manitoba, elk herds are either small or declining, and the relationship between farmland use by elk and population declines is unclear. Animals typically choose to either avoid predators or access good food resources when choosing habitat, and this trade-off may bring about natural selection if some individuals make better decisions than others. Our project seeks to understand how individual elk use the landscape in response to farmland. To do this, we will look at ranges of individual elk to determine how much farmland each individual uses as the amount of available farmland and predator pressure changes. Next we will look at the variation in nutrition, stress levels, and whether individuals give birth to calves depending on how much farmland they select. To BE CONT’D

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Faculty Supervisor:

Eric Vander Wal

Student:

Levi Newediuk

Partner:

Nature Conservancy Canada

Discipline:

Biology

Sector:

Environmental industry

University:

Program:

Accelerate

Development and evaluation of a mental skills training program in youth hockey

This project seeks to develop a mental skills training program for kids in youth hockey. The first part of the project will involve reviewing the literature to find out what is knows about mental skills in kids. We are interested in seeing how kids can use mental skills in sports and hockey and if certain skills are more important depending on the age of the player. Once we have a good idea of what is known about mental skills in youth we will interview elite hockey players to find out what they think of mental skills training and what kinds of mental skills they think are valuable for kids. We also want to know if they thought mental skills training was available to them of if it would have been useful for them growing up as youth players. TO BE CONT’D

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Faculty Supervisor:

Shawn Fraser

Student:

Kurtis Pankow

Partner:

CK Hockey Inc

Discipline:

Kinesiology

Sector:

Medical devices

University:

Program:

Accelerate

Order picking optimization at a pickup-van storage manufacturing warehouse

Ranger Design is a manufacturer of van storage units and accessories. Since order picking activities are considered to be an integral part of its warehouse operations and perceived to be conducive to significant improvements, re-engineering and optimization of the order picking process are in order. As such, the company is looking for an opportunity to reduce the travel time involved in order picking by re-engineering and optimizing the order picking process. This applied research project aims at developing an optimization model through which the most promising warehouse order picking operations in terms of travel time reduction are identified. The study will also address sensitivity analyses of input parameters. An implementation plan for the proposed order picking system will be presented.

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Faculty Supervisor:

Ahmet Satir

Student:

Tam Nguyen

Partner:

Ranger Design

Discipline:

Business

Sector:

Manufacturing

University:

Program:

Accelerate

Addressing homelessness in Prince Albert and surrounding community: A public policy and program evaluation approach

The proposed research project is a follow-up to the SSHRC funded Partnership Engage study entitled: “Addressing homelessness in Prince Albert: A multi-disciplinary, intersectoral approach. The purpose of the SSHRC study is to enhance the ability of PA to respond to homelessness by stimulating discussions and mutual collaboration between academic researchers, community leaders, social agencies, front-line workers, and the homeless population. The current Mitacs funded project will build upon the SSHRC study by providing a secondary analysis of project results from a public policy framework and conducting a formative evaluation of the Homeward Bound Housing First initiative. These reports will be valuable to YWCA in leveraging future funds, advocating to policy makers, and improving their own services. The intern will work closely with YWCA personnel to ensure the project meets their needs and reflects their interests at all stages.

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Faculty Supervisor:

June Anonson

Student:

Jade Anderson

Partner:

YWCA Prince Albert

Discipline:

Nursing

Sector:

Management of companies and enterprises

University:

Program:

Accelerate

Compound recommendation for plant health using machine learning and computational chemistry

Virtual screening is a computational technique used in drug discovery to search large libraries of small molecules in order to identify those structures which are most likely to bind to a drug target, typically a protein receptor or enzyme. Virtual screening is thought to have the potential to speed the rate of discovery by reducing the need for expensive and time-consuming lab tests to physically test thousands of diverse compounds, often with an expected hit rate on the order of 1% or less with still fewer expected to be real leads following further testing. The proposed project aims to develop computational models that would screen through large libraries of chemical compounds and recommend those with potential efficacy against desired indications in plants and crops. The models will be developed using data collected by Terramera, with high classification accuracy, according to threshold tolerances defined by Terramera scientists.

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Faculty Supervisor:

Martin Ester

Student:

Qingyuan Feng

Partner:

Terramera Inc

Discipline:

Computer science

Sector:

Forestry

University:

Program:

Accelerate

Making scholarship more practice and policy relevant: Analysis of the Canadian Journal of Development Studies’ peer review process and its implications

This project examines the peer review process of a leading Canadian academic journal focused on international development, with the goal to better understand how research knowledge is made accessible and relevant – or not – for policy makers and practitioners. The intern will analyze systematically the texts of submitted articles, comments provided by the scholars asked to evaluate these articles, journal editorial guidelines and the revisions the authors undertake, for evidence of efforts to make research accessible and relevant. He/she will also interview a subset of authors and reviewers for their views on this process. The quantitative and qualitative data collected will suggest new ways this journal and others might encourage high standards of scholarship as well as relevance for policy and practice.

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Faculty Supervisor:

Elizabeth Cooper

Student:

Lydia Gitanjali Thiagarajah

Partner:

Canadian Association for the Study of International Development

Discipline:

Anthropology

Sector:

Education

University:

Simon Fraser University

Program:

Accelerate

Customer Lifetime Value Prediction Engine: Retail Lending Products

Canada’s financial services industry faces significant challenges to remain internationally competitive in the rapidly evolving web and big data environments. Scotiabank and its global competitors have as a key priority effective use of a large and growing amount of data to optimize the design and pricing of product offerings, to communicate effectively with clients, and to mitigate risk. A key challenge is to correctly assess the true lifetime value of customers across multiple business product lines and to develop analytical methods capable of maximizing that value while meeting customer needs. Efficient large-scale mathematical and statistical modelling methods are core requirements to meet this challenge. The proposed project will focus on development of such methods.

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Faculty Supervisor:

Mikhail Nediak

Student:

Markiyan Kostiv

Partner:

Scotiabank

Discipline:

Business

Sector:

Finance, insurance and business

University:

Queen's University

Program:

Accelerate

Large data manipulation research to bolster the Canadian insurance industry and the macro-economy

Nuera has been acquiring customers and data for the past 3 years and is launching an internal initiative to mine the data to find insurance claims trends.  The objective of this initiative will consist of analysis and reporting on our data sets to find trends that lead to claims frequency and severity, in an effort to reduce claims costs, and consumer insurance pricing as a result. We will also be identifying customer behaviors and how those behaviors contribute to insurance purchasing and claims.

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Faculty Supervisor:

Rohana Ambagaspitiya

Student:

Mohanagowri Arumugam

Partner:

Nuera Insurance Inc.

Discipline:

Mathematics

Sector:

Finance, insurance and business

University:

University of Calgary

Program:

Accelerate

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