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

The Developmental Health of Children and Youth participating in Out-of-School Programs

In order to grow into healthy, successful adults, children need environments that support their physical and mental health, engage them in learning, and help them to develop social skills. Out-of-school programs are one kind of support that can help shape children’s futures in a positive way. Out-of-school programs are provided outside of regular school hours with the goal of supporting healthy behaviours, boosting school performance, making relationships stronger, and otherwise helping children to fulfill their potential.
The Boys and Girls Clubs of Winnipeg (BGCW) provide out-of-school programs for children and youth in Winnipeg. Although BGCW have been operating for many years, their programs have never been evaluated to see whether children who participate have better outcomes than children who do not participate.
This project will look at whether children and youth who attend BGCW’s programs:
– have better physical/mental health;
– have fewer teen pregnancies or suicide attempts;
– perform better in school and are more likely to graduate high school;
– are more likely to avoid being involved with any criminal; and
– are less likely to need income assistance as adults,
compared to children and youth who do not attend these programs.
“TO BE CONT’D”

View Full Project Description
Faculty Supervisor:

Marni Brownell

Student:

Jennifer Enns

Partner:

Boys and Girls Clubs of Winnipeg

Discipline:

Kinesiology

Sector:

Management of companies and enterprises

University:

Program:

Accelerate

Examining brain activity and sport-specific skill learning due to motor imagery

This research will use a brain imaging device newly developed by Axem Neurotechnology to investigate whether providing real-time information on levels of brain activity can help human participants more effectively engage in mental practice. Mental practice has become a widespread addition to the training schedules of elite athletes, as it has been well documented that upon completion of optimal levels of physical training, further performance benefits can be achieved from additional practice consisting solely of imagining performance. However, unlike physical practice, there is no overt sign of how effectively mental practice is being engaged by the athlete, making it difficult for coaches to track progress and for the athletes themselves to stay engaged during mental practice. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Shaun Boe

Student:

Sarah Kraeutner

Partner:

Axem Neurotechnology

Discipline:

Psychology

Sector:

Information and communications technologies

University:

Program:

Accelerate

Model development for membership analytics

This project will lay a foundation for Interior Savings Credit Union to better serve their membership by providing them with the means to discover significant membership groups within their large and complex database. This will be done through a combination of developing novel statistical techniques to discover the groups and writing the computer code needed to enact those techniques. We expect the project to benefit Interior Savings and its members by enhancing the credit union’s ability to target growth opportunities. We also expect benefits the broader Canadian scientific community by eventually releasing the statistical techniques through open source software and manuscripts.

View Full Project Description
Faculty Supervisor:

Jeffrey Andrews

Student:

Dongying Wang

Partner:

Interior Savings Credit Union

Discipline:

Computer science

Sector:

Finance, insurance and business

University:

University of British Columbia Okanagan

Program:

Accelerate

Developing an Intelligent Conversational Agent Architecture related to the Banking Domain

This research project aims at creating a robust, efficient and reliable conversational agent for the banking domain that will offer a high level of performance in both key areas of conversational agent architecture: Natural Language Understanding and Response Generation. Natural language understanding approaches, retrieval-based models, as well as deep learning will be used to develop the architecture of the conversational agent in this specialized domain.

View Full Project Description
Faculty Supervisor:

Fatiha Sadat

Student:

Schahrazed Fennouh

Partner:

Banque Nationale du Canada

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Université du Québec à Montréal

Program:

Accelerate

Modeling of the Wear Performance of Carbide-Based Overlays and Coatings

Surface degradation during Oil & Gas and Mining operations in the Province of Alberta are pervasive. This has resulted in extensive research and development activities into the development of advanced surface modifications that are based on overlays and coatings. Most research effort has focused on materials selection, fabrication, and optimization of wear performance of those modifications through experimentation, trial-and-error, and microstructural analysis. This proposed research project has been designed with a view to developing advanced modelling solutions that will result in a priori prediction of wear and erosion behavior of select overlay and coating systems. By developing such solutions in collaboration with the partner organization, InnoTech Alberta, the applicants expect that the partner organization will be able to select and test the performance of appropriate overlay and coatings materials without incurring significant costs and will be able to deploy suitable overlay and coating solutions efficiently into the stream of commerce.

View Full Project Description
Faculty Supervisor:

André McDonald

Student:

Amirhossein Mahdavi

Partner:

InnoTech Alberta Inc

Discipline:

Engineering - mechanical

Sector:

Advanced manufacturing

University:

University of Alberta

Program:

Elevate

Magnetorheological Fluid Actuators for various industries

Exonetik designs, develops and manufactures magnetorheological (MR) actuator systems that enable novel functionalities to satisfy unmet customer needs. In collaboration with Exonetik engineers, interns will participate in the design, development and testing of customized magnetorheological actuators for three specific applications in the automotive, manufacturing and health sectors. The expected results of these subprojects will be prototypes that will be tested to demonstrate the added value that the technology can provide.

View Full Project Description
Faculty Supervisor:

Alexis Lussier Desbiens

Student:

Catherine Véronneau

Partner:

Exonetik Inc

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

Université de Sherbrooke

Program:

Accelerate

Natural language understanding and generation

NLP techniques have been used and tested for several years in different environments and for different applications/domains. The performances of the Natural Language Understanding (NLU) toolbox are closely related to the quality of the text but also on the specific knowledge-domain. Social Media content typically use short sentences with simple grammar and tend to include specific jargon and abbreviations. Grammatical rules are not always respected and spelling errors are common. These characteristics are also common to the human generated military intelligence/tactical reports. The first objective of the project is to automatically generate “human-like” reports, in both French and English, based on “structured-data”. The second objective of this project is to create a knowledge extraction toolbox to be used with both social media reports and military intelligence reports (for both French and English).

View Full Project Description
Faculty Supervisor:

Timothy J. O’Donnell

Student:

Wilfred Tat Fai Yau

Partner:

Thales Canada Inc.

Discipline:

Languages and linguistics

Sector:

Information and communications technologies

University:

McGill University

Program:

Accelerate

Structure of sediments formed in tailings treatment

This project will combine filtration characterization and advanced 3D imaging and modelling of material structures to find ways to improve the recovery of process water from difficult-to-treat tailings that are the by-product of mining and mineral processing. This process is called solid-liquid separation and it is a critical area for the reduction of oil sands tailings volumes. Due to the chemistry and solids composition of oil sands tailings, they are extremely resistant to dewatering. Attempts to improve solid-liquid separation in these systems have been pursued by practitioners and researchers in the form of a variety of chemical and mechanical treatment methods. Despite modest gains and comparative improvements in water recovery and ultimate material performance, no mature technology has been developed that adequately addresses the dewatering imperative imposed by environmental, social, and economic factors. This project suggests a novel approach to characterizing tailings suspension that may be the basis for the development or improvement of solid-liquid separation treatment methods and technology.

View Full Project Description
Faculty Supervisor:

Marek Pawlik

Student:

Michael MacIver

Partner:

BC Research Inc

Discipline:

Engineering - other

Sector:

Mining and quarrying

University:

University of British Columbia

Program:

Accelerate

Machine learning applied to drilling in open pit mines

The project involves identifying changes in mineralization during the drilling of the blast holes. During drilling, an experienced driller is able, to a certain extent, to detect signals that indicate that a zone change is occurring: vibration in the cabin, rotation rate, etc. The aim of this research project is to use data collected by the various sensors installed on the drill (specific energy, rotation rate, penetration rate, horizontal and vertical vibrations) to determine patterns among these data which would make it possible to identify a zone change and eventuallly automate this process. Machine Learning techniques are proposed to identify these patterns. The detection of these geological changes is particularly important in coal mines to stop drilling just before reaching the coal bed. This is to prevent blasting from fracturing the coal bed.

View Full Project Description
Faculty Supervisor:

Michel Gamache

Student:

Gilles Zagré

Partner:

Peck Tech Consulting Ltd

Discipline:

Mathematics

Sector:

Mining and quarrying

University:

École Polytechnique de Montréal

Program:

Accelerate

Data mining and personalized recommendation for an online luxury fashion retailer

The September is an online luxury retailer. In this research project, we are going to design and implement a personalized recommender system to enhance customers’ online shopping experiences. The past transaction data and browsing history as well as the demographic information of customers will be analyzed to identify the purchasing patterns, shopping trends and user behaviors. Based on these mined patterns and generated user profiles, recommendations will be made to individual customers using state-of-the-art recommendation algorithms. Through the built recommender system, the shopping experiences of the September’s customers can be greatly enhanced, and potentially it could help the company attract new customers and retain existing customers.

View Full Project Description
Faculty Supervisor:

Chen Ding

Student:

Omar Nada

Partner:

September Inc

Discipline:

Computer science

Sector:

Finance, insurance and business

University:

Ryerson University

Program:

Accelerate

Exploring the Impact of Housing-based Overdose Prevention Interventions on People who use Drugs in Vancouver – Year two

Canada is amid an opioid epidemic, with governments declaring overdose public health emergency. Drug-related overdose mortality in British Columbia reached a record high in 2017, with over 1400 deaths. In response, novel overdose prevention interventions (OPI) have been implemented, including: overdose prevention sites in which people can inject drugs under supervision; and, naloxone training and distribution (a medication that blocks the effects of opioids during an overdose). For the first time, these interventions are being implemented in emergency shelters and single room accommodations (SRA) housing, which provides shelter to more than 3000 people who use drugs (PWUD) in Vancouver’s Downtown Eastside. This study will explore social-, structural-, and physical-environmental influences on the implementation and effectiveness of overdose prevention interventions in SRA housing and emergency shelters. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Thomas Kerr

Student:

Geoff Bardwell

Partner:

Pivot Legal Society

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Elevate

Measuring Social Progress on Urban Aboriginal People: Construction and Application of a Composite Index of Quality of Life – Year Two

As Aboriginal people increasingly migrate to urban areas, it has become imperative to promote their socioeconomic engagement in the destinations. While there has been increasing research focuses on Aboriginal peoples’ quality of life (QoL) few studies explicitly measure Aboriginal people’s QoL based on a shared understanding of what QoL really means to Indigenous peoples and the government. Consequently, a meaningful conversation between the parties has not occurred to make a substantial improvement to the current status quo. Therefore, there is a need for measures of QoL that are robust, inclusive, and comparable over time and space to bridge the knowledge gap. This research project proposes to examine urban Aboriginal population’s QoL by developing a multidimensional QoL index, which is primarily based on their traditional values and beliefs, to identify common trends across individual indicators while benchmarking the overall performance of Aboriginal people. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Ken Coates

Student:

Yuzhu Liu

Partner:

Happy Life Wealth Management Inc.

Discipline:

Public administration

Sector:

Aboriginal affairs

University:

Program:

Elevate

Previous
1…798799800801802803804…1,106
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe