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

Development of Ultra High Strength (>1GPa) Vanadium Microalloyed Dual Phase Steels For Automotive Lightweighting

Reducing CO2 emissions and improving the crash-resistance of passenger vehicles are two objectives that Canadians all share. One excellent technique to do both at the same time involves substituting existing body components with new advanced high strength steels (AHSS) that are produced with higher tensile strengths (better energy absorption and better anti-intrusion properties) and thinner gauges (significant weight savings leading to better fuel economy and lower emissions). In this project, Canadian steelmaker Stelco Inc teams up with McMaster University and CanmetMATERIALS (CMAT) laboratories in Hamilton to design and produce a new dual-phase 1180 MPa steel strip in their Ontario plants. The new steel will use a novel vanadium micro-alloying technology developed by CMAT and McMaster to provide the highest strength with excellent formability for cold-stamping operations.

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Faculty Supervisor:

Hatem Zurob;Colin Scott

Student:

Julien LOUGE

Partner:

Stelco

Discipline:

Engineering

Sector:

Manufacturing

University:

McMaster University

Program:

Accelerate

Integration of Safety Analysis into Model-Based Systems Engineering

In recent years, there has been a rapid advancement of technology and an increased use of computer models to develop aircraft and aircraft systems. Unfortunately, safety assessment procedures have remained largely document-based, and thus have struggled to keep up with such rapid design changes. The objective of this project is to develop a solution that will enable safety assessment to be conducted more efficiently and reliably, and hence decreasing development time and cost. As a result, this will allow the partner organisation as well as other companies in the aerospace industry to deliver safer systems, and ultimately producing safer aircraft.

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Faculty Supervisor:

Alison Olechowski

Student:

Kimberly Lai

Partner:

Safran Landing Systems

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Assessment of the Stoko Novel Supportive Tight

The anterior cruciate ligament (ACL), located in the knee, is commonly injured during sports. Patients who experience ACL tears often delay or choose to forgo surgery, which can reduce knee stability and alter movement patterns. Knee bracing is a commonly used treatment method to stabilize the knee. A novel method of knee bracing has been designed by Stoko to incorporate structural support in a supportive tight. The objectives of this research are to determine the efficacy of the Stoko supportive
tight in stabilizing knee mechanics in ACL deficient patients.
30 ACL deficient patients will be recruited from a local clinic and outfitted with Stoko supportive tights. These patients will then undergo movement analysis during walking, running, and jumping withand without the supportive tights. The differences in movement patterns with and without the tights will determine the effects of the Stoko supportive tights to stabilize patients without an ACL.

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Faculty Supervisor:

Michael Hunt

Student:

Calvin Tse

Partner:

Stoko Design

Discipline:

Medicine

Sector:

Manufacturing

University:

University of British Columbia

Program:

Accelerate

Effects of host, pathogen, and environmental factors on increased incidence of European foulbrood in honey bee colonies pollinating blueberries

The estimated value of honey bee pollination in the form of increased crop yields in Canada is $2 – $4 billion. In recent years, beekeepers pollinating blueberries have reported an increased incidence of European foulbrood (EFB). EFB is a bacterial disease of honey bee larvae which can lead to larval starvation and death. Risk factors for EFB disease during blueberry pollination include pesticide exposure, increased virulence of bacterial strain, decreased diversity or quality of pollen, and/or inadequate brood care; however, there is a lack of scientific evidence to determine which factors are responsible for the recent increased incidence of EFB. We will investigate interaction between host, pathogen, and environment to determine if any of these factors contribute to the increased susceptibility of honey bees to EFB. Through mitigation of the identified factors, we can enhance the health and productivity of honey bee colonies and the blueberry crops they pollinate.

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Faculty Supervisor:

Elemir Simko

Student:

Ivanna Kozii

Partner:

Discipline:

Animal science

Sector:

Agriculture

University:

University of Saskatchewan

Program:

Accelerate

The simulation of multiple interacting garments as an outfit on a tailored avatar

For the online customer, confidence in the purchase of a garment depends on the effectiveness of sizing charts and how the garment would appear as part of an entire outfit. Unfortunately, it is difficult for the customer to precisely predict how the product would fit when worn and just how well the garment coordinates with others. This often leads to consumer regret and an increase in product returns, incurring substantial costs for clothing retailers. A potential solution to this problem is the use of computer models to provide a preview of the fit and look of garments while worn on an avatar representing the online customer, much like a virtual fitting room. The expected deliverable of this project is the development of software capable of simulating the fit and appearance of multiple interacting garments as an outfit on an avatar based on spatial measurements. The partner organization will benefit by gaining access to the developed software, which is marketable to online customers, online clothing retailers, clothing designers, and clothing manufacturers. The software will enhance the experience of the online customer and reduce the cost of returns for clothing retailers.

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Faculty Supervisor:

Raymond Spiteri

Student:

Sean James Trim

Partner:

Clear Skies Developments

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Saskatchewan

Program:

Removal of phosphorus (P) runoff from agricultural lands in the Napanee and Wilton Creek watersheds with passive reactors

The primary purpose of this project is to remove phosphorus (P) from agricultural sources in two watersheds (Napanee and Wilton Creek) in the Bay of Quinte Area of Concern (AOC) through remediation with passive reactors. We will install passive reactors to remove P from selected hot spots of P non-point loading from agricultural areas of Bay of Quinte. We will evaluate the efficiency of this remediation on P removal and estimate the impact of this reduction on the P budget. The Bay of Quinte Remedial Action Plan highlighted the need to develop P management strategies to address the problem of excessive P at its source in the watershed and remediate them. Elevated summer P levels cause nuisance algal blooms and recurrent water quality issues. The project aims to achieve “delisted” status which will reduce the cost of monitoring as well as improve beneficial use of the impacted watersheds. Additionally, passive P removed by the reactors may be reused for fertilization purposes which would result in a more economic farming operations and reduce the demand for new P that could enter the watershed. The proposed technology is also high transferable and could be used at additional sites.

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Faculty Supervisor:

Maria Dittrich

Student:

Zachary A Diloreto

Partner:

AEML Associates Ltd.

Discipline:

Environmental sciences

Sector:

Professional, scientific and technical services

University:

Program:

Mass transfer mechanisms in solvent bitumen recovery processes

If the development of oil sands is to continue, improved environmentally friendly processes with minimal footprint have to be implemented. Thus steam will either have to be faced out or it will have to be augmented by chemicals such as solvents. The major drawback of solvent is the perceived low mass transfer rates. However, if the bitumen solvent interactions are enhanced through convection, this gap may be eliminated. This proposal evaluates mass transfer enhancements in bitumen solvent systems, both liquid and vapour, both experimentally and through computer simulation.
We will evaluate pore level mixing enhancements that will accelerate mass transfer, viscosity reduction and flow rate increase. The work will include basic property measurements, flooding in visualization cells and sand packs and pore level modelling using Computational Physics packages. Concentration profiles will be measured using x-ray tomography.

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Faculty Supervisor:

Brij Maini

Student:

Sajjad Esmaeili

Partner:

PERM

Discipline:

Engineering - chemical / biological

Sector:

University:

University of Calgary

Program:

Enhanced bitumen recovery from thin and low quality oil sands formations

Alberta’s oil sands are one of the world’s largest known hydrocarbon deposits. Currently, Steam Assisted Gravity Drainage (SAGD) is the commercial recovery method of choice. This requires large amounts of steam to be injected into the oil sands reservoirs, resulting in steam loss to the overburden. Companies continue to expand operations with new pad development. However, as the inventory of thick and clean pays declines, companies are forced to move to thin pays with thickness in the range of 5 to 10 meters. It is estimated that thin pays in Alberta Oil sands contain billions of barrels of bitumen resources. Companies face challenges associated with operating in thin pays. This includes higher steam loss to the overburden, resulting in higher SOR and sub-economic production. This project will concentrate on the development of a new technology for thin pays as well as process control logic for reservoir simulation. It is anticipated that the outcome of this project will help industry to produce bitumen at a lower cost and minimize environmental impacts.

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Faculty Supervisor:

Hassan Hassanzadeh

Student:

Mohsen Zirrahi

Partner:

Cenovus Energy Inc.

Discipline:

Engineering - chemical / biological

Sector:

University:

University of Calgary

Program:

Elevate

Quantifying community-level responses to anthropogenic landscape disturbance and management using multi-array camera trap data

Habitat loss through anthropogenic landscape disturbance is one of the leading drivers of biodiversity loss, yet activities such as resource extraction and agriculture play a vital role in the global economy. Understanding impacts of such disturbances, through robust environmental monitoring protocols, is key to maintain a balance between economic growth and environmental sustainability. Cost-effective monitoring approaches that collect data at a broad yet relevant scale for investigating species responses to disturbance is required. We propose the use of a network of multiple camera trap arrays within a coordinated distributed experiment framework to monitor and assess mammalian responses to resource extraction activities and wildlife management interventions aimed at mitigating negative impacts of such activities. We will deploy– leverage data previously collected from– a large network of standardized camera trap arrays distributed across a gradient of disturbance within Alberta and exposed to different management practices. to design, evaluate and apply a robust protocol that can be used to monitor multi-species responses to disturbance long- term. Such a program will be invaluable to land managers, both within Western Canada and beyond, by increasing our understanding of broad-scale responses to landscape disturbance and allowing better-informed wildlife management interventions.

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Faculty Supervisor:

Jason T Fisher

Student:

Andrew Ladle

Partner:

InnoTech Alberta Inc

Discipline:

Environmental sciences

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Elevate

Quantifying Environmental and Anthropogenic Impacts on Coastline Instability at Point Pelee National Park (PPNP) and Peninsula

The focus of this project is to measure the historical and current rates of shoreline change around Point Pelee National Park (PPNP) and Peninsula. This information, combined with survey, climate, land use, and statistical data, will provide a better understanding on the primary causes, locations, and timings of significant shoreline change trends observed within the region. A conference or ‘Hackathon’ will be conducted to gather local scientists, engineers, and stakeholders to collectively discuss potential strategies designed to mitigate the environmental impacts of shoreline erosion around the peninsula. The primary goal of this work is to provide baseline data and methodologies that will be used to inform and guide continuous coastal monitoring and managements strategies in the region.

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Faculty Supervisor:

Chris Houser

Student:

Alex Smith

Partner:

Essex Region Conservation Authority

Discipline:

Environmental sciences

Sector:

Administrative and support, waste management and remediation services

University:

University of Windsor

Program:

Accelerate

Integrating Symbolic Reasoning and Statistical Perception in Task and Motion Planning

A robot, like any cybernetic system, must perceive it’s world and act upon it to accomplish goals. Most goals are complex and must be broken down into simpler tasks. In the physical world, these tasks almost always require motion to accomplish. But motion itself is far from simple; joint movements must be coordinated, obstacles avoided, physical obstacles respected, and efficiencies maximized. Moreover, this task and motion planning problem is presented in a dynamic and incompletely-known environment. Solving this foundational problem requires high-level background knowledge about the world, understanding of the environment formed from sensory input, reasoning over this information, and low-level motion control for taking action in this environment.
In this project we focus on the integration of symbolic and statistical models for improving applications including perception, action selection, and execution in robots. This project aligns with one of the core research areas at Sanctuary AI, and allows us to further the work necessary to have robots actively participating in dynamic human environments.

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Faculty Supervisor:

Kamal Gupta

Student:

Simon Odense

Partner:

Sanctuary AI

Discipline:

Engineering

Sector:

Information and cultural industries

University:

Simon Fraser University

Program:

Accelerate

A Realistic Machine Learning-based Model for Failure Prediction and Propagation in Smart Grid Networks

Cyber-Physical Systems (CPS) combine communication and information technology functions to the physical components of a system for purposes of monitoring, controlling, and automation. The power grid is becoming one of the largest CPS, where grid components are controlled based on the synergies in the cyberspace. CPS hold a great promise to improve the efficiency and productivity of numerous sectors in Canada and around the world. However, cyber-security is a major concern in CPS including the smart grid where an intrusion in one part of the system can cause a failure in the entire network if not detected and dealt with in a timely fashion. The main objective of this research project is to develop a realistic model to enable the implementation of machine learning-based algorithms to detect cyber-attacks in a smart grid environment.

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Faculty Supervisor:

Irfan Al-Anbagi;Kin-Choong Yow

Student:

Aliasghar Salehpourbarough

Partner:

Ericsson Canada

Discipline:

Engineering

Sector:

University:

University of Regina

Program:

Accelerate

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