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 design and fabrication of a novel and passive hand tremor attenuator

Parkinson’s disease is most highly recognized by tremors of the hands that occur in those afflicted with the disease. Though the symptoms of Parkinson’s disease involving motor function begin with very slight tremors of the hands, they further develop into issues such as difficulty swallowing, severe postural problems and extremely limited mobility. In this proposal, a method of reducing these tremors that appear during the early stages of the disease is developed by creating a wearable passive device that reduces vibrations of the hand and arm through the use of magnetic actuators. The proposed wearable technology has surpassed other known alternatives in selected testing scenarios while possessing a light weight of only 120 grams.

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Faculty Supervisor:

Hadi Mohammadi

Student:

Steven Kimanzi

Partner:

Steadiwear Inc

Discipline:

Engineering - other

Sector:

Medical devices

University:

Program:

Accelerate

Opportunities for Alleviating Indigenous Energy Poverty in BC

Indigenous communities, especially those in remote locations, experience much higher rates of energy poverty than the rest of British Columbians. Energy poverty occurs when an individual allocates a disproportionately high percentage of their income towards household energy costs. The negative repercussions of energy poverty are not only economic, but also social, physical and environmental. Activities in the home such as cooking, cleaning, bathing and sleeping are examples of daily tasks that are directly affected by a lack of affordable and accessible energy.
This research project has two components. The first involves an investigation into the extent of on-reserve energy poverty in BC. This will be done through primary research and consultation with Indigenous communities throughout the province. The second component involves hosting an event with Indigenous leaders. TO BE CONT’D

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Faculty Supervisor:

Leonie Sandercock

Student:

Philip Climie

Partner:

Ecotrust Canada

Discipline:

Urban studies

Sector:

Aboriginal affairs

University:

Program:

Accelerate

Computer Lenses and Sex Influence on Shoulder-Neck Discomfort and Musculoskeletal Mechanisms in University Students Identifying as Laptop Users

Adults exposed to screens for prolonged periods of time have complained of shoulder-neck discomfort. Ergonomic solutions can help prevent the development of computer work-related pains later on in life as young adults move on to careers in an office or administrative setting. Many computer users have also expressed eye strain. As a response, ergonomic computer lenses have been brought forward, said to make viewing a computer screen easier on the eyes. Mechanistic links between eye strain and neck discomfort have been suggested; however, existing studies lack sophisticated methods of postural and electromyographical analysis, and have not compared effects on males vs females. The goal of this research project is therefore to evaluate the effects of computer lenses on shoulder-neck discomfort, and postural alignment, during a 90 minute computer typing task among young adults of the university setting. TO BE CONT’D

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Faculty Supervisor:

Julie Cote

Student:

Genevieve Gill

Partner:

Visions of Canada

Discipline:

Kinesiology

Sector:

Medical devices

University:

Program:

Accelerate

Mitigation of CO2 in the emissions of stand-alone electricity generators

In Canada, there are over 280 communities that are off the grid, the majority of which are First Nation. They use stand-alone diesel-powered electricity generators to supply their basic needs, and whilst there are plans to provide renewable energy alternatives, this will take time. In addition, there are a growing number of generators that burn biogas from landfill sites or wastewater treatment plants. All these electricity generators emit carbon dioxide (CO2) into the atmosphere.
This collaborating company will explore with an established Laurentian University (LU) research team, environmental, and economic benefit from capturing and repurposing the generator’s exhaust CO2. The goal is to adapt and commercialize LU’s technology that captures otherwise waste CO2 in off-gas to promote growth of regional microalgae and produce a revenue stream of high-value health beneficial nutraceuticals, such as antioxidants and antibiotics.

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Faculty Supervisor:

John Ashley Scott

Student:

Merritt Kennedy

Partner:

@home Energy

Discipline:

Engineering - other

Sector:

Energy

University:

Program:

Accelerate

Enabling the next revolution in global food production through automatically labelled data sets and machine learning

We envision a future where it will be possible to lavish the same attention on individual plants in a large prairie crop farm as one might on those in a backyard garden. As camera sensors shrink in size, and self-driving vehicles continue to improve, such an idea is no longer the realm of science fiction. The remaining piece of the puzzle, however, is the need for a very large number of pre-identified images of crop plants and weeds with which to train a computer to recognize one from the other. Our research project is to develop the means to automatically generate and label such images and to make the resulting data sets openly available for Canadian researchers and companies. TO BE CONT’D

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Faculty Supervisor:

Christopher Bidinosti

Student:

Michael Beck

Partner:

Weston

Discipline:

Computer science

Sector:

Agriculture

University:

Program:

Accelerate

Structural controls and modification of the Big Bulk Cu-Au porphyry system, Stewart District (northwest BC): constraining the geologic environment during porphyry emplacement

Porphyry Cu-Au-Mo systems, especially those formed along continental active margins, are generally considered to have formed in contractional tectonic environments of crustal thickening, surface uplift and rapid exhumation (e.g., Sillitoe, 2010). The tectonic environment of porphyry systems formed in island arcs, such as those located within the Stikine terrane of northwestern BC, are not as well understood. The Stewart district is a ~170 km long, linear belt of mineralization within the Stikine terrane and hosts the Kerr-Mitchell-Sulphurets deposit, the largest undeveloped gold reserve in Canada. Recent regional and detailed mapping studies in the district have presented compelling evidence for emplacement of these systems into an extensional regime, which contradicts the classic contractional model. My research seeks to test this model and its applicability to the region as a whole by reconstructing the Early Jurassic basin geometry, structural architecture and stress regime that provided permeable pathways for magmatism and hydrothermal fluids at several less well studied mineralized systems within the district. If the observations indicate that the porphyries were deposited in extensional basins, a new exploration model for porphyry emplacement can be implemented which will benefit exploration in Canada.

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Faculty Supervisor:

Lori Kennedy

Student:

Emily Miller

Partner:

Dolly Varden Silver Corp

Discipline:

Geography / Geology / Earth science

Sector:

Natural resources

University:

Program:

Accelerate

Developing intelligent self-propelled boom sprayer for variable rate plant protection product application

This project will aim to convert a commercially available variable rate sprayer into and intelligent sprayer able to precisely spray the pests and weeds in the potato seeds only when needed. The detection of the pests and seeds will take place by cameras equipped with algorithms able to detect each target. The team members will establish communication between the cameras and the electronic components in the sprayer and modify other components to enable a real-time application. The benefit to the organization who are the owners of the sprayer will be to optimize the applications of agrochemicals which will directly lead to reduction in the cost of production of potatoes.

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Faculty Supervisor:

Ahmad Al-Mallahi

Student:

Marlowe Burce

Partner:

Potatoes New Brunswick

Discipline:

Engineering - other

Sector:

Agriculture

University:

Program:

Accelerate

Quality Improvement of BIM for Operation and Maintenance phase

The use of Building Information Modeling (BIM) processes and technologies is rapidly growing in the Architecture, Engineering and Construction (AEC) industry. It is being widely implemented during the design and construction phases. However, the building models created in these phases are not suitable for the Operation and Maintenance Phase (O&M). These models lack useful data for O&M or include unnecessary items which affect the usability of models. This project aims to develop tools to improve the quality of models used for O&M. Additionally, a strategy of quality assurance and quality control will be investigated. The project outcomes will offer a competitive advantage to the partner organization in the high-potential market of O&M. Finally, it will empower the Canadian role in BIM development and enable facility owners to make considerable savings.

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Faculty Supervisor:

Ali MOTAMEDI

Student:

Romain LEYGONIE

Partner:

Pomerleau

Discipline:

Engineering - civil

Sector:

Construction and infrastructure

University:

Program:

Accelerate

Artificial Intelligence (AI) Powered Adaptive Flight Controller for Novel Unmanned Aerial Vehicle (UAV) with Commercial and Humanitarian Applications

The project entails research into machine learning techniques to control unmanned aerial vehicles (UAVs) with complex flight characteristics for surveillance and cargo transportation applications. In addition, it advances networked UAV fleet control and optimization methodologies to improve the potential of UAV fleets to perform coordinated tasks efficiently and reliably.

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Faculty Supervisor:

Davide Spinello

Student:

Nathaniel Mailhot

Partner:

Romaeris Corporation

Discipline:

Engineering - mechanical

Sector:

Aerospace and defense

University:

Program:

Accelerate

Auto-configuration of an autonomous farming vehicle using Machine Learning

Precision agriculture has many benefits especially for the developing world. Autonomous tractors and automatic planting systems have high accuracy, resulting in a substantially improved return on investment for growers, making food planting more economical. Moreover, the tractors can collect information on soil conditions, which can lead to improved maintenance of the crops, prevent blights, and achieve higher efficiency and higher plant food quality. Autonomous tractors can increase the number of farming hours per day, as they can work even after dark, which will speed up the process of farming tasks. Farming autonomous vehicles can disrupt agriculture, and provide a solution to world hunger. Autonomous farming vehicles need to operate in harsh environments that may be unpredictable. The research of this Accelerate project aims to tackle the challenges of controlling an autonomous tractor on harsh terrains of a farm, by auto-configuration of the vehicle and feedback control using Machine Learning techniques.

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Faculty Supervisor:

Benoit Boulet

Student:

Zeinab Sobhanigavgani

Partner:

Innovative Vehicle Institute

Discipline:

Engineering - computer / electrical

Sector:

Automotive and transportation

University:

Program:

Accelerate

Urban ecosystem service valuation: Exploring participatory greenspace planning processes that support more equitable outcomes for residents of the Greater Toronto Area

How urban residents perceive and value nature within our cities shapes how we manage it for current and future generations. Given the diversity of perspectives and beliefs brought to bear on an urban system, we can expect that not everyone will enjoy nature the same way, or for the same reasons. If democracy is our goal, then we must create processes that allow people to express their opinions about where they want greenspace, what they want to use if for, and how it ought to be managed. When disagreements or trade-offs arise, we need to be able to navigate a path forward that fairly considers all options. This research will explore novel decision-making tools that are designed to encourage stakeholder deliberation about management choices for greenspace in cities. The intent is to provide planners and greenspace managers with tools and knowledge that will support more participatory and inclusive land use planning.

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Faculty Supervisor:

Daniel McCarthy

Student:

Meaghan Eastwood

Partner:

Credit Valley Conservation

Discipline:

Environmental sciences

Sector:

Environmental industry

University:

Program:

Accelerate

An investigation of Ontario ESL teachers’ strategies and perceptions for teaching Chinese international students in Ontario public schools.

Recent rapid increase in the number of Chinese international students with English as a second language (ESL) attending Canadian schools has led to the exploration of in-service ESL teachers’ teaching strategies towards these students. Working with View-Wide International Education Group and using multiple case studies, this study will articulate the nature and challenges of ESL teaching and identify various ESL instruction means. It will also investigate ESL teachers’ perceptions of the influence of ESL programs on English language acquisition by Chinese international students and support these students by ensuring their academic and social needs are being met. This study is important in that it can provide teachers, ESL program developers and school administrators with concrete data based on the direct experiences of ESL teachers teaching Chinese international students

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Faculty Supervisor:

Douglas McDougall

Student:

Ju Huang

Partner:

View-Wide International Education Group

Discipline:

Education

Sector:

Education

University:

Program:

Accelerate

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