Innovative Projects Realized

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

29670 Completed Projects

2811
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4990
BC
801
MB
663
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825
SK
8841
ON
9197
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95
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568
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1088
NS

Projects by Category

GPU-Based Fast Fluids for Video Games

Animated fluid effects based on physical simulation have been a staple part of visual effects industry. They are characterized by offline simulation and rendering that produces high-fidelity dynamics and visuals. As the technology for computer games advances, the opportunity to create such effects in real-time as either a playback technique or dynamic simulation is becoming feasible. The internship will explore the integration of fast methods for fluid dynamics to determine their effectiveness for use in the video game industry.

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Faculty Supervisor:

Robert Bridson

Student:

Partner:

Microsoft Canada

Discipline:

Computer science

Sector:

University:

The University of British Columbia

Program:

Accelerate

Inventory optimization model to support customer needs while meeting business targets

Manufacturing is a $174 billion industry in Canada, representing over 10% of total GDP and 68% of merchandise exports. Inventory is the largest spend and asset for manufacturing companies, and efficient inventory management is a proven strategy to increase profitability in the manufacturing sector. The aim of inventory management is to achieve satisfactory levels of customer service while minimizing inventory costs in order to maximize profitability. The proposed research will create an inventory optimization model to assess factors influencing inventory of a Canadian electronics manufacturer and predict optimal levels of inventory to support customer needs while meeting business targets. This predictive model will provide significant cost-savings and improve customer satisfaction, supporting the company’s continued growth and creating high-quality jobs for Canadians.

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Faculty Supervisor:

Brent Clemens

Student:

Partner:

Creation Technologies (ON)

Discipline:

Business

Sector:

Manufacturing

University:

Durham College of Applied Arts and Technology

Program:

Accelerate

Understanding the mechanism of operation of Solistra Corp.’s dry reforming photocatalyst.

Solar-driven dry-reforming is an ideal solution for recycling greenhouse gasses (GHGs) while producing valuable chemical feedstock. These anthropogenic emissions of the GHGs are the leading cause of global climate change. Furthermore, these emissions are related to the manufacture of fuels and carbon-based products. Solar fuels technology addresses both of these issues. Solistra is developing photocatalyst technology in partnership with NRC, through the Materials for Clean Fuels Challenge program, and the University of Toronto’s Solar Fuels group. Photocatalysts, nanomaterials engineering to directly use solar energy, can convert carbon dioxide and methane into the same carbon-based consumer products we rely on every day using sunlight. This technology represents an advancement toward a clean and carbon recycling economy.

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Faculty Supervisor:

Geoffrey Ozin;Benjamin Hatton

Student:

Partner:

Solistra

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Development of CuO-doped phosphate glass in Hydrogel matrix for bone regeneration

In the framework of developing of low-cost bones regeneration implant, bioactive copper oxide phosphate glasses/HA-Chitosan hydrogel are to be investigated to determine optimal formulation producing a HA/hydrogel matrix with structure similar to that of natural bone.

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Faculty Supervisor:

Federico Rosei

Student:

Partner:

Bioastra Technologies Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Accelerate

Geochemical implications of soil covers for oil sands sulfide tailings

Recent studies have highlighted the need to investigate potential for acid generation and metal(loid)s release froth treatment tailings generated at oil sands mining operations. In addition to residual hydrocarbons, froth treatment tailings contain minerals that make them geochemically distinct from sulfide-bearing tailings generated at metal-mining operations. The proposed research will integrate field studies, laboratory experiments, and modelling to investigate the geochemical implications of potential reclamation approaches for froth treatment tailings. Research findings will help advance understanding of the geochemical behaviour of these tailings under different reclamation scenarios, which will guide reclamation efforts at oil sands mining operations. In turn, this research will allow SRK Consulting to improve its environmental consulting services for oil sands operators.

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Faculty Supervisor:

Matt Lindsay

Student:

Partner:

SRK Consulting (SK)

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

University of Saskatchewan

Program:

Accelerate

Continuation of Characterization and Design of Additively Manufactured Components for Materials Integrity

Rapid prototyping, or 3D printing, has inspired the imagination of the general public, from simple build-it-yourself “hobby” machines using polymer-based binder material with inkjet functionality, to portable printers that can fashion components in zero gravity on the International Space Station. The functionality is user-friendly, in that printed material is dropped onto a substrate in viscous plastic form, which solidifies to take on the designed shape. The resulting piece is a plastic prototype that may be used as-is, for some applications, or as scaled models to assist the product development process. This work focuses on 3D metal printing, specifically, direct metal laser sintering (DMLS), to build three-dimensional, complex parts using metallic powders. We integrate materials science, design of experiments, and engineering design for the purpose of manufacturing components with complex geometries and lightweight, high-strength metallic-alloy properties for aircraft applications. By investigating how process parameters affect the properties of materials, we expect to reduce run-to-run variations in the DMLS process, reduce production and post-production time and costs, and contribute to innovation in using an additive approach to the engineering design of complex components.

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Faculty Supervisor:

Amy Hsiao;Grant McSorley

Student:

Partner:

MDS Coating Technologies

Discipline:

Engineering

Sector:

Aerospace; Advanced Manufacturing; Technology

University:

University of Prince Edward Island

Program:

Accelerate

Creating a Predictive Financial Model to Optimize Digital Marketing Budget of SMEs Post COVID-19

With schools closed due to the COVID-19 pandemic, many education outreach companies that offer in-class summer camps are having to pivot to virtual classes to adjust to the new normal. Their main challenge is how and where to spend their marketing budget efficiently to attract new students. They traditionally advertise locally such as in schools or communities which are not available to them now. Therefore, their advertising budgets are moving to digital marketing such as social media and search engines. These companies have to rethink which platforms help them transform their businesses that have been altered by this crisis. Using data science helps them to spend their marketing budget efficiently. Analyzing data gathered from marketing campaigns and social media channels will equip companies with valuable information on why, when, and how their customers engage with their brand.
In this research, by focusing on education companies, we try to create a model to predict customers behaviors and optimize company’s marketing bu

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Faculty Supervisor:

Laleh Samarbakhsh

Student:

Partner:

Genius Camp

Discipline:

Business

Sector:

Education

University:

Toronto Metropolitan University

Program:

Accelerate

New designs for Bayesian adaptive cluster randomized trials for an individualized clinical support tool with capacity to support distance follow up and treatment of depression

Depression is a common and often devastating illness that contributes to suffering for patients and families and is also the number one cause of disability globally. Many patients do not respond to their
first trial of treatment, and managing depression according to best practices can be difficult for clinicians. Using the power of machine learning, a new tool has been developed that is intended to help match
patients to treatments using a simple questionnaire and to assist clinicians in improving the quality of depression treatment. It is now time to test this tool in a clinical trial, and this project aims to help ensure
that this trial is designed to take into account new challenges and questions that come with this kind of tool, and that the analysis of the results of the study is rigorous and provide meaningful answers about
the effect of the tool on patient outcomes.

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Faculty Supervisor:

Erica Moodie;Shirin Golchi

Student:

Partner:

Aifred Health Inc

Discipline:

Mathematics

Sector:

Health and Related Sciences & Technology; Information and cultural industries; Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

An examination of gamification methods to improve user engagement: A case study of a system to manage expertise during the COVID-19 Pandemic

totaliQ has developed an expertise management platform that helps organisations save significant time and money by providing them with maximum visibility into the individual expertise that each employee within the organization has and where that employee is located. safetyiQ is a free, light version of this system that will allow employees, managers and occupational health and safety professionals to share best practices, templates, lessons learned, Q&A and more, while it auto-generates an inventory of each user’s areas of expertise so that collaborators can identify experts in specific topics within this online community during the COVID-19 pandemic.
Gamification is a technique to increase willingness of the user to contribute to share his knowledge with others. When applying gamification to knowledge management, the idea is to get employees to share knowledge and expertise by making it fun, introducing an element of friendly competition, and shining a light on top performers. The purpose of this project is investigating gamification techniques that maximise user engagement in expertise management platform of totaliQ.

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Faculty Supervisor:

Jennifer Jewer

Student:

Partner:

totaliQ Technology Inc

Discipline:

Business

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Heat Stress in Older Adults

Deep mechanized mines can be harsh work environments. In addition to the dust and
potential noxious gases, workers are frequently exposed to high heat and high humidity
conditions for extended periods of time. Studies suggest that an individual’s ability to maintain
a safe body temperature decreases with age, thereby increasing the risk of heat-related
injury. Poor physical fitness and chronic disease, which become more common with
increasing age, will also decrease heat tolerance. As the average age of workers has been
increasing across Canada, heat-related safety is becoming more of a concern. This research
seeks to examine the upper thresholds of temperature that older workers will be able to
tolerate. We will be measuring their responses to heat exposure both at rest, as well as
during incremental exercise in order to define the upper thresholds for safety in these
environments.

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Faculty Supervisor:

Glen Kenny

Student:

Partner:

Vale Canada Limited (Copper Cliff, ON)

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

University of Ottawa

Program:

Accelerate

Analysis of Emotional Well-Being via CheckingIn

Checkingin is a publicly available app through which users report their current emotion, energy level, and the context descriptive of this state. The present project seeks to analyze if such self-initiated technology is capable of detecting emotional shifts in well-being under times of great stress, as on-going in the current COVID-19 pandemic. Specifically, a comparison will be made on what emotions were most frequently reported prior to the pandemic, and how these emotions shifted over time up to present day. This will compliment laboratory-based research reliant on retrospective recall. Secondly, by pairing context with emotional well-being, activities that are beneficial, or may be detrimental, for well-being can be identified. This can help individuals know, for instance, that exercise was beneficial for well-being maintenance during the past several weeks relative to spending time on social media.

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Faculty Supervisor:

James Enns

Student:

Partner:

CheckingIn

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Towards developing inhibitors to treat CoVID-19

The SARS-CoV-2 outbreak, which started in Dec. 2019, has so far not been contained due to unpreparedness and unsuccessful development of antiviral drugs against SARS-CoV-2. In response to this pandemic, we propose strategies for the development of novel antiviral agents against a number of known viral targets using in-silico modeling and laboratory testing to rapidly identify and validate their efficiency in blocking viral functions. We have prior experience working with viruses of the same family, which include those that cause Porcine epidemic diarrhea (PEDv) and influenza A/H1N1, and aim to -build small molecules to block the new virus. The goal of our design will be to find molecules for 1) the inhibition of SARS-CoV-2 replication; 2) blocking of S protein-ACE2-mediated viral entry; 3) targeting SARS-CoV protease (3CL); 4) inhibiting viral protein nsp-14 – DDX1 helicase interaction. Each molecule will be evaluated for specificity and efficacy in in-vitro assays. We will synthesize target proteins and promising compounds and test their interactions by functional assays, including cell toxicity, and biophysical assays including analytical ultracentrifugation (AUC), Microscale Thermophoresis (MST), and by high throughput screening.

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Faculty Supervisor:

Neal Davies;Trushar Patel;Borries Demeler

Student:

Partner:

Applied Pharmaceutical Innovation

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services; Retail trade

University:

University of Lethbridge

Program:

Accelerate

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