Innovations 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

Hybrid bacteriophage platforms for the production of non-invasive, self-adjuvanted, and targeted DNA vaccines against SARS-CoV-2

Our project aims to design and develop COVID19 vaccines engineered from viruses that infect bacterial cells only. SARS-CoV2 pathogenic components have been identified and modified to develop the vaccine. Although these components are pathogenic in nature, they are modified to pose no harm. The vaccine is designed to be administered intranasally, where it relocates to the lower respiratory tract. Upon reaching respiratory cells, the vaccine binds to respiratory cells and delivers the carried component. The delivered component will self-assemble into a SARS-CoV2 shape mimic. The released SARS-CoV2 mimic is picked up by immune cells and then generates an immune response. The SARS-CoV2 also has the ability to compete with the virulent SARS-CoV2 on cellular binding sites thus preventing the later infective mechanism.

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Faculty Supervisor:

Roderick Slavcev;Marc Aucoin

Student:

Salma Jimenez Badillo;Harika Nagireddy;Shirley Wong

Partner:

Theraphage

Discipline:

Engineering - chemical / biological

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Examining Let’s Talk Science’s Canada 2067 Learning Roadmap in evolving approaches to STEM education in a digital world

The current project aims to examine the knowledgebase of both teaching candidate (pre-service) and in-service teachers in 21st century competencies of digital literacy and computational thinking. Additionally, this project seeks to understand how these competencies may be incorporated into faculty of education training programs for teaching candidates. The intern will design, administer, and analyze surveys in partnership with the partner organization through professional development and learning opportunities for in-service teachers. As well, the intern will analyze the current curriculum of Canadian university/college programs in teacher education for themes and courses on digital literacy, computational thinking, and related constructs. This will further her interest in teacher education and school-based research methodologies and provide her with valuable experience with the partner organization to observe how research and industry intersect. The partner organization will gain insight into how the Canada 2067 recommendations could be applied in practice and which approaches may be more successful than others in teacher education.

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Faculty Supervisor:

Julie Mueller

Student:

Leah Brassard

Partner:

Let’s Talk Science

Discipline:

Psychology

Sector:

Education

University:

Wilfrid Laurier University

Program:

Accelerate

Development of Optical Clearing Materials Towards Oral Lesion Pathology Screening with Optical Coherence Tomography

The early identification of oral cancers will help to reduce serious complications and death associated with these diseases. Currently, identification of cancerous tissues relies significantly on visual identification during oral exams before more accurate further testing is performed. The use of optical coherence tomography (OCT) has allowed for more accurate initial identification of cancerous tissues, but suffers from limitations in resolution and how far into tissues can be analyzed. We propose to develop methods and techniques to allow deeper and clearer imaging into oral tissues to allow for more accurate identification of early-stage cancerous tissues. This will involve the development of materials that can be applied to the gum tissues to allow for better imaging into the tissues, as well as modifications of the OCT system and image processing techniques to improve depth and clarity of images.

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Faculty Supervisor:

Ozzy Mermut

Student:

Christopher Schruder

Partner:

LiveVue Technologies

Discipline:

Chemistry

Sector:

Professional, scientific and technical services

University:

York University

Program:

Accelerate

Open innovation in Ontario healthcare facilities: an analysis of two different approaches

This project will use mixed research methods to investigate the models used to support innovation in Ontario’s healthcare facilities. The research will improve our understanding of how, and why healthcare organizations can participate in more open innovation processes. Such approaches have been shown to improve the breadth and quality of new products and service development, but knowledge around how best to approach open innovation in healthcare remains low. The research will be conducted over a period of 16 months, and will involve a literature review, and interviews with stakeholders from two different health organizations.

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Faculty Supervisor:

Frank Safayeni

Student:

Brendan Wylie-Toal

Partner:

BWT Contracting

Discipline:

Other

Sector:

Other

University:

University of Waterloo

Program:

Accelerate

Deposition modeling, generalized process planning, and Design for Additive Manufacturing for fabrication of large scale and radial components by robotic large-scale additive manufacturing

Additive Manufacturing (AM), also known as 3D printing, uses computer-aided design to build objects layer by layer. AM enables complex designs with reduced component lead time, cost, material waste, energy usage and carbon footprint. Large scale robotic AM (> 1 m cubed) using wire arc welding is an emerging field offering scalability of AM to heavy industry. A particularly limiting factor for large-scale AM, however, is the need for support structures for overhanging features with current AM process planning and tool path planning methods. InnoTech Alberta and University of Alberta are interested in researching and developing new methods and processes for equipping their large scale AM system with multi-directional deposition capability that can eliminate the need for support structures , developing and using design for additive manufacturing (DFAM) to optimize and improve upon existing designs while considering the supportless fabrication process, and in the process eliminate the associated limitations of existing AM processes and improve them. This would allow development of a digital design and manufacturing tool chain allowing scaling up of metal AM for large parts suitable to Alberta’s industry.

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Faculty Supervisor:

Ahmed Qureshi;Zengtao Chen

Student:

Thomas Lehmann

Partner:

Discipline:

Engineering - mechanical

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Passive acoustic monitoring as a tool to measure spatial and temporal distribution of bowhead whales (Balaena mysticetus) and other marine mammals in the Western Canadian Arctic

The proposed research will aim on a better understanding of both temporal and spatial distribution of marine mammals in the Western Canadian Arctic, with a main focus on bowhead whales. Compared to other marine areas, the Arctic Ocean currently shows less noise disturbance due to the presence of sea ice throughout most times of the year, however reduction in sea ice caused by climate change is likely to allow for increased underwater noise. The study will be performed using acoustic data, collected over a 3-year period, examining bowhead distribution patterns based on acoustic detections and relative to noise disturbances. All study results will directly benefit the partner organisation WCS Canada by providing important information that will further the conservation of bowhead whales. Since WCS Canada will provide the data and scientific equipment, as well as supervise this project, the organisation relies on the outcomes as deliverables on multiple grants.

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Faculty Supervisor:

Francis Juanes

Student:

Annika Fiona Heimrich

Partner:

Wildlife Conservation Society Canada

Discipline:

Biology

Sector:

Other services (except public administration)

University:

University of Victoria

Program:

Powder Functionality in Laser Powder-Bed Fusion of Ti-6Al-4V

This project aims at studying the powder characteristics in the laser powder-bed fusion of Ti-6Al-4V. As an additive manufacturing technique, the laser powder-bed fusion process produces metal objects layer-by-layer using a laser source. Ti-6Al-4V is being used in the aerospace industry because it offers high strength-to-weight ratio and outstanding corrosion resistance. This collaborative work between McMaster University and AP&C investigates the influence of the oxygen content in Ti-6Al-4V powders on the microstructure and mechanical properties of parts produced using the laser powder-bed fusion process. The study includes the initial oxygen content of Ti-6Al-4V powders, as well as the oxygen pick up during manufacturing. AP&C, a subdivision of GE Additive, aims to produce high-quality metal powders as reliable feedstock for the L-PBF process. Therefore, greater understanding for the characterization of additive manufacturing feedstock powders is needed.

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Faculty Supervisor:

Mo Elbestawi

Student:

Marcin Magolon;Nathan Smith

Partner:

AP&C

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

McMaster University

Program:

Accelerate

Relative Energy Deficiency in Sport (RED-S) in Canadian high performance athletes: Prevalence, health and performance implications

Relative Energy Deficiency in Sport (RED-S) was first characterized by the International Olympic Committee in 2014 and characterizes a range of negative health (endocrine function, bone health) and performance outcomes that result from chronically low energy availability. Despite recognition of its significance for health and performance, and a prevalence rate of 3-60% in athletes, our ability to correctly assess and diagnose RED-S remains poor. Further, RED-S concerns high performance junior and senior athletes across Canada, where effects are seen beyond the degree of success at major championships, including the cost of health care and long-term consequences for athletes diagnosed with RED-S. Accordingly, our aim is to create the best parameters to diagnose and manage RED-S; along with information of the prevalence and severity of RED-S across sports in Canada and globally; educate the athletes on the risks of long-term RED-S and of the ways to avoid RED-S; and to provide refined recommendations for protein and energy intake for high level endurance athletes, across a range of energy availability levels (low to optimal).

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Faculty Supervisor:

Trent Stellingwerff

Student:

Ida Aliisa Heikura

Partner:

Own the Podium

Discipline:

Physics / Astronomy

Sector:

University:

University of Victoria

Program:

Elevate

Building the Evaluation Capacity of the Alberta Mentoring Partnership

This Mitacs project will support the Alberta Mentoring Partnership in building evaluation capacity across the province of Alberta for their affiliated organizations. The Mitacs intern will engage AMP decision makers in the development of the project, the creation and delivery of two online evaluation capacity workshops for mentoring organizations, the development and delivery of a 6-month learning opportunity for organizations, and knowledge mobilization about the project. This project provides the AMP partner organizations with the resources they need to monitor the impacts of their work, the effectiveness of their funding, and the achievement of their goals. By participating in this project, we will build their capacity to assess the impacts of their work on children, youth and families, collect evidence about the progress of their work, and provide evidence that can be used to refine the projects of AMP to better meet the needs of schools and youth serving agencies.

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Faculty Supervisor:

Rebecca Gokiert

Student:

Chelsea Freeborn

Partner:

Boys and Girls Clubs Big Brothers Big Sisters of Edmonton and Area

Discipline:

Other

Sector:

University:

University of Alberta

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:

Junwei Shen

Partner:

Aifred Health Inc

Discipline:

Epidemiology / Public health and policy

Sector:

University:

McGill University

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:

Sara Azadeh;Scott McLean

Partner:

Genius Camp

Discipline:

Engineering

Sector:

Education

University:

Ryerson University

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:

Jorge Eduardo Marquez Escobedo

Partner:

SRK Consulting (Canada) Inc.

Discipline:

Geography / Geology / Earth science

Sector:

Professional, scientific and technical services

University:

University of Saskatchewan

Program:

Accelerate

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