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

Understanding the Mechanism of Probiotics for Oral & Respiratory Health

Dose has developed a new probiotic that targets several aspects of oral and respiratory health. This project aims to understand the exact mechanism of our probiotic’s inhibitory properties against the pathogens associated with the above diseases. Dose is a new start-up in the probiotic/microbiome health sector, and this project will allow for improved technology and manufacturing processes for our probiotic line.

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Faculty Supervisor:

William Wiley Navarre

Student:

Francisco Fields

Partner:

Dose Biosystems

Discipline:

Biochemistry / Molecular biology

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Combined relational and BERT-ranking for multilingual ad hoc document retrieval

With increasing amounts of information available online on the web, it’s crucial for search engines to filter out the content they think is useful and rank that content in decreasing order of relevance to the user’s query so that the user can just focus on the top results. Traditional techniques in search ranking focused on presence of the user’s search terms in the documents being returned by the search engine. Now, modern advances in machine learning allow us to understand complex relationships between what the user really is looking for and what the documents really are about and this research will use this understanding to make better search engine rankings. This research also leverages these advances in technology to also understand the similarities between documents for return meaningful results to user search queries in multiple languages.

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Faculty Supervisor:

Gerald Penn

Student:

Nayantara Prem

Partner:

Tealbook inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Rural community pandemic research response at the Applied Research and Innovation Center – Selkirk College

This proposed rural community pandemic research response at the Applied Research and Innovation Center (ARIC) aims to collectively address and support rural issues related to the pandemic through research. The main themes support sustainable economic development and diversification, community resiliency, and sustainable community indicators for development and prosperity. Economic development and diversification will entail collaboration between different scales of human organization and stakeholders concerning economic projections related the pandemic, and models to help build resiliency and combat future rural community issues. In addition, applied rural pandemic adaptation and response may include smaller projects that define community-based strategies, expectations, and required supports in adapting to climate change. Throughout all of these themes, the need for a collective approach and collaborative research in the rural region of the Columbia Basin can be identified. The aim of this research initiative is to create a research response that provides the tools, skills, individuals, and resources required to support these themes for resilient local communities.

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Faculty Supervisor:

Adela Tesarek Kincaid

Student:

James Tucker

Partner:

Discipline:

Other

Sector:

Professional, scientific and technical services

University:

Selkirk College

Program:

Accelerate

Development of paper-based Rapid Diagnostic Kit for COVID-19

Until an effective vaccine becomes widely available for COVID-19, a frequent home test of the coronavirus on a weekly basis might become a new norm. Therefore, developing rapid, accurate, stable, and cost-effective tests is critical for combatting the spread of COVID-19 over the long term. Aptamers are single-stranded DNA oligonucleotides that can be selected from a large DNA library to bind to many target molecules. They can overcome the problems associated with antibodies since DNA is highly stable, cost-effective with a little batch-to-batch variation. However, aptamer sequences for COVID-19 viral proteins are not yet available. Therefore, we aim to isolate such aptamers to fill in this gap. The industry partner, ChitoLytic will provide chitosan and other functionalized paper surfaces for paper-based biosensor development. They already have acquired a patented technology that demonstrated the detection of lipids on a paper-based microfluidic device. Chitolytic platform will be tested for our proposed aptamer-based detection of COVID. The expected outcome is a paper-based colorimetric assay using aptamers for specific binding of the COVID-19 virus in the saliva, thus aiming to develop the first paper-based biosensor for the detection of COVID-19 virus in the saliva.

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Faculty Supervisor:

Sushanta Mitra;Juewen Liu

Student:

Sunil Walia

Partner:

ChitoLytic

Discipline:

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate

Beyond the COVID-19 pandemic: Identifying and analyzing inter-systemic cascades

This project aims to improve our understanding of the impacts of COVID-19 and its related impact on economic, food, and energy systems. While conventional attempts to understand these trends and help decision makers prepare for possible shocks tend to fixate on individual systems, this project investigates the complex interactions between these systems and the possibility of “inter-systemic cascades” where a shock in one system triggers cascading effects across others. Using research methods and system mapping tools specifically designed to analyze these inter-systemic effects, researchers will produce Briefings on possible inter-systemic trends that may unfold in the coming months and will identify opportunities for policy makers and corporate/community leaders to steer stimulus spending and other investments towards activities that have the potential to grow sustainably and resiliently over the coming decade.

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Faculty Supervisor:

Thomas Homer-Dixon;Thomas Homer-Dixon

Student:

Scott Janzwood;Michael Lawrence;Yonatan Strauch;Jinelle Piereder

Partner:

Waterloo Global Science Initiative

Discipline:

Environmental sciences

Sector:

Professional, scientific and technical services

University:

Program:

Accelerate

Development of bead-based detection of SARS-CoV-2 IgM/IgG in a multiplex POCT platform

COVID-19 is a highly infectious respiratory disease that is caused by the SARS-CoV-2 virus. RT-qPCR is a nucleic acid testing that is widely adapted to confirm the infection. Point-of-care IgM/IgG testing strips have been adopted in some countries for screening and surveillance. However, these antibody testing strips are restricted to a positive/negative testing result. Because COVID-19 infection is a dynamic process with variation of the levels of virus antigen and antibodies, a quantitative testing of IgM/IgG antibodies is valuable and it could significantly improve the accuracy of diagnosis. IgM/IgG testing may provide critical information to support the building of contact tracing infrastructures and accelerate the incremental reopening of economical and civil activities. This project focuses on developing a bead-based immunoassay system for the simultaneous and quantitative measurement of human IgM and IgG specific to SARS-CoV-2. The efficient implementation of this project will be the foundation for the future development of a universal multiplexed point-of-care diagnostic platform.

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Faculty Supervisor:

James Stewart Aitchison

Student:

Xilong Yuan

Partner:

Thinkari Research Inc

Discipline:

Engineering - computer / electrical

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Distributed Learning over Edge Computing to Support Covid-19 Modelling

The proposed research will allow any device to contribute its computing capabilities to the general distributed computer. Combined, these devices become a super-computer — providing resources for researchers and scientists in their quest for discovery. This research focuses on the finely calibrated aspects of scheduling slices of computing on this computing network. The intern will be involved in performing the raw science in the laboratory and then bringing those results to the non-academic partner for incorporation into the product’s commercialization. By improving on the distributed computer, this project allows KDS to create a critical mass of users who love, utilize, and promote the DCP as a leading-edge tool for parallel computing worldwide. This will include the distributed computer’s support of the extension of COVID-19 and future pandemic analysis platform.

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Faculty Supervisor:

Hossam Hassanein

Student:

Duncan Mays

Partner:

Kings Distributed Systems

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Queen's University

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:

Pavel Kozik

Partner:

CheckingIn

Discipline:

Psychology

Sector:

Professional, scientific and technical services

University:

University of British Columbia

Program:

Accelerate

Managing Mental Health: A Survey-Based Research Evaluation of a COVID-19 Emergency Mental Health Counselling Program

In the midst of the current global COVID-19 pandemic, frontline service workers (e.g. healthcare and social services) are experiencing unprecedented work conditions that are physically, mentally, and emotionally exhausting, which impact one’s psychological well-being. To combat the impending mental health crises, McMaster University and the Canadian Mental Health Association (CMHA, Hamilton) are partnering to assess the effectiveness of a free short-term counselling initiative offered to Hamilton healthcare and social service workers. Counselling will be available through CMHA for all Hamilton essential human services staff experiencing stress and anxiety from working on the frontlines of the COVID-19 pandemic. Post-Doctoral Fellow, Dr. Diana Singh, will be leading a survey-based research program evaluation of CMHA’s new counselling initiative in order to determine its effectiveness in combatting the short and long-term mental health consequences—e.g. anxiety, post-traumatic stress, chronic stress and burnout—of working on the frontlines during the COVID-19 pandemic.

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Faculty Supervisor:

Marisa Young

Student:

Diana Singh

Partner:

Canadian Mental Health Association

Discipline:

Sociology

Sector:

University:

McMaster University

Program:

Accelerate

Development, characterization and Life Cycle Assessment of Smart Marine Coatings

This research project will determine the associated greenhouse gas emissions associated with an environmentally friendly graphene-based coating to see how it compares with other marine coatings currently in industry. The developed methodology can be used in future life cycle assessments, as it will provide an innovative way of modelling graphene-based coating systems. GIT will benefit from the results of the life-cycle assessment as they will be able to identify areas in their production process where they can reduce both costs and emissions. GIT will also benefit by using the LCA’s results to form an environmental marketing claim.

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Faculty Supervisor:

Clifton Johnston

Student:

Ryan Ingham

Partner:

Graphite Innovation and Technologies

Discipline:

Engineering - mechanical

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Gather: Testing and upscaling a Referrals Management Tool

There are currently no effective free, open-source tools in place to facilitate the resource management referral process at the community-level in British Columbia, Canada. There is a clear need to research, design, develop, implement, and evaluate tools and mechanisms that could streamline the duty to consult between government, proponents and First Nation communities, as well as facilitate the management and decision-making relating to the referral process. This proposed project will build on work completed over the past two years that, together with community partners, has successfully designed and programmed a community referrals tool called Gather. We will: develop training materials; deliver training workshops; evaluate Gather’s usability during these workshops; improve the cultural appropriateness and functionality of Gather from the community evaluations; and develop and implement marketing and sustainability plans in order to make Gather a viable open source tool for Canadian First Nations in the long-term.

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Faculty Supervisor:

Jon Corbett

Student:

Aaron Derrickson

Partner:

The Firelight Group

Discipline:

Cultural studies

Sector:

Professional, scientific and technical services

University:

Program:

Accelerate

Developing a Multiphysics FEA Model of an Inductive Conductivity Sensor

The CTD is a rosette structure which is circular in shape and houses a number of elements. These elements include sensors, water sample bottles, ropes and cables to support the CTD structure. The sensors included in the CTD are not limited to conductivity, temperature and depth, but also include sensors to determine other physical properties. In this research, a model of the CTD sensor designed by RBR will be developed for the purpose of measuring conductivity and determine the nature of the water sample by calculating indirect parameters associated with it. Other parameters such as temperature, pressure and material properties of the sensor are taken into consideration. An objective of this work is also to understand the proximity effect which affects the sensor due to the presence of other known elements near it. COMSOL Multiphysics is utilized to perform simulations for refining the model based on the results.

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Faculty Supervisor:

Arezoo Emadi

Student:

Siddharth Swaminathan

Partner:

RBR

Discipline:

Engineering - computer / electrical

Sector:

Professional, scientific and technical services

University:

University of Windsor

Program:

Accelerate

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