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

Mobilizing the beneficial microbiome of Ontario wheat against Fusarium

Scientists have been interested in the effects that microorganisms have on their host plants for over a century, however, recently researchers have been able to better tackle these questions with the advent of new technology. In particular, beneficial microorganisms associated with roots can increase crop resiliency against disease, pests and extreme weather events, making this avenue of research important for the protection of crops from climate change. Here we focus on identifying microorganisms and their communities, including an understudied group called protists, that will act as early diagnostic tools for farmers in defence against Fusarium head blight and root rot, which are widespread and common fungal diseases in Canada. In addition, we will test whether we can improve the outcome of wheat grown on diseased plants, soil and crop residue by applying a fungal eating protist isolated from disease resistant soils.

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Faculty Supervisor:

Kari Dunfield

Student:

Heather Slinn

Partner:

Syngenta Canada

Discipline:

Environmental sciences

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

A rational data-driven probabilistic approach for assessing the condition and performance of RC structures

A variety of alternative strategies have been developed for increasing the service life of reinforced concrete structures exposed to corrosive environments. An optimum design or repair strategy requires not only an estimate of upfront costs, but also the means to compare all associated costs against the potential extension to the life of the structure. Unfortunately, however, current asset management practice, which is typically based on tacit or implicit methods for asset condition assessment, performance prediction and management is no longer enough. The objective of this research project is to develop practical life cycle deterioration models that use measured field data to assess the current condition of existing RC structures and to predict the future performance of various repair or rehab strategies on the remaining useful life of these structures. Finite element analysis, experimental and analytical programs together with a field study will be carried out to achieve the objectives of this research.

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Faculty Supervisor:

Mohamed Boulfiza

Student:

Gang Li

Partner:

Zacaruk Consulting Inc.

Discipline:

Engineering - civil

Sector:

Construction and infrastructure

University:

University of Saskatchewan

Program:

Accelerate

Effect of Diesel Exhaust Exposures on the Respiratory Microbiome in COPD Airways

Some of the bacteria present in healthy lungs protect the lung against harmful germs. Studies have shown that people with lung diseases often lack these “good” bacteria in their lungs. Our team has been demonstrated that breathing polluted air causes lung inflammation, which can make it hard to breathe, especially for people who have lung diseases. We think that polluted air could change the lungs’ bacteria. To understand this, we will examine samples collected during a controlled human exposure to DE or filtered air (as a control) to evaluate the effect of polluted air on the lungs’ bacteria and lungs’ health. The Mitacs fellowship will help me in positioning myself as an expert at the intersection of environmental exposures and the airway microbiome, provides the support and guidance necessary for my transition to becoming an independent principal investigator and professor at one of the top Canadian universities. This study will contribute to the BC Lung Association’s mission of improving the respiratory health of British Columbians.

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Faculty Supervisor:

Christopher Carlsten

Student:

Illiassou Hamidou Soumana

Partner:

British Columbia Lung Association

Discipline:

Medicine

Sector:

University:

University of British Columbia

Program:

Accelerate

Stress Detection for Plants Grown in a Controlled Environment

Precision agriculture is the technique to replace traditional farming methods to sustainably improve crop productivity and ensure food security without adversely impacting the environment. Pure Roots Holdings Canada Inc. is managing an ecosystem that encapsulates 0.4 acres of the effective farming area into a modular grow room called AeroPod. AeroPod provides an automated, modular, mobile, and controlled indoor growing ecosystem which can be easily shipped anywhere across the globe. AeroPod makes growing virtually independent of multiple constraints like the growing season, harsh weather, large space requirements, etc. AeroPod provides systems to control environmental factors like temperature, humidity, air quality, sunlight, and water/nutrients supply. The objective of this project is to utilize computer vision and machine learning for plant stress detection. The project will add data-driven smart capabilities to AeroPod and make it more reliable, autonomous, and user friendly.

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Faculty Supervisor:

Abdul Bais

Student:

Hafiz Sami Ullah

Partner:

Pure Roots Holdings Canada Inc.

Discipline:

Engineering - computer / electrical

Sector:

Agriculture

University:

University of Regina

Program:

Accelerate

Biogeographical modeling of coronavirus dispersal

The project will reformulate the coronavirus dispersal hypothesis to food web disturbance caused by ‘social mood’ of human behaviors. We will develop a dynamic system-theoretic model to capture the change pattern of such a “social mood” and identify early warning indictors. The approach will be an advance for understanding the pathogen dispersal risk among those known- and unknown- susceptible species along the food web. This will be very important for contingency plans of COVID-19, especially in travel recommendations and pathogen containment.

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Faculty Supervisor:

Kai Liu;Shafiqul Islam

Student:

Junshi Dong

Partner:

Fanta7 Media Group

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Prince Edward Island

Program:

Accelerate

Private Equity and Environmental, Social, Governance (ESG)

Financial institutions are under increased scrutiny for their role in environmental, social, governance (ESG) risks and impact. In November 2019, the European Parliament introduced the first ever legislation on ‘Sustainability Disclosure’ for financial institutions. Within financial institutions, the private equity industry stands out as an asset class which could have a significant impact on ESG factors. Private Equity is the single largest in the private capital markets with 4,000 institutions worldwide, representing around 15,000 companies and close to $3TN in assets under management. Private equity also happens to be the single largest class of signatories in the United Nations Principles for Responsible Investment (UN PRI) which means that the industry is taking a more committed interest in responsible investment practices. This research project seeks to find the role between private equity and sustainable development, following into matters of materiality and using technology platforms to enhance sustsainability reporting. The benefit to the partner organization is to protype, test and pilot cloud-based technology platforms for sustainability reporting in financial institutions and assess commercial potential for this.

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Faculty Supervisor:

Olaf Weber

Student:

Majid Mirza

Partner:

Blue Sky Sustainability

Discipline:

Environmental sciences

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Machine Learning Engineering and Optimization for Improving Seafood Production

In this project, machine learning and optimization will be applied to a 20 GB dataset on raw fish quality and process control parameters collected by the Tally software over a three-year period in a large industrial tuna cannery processor. The goal of the research is to design predictive machine learning and optimization algorithms maximizing the production yields and reducing waste, which could save hundreds of thousands or even millions of dollars a year depending on the seafood processor scale. The partner organization, ThisFish Inc. will embed the AI solutions obtained in this research project in the existing Tally software and offer to its customers, seafood processing companies in Canada and abroad. In addition, the project has an obvious sustainability aspect as it increases traceability of a product in the supply chain ensuring that seafood comes from environmentally and socially responsible harvesters and processors.

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Faculty Supervisor:

Peter Khaiter

Student:

Bahareh Teimouri Lotfabadi

Partner:

ThisFish Inc.

Discipline:

Other

Sector:

Agriculture

University:

York University

Program:

Accelerate

Investigating the use of mixed reality technologies as a solution to help mitigate the challenges under the COVID-19 restrictions for artistic collaboration and education

Traditionally, artistic communities relied on face-to-face encounters to learn their skills, collaborate, and showcase their work. Due to COVID-19, performances in the arts have been abruptly halted and traditional music lessons take place at a studio has stopped.
This project aims to examine and provide a prototype solution to mitigate the challenges in artistic collaboration and education that are the result of the COVID-19 pandemic. We will focus on employing asynchronous and real-time video and 3D data streaming technologies as an alternate means of creating an immersive environment that will be more satisfied with the existing system. We hope to establish collaboration models (including UI/UX, control and communication, and trust/privacy) with these technologies for education and creative collaboration.
There is an immediate need to explore a new paradigm for performing, teaching, collaborating, and learning in the artistic communities. This research project will benefit practitioners and researchers on how advanced technologies can be used for day-to-day learning and education of our future artists and extending the collaborative creative practices of artists, whether in-studio or online.

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Faculty Supervisor:

Herbert Tsang

Student:

David J.D. Hampson

Partner:

Credo Interactive Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Trinity Western University

Program:

Accelerate

The use of a fast platform to design and develop anti-SARS-CoV-2 peptides for a therapeutic intervention of COVID-19

We are attempting to cure COVID-19! This is a very important initiative! Currently, no cure or vaccines are available to combat SARS-CoV-2. There is an immediate need to develop such therapies. The importance of developing a cure for COVID-19 cannot be overstated! Here, we propose an alternative approach to traditional drug development methods. Our approach provides a very fast and cost-effective method to develop anti-COVID-19 therapies. It is well established that the viral S protein that binds to the human ACE2 receptor. This interaction mediates the entry of the virus into the human cell where the virus replicates. Here, we propose to use an alternative computational tool to design peptides to bind to S protein and inhibit its binding to the human ACE2 protein or alternative proteins needed for virus replication in the cell.

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Faculty Supervisor:

Ashkan Golshani

Student:

Maryam Hajikarimlou

Partner:

Orpheus Medica Inc.

Discipline:

Biology

Sector:

Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

Waste Heat Recovery for High Energy Efficiency: Simulation-Based Analysis and Design

Combined heat and power generation (CHP) is an efficient method of recovering waste heat of flue gas in internal combustion engines. CHP using natural gas (NG CHP) is actually a NG power generator combined with a waste heat recovery (WHR) system. The by-product heat from the electricity generation is captured by passing the high temperature flue gas through a heat exchanger, referred to as heat recovery unit (HRU). In collaboration with FEED engineering, whose area of expertise is design and analysis of energy systems, we intend to develop an innovative heat exchanger design to recover the waste heat of flue gas at the high and medium temperature ranges. The developed heat exchanger design will be part of a HRU which will be integrated into a WHR system. We also aim to establish an enduring partnership with FEED for future collaborations in designing, fabrication and test of an advanced WHR system (SmartGen).

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Faculty Supervisor:

Joshua Brinkerhoff;Abbas Sadeghzadeh Milani;Sunny Ri Li

Student:

Mehdi Jahandardoost

Partner:

FEED Engineering

Discipline:

Engineering - mechanical

Sector:

Professional, scientific and technical services

University:

Program:

Accelerate

Accelerated development of a recombinant protein vaccine against COVID-19 by integrating the SARS-CoV-2 S-protein antigen with a new delivery system

The objective of this proposal is to develop a new candidate recombinant protein vaccine for the new coronavirus disease 2019 (COVID-19) based on a novel protein delivery and adjuvant technology, iPDT. If successful, this research will advance another COVID-19 vaccine candidate(s) to the pipeline toward clinical use. The causative agent of COVID-19 is SARS coronavirus (CoV)-2. The spike (S) protein of CoV protrudes from and covers the surface of virus particles and interacts with host cell to initiate infection. We will test if the S protein derivatives induce protective antibody responses when delivered in conjunction with iPTD. In prior studies, we observed that a protein modified by iPTD elicited an earlier and stronger antibody response in mice compared to the commonly used adjuvant, alum. We are expecting that the SARS-CoV-2 S protein with iPTD delivery system can be adopted as a strategy to quickly generate a vaccine for COVID-19.

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Faculty Supervisor:

Masahiro Niikura

Student:

Siobhan Ennis

Partner:

iProgen

Discipline:

Kinesiology

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Design and simulation of robotic assembly cell for mass timber offsite construction facility – Phase 1

In this project, a key research project for the robotization of the timber building construction is proposed. By developing a full-scale robotic cell for mass timber walls and showcasing its benefits compared to current manual situations, in terms of safety, quality, productivity and so forth, we expect to support the introduction of robotic cells in offsite construction facilities. For this, we plan on researching two key areas: 1) how to transfer the necessary information from BIM models (most popular software platform for building design and development) to robotic programming environments; and 2) design the necessary robotic cells, tools, and support systems to create a fully operational assembly line in a simulated environment. With both outputs, this research will provide a clear understanding on the capacity of robotic systems for mass timber building construction.

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Faculty Supervisor:

Rafiq Ahmad

Student:

Emanuel Martinez;Harshavardhan Mamledesai;Pablo Martinez;Vedasree Mudireddy

Partner:

Deformance

Discipline:

Engineering - mechanical

Sector:

University:

University of Alberta

Program:

Accelerate

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