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

Comparison of “Maxwell” Plate Electromagnetic Modelling and General, Full-Physics Modelling for Thin, Conductive Mineral Exploration Targets

This proposal outlines research work that will compare the capabilities and accuracy of
a common, fast but approximate approach to computer modelling of geophysical electromagnetic (EM) data with an approach that considers a much more complete description of the modelling problem. The primary goal is to determine
for what situations the plate-based modelling is adequate and for which it is not, with the
secondary goals of improving our understanding of the physics involved in geophysical EM
surveys for mineral exploration targets, and to try to identify tell-tale signs that might
indicate when plate-based modelling is starting to fail. The research will be carried out
in partnership with Crone Geophysics & Exploration Ltd.

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Faculty Supervisor:

Colin Farquharson

Student:

Jianbo Long

Partner:

Crone Geophysics & Exploration Ltd.

Discipline:

Geography / Geology / Earth science

Sector:

Other

University:

Memorial University of Newfoundland

Program:

Accelerate

Application of time-frequency based techniques to assess Auditory Brainstem Responses in newborn hearing assessment

Automatic detection and classification of the Auditory Brainstem Responses (ABR) is used in newborn hearing screening. Improved detection algorithms will reduce test time, prevent infants with hearing loss from being missed while reducing the number of normal hearing babies referred to diagnostic testing. We have already improved the objectivity of ABR classification in neurological assessments by using Continuous Wavelet Transform (CWT) and Machine Learning (ML). In the proposed project, we seek to validate our findings further to improve the objectivity in the newborn hearing assessment. We intend to implement the algorithm in real-time for faster and accurate diagnosis of hearing impairment. The project will be carried in partnership with Vivosonic Inc.; a reputable company focused on auditory screening and diagnostics. It is expected that the outcome of this work will be beneficial to the partner to improve their system to supply clinicians with valuable clinical tools.

View Full Project Description
Faculty Supervisor:

Prudence Allen

Student:

Hasitha Wimalarathna

Partner:

Vivosonic Inc

Discipline:

Engineering - computer / electrical

Sector:

University:

Western University

Program:

Accelerate

Development and Optimization of Fish Hydrolysate Fertilizer Formulation

The fish processing industry produces a high level of fish waste (head, bones, skin, fins, etc.) which is often discarded in landfills. This underutilized biomass waste stream has potential to be upgraded through hydrolysis to be used an organic fertilizer. Eberts Fur Farm Inc. currently obtains fish waste from a local food supplier to use in their animal feed formulation. They are now looking to diversify their business with the production of organic fish-based liquid fertilizer in order to fulfill Chatham-Kent’s demand for a regional and organic supplier of fertilizer solutions. The main objective of this project is to develop and optimize the formulation and production of fish hydrolysate fertilizer. Eberts has already experimented with hydrolyzing fish waste to fertilizer, but needs help in optimizing the process, especially in light of the observation that their three different fish feedstocks react differently to the hydrolysis process.

View Full Project Description
Faculty Supervisor:

Rob Nicol

Student:

Collin Boyd;Riddhi Patel

Partner:

Eberts Fur Farm Inc.

Discipline:

Other

Sector:

Other

University:

Lambton College

Program:

Accelerate

Translucent photovoltaic blinds: a novel solution for solar energy harvesting using perovskite

Climate change has been a top concern of Canadians for the past several years. Canada is among 3 top global CO2 emitters per capita. Our goal is to develop and commercialize a viable solar energy harvesting system to help Canada decarbonize its economy.
Amorphous silicon has the most mature technology in the photovoltaic market. Silicon solar cells are mostly used in solar farms or installed on roofs. Their installation is not only costly, but also requires architectural modifications preventing tenants from using solar panels due to the lack or limited permission for any architectural changes.
We are developing a new cost-effective material, perovskite, to replace silicon and use it to fabricate photovoltaic blinds. By installing the blinds behind windows, we can use sustainable solar power to generate electricity. No architectural changes are required. Photovoltaic blinds also reduce energy cost for heating and cooling during winter and summer.

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Faculty Supervisor:

Makhsud Saidaminov

Student:

Deepak Thrithamarassery Gangadharan

Partner:

Solar-Ventures

Discipline:

Chemistry

Sector:

Energy

University:

University of Victoria

Program:

Freeze purification of mine-impacted water: laboratory study and mathematical modeling

The project is dedicated to the investigation and testing of environment-friendly, energy-efficient freezing technology for the remediation of mine-impacted water. This technology could be beneficial and economically feasible for the regions with cold weather conditions and vulnerable to anthropogenic impact. The primary research objectives of current project are to continue and advance laboratory experiments started by Core Geoscience Services Inc. on the removal of impurities from mine-impacted water through cryopurification and to develop and validate a mathematical model that integrates the main physical and chemical mechanisms of ice formation process and mine-impacted water species removal. The outcomes of the project are planned to form a foundation for the development of a water treatment technology that utilizes northern climates’ cold temperature conditions and has the potential to be scaled up and applied at mine sites, or industrial sites, in the following years.

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Faculty Supervisor:

Ajay Ray

Student:

Daria Popugaeva

Partner:

Core Geoscience Services Inc.

Discipline:

Engineering - chemical / biological

Sector:

Professional, scientific and technical services

University:

Western University

Program:

Accelerate

Design of Reliable Resource Management Solutions in Cloud Environments for Medical Analytics and Beyond

While cloud-based medical analytics is important for facilitating efficient, patient-centric smart healthcare services, the reliability of the cloud is often under question because of many cloud failures and outages. In this project, how to reliably assign the resources and tasks to the cloud through virtual machine and medical service migration will be investigated, modeled, and evaluated through simulations and experiments. This will provide practical and adaptable solutions for health caregivers. The model will serve as a guide to caregivers and caregiving facilities for the achievement of reliable resource management. The effectiveness of the model will be evaluated and tested using both mathematical optimization and Artificial Intelligence (AI)-based models. Journal publications in high impact factor IEEE transactions and/or journal(s) will be targeted to report the adopted methodology and experimental findings.

View Full Project Description
Faculty Supervisor:

Zubair Fadlullah;Salimur Choudhury

Student:

ABM Bodrul Alam

Partner:

Thunder Bay Regional Research Institute

Discipline:

Computer science

Sector:

University:

Lakehead University

Program:

Accelerate

Evaluation of Treatment Processes for Greenhouse Wastewater Streams

The greenhouse industry constantly strives for innovative solutions to reduce production costs and environmental footprint. Greenhouses commonly generate process water including nutrient feedwater and other non-production wastewater. They also use fertigation, a soil-less drip irrigation method that requires large quantities of water and nutrients. Due to sharp reduction of available phosphorus (P), P recovery from wastewater streams is an economic opportunity. This research will determine optimum treatment conditions for acidic condensate water from cogeneration process and will explore a combination of mineral sorbents and biological materials to intercept and capture P from greenhouse effluents. Washing out cannabis roots is an important process, which uses large amounts of water; yet there are no standards for its disposal. Properly treated wash water can be recycled back; therefore, wash water treatment will also be evaluated using media filtration and advanced oxidation processes such as ozonation, O3/H2O2 and UV.

View Full Project Description
Faculty Supervisor:

Madhumita B Ray;Anand Prakash

Student:

Waleed Jadaa

Partner:

Sco-Terra Consulting Group Limited

Discipline:

Engineering - chemical / biological

Sector:

Other

University:

Western University

Program:

Accelerate

Comparative analysis of real-time weld quality monitoring camera systems working in visible, IR and NIR spectra

Real-time weld monitoring system helps prevent the rejection of large portions of defective welds. It is likely that monitoring camera systems that work in infrared light may be able to reveal some weld defects better than the visible light cameras. The project goal is to perform a comparative experimental study on the ability of the infrared and visible light cameras to detect weld imperfections. The partner organization for this project is Xiris Automation Inc., a company that produces real-time welding control and monitoring systems. The results obtained within this project will help the partner to produce better customers-oriented systems that will increase the productivity of the manufacturing processes of the Canadian industry.

View Full Project Description
Faculty Supervisor:

Patricio Mendez

Student:

Dmytro Havrylov;Mackenzi Johnston

Partner:

Xiris Automation Inc.

Discipline:

Engineering - chemical / biological

Sector:

Manufacturing

University:

University of Alberta

Program:

Accelerate

Developing cultural practices to produce dry beans in Quebec

It is critical for farmers to have the information necessary so that they can make decisions on the best practices to undertake when growing a new crop. Pulse production is growing in demand and is an established market in Canada. In addition, plant based protein products are growing in popularity. We are working on developing a set of tools and information that will enable farmers to grow more pulses in Quebec. We will determine basic agronomic parameters that will maximize crop yield and minimize risk of crop failure. These will be planting date, space between rows, number of plants per hectare and cultivar selection.

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Faculty Supervisor:

Valerio Hoyos-Villegas

Student:

Jennifer Lin

Partner:

Bonduelle Canada Inc.

Discipline:

Forestry

Sector:

Agriculture

University:

McGill University

Program:

Accelerate

Bingo Impact Management: A Social Impact Management Platform for Sport

Bingo Impact Management is a social impact management platform designed to help practitioners collect, analyze, and report on sport programming outcomes. This platform leverages technology in the form of a participant-driven app and client-facing portal and reporting capabilities to affordably and accessibly bring evaluation tools to sport programmers, non-profit organizations, and coaches. Sport organizations, various levels of government, and non-profits all seek to leverage the benefits of sport for community and individual well-being. However, conducting evaluation of these programs, while critical for funding continuity and meeting reporting requirements, can be extremely costly in terms of both time and expense. Bingo simplifies this process by designing, developing, or selecting appropriate questionnaires, administering surveys to participants, and structuring reporting frameworks for client organizations. This simplifies the evaluation process, generating reliable insights and helping sport programmers better communicate their outcomes.

View Full Project Description
Faculty Supervisor:

Andrea Bundon

Student:

Caitlin Pentifallo Gadd

Partner:

Bingo Impact

Discipline:

Other

Sector:

Professional, scientific and technical services

University:

University of British Columbia

Program:

Improving Craft Brewing through Optimization of Yeast Function

Beer has been brewed since the dawn of civilization and is composed of only 4 simple ingredients: hops, water, toasted barley (called malt) and yeast. Yeast are the factories that convert chemicals in the starting materials to ethanol and flavors. Not all yeast are the same; over the millennia selection of specific yeast strains for specific brewing purposes has force the yeast to ‘evolve’ changing their genetic composition. For example, yeast used to make ales have a different genetic composition to those used to make lagers. But how does this change in genetic composition lead to such vastly different beers? The aim of this project is to use new technologies in both genetic analyses and chemical classification to identify how the genes in specific yeast strains are able to generate different beers. Our aim is to further ‘train’ yeast to better use their genetic material and make them more efficient at producing specific chemicals/flavors. Brewers make the selection of the appropriate malt and yeast based on previous experience; however, this can lead to problems when trying new brews, using new materials, or troubleshooting.

View Full Project Description
Faculty Supervisor:

Christopher Eskiw

Student:

Joshua Allan Douglas Pickering

Partner:

21st Street Brewery

Discipline:

Food science

Sector:

Manufacturing

University:

University of Saskatchewan

Program:

Accelerate

Measuring the contributions of non-crop areas to precision canola yield: Phase 2

Canola growers recognize that the beneficial arthropods that live in natural habitats and non-crop areas may play an important role in augmenting and stabilizing crop yields. These bees, flies, beetles, spiders and other arthropods may spill over into the crop, and through pollination or pest control, help to improve yields, decrease inputs, and increase profitability. A postdoctoral fellow will assess the relationship between natural habitats and canola yield that may result from these spillover effects, or other ecosystem services. Their task will be to use precision yield data collected by sensors on the harvesting equipment of grower-cooperators. These data will be applied to build spatial statistical models relating yield hotspots with non-crop areas in at least 60 fields. The partner organization, Canola Council of Canada, will receive an assessment of the potential for non-crop areas (which are very common in prairie canola fields) to contribute to yield, as well as advice which it can disseminate to canola growers about how to leverage any effects of non-crop areas effectively.

View Full Project Description
Faculty Supervisor:

Paul Galpern

Student:

Samuel Robinson

Partner:

Canola Council of Canada

Discipline:

Biology

Sector:

Agriculture

University:

University of Calgary

Program:

Accelerate

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