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

Designing Criteria to Visualize Energy and Reduce Energy Consumptions

Because of pollution and climate change, reducing the use of energy produced using fossil fuels is a priority in the next few years. To reach the goal actions need to be taken such as increasing energy production using renewable sources and reducing consumptions. To save energy people should be aware of the energy they are using and adapt the demand of power to the offer of renewable energy. Therefore, an awareness of the use of energy and in demanding it at the right time is needed. Devices and artifacts can involve the users to accomplish these needs. With our project, we aim to explore and define guidelines to design user interfaces that provide suggestions on best habits on energy saving to the consumer. User interfaces and devices should be able to involve and influence users to follow energy saving suggestions while also maintaining their quality of life. TO BE CONT’D

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Faculty Supervisor:

Jamie Blustein

Student:

Nicola Di Matteo

Partner:

Sunreport IT

Discipline:

Computer science

Sector:

University:

Dalhousie University

Program:

Accelerate

Developing Intelligent Strategies for Factories of the Future – New approaches for high performance control, modelling, and inspection

This project encompasses various sub-projects aimed at developing enhanced approaches that will facilitate higher performing machines, geared towards enabling the concept of factories of the future (FOF). While this concept is established, research on new approaches that facilitate FOF are still early. The project conducts research on several sub-projects that include machine learning based robotic inspection and control, an intelligent part cooling scheme for injection molding, an order reduction approach for feature extraction and advanced control, and a model-free scheme for controlling challenging dynamics. All of these sub-projects will be targeted to industry via the industrial partner. The partner is one of the early global organizations implementing FOF methods to its clients. Its success is founded on executing research for continuous development on its intelligent software and hardware platforms. The partner will benefit on the integration of these new approaches that will filter to its clients resulting in higher efficiencies.

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Faculty Supervisor:

Rickey Dubay

Student:

Songtao Zhang;Edward Parrott;Ryan Finn;Meaghan Charest-Finn

Partner:

Eigen Innovations Inc.

Discipline:

Engineering - mechanical

Sector:

University:

University of New Brunswick

Program:

Accelerate

Innovative wastewater treatment flowsheet development for the high strength centrate from food waste processing facility

Centrate from food waste processing facilities contains higher concentrations of organic matters. Those contaminants (especially ammonia nitrogen) remain in the wastewater effluent after anaerobic digestion treatment, which are the great treat to the environment if not properly treated. Other contaminants (biochemical oxygen demand, chemical oxygen demand, total nitrogen, total phosphorus, suspended solids, etc.) also impact the downstream wastewater treatment processes. Many full-scale plants fail to meet all effluent discharge requirement or inability to consistently meet discharge criteria. This research project is to investigate the characteristic of the centrate from food waste processing facility and to develop new, reliable biological centrate treatment flowsheet.

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Faculty Supervisor:

Sheng Chang

Student:

Huihuang Ding

Partner:

SUEZ Water Technologies & Solutions Canada

Discipline:

Engineering - other

Sector:

University:

University of Guelph

Program:

Accelerate

Understanding the personalities of successful workers in customer-facing hourly roles

Screening candidates for hourly-paid jobs based on resumes is time consuming and unreliable. deepND is seeking to understand which traits are shared by a company’s top employees – and how to assess for these traits using data sources at the earliest stages of the recruitment process. The definitions of employee success and performance are often subjective and vary significantly across industries. Researchers will work with a combination of public and private data to understand what employee success means for deepND‘s partners, prepare workforce performance diagnostic for each of them, and determine which proxies can be leveraged to help prevent unsuccessful hires in the future. This will help deepND’s customers hire the right hourly workers with high performance potential, saving money by reducing turnover and increasing revenue by hiring higher performing workers.

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Faculty Supervisor:

Frances Chen

Student:

Alec Beall

Partner:

DeepND Inc

Discipline:

Psychology

Sector:

University:

University of British Columbia

Program:

Accelerate

Improvement of an all-on-chip assay for studying cell migration

Cell migration assays (CMA) are fundamental cellular functional tests that are routinely performed in many areas of cell research such as tissue development, wound healing, cancer metastasis and immune response. We have developed a prototype microfluidic all-on-chip CMA that allows rapid immune cell migration assay tested directly from one drop of whole blood. This chip is also useful to test other non-immune cell types and offers significant advantages over the existing CMA such as easy-operation, initial cell position control, and on-chip cell separation. Through this project, we will further develop this microfluidic assay to improve its throughput and cell isolation efficiency, extend its use for testing the migration of other cell types, and explore the motility-based cell selection. These researches will critically improve the performance and expand the capability of this all-on-chip CMA, which provides a solid basis for the spin-off company to successfully commercialize this technology

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Faculty Supervisor:

Francis Lin

Student:

Jiandong Wu;Xiaoou Ren

Partner:

BisonBio Ltd

Discipline:

Physics / Astronomy

Sector:

University:

University of Manitoba

Program:

Accelerate

Development and validation of a pipeline for a clinical Next-Generation Sequencing (NGS) test for detection of a rare genetic sterol disorder influencing low-density lipoprotein cholesterol (LDL-C) concentrations

Next-generation sequencing (NGS) panels are gaining popularity thanks to the high-throughput capability of sequencing technology and low cost per sample. In this study, we aim to validate the performance of a NGS panel for detection of a rare genetic sterol disorder, and to assess the utility of a prediction model to identify a combination of single-nucleotide polymorphisms associated with lowering effect of plant sterols in lowdensity lipoproteins cholesterol (LDL-C) concentrations in individuals with a rare sterol disorder. We anticipate that the results of this pilot project will provide an insight related to the utility of a NGS-based to improve the diagnostic and therapy for a patient with this genetic disorder.

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Faculty Supervisor:

Semone Myrie

Student:

Itzel Vazquez-Vidal

Partner:

Interra Biosciences

Discipline:

Food science

Sector:

University:

University of Manitoba

Program:

Accelerate

Expanding SIKU across the Canadian Arctic: an Inuit-driven platform for climatechange resiliency and self-determination

For the Inuit communities that reside in the Canadian Arctic, climate change and regional development have impacted people’s access to essential resources and their preservation of Inuit knowledge. By partnering with the Arctic Eider Society (AES) and Ocean Wise Ikaarvik program, I will translate my primary research in phytoplankton remote sensing into relevant information for northern communities using SIKU.org, an information sharing and social media platform that provides tools for monitoring, archiving and responding to environmental change. Combining field research, satellite remote sensing and engagement efforts to co-develop SIKU with communities across Nunavut, this partnership will shed light on localized patterns of marine ecosystem change across the Canadian Arctic coastline. Ultimately, these endeavors will build capacity for northern communities to manage environmental knowledge and adapt to climate change.

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Faculty Supervisor:

Philippe Tortell

Student:

Sarah Rosengard

Partner:

Ocean Wise

Discipline:

Sector:

Fisheries and wildlife

University:

University of British Columbia

Program:

Accelerate

The Canadian Association for Graduate Studies Task Force on Truth and Reconciliation Calls to Action and Graduate Education

The Canadian Association for Graduate Studies (CAGS) has created aTask Force on Truth and Reconciliation Calls to Action and Graduate Education (Reconciliation Task Force). This Reconciliation Task Force will examine the implications for graduate education in relation to the Truth and Reconciliation Commission of Canada’s (TRC) Calls to Action, to reflect on the role of graduate education in promoting reconciliation between non-Indigenous and Indigenous peoples in Canada, and to conduct a systematic review of reconciliation graduate educational practices from across the country. This work will enable graduate schools across Canada to make better decisions around the provision of supports and programming of reconciliation graduate educational practices. The Mitacs intern will have a major role in accomplishing this work.

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Faculty Supervisor:

Warren Cariou

Student:

Melanie Braith

Partner:

Canadian Association of Graduate Studies

Discipline:

Medicine

Sector:

Education

University:

University of Manitoba

Program:

Accelerate

Forestry Cloud App Project

Digital imaging has become a leading feature in cell phones, security camera and satellite images. In addition to a race for picture clarity, the opportunities for data analysis and artificial intelligence (AI) are among the key elements attracting attention. The emergence of image enhancement and AI is relatively new, although it has a number of players taking differing perspectives and positioning. This project is for research and development to extend the existing image fusion technology for applications in the forestry industry; specifically to identify species of trees using satellite imagery with an accuracy level of 60% or better. The outcome will eliminate the need by landowners/foresters to use “Photo Interpreters” (process where a person physically views the trees from a plane and estimates percentage of tree species in area) to analyze the percentage of trees by species on their land. This will save time and reduce costs significantly.

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Faculty Supervisor:

Patricia Evans

Student:

Sarthak Gupta

Partner:

SceneSharp Technologies Inc.

Discipline:

Computer science

Sector:

University:

University of New Brunswick

Program:

Accelerate

Piloting and Evaluating a DTES Community Steward Program

Community stewardship is an emerging paradigm in income generation activities for marginalized populations. Drawing on residents with lived experience, stewardship creates employment through utilizing local-residents as custodians in parks, plazas and other public spaces. In order to fully develop these opportunities a common curriculum needs to be developed. This training program will allow Downtown Eastside residents in Vancouver to obtain the necessary skills to become qualified community stewards for our local parks and plazas, as well as explore opportunities in the film and tourism sectors. The design and development of this training curriculum will address considerable gaps in provide innovative employment training and low barrier employment opportunities for local community residents to prepare them for employment and engagement along an income generation spectrum that includes activities ranging from life skills training and peer-based opportunities to full market based employment. This project will also examine how the Community Steward Program might improve social, economic and health outcomes for participants and the local community, and as a result of the training curriculum we will measure and evaluate the potential social return on investment (SROI) of the proposed activities.

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Faculty Supervisor:

Lindsey Richardson

Student:

Manpreet Hayre

Partner:

Vancity Community Foundation

Discipline:

Education

Sector:

Health care and social assistance

University:

University of British Columbia

Program:

Accelerate

Improving the magnetic properties of electrical steels

This project is intended to help the industrial partner, Stelco, to develop electrical steels with improved magnetic properties through controlled thermomechanical processing. Electrical steels are widely used in the manufacturing of stators and rotors of electric motors used in general rotating machines and electric vehicles. Improving the magnetic properties of electrical steels would result in more efficient traction motors, and consequently extending the driving range of electric vehicles. This is of particular importance for Canadians as the driving range of an electric vehicle is considerably reduced in cold weather. The research will focus on investigating the effect of the steel processing parameters on the final magnetic properties of electrical steels, both in pilot scale and in industrial production. Experiments will be carried out at CanmetMATERIALS, Natural Resources of Canada, using its pilot-scale rolling mill and other facilities. The results from the pilot-scale experiments will then be used to guide the production of electrical steels of the industrial partner, Stelco Holdings Inc. The research will involve both theoretical and experimental studies on the relationships among processing parameters, microstructure (texture), and final magnetic properties of the electrical steels.

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Faculty Supervisor:

Afsaneh Edrisy

Student:

Mehdi Mehdi

Partner:

Stelco

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

University of Windsor

Program:

Elevate

A generic microgrid controller with rule-based dispatch

In order to provide more reliable electricity, facilitate clean enery integration and supply energy to remote communitites, part of the power grid may be required to operate autonomously. Microgrids which can be islanded from teh main grid, are deployed for this purpose. However, the compositions and objectives of microgrids vary in different applications and operating modes. This project aims to design a generic microgrid controller with modular rule-based dispatch to address these challenges. Teal-time simulation and controller-hardware-in-the-loop test will be conducted to validate the basic dispatch. The proposed generic microgrid controller will help standardize the microgrid controller design and save the engineering effort of designing microgrid controllers in different applicaitons. The industrial partner will thus be able to make available provisions of developing and testing microdgrid controller to developers, owners and operators of microgrids.

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Faculty Supervisor:

Geza Joos

Student:

Chu Sun

Partner:

Opal-RT

Discipline:

Engineering - computer / electrical

Sector:

Manufacturing

University:

McGill University

Program:

Accelerate

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