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

Power electronics drivers for high-speed PM BLDC and SRM motors for ventilators

A study of Covid-19 patients revealed that about five percent of patients with the worst effects of the infection require a ventilator to push air into the lungs, take over the body’s breathing process, and offer the best chance of survival. To have a precise control, this research program aims to develop a Power electronics drivers for high-speed motors to control pressure loop precisely for maximum performance of ventilation capacities.

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Faculty Supervisor:

Mehdi Narimani

Student:

Negar Noroozi

Partner:

Enedym

Discipline:

Engineering - computer / electrical

Sector:

Manufacturing

University:

McMaster University

Program:

Assessment of grid-side energy storage systems for electric bus charging infrastructure

Electric buses have achieved first demonstration deployments in Canada. As bus fleet operators ramp up their implementation over the next 5-10 years, with many planning to fully convert their fleets to electric, charging capacity will become a challenge. This project will build up tools to examine the efficacy of energy storage located on the power grid side of the bus chargers to alleviate the high power requirements of the bus charges. This will help to mitigate technical challenges as well as costs associated with the charging the fleets.

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Faculty Supervisor:

Curran Crawford

Student:

Graham Wilson

Partner:

Canadian Urban Transit Research and Innovation Consortium

Discipline:

Engineering - mechanical

Sector:

University:

University of Victoria

Program:

Accelerate

Remote Monitoring of Production Operations During COVID-19 using a Smart Gateway Device

Since the COVID-19 outbreak, social distancing became the most effective approach to guarantee safety. In manufacturing operations this has been achieved through a work from home policy for non-essential personnel and staggered shift operations for essential personnel. However, it is near impossible to track essential personnel compliance to social distancing as well as optimize production operations manually due to the COVID-19 safety restrictions. Therefore, automated computer-vision-based alternatives have attracted interest for such applications. This project is expected to address this challenge by developing a platform to monitor social distancing using fog computing and deep learning.

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Faculty Supervisor:

Afshin Rahimi

Student:

Mohammad Anvaripour

Partner:

IFIVEO

Discipline:

Engineering - mechanical

Sector:

Professional, scientific and technical services

University:

University of Windsor

Program:

Development of SARS-CoV-2 antibody test technologies suitable for on-site diagnosis

This proposal aims to develop essential technologies for rapid and accurate SARS-CoV-2 antibody test in serum and droplet blood using microflow cytometry immunoassay (MCIA) for on-site testing. The test will assess levels of immunoglobin G (IgG) and immunoglobin M (IgM) antibodies produced in response to SARS-CoV-2 exposure. Unfortunately, none of the antibody testing tools currently available are suited for rapid and accurate on-site testing. The proposed MICA antibody test would serve as a much-needed on-site test method of infection and immunity screening. The developed antibody testing can change the game in the fight against COVID-19. The proposed MCIA antibody test is a revolutionary new tool that offers faster and more accurate SARS-CoV-2 infection and immunity testing compared to existing methods, providing on-site test results within mere minutes, completely altering the trajectory of the COVID-19 pandemic.

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Faculty Supervisor:

Chang-Qing Xu

Student:

Jianxi Qu;Yushan Zhang;Tyler Kashak

Partner:

Forsee Instruments

Discipline:

Engineering

Sector:

Manufacturing

University:

McMaster University

Program:

Accelerate

Direct[Message]: Understanding Mediated Engagement in the Arts for Marginalized Older Adults in Hamilton, Guelph, and London, Ontario

The Mitacs Intern will support the Direct[Message] project to develop and undertake online arts workshops for older adults to reduce social isolation resulting from COVID-19 and develop an understanding of the needs and wants of older adults who experience barriers to participation in the arts. The Intern will interview participants to gain knowledge about their experiences participating online in an effort to develop information that may be shared with engineers who are currently developing digital prototypes to support access to and participation in the arts. The development of enhanced technological possibilities for arts engagement is seen as an important resource for reducing the negative effects resulting from social marginalization and isolation.

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Faculty Supervisor:

Tara La Rose

Student:

Christina Luzius-Vanin

Partner:

Centre[3]

Discipline:

Social work

Sector:

Arts, entertainment and recreation

University:

McMaster University

Program:

Accelerate

Development of an intelligent surveillance solution that supports safe re-opening practices to public and private areas through social distancing enforcement and occupancy detection technology

Our project is part of a “Return to Work” program that allows public and private spheres to begin re-opening without increasing the threat of COVID-19. This project is focused on developing a highly intelligent surveillance solution that (1) detects and counts occupancy of an area to ensure occupancy restrictions are being followed; (2) tracks social distancing adherence between people; and (3) accurately and precisely records the temperature of occupants of an area to screen them for elevated internal temperature consistent with fever-induced hyperthermia, a key symptom of sickness and in particular COVID-19.

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Faculty Supervisor:

Glen Kenny

Student:

SAMARTH KUMAR SAXENA

Partner:

SmartCone Technologies

Discipline:

Engineering - computer / electrical

Sector:

Manufacturing

University:

University of Ottawa

Program:

Accelerate

Supporting Non-Profits through COVID-19: Online Social Innovation Labs

United Way will be adapting their resources around the creation of a Social Innovation Lab to provide support to organisations impacted by COVID19, specifically be increasing their capacity to deal with new COVID-related challenges. The research will provide evidence and direction for the creation an online collaborative platform that allows community service agencies to access expertise, support and training through a dedicated online portal. The SIL COVID-19 will provide community services agencies directly affected by COVID-19 with increased capacity to transform their programs and products.

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Faculty Supervisor:

Sandra Lapointe;Brent McKnight

Student:

Robert Alex Bryant

Partner:

United Way

Discipline:

Philosophy

Sector:

Health care and social assistance

University:

McMaster University

Program:

Accelerate

COVID19 viral genome sequence analysis to track viral transmission, to understand evolution of viral genome, to develop novel diagnostic tools as well as to identify novel therapeutic targets

A comprehensive genomic study for the virus SAR-Cov-2 itself and COVID-19 patient samples will be studies analyzed to understand the nature of the virus developments, and to find genomic biomarkers that helps in diagnosing and the treatment of the disease. We will try to understand the molecular network of the virus in the body and investigate the role of the coexisting agents as well in the patient samples. The bioinformatics tools and wet-lab experiments will help us to create a pipeline to react to any similar future epidemic/pandemic. And will help the local community in Windsor, ON and in the Canada to investigate more of the nature of the pandemic itself.

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Faculty Supervisor:

Luis Rueda

Student:

Iulian Eric Derecichei;Ashraf Abou Tabl

Partner:

ITOS Oncology

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Windsor

Program:

Accelerate

A Systemization of Knowledge on the Dual Nature of Technology in Providing Support to Sexual Assault Survivors

In light of the COVID-19 pandemic, there has been an increase in sexual assault incidents. Research shows that when there are disasters and economic meltdowns, there is usually a spike in sexual assaults. The world is experiencing both a pandemic and economic downturn. With self-isolation, social distancing, and the stay-at-home orders, the use of technology to provide support to survivors is now more critical than ever before. However, the use of technology could be a double-edged sword. Using technology to support survivors could sometimes increase the risk for survivors. Our research aims to provide a systemization of knowledge on research involving the use of technology to support survivors. Based on our findings, we can identify technological gaps and develop guidelines on how technology can better support these vulnerable populations during these unprecedented times and beyond.

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Faculty Supervisor:

Konstantin Beznosov

Student:

Borke Obada-Obieh

Partner:

Vesta Social Innovation Technologies Inc

Discipline:

Engineering - computer / electrical

Sector:

Professional, scientific and technical services

University:

University of British Columbia

Program:

Accelerate

Improved Commentary Prediction on Financial Data

Companies rely on financial reports which are generated through various transactions such as sales and expenses to understand the discrepancies between actual performance and financial forecast. Accordingly, generating commentaries on financial data might be considered as a routine operation for many companies. The previous studies indicate that machine learning algorithms can be used to automate the process of commentary generation. Specifically, such approaches use product forecasts and actuals in addition to inventory and point-of-sales data for the underlying prediction task. To incorporate these models in their daily activities, our partner proposes the development of a graphical user interface to allow end-users to interact with the model. By acquiring a deeper understanding of the data, we propose to improve the developed model in various ways. First, by engineering new features from the existing data, we aim to enhance the learning process and develop highly accurate models. Second, we plan to investigate time series classification approaches with deep neural networks considering that such methods enable pattern learning at different levels of detail. Finally, we consider applying natural language processing techniques to process commentaries and extract topics which provide a deeper understanding of the commentaries and serve as a validation tool.

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Faculty Supervisor:

Mucahit Cevik

Student:

Sanaz Mohammadjafari

Partner:

Unilever Canada Inc

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

Ryerson University

Program:

Accelerate

Design Analytics Interface for Generative Design

Generative design involves creating a large number of design alternatives. It is emerging as a frequently used computational design paradigm in exploring alternative designs. The practical use of generative design demands evaluating the alternatives generated using their form and performance data. We propose to further develop DesignSense, a design (data) analytics tool from the Computational Design Lab and experiment with its use during generative design workflows at Perkins and Will. The MITACS intern will work with the architects and computational designers at the industry partner in to identify, develop, and validate practical new key features for DesignSense for navigating through and analyzing design data. The outcome of the projects will include demonstration of design analytics software used in generative design along with assessment of their impact in the design practices of built-environments.

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Faculty Supervisor:

Halil Erhan;Robert Woodbury

Student:

Ahmed Abu Zuraiq

Partner:

Perkins+Will Canada

Discipline:

Interactive arts and technology

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

The impacts of human activity and landscape change on Rocky Mountain mammal communities

Gaining an understanding of the interacting impacts of human activity and landscape change on wildlife is an important step towards better understanding how to manage and conserve wild areas. The effects of landscape change on mammal communities have been studied, but interacting disturbances are rarely addressed. In Alberta’s Eastern Rockies, human activity is prevalent in the form of various types of recreation and harvesting activities, and landscape features like cutlines and forestry roads allow people increased access to the landscape. To understand how human activity influences species distributions, we will use camera traps to quantify species’ occurrence across the landscape and human use of trails to assess how human use impacts mammals. We will also assess how mammal occurrence is affected by level of landscape protection (unprotected to protected parks and wilderness areas). Results from this study will help inform better conservation and management of public wilderness spaces.

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Faculty Supervisor:

Jason T Fisher

Student:

Laura Eliuk

Partner:

Yellowstone to Yukon Conservation Initiative

Discipline:

Environmental sciences

Sector:

Other services (except public administration)

University:

University of Victoria

Program:

Accelerate

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