Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Novel healthcare focused videoconferencing system and Congenital Anomaly detection using Deep Learning

m-Health Solutions specializes in remote patient monitoring and cardiac diagnostics. Using leading-edge technologies. m-Health Solutions (MHS) offers a range of services for clients of all ages and are a leader in remote healthcare. The Centre for Mobile Innovation (CMI) at Sheridan College has collaborated with MHS and is in the process of developing a healthcare focused video conferencing system that offers a mobile-friendly means for patients to attend their appointments with physicians and healthcare providers online. Currently, MHS’s 100,000 patients need to make multiple trips to meet their healthcare providers which is inconvenient, increases the Carbon footprint and consumes substantial resources both from MHS and the patients. The proposed research project involves two main components: 1) enhance and refine the Mobile Client Portal we have developed in collaboration with MHS and deply it on an on-premise server at MHS with integration with MHS’s CRM using web services. Secure authentication will be accomplished by using Active Directory and SSL. Leading-edge web technologies will be used, namely: Jitsi Meet video conferencing platform, React, Java scripts, CSS, HTML; 2) Explore Data Science techniques to reveal insights in the large datasets MHS has on cardiac arrhythmias.

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Faculty Supervisor:

El Sayed Mahmoud;Ed Sykes

Student:

Partner:

m-Health Solutions

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Sheridan College Institute of Technology and Advanced Learning

Program:

Accelerate

Histoire de l’archidiocèse de Québec (1674-2024)

En 2024, l’archidiocèse de Québec, premier évêché du Nouveau Monde au nord du Mexique, commémorera son 350e anniversaire. À l’origine, son territoire correspondait à la Nouvelle-France. Par la suite, il n’a cessé de voir son étendue se restreindre au fur et à mesure que la population s’accroissait et qu’il fallait créer de nouveaux diocèses pour répondre aux besoins des catholiques. Malgré son importance majeure en Amérique du nord, l’histoire du diocèse de Québec n’a jamais été écrite. Le but du présent projet est donc de reconstituer cette histoire (à partir d’archives en provenance du Canada, de France, d’Angleterre et du Vatican) et de la présenter, notamment dans un ouvrage historique se déployant sur une triple trame scripturale, cartographique et iconographique, mais aussi à travers quelques manifestations scientifiques et pour le grand-public. Pour l’archidiocèse, ce projet permettra une meilleure connaissance de son passé, ce qui lui permettra de mieux se positionner pour l’avenir.

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Faculty Supervisor:

Philippe Roy-Lysencourt

Student:

Partner:

Archevêque Catholique Romain de Québec

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Université Laval

Program:

Accelerate

Prototyping and testing of novel facemasks for protection against SARS-CoV-2 aerosol transmission

The proposed research project to be undertaken by the interns involves laboratory measurement of the filtration efficiency and pressure drop of fabric-based filtration media. Results of these experiments will inform the selection of filtration media used by the partner organization for mass production of made-in-Alberta masks for protection of the public against viral transmission. Such protection is critical in helping to prevent the spread of COVID-19.

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Faculty Supervisor:

Warren Finlay;Reinhard Vehring;Andrew Martin

Student:

Partner:

Alberta Centre for Advanced MNT Products

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Canadianizing the Creating Conversations Dementia Activity Toolkit to Improve the Quality of Life of Those with Dementia

This research project is designed to help better meet the social, emotional, physical, and health needs of persons with dementia, as well as to assist caregivers in providing person-centred care. A Canadianized version of a toolkit will be developed to aid caregivers by giving them fun and interesting conversation starters and activities. Interns will assist in the initial data gathering phase to determine how to Canadianize the existing UK dementia toolkit, and assist during the pilot and evaluation phases to determine if the Canadianized toolkit improves the quality of life of those with dementia who participate in the project.
The partner organization’s network will benefit from this research project by utilizing the outcomes to increase their knowledge and support capacity to enhance care and the quality of life of persons with dementia.

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Faculty Supervisor:

Erika Goble

Student:

Partner:

CapitalCare

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

NorQuest College

Program:

Accelerate

Rapid detection of Salmonella in fresh produce using a paper-based microfluidic device based on recombinase polymerase amplification and lateral flow immunoassay

Salmonella is one of the most common causes of foodborne illnesses and 50% of its recent outbreaks are associated with fresh produce. To protect the safety of fresh produce, rapid, cost-effective and easy-to-use detection methods are necessary for government laboratories and food industry to frequently monitor Salmonella level. The gold standard bacteriological culturing and polymerase chain reaction (PCR)-based methods are generally time-consuming, labor-intensive, and complicated. To avoid these drawbacks, a recombinase polymerase amplification (RPA) method amplifying DNA at a constant low temperature (i.e. 37°C) with a high sensitivity will be developed. To further simplify the analysis, a novel paper-based microfluidics device incorporating DNA extraction, DNA amplification and results visualization will be developed. With this paper-based microfluidic RPA device, the overall detection time of Salmonella can be <30 min and the cost of each test can be ~$1 CAD. Requiring no sophisticated instruments, this device can be used for in-field Salmonella detection.

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Faculty Supervisor:

Xiaonan Lu

Student:

Partner:

Canadian Produce Marketing Association;NTBIO Diagnostics Inc

Discipline:

Life Sciences

Sector:

Agriculture; Other services (except public administration)

University:

McGill University

Program:

Accelerate

Using Additive Manufacturing to Minimize COVID 19 Transmission – Product & Process Development Support

This project is developed to leverage 3D printing to fabricate personnel protective equipment and other products that can help us navigate the COVID 19 pandemic. 3D printing can be used to quickly fabricate a design idea, but it is a slow process, and there is some inherent porosity, so using this process to make masks is problematic, and other products may prematurely fail. We can use the 3D printed parts for proof of concept, and as patterns to fabricate low volume molds. These molds will be complex, but using a rapid tooling fabrication approach, variants can be made and tested quickly to develop a robust manufacturing solution. This project is meant to support interim activities for addressing the COVID 19 pandemic

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Faculty Supervisor:

Ofelia A Jianu;Jill Urbanic

Student:

Partner:

CAMufacturing Solutions Inc

Discipline:

Engineering

Sector:

Information and cultural industries; Manufacturing; Professional, scientific and technical services

University:

University of Windsor

Program:

Accelerate

Multi-SNP prediction model for lung function decline

Chronic obstructive pulmonary disease (COPD) is a 3rd leading cause of death (1) which decreases lung function due to irreversible airway obstruction. The main indicator of the progression of COPD is a rate of the forced expiratory volume of 1 second (FEV1) decline. The intern will build the prediction model for the slope of FEV1 decline and find the genetic variants that affect these FEV1 changes. Some variable selection machine learning algorithms will be applied to screen important genetic variants and the performance of prediction on FEV1 change will be compared. The multi-SNP prediction model can be used to classify individuals who are expected to have a rapid decline of FEV1 based on their genetic information. These pre-screened patients can be targeted for frequent medical examinations.

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Faculty Supervisor:

Xuekui Zhang

Student:

Partner:

Providence Health Care

Discipline:

Mathematics

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

A Study on Information Diffusion Systems

In this project, a model interpreted by a differential equation system is developed to
study two-innovation diffusion. We will examine stability, developing tendency,
distribution, bifurcation and other properties of the system depending on different
model parameters. We will also investigate the corresponding discrete forms of the
system and compare the obtained results. Both approaches of mathematical analysis
and numerical simulations by computer programming will be applied. The model can
be applied to various practical circumstances in marketing, information diffusion etc..
For instance, profit optimization in the partner company can be studied using similar
approach but with real world data analysis. The outcome can provide inside for the
Infer Engine system.

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Faculty Supervisor:

Wenying Feng

Student:

Partner:

InferSystems

Discipline:

Mathematics

Sector:

Professional, scientific and technical services

University:

Trent University

Program:

Accelerate

A Novel Methodology for Online Measurement of Fly Ash Degradation of Amine Solutions

Solvent degradation in carbon capture plants due to the influence of fly ash is very costly and requires frequent replacement of the solvent used. Solvent replacement cost is the main hurdle to the deployment of Carbon Capture and Sequestration technologies. The proposed online analytical method would be a great tool in managing daily operations of the plant. It can also be used in troubleshooting operations, and in deciding on the optimum time for plant maintenance. Information about fly ash’s effect on solvent degradation is very scarce and no data is available from actual plant operations. If successful, this technique will allow for the collection of data and correlate them to other plan operational issues. This study will provide valuable information necessary for operating cost optimization of the flue gas cleanup, including further particulate removal versus the cost of amine management.

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Faculty Supervisor:

Amr Henni

Student:

Partner:

The International CCS Knowledge Centre

Discipline:

Engineering

Sector:

Mining; Professional, scientific and technical services

University:

University of Regina

Program:

Accelerate

The Black Equity in Alberta Rainforest (The B.E.A.R)

Anti-Black racism presents a major barrier in the social participation of African Caribbean Black (ACB) Canadians in civic leadership, arts and culture, and employment, as well as barriers to justice as negative relationships are created between communities and criminal justice systems. Resulting barriers and negative relationships are structural drivers of health inequity. In response, the Black Equity in Alberta Rainforest (B.E.A.R) is being developed as a vast network of key stakeholders to understand root causes of ACB related health inequity. The B.E.A.R is a comprehensive multidisciplinary applied research project to achieve Black related health equity using several innovative approaches to develop sustainable real solutions to systemic barriers to employment, justice and social participation. We believe there are deep lessons to be learned by the Ribbon Rouge Foundation, Alberta, and the world from applying this approach to understanding racialized health inequity.

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Faculty Supervisor:

Jan Selman;Erika Goble;Joseph Osuji;Shingirai Mandizadza;Viola Manokore

Student:

Partner:

Ribbon Rouge Foundation

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

NorQuest College; University of Alberta

Program:

Accelerate

Machine Learning for Increasing the Speed and Quality of Service in Online Medical Services

Telehealth/Telemedicine covers a variety of medical services offered through media such as telephone, email and the internet. As technology evolves, these online medical services can be further enhanced to improve the user experience. In this project, we aim to focus on a particular set-up where the patients interact with doctors over a chat service. The chat service employs a number of doctors with varying specialties, and at any time during a doctor’s work hour, he/she might interact with up to five patients concurrently. Accordingly, it would be essential to improve the flow of information between doctors and the patients. We aim to employ natural language processing and machine learning based approaches to improve the user experience in chat services. Further, we plan to investigate time series prediction methods for predicting the volume of patients requesting chat services over a given period of time.

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Faculty Supervisor:

Mucahit Cevik

Student:

Partner:

Your Doctors Online

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology

University:

Toronto Metropolitan University

Program:

Accelerate

Work, Family, Life During the COVID-19 Pandemic

The COVID-19 pandemic is a rapidly evolving, dramatic health crisis. Daily, the numbers are rising of people infected with, and killed by, the novel coronavirus. Due to physical distancing measures put in place to slow the spread of the virus, there are unprecedented work/life situations for thousands of Canadians, particularly those who are faced with the challenge of working remotely while providing care to their children and dependents such as elderly parents. This study, conducted over the course of the COVID-19 pandemic, will collect data from 60-80 adults across Ontario who have both work and care-giving responsibilities. Through an intake survey, followed by weekly phone interviews, researchers will examine their challenges, stressors, and coping strategies throughout the COVID-19 pandemic. Research results will help governments, business, and mental health support organizations better understand the social and human costs of crises such as pandemics.

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Faculty Supervisor:

Linda Duxbury

Student:

Partner:

Canadian Mental Health Association

Discipline:

Business

Sector:

Health and Related Sciences & Technology

University:

Carleton University

Program:

Accelerate

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