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

Rational Nanoparticle Design for Efficient Transmucosal Gene Delivery

Cystic fibrosis (CF) is the most common fatal genetic disease affecting Canadian children and young adults, without a cure. Nanoparticles (NPs) have emerged as a promising strategy for delivering genetic treatments for various diseases. However, the development of NPs to treat CF has encountered many obstacles. This is mostly because the human airways, which constantly secrete mucous, pose a challenging environment for the efficient NP-mediated delivery of gene therapy. Several strategies have been proposed and tested; however, rational design criteria for these NPs are still missing. Hence, the researchers, working closely with Providence Health Care, propose a two-pronged interdisciplinary approach (both modeling/simulations and experimental validation) to determine the properties required of the NPs for successful delivery in healthy and diseased tissue models, as well as to develop the criteria for rational NP design. We hope that this work will lead to a breakthrough in NP treatments for CF and other genetic diseases.

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Faculty Supervisor:

Sarah Hedtrich;James J Feng

Student:

Mohammad Reza Rokhforouz

Partner:

Providence Health Care

Discipline:

Engineering - chemical / biological

Sector:

University:

University of British Columbia

Program:

Upgrading Locally Available Sanitizer Ingredients for Health Services in Canada

In response to COVID-19 in Canada, demand for sanitizer products has increased dramatically. Health Canada has relaxed guidelines for sanitizers meant for consumers and maintained the regulation for medical grade ethanol in healthcare settings. In response to the increased demand and relaxed guidelines, organizations in the ethanol supply chain have been producing sanitizer products. The supply chains for sanitizer ingredients has been thoroughly disrupted. There is a need for medical-grade ethanol, and the reduction of impurities in consumer sanitizers will also benefit the public. This project is aimed at procuring sanitizer ingredients from alternative sources, analyzing and addressing the impurities to comply with the USP monographs for those materials (ethanol, ethyl acetate, acetic acid, hydrogen peroxide). Sanitizing products will be produced using these ingredients and distributed to health service providers. The process adaptations that are developed to address impurities will be generated with Good Manufacturing Practices, and appropriate quality control will be developed and practiced as part of production. The project will be directed towards creating a model which can be used to implement this procedure at other fuel grade ethanol plants and manufacturers in order to provide ongoing and future emergency preparedness on a national and global level.

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Faculty Supervisor:

Chris Zhang;Martin Reaney;Sarah Purdy

Student:

Karnjit Parma;Farley Chicilo

Partner:

Prairie Tide Chemicals

Discipline:

Sector:

Agriculture

University:

University of Saskatchewan

Program:

Accelerate

Moving Beyond BMI: Cardiovascular fitness as biological marker of reproductive health

The Healthcare Foundation plays an active role in improving patient experiences across Newfoundland and Labrador. The significant findings from research funded by the Healthcare Foundation helps improve the way we diagnose and treat our population. After a grant is received a board member from the foundation is updated on the findings of the research, who then examines how the results will improve healthcare practices in the province. If our study yields significant results, offline resources may become available to the patient population, which can be accessed without seeing a physician. The survey will also provide information on the patient demographics to help inform future research of Infertility in our province.
Our original study entailed a comparison between obese-fit fertile women and obese-lean fertile women that we will use to determine the effects of cardiovascular fitness on biomarkers of fertility. We will work with the Healthcare Foundation to apply our findings to incorporate a new element into the standard care procedures at Eastern Health. Additional resources will be highly beneficial for fertility patients while enduring the long waitlists to help improve treatment outcomes.

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Faculty Supervisor:

Sean Murphy

Student:

Tiffany Gale

Partner:

Health Care Foundation

Discipline:

Medicine

Sector:

Other services (except public administration)

University:

Memorial University of Newfoundland

Program:

Accelerate

Optimizing Pretrained Clinical Embeddings for Automatic COVID-related ICD Coding

We are building a machine learning algorithm to be able to better understand the unstructured clinical notes that doctors write about patients. This will help hospitals and healthcare systems standardize and extract insights from these notes to make them more useful for determining how sick COVID patients are and how they are improving over time.

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Faculty Supervisor:

Helen Chen

Student:

Georgios Michalopoulos

Partner:

Semantic Health Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Development of a Low-Cost Air Purifier for use in First Nation Houses to Improve Indoor Air Quality Affected by Mould, Smoke Particulate, and Air-borne Viruses such as COVID-19

Poor indoor air quality in First Nation’s homes is a major issue. Toxic particles such as mould, particulate matter from smoke due to tobacco or woodstoves use, radon progeny, and airborne viruses such as COVID-19, pose serious health hazards. An evidence-based research program is proposed to develop and evaluate through laboratory testing and field application various prototype air purifying and ventilation techniques appropriate for use in First Nation houses. While the study will be limited to First Nation houses in Manitoba, it is anticipated that the impact of the results will be felt across all First Nations in Canada.

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Faculty Supervisor:

Shirley Thompson

Student:

Panayiotis Polyzois

Partner:

Lynx Air Solutions Ltd

Discipline:

Resources and environmental management

Sector:

Manufacturing

University:

University of Manitoba

Program:

Predicting risk of unplanned hospital readmission within 30-days of discharge using machine learning approaches

Unplanned hospital readmissions are a preventable and costly outcome in the health care system. There are limited tools to estimate risk of readmission. The machine learning process offers an opportunity to develop a risk predictor to identify those at high risk of readmission upon discharge. OKAKI has an opportunity to diversify the commercial products it can offer to health care administrators.

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Faculty Supervisor:

Dean Eurich

Student:

Vishal Sharma

Partner:

OKAKI

Discipline:

Epidemiology / Public health and policy

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Studying Empathetic and Emotive User Interfaces for Data Collection During Disasters

In times of crisis or disaster, there is a need for software features and functions to be empathetic to the circumstances of the person who is using that software. Having empathetic software features and functions is particularly important when the software is being used to collect data about the health status and information needs of the person who is completing an online survey tool during a crisis such as a global pandemic. In this research we develop and validate design guidelines that can be used to make survey tools more empathetic to the circumstances of the user providing the information.

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Faculty Supervisor:

Elizabeth Borycki;Andre Kushniruk

Student:

Ryan Kletke

Partner:

Tickit Health

Discipline:

Other

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Leveraging machine learning to improve trauma-related health outcomes

Severe and multiple traumas can lead to post-traumatic stress disorder (PTSD) which causes distress and difficulty in many areas of life. Military members, veterans, and public safety personnel such as police officers, firefighters, and rescue workers are often exposed to traumatic events on-the-job (seeing natural disasters, human violence, or death). One severe subtype of PTSD is PTSD with dissociation, where the person feels as if one’s body is not their own, or as if the outside world is not real. Currently, we have limited knowledge about PTSD with dissociation and whether other subtypes exist. Advanced computer models will be used to analyze data from over 800 patients (military members, veterans, public safety personnel, civilians) who received treatment for PTSD. Findings may uncover additional PTSD subtypes, refine what we know about dissociation, and predict what factors lead to better functioning and recovery. These models will then be used to predict which subtype of PTSD an individual has and identify which type of treatment will most likely lead to recovery.

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Faculty Supervisor:

Margaret McKinnon

Student:

Anna Park

Partner:

Homewood Research Institute

Discipline:

Psychology

Sector:

University:

McMaster University

Program:

Accelerate

Enhancement of an AI-driven space situational awareness platform for more robust predictions

As transportation to space becomes more accessible, space debris pose increasing risk to operational satellites. Objects orbiting the earth can have a detrimental effect on space travel and threaten the
spacecraft and its personnel. These objects can be anything from active and passive satellites, orbital debris, space junk, asteroids and fragments from their disintegration and collisions. The first step toward
mitigating the adverse effects of these objects is to be able to predict their motion. Since the motions of these objects are very complex and not independent of each other, conventional techniques and directly
derived physical models fail. In this project, machine learning techniques are used to predict the motions of objects in space. Because machine learning techniques rely on a learning process, their accuracy can
wildly vary. This project specifically focuses on improving the prediction accuracy of two techniques implemented by Columbiad Launch Services Inc., by enhancing the data, and the training procedure that
leads to the machine learning.

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Faculty Supervisor:

Nasser Lashgarian Azad

Student:

Mehran Zamani Abnili

Partner:

Columbiad Launch Services

Discipline:

Engineering - mechanical

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Ice coverage prediction for the St-Lawrence River

This project aims at creating a model for forecasting ice formation in the St. Lawrence Seaway between the Welland Canal and Quebec City. This will improve drastically the planning of all maritime operations during the winter transition period, before the freeze-up.

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Faculty Supervisor:

Bruno Tremblay

Student:

Amélie Bouchat

Partner:

Fednav

Discipline:

Geography / Geology / Earth science

Sector:

Transportation and warehousing

University:

McGill University

Program:

Accelerate

Scaling up CO2 electrocatalysis

CERT has developed a technology to convert carbon dioxide into chemicals using water and renewable electricity in a system called a CO2 electrolyzer. They are scaling up this technology as part of the Carbon XPRIZE competition, a global race to find new technologies to make valuable products from CO2. CERT will take the CO2 from a natural gas power plant in Alberta and convert it into ethylene, a chemical building block used to make everything from plastics to textiles and cosmetics.
Interns from the University of Toronto will join the team and work on improving the carbon conversion technology. Through this work, the team will demonstrate the worlds largest CO2 electrolyzer. This research provides a path towards preventing climate change by converting CO2 into useful products.

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Faculty Supervisor:

Ted Sargent;David Sinton

Student:

Jonathan Edwards;Colin O’Brien;Joshua Wicks;Jehad Abed;Armin Sedighian Rasouli

Partner:

CERT Systems Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Effect of mixture proportions and constituents on the material and structural performance of ECC link slabs

Concrete bridge decks have joints, which are created because of the method used to build a bridge structure. These joints allow water and other deleterious materials to pass through the bridge deck corroding the deck and the supporting girders. Link slabs are provided to conceal these joints. A link slab is a thin slab made of special concrete called ECC. The main ingredient of ECC is fly ash which comes from coal-fired thermal plants. These plants emit a large amount of pollutants. Hence, Canada and many other countries have decided to decommission all coal-fired plants. Ontario has already decommissioned its last coal-fired thermal plant in 2014. This has created an acute shortage of fly ash. In the near future, fly ash will not be available. Hence, this Mitacs research project will develop ECC using alternative materials such as slag and GCC which are and will be readily available.

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Faculty Supervisor:

Sreekanta Das

Student:

Adeyemi Adesina;Erfan Zandi Zandi Lak

Partner:

Facca Incorporated

Discipline:

Engineering - civil

Sector:

Construction and infrastructure

University:

University of Windsor

Program:

Accelerate

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