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

Validation of the Rootd App for Reducing Anxiety and Panic Attacks

During the COVID-19 pandemic, it’s become quite apparent that mental health needs to be prioritized. Due to the demands of social isolation, getting adequate mental health support can be difficult. However, the mobile application Rootd provides a low-cost and large-scale solution to this problem, as it can help the average person deal with increased anxiety and panic attacks. In this proposed work, we will undertake a scientific validation of the Rootd app through the use of methods from psychology and neuroscience. That is, we will track participants anxiety levels and panic attacks rates as user use the app. As well, we will collect people’s brain waves as they go through an 8-week cycle of using the app to provide further objective measures of the app’s effectiveness. We hope that this work will provide one possible solution to the mental health crisis that arose following COVID-19.

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Faculty Supervisor:

Olave Krigolson

Student:

Thomas Ferguson

Partner:

Rootd

Discipline:

Psychology

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Mood state and outcome prediction in mood disorders using digital phenotyping andmachine learning

Individuals with mood disorders suffer with a significant burden. Beside experiencing mood symptoms, they also have cognitive and functioning impairments, are at greater risk of suicide and hospitalization, and have a poorer quality of life. Traditional psychiatric assessments are subjective and not able to capture events in real-time. Smartphone assessments and digital phenotyping – the interaction between user and smartphone captured in real-time – can provide a more robust, objective, and extensive view of what is going on with mood disorder subjects. We intend to use the mettleAI app to capture clinical assessments and passively collect data to predict mood episodes, outcomes, and to improve the user experience with the platform. The intern will be able to apply his research in a business context, translating his academic experience into an applicable tool. The partner organization will be able to perfect their product and deliver to the market a state-of-the-art application enriched by clinical research and users’ feedback.

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Faculty Supervisor:

Benicio Frey

Student:

Diego Librenza Garcia

Partner:

mettleAI

Discipline:

Psychology

Sector:

Real estate and rental and leasing

University:

McMaster University

Program:

Accelerate

An Integrated Renewable Power and Transportation System for the Caribbean Region – Possible COVID-19 related death reduction through reduced MP2.5 emissions

This project aims to develop an integrated wind and solar energy-based power system for the Caribbean region and show that the system will significantly reduce CO2 and MP2.5 emissions which have now been linked to higher incidence of COVID-19 deaths. It is intended to bring the potential investors to Canada out of this project to collaborate with regarding academic and partner organizations. The developed system provides carbon-free electricity production for the region. Furthermore, the system proposes an 80-HP pneumatic vehicle for the daily driving of the public. Transportation and power sectors are two main greenhouse gas emitters (25% of regional GHG emissions) of the region. Due to the nature-friendly characteristic of the developed system, it may contribute to achieving the GHG emissions target that has promised under the Paris agreement. Interns involving in this research project will have a significant opportunity to apply their theoretical knowledge to the field and get an excellent experience to develop their abilities further. The partner organization will utilize this research to expand the business and have the upper hand over the competitors. On top of all, ecological problems due to GHG emissions, and possible solutions will be pointed out once again through TBCONTED

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Faculty Supervisor:

Ibrahim Dincer

Student:

Ali Karaca

Partner:

Air Lab Inc

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

Ontario Tech University

Program:

Accelerate

“Virtually” connected: Can virtual reality technology foster closeness and intimacy in romantic relationships? – Year two

Social connections, especially satisfying romantic relationships, are vital for health and well-being. Yet, couples are spending increasingly more time apart, limiting opportunities for connection and intimacy. However, engaging in shared novel activities (i.e. self-expanding activities) can help couples connect and maintain their relationship over time. Indeed, couples who experience more self-expanding opportunities in relationships feel closer to their partner and are more satisfied and connected in their relationship. As such, we will assess the extent to which virtual reality (VR) can be used to simulate face-to-face interactions and provide couples with the opportunity to connect and self-expand when apart. We anticipate that VR will increase perceptions of novelty, as well as perceived intimacy and satisfaction. Hence, we propose two studies testing whether using VR technology simulates face-to-face interactions fostering more closeness and intimacy compared to other forms of mediated communication (e.g., video interactions, instant messaging). Additionally, we seek to assess if orienting couples toward the opportunities for connection and novel experiences using VR compared can bolster feelings of closeness and connection during virtual interactions. Our results will also provide useful information about couple’s experiences using VR and provide Facebook with information about couple’s experiences using Oculus Rift.

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Faculty Supervisor:

Amy Muise

Student:

Rhonda Nicole Balzarini

Partner:

Facebook Inc.

Discipline:

Psychology

Sector:

Information and cultural industries

University:

York University

Program:

Elevate

Development of Artificial Intelligence Powered Technologies in Computational Pathology to Enable Automated Slide Screening in Whole Slide Imaging – Year two

Advances in Whole Slide Imaging (WSI) and Machine Learning (ML) open new opportunities to create innovative solutions in healthcare and in particular digital pathology to increase efficiencies, reduce cost and most importantly improve patient care. This project envisions the creation of new automated ML tools including the design of a custom Convolution Neural Network (CNN) architecture for whole slide imaging in digital pathology. The custom CNN will be trained to learn different representations of histology tissues so that it can separate healthy from diseased tissues. A substantial database of labeled healthy tissue will be used to assess the performance of the proposed solution. A limited validation of the engineering prototype developed through this project will take place at St. Michael’s hospital in Toronto. The technologies developed through this project have the potential to be integrated in an automated screening process in pathology to improve pathologist time efficiencies and reduce errors in diagnosis of disease. The outcome of this research will be of great benefit to the industrial partner since it serves as a pilot project for developing an advanced, data-driven, digital pathology solution that complements its current line of pathology scanners.

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Faculty Supervisor:

Konstantinos N Plataniotis

Student:

Mahdi S Hosseini

Partner:

Huron Digital Pathology

Discipline:

Engineering - computer / electrical

Sector:

University:

University of Toronto

Program:

Elevate

Subjective Evaluation of Vehicle Semi-Active Suspension for Improved Ride and Handling

Semi-active suspension systems (SASSs) are becoming more prevalent in passenger vehicles on the road. These systems have been demonstrated to improve ride and handling performance of passenger vehicles. This project will provide a means to subjectively evaluate the performance of SASSs using a dynamic driving simulator. A controller model of a SASS will be created to predict the ride and handling of an FCA vehicle. The controller model will be connected to a full vehicle model and simulated in a real-time environment. This environment includes a dynamic driving simulator in which a physical person drives the vehicle over virtual roads. A method for FCA engineers to subjectively evaluate the virtual vehicle equipped with this SASS controller will be developed to evaluate the vehicle’s ride and handling performance. Upon completion, FCA will have a method for tuning its vehicles’ SASSs ride and handling while reducing the development time and costs.

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Faculty Supervisor:

Jennifer Johrendt;Nicola Amati

Student:

Zac Sinasac

Partner:

FCA Canada

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

University of Windsor

Program:

Assessing risky driving among Alberta teenagers: A developmental- and context-sensitive approach

Motor vehicle-involved accident is the leading cause of death among teenagers around the world. Death and injuries due to motor vehicle accidents among young drivers brings tremendous societal burden and economic cost to the Canadian society. To better address this major public health concern, better assessment tools are required to evaluate potential risky driving among teenagers and young adults for tailored intervention and insurance purpose. Impulsivity, sensation seeking, and emotion regulation are three individual characteristics that robustly and consistently predict adolescents’ and young adults’ involvement in risky behaviors. The assessment of these individual characteristics need to be sensitive to the daily context of adolescent and young adult development. This proposed research program aims to develop new measurement scales that are sensitive to both between- and within-person differences in these individual characteristics in adolescents and young adults, and assess their psychometric properties as well as predictability of long-term risky behaviors.

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Faculty Supervisor:

Yao Zheng

Student:

Michael Zhang

Partner:

AMA Insurance

Discipline:

Psychology

Sector:

Finance, insurance and business

University:

University of Alberta

Program:

Accelerate

Brainstem Arousal System and Chemosensitivity: Novel measures, Modulations, and Relationships to SUDEP

Sudden Unexpected Death in Epilepsy (SUDEP), the commonest cause of death in epilepsy, is the most feared complication. SUDEP usually occurs following a seizure, most often in patients who are non-responsive to antiepileptic drugs. These patients are typically found dead in bed following respiratory apnea and cardiac arrest. Our group has shown that seizures in the brainstem are associated with cardiorespiratory failure and death. It is not known whether the fatal brainstem seizures impair the brainstem arousal system or if seizure directly impairs brainstem cardio-respiratory centres. It is also not clear what the underlying mechanisms are which could indicate rational treat strategies to prevent this frightening complication. In this project, we aim to understand (1) whether the brainstem pH- sensitive neurons for hypercapnia in SUDEP model are impaired, (2) the roles of chemotransmitters in the cardiorespiratory and central brainstem chemoreceptor regions in seizure spread into the brainstem and in cardio-respiratory arrest, (3) If pH correction or other modulations in the brainstem cardiorespiratory regions can inhibit brainstem seizure occurrence and prevent death.

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Faculty Supervisor:

Peter Carlen

Student:

Azadeh Sabetghadam

Partner:

Novela Neurotech

Discipline:

Medicine

Sector:

Health care and social assistance

University:

University of Toronto

Program:

Elevate

Do socio-demographic and parenting factors moderate the impact of the HIPPY program on children’s school readiness?

The purpose of this project is to assess the impact of a home-based education program for preschool-aged children called the Home Instruction Program for Preschool Youngsters (HIPPY). This program aims to increase school readiness of children deemed educationally “at-risk” by reason of family poverty, parent education levels, family isolation, settlement issues, and/or English language skills. 13% of HIPPY participants are refugees, 70% are newcomers to Canada, and 12% are Indigenous. A data set on school readiness will be analyzed, as measured by The Bracken Basic Concept Scale (2006), a well-known standardized school readiness instrument. Bracken data were collected at two time points one year apart on 311 preschool children at 6 HIPPY sites across Canada, serving a diverse population of families. Analyses of the data will address change over time in children’s age-adjusted Bracken standard scores. Bracken scores will also be examined in relation to a variety of socio-demographic (e.g., child sex, immigration status, place of birth, and mothers’ English language competency) and parent (e.g., frequency of reading to child, engagement in HIPPY) factors.

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Faculty Supervisor:

Lucy Le Mare

Student:

Camilla Enns

Partner:

Mothers Matter Center

Discipline:

Education

Sector:

Education

University:

Simon Fraser University

Program:

Accelerate

Using a mobile application to support at-risk student re-entry into post-secondary education in the era of COVID-19

The aim of this 2-year project is to do research to inform the development of, and fully test and develop a mobile application designed to improve the experience of (particularly at-risk) post-secondary (PSE) students in addressing COVID-19-related issues. Our key concern is that COVID-19 has not only disrupted important and significant developmental experiences that improve student experience and success, but it has also caused challenges in students’ lives away from university that will spill over into their experience of being post-secondary students. We seek to address these disruptive factors via assessment of need and development of a mobile application which can link students with supports necessary to address those needs. A mobile application approach is particularly valuable in an era where social distancing will reduce the opportunity for face-to-face and in-person communication for at least the next 18-24 months.

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Faculty Supervisor:

Steven Smith;Yasushi Akiyama

Student:

Sai Kumar Nerella;Arun Raj Javagal Lakkashetty;Tanya Bilsbury

Partner:

Ipse Media

Discipline:

Computer science

Sector:

Education

University:

Saint Mary's University

Program:

Accelerate

Constructing an Integrated Platform that Maps Neighborhood COVID-19 Cases with Census and other Open Data

This project proposes to optimize a map-based web application, which integrates numerous Open Data sets with data on the number of daily cases of COVID-19 in each public health region in Ontario. The platform will be able to merge data from the province’s Integrated Public Health Information System (iPHIS) and offer real time information to government on possible local determinants of the growth in incidence of COVID-19 infections as well as what policies should be employed in arresting the spread of the disease. This will be driven by AI methods that are able to link COVID-19 cases with neighborhood characteristics such as age distribution, population density, occupational distribution, household income, commuting patterns, and density of retail businesses, as well with the presence of lockdown policies and corresponding levels of social mobility captured through Google data. The proposed platform has the potential to make significant policy contributions given the absence of a comparable market product and the current lack of understanding on how COVID-19 is spread within and across communities.The platform is especially relevant given the demand for data on local infections for hotspots and a need for understanding the impact of important determinants.

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Faculty Supervisor:

Anindya Sen

Student:

Gursimran Singh;Shahzeb Naveed

Partner:

Evantage Media

Discipline:

Other

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Innovating Technologies for Reducing Falls Risk in COVID-19 Healthcare Settings

One of the side effects of the COVI D-19 pandemic is that older people in institutional care tend to be more socially isolated and get less physical exercise. This is likely to increase falls risk both directly through reduced strength and balance because of insufficient exercise, and indirectly due to effects of depression leading to reduced awareness of obstacles and trip hazards in the environment. In this project we will test an innovative exercise technology (2RaceWithMe, developed by AGEWELL NCE researchers) to see if it can reduce falls risk in institutional care environments. 2RaceWithMe uses hand and foot exercise peddlers with onboard computers, engaging video courses and a large curved screen with videoconferencing (where people can cycle with each other either co-presently or remotely). Using standard measures of falls risk that are collected before, during and after the three month 2RaceWithMe intervention, we will measure the impact of 2RaceWithMe on falls risk.

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Faculty Supervisor:

Mark Chignell

Student:

Bella Yigong Zhang

Partner:

HIROC

Discipline:

Engineering - mechanical

Sector:

Finance, insurance and business

University:

University of Toronto

Program:

Accelerate

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