Innovative Projects Realized

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

29670 Completed Projects

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801
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663
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825
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8841
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568
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1088
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Projects by Category

Exploring sedentary behaviour and physical activity amongst prostate cancer survivors: An ecological momentary assessment study

This project will explore sedentary behaviour (the time a person spends sitting or reclining) and physical activity in prostate cancer survivors. More sedentary time and less physical activity have been linked with negative health outcomes for cancer survivors. However, research into sedentary behaviour has become an emerging priority. This project will utilize a novel method of intensively gathering survey data of participants five times a day over the course of a week while simultaneously gathering activity data. Gathering data in this way will allow us to assess trends in sedentary behaviour and physical activity and look at their
associations with contextual factors (activity, place, person) as well as treatment-related side effects such as stress and fatigue.
This project will provide us with a greater understanding of sedentary behaviour and physical activity in prostate cancer survivors and provide us with a basis for developing tailored interventions for this group.

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Faculty Supervisor:

Linda Trinh

Student:

Partner:

University of Leeds

Discipline:

Sociology

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

SLAM with Reinforcement Learning to aid mapping in highly dynamic scenes

This project aims to develop a reinforcement learning agent with access to depth cameras to aid map building for SLAM. Research has shown dynamic environments, where the majority of frame is taken up by dynamic objects, along with low fidelity and lighting can lead to low robustness in practical application. We hope to use reinforcement learning as a motion planner to explore the environment to better enable static landmark detection and dynamic landmark filtering. This work will first validate the hypothesis through simulation. More specifically using the Unreal Engine with AirSim and a pre-modeled physical quadrotor and flight controller. This simulation will explore how reinforcement learning can be used to navigate through a prior unknown environment to aid dynamic-SLAM to detect static landmarks. Then a real-world experiment will be setup within the drone arena along with dynamic objects to evaluate the robustness in the real world. We will be building upon previous work that has been done within simulation (https://www.youtube.com/watch?v=LL5iKaSM2VQ) along with using a quadrotor that has already been built within the lab (https://www.youtube.com/watch?v=bmtHIAjggP8).

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Faculty Supervisor:

Sajad Saeedi

Student:

Partner:

University of Bath

Discipline:

Computer science

Sector:

Artificial Intelligence; Technology; Transportation (excluding aerospace)

University:

Toronto Metropolitan University

Program:

Globalink Research Award

Nanomaterial interactions with soil microbial communities and soil fauna

Conventional agriculture needs large inputs of nutrients, through the addition of fertiliser, in order to produce the amount of food needed globally to sustain the population. Typical fertilisers are hugely wasteful, polluting the atmosphere and waterways, and affecting human health, wildlife, and ecosystem stability. Nanomaterials are very small particles that have potential to be used as fertilisers in order to improve nutrient use efficiency and reduce waste. This project will look at the interactions between a pre-selected range of nanomaterials and soil microbes, specifically looking at how polluting gases released from soils differ, how microbial activity changes, and how nutrients are stored in the soil differently. The project will also look at the effects of the nanomaterials on earthworms in order to look at any potentially toxic effects the nanomaterials may have. The research project will develop collaboration between McGill and Birmingham and hopefully lead to joint publications.

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Faculty Supervisor:

Cynthia Kallenbach

Student:

Partner:

University of Birmingham

Discipline:

Life Sciences

Sector:

Agriculture and Food; Environmental Science and Technology; Sustainability & the Environment

University:

McGill University

Program:

Globalink Research Award

Neural and behavioural patterns of avoidance; an fMRI analysis and online study approach.

Depression is a mood disorder that is often resistant to treatment – in part because there are distinct subtypes of depression. For more effective treatment, we need to better understand patterns of behaviour that characterize subtypes as well as underlying patterns of brain activity and chemistry. One pattern of behaviour that has been under-investigated in depression, but is well-characterized neurobiologically, is avoidance. Studies in rats have demonstrated distinct brain circuits underlying specific types of avoidance behaviours. These circuits act in distinct ways in avoidance relative to reward-seeking behaviours. This research suggests that humans showing different patterns of avoidance would show different patterns of brain activity, and may therefore benefit from different types of treatment. The overarching aim of this project is to analyse brain imaging data (fMRI) that has been recorded from several human participants whilst they completed a newly developed experimental task that measures subtypes of avoidance and reward seeking. Additionally, an online study will be conducted to understand whether someone’s mood at the time of completing this novel experimental task affects their performance. It is anticipated that these results will help clarify the role avoidance plays in depression, and ultimately help guide treatment selection in the future.

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Faculty Supervisor:

Rebecca Todd

Student:

Partner:

University of Bristol

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

The University of British Columbia

Program:

Globalink Research Award

An Investigation into Coupling a Stochastic Approximation with an Exotic Sampler

Algorithms that learn and sample from probability distributions form an important part of machine learning, AI, and the natural sciences. One needn’t look far to find such algorithms at the bleeding edge of methodology, and in everyday scientific pursuit.
The Wang-Landau algorithm is an example. It combines a sampling step with a learning step, to learn a probability distribution about which our knowledge is limited. The probability distribution may be over physical states, so an efficiently running algorithm would allow the simulation of the dynamics of protein folding, for instance. The learning step incorporates information gained from the sampling step, forming a more complete picture of the distribution. The particular form of the learning step is foundational in many neural networks and is called stochastic approximation. Due to our incomplete knowledge of the distribution, we cannot apply standard sampling methods. We therefore need to employ a more exotic sampler.
Coupling exotic samplers alongside stochastic approximation is underexplored, and potentially fruitful. We will try to assess the theoretical behaviour of such a coupling, an assessment not yet existing in the literature.

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Faculty Supervisor:

Florian Maire

Student:

Partner:

University College London

Discipline:

Mathematics

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

The Impact of Intervention on Struggling Adolescents’ Understanding of Self-in-Relationships

This project will be completed in partnership with Pine River Institute, a residential and wilderness treatment centre in Ontario for youths aged 13 – 19. I plan to investigate if/how Pine River Institute is able to help substance-addicted youth achieve the core developmental tasks of adolescence, including developing a healthy sense of self and healthy relationships with others. I am interested in the mechanism of change; that is, what is it about the program that helps accelerate development in the key areas of self and relationships. I hypothesis that each youth’s relationships with staff and peers at Pine River may help them develop their sense of self and learn skills for healthy relationships that can be applied to relationships at home. To complete this study, I will be interviewing a total of ten youth from different stages of the program. These interviews will be transcribed and qualitatively analyzed using Thematic Analysis. This work will be presented to the staff at Pine River as well as through conferences and publications to add to the growing understanding of how residential and wilderness therapy may contribute to adolescent development.

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Faculty Supervisor:

Debra Pepler

Student:

Partner:

Pine River Institute

Discipline:

Sociology

Sector:

Education; Public Service, Policy, and Governance

University:

York University

Program:

Accelerate

New Phosphorus- and Boron-Containing Allene Analogues for Small Molecule Activation and Catalysis

This project will develop new abundant-element systems for catalytically relevant chemistry. It will establish phosphorus/boron containing alternatives of a key class of compounds called allenes. The development of abundant-element chemistry, capable of the powerful synthetic transformations, traditionally enabled by precious metals, is key to reducing environmental damage and meeting the global economy requirements. This placement aims to overcome a central disadvantage of main-group element containing systems compared to precious metal ones: their limited coordination sites for chemical activation. This will be achieved by the synthesis of phosphorus/boron containing allenes which will be used for the chemical activation of small molecules such as hydrogen and carbon monoxide. This will provide fundamental knowledge required for further advances in metal-free catalysis and establish a new collaboration between two of the top main-group chemistry researchers leading the Stephan group at the University of Toronto and the Cowley group at the University of Edinburgh.

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Faculty Supervisor:

Douglas Stephan

Student:

Partner:

University of Edinburgh

Discipline:

Physics

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

A 3D agent-based model for simulating urban redevelopment at the building scale

This project will explore how Toronto’s planning regulations, real estate market and urban form influence the feasibility of urban redevelopment within the city. The expected results will contribute to society and industry through the creation of 3D spatial decision support system as one of the key deliverables. This tool will help inform stakeholders of the viability of current urban regulation policies, provide insight into the most suitable locations for future urban redevelopment projects and help improve overall city management. In addition, the implementation of 3D visualisation is beneficial for urban planners to understand and interpret how vertical height limitations can impact the opportunity of redevelopment. Overall, the approach of this project will highlight how agent-based models are an invaluable tool to address the Canadian real estate crisis and can contribute to urban redevelopment initiatives to ensure a more functional city.

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Faculty Supervisor:

Raja Sengupta

Student:

Partner:

Newcastle University

Discipline:

Engineering

Sector:

Artificial Intelligence

University:

McGill University

Program:

Globalink Research Award

New Technologies for Selective CO2 Reduction

This project plans to investigate the synthesis and reactivity of new iron-based compounds for the conversion of carbon dioxide to methanol. These compounds aim to use cheaper, more earth abundant materials and exhibit greater efficiency than current literature examples. During this research project, all compounds will be fully identified with a range of analytical techniques to deduce structure. In addition, compounds will be investigated for their reactivity with carbon dioxide and routes determined to selectively convert carbon dioxide to methanol, which can be used as an alternative fuel source. All steps along this route will be monitored to help understand the mechanism of carbon dioxide conversion.

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Faculty Supervisor:

Marcus Drover

Student:

Partner:

Imperial College London

Discipline:

Physics

Sector:

Education

University:

University of Windsor

Program:

Globalink Research Award

Maternal disability and newborn discharge to child protective services (CPS): A mixed-methods study

As many as one in 8 pregnancies are to women with disabilities, including physical, sensory, and developmental disabilities. These women often face negative attitudes and assumptions by others about their parenting abilities and are at risk of Child Protective Service (CPS) involvement. This project aims to characterize CPS involvement experienced by women with disabilities in pregnancy and shortly after delivery. The project will use routinely collected administrative health data to estimate the risks of newborn discharge to CPS among mothers with versus without disabilities. Previously collected interview data with mothers with disabilities will also be analysed to understand how CPS involvement in pregnancy and shortly after delivery impacts their experiences of perinatal health care. Many mother-infant separations are preventable through targeted and timely intervention. This study will generate data to inform accessible, tailored services and supports for mothers with disabilities at risk of CPS involvement in the perinatal period.

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Faculty Supervisor:

Hilary Brown

Student:

Partner:

University College London

Discipline:

Life Sciences

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Electric Machine for Landing Phase Kinetic Energy Recovery of Commercial Aircraft

The pollution from aircraft is expected to be seven to ten times higher in 2050 compared to 1990 level. To address the issue, a kinetic energy recovery system fitted onboard commercial aircraft is proposed. The system is widely used in automotive industry but has never been proposed for aerospace applications. Electric machines are a limiting factor because they have low power output relative to weight. This research project will be a part of the wider study and will focus on development of electric machine beyond current technological limits and therefore will allow to meet the aerospace application requirements at a minimum weight penalty. The expected exchange outcome is a finalized electric machine topology selection and optimization. In addition, the network developed throughout the exchange would be a beginning of long-term collaboration focused on electric machines for aerospace applications, which would benefit both, the UK and Canada.

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Faculty Supervisor:

David Lowther

Student:

Partner:

Cranfield University

Discipline:

Engineering

Sector:

Aerospace; Green/Alternative Energy

University:

McGill University

Program:

Globalink Research Award

Imperial Visions of the Built Environment in William McFarlane Notman’s Royal Tour Photographs, 1901

My project proposes to analyze representations of the built environment in William McFarlane Notman’s photographs of the Royal Tour of Canada in 1901. Held at the McCord Museum in Montreal, the photographs picture the tour taken by the Duke and Duchess of Cornwall and York (later King George V and Queen Mary) across Canada on the newly built Canadian Pacific Railway, from Quebec City to Halifax. The photographs raise important questions about the exclusion of Indigenous communities from the camera view in the early twentieth century, and the visual presentation of settler colonial towns and cities in this period. The project outcomes are to provide insights into an as yet unresearched part of the Notman collections, resulting in an academic paper, public talk, blog post and public engagement activities with the McCord Museum. More widely, my research will expand scholarship on colonial photographic histories of Canada and provide new approaches to decolonizing archives within the museum.

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Faculty Supervisor:

Gloria Bell

Student:

Partner:

Cardiff University

Discipline:

Sociology

Sector:

Indigenous Affairs; Education; Other

University:

McGill University

Program:

Globalink Research Award

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