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

The Transnational Flow of Women, Sounds, and Activism: Women Making Music in and Between Brazil and Canada

This project examines the relationship between female musicians in music scenes in Toronto and in the cities of Salvador and Recife in Brazil. Female performers from Brazil and other Latin American countries, as well as Canadian-born female musicians make up the majority and the backbone of the Brazilian music scene in Toronto. As these performers move between Brazil and Canada, so do they bring with them both musical practices and worldviews that have in turn shaped their local contexts. Recently, many of these female musicians have begun to organize all-female groups and events and use the performance of various Brazilian musical traditions to make political statements addressing the status of women. Under the auspices of the Mitacs Globalink Research Award, I intend to examine the connections between this woman-identified scene in Toronto and its roots in Brazil, and elucidate the role of music and transnational migration in the development of group identification.

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Faculty Supervisor:

Jeff Packman

Student:

Amy Katherine Medvick

Partner:

Discipline:

Music

Sector:

University:

University of Toronto

Program:

Globalink

Artificial Cognition about Unmanned Autonomous Vehicle

My research topic is on the driver behaviors prediction for Unmanned Autonomous Vehicle (UAV) in the complex driving environment. The driver behaviors include lane changing, car following, acceleration, deceleration, etc. The work in this project will focus on establishing two
models about lane changing prediction in the high way and the driver behavior prediction in the intersection based on Artificial Intelligence (AI) algorithms. Therefore, the UAV can make corresponding adjustments to prevent the possible dangerous situation. The expected
outcomes will be two advanced models for UAV to predict behaviors ahead, which will help UAV to drive intelligently and safely.

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Faculty Supervisor:

Fengjun Yan

Student:

Yangliu Dou

Partner:

Discipline:

Engineering - mechanical

Sector:

University:

McMaster University

Program:

Globalink

Battery Management System for Lithium-Ion Batteries in Electric Vehicles

Measurement of the SOC is one of the basic functions of BMS for lithium-ion batteries pack in EVs. It is equivalent to fuel gauge in conventional vehicles which will indicate the miles cars can still run and when they should be charged. So the accurate SOC is needed to estimate to prolong the lifetime and to improve performance of the battery pack. The validated SOC estimation strategy may be calibrated by the experimental data from this project. Also, the cell balancing strategy is needed to prevent the battery pack from overcharge or over-discharged which I can get the basic knowledge about it through this project.

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Faculty Supervisor:

Fengjun Yan

Student:

Jiangtao HE

Partner:

Discipline:

Engineering - mechanical

Sector:

University:

McMaster University

Program:

Globalink

3D Modeling of The Pancreas For Use in Preoperative Surgical Planning and Rehearsal

The graduate student (Simon Byrns) will work closely with pancreas surgeons and experts in computer image manipulation to generate 3D models of the relevant anatomy in pancreas surgery. These models will then be printed on a 3D printer and used to investigate their utility in the preoperative planning phase prior to surgery. The use of augmented reality (superimposing computer generated images on live images) to enhance the visualization of internal structures within the 3D models will also be investigated.

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Faculty Supervisor:

Bin Zheng

Student:

Simon Byrns

Partner:

Discipline:

Dentistry

Sector:

University:

University of Alberta

Program:

Globalink

Advanced combustion mode control for modern engines

Internal combustion (IC) engines are widely used in the world and in the following decades, it will remain the major source of transportation power. However, the emissions of IC engines, are demonstrated have negative impact on the human health as well as the whole environment. Hence, stringent emission norms are continuously imposed on IC engines. This project focuses on reducing the emissions and increasing efficiency simultaneously by applying advanced combustion modes. The estimation and control methods regarding the advance combustion mode will be designed and validated through experimental study and test, which will lay solid foundation for further research.

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Faculty Supervisor:

Fengjun Yan

Student:

Song Chen

Partner:

Discipline:

Engineering - mechanical

Sector:

University:

McMaster University

Program:

Globalink

Hyperspectral image analysis of skin erythema after radiation therapy

Acute skin erythema is a common side effect with patients undergoing radiotherapy treatment. It displays itself as an increase in skin redness and irritation. Erythema has been reported to correlate to individual patient response to radiation and therefore may be useful to guide and modify courses of treatment in a timely manner. Currently, upon visual examination, a qualitative score can be assigned to characterize the severity of erythema, which then may be used for assessing radiation response. As this clinical assessment is not a quantitative measure and in fact is a highly subjective one, we aim to develop an alternative objective measure to accurately quantify skin erythema. This project is aimed to use data from a new hyperspectral imaging technology developed at McMaster University in Canada and to propose relevant image analysis algorithms that can precisely quantify skin erythema and objectively correlate this phenomenon to
radiation response.

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Faculty Supervisor:

Mark Drew

Student:

Ali Madooei

Partner:

Discipline:

Computer science

Sector:

University:

Simon Fraser University

Program:

Globalink

An analysis of aural and visual cross-modal recognition of paths of moving sources for authoring and editing trajectories in 3D audio composition and production.

Current advanced audio playback systems can provide a feeling of 3D immersion to listeners. Though the technology to listen to 3D audio can provide a good listening experience, the technology used to create 3D audio content has not adapted to those advances. One major reason is due to human aural localization ability that is not as accurate as the visual localization ability, making it difficult for users to create a 3D experience because common authoring tools use visualizations to interact with. The proposed research project is to study how the 3D audio systems affect listeners’ ability to track moving sounds by examining the association of visual representations to different paths of moving sounds. We expect to have measurable discrepancies between the visual representation and the path of the moving sound in our findings that will be used to design and evaluate new input methods for creating 3D audio content.

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Faculty Supervisor:

Catherine Guastavino

Student:

Justin Dan Mathew

Partner:

Discipline:

Computer science

Sector:

University:

McGill University

Program:

Globalink

Pediatric brain atlas for segmentation of sub-cortical structures in MRI of children with benign epilepsy with centrotemporal spikes

In Canada, Epilepsy affects approximately 3 to 6 children per 1000 aged from 0 to 15 years in the overall population. Fifteen to 25% of these children have benign epilepsy with centrotemporal spikes (BECTS), making BECTS the most common benign childhood focal epileptic syndrome. Studies have found cognitive and behavioral deficits, which may well persist even after remission. Given neurocognitive differences among children with BECTS and normal controls, subtle morphometric variations in brain structures are also present in these patients. In this respect, proposing advanced neuroimaging methods, which would allow for quantitative assessment of variations in brain morphology could lead to accurate detection of the pathology. In this research project, we aim to automatically detect the neuroanatomic variations related to BECTS in children by segmenting sub-cortical structures and analyzing these structures for morphological differences. This project will develop, an MRI pediatric brain atlas to accurately segment structures in the basal ganglia. From a clinical perspective, the proposed method can contribute to the diagnosis of BECTS in children, and use as a complementary technique to EEG for identifying epilepsy.

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Faculty Supervisor:

Samuel Kadoury

Student:

Mahsa Shakeri

Partner:

Discipline:

Computer science

Sector:

University:

Program:

Globalink

Negotiating in the Shadows

The research will examine the way in which marginalized communities are able to negotiate access to essential conditions of life such as water and housing. Infrastructure development and consumption patterns have failed to adapt to rapid economic growth and urban expansion. This has created an inequitable rift between social groups, with marginalized groups such as migrant and informal workers having more difficult access to essential services. The research will provide policymakers with a portrait of the social and life conditions of marginalized and migrant workers with the objective of creating policy to address the widening gaps between economic groups.

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Faculty Supervisor:

Lisa Drummond

Student:

Jonathan De Luca

Partner:

Discipline:

Environmental sciences

Sector:

University:

York University

Program:

Globalink

Deep Learning for Action Recognition, Localization and Parsing

The goal of this project is to develop algorithms that allow machines to understand and describe actions in video. For example, we would like computers to be able to classify videos according to the actions taking place inside them , and annotate the videos according to where and when the actions take place. To tackle this problem, the student will pursue a strategy of designing and training a deep neural network, loosely inspired by the neural networks in the human brain. Deep neural networks already outperform humans on certain aspects of image understanding; the current project aims to extend this success to the domain of video understanding. Apart from the inherent scientific
interest this problem, addressing it will serve a variety of important real world applications, such as video retrieval, security and surveillance, and human-computer interaction. The work from this project will be submitted to a top-tier computer vision conference.

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Faculty Supervisor:

Kosta Derpanis

Student:

Adam Harley

Partner:

Discipline:

Computer science

Sector:

University:

Ryerson University

Program:

Globalink

Dynamic Modelling of Be Stars Disks

The proposed project is to create dynamic models of a Be Star Disk using the SINGLEBE code. This project will be the next paper in the series of papers titled; The Dynamical Evolution of Be Star Disks around Be Stars part I and III by Haubois and Carciofi et al. This series of papers are important because they examine the general predictions of dynamically active Viscous Decretion Disks (VDD) models and how they compare qualitatively with observations. The 3rd paper in this series will be done by Leandro Rimulo, a PhD student of Dr. Carciofi. This paper will examine how variation in emission lines and magnitude correlate to the emission lines and the photometric colors of a Be Star, by analysing the line profile evolution of VDD disk. I will be responsible for the computation and organization of the models, as well as, the compilation of the set of the representative observations to compare with the models. This research project is extremely unique as no one has produced work that focuses on the type of temporal spectroscopic variability expected in a VDD model.

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Faculty Supervisor:

Carol Jones

Student:

Naciza Masikini

Partner:

Discipline:

Physics / Astronomy

Sector:

University:

Western University

Program:

Globalink

The ‘Benevolent Hand’ of the Turkish State: Housing Development Agency (TOKI)), State Restructuring and Capital Accumulation in Turkey

As it is accepted in both international organizations and nation states, housing for the urban poor is an urgent issue which cannot be left exclusively to market mechanisms. It is accepted that nation states have primary duties towards providing affordable houses for the lower income groups. This project reveals the changing role and structure of the state toward housing policies for urban poor with reference to shifts in development strategies in the Turkish context. There is lack of knowledge of the particular role played by the state in affordable housing market under development strategies. My research aims to fill this gap by
proposing historical and state-centered approach. Additionally, although Turkish state attempts to solve housing problem, at least in the discursive level, it creates a widespread social discontent in the big cities. From a bottom-up perspective, my project aims to articulate possible democratic ways to participation by squatter dwellers into the urban regeneration projects. That is, the research will make local people who are affected by urban regeneration projects and their demands visible which is crucial for ensuring social justice in public housing management.

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Faculty Supervisor:

Greg Albo

Student:

Havva Ezgi Dogru

Partner:

Discipline:

Political science

Sector:

University:

York University

Program:

Globalink

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