Innovative Projects Realized

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

30156 Completed Projects

2861
AB
5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projects by Category

RESOLUTION: Resilient Systems for Land Use Transportation

The “RESOLUTION: Resilient Systems for Land Use Transportation” is an ongoing project that focuses on the ways in which the impact of transportation infrastructure in terms of operation and provision leads to social and spatial segregation across major metropolitan regions across the World. My job would be to collaborate with Federal University of ABC to investigate the similarities and differences of segregation patterns between Toronto and São Paulo. Using the data from one city to probe another will be an effective strategy to gain insight, develop solutions and forecast issues for both cities. The findings from this comparative study will be relevant to decision makers and policy analysts in municipal government. I believe that this program hold’s incredible potential for experiential learning that will not only benefit my ability to advance as a research practitioner in my field of study but also in becoming a more inter-culturally competent person.

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Faculty Supervisor:

Lawrence Altrows

Student:

Partner:

Universidade Federal do ABC

Discipline:

Sociology

Sector:

Education

University:

Toronto Metropolitan University

Program:

Globalink Research Award

Catalytic effect of nano-NiO particles in Pyrolysing of Biomass materials

Biomass materials have been a source of energy for years to now and their effective conversion into usable energy form is always under research to get improved results. Various techniques and systems have been developed to exploit different biomass materials so far and this research aims to study the effect of nano NiO particles as catalyst in pyrolysing of agro residues such as rice husk, saw dust, and groundnut shell, etc. The catalyst will be prepared and employed in different size to observe the effect of particle size in pyrolysis and the operating conditions of the test will also be varied to know their effect. Different approaches such as TGA, FTIR, and XRD will be used to characterize the precursors and nano-NiO particles. The experimental results will be correlated with theoretical and kinetic modeling to find the activation energy and conclude the results.

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Faculty Supervisor:

Bishnu Acharya

Student:

Partner:

Periyar Maniammai University

Discipline:

Engineering

Sector:

University:

University of Prince Edward Island

Program:

Globalink Research Award

Mobile Remote Implicit Communication

What would it mean to have a background, visceral sense of a partner on an ongoing basis, as we moved throughout our day? How would it change our behaviour and how might it assist us? The SenseProxy application at the core of my Ph.D. research seeks to answer these questions. By joining Prof. Jessica Cauchard’s lab at IDC Herzliya, Israel for at least 12 weeks, I would be able to carry out user experiments in a culture distinct from that of Canada, as well as incorporate additional biometrics such as breathing rate, which are currently being explored in her lab. Expected outcomes include publishing the results, incorporating the experiment into my Ph.D. thesis, and establishing an ongoing collaboration between our two labs on this and related projects.

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Faculty Supervisor:

Jeremy Cooperstock

Student:

Partner:

IDC Herzliya

Discipline:

Engineering

Sector:

University:

McGill University

Program:

Globalink Research Award

Martial Art Destination Training Camps as Racial, Classed and Gendered Sporting Projects: A Global Comparative Study

In my proposed PhD project I will interrogate privilege at the nexus of sport, tourism and issues surrounding race, class and gender. There is a new trend emerging in sporting tourism: martial art training camps abroad. Martial art training camps are now established in the places of origin of certain martial arts such as Brazilian Jiu Jitsu in Brazil, Judo in Japan and Muay Thai in Thailand. Regardless of the martial art being studied, all these training camps use similar discourses to sell their services such as invoking discourses and rhetorics of ‘authenticity’, commoditizing race and advertising comfort. TO BE CONT’D

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Faculty Supervisor:

Caroline Fusco

Student:

Partner:

Universidade Federal do Rio de Janeiro

Discipline:

Sociology

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Hydrogel resonators integrated with piezoresistors

Various hydrogel membrane resonators will be fabricated with hydrogels exhibiting different molecular weights and structures along with varying concentrations of the photoinitiator and ultraviolet doses. Then, resonance sensitivity of fabricated hydrogel membranes will be investigated with optical and electrical readout techniques. Using the dynamic mask, various hydrogel membrane resonators with different sizes and shapes will be rapidly fabricated and their sensitivities will be investigated. Once an optimum design is found, the design will be efficiently mass-produced. Initially, gold piezoresistors will be introduced into the hydrogel membrane resonators to read out their resonance signals. Then various 2D materials which show piezoresistivity will be explored and implemented into our hydrogel membrane resonators. Using the hydrogel membrane resonators which are mechanically and electrically optimized, various gas/vapour sensing experiments could be performed in the future.

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Faculty Supervisor:

Seonghwan Kim

Student:

Partner:

Sogang University

Discipline:

Engineering

Sector:

University:

University of Calgary

Program:

Globalink Research Award

High-throughput phenotyping of plant health using machine learning and computer vision

Phenotyping is used to develop new strains of plants, understand plant-affecting diseases (phytopathology) and evaluate the effects of various substances on plants. A growing variety of sensors and sensor technology is used to gather data used for phenotyping, in a non-destructive manner, and this overall process of data acquisition and analysis is being automated, leading to high-throughput phenotyping. These technological changes pose challenges both in terms of which models to apply to these heterogeneous data, as well as the scalability of the data and analytics pipeline. The proposed project aims to develop a deep learning model that would produce estimates of plant health based on imaging and other sensor data generated by Terramera, with high classification accuracy, according to threshold tolerances defined by Terramera plant physiologists. TO BE CONT’D

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Faculty Supervisor:

Ghassan Hamarneh

Student:

Partner:

Terramera Inc

Discipline:

Computer science

Sector:

Agriculture; Manufacturing; Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Investigation of a Hybrid Cascaded Modular Multilevel Converter

A high-voltage, direct current (HVDC) transmission system provides an efficient, reliable, economical and environment-friendly solution to interconnect between different power systems. HVDC permits electric power to be distributed to remote areas, which benefits the community with economic electricity usage and the government with extra financial revenues. This proposed project aims to investigate novel methods to further improve the efficiency of the HVDC transmission systems. The proposed partner organizations, HVDC Research Center and Manitoba Hydro, are world-renowned companies specializing in the HVDC transmission solution and power system planning. By combining the research facilities/experiences of both the University of Manitoba and the HVDC center, this project will provide novel techniques to further improve the HVDC transmission system and consequently make contributions to Canada’s stance a world-leader in energy.

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Faculty Supervisor:

Shaahin Filizadeh

Student:

Partner:

Manitoba HVDC Research Center;Manitoba Hydro

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

Overshoot Voltage Mitigation in the Long-Cable Fed Induction Motor Drives using Modular Multilevel Converters (MMCs)

A major part of the generated electrical energy in the power systems is consumed by the electric machines to support the required mechanical energy for the clients in various applications such as pumps, oil and gas, household, electric vehicles, etc. In large scales, higher efficiency, reliability, and life time of the employed electric machines in the network results in less burnt fossil fuel in the generation stations. Accordingly, a lower amount of carbon dioxide emission is predicted in this case and less health problems related to the greenhouse gases emissions are expected. In this research, a novel advantage of using new converter topologies in power systems to make the electric machines to be more efficient and live longer is developed and presented.

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Faculty Supervisor:

Shaahin Filizadeh

Student:

Partner:

Manitoba Hydro

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

University of Manitoba

Program:

Accelerate

Encapsulation of cells in a biocompatible hydrogel to relieve pain following intervertebral disc degeneration

Intravertebral disc degeneration is a common debilitating condition for which there is no cure and leads to back pain and disability. In order to provide sustained pain relief, research is investigating the use of local cell transplantation into the disc. However, many current cell delivery strategies suffer from low cell retention and survival following injection into the tissue. To address this, our lab has developed an injectable, biocompatible hydrogel (HAMC) that cells can be mixed into and then injected through a small-gauge needle. We have previously demonstrated efficacy of this system in models of spinal cord injury, stroke, and retinal degeneration. First, we will combine cells with HAMC on the benchtop and test the ability to load cells into the syringe and cell survival following injection, and the optimal HAMC formulation will be determined. TO BE CONT’D

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Faculty Supervisor:

Molly Shoichet

Student:

Partner:

CHA University

Discipline:

Life Sciences

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Design Optimization of Binary Phase Pupil Filters

Today, optical imaging technologies are used extensively for a wide range of advanced medical imaging, diagnostics, and therapeutics applications. While current state-of-the-art pupil engineering has examined diverse mask types to enhance these imaging capabilities, binary phase masks (BPMs) have been suggested as the superior filter for achieving enhanced axial and transverse beam properties, offering the best balance between depth-of-focus (DoF) and resolution. In collaboration with the Biomedical Optics and Instrumentation Laboratory at Yonsei University (Korea) and the Structural and Multidisciplinary Systems Design Lab at Queen’s University (Canada), this research will apply topology optimization for binary phase mask design, utilizing the unique expertise offered by both institutes to create novel filter concepts. TO BE CONT’D.

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Faculty Supervisor:

Il Yong Kim

Student:

Partner:

Yonsei University

Discipline:

Engineering

Sector:

Education

University:

Queen's University

Program:

Globalink Research Award

One Nation, One Face: A Critical Exploration of Sociality and Cultural Oppression in the South Korean Plastic Surgery Phenomenon

Combining semi-structured interviews of plastic surgery doctors and individuals interested in plastic surgery as well as content analyses of magazine and newspaper articles on plastic surgery, this research aims to inductively examine the intersubjective production of meaning among South Korean individuals in the context of the nation’s massive plastic surgery trend. To this end, this research will flesh out the values, norms, and logics invested in plastic surgery, the actors and processes that shape and maintain these standards, and their implications for social life. Expected results point to how powerful social norms and media representations dictate standards of beauty and worth in ways that oppress individuals. Furthermore, the growing commonness and capabilities of plastic surgery embody cultural logics that transform how the self, others, and relationships are interpreted altogether in broader social life. This ultimately reorganizes the social bases, structures, and contexts of interaction around materialistic pursuits and conforming one’s identity.

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Faculty Supervisor:

Josee Johnson

Student:

Partner:

Yonsei University

Discipline:

Sociology

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Apply Deep Neural Network to Detect Malignant Lung Nodules in CT Scans

Lung cancer has a poor prognosis and a high incidence in low resource settings. Early detection of malignant nodules can enable prompt intervention and improve treatment outcomes. Despite the recognized benefits of early nodule detection, it is clinically and computational challenging. Convolutional neural network (CNN) is a type of machine learning that has been applied to analyzing visual images, and has received increasing interest in facilitating image recognition in medical field. The study will apply CNN to pre-labeled low dosage computed tomography (CT) scans collected in Zhongshan Hospital (Shanghai) to differentiate malignant nodules from benign nodules. A training set will be used to train the model first, followed by fine-tuning the model to increase the diagnosis accuracy and sensitivity. A set number of CT scans will be used as the test set to examine the accuracy rate.

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Faculty Supervisor:

Tillie-Louise Hackett

Student:

Partner:

Fudan University

Discipline:

Life Sciences

Sector:

Education

University:

The University of British Columbia

Program:

Globalink Research Award

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