Innovative Projects Realized

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

30156 Completed Projects

2861
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5059
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812
MB
673
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842
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8957
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9368
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96
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579
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1120
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Projects by Category

Development of a Lower Limb Neuroprosthesis

Millions of people worldwide suffer from motor impairment due to aging and/or neurological injuries, such as stroke. It has previously been demonstrated that functional electrical stimulation (FES) can be used to artificially contract lower limb muscles to improve independent standing of individuals with neurological impairments. A system that applies FES to regulate balance is called a neuroprosthesis for standing. An intermittent control strategy, which switches between muscle stiffness and muscle activation has emerged as an effective control strategy for stabilizing standing and walking. This project intends to develop a novel neuroprosthesis for standing and walking function that will use FES to intermittently activate lower limb muscles. The objectives of the proposed study are: (1) to develop and test an intermittent controller system for FES of lower limbs; and (2) to integrate this control system into a lower limb exoskeleton, all with the aim of developing a practical system for the rehabilitation of standing and walking.

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Faculty Supervisor:

Albert Vette;Jacqueline Hebert

Student:

Partner:

Osaka University

Discipline:

Engineering

Sector:

Education

University:

University of Alberta

Program:

Globalink Research Award

Passive Network Synthesis Approach for Modeling Multiport Frequency Dependent Network Equivalents

In this research, a new approach to model Frequency Dependant Network Equivalent (FDNE) will be introduced and implemented in PSCAD/EMTDC. FDNEs are used to accelerate and reduce the size of unnecessary part of the network under simulation. The new approach utilizes Brune’s network synthesis and Tellegen’s extension to create a multiport network whose impedance is the same as the given FDNE. Unlike other fitting methods, the proposed method inherently guarantees the passivity of the fitted network, thus no need for further passivity enforcement. The results of this study will provide a new module in PSCAD/EMTDC. It can be used for modeling the FDNEs which conventional methods can not guarantee a passive fitting. So, ultimately will enhance this part of the PSCAD library.

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Faculty Supervisor:

Aniruddha Gole;Aniruddha (Ani) Gole

Student:

Partner:

Manitoba Hydro International Ltd

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

University of Manitoba

Program:

Accelerate

Development and validation of a semi-automated in-situ soil sensor using Vis-NIR spectroscopy

Soil health and fertility has important long-term implications on farming practices. However, farmers and agronomists have difficulties to integrate soil assessment into farming decisions, mainly due to the tedious and long soil sampling process. This project aims at providing an innovative tool for agronomists and farmers to determine instantaneously and accurately several soil characteristics such as the soil acidity and temperature, as well as the content of nutrient and organic matter in the soil. The proposed soil probe will be attached on a small vehicle, allowing the semi-automated acquisition of soil data over large areas. This solution would enable the agronomists and farmers to easily assess the soil health and fertility and integrate this information into daily farming decisions.

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Faculty Supervisor:

Yves Comeau;Viacheslav Adamchuk;Michel Labrecque

Student:

Partner:

ChrysaLabs

Discipline:

Earth science

Sector:

Manufacturing

University:

École Polytechnique de Montréal; McGill University

Program:

Accelerate

Development of Electroactive Multiffunctional Fiber

Our overall goal is to develop multi-functional electro-active yarns that can be knitted/woven to create a garment with embedded dry-textile electrodes (e-textiles). This garment will be used, for fully sensing human electrophysiological signals as well as stimulating specific muscles of the human body using textile-based wearable technology. These multi-functional fibers are going to be manufactured using functional polymers through melt-spinning and/or coating processes. This involves many factors such as functional polymers development which are extrudeable and manufacturing yarns that are knittable/weaveable. The knitted/woven sensors need to be flexible, washable and wearable. At the same time, e-textiles must be able to perform and function accurately and effectively. These polymers and extruded fibers will be characterized by various mechanical, thermal, electrical and microscopic techniques. This platform targets sensing and processing specific electrophysiological signals, namely, Electrocardiography (ECG), Electromyography (EMG) and Electroencephalography (EEG), as well as stimulating the body using electrical signals. Furthermore, the proposed platform creates a multipurpose sensing-processing-stimulating garment-based system.

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Faculty Supervisor:

Hani Naguib

Student:

Partner:

Tokyo Institute of Technology

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Crowding and Dwell Time on Transit Vehicles: A Fine-Grained Analysis

This project will examine the relationship between transit vehicle crowding and the time it takes for passengers to board and exit the vehicle (dwell time). It will also record the total maximum number of passengers on a transit vehicle and compare them to the manufacturers’ theoretical maximum capacity. Data will be gathered through accurate counts of the number of people entering and exiting the vehicle as well as the time taken for these passenger movements. This data will be analyzed to determine the optimal level of crowding on buses and its impacts on dwell and running times. This information will allow TransLink to more efficiently plan service improvements. This data could also be used to justify reducing crowding based on the efficiency lost during longer dwells.

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Faculty Supervisor:

Ahmed El Geneidy

Student:

Partner:

TransLink

Discipline:

Sociology

Sector:

Transportation and warehousing

University:

McGill University

Program:

Accelerate

Insights into the creative workplace through 20 years of experience at Rethink Canada

Rethink is Canada’s largest, national independent creative agency. As Rethink enters their twentieth year, they would like to formally collect the tips, tools and wisdom — 20 years of knowledge and experience — and share it with a broader audience interested in the creative industries and the process of creativity in general. Working with a humanities scholar from Simon Fraser University, Rethink will write a book that is accessible to readers both within and outside of the creative industry. The proposed project will include existing research that bridges Rethink’s own strategies with findings from the humanities and the social sciences that demonstrates how Rethink’s tools have grounds outside of the company and the industry at large. The degree of success of the project will itself answer the broader research questions about the transferability of literary/theoretical methods to the creative workplace. The innovative way in which the content of the project book is created and shared will speak to many of the issues currently circulating in literary and media theory and will act as something of a digital culture test case for such academic-industry collaboration.

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Faculty Supervisor:

Paul Budra

Student:

Partner:

Rethink Communications (Vancouver)

Discipline:

Sociology

Sector:

Information and cultural industries

University:

Simon Fraser University

Program:

Accelerate

Climate change adaptation options and policies in Japanese forests and forest sector

Forests are increasingly vulnerable to climate change. Changes in temperatures and precipitation patterns could affect the composition, health and productivity of the forests and the values people derive from them. In response to these observed and anticipated changes, scientists and decision-makers are increasingly considering the use of strategies intended to increase the adaptability of forests to climate change. In Japan, climate change adaptation in forests has been identified as a priority by the government. However, while the vulnerability of Japanese forests to climate change is scientifically established and politically acknowledged, there is very limited research on possible adaptation options and policies. TO BE CONT’D

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Faculty Supervisor:

Shannon Hagerman;Robert Kozak

Student:

Partner:

Forest Research and Management Organization;Institute for Global Environmental Strategies

Discipline:

Sociology

Sector:

Education

University:

The University of British Columbia

Program:

Globalink Research Award

Dynamic Casual Modeling of Effective Connection in Brain Network Based on the Cloud Computing Platform

Since the Brainnetome Initiative and Human Brain Project began, a few efforts have been made to address the computational challenges of neuroscience Big Data. The promises of these two projects were to model the complex interaction of brain and behavior and to understand and diagnose brain diseases by collecting and analyzing large quantities of data. Archiving, analyzing, and sharing the growing neuroimaging datasets posed major challenges. New computational methods and technologies have emerged in the domain of Big Data but have not been fully adapted for use in neuroimaging. In this internship, I propose a new method to model the effective brain network connection which may help u to understanding the information processing capabilities of the brain. TO BE CONT’D

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Faculty Supervisor:

Alan Evans

Student:

Partner:

The University of Electronic Science and Technology of China

Discipline:

Life Sciences

Sector:

Education

University:

McGill University

Program:

Globalink Research Award

New Commons: Sustaining Rural Japanese Regionalisms through the Re-Inhabitation of Public Schools

I am a student in the Masters of Architecture at the University of Waterloo. My thesis focuses on the repurposing of buildings and the cultural connections architecture can have to its local communities, in the context of rural Japan. Through the Mitacs Globalink JSPS summer program, I plan to conduct the fieldwork of my thesis, interview with Japanese experts on the subject and access research resources unique to Japan. I plan to travel to Japan and visit three rural sites undergoing depopulation and, with the resulting research and documentation, propose an adaptive re-use project that will preserve cultural production and local economies. I will compile my fieldwork conducted in Japan and produce a document, in English and Japanese, that highlights cultures and traditions integral to my sites of interest that will later serve as an educational tool for communities and other architects. TO BE CONT’D

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Faculty Supervisor:

Jane Hutton

Student:

Partner:

The University of Tokyo

Discipline:

Sociology

Sector:

Education

University:

University of Waterloo

Program:

Globalink Research Award

Nanoparticle detection and filtering in bottle resonator

I propose to design a platform to detect and filter out particles on the order of 10 nanometers from a liquid in a dynamic environment. An optical cavity confines very large amounts of light is made by modifying a capillary optical fiber for which the light circulates around the outer edge. This large amount of stored light creates a large electric field inside the modified capillary. As a liquid containing nanoparticles is pumped through the capillary it will interact with the electric field which will shift in the wavelength of light entering the cavity. This light-nanoparticle interaction will also pull the nanoparticle towards the edge of the capillary,where the electric field is largest and will keep them at near the edge while the rest of the fluid passes through. TO BE CONT’D

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Faculty Supervisor:

Pablo Bianucci

Student:

Partner:

Okinawa Institute of Science and Technology

Discipline:

Physics

Sector:

Education

University:

Concordia University

Program:

Globalink Research Award

Development of an implantable oximeter for patients suffering from chronic respiratory insufficiency: design and validation of a prototype

Oxygen therapy is one of the most used treatments during hospitalization, especially in patients with cardiac or respiratory diseases. The latest recommendations emphasize the need to titrate oxygen as precisely as for any other drugs to avoid underdosage (hypoxemia) as overdoses (hyperoxia). Two million patients in the US receive oxygen therapy in the long term, and this number is rapidly increasing with the growing number of individuals with chronic cardiac and pulmonary diseases and with the aging of the population. The utilization of a pulse oximeters is very limiting for patients receiving long-term oxygen, because conventional oximeters are uncomfortable, they can fall off or lose the signal frequently, and they are very sensitive to movement artefacts. This project aims to combine complementary expertise in electrical engineering, artificial intelligence and respiratory medicine of three leading research institutions to develop an implantable oximeter measuring the rate of saturated oxygen (SpO2) continuously to be used in patients in whom long-term oxygen therapy has been recommended by their treating physician. An implantable oximeter will provide continuous, reliable and stable SpO2 signal to facilitate monitoring of health status in patients.

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Faculty Supervisor:

Benoit Gosselin

Student:

Partner:

OxyNov

Discipline:

Engineering

Sector:

Manufacturing

University:

Université Laval

Program:

Accelerate

Design of a next generation 3D ultrasound vector flow imaging tool

Non-invasive imaging of hemodynamics is known to enhance screening and monitoring of cardiovascular diseases (a leading cause of death in Canada’s aging population), however clinicians lack an imaging tool that can visualize the complex 3D and dynamic nature of hemodynamics in real-time. To meet such clinical needs, this project will aim to devise the first real-time 3D ultrasound imaging tool that can visualize 3D flow vector fields at high volume rates. The proposed tool will be realized by integrating a 2D sparse spiral array probe with a new open-platform ultrasound scanner, and then designing and implementing a new 3D flow vector estimation algorithm on the scanner for real-time execution. This project will synergize ultrasound-related expertise in hardware design from University of Florence and in vector flow imaging from University of Waterloo. Once developed, the proposed tool will provide quantitative 3D flow fields with high temporal resolution that can be leveraged to derive parameters relevant to cardiovascular diseases.

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Faculty Supervisor:

Alfred Yu

Student:

Partner:

University of Florence

Discipline:

Engineering

Sector:

Biotechnology; Technology; Health and Related Sciences & Technology

University:

University of Waterloo

Program:

Globalink Research Award

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