Innovative Projects Realized

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

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Complex Microscopy

The proposed project is to combine digital holographic microscopy (DHM) and interferometric scattering microscopy (iSCAT), which can be separated into two sub-tasks. The first one is introducing reconstruction holographic algorithm to iSCAT image analysis, realizing real-time particle 3D tracking. Tracking objects along the optical axis in iSCAT is commonly done by comparing the shape of its interferogram with a pre-recorded calibration table. With the adoption of field reconstruction algorithms, the same result can be obtained with a calibration-free procedure, without the need for pre-knowledge of the sample. This is especially relevant in the biological context, where evolving samples are observed over longer periods of time. The second task is to add off-axis DHM channel to the existing iSCAT-TIRF setup. The extra channel will allow for more informative measurements to be performed simultaneously, which is possible to obtain the complex properties of the sample, i.e., refractive index.

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Faculty Supervisor:

Christopher Yip

Student:

Partner:

Friedrich-Schiller-Universität Jena

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Novel corrosion and wear resistant self-lubricating hybrid coating

Our research project aims to develop an advanced coating solution for the tire molding industry to address the problem of rubber sticking to mold and vent surfaces during the tire curing process. Currently available solutions are costly, have a limited lifespan, and cause interruptions in the manufacturing process. We propose to use an electroless composite coating composed of three components, which offers excellent resistance to galling, corrosion, and wear. This coating can be applied to different surfaces with minimal preparation and ensures uniform coverage, preventing rubber adhesion. By implementing this coating, we can improve the efficiency of the tire molding process and reduce production disruptions. This research project will benefit our partner organization, Michelin Canada, as well as the wider mold industry by providing a cost-effective and long-lasting solution to the adhesion problem.

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Faculty Supervisor:

George Jarjoura

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Nanotechnology; Clean Technology; Advanced Manufacturing

University:

Dalhousie University

Program:

Accelerate

From Management to Adaptation: An organizational learning approach to strategic renewal of the environmental management function at The City of Calgary

This study looks at how organizational learning can be applied to enhance the relationships between human organizations and the environment. A team of environmental management professionals at The City of Calgary will work with the intern/researcher to design and test the effectiveness of an organizational learning tool. The tool will be applied to explore principles of complexity and self-organization in the context of The City of Calgary’s interactions with its environment, and will look at how organizing from the bottom up can complement The City’s existing systems-based environmental management approach. A multi-phased organizational learning exercise will be applied to identify intuitive knowledge and experience gained by individuals at the operation level of The City as they do their jobs, and to feed this knowledge forward into the institution. The study will investigate how the learning program contributes to developing the capacity of The City to self-organize and adapt to its environment.

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Faculty Supervisor:

Veronika Bohac-Clarke

Student:

Partner:

City of Calgary

Discipline:

Sociology

Sector:

Public administration; Utilities

University:

University of Calgary

Program:

Accelerate

Calibration Of The Heston Model

Traditionally, the Heston model has been calibrated using a combination of least squares, options inference and gradient
methods. However, a new calibration technique has recently been developed based on the explicit solution and stochastic
calculus techniques. This new method could greatly simplify and improve the accuracy of the process. The explicit price solution
and the filter used in the calibration problem mentioned above are found to be key for an explicit solution to the Markowitz
problem for one Heston stock and one bond.
In this project, we will focus on self-calibration, where we will only use the stock path itself to calibrate the model, i.e. no option
data will be used. This involves calculations of some parameters and a filtering problem for the remainder. The goals are: 1)
Evaluate various filters for the calibration process. 2) Compare our calibration method to others in the literature. 3) Investigate
improvements to the calibration by including option data observations.

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Faculty Supervisor:

Michael Kouritzin

Student:

Partner:

Indian Institute of Science Education and Research Pune

Discipline:

Mathematics

Sector:

Finance and Insurance; Other

University:

University of Alberta

Program:

Globalink Research Award

Développement territorial intégré dans l’Est de Montréal: rôles, capacités d’action et potentiels de collaboration entre les Tables de quartier et les services d’urbanisme

Le projet de recherche partenarial vise à outiller les Tables de quartier de l’Est de Montréal face à des enjeux générés par des grands projets d’aménagement et d’infrastructure dans le cadre des investissements gouvernementaux. L’approche de recherche action est mobilisée pour assurer un accompagnement scientifique des coalitions d’acteurs de la société civile qui s’organisent sur le territoire. S’appuyant sur une meilleure compréhension des rôles et capacités d’action respectives des Tables de quartier et des services d’urbanisme face aux promoteurs privés, le projet de recherche vise ultimement à renforcer l’agentivité des Tables de quartier pour maximiser les retombées positives envers leurs communautés en promouvant l’équité territoriale en matière de services et aménités urbaines tout en favorisant la transition écologique dans les activités de production.

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Faculty Supervisor:

Priscilla Ananian

Student:

Partner:

Mercier-Ouest Quartier en Santé

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Université du Québec à Montréal

Program:

Accelerate

Investigating the mechanisms of Parkinson’s Disease

More than 100,000 Canadians are affected by Parkinson’s disease which affects the brain. It can disrupt the daily
lives of patients as they find it challenging to walk, talk and express themselves. Current therapies to treat
Parkinson’s disease provide symptomatic relief and are not effective. A protein called alpha synuclein is known
to promote brain cell degeneration by forming glue-like toxic aggregates. However, the mechanisms that lead to
the formation of alpha-synuclein protein aggregates is not clearly understood. My research uses a combination of
computational modeling, chemistry, biochemistry and cell culture based studies to identify new molecules that can
prevent the aggregation of alpha-synuclein protein aggregates and reduce their toxicity to brain cells. It is
anticipated that my research will lead to the development of novel class of molecules that can be used to study
the mechanisms of Parkinson’s disease and discover innovative treatment strategies.

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Faculty Supervisor:

Praveen Rao

Student:

Partner:

Parkinson Society Southwestern Ontario

Discipline:

Life Sciences

Sector:

Other services (except public administration)

University:

University of Waterloo

Program:

Accelerate

Detection of « Total Loss » claims through images

Intact Financial Corporation is Canada’s largest provider of property and casualty insurance by annual premiums. Intact aims to offer expedited claims service to its customers. When opening a claim, Intact already asks its customers to provide images of the vehicle that allow prior identification of the general condition of the vehicle. The intern will have to extract the information automatically from the images that will be attached to the file. Intact then wants to explore different approach through supervised machine learning to shorten the steps deemed critical in the claims process. Customer satisfaction is greatly influenced by the time required to resolve a claim. The main objectives of this project are to shorten these delays and improve the productivity of employees assigned to claims.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Intact

Discipline:

Computer science

Sector:

Finance and Insurance

University:

Université de Montréal

Program:

Accelerate

Equity-oriented HIV care: The role of violence, trauma-informed approaches, and prescription privacy

The purpose of the proposed project is to investigate the impact of violence on HIV care access. Women living with HIV experience extremely high rates of violence; however, little research has explored how violence impacts access to HIV care. Data will be drawn from the Sexual Health and HIV/AIDS: Longitudinal Women’s Needs Assessment Project (SHAWNA: 2014-present), a community-based research project of over 360 women living with HIV that live and/or access care in Metro Vancouver. This research project will examine whether violence is associated with greater difficulty accessing care and assess whether aspects of trauma- and violence-informed care (feeling safe, trust and transparency, empowerment) have a positive impact on HIV care outcomes, such as viral load and HIV medication use. Women’s avoidance of pharmacies a pharmacy change that transitioned HIV medication to be widely available to healthcare providers will be assessed. This research will identify ways that healthcare providers and systems can better provide equitable care for women living with HIV.

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Faculty Supervisor:

Kathleen Deering;Gina Ogilvie

Student:

Partner:

Providence Health Care

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Prediction of man-made ground vibrations induced by blasting, construction activities, and traffic using artificial intelligence-based models

In this research project, a computational tool will be developed to predict the ground vibration intensities and frequencies during construction activities in urban areas and mining operations. This tool will help minimize the number of vibration monitoring sensors and arrange them properly. It can also reduce the monitoring time significantly. Furthermore, it will help gather the data at unmonitored locations if some points were missed during monitoring. This would be very economical to Terrapex company because it would reduce the monitoring cost significantly. Also, it would help predict vibrations in new sites before the initiation of the construction and blasting operations.

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Faculty Supervisor:

Kamran Esmaeili

Student:

Partner:

Terrapex

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Elevate

Reduced dimensional model for inexact quasi-Newton acceleration and stabilization of a computational multi-physics framework

The project focuses on enhancing a computational multi-physics framework for analyzing or designing engineering systems where more than one physical phenomena are present and interact with each other – for example, fluid-structure interaction or conjugate heat transfer. In cases where the solution algorithm can be unstable or slow to converge, the partner organization has found it beneficial to use an inexact quasi-Newton method to stabilize the problem and speed up convergence. However, this method can become prohibitively expensive in some cases. The project will be to develop and provide an approximate reduced dimensional model for the quasi-Newton algorithm which reduces the cost without sacrificing too much accuracy.

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Faculty Supervisor:

Rajeev Jaiman

Student:

Partner:

ANSYS Canada Ltd.

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Design and Optimization of Crankshaft Vibration Dampers

This research project attempts to tackle the major issues experienced with crankshaft vibration in modern internal combustion engines through the use of tuned finite element model and optimized rubber dampers. The purpose of this project is to lay out a systematic approach for the design of torsional vibration dampers when given a set of engine parameters. Current industry development relies heavily on the trial and error method as well as past engineering experience. Although this method eventually yields a product which satisfies the performance requirements, excessive development time is required to achieve this state of completion. This project will tackle the development process through the use of advanced finite element methods with the goal of drastically reducing time from inception to production.

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Faculty Supervisor:

Il Yong Kim

Student:

Partner:

Magna Powertrain Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

Queen's University

Program:

Accelerate

Transportation Data Assessment in the City of Vaughan

The MoveSmart Mobility Management Strategy seeks to direct the City of Vaughan’s vision to provide a transportation system that is safe, efficient, and sustainable. This study’s primary goal is to review the data sources available to the City of Vaughan and assess the future data needs that will promote the MoveSmart goals. The objectives are to 1- survey data portals and data collection procedures of similar Canadian cities in terms of size, population, and transportation operations, 2- identify deficiencies in the city’s available data sources to support data-driven and evidence-based decision-making processes, 3- review state-of-art data collection strategies for each of the four programs, and 4- develop a framework short- and long- term data collection strategies to enhance the city’s data sources in support of the MoveSmart goals.

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Faculty Supervisor:

Mehdi Nourinejad;Peter Park

Student:

Partner:

The Corporation of the City of Vaughan

Discipline:

Engineering

Sector:

Public administration

University:

York University

Program:

Accelerate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.