Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

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

Developing a Universal Design Strategy to Promote Equity in Employing People with Speech Disabilities

People with disabilities face many barriers to employment. The employment rate of Canadians with disabilities was 49% in 2011, compared with 79% for individuals without a disability. People with communication disabilities face employment rates as low as 14% (McNaughton, 2002), leaving this segment of Canadian society financially dependent, socially isolated, and personally unfulfilled. We seek to develop a universally designed framework to enhance recruiting, hiring and retaining persons with communication disabilities to promote equal access to employment for these individuals. The Six Sigma engineering process DMADV (Define-Measure-Analyze-Design-Verify) is being used to develop this framework for employers. Developing a universal design framework to promote equity in employing people with communication disabilities will socially connect this otherwise isolated population, provide personal fulfillment, increase financial independence, and, hence, improve overall quality of life.

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Faculty Supervisor:

Claire Davies

Student:

Partner:

Canadian Council on Rehabilitation and Work

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology

University:

Queen's University

Program:

Accelerate

Automated Speed Enforcement Deployment and Planning

This project investigates the deployment and operation of automated speed enforcement (ASE) as an emerging enforcement technology in the City of Vaughan, which uses cameras to detect speeding at select locations. The complexities of deployment lie in choosing camera locations with the highest deterrence impact on speeding and the periodic relocation of the cameras, which is standard industry practice to reduce over-familiarization of drivers with camera locations. The objectives of this study are to: 1- analyze traffic accident and speeding violations data to select potential locations for the deployment of cameras, 2- optimize a plan for relocating speed cameras at specific cycles, and 3- develop interactive visualization tools to present the impact ASE on speeding violations in the City of Vaughan.

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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

Development of Alternative Tensile Test for Characterization of UHPFRC

In recent years, ultra-high-performance fiber reinforced concrete (UHPFRC) has gained ground in bridge construction and infrastructure. The tensile behaviour of UHPFRC that effectively limits crack propagation and minimizes the width of cracks, resulting in enhancement of the structure’s strength and durability is of utmost interest. However, the fast, easy, and reliable characterization of this property remains a challenge in codes and standards around the world. Direct tension tests require specialized gripping devices not available in most of the commercial testing labs and are generally difficult to conduct. The alternative flexural tests are fraught with uncertainties; to extract the fundamental stress-strain response of the material in tension, it is necessary to use poorly correlated inverse analysis procedures that have been shown to lack accuracy based on oversimplified assumptions or are extremely difficult to conduct and require highly specialized personnel. To eliminate the above challenges related to both test options, the proposed research targets to the development of an alternative, easy to conduct test method that could be used both for characterization and quality control of the tensile properties of UHPFRC, while facilitating the use of the standard testing equipment available in most commercial testing laboratories –

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Faculty Supervisor:

Stavroula J. Pantazopoulou

Student:

Partner:

ceEntek;Facca Incorporated

Discipline:

Engineering

Sector:

Construction and infrastructure; Manufacturing

University:

York University

Program:

Accelerate

Advances in Computer Algebra and Analysis

Computer Algebra Systems (CAS), with their unique ability to analyze and solve mathematical problems, are gathering new communities of users, who challenge those software systems with more and more complex tasks. It is necessary, therefore, that the core engines of CAS to implement stateof- the-art algorithms. This proposal capitalizes on the research conducted by academic partners at the University of Western Ontario in order to strengthen and extend the technology of their industrial partner, MAPLESOFT, the developers of MAPLE, one of the leading CAS world-wide.

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Faculty Supervisor:

Marc Moreno Maza

Student:

Partner:

Maplesoft

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

The University of Western Ontario

Program:

Accelerate

Machine learning tools for rapid pricing of exotic equity products

Exotic derivatives of various kinds contribute significantly to the risk exposure that must be managed by banks. In order to be competitive, banks need to assess their risk exposure frequently, and make necessary adjustments to their positions. Assessing risk exposure involves computing valuations of all the assets in their investment portfolio, along with their sensitivities. When closed-form formulae are available, this can be done rapidly. However, no such formulae are available for exotic products, therefore various computationally demanding numerical methods must be used.
The goal of this project is to develop a machine learning (neural network) model that can replicate the valuations produced by BMO’s existing computational methodologies, given any feasible set of input parameters. Once trained, such a network will be able to generate its output rapidly. The challenge is in the training, since the space of input parameters is extremely high dimensional.

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Faculty Supervisor:

Antony Ware;Alexandru Badescu

Student:

Partner:

Bank of Montreal

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

University of Calgary

Program:

Accelerate

Novel anti-Helicobacter pylori agents from lactic acid bacteria

Helicobacter pylori (HP) colonizes chronically ~50% of the world’s population, causing gastric tissue inflammation and gastric ulcers or cancers. Lactic Acid Bacteria (LAB) have probiotic effects against HP, meaning that they help alleviate symptoms. We found that 5 LAB provided by partner Lallemand Health Solutions (LHS) produce and release molecules that inhibit the growth of HP and abrogate features essential for gastric colonization by HP. The LAB secretions also decrease HP’s ability to cause inflammation in human gastric cells. We aim at characterizing the active molecules to develop them into therapeutic agents and validate the applicability of LAB as probiotics with anti-HP effects. We also aim at understanding the mechanisms of action involved by assessing which HP genes are affected by the interaction. This work will eventually benefit ~6 million new gastric ulcers or cancers patients per year worldwide and will alleviate the economic burden of health care costs associated with these diseases.

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Faculty Supervisor:

Carole Creuzenet

Student:

Partner:

Lallemand Health Solutions Inc (Montreal, QC)

Discipline:

Life Sciences

Sector:

Agriculture; Manufacturing; Professional, scientific and technical services

University:

The University of Western Ontario

Program:

Elevate

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