Innovations 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

Life-cycle cost analysis of compressed air energy storage systems

The proposed internship aims to study how the performance and the reliability of mechanical energy storage systems influence their life-cycle cost (LCC), including the acquisition cost, the maintenance, and the energy costs. First, the effect of the variation of the design parameters on the performance and acquisition cost of the product will be assessed. Second, the effect of materials and processes on the reliability and the LCC of product will be studied. Lastly, the energy cost associated with the operation of the product will be analyzed. The results will be presented to the Partner in form of a computer program. In developing such database, theoretical and technical aspects of manufacturing will be considered in close collaboration with the Partner. This computer program, coupled with the performance analysis models of the product, could be used in designing a product with an optimum LCC and required performance.

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Faculty Supervisor:

Benoit Boulet

Student:

Reza Lotfalian

Partner:

Sigma Energy Storage

Discipline:

Engineering - mechanical

Sector:

Alternative energy

University:

McGill University

Program:

Accelerate

Looking at the Physical and Psychosocial Outcomes of an After-School Physical Activity Intervention for Children with Congenital Heart Disease

The research intern will be working with Sportball to offer one of their multi-sport after-school programs to children who are living with serious heart defects. Physical activity has many health benefits for children, and after-school programs are an effective way to increase daily physical activity levels. Children living with heart disease are a vulnerable group who don’t regularly participate in physical activity, putting them at risk of developing chronic diseases later in life. The goal of this research is to look at the impact of the multi-sport after-school physical activity program on the overall fitness and quality of life of children living with heart disease. The internship will give Sportball evidence-based results, increasing the value and credibility of what they have to offer as an organization and who they are as a brand.

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Faculty Supervisor:

Patricia Longmuir

Student:

Angelica Blais

Partner:

Sportball Ltd

Discipline:

Medicine

Sector:

Medical devices

University:

University of Ottawa

Program:

Accelerate

Development of an Equity Risk Score System and Interest Rate Shock Modelling for Value-at-Risk Computation

The objective of this research is twofold: to improve existing risk management framework to assess interest rate shocks, and to develop a new risk factor model to create an equity risk score system to help guide investment decisions.
The first part of this research project involves the development of an equity risk score system to better evaluate the quality of an investment. The system will provide a standardized score to measure if the level of risk of an investment is acceptable, which is intended to aid a financial analyst in the ensuing investment recommendation
The second objective is to improve upon industry practice and create a framework to model interest rate shocks. The main driver is to improve the calibration of interest rate movements, where small absolute fluctuations in a low interest rate environment result in very large relative fluctuations, and vice versa.

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Faculty Supervisor:

Roy Kwon

Student:

Giorgio Costa Del Pozo

Partner:

University of Toronto

Discipline:

Engineering - mechanical

Sector:

University:

University of Toronto

Program:

Accelerate

Games as Analogical Scaffolds in Teaching and Learning

Games have, in the last decade, become an important tool for teaching in both the education and business section. The application of games, and game mechanics, in these areas is often called gamification. The aim of this project is to explore how games can be used to create rich, first hand, experiences that can be used by educators to improve learning. This project will result in a short guide for educators interested in using gamification to create games that support learning in this way, as well as a learning module for ITRG that uses a game to create opportunities for teaching participants by reflection on their experience playing the game.

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Faculty Supervisor:

Christopher Smeenk

Student:

Jessey Wright

Partner:

Western University

Discipline:

Philosophy

Sector:

Education

University:

Western University

Program:

Accelerate

Acoustics Modeling of ecoCUBE

Emissions control is an important part of any environmental policy. However, in dense urban environments and other locations, it is important to deal with sound as well. To ensure effective pollutant mitigation while also ensuring minimal acoustic disturbance, it is necessary to look at computer models that look at these factors simultaneously. This work will provide SPI with tools necessary for acoustic models while ensuring that their current products meet environmental requirements.

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Faculty Supervisor:

Pierre Sullivan

Student:

Jobin Puthuparampil

Partner:

University of Toronto

Discipline:

Engineering - mechanical

Sector:

Alternative energy

University:

University of Toronto

Program:

Accelerate

Leveraging data analytics in modern tax function

Investigating geographical footprints of income shifting by multinational enterprises. PwC owns a large data set across all industries in Canada from its tax consulting engagements and annual standard tax filings from clients. This growing data source is an opportunity for accurate tax benchmarking, trend analysis and gaining deeper insights by transforming them into market differentiating knowledge that can be dynamically shared and accessed by multiple teams. The company has started a streamline of projects firm wide to elicit value and insights by integrating data analytics into multiple functions. This project will be one of the initial studies of how data analytics can play an integral role in tax functions and improve tax consulting planning processes. We will investigate geographic income shifting by North American corporations in response to worldwide changes in tax rates, monetary policies and also discover new factors apart from the traditional variables that drives companies to restructure their operations geographically in order to optimize their effective tax rates. Many previous studies indicate differential changes in tax rates provide incentives for income shifting in the past. TO BE CONT’D

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Faculty Supervisor:

Kenneth Jackson

Student:

Sooa Lim

Partner:

PricewaterhouseCoopers

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Application of Variable Speed Drives for Improved Grinding Energy Efficiency

The research program is aimed at developing operating systems that enable grinding mill speeds to be controlled in responses to variations in ore properties. Although there are studies that show speed control can improve productivity and significantly reduce energy requirements, mines presently used fixed speed systems for their ball and tower mills. With development of new variable speed drive systems that can retrofitted to the fixed speed systems, there is an opportunity for mines to introduce the technology for their operation. Present models are inadequate for quantifying the improvements that can be realized and the only means of developing better models that accurately predict full scale benefits is via plant studies and trails that can be used to calibrate and validate the models. Such research will support the development of the operating strategies and control systems for mines that incorporate the variable speed drives.

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Faculty Supervisor:

Bern Klein

Student:

Monong Huang

Partner:

Ingeteam Power Technology

Discipline:

Engineering

Sector:

Mining and quarrying

University:

University of British Columbia

Program:

Accelerate

A Sequential Model to Recognize Depression Acuity Using Social Media and Physical Activity

Over 350 million people worldwide suffer from depression. A key part in diagnosing depression is screening questionnaires, which rely on patient self-reports of the recent past. With the advent of social media and wearable devices, there is an opportunity for a novel approach to detecting when a patient diagnosed with chronic depression becomes acute. In this project, we use social media data and physical activity data to detect depression acuity. Social media is indicative of an individual’s mental state. Physical activity is an indicator of physical wellness. Our aim is to use machine learning to uncover patterns within and among these two diverse data sources to build a sequential model to identify depression acuity more accurately and sooner than existing screening questionnaires. Dapasoft benefits from this project since it is complementary to their products for handling electronic health records.

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Faculty Supervisor:

Rhonda McEwen

Student:

Morteza Zihayat Kermani

Partner:

University of Toronto

Discipline:

Computer science

Sector:

University:

University of Toronto

Program:

Elevate

Environmental and social risk assessment to support informed collaborative decision making for vegetation management of northern Rights-of-Way

Integrated Vegetation Management (IVM) is an approach that utility companies can use to manage vegetation under or near transmission lines and has been successfully applied in southern jurisdictions. IVM requires practitioners to understand and manipulate plant communities to meet management objectives, such as maintaining a low growing plant communities that help prevent the regrowth of trees. Selective herbicide application is a common technique used in IVM, however, questions remain regarding the effectiveness and environmental impact of IVM and herbicide use in northern boreal ecosystems. In addition, northern Indigenous communities that use rights-of-way (ROWs) and surrounding environments for trapping, hunting and traditional food and medicinal plant harvesting have expressed concerns regarding the use of herbicides. Our project will address both the environmental and social aspects of assessing the risks associated with IVM and herbicide use on northern ROWs in order to provide relevant local data for informed collaborative decision making. We propose to take a unique approach by simultaneously developing improved community engagement strategies while working closely with both industry and community members to provide key information for effective vegetation management of northern ROWs.

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Faculty Supervisor:

Katherine Stewart, Maureen Reed

Student:

Tegan Brock, Chelsea Voinorosky

Partner:

SaskPower

Discipline:

Environmental sciences

Sector:

Energy

University:

University of Saskatchewan

Program:

Accelerate

Mycobiota dysbiosis in colitis-associated colorectal cancer

A higher incidence of colon cancer is reported in populations consuming high amounts of red meat, as well as in patients with inflammatory bowel disease, where gut bacteria participate in the development of inflammation. We found that dietary supplementation with heme, an element found at high levels in blood, is detrimental to gut health and it fosters the growth of harmful bacteria. In this project, we propose to establish new procedures for both the manipulation of the gut bacteria (microbiota), as well as its characterization using a new state of the art sequencer. We will generate probiotics (live bacteria that promote health) to reduce intestinal heme levels in order to protect the gut from inflammation. Novel technologies and equipment for fast and cost-effective characterization of the gut microbiota will allow the introduction of microbiota characterization in the clinic and implementation of personalized medicine.

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Faculty Supervisor:

Manuela Santos

Student:

Ghada Ebead

Partner:

Institut du cancer de Montréal

Discipline:

Medicine

Sector:

Life sciences

University:

Université de Montréal

Program:

Accelerate

Fast predictive design of preforms, patterns, darts and ply book for non-structural aerospace composites

The project deals with the production of non-structural composite interior coverings for aircraft and other vehicles. Producing such interior coverings in Canada requires very good mastery of manufacturing processes in order to contain costs. Target times for preform preparation are of the order of minutes and manufacturing processes remain largely manual. Competition from emerging countries requires better knowledge applied to workmanship in preforming in Canada, and a very fast design process when to support tendering. The aim of the project is to create a decisional tool providing fast support to the preform design process. The most fundamental characteristic and novelty of the approach underpinning the decisional tool is that it displaces most design-related work prior to the time when a new part geometry becomes accessible and a submission must be delivered.

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Faculty Supervisor:

Francois Robitaille

Student:

Sébastien Gagné

Partner:

Hutchinson Aerospace & Industry Ltd

Discipline:

Engineering - mechanical

Sector:

Aerospace and defense

University:

University of Ottawa

Program:

Accelerate

Design and Development of a High-Resolution Sensory System for Detection of Biogenic Signals – Year Two

The main focus of this project will be conducting research and developing novel sensory systems to be used in various agricultural environments. The proposed research project also involves development of interpretation algorithms and data-mining software. Ecoation Innovative Solutions (EIS) developed a technology that monitor and interpret different plant signal patterns. The objectives of the proposed project are to (i) discover the optimum architecture of EIS sensory systems given the specific functional requirements and (ii) determine the best practices for signal processing and filtration to minimize signal/noise ratio. In BC, damage by pests alone costs producers approximately $22 million each year. EIS system can locate the problem on individual plants at early stages before it becomes visible to the naked eye, potentially reducing pest management costs and minimizing crop loss. If EIS system prevents crop loss due to pests alone, just in BC, it can save growers $20 million each year.

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Faculty Supervisor:

Shahriar Mirabbasi

Student:

Pouya Kamalinejad

Partner:

Ecoation Innovative Solutions Inc

Discipline:

Engineering - computer / electrical

Sector:

Environmental industry

University:

University of British Columbia

Program:

Elevate

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