Innovative Projects 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

Investigation into methods and materials to simulate neuroanatomical structures for MR Imaging applications

During their tenure at Preoperative Performance Inc. the interns will focus on the research, design, fabrication and testing of a number of novel MRI phantom assemblies to be used as calibration equipment and research tools for diffusion weighted imaging systems. The conclusions drawn from this research will contribute to interventional planning to provide better healthcare to patients suffering from several conditions including brain tumours, TBI, and neurodegenerative disorders.

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Faculty Supervisor:

Jan Andrysek

Student:

Shannon Ferguson

Partner:

Preoperative Performance Inc

Discipline:

Engineering - biomedical

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Machine Learning based System Suggested Critiquing for in-car Conversational Recommendation

Car Infotainment and Navigation systems to date have only basic interactivity and functionality, and there is nothing in the car today that will keep drivers aware of their surroundings outside the car when the car is in a fully autonomous driving mode. Therefore, we want to contribute in the development of a new in-car infotainment system that is both interactive, personal, contextual (aware of the car’s location and surrounding services). More specifically, we aim to extend iNAGO’s existing conversational recommendation engine to the one that better understands user intent and proactively suggest the correct choices that navigate her to the point of her interest in an effective and efficient manner.

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Faculty Supervisor:

Scott Sanner

Student:

Arpit Rana

Partner:

iNAGO

Discipline:

Engineering - mechanical

Sector:

Information and cultural industries

University:

University of Toronto

Program:

Accelerate

Laura Secord Campus Commons Material Deconstruction and Reuse

Willowbank Centre for Cultural Landscape will work with a University of Waterloo student to engage in an emerging process of building disassembly and material reuse. Demolishing a building and sending the debris to landfill sites is a huge loss of resources, energy, and historical value. This project becomes a prototype on how to reuse building materials in other contexts. Understanding existing building stock as an immense resource, this approach can transform the construction industry and create a different way of thinking about designing and building out of local, reclaimed materials.
The work of the intern will lay the ground work for the project, to determine if it is feasible based on the community consultation, developing forms of representation to describe the materials and deconstruction process, and develop preliminary design proposals for how to implement the re-used components.

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Faculty Supervisor:

Jane Hutton

Student:

Lucy Lin

Partner:

Willowbank

Discipline:

Architecture and design

Sector:

Other

University:

University of Waterloo

Program:

Accelerate

Formulating and solving the multi-calendar resumable and non-resumable Naval Surface Ship Work Period Problem

This project deals with the development of a new mathematical model and a fast solution method to optimize the multi-calendar naval surface ship refit scheduling problem with resumable and non-resumable operations. The Naval Surface Ship Work Period Problem (NSWPP) is a highly complex resource-constrained project scheduling problem (RCPSP) with many work orders that are equivalent to small projects. Planning, scheduling, and executing NSWPPs are very challenging, and a large volume of planned and scheduled work is typically never achieved for a variety of reasons such as unexpected discovery of damages, high variability in work scope and duration, unavailability of human resources or equipment, logistical delays.
This project will extend the existing formulations and matheuristic solution methods to the more realistic case of activities following different calendars such as 8-hour shifts 7 days a week and 12-hour shifts 5 days a week. Activities that span the weekend can be allowed to resume on Mondays with or without penalty.

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Faculty Supervisor:

Claver Diallo;Alireza Ghasemi

Student:

Hyojae Kim

Partner:

Thales Canada Inc.

Discipline:

Engineering

Sector:

University:

Dalhousie University

Program:

Accelerate

Detecting defect inducing changes

This project will look at improving the quality of software by using AI to determine if a defect / issue exists and if so where it exists for easier fixes. This research is innovative and this domain is not proven. The student will explore new techniques for a highly relevant issue in industry. The industry partner will gain insight and knowledge into how improvements can be made ultimately resulting in faster time to market and potential cost savings.

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Faculty Supervisor:

Meiyappan Nagappan;Michael Godfrey

Student:

Gema Rodriguez-Perez

Partner:

Bank of Montreal

Discipline:

Computer science

Sector:

Finance, insurance and business

University:

University of Waterloo

Program:

Scaling up Land2Lab:Intergenerational community action research promoting Traditional Mi’kmaw Foodways

The land and its foods are extremely important for the health of Indigenous communities. Throughout Canadian history, however, factors have limited Indigenous people’s ability to be able to go out on the land and harvest their foods according to Traditional ways. To combat this today, Elders have been sharing their knowledge about the land with youth to support the continued health of their communities. COVID-19 has made this increasingly difficult, however, as the health of Elders is of outmost importance and social gatherings have been limited as a result of this. For this research project, therefore, we will be using a virtual approach to bring together Elders and youth to encourage youth to get on the land to learn about their foods. The Intern will help evaluate this approach and develop a program tool-kit for this project to support its continuation within CMM and so that it can potentially be implemented in other First Nation communities across Canada.

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Faculty Supervisor:

Ann Fox

Student:

Renee Bujold

Partner:

The Confederacy of Mainland Mi’kmaq

Discipline:

Other

Sector:

Professional, scientific and technical services

University:

St. Francis Xavier University

Program:

Accelerate

Connecting ecological dots: striped bass diets, DNA barcoding, stable isotopes and contaminants – Part 2 (of IT15410)

Striped bass, Morone saxatilis, is a popular anadromous fish caught along the Eastern Coast of North American. Striped bass invaded Labrador, NL in August 2017 and, during Part 1 of this study, were identified to feed on Atlantic salmon, cod, char and capelin; important fishes to NunatuKavut Community Council (NCC). The traditional method to identify stomach contents consists of examining stomach contents and morphologically identifying the species consumed. Unfortunately, due to digestion, the quality of stomach contents is highly variable making identification of species-specific components difficult. Quantitative PCR (qPCR) was used to screen for prey items and to quantify their relative amounts. Stable isotope analysis (SIA) provides a longer period (weeks to months) of diets based on trophic-level. We will employ SIA to obtain a longer-term picture of striped bass diets that reflect where striped bass may affect the food web in the region and potentially identify the unknown diet proportion and reveal candidate fish or invertebrate species to do further gastric DNA targeted testing. Contaminants can affect fish health and have obvious implications for human health. In Part 2, we will increase contaminants analysis to provide a better picture of fish health in Labrador.

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Faculty Supervisor:

Trevor Avery

Student:

Rachel Pomerleau

Partner:

NunatuKavut Community Council

Discipline:

Biology

Sector:

Professional, scientific and technical services

University:

Acadia University

Program:

Accelerate

Data Driven Intrusion Detection in Autonomous/Connected Vehicles

Securing autonomous vehicle environments has recently become a hot topic for both industry and academia due to the significant safety and monetary costs associated with security breaches of such environments. This requires different approaches to address the challenges and propose potential solutions at multiple levels of these environments. To that end, machine learning (ML) and blockchain (BC) techniques can play a vital role in ensuring that the safety and security standards are satisfied to protect vehicles from failures that may cause an accident and/or possible attacks. Therefore, this project focuses on exploring the security vulnerabilities associated with the communication technologies used (e.g. short-range and cellular communication technologies) as well as the potential surface attacks associated with the different entities of such environments (e.g. vehicle, controller node, edge node, and access controllers). Moreover, this project investigates the effectiveness and efficiency of ML and BC solutions in addressing and mitigating these vulnerabilities.

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Faculty Supervisor:

Abdallah Shami

Student:

MohammadNoor Injadat;Li Yang;Sulaiman Aburakhia

Partner:

Canadian Urban Transit Research and Innovation Consortium

Discipline:

Engineering - computer / electrical

Sector:

University:

Western University

Program:

Accelerate

Adaptive techniques to predict the N2O emission in a corn field under different fertilizer management practices and external factors.

Global warming is one of the largest environmental issues these days and the increasing greenhouse gases(GHGs) emission such as CO2, CH4 and N2O is the leading reason for global warming. The main sources of CH4 emission are rice cultivating systems and cattle rearing, meanwhile, N2O mainly come from the application of fertilizers. Many factors in the fertilizer management practices, as well as environmental factors, could affect the N2O emission therefore the carbon foot print. In this research, external factors such as temperature, irrigation, soil texture, etc. will be modeled simultaneously in a mathematical model to illustrate the N2O emission during the agriculture process. Machine learning will be implemented to tune the parameters of the mathematical model as well as optimize the fertilizer management practices and external conditions to minimize the N2O emission during the fertilizer application process.

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Faculty Supervisor:

Tet Yeap

Student:

Sainan Dong

Partner:

Invest Ottawa

Discipline:

Engineering - computer / electrical

Sector:

University:

University of Ottawa

Program:

Accelerate

Risk Analysis of Affordable Housing Mortgage Models

Habitat for Humanity (H4H) Halton-Mississauga (HM) provides affordable housing to families in the Halton-Mississauga region. This research project examines the viability – from a financial, organizational risk and family impact point of view – of different mortgage models. It is anticipated that the research would present practical and practicable analytics that would enable H4H-HM, and other local H4H affiliates, to advance mortgage models that foster long-term financial sustainability, represent modest/manageable risk to affiliates but which, importantly, maximize a positive impact on the families that Habitat for Humanity affiliates serve.
The research involves models describing the evolution of interest rates, housing prices, and other relevant economic variables such as unemployment. The analysis will provide insights into the risk profile of different mortgage models and their potential impact on the organization (H4H-HM). This information is crucial to sustain the H4H-HM’s mission of providing affordable housing.

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Faculty Supervisor:

R. Mark Reesor;Adam Metzler

Student:

Kristin Reynolds

Partner:

Habitat for Humanity Halton-Mississauga

Discipline:

Other

Sector:

Other

University:

Wilfrid Laurier University

Program:

Accelerate

Atlantic Salmon Smolt and Habitat Assessment in the Medway River

Atlantic salmon is in decline in many places across its range. Reduced habitat quality, declines in at-sea survival, and decreases in availability or timing of food resources are all recognized as factors contributing to spawning declines and early life survival. Healthy rivers are good candidates for adult enhancement programs. Adult enhancement involves removing some smolts from the river, growing them to adults in aquaculture tanks, and returning them to the river to supplement the natural returns from sea. Before adult enhancement is undertaken, candidate rivers and their smolt populations must be assessed for suitability. Our project goals are to assess the abundance and genetic structure of salmon in the Medway River, habitat including water quality, and prey availability to inform decisions on the suitability of this river for an adult enhancement program.

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Faculty Supervisor:

Trevor Avery

Student:

Leah Creaser

Partner:

Kelly Cove Salmon Ltd

Discipline:

Biology

Sector:

University:

Acadia University

Program:

Accelerate

GaN applications in high efficiency, high power density AC adapters

The ever-growing market of portable electronic devices (e.g., laptop computers, tablets, smartphones) has resulted in the penetration of AC adapters in households greater than ever. Accordingly, the portability of such devices entails substantial demands for light-weighted and compact devices. This necessitates the critical need for high power density and highly efficient adapters. In particular, consumers continuously expect to have a more compact adapter with higher efficiency. Besides, the current technology has reached mature stages. At this point, a new era of wide-bandgap semiconductors, specifically gallium nitride (GaN) based transistors, wins the competition to enhance the power density and efficiency exponentially. This is due to the superior GaN’s characteristics compared to former silicon transistors. Thus, this research aims to address the design and implementation of GaN transistors in high-power-density, high-efficiency converters for AC adaptor applications. This research will tremendously impact the industry as the GaN transistor applications are revolutionizing the world.

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Faculty Supervisor:

Majid Pahlevani

Student:

Rahil Ghatreh Samani

Partner:

GaN Systems Inc.

Discipline:

Engineering - computer / electrical

Sector:

Manufacturing

University:

University of Calgary

Program:

Accelerate

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