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

Deposition rate and solidification behavior of novel silicon bronze and aluminum consumables

Brazing and braze welding is like welding in that it joins metals using heat and filler metal but differs from welding in that the temperatures used are not hot enough to melt the base metal. The type of filler metal used during brazing and braze welding is significant because it directly impacts the strength and durability of the joint. The goal of the research is to study Lincoln Electric’s silicon bronze and aluminum filler metals to determine their solidification behaviors and deposition rate during braze welding. With a better understanding how their filler metal deposits and solidifies during braze welding, Lincoln Electric can decide on the best applications for their product and how to market it to industry.

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Faculty Supervisor:

Patricio F. Mendez

Student:

Mackenzi Johnston

Partner:

Lincoln Electric Company of Canada

Discipline:

Engineering - chemical / biological

Sector:

Manufacturing

University:

University of Alberta

Program:

Accelerate

Fingernail-attachable electronics with integrated, NFC controlled, flexible displays for decorative purposes

AIM Colours is looking to revolutionize self-expression by combining cosmetics with technology through the creation of eCosmetics. We envision eCosmetic applications as devices that can be continuously colour-manipulated from any mobile device, creating a world where anyone can be empowered by make-up instantaneously. These project requires the seamless integration of engineering and chemistry, especially since the field of decorative wearable electronics is currently underdeveloped. The purpose of this project is to develop ePolish. ePolish are technology-enabled press-on nails that allow users to interact with the appearance of their nails directly from their smartphones. This revolutionary version of nail polish will allow users to save time and avoid chronic exposure to chemical solvents.

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Faculty Supervisor:

Boris Vaisband;Chao-Jun Li

Student:

Alejandra Dominguez Huerta

Partner:

Technologies AIM Colours

Discipline:

Chemistry

Sector:

Manufacturing

University:

Program:

Examining the benefits of interactive learning as a function of decreased mind wandering

Educational video games or ‘serious games’ represent an emerging trend in technology-assisted learning. Research suggests that interactive media, which responds to user input (e.g. video games), may promote learning by engaging attention better than receptive media (e.g. videos). Mind wandering, including off-task thoughts, is associated with disengagement of attention and is linked to boredom and poor learning outcomes. Thus, reduced mind wandering may serve as an indicator of better engagement and learning associated with serious games. We propose to compare an interactive serious game, designed by Exo Insights, to an educational video in terms of mind wandering and learning outcomes. We anticipate that mind wandering will be lower and learning outcomes higher for the interactive serious game. This study promises to uncover the potential engagement and learning advantages of serious games. Study methods and findings may also inform the development of Exo Insights’ virtual training technology.

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Faculty Supervisor:

Daniel Smilek

Student:

Derek Albert

Partner:

Exo Insights Corp

Discipline:

Psychology

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Research in Support of New Orthotropic Steel Bridge Deck Provisions for CSA S6:25

Orthotropic bridge deck is lightweight steel deck, typically fabricated by welding “ribs” to the underside of a flat steel plate. The potential benefits of these deck systems are compelling. For example, from 1991 to 1993, the deteriorating deck on the Champlain Bridge was replaced with orthotropic steel deck panels weighing 25% less than the original reinforced concrete deck. The reduced self-weight enabled the bridge to continue to operate despite increasing live loads and deterioration of the superstructure for another two decades. In the last code cycle, provisions in CSA S6 for orthotropic bridge deck design were replaced with a reference to the American AASHTO Bridge Specification, on the basis the Canadian provisions were no longer up-to-date. On this basis, the goals of this project will be to: 1) conduct an in-depth review of the state-of-knowledge on steel orthotropic deck design; 2) perform preliminary structural analyses on a broad range of deck spans and configurations, to test the implementation of the current design approach; and 3) produce two reports, each including a summary of findings, and identified areas of improvement for future editions of CSA S6 and future research.

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Faculty Supervisor:

Scott Walbridge;Bruno Massicotte

Student:

Spencer Arbuckle

Partner:

CSA Group

Discipline:

Engineering - civil

Sector:

Professional, scientific and technical services

University:

Program:

Accelerate

Developing Alternative Career Decision-Support Tool for Internationally Educated Health Professionals

Internationally Educated Health Professionals (IEHPs), are those who completed their health professional degree (e.g., nursing, MD, etc.) from outside Canada. Many of the IEHPs, however, cannot integrate into their ideal career i.e., nurse, physician, etc. and remain underemployed in non-skilled jobs. The low rate of success in obtaining their respective career in Canada leaves no choice but to explore alternative career options. A lack of information and strategic support, lack of job counseling and coaching opportunities for IEHPs further obstruct their pursuit of alternative careers. To address the issues to the integration of IEHPs through alternative careers we propose this project to develop a decision-support tool for IEHPs to facilitate their pursuit of alternative career. The tool will suggest a short-list of jobs filtering from estimated 150-200 potential alternative jobs to an IEHP based on their personal preference and constraints, transferable skills, and the job requirements by the employers.

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Faculty Supervisor:

Tanvir Turin Chowdhury

Student:

Md Saif Uddin Sikdar

Partner:

Scotiabank

Discipline:

Biology

Sector:

Education

University:

University of Calgary

Program:

Accelerate

Stress Monitoring in Potash Mines

Mining induced stress in the area around tunnel openings represents a major design consideration in today’s potash mines. The actual induced stress is currently monitored using an array of techniques derived from the hard rock mining industry, one of the key assumptions being linear-elastic deformation behaviour of the rock. When using these methods in an evaporite like potash, issues can arise with the accuracy of these assumptions. The purpose and objective of this research is to assess the accuracy of current standard practice for stress monitoring, and ultimately recommend test an improved procedure. Improved accuracy will lead to better stress models for mining activity in soft rocks, allowing for more proactive engineering controls to be implemented at lower cost than reactive methods.

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Faculty Supervisor:

Douglas Milne;David Elwood

Student:

Latham Hamlin

Partner:

Nutrien

Discipline:

Engineering - civil

Sector:

University:

University of Saskatchewan

Program:

Accelerate

Real-time Automated Security Report Generation

In today’s world, organizations protect themselves and their customer’s data through the implementation of complex cybersecurity solutions composed of many different nodes, each generating constant streams of data. Building reports from this data through the calculation of various metrics can provide much needed visibility into the state of the environment. However, building such reports can be a tedious and time-consuming process. Automated report generation can provide fast, clear views into the current or changing environment in varying levels of detail to allow for quicker incident detection and response as well as decision making.
This research project is a continuation of the Reporting Automation Platform (RAP) project that was started last year and will involve expanding the automated reporting platform to increase its functionality to generate more detailed reports. This project will also study the effects of integrating additional data streams into the platform.

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Faculty Supervisor:

Charlie Obimbo

Student:

Leopoldine Vassiliou

Partner:

ISA Cybersecurity

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

Creating a comparison and alert methodology for managing the CCTX feed

Most collaborations and government departments share their threat data feed in Data Exchange. Inescapably, nowadays with increasing threat data, it is a challenge to extract a large amount of threat data and unify the format more quickly. And as more and more companies join in sharing, the redundancy of this duplicate data will increase dramatically. This project proposes machine learning algorithms for automatic format conversion to extract threat information from the traffic data, and convert them into STIX format and detect whether these structured feeds already exist in CCTX. And a dashboard is developed for security analysts to compare the frequency in feeds.

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Faculty Supervisor:

Ali Dehghantanha

Student:

Yangyi Zou

Partner:

Canadian Cyber Threat Exchange

Discipline:

Computer science

Sector:

Other services (except public administration)

University:

University of Guelph

Program:

Accelerate

Building and Evaluating a Consolidated SIEM (Security Information and Event Management) Threat Identification

Businesses are collecting more and more data, but they do not have the manpower to properly analyse it. This project will implement a proof of concept for a system that uses machine learning to improve the detection of cyber threats. The machine learning algorithm will receive information from many different data sources, detect where there is suspicious activity, and alert a cyber analyst. By adding a machine learning algorithm to the arsenal of cyber analysts, the analysts will be able to cut down on the time it takes to react to the threats. The project will produce reports and documents analyzing the effectiveness of the machine learning algorithm.

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Faculty Supervisor:

Rozita Dara

Student:

Giacomo Nunno

Partner:

Farm Credit Canada

Discipline:

Computer science

Sector:

Finance, insurance and business

University:

University of Guelph

Program:

Accelerate

Automation & Orchestration for Improved Security Communication

Speed is incredibly important when addressing issues with computer security. The longer the time between the attack’s start and resolution, the more assets that attackers can steal from a company. There are various security platforms that can alert a company to a cyber-attack. This research project aims to combine knowledge from all these platforms together at faster speeds than a human would be able to do. The cooperation between security platforms will allow ISA Cybersecurity Inc. to detect and respond to cyber-attacks faster than previously possible. This will benefit them in protecting business, and by proxy Canadian citizens, data from cyber criminals.

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Faculty Supervisor:

Charlie Obimbo

Student:

Jacob Young

Partner:

ISA Cybersecurity

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

Network and Data Security Access Control

Imagine a refrigerator automatically orders the eggs from the online store to deliver at its location and make the payment on behalf of the owner. In today’s world, the network infrastructures are not limited to traditional datacenters or company’s premises. IoT (Internet of Things) and BYOD (Bring Your Own Device) are growing rapidly in our life. Network and Data Security Access Control plays a vital role to protect our data from being stolen intentionally or unintentionally. In this project we are focusing to implement a vulnerability testing tool on the company’s network, also developing a plan to enable policy enforcement on an enterprise NAC (Network Access Control) tool and documenting a process development to support remediating the isolated devices and abnormal connection requests. Finally, developing and documenting design requirements, to implement a plan for remote Zero-Trust devices that require access to company’s Data and Network.

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Faculty Supervisor:

Xiaodong Lin

Student:

Mohammad Ali Maeen

Partner:

Life Labs Medical Laboratory Services

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

Anomalous DNS Query Detection Using Machine Learning Approaches

For organizations that use the Internet, their employees will visit thousands of websites every day. However, there is a chance that the destination website is not safe to visit. Such websites may be fraudulent, phishing, or even data-stealing related. On the other hand, determining if the target website link is suspicious or not could help to prevent potential harm. Using a filtered list is the most straightforward way. The problem is, as the database for malicious websites is growing, hackers’ minds are also developing, which requiring a more profound way to deal with such a problem. This project aims to find any anomalous website visit attempt by using machine learning algorithms to solve the problem. As eSentire is a cybersecurity company dedicated to bringing solutions to companies who are having cybersecurity concerns, this project will serve as a reference for eSentire to solve related problems with more options.

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Faculty Supervisor:

Hassan Khan

Student:

Xiaochao Luo

Partner:

eSentire Inc.

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Guelph

Program:

Accelerate

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