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

Utilization of Agile Management in Construction Projects

Usually, any construction project begins with the planning department preparing a construction schedule that is pushed onto the project team. The big up-front plan might cause delays in the construction process because it relies on predicting a lot in the future, so you need frequent updating of this plan throughout the execution. Agile is a project management approach that includes micro-planning tools to support construction contractors in the execution of projects. This is accomplished through short feedback loops which involve all the project team members and stakeholders to embrace and document the changes and unexpected issues that arise and how they are dealt with. The application of agile management in construction projects can lead to numerous benefits. To begin with, feedback loops are short and mistakes are fixed once they are discovered. Further, the process will involve lower risks because the client is continuously involved in the development process. Construction companies can focus more on time management and regular frequent reviews to improve project financial management.

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Faculty Supervisor:

Osama Moselhi

Student:

Basma Sayed Mohamed

Partner:

Pomerleau

Discipline:

Engineering - civil

Sector:

Construction and infrastructure

University:

Program:

Accelerate

Development of machine learning and artificial intelligence toolbox to monitor data center risks and performance

Missing Link Technologies Ltd. provides customized and effective solutions to its partners for their IT infrastructure & operations. They are especially involved with solving the IT facilities management challenges of Telcos and Datacenters. The proposed research in collaboration with Missing Link Technologies Ltd. is aimed at leveraging the advances in machine learning and artificial intelligence in risk management, performance assessment and availability prediction of a data center. A suite of tools and techniques will be proposed towards this end. The research will also propose a framework to make the proposed tools available to any other businesses that wants to address similar problems. The research and resulting insights is expected to result significant reduction in operation cost and improved availability of services thus benefiting both the industry collaborator and the customers.

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Faculty Supervisor:

Pawan Lingras

Student:

Sabareeshnath Kadamgode Puthenveedu

Partner:

Missing Link Technologies Ltd

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Improving 23Na – Magnetic Resonance Spectroscopic Imaging through RF Coil Development

Magnetic Resonance Imaging (MRI) machines use radiowaves and large magnets to safely produce pictures from the insides of the body. The radiowaves are emitted and detected by special antennas that surround the body. Most MRI scanning involves measuring of water in the body. But other atoms, like sodium, can also be seen too. This work described here involves designing new antennas to safely see sodium inside the body. More specifically these antennas will be designed based on novel geometric fractal shapes, which are regularly seen with cell phones. These shapes give a much better signal than traditional designs used currently with MRI.

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Faculty Supervisor:

Michael Noseworthy

Student:

Cameron Nowikow

Partner:

Ceresensa

Discipline:

Engineering - biomedical

Sector:

Medical devices

University:

Program:

Accelerate

Application of Brain 23Na “Big Data” for Future Disease Classification

Sodium is a chemical ion which is essential for a healthy brain. The body naturally regulates its concentration inside and outside of cells through normal metabolism. Disruptions in this intricate balance can be caused by various neurological disorders, such as multiple sclerosis, concussion, or Alzheimer’s disease. In order to provide personalized medical care, a “big-data” approach is required whereby an individual’s brain can be compared to a standardized template or atlas; unfortunately, a sodium atlas, representing normal sodium concentrations, is not currently available. This project’s goal is to use Ceresensa’s expertise in coil design and manufacturing to create an atlas which can be used to further research into sodium’s role into brain illnesses.

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Faculty Supervisor:

Michael Noseworthy

Student:

Paul Polak

Partner:

Ceresensa

Discipline:

Engineering - biomedical

Sector:

Medical devices

University:

Program:

Accelerate

Fractal-element based Magnetic Resonance Imaging Coils for Multi-nuclear Imaging

An MRI (Magnetic Resonance Imaging) scanner is a machine that uses magnets and radio waves to take pictures of the inside the human body without needing to use surgery. An MRI scanner is used to look at things like the brain, liver, heart, and other organs in your body. The scanner uses a “coil” placed near the body to take a picture of that area of the body. This research project uses new shapes of coils to better detect the organs hidden inside. The new shapes of coils can also help detect

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Faculty Supervisor:

Michael Noseworthy

Student:

Jimmy Nguyen

Partner:

Ceresensa

Discipline:

Engineering - computer / electrical

Sector:

Medical devices

University:

Program:

Accelerate

Using a digital camera to monitor dust emissions at mine sites

Minerals industry has a considerable responsibility to implement effective dust management plans, thereby controlling the mine dust emissions. In dust management plans, the monitoring of dust emissions is an indispensable part in both mine sites and process plants. However, mine sites cover a wide range of locations where conventional monitoring instruments cannot be all installed. These locations are still under interests, but there is a lack of technology to monitor their dust emissions to the environment. To this end, new technology using a digital camera will be developed to monitor dust emissions at mine sites. The fundamental understanding of light scattering and absorption and their relationships to dust concentrations will provide valuable guidance for the dust management plans. The findings of this research could be used to create guidelines that will be used in other mining sites in Canada.

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Faculty Supervisor:

Wei Liu

Student:

Linping Wu

Partner:

Teck Metals Ltd.

Discipline:

Engineering

Sector:

Mining and quarrying

University:

Program:

Accelerate

From incubator to money maker: An investigation of entrepreneurial founding teams

The current project seeks to develop an understanding of the process of startup organization process by examining the individual, team, and contextual characteristics that will lead to the success of a startup organization. Despite the importance of each variable, most of the literature has focused on individual characteristics, ignoring the importance of the team as a whole and the context of the organization. The goal of this internship is to create an evidence-based assessment tool that will evaluate a startup based on the aforementioned characteristics. In addition, we are aware that startup organizations are not static in nature; rather, they are dynamics organizations that are constantly evolving as their meet their goal of becoming an operating business. This project will therefore take a temporal approach to assessing startup organization’s needs by identifying differences stages in the startup process and identifying which characteristics are most important at each stage.

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Faculty Supervisor:

Hayden Woodley

Student:

Julia McMenamin

Partner:

Startup Zone

Discipline:

Psychology

Sector:

Other

University:

Program:

Accelerate

Geophysical Prospecting for Antimony (and Chromite) in the Southern Quesnel Terrane, British Columbia, Canada

Antimony is classified as a strategic element due to its high relevance for many military and technical applications, e.g. its use in fire suppressants and lead-acid batteries. Canada has currently no operational mine to produce antimony and about 90% of the world production originates from China and east Asia. This project will develop a geophysical prospecting program to explore for antimony, which has been discovered in samples taken from the industry partner’s mineral claim in the southern Quesnel terrane, northwest of Kelowna, British Columbia. At least four different geophysical techniques will be employed to explore a hydrothermally altered shear zone for antimony mineralization as well as a granodiorite intrusion which is associated to serpentinization and resulting chromite deposits. This project is innovative as both commodities do not exhibit very distinct geophysical parameters, but must be identified through associated minerals and foremost the location of specific geological structures.

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Faculty Supervisor:

Alexander Braun

Student:

Andrew Branson

Partner:

Redline Minerals Inc.

Discipline:

Engineering - other

Sector:

Natural resources

University:

Program:

Accelerate

Study of the Latent Space in NLP: Mathematical Foundation and Application to Disentanglement

Recent progress on word and sentence embeddings has enabled efficient representation and learning of complex high dimensional probability distributions over rich text data. The proposed research aims at addressing some of the fundamental questions in this field: What are the natural mathematical structures on that latent spaces? How to find a meaningful basis? What is the best method of disentanglement for NLP? Through this collaboration, RBC Borealis AI will gain insights and knowledge of some fundamental ideas in machine learning and natural language processing, become familiar with state-of-the-art disentanglement and embedding models, and make improvements to their products such as news filtering, financial asset valuation, automated trading and personalized reward program

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Faculty Supervisor:

Olga Vechtomova

Student:

Vikash Balasubramanian

Partner:

Borealis AI

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

An Examination of Early Childhood Educators’ (ECEs) Knowledge, Self-Efficacy and Risk Tolerance for Outdoor Play Among Young Children in Childcare

Playing outdoors in exciting, risky activities has been shown to positively impact the health of children. However, children are often restricted from engaging in this type of play due to safety concerns. Educating adults who care for children about the importance of outdoor risky play is an important step to help improve children’s opportunities for outdoor play in childcare. The purpose of this study is to evaluate the success of a workshop, developed and delivered by the YMCA of Southwestern Ontario, at improving early childhood educators’ knowledge of outdoor play, their confidence to promote outdoor play among children, and their everyday tolerance for risk in childcare. Any improvements noted after participating in the training will demonstrate success. The results will be used to inform future training for YMCA childcare staff to ensure that educators are knowledgeable and confident to support the implementation of outdoor risky play within their programs.

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Faculty Supervisor:

Patricia Tucker

Student:

Molly Driediger

Partner:

YMCA of Southwestern Ontario

Discipline:

Kinesiology

Sector:

Education

University:

Program:

Accelerate

Evaluation of light emitting diode arrays for shipping container plant factories

Controlled plant factories are closed and insulated environments that can be automated and artificially illuminated. They may be built in recycled shipping containers that are mobile, carrying enormous potential for food crop production and addressing food security in remote areas. However, lighting technologies and light positioning in these factories has not been optimized for different plant species. Our objective is to improve lighting and plant production practices in small plant factories. This research will explore how lighting systems and light positioning (overhead or side illumination), can affect plant growth. LEDs will be compared with high-pressure sodium and fluorescent lighting. This research will add to our knowledge of how plant growth is affected by specific light wavelengths and orientation. It will also contribute to system designs that improve biomass production and that will be completely automated in the future.

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Faculty Supervisor:

Mark Lefsrud

Student:

Kyle Lucherini

Partner:

Discipline:

Engineering - other

Sector:

Agriculture

University:

Program:

Accelerate

Identifying and managing under-performing employees’ motivational barriers: Organizational factors, personality derailers, and mental health problems.

One of the most complained about behaviours of employees in organizations is the problem of their lack of motivation or demotivation. The current literature on work motivation is mainly focused on organizational factors that lead to motivation (e.g., job autonomy). Unfortunately, other important contributors such as negative personality traits and mental health issues have not gained enough attention as antecedents of demotivation. The purpose of this project is to identify all of the important factors that could potentially contribute to work demotivation, including organizational, personality, and mental health factors. Also, specialized templates will be created that let consultants identify the main sources of demotivation and make them able to better and more efficiently address them. This project is in line with the partner organization’s mission of translating knowledge to practical management guidelines for consultants and leaders.

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Faculty Supervisor:

Catherine Kwantes

Student:

Amirreza Talaei

Partner:

Expert Insights International Inc

Discipline:

Psychology

Sector:

Management of companies and enterprises

University:

University of Windsor

Program:

Accelerate

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