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

Information Literacy and Blockchain Technology

Blockchains have evolved from an obscure technology powering bitcoin to a multi-billion- dollar research area. From the financial tech industry, healthcare, digital identities, and government services, blockchains are touted as a revolutionary new mechanism for communication and transactions. As popularity in blockchain technology increases, many are left in the dark as to how this technology works, why it is important in preserving privacy, and how it can be used. Information Literacy, a concept from the Information Sciences regarding an individual’s ability to find and use information effectively, may help identify gaps in knowledge and develop techniques to educate / inform the public. Using interviews and focus groups, data collection, this study will gain insight into the level of information literacy as it translates to information retrieval habits, as well as to their understanding of blockchain technology. Additionally, this data can be used to better identify the information needs of Lifeguard App users and inform public health strategies in Canada.

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Faculty Supervisor:

Victoria Lemieux

Student:

Keenan Federico

Partner:

Lifeguard Digital Health Inc

Discipline:

Other

Sector:

Other

University:

University of British Columbia

Program:

Accelerate

The Implications of Blockchain Technology on Privacy, Regulation, and Public Policy

The goal of this research project is to understand how private, blockchain-based enterprises best engage and understand current Canadian regulation on data privacy. Policy is created at many different levels of government and it can be difficult for companies to be aware of the specific requirements needed to comply with regulation. This project will ask how do tech companies situate themselves amid provincial and federal privacy regulations? What are the best practices for handling contradictions in regulation? This project will work in collaboration with Manyone, a company researching the creation and proliferation of self-sovereign digital identities across platforms, to tackle these questions. This research project will deliver a strategic action plan for companies on how to best interact with data privacy regulation in British Columbia and an academic paper that examines the current state of data privacy policies as well as easing the communication gap between the public and private sectors.

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Faculty Supervisor:

Victoria Lemieux

Student:

Remy Hellstern

Partner:

Manyone Inc

Discipline:

Public administration

Sector:

Professional, scientific and technical services

University:

University of British Columbia

Program:

Accelerate

Objective neurophysiological measures to define motor function in healthy aging and chronic stroke

Globally, neurological disorders impact over 250 million individuals and of this, stroke makes up the highest demand for rehabilitation (Cieza, 2020). As the prevalence of stroke continues to grow, the number of individuals who experience lasting impairment will continue to increase. We face challenges including the limited availability of health care providers, access to specialized equipment and increasing costs. An emerging field of research has looked at whether we can use measurable signals of brain activity to assess the degree of lost function after a stroke. Electroencephalography (EEG), a method for recording brain activity has proven to be a low-cost, non-invasive and highly portable solution that is ideally suited to address these challenges. This approach could save time and money in stroke assessment and help with the development of new rehabilitation strategies. The purpose of this research project is to evaluate whether a new EEG brain recording tool developed by HealthTech Connex can be used to assess impairments in movements and cognition and to determine whether we can track these measures over time in individuals who have suffered a stroke.

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Faculty Supervisor:

Lara Boyd

Student:

Christina Jones

Partner:

Health Tech Connex

Discipline:

Medicine

Sector:

University:

University of British Columbia

Program:

Accelerate

Understanding the priorities for quality of life in people after brain injury

We will use a four-phase process to obtain group consensus on the needs and priorities of individuals with brain injury. Throughout the process, participants will meet in virtual focus group to identify, by consensus, the most relevant needs and priorities among those listed previously. The most relevant indicators from the previous stage will be finalized and prioritized by the participants in a final virtual meeting. This research is novel as no research to date has identified the priorities of research and rehabilitation to improve quality of life after TBI using a patient-partnered approach. The expected benefit to the partner organization is having increased material and resources on their website (Brain Streams), providing opportunities for their clients to contribute to TBI research and contribute their ideas and lived experience and being involved in community initiatives for people with TBI and making connections with the UBC community.

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Faculty Supervisor:

Julia Schmidt

Student:

Juliana Garrone

Partner:

British Columbia Brain Injury Society

Discipline:

Other

Sector:

Other services (except public administration)

University:

University of British Columbia

Program:

Accelerate

Numerical simulations of cavitation in oil pump and bearings for automotive applications

The hydraulic circuit, including pumps and bearings, has important application in automotive industry. The hydraulic circuits inside the engine block are often affected by the cavitation phenomenon. Cavitation can cause pressure fluctuation inside the fluid circuit and considerably affect the engine workability, durability, and efficiency. This proposal will address the cavitation by modeling the oil flow in vane pumps and bearings and analyze the cavitation using 3D CFD software PumpLinx? (by Simerics Inc.) and 1D GT Suite. The partner organization, Fiat Chrysler Automobiles (FCA), is expected to receive a cavitation evaluation methodology, which can accurately predict the pressure variation and oil leakage in the engine lubrication system. The implemented models and investigation results will be included in the FCA internal database to improve the oil circuit performance of the engine.

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Faculty Supervisor:

Vesselina Roussinova

Student:

Xu Jiaqi

Partner:

FCA Canada

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

University of Windsor

Program:

Immersive Virtual Environment for Dental Restorative Techniques

Dentists and dental assistants are required to complete continuing education. Blue Light’s first technology introduced in 2010 was a patient simulator used for teaching hands-on light curing skills. This technology incorporates a mannequin head, expensive electronics and required an in-person course which is less desirable in the current covid-19 landscape. Exploring other mediums to deliver required educational training will be important over the next foreseeable future. Virtual reality (VR) and augmented reality (AR) are two such immerging mediums and could be delivered directly to the user mitigating the need to travel. Since the hands-on aspect is important for developing dental skills, AR represents a step into the future of dentistry. This platform may be utilizing for didactic training and professional training at different levels of expertise transforming the practice of dentistry as we know it.

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Faculty Supervisor:

Nadja Bressan

Student:

Eagan James Boire

Partner:

BlueLight Analytics

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Prince Edward Island

Program:

Accelerate

Intelligent Energy Management for Production Facilities with Robotics Automation [IEMPRA]

This project shows the possibility of decreasing the power consumption of Industrial robotics. Design methodology for Intelligent Energy Management for Production Facilities with Robotics Automation [IEMPRA] is proposed to Cherkam, by predicting the energy consumption over the energy model, which delivers a guide to enable energy-efficient approaches. The total energy consumption is evaluated using ML and optimization of the robotic is described to propose a design interfaces with robotics and automation systems. Following, with design real time co-simulation for the integrated energy system, and the development of the control strategies and system, and for the design hybrid energy System. It is also incorporated with the real time optimization of energy consumption with LCC, and key performance indicators analysis. The optimal result of the project [IEMPRA] reduces the power consumption, the associated cost, and lowering the environmental pollution.

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Faculty Supervisor:

Hossam Gaber

Student:

Amleset Kelati

Partner:

Cherkam

Discipline:

Engineering

Sector:

Other

University:

Ontario Tech University

Program:

Accelerate

A Hybrid Photogrammetric/Tacheometric Device for Measuring Planar Building Facades

This project aims to produce a prototype low-cost device and accompanying software for taking many measurements of buildings quickly and easily. It is anticipated to have accuracy similar to an expensive surveying tool, but with less possibility of being thrown out of alignment in such a way that it will produce inaccurate measurements. It should also be a fraction of the cost. This device will help make it possible to manufacture energy-efficiency retrofits for buildings in a factory, meaning that they will be cheaper and have less impact on the building’s inhabitants. These kinds of retrofits are likely to be important in the future as climate-change mitigation efforts like carbon-pricing come into effect.

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Faculty Supervisor:

Eleni Stroulia

Student:

Logan Gilmour

Partner:

Gilmour Vision Corp.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Multiplexed quantitative proteomics approaches to characterize residual host cell protein impurities in biopharmaceutical processing

Many drugs, such as those made of antibodies, are produced using cells from bacteria and other organisms. Companies such as BioVectra use this approach to produce antibody drugs efficiently and cost-effectively. At the end of the production process, residue such as protein from the “host” cells (called host cell proteins, or HCPs) must be removed from the antibody. Although methods are currently available to test for HCPs, they do not fully identify all those present. Furthermore, how drug production processes effect what HCPs are present is not known. Here, interns will undertake a project using new methods to determine the amount and types of specific HCPs in left behind in antibody drugs produced in bacteria. These methods will also be used to compare different ways of producing antibody drugs that may limit HCPs. In the end, the application of this approach will allow BioVectra to produce the safest and most efficacious drugs possible for public use.

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Faculty Supervisor:

J. Patrick Murphy

Student:

Beau Blackmore

Partner:

BioVectra Inc

Discipline:

Biology

Sector:

Manufacturing

University:

University of Prince Edward Island

Program:

Accelerate

Classification Education Pilot

The Paralympics are one of the most recognizable promotions of sport for persons with disabilities and the second largest multi-sport event in the world. Classification, or the practice of grouping athletes together based on the impact their impairment has on the sport they participate in, is fundamental to the function of the both the Paralympics and parasport more generally. Parasport participants involved with classification (e.g., athletes, classifiers, and coaches) have often reported their experiences with classification negatively. Importantly, classification experience quality may impact participation in parasport. Increasing participants’ knowledge of classification may positively influence their classification experience; therefore, this project aims to increase our understanding of how participants learn about classification and what resources are available to support them in doing so. Following this, an educational resource will be developed, delivered, and evaluated. This project may advance our understanding of parasport and result in the creation of an evidence-based tool to be used by Canadian sport organizations to teach participants about classification.

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Faculty Supervisor:

Amy Latimer-Cheung

Student:

Janet Lawson

Partner:

Canadian Paralympic Committee

Discipline:

Kinesiology

Sector:

Arts, entertainment and recreation

University:

Queen's University

Program:

Accelerate

A comparison of the geology of stratabound high grade V, Ni, Mo, and PGE mineralization at the Rod property Yukon Territory and other highly metalliferous shales in Yukon and China.

In this project the intern will preform detailed geological mapping and where available drill core logging at a series of sites of known highly metalliferous shales in the Yukon Territory and Northwest Territories. This will be followed by detailed reflected and transmitted light optical microscopy. Select samples will be further analysed using scanning electron microscope. This will allow comparisons of these less well understood occurrences (Rod, Van, Harvest, Harlot, and Harlow properties) with the better understood occurrences elsewhere in Yukon and China. This will facilitate construction of a geological model that will aid in future target generation and exploration. It will also provide a sample set for detailed geochemical analysis that will be the basis of the interns MSc dissertation.

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Faculty Supervisor:

Daniel Gregory

Student:

Daryll Bien Concepcion

Partner:

Strategic Metals Ltd

Discipline:

Geography / Geology / Earth science

Sector:

Other

University:

University of Toronto

Program:

Accelerate

Use of floral phenology to estimate canola seed yield using satellite imagery

Canola is an important oilseed crop grown across Saskatchewan for its high quality oil. Canola has a very distinct reproductive stage due to its yellow color flowers. Therefore canola fields can be very clearly identified when observed through satellites with medium resolution. This leads to numerous potential applications, and one such application is in-season canola yield prediction. There are freely available satellite platforms which has a resolution of about 3-4m and therefore is useful in extracting valuable information such as flowering intensity. These traits can be quantified through remotely sensed images and can be used to develop models to predict yield. Predicting yield during the season helps managers, consultants and farmers to make important decisions regarding their produce.

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Faculty Supervisor:

Steve Shirtliffe

Student:

S. M. Hansanee M. Fernando

Partner:

CropPro Consulting

Discipline:

Forestry

Sector:

Agriculture

University:

University of Saskatchewan

Program:

Accelerate