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

End of Life Studies of Coated Cathode Materials for Lithium Ion Batteries

Electric vehicles have been adopted around the world as an alternative to combustion engine vehicles. It has been a focus for academic and industry research efforts to develop battery materials with reduced cobalt, but the removal of cobalt comes at a cost. Reduced cobalt often decreases the stability of these materials. Further improvements to the power and stability of materials with reduced amounts or no cobalt will require establishing scalable methods for incorporating custom coatings. This partnership will enable a further evaluation of large-scale techniques (e.g., kg scale syntheses) to prepare coated battery materials, including assessing their stability after their use within batteries.

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Faculty Supervisor:

Byron D Gates

Student:

Kelsey Duncan

Partner:

Nano One Materials Corp

Discipline:

Chemistry

Sector:

University:

Program:

Accelerate

Production Planning and Optimization in Eden Valley Poultry

Eden Valley Poultry (EVP) is one of the main suppliers of chicken products in Atlantic Canada with 10.3M broilers and turkeys processed in 2018. Currently, the EVP planner manually manages various factors that contribute to the selection of barns for broiler pick up to be processed every day. This research proposal aims to improve the current procurement planning process by finding a way to optimize the procurement planning of broilers and turkeys processed in the EVP’s plant. For this to happen, mathematical programming techniques will be utilized extensively and novel solution approaches that combine heuristics and exact solution techniques will be developed to deal with the large-scale models. The outcomes of this research project are expected to enable the company to improve its order fulfillment, improve efficiency and productivity, and thereby enhance its competitiveness in the market.

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Faculty Supervisor:

Ahmed Saif;Hassan Sarhadi

Student:

Kenneth Dolson

Partner:

Eden Valley Poultry

Discipline:

Engineering

Sector:

Manufacturing

University:

Program:

Accelerate

Acoustic Emission Testing of Fibers Exposed to Different Environmental Conditions

This research project investigates methods for detecting damage and breakage in fibers used in fiber-reinforced polymer composite pressure piping. Of primary interest is Acoustic Emission (AE) technology to isolate and identify damage types and corresponding AE features for fiber reinforcement rupturing when exposed service loads and different environmental conditions. Sound signals produced by fiber rupture shall be detected, recorded, and analyzed. In this context, the design and manufacture of suitable fiber specimens shall be undertaken, followed by controlled experimental testing applying different loading scenarios. Identifying and characterizing different types of AE signals related to fiber damage will conclude the project.

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Faculty Supervisor:

Pierre Mertiny

Student:

Hadi Nazaripoor

Partner:

Shawcor

Discipline:

Engineering - mechanical

Sector:

University:

University of Alberta

Program:

Accelerate

Investigation of the effect of UV-LEDs on plant secondary metabolites

We wish to explore methods to make indoor plant growth more efficient. In many industries (especially the herb and vegetable greenhouse business), industry uses inefficient lighting options because they seek to supplement the visible light spectrum with UV wavelengths. We propose to use LED lamps that include UV bulbs to test whether this lamp will be a benefit to indoor growers.

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Faculty Supervisor:

Leslie G Campbell

Student:

Jeffrey Pau

Partner:

AgricUltra

Discipline:

Biology

Sector:

Agriculture

University:

Ryerson University

Program:

Turbulence flow mapping and wave interactions in the tidal channels of Bay of Fundy

Tidal energy takes advantage of water movement due to tides. To extract this energy from places like the Bay of Fundy (NS), turbines similar to a wind turbine but smaller are installed directly under water, not needing a dam. To design the turbines, engineers need to know how the water moves. On the other hand, we need to know how extracting this energy affects the environment. In this project we will study how fast the water moves, how turbulent it is, and how the flow behavior changes when turbines are underwater and extracting energy in two tidal channels within the Bay of Fundy, Grand Passage and Petit Passage.

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Faculty Supervisor:

Alex Hay;Richard Karsten

Student:

Maricarmen Guerra-Paris

Partner:

Luna Ocean Consulting Ltd.

Discipline:

Oceanography

Sector:

Professional, scientific and technical services

University:

Program:

Using wearable sensor-based technologies to detect changes in health status for prevention of adverse health events and to improve overall quality of life – Year two

The project goal is to determine the clinical utility of Orpyx LogR technology to detect gait changes and their efficacy to predict and monitor fall risk. Project I will use existing data to determine sensitivity and specificity for prospective classification of fallers and non-fallers for a composite measure drawn from an extensive battery including single and/or dual-task IMU-derived gait metrics as well as from force plate gait initiation data. Respectively, Project II and III will concurrently provide validation of Orpyx LogR technology measurements and then determine sensitivity and specificity for retrospective and prospective classification of fallers and non-fallers for a composite measure drawn from a battery including clinical tests of dynamic balance and Orpyx LogR derived measures including postural sway during quiet stance, as well as gait measures during gait initiation and single and/or dual task walking. Project IV will use will use custom algorithms to develop client-specific models of fall prediction incorporating relevant measures identified in Project II. These measurements of gait and balance can act as biomarkers to provide early detection of changes in health status. Providing timely information to caregivers about changes in health status will allow for appropriate interventions with potential to mitigate adverse health events.

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Faculty Supervisor:

Marc Klimstra;Sandra Hundza

Student:

Drew Commandeur

Partner:

ORPYX Medical Technologies Inc.

Discipline:

Physics / Astronomy

Sector:

Manufacturing

University:

University of Victoria

Program:

Elevate

Development of Emergency Response Technologies and Eco-Rehabilitation Framework for Brine Spills

Brine water produced in the mineral extraction process can cause heavy damage to soil and biota when the brine water is spilled during storage and transportation. The damage from spilled brine water can spread rapidly and last for decades, affecting groundwater, ecological security, and human health. In addition, the value of the damaged land will be impacted by this chain reaction and can inflict a huge economic loss to a mining enterprise in land transaction. This project is an opportunity to develop and apply suitable and cost-effective on-site emergency response technologies using an eco-rehabilitation framework for successfully resolving brine spill problems.

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Faculty Supervisor:

Gordon Huang

Student:

Mengna Li

Partner:

MOSAIC

Discipline:

Environmental sciences

Sector:

Other services (except public administration)

University:

University of Regina

Program:

Accelerate

Developing a mobile screening tool that could predict impairment by leveraging the power of machine learning models

There is a growing need for law enforcement agencies and safety sensitive workplace environments to be able to evaluate impairment. Impairment due to mental cognitive deficits, drugs or alcohol use, prescription medications, or fatigue could all limit a person’s ability to perform a hazardous task safely.
Current testing tools utilize saliva, breath, blood or urine to measure levels of substances that may impair a person’s judgement. These types of tests are invasive, and in many cases not reliable. Ingested cannabis for example does not have the same effect as smoked cannabis, and current testing techniques are not adapted for both.
To date, 126,000 real-world assessments have been performed by DriveABLE on legacy proprietary testing hardware. Machine learning is being applied to the results of the assessments to gain a deeper understanding of cognition in the context of complex human behavior. A screening tool will be developed and tested, leveraging mobile platforms such as tablets and phones, making it accessible where it is needed most. A core component to meeting this objective will be leveraging the skills of mobile game developers to help with the development of 4 proprietary cognitive tasks based on existing real-world assessments.

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Faculty Supervisor:

Steve Chattargoon

Student:

Marshall Clowater;Christopher Popowich

Partner:

DriveABLE Inc

Discipline:

Medicine

Sector:

Professional, scientific and technical services

University:

Northern Alberta Institute of Technology

Program:

Accelerate

Network security and machine learning development projects

The main objectives of this one-year study are to enhance systems in data management and integration in three ways: 1) create secure networks that can support BYOD; 2) create a data pipeline system for ETL; and 3) integrate ML content generation into a content management system. An Agile methodology will be used to plan and implement the projects on which the interns will work. This approach is widely used in software development and is based on collaboration, continual improvement and adaptation.

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Faculty Supervisor:

Steve Chattargoon

Student:

Patricia Borlongan;Maksym Kononenko

Partner:

AltaML

Discipline:

Medicine

Sector:

University:

Northern Alberta Institute of Technology

Program:

Accelerate

Mechanical design of prototype down hole products, test rigs and manufacturing equipment for oil and gas sector

Down hole tools in the oil and gas (O&G) industry has long been used to increase the oil recovery and limit unwanted products like water, sand and steam. RGL is a world leader on both Sand control and Flow control products, with a focus on technology driven solutions. Various sand screens, slotted liner designs, flow control devices and shifting tools are in development in the engineering and research group. A critical understanding of the science behind the measured phenomena is pursued with fundamental research in partnership with the UofA. Applied research is conducted in house through the proLAB team, and once the research is taking shape in the form of a product, the Engineering services team engage to design and develop the product, the manufacturing methods and equipment and the process documentation.
The aim of this project is to engage students, skilled with drafting and design capabilities, to grab hold of a specific product or research area and develop the opportunity into a commercialized product, or improve the equipment and process through design changes, under the supervision of the lead Mechanical Engineer.

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Faculty Supervisor:

Alex Shum

Student:

Ryan Plamondon

Partner:

RGL Reservoir Management Inc.

Discipline:

Engineering - mechanical

Sector:

University:

Northern Alberta Institute of Technology

Program:

Accelerate

Translational Oncology Research Data Analysis and Quality Assurance

The proposed project seeks to better understand and study the effective application of data processing tools and quality assurance systems in clinical research. Data from clinical trials is crucial in the pharmaceutical industry because it provides indicators of safety and efficacy of drug treatments for patients. However, processing and reporting on the large amounts of data available has become increasingly difficult, especially for organizations that run complex trials in an international setting. The project will develop customized reports with MediData digital platform and test their implementation.
The secondary goal of the project will be to research and support the development of a coordinated quality assurance system compliant with Good Clinical Practice (GCP) guidelines. The project will both support the development and test the quality control system that address the needs of a global clinical research organization. The quality control system developed as part of the project will be compatible with the MasterControl digital platform.
The project’s methodology will include literature review, data collection and review in order to answer the research questions and achieve project objectives.

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Faculty Supervisor:

Steve Chattargoon

Student:

Emily Thomas

Partner:

TRIO

Discipline:

Medicine

Sector:

Professional, scientific and technical services

University:

Northern Alberta Institute of Technology

Program:

Accelerate

Investigating the affect of chlorine carbides on fracture toughness in zirconium alloys used for nuclear applications

Zirconium alloys are used extensively in nuclear reactor cores for key components such as fuel assemblies and pressure tubes. It is extremely important that the in-service behavior of these components is well characterized to ensure they remain fit-for-service. This work will investigate the relationship between harmful impurity elements, specifically chlorine, and the fracture toughness of a zirconium alloy, Zr-2.5Nb. It is known that chlorine results in the formation of tiny precipitates, which are particularly damaging because they tend to cluster and form elongated voids, termed fissures. Despite there significance there is a lack of mechanistic understanding concerning the formation of fissures, which this fellowship aims to remedy. The work is a collaboration with Canadian Nuclear Laboratory (CNL) who support the Canadian nuclear industry through their expertise on the in-reactor behavior of core components. This fellowship will be mutually beneficial to Queen’s University and CNL as Queen’s University is home to a new state-of-the-art nuclear materials characterization suite; and will be the centre of the bulk of the research carried out as part of this work. This will allow for high-impact publications and a more thorough understanding of the effect of chlorine on the fracture toughness Zr-2.5Nb

View Full Project Description
Faculty Supervisor:

Mark Richard Daymond

Student:

Matthew Leslie Topping

Partner:

Canadian Nuclear Laboratories

Discipline:

Engineering - mechanical

Sector:

Professional, scientific and technical services

University:

Queen's University

Program:

Elevate

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