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

Developing Intelligent Approaches for Factories of the Future – An intelligent strategy for robotic part inspection in advanced manufacturing

Human inspection of high quality components in advanced manufacturing, automotive and aerospace applications is challenging, as detecting imperfections that are variable can result in inconsistent part quality decisions. These inspection tasks are very repetitive. Achieving zero incorrect part quality decisions that are required in high tolerance assembly, as well as in critical process operations becomes almost impossible for humans to perform. Currently, robotic systems are being used at various stages of producing parts, as well as in the final stages of manufacturing such as part removal, stacking and other finishing operations. This has resulted in improving overall efficiencies throughout the part production cycle. Robots are being used for quality inspections, and is in its embryonic stage. Robot operators perform time consuming repetitive setups and path planning of its motion to execute these inspections. This inspection procedure has to be repeated for different dimensional parts and quality metrics. TO BE CONT’D

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Faculty Supervisor:

Rickey Dubay

Student:

Ricardo Bautista Quintero

Partner:

Eigen Innovations Inc.

Discipline:

Engineering - mechanical

Sector:

Advanced manufacturing

University:

Program:

Elevate

Research and Policy Analysis for the Arctic Sustainable Energy Futures Toolkit Project

The Arctic Sustainable Energy Futures Toolkit will be a print and web-based guide for communities to follow when developing their comprehensive community energy plans. This step-by-step toolkit will transfer knowledge using best practices, resource guides, case studies, videos, worksheets, and templated pathways to help communities create and implement their energy visions. In addition, the Toolkit will provide resources to increase energy literacy and capacity for community members build bridges between communities and agency officials and subject matter experts, and create a network of circumpolar community energy leaders.

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Faculty Supervisor:

Greg Poelzer

Student:

Jenna Gall

Partner:

Lumos Energy

Discipline:

Environmental sciences

Sector:

Aboriginal affairs

University:

Program:

Accelerate

Deep Networks for Perceptual Image Quality Assessment for IRYStec Perceptual Display Platform

As most imagery is ultimately displayed to humans via physical display panels under a variety of viewing conditions, it is important to evaluate the quality of perceived imagery in addition to the quality of digital imagery alone. Conventional Image Quality Assessment (IQA) methods typically do not consider the variety of viewing conditions and make generalized assumptions about the viewer. The currently proposed research thus intends to define a method to evaluate the quality of displayed imagery, while considering various viewing conditions and the characteristics of the viewer. IRYStec’s Perceptual Display Platform (PDP) software adapts the viewing experience of displayed imagery via image processing performed in accordance with the characteristics of the surrounding environment, the image content, and the viewer. IRYStec plans to use the developed solution to evaluate the quality of imagery produced by their image processing algorithms.

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Faculty Supervisor:

James Clark

Student:

Andrei Chubarau

Partner:

Irystec Software Inc

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Program:

Accelerate

Mapping blood brain barrier permeability- towards a novel biomarker for psychiatric disorders

Research into brain diseases has until recently focused on neurons, but in the last several decades, blood vessels have taken a new spotlight. When blood vessels are damaged, substances can leak from the blood into the brain. Such leak can affect memory and mental health, but surprisingly, its impact on psychiatric disorders has yet to be studied in detail, largely due to lack of technology to map leaky blood vessels in living patients. Recent advances in MRI technology and computer processing power offer new avenues for solving this issue, allowing us to track blood flow and identify affected brain regions and their role in brain disorders.
In this project, we are developing novel computational methods to automatically analyze brain scans and produce detailed mapping of the regions affected by blood leakage. We are also creating algorithms to see whether leakage corresponds to abnormal patterns of brain activity. TO BE CONT’D

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Faculty Supervisor:

Steven Beyea

Student:

Lyn Kamintsky

Partner:

EMAGIX Inc

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Accelerate

Determining the Social and Legal Context that Contributes to the Successful Deployment of CCS Projects

The Paris Agreement spelled out an ambitious goal to limit global warming to well below 2 degrees Celsius above pre-industrial levels. The IEA recognizes that the gap between the goals of the Paris Agreement and efforts on the ground looms large. Carbon Capture and Sequestration is recognized by climate modelers as necessary to meet the Paris commitments in a cost effective manner. However, progress in deploying CCS technology has been slow. Barriers to CCS technology have been well documented by academic literature, however, there is less known about emerging successful CCS deployment (for example at the Boundary Dam Plant in Saskatchewan, the Petra Nova CCS plant in Texas and the Shell Quest project in Alberta). This research seeks to understand the legal and social context that has contributed to this successful CCS deployment. TO BE CONT’D

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Faculty Supervisor:

Margot Hurlbert

Student:

Osazuwa Osayomwanbor

Partner:

International CCS Knowledge Centre

Discipline:

Public administration

Sector:

Alternative energy

University:

Program:

Accelerate

Mechanical characterization of valve compression packings at high temperature

The leak tightness of valves, compressors and pumps is ensured by packed stuffing-box systems. The most critical element of this assembly is the compressed braided rings called packings. These packings are compressed axially to produce lateral contact pressures large enough to confine the fluid within process vesse1s and pipe segments. The mechanical properties of the compression packing material are the main factors affecting fluid-tightness at room and high temperature and yet there is little or no data available in manufacturer’s catalogues or in the literature. lt is proposed to measure the mechanical properties such as compression modulus, Poisson’s ratio, pressure transmission ratio, short-term creep deformation and thermal expansion coefficient of packing materials. This project initiative will hopefully serve as a basis to launch a North American testing program to develop ASTM-like lasting procedures for compression packing.

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Faculty Supervisor:

Hakim Bouzid

Student:

Xavier Legault

Partner:

Garlock

Discipline:

Engineering - mechanical

Sector:

Advanced manufacturing

University:

Program:

Accelerate

Modelling the use of landscape features by caribou to guide the restoration of mine sites

Central mountain populations of woodland caribou (Rangifer tarandus caribou) have been in decline due to logging, mining, and gas development within their range and are designated as Threatened under Schedule 1 of the Species at Risk Act. This project will develop a caribou habitat restoration model (CHRM) for the Quintette Mine located in British Columbia. The Quintette Mine once comprised of alpine ecosystems that supported caribou; however, caribou no longer use the areas altered by mining. As part of the mine reclamation plan, steep slopes will be re-contoured to improve access and foraging opportunities for caribou. Using geospatial data and previous literature, the model will predict how caribou may use the mine site under future re-contouring scenarios to identify priority restoration areas. This model will guide future reclamation activities that facilitate the recovery of alpine ecosystems and encourage re-use of the mine site by caribou.

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Faculty Supervisor:

Douglas Ransome

Student:

Heather Short

Partner:

Stantec Consulting Ltd.

Discipline:

Environmental sciences

Sector:

Environmental industry

University:

Program:

Accelerate

Multiscale In-Silico Screening of OLEDs: Simulating the Formation of Organic Glasses and Computation of Optoelectronic Properties

Organic light emitting diodes (OLEDs) are thin layers of organic chemicals with that emit light. As a novel form of technology, OLEDs can be used to manufacture flexible and ultrathin visual screens for mobile phones and televisions. They are extremely efficient; they produce very bright lights while producing very little heat. Designing better and cheaper OLED technologies requires that we understand the structure, behaviour and properties of OLEDs at the molecular level. As of now, this is a work in progress. This project seeks to develop an integrated collection of computer programs that can simulate the way in which OLEDs form and predict how efficiently they convert electricity into light. Our grand objective is to have a sophisticated piece of software that can analyse thousands of molecules to see predict the ones that can produce the “best” OLED.

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Faculty Supervisor:

Artur Izmaylov

Student:

Rami Gherib

Partner:

OTI Lumionics Inc

Discipline:

Environmental sciences

Sector:

Advanced manufacturing

University:

Program:

Accelerate

Interface and Data analysis for a Bridge Structural Health Monitoring System (SHM)

The world has many ageing bridge structures which are being used well beyond their design service life time. It is of essential interest for the governments and public to insure safety and sustainability of bridges. One of the most advanced techniques used to investigate the conditions of bridges is the Structural Health Monitoring (SHM). The targeted bridges will be instrumented with several sensors and the data collection is performed using appropriate Data Acquisition System (DAQ). Several software and algorithms are used to stream the data life to the cloud and perform analysis on the data to extract the vital signals of the bridge. Decision is made after that based on the health condition of the bridge)

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Faculty Supervisor:

Aftab Mufti

Student:

Basheer Algohi

Partner:

Intelligent Structures Canada Inc

Discipline:

Engineering - civil

Sector:

Management of companies and enterprises

University:

Program:

Accelerate

Exploring Symbolic Techniques for Fast Robust Nonlinear Model Predictive Control of Autonomous Vehicles

The goal of this project is to design computationally-efficient solvers that can be used for autonomous vehicle control developments. Because autonomous cars have complex mathematical models, it is usually hard to perform their necessary control computations on-line and when the vehicle is running. Therefore, it is required to come up with much faster solvers for their controllers. At the end of this project, the developed control methods will be tested on an accurate simulation platform to evaluate their performance and robustness in realistic scenarios. The partner organization will add the developed method to their resources to improve its capabilities. Moreover, Intern will generate webinars and whitepapers that the organization partner will use for marketing purposes.

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Faculty Supervisor:

Nasser Lashgarian Azad

Student:

Bijan Sakhdari

Partner:

MapleSoft Inc.

Discipline:

Engineering

Sector:

Automotive and transportation

University:

Program:

Accelerate

Feasibility Assessment and Development of Knowledge, Technology, and Tools for Reliable Hydrogen Injection into Natural Gas Delivery Systems

To reduce their carbon footprint, FortisBC Energy Inc. is investigating the possibility of injecting hydrogen into their natural gas distribution network. Prior to adopting this change, a comprehensive feasibility assessment and development of tools to support the hydrogen injection is required. This includes investigating the effects of hydrogen on existing gas distribution infrastructure, end-user appliances and equipment. Successful execution of the project will enhance FortisBC’s sustainable energy portfolio and support the pursuit and implementation of green technologies.

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Faculty Supervisor:

Lukas Bichler

Student:

Shahriar Anaraki

Partner:

FortisBC Energy Inc - Kelowna

Discipline:

Engineering

Sector:

Energy

University:

Program:

Accelerate

Application for bacteriophage encapsulation in biodegradable polymers for the prevention of prosthetic joint and suture infections

The aim of this project is therefore to develop polymer-based formulations of bacteriophages to combat microbial infections. Bacteriophages are a class of viruses specific to bacteria that are not subject to antibiotic resistance and are the most prevalent organisms of the human virome, and therefore safe.2 We will use different polymer compositions and blends to create novel bacteriophage formulations that are designed for use in medical applications, particularly in the use of surgical materials such as orthopedic implants and sutures. The polymers used for these formulations will be selected have stimuli-responsive properties; thermal responsiveness properties, in particular, are of interest for biomedical applications due to predictable changes in temperature upon contact with the patient’s body. The use of phages, does however present some challenges, mostly due to the stability of the phages that is lesser than traditional antimicrobial small molecules. TO BE CONT’D

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Faculty Supervisor:

L'Hocine Yahia

Student:

Eric Habib

Partner:

Phagelux

Discipline:

Engineering - biomedical

Sector:

Life sciences

University:

Program:

Accelerate

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