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

System Engineering Methodology for Implementation of Networked Aircraft Control Systems on Distributed Integrated Modular Architecture

Bombardier started a few years ago the development of new architectures for aircraft control systems in a of a larger Internal R&D activity named XDIMA: Highly Integrated Control Systems on Distributed Integrated Modular Architecture. The main hurtle along this activity has been the increase in complexity which requires changes of best engineering practice. One of the main objectives of the proposed R&D project is the definition and evaluation of a novel approach to complex systems design: Model Based Systems Engineering (MBSE). MBSE will be used to explore new Aircraft systems Architectures. This methodology will help in particular at coping with the complexity of the integration of several real-time embedded Control systems of mixed criticality addressing the challenges of using shared processing and networking resources. The sub-project focuses on methodology development for the optimization of control function assignment on an existing architecture for the use case of the environmental control system.

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Faculty Supervisor:

Susan Liscouet-Hanke

Student:

Prince Mathew

Partner:

Bombardier Aerospace

Discipline:

Engineering - mechanical

Sector:

Aerospace and defense

University:

Program:

Accelerate

Evaluation Capacity Network: Aligning Evaluative Thinking and Practice among Early Childhood Stakeholders

This project aims to provide evidence and research support to BGCBigs in the implementation of their Building an Evaluation Framework and Capacity for Sustainability project. BGCBigs recognizes that achieving their goal of ‘supporting our children and youth on the path to success’ depends upon an organization committed to evaluative thinking, learning and utilization of evidence for decision-making. This project will enable BGCBigs to conduct quality evaluations and use evidence to improve programs for children and youth. Non-profit organizations do not always have the resources, expertise, time, or capacity to develop comprehensive evaluation plans or to build evaluation capacity. TO BE CONT’D

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Faculty Supervisor:

Rebecca Gokiert

Student:

Chelsea Durber

Partner:

Boys and Girls Clubs Big Brothers Big Sisters of Edmonton and Area

Discipline:

Education

Sector:

Medical devices

University:

Program:

Accelerate

Linking avalanche danger ratings to the conceptual model of avalanche hazard

Avalanche Canada and Park Canada publish avalanche bulletins daily to provide backcountry users with information on avalanche hazard. Since 2010, Canadian bulletins follow the recently developed conceptual model of avalanche hazard (CMAH), which describes the key components of avalanche hazard and how to combine them into an overall assessment. However, the CMAH does not provide guidance on how hazard assessments relate to danger ratings on the North American Public Avalanche Danger Scale, a crucial tool for avalanche risk communication and a central component of avalanche bulletins. The lack of this link makes danger ratings vulnerable to forecaster error and biases. The aim of this study is to provide an explicit, quantitative link between CMAH assessments and danger ratings. A variety of supervised machine learning techniques are utilized to establish this relationship based on archived avalanche bulletins from 2009/10 to 2017/18. TO BE CONT’D

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Faculty Supervisor:

Pascal Haegeli

Student:

Taylor Clark

Partner:

Avalanche Canada

Discipline:

Environmental sciences

Sector:

Sports and recreation

University:

Program:

Accelerate

Development of Computer Vision-based Intelligent Control System for Drones

In recent years, the small-scale drones have gained a growing interest in industry and in academia since they are widely available and have many potential applications. The integration of intelligent camera into drone systems broadens the range of potential drone applications and enhances the performance of the drone. However, how to design and implement the computer vision-based control algorithms on the drone with limited computational resources is very challenging. In this project, the university team and the partner organization will work together to develop the computer vision-based control system for the drone system. The results of the project will fulfill the requirements from the company’s drone customer and further improve the competiveness of the company.

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Faculty Supervisor:

Yang Shi

Student:

Chao Shen

Partner:

Altumview Systems Inc

Discipline:

Engineering - mechanical

Sector:

Information and communications technologies

University:

Program:

Accelerate

Strategy and legitimation in blockchain innovations and multisided markets

This research project will work with Canadian start-up 6Sensmatic in two areas: building a digital marketing platform and exploring strategic opportunities related to the blockchain; a digital ledger technology that underpins cryptocurrencies such as Bitcoin. First, the intern will help 6Sensmatic design, develop, prototype and analyze a novel digital marketing platform that will connect firms to social media influencers that can advertise their products. Second, the intern will study the blockchain, an emerging technology that has the potential to replace much of the foundations of our business and governmental systems, and that consequently presents significant opportunities for new companies. The intern will help 6Sensematic identify, evaluate and capitalize upon opportunities presented by blockchain technologies, and undertake research and analysis of how organizations such as 6Sensmatic can integrate this into its existing solutions (including the marketing platform described) as well as investigating new blockchain applications.

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Faculty Supervisor:

Marc-David Seidel

Student:

Christopher Rowell

Partner:

6Sensmatic Inc

Discipline:

Business

Sector:

Information and communications technologies

University:

Program:

Accelerate

Reducing homelessness using direct cash transfers and motivational interventions

This project aims to examine the effect of unconditional direct cash-transfers to recently homeless individuals in Vancouver, BC, Canada. We will conduct a randomized controlled trial to distribute a one-time unconditional $7,500 cash lump sum to 50 recently homeless individuals from shelters in Vancouver. We will also provide a supplementary motivational training for half of the participants. We will also recruit 50 recently homeless individuals as a control group, and half of these participants will also receive motivational training. At 3, 6, 9, and 12 months after the cash transfer, we will follow up with the participants to evaluate the effect of the cash transfer and motivational training. Specifically, we will measure participants’ cognitive function, social connections, housing outcomes, employment outcomes, and health outcomes.

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Faculty Supervisor:

Jiaying Zhao

Student:

Brandon Tomm

Partner:

Freightledger Technologies Inc

Discipline:

Psychology

Sector:

Management of companies and enterprises

University:

Program:

Accelerate

3D RFM SLAM for UAVs Subject to Severe Vibration

The first step for any robot to achieve true autonomy is to create a map of its surroundings and localize itself within this map at the same time. This is popularly known as the Simultaneous Localization and Mapping (SLAM) problem. Although much theory has been developed over the years to solve the SLAM problem, researchers have been having difficulties in real-world application. This is because sensors and actuators onboard a robot are always corrupted by noise. In particular, Unmanned Aerial Vehicles (UAVs) face additional difficulties that land vehicles do not. Because UAVs travel in 3D rather than 2D, additional nonlinearities associated with rotation complicate the SLAM solution. Furthermore, excessive vibration during flight can render sensitive onboard sensors useless. TO BE CONT’D

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Faculty Supervisor:

James Forbes

Student:

Duowen Qian

Partner:

ARA Robotique

Discipline:

Engineering - mechanical

Sector:

Aerospace and defense

University:

Program:

Accelerate

Calculation of the induced voltage between overhead transmission lines and adjacent gas pipelines via electromagnetic transients simulation

The candidate will utilize his knowledge and experience in transmission line modelling to implement test cases required by BC Hydro to validate the results of measured induced voltages between the transmission lines and gas pipelines. The simulations will be performed using well-known computer packages available at power laboratories of the University of British Columbia as well as computer programs written by the candidate to implement the recently developed line model in his PhD work. Simulation results will be compared with the measurements. In case of agreement between these results, BC Hydro will be able to use the confirmed data and standards for strengthening the shielding of gas pipelines for a better protection against corrosion.

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Faculty Supervisor:

Jose Marti

Student:

Arash Tavighi

Partner:

BC Hydro

Discipline:

Engineering - computer / electrical

Sector:

Energy

University:

Program:

Accelerate

Assessing options for the regulation of non-medical drug use in Canada: a systematic literature review

Canada is in the midst of an unprecedented overdose crisis, with 922 people dying of overdose in the province of British Columbia in 2016. Pivot Legal Society has a mandate to represent drug users and advance their hu-man rights. It is embarking on a project to bring together drug policy experts across Canada and around the globe to propose regulatory models for all currently illicit substances. As preparation, Noah Quastel will collect and review academic literature, government reports, and community-based publications regarding alternatives to criminal law as a mechanism for regulating the non-medical use of drugs. He will create a report that summa-rizes and synthesizes literature in this area, as well as map the positions, and points of contention between Ca-nadian stakeholder groups.

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Faculty Supervisor:

Nicholas Blomley

Student:

Noah Quastel

Partner:

Pivot Legal Society

Discipline:

Geography / Geology / Earth science

Sector:

Management of companies and enterprises

University:

Program:

Accelerate

Statistical Machine Learning Framework in Retention and Attrition Modelling

Customer or member retention refers to the ability of a company to retain its customers, and customer attrition, as the counterpart of customer retention, refers to the loss of customers. Developing a more accurate and comprehensible predictive model can help companies like Servus better understand member retention and attrition.
This project is aiming at using statistical machine learning methods to find the members with high-level leaving risk from the existing members of Servus, and then using even more advanced methods to analyze the influence of targeted offers on member retention and attrition. In the end, a final operationalized model on increasing member retention and reducing member attrition will be built up and can be used by business intelligence team for ongoing campaigns in Servus.

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Faculty Supervisor:

Linglong Kong

Student:

Xi Hu

Partner:

Servus Credit Union Ltd

Discipline:

Mathematics

Sector:

Information and communications technologies

University:

Program:

Accelerate

Conceptual Design of New Nuclear Waste Container

Ultra-High Performance Fiber Reinforced Concrete (UHP-FRC) material, can be considered a promising way to innovate in the management of Low and intermediate level radioactive waste (LILW) storing industry. UHP-FRC exhibits exceptional mechanical, serviceability, and durability characteristics in comparison to its traditional concrete counterparts. The current proposal focuses on the use of UHP-FRC in a new design of high integrity nuclear waste containers considering drop-impact and fire effects. The conceptual design of waste container will be performed using ABAQUS software. The drop-impact will be performed based on realistic drop heights and orientations of the storage facility and its handling systems provided by Master Peers. Complete material behaviour of UHP-FRC is considered in order to take the advantage of enhanced post-peak capacity. Thereafter, the final design of the container will be optimized under fire effect.

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Faculty Supervisor:

Hesham Marzouk

Student:

Hesham Othman

Partner:

Master Peers Ltd

Discipline:

Engineering - civil

Sector:

Advanced manufacturing

University:

Program:

Accelerate

Preclinical proof of concept study evaluating PBI-4050 and analogs as potential treatments in the context of ischemic cardiomyopathy

The ability to impede/reduce complication of the damaged heart presents a major challenge in the treatment of cardiovascular diseases. Complications include heart failure, which has a high mortality even with current treatments. The use of a new drug to stimulate protection of the heart during an ongoing myocardial infarct and long term changes leading to heart failure would be very relevant to the clinical setting, to help patients suffering from diverse heart problems. Our proposed treatment with PBI-4050, and other small molecules under investigation, presents an innovative pharmacological treatment to reduce damages and complications caused by myocardial infarct. With strong preliminary data supporting our hypothesis, our team will develop and optimize this novel therapy in relevant experimental models, for eventual translation to human use.

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Faculty Supervisor:

Nicolas Noiseux

Student:

Henry Aceros

Partner:

ProMetic Biosciences

Discipline:

Medicine

Sector:

Pharmaceuticals

University:

Program:

Accelerate

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