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

Validation of a Metabolite Profile for Diagnosis of Peripheral Arterial Disease (PAD)

Peripheral arterial disease (PAD) is caused by changes in the wall of the blood vessels of the legs that make them narrow and stiff. The main causes of PAD are atherosclerosis and smoking. Unlike many other diseases, there is no blood test that is capable of detecting PAD. Instead, persons have to be referred by their doctor and they must go to a specialized clinic where an hour long ankle-brachial (ABI) test is performed.
Koven wants to develop a simple and reliable blood test that can detect PAD. The project described in this application is intended to complete the next phase of the diagnostic kit development by confirming which blood compounds would be the best to use and then determining the best way to measure them. Once completed, this blood test will make diagnosis of PAD less costly and easier to access.

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Faculty Supervisor:

Peter Zahradka

Student:

Youjia Du

Partner:

Koven Technology

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Accelerate

Characterisation of Millimeter-Wave Power Amplifiers and Application of Novel Digital Predistortion Techniques

To pave the road towards the upcoming 5th Generation of telecommunication standards (5G), we aim to develop a fully integrated solution satisfying the increasing requirements in terms of wide bandwidth, small footprint, and high-power efficiency. Initially, we prepare a fully automated setup to characterize the Gallium Nitride (GaN) Power Amplifiers (PA) considered as key components for 5G millimeter-wave frequencies transmitters. However, PAs are prone to saturation at high power which compromises their power efficiency and signal quality also known as linearity. The characterization of the GaN PA will enable us to develop a scalable and efficient linearization techniques applicable to 5G signals. This is achieved through synthesizing suitable Digital Predistortion (DPD) models and the application of signal processing techniques to reduce the DPD complexity and optimize its implementation on hardware. Subsequently, the DPD solution is implemented on the Analog Devices Radio Verse 9009 platform. TO BE CONT’D

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Faculty Supervisor:

Fadhel Ghannouchi

Student:

Anis Ben Arfi

Partner:

Analog Devices

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Program:

Accelerate

Are bat boxes as artificial roost structures a threat mitigation tool or can they impede population recovery?

Bats are a crucial part of healthy ecosystems, providing vast economic benefits through control of forest, agricultural and human pest insects (including mosquitoes!). Unfortunately, bat populations face many threats, including an exotic fungus causing white-nose syndrome, which is lethal to bats. It is important to understand how we can enhance bat habitats so they can successfully raise young – an essential part of maintaining or recovering populations. Our proposed work will support a MSc student who will compare maternity colonies in the Okanagan and Kootenay regions of BC. We will record bat numbers and reproduction, and the environments in different roost types; these data will help us to identify the most important characteristics of maternal roosts. Our partner, Wildlife Conservation Society Canada, has identified this research as a high priority in their conservation plans for bats. Our results will be shared with researchers, government managers, and non-profit groups interested in bats.

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Faculty Supervisor:

Karl Larsen

Student:

Susan Dulc

Partner:

Wildlife Conservation Society Canada

Discipline:

Resources and environmental management

Sector:

Life sciences

University:

Program:

Accelerate

Total synthesis of anthocyanins for the prevention of cognitive decline

Alzheimer’s disease (AD) is an age-related neurodegenerative disease affecting more than >45 million individuals worldwide with numbers expected to reach >135 million by 2050. The multifactorial nature of AD hinders the development of therapeutic treatments and, as such, several drug candidates have failed in clinical trials. Polyphenolic compounds have the ability to reach the brain and target the multifactorial aspects of AD. Recently, a specific formulation containing four different polyphenols from the anthocyanin family (MAF14001) has been revealed as a promising formulation for preventing cognitive decline. However, the high prices and low availability of anthocyanins hamper the further development and commercialization of MAF14001. The main objective of the research proposal is to develop an efficient and affordable synthetic sequence towards anthocyanins. The developed synthetic process could be used by our industrial partner, Sollertis Pharma, to commercialize anthocyanins-containing formulations such as MAF14001 for the prevention of cognitive decline and/or AD.

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Faculty Supervisor:

Charles Gauthier

Student:

Emmanilo Delar

Partner:

Discipline:

Geography / Geology / Earth science

Sector:

Pharmaceuticals

University:

Program:

Accelerate

Understanding sub-snowpack Carbon Dioxide Flux Measurements made with Eosense’s eosFD chamber

This project will use customer data, and laboratory and field testing to examine and improve the ability of a carbon dioxide flux chamber to measure gas emissions underneath snow in order to provide monitoring of remote, harsh weather environments. Reliable gas emission measurements during the winter could provide Important infonnatlon about climate change.

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Faculty Supervisor:

Shannon Sterling

Student:

Jocelyn Egan

Partner:

Eosense

Discipline:

Geography / Geology / Earth science

Sector:

Environmental industry

University:

Program:

Accelerate

Experimental investigation of dowel laminated panels reinforced with steel threaded bars under weak axis bending

StructureCraft Ltd is a renowned Canadian company for its quality mass timber products and ability to fabricate complex design. The company proposed a new methodology for reinforcing dowel laminated timber panels while the performance is yet to be investigated experimentally. The proposed research here will investigate the performance of this methodology under experimental tests. Both the standard loading and long-term loading conditions will be considered. This research will provide adequate design guidelines to structural engineers so that they can safely use this methodology in dowel laminated timber structures. The results of this study will have a significant effect on the application and optimization of this reinforcing methodology.

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Faculty Supervisor:

Shahria Alam

Student:

Nic Maloski

Partner:

StructureCraft Builders Inc

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

Program:

Accelerate

The effect of changes in the design of a debris-flow barrier on sediment transport and deposition during large floods and debris flows: A physical model of Cheekye River

The project will study the effects of large debris flows in the Cheekye River using simple and low cost physical models, which could be used to study a wide range of problems in geomorphology and river engineering in the future. Here, we will test their performance and write guidelines for their application in BGC’s steep creek assessments. We will also model sedimentation processes upstream of a potential barrier for debris flow mitigation and, although our main interest will be in the Cheekye case, our results will increase BGC’s understanding of problems that are important in their day to day assessments. For example, we will learn about the deposition angle (or profile) upstream of an obstacle, which influences the height needed for an efficient structure in terms of costs and risk prevention.

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Faculty Supervisor:

Brett Eaton

Student:

Maria Alejandra Elgueta Astaburuaga

Partner:

BGC Engineering Inc

Discipline:

Geography / Geology / Earth science

Sector:

Natural resources

University:

Program:

Accelerate

Digital twin framework for modular residential construction systems

In order to address issues with affordable housing, new innovative approaches to construction are being developed which require customized feedback using smart data solutions. This research aims to develop the necessary software and hardware configuration to enable designers to optimize their decision making in design, construction and operations of single-unit and multi-unit residential buildings. The partner organization and intern will utilize an upcoming small-scale residential construction project to learn how best to create a smart data system that can be used to optimize and inform decision making. The result of this research will help the partner organization optimize future designs for large-scale affordable housing solutions. On a broader scale, the results will also benefit the Canadian economy by facilitating affordable housing solutions that have shorter project times, lower costs, and which are optimized to dwelling comfort and overall quality of living.

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Faculty Supervisor:

Carl Haas

Student:

Christopher Rausch

Partner:

Edge Architects

Discipline:

Engineering - civil

Sector:

Construction and infrastructure

University:

Program:

Accelerate

Towards understanding adoption of Carsharing

Carsharing is a service where members have access to a fleet of shared vehicles distributed across a city. Members can book a vehicle when needed, allowing for the convenience of vehicle ownership while reducing the need to own private vehicles. The two primary forms of carsharing are a free-floating or free floating model, where users can pick up and drop off vehicles anywhere inside a service area, and a round-trip or round trip model, where members pick up the vehicle at a specific location and later return it to that starting location. This research will predict the future of carsharing in Vancouver, BC and will inform strategies to enable a more sustainable usage of carshare

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Faculty Supervisor:

Hadi Dowlatabadi

Student:

Rainer Lempert

Partner:

Modo

Discipline:

Environmental sciences

Sector:

Automotive and transportation

University:

Program:

Accelerate

AI based Pointing and Tracking for Satcom Terminals

Aimed at maximizing the antenna signal of the satellite communication (Satcom) terminal in a satellite system, positioning and tracking methods based on AI are studied in this project. This proposal focuses on the issue of a satellite’s pointing and tracking for a stationary Satcom terminal. The detailed methods includes the following four functional components: 1) data filtering and preprocessing of original sensory data collected by Satcom terminal; 2) data error corrections based on multimodal data fusion; 3) direction search to obtain maximum signal strength based on historical data-based learning, and self-learning; and 4) reinforcement learning based optimization of antenna vector to obtain maximum signal strength. The goal is to realize the high accuracy of satellite pointing and optimize the relocation of the Satcom terminal’s antenna for satellite tracking. The target of the proposed AI-enabled self-aligned algorithm is to enable Satcom terminal to achieve industry leading low acquisition time.

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Faculty Supervisor:

Victor Leung

Student:

Jeungeun Song

Partner:

Norsat International Inc

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Program:

Accelerate

Creation of candidate glucocerebrosidase PET imaging agents

Mutations in the enzyme glucocerebrosidase (GBA1) are the most common genetic risk factor for development of Parkinson’s disease (PD). PD is characterized by the buildup of abnormal protein deposits in the brain, followed by progressive loss of neurons and behavioural symptoms. Numerous studies have noted a correlation between reduced GBA1 activity and increased levels of these abnormal protein deposits in the brain, but the relationship remains poorly understood. The aim of this project is to create an inhibitor that can enter the brain and be used to determine GBA1 in the brain. The success of this project may lead to a better diagnostic agent for PD.

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Faculty Supervisor:

Andrew Bennet

Student:

Sachin Kandalkar

Partner:

Alectos Therapeutics Inc.

Discipline:

Chemistry

Sector:

Medical devices

University:

Program:

Accelerate

Development, evaluation and optimization of a portable water electrolyser for hydrogen generation

The membrane electrode assembly (MEA) is the core components of Proton exchange membrane (PEM) water electrolysers, and the properties of the MEA directly affect the performance and the stability of the electrolysers. In the proposed work, a PEM water electrolyser with the state-of-the-art materials and components as reported in the literature will be built-up, and the performance and stability of such an electrolyser will be evaluated. Furthermore, nanotube structured conductive TinO2n-1 on the Ti mesh or felt will be developed to support IrO2 as an anodic gas diffusion electrode (GDE), which is also evaluated in the PEM water electrolyser. From the perspective of materials and microstructure, the interaction between the support and the catalyst phase will be investigated. The successful implementation of the project will help the partner better understand the key issues and the potential adoption of the PEM water electrolysis technology in their health devices.

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Faculty Supervisor:

Xiaotao Bi

Student:

Gaoyang Liu

Partner:

China Harmony of Health Company Co. Ltd

Discipline:

Engineering - chemical / biological

Sector:

Energy

University:

Program:

Accelerate

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