Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

30156 Completed Projects

2861
AB
5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projects by Category

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

This project aims to provide much needed evidence to service providers and program managers working in the field of early childhood development (ECD). Early childhood programs are required to provide evidence of tangible outcomes to validate the impacts of their programs. Organizations, though, do not always have the knowledge, resources, or capacity to support such processes and the intent of gathering such evidence is interpreted differently depending on the individual sector. This case study will document how two different sectors partner to support and assess the impact of a supportive housing program for teen families. The program is supported by an emerging partnership between an early childhood program and a housing society. This project will identify the resources and capacities needed for these organizations to effectively gather evidence of their program and services impacts.

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Faculty Supervisor:

Rebecca Gokiert

Student:

Partner:

Brentwood Family Housing Society;Terra Centre

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

University of Alberta

Program:

Accelerate

A new flow cytometry platform to evaluate the efficacy of immunotherapies and vaccines

The development of effective immunotherapies, vaccines and immunomodulatory drugs are the main success stories from the last years in drugs development for cancer, infectious diseases and chronic disorders. We are developing a simple and robust new platform to evaluate the next generation of immunotherapeutics treatments at pre-clinical stage. This platform is called Immune Complex Phagocytic Assessment (ICPA). It aims to test and validate in vitro and in vivo new vaccines, immunotherapies and even immunomodulatory drugs for their capacity to target specific antigens and degrade those in our blood stream by our immune cells. This platform can be applied to amyloid Alzheimer’s disease, AIDS, cancer and bacterial infection, etc. This approach could find implications in future immunotherapies, and could be used to develop new assays and biomarkers to monitor the immunological response to candidate therapeutics.

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Faculty Supervisor:

Stéphane Richard

Student:

Partner:

PAIRimmune Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Development of a numerical wave uprush prediction tool for the Cataraqui Region Conservation Authority Lake Ontario and St. Lawrence River shoreline – Phase 2

Wave uprush and the potential for flooding are natural hazards that must be determined by the Cataraqui Region Conservation Authority (CRCA) prior to the approval of a near-shore development. The purpose of calculating wave uprush is to recommend building sites that are outside of the wave uprush area (and floodplain in general) to land owners and municipalities, as well as provide information for flood proofing of existing buildings, roadways, etc. The CRCA has manually calculated wave uprush at 200 sites along the more than 200 km of shoreline in eastern Lake Ontario and the St. Lawrence River. Recently, there has been a need to compute wave uprush along an additional 260 km of shoreline. This project will examine the accuracy of existing CRCA wave uprush methodology, by comparing their manual calculations against field observations of wave uprush. The present CRCA methodology will then be extended and enhanced using computer models to predict the wave uprush throughout the entire CRCA jurisdiction. The results will be applied for shoreline management in eastern Lake Ontario and the St. Lawrence River.

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Faculty Supervisor:

Leon Boegman

Student:

Partner:

Cataraqui Region Conservation Authority

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Public administration

University:

Queen's University

Program:

Accelerate

Selective recovery of antimony and arsenic from copper sulphide concentrate

Many copper deposits contain significant amount of arsenic and antimony and being overlooked because of it. These impurities are currently subject to smelters penalty. Development of an efficient technology for removal of these impurities and converting them as sellable products will make a number of deposits economic that are currently not being mined. The current research will assist in identifying the most efficient technology for treating such complex minerals and to meet the rising demand for clear copper concentrates.

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Faculty Supervisor:

David Dreisinger;Edouard Asselin

Student:

Partner:

Minera Alamos Inc

Discipline:

Earth science

Sector:

Mining

University:

The University of British Columbia

Program:

Accelerate

Resource Allocation for Cloud-Based Notary Service

Cloud computing has emerged as an important platform for business and companies, providing a cost-effective way to scale business service with users’ demand. The proposed research project aims to take full advantage of cloud computing for legal-service companies in Canada, with a particular focus on cloud resource allocation. Unlike conventional resource-allocation schemes that are either centralized or distributed, the proposed research will develop a new hybrid resource-allocation scheme that enjoys clear advantages over conventional schemes. In particular, a theoretical foundation will be established and practical algorithms will be developed for hybrid resource allocation, based on which a software platform will be designed for cloud-based notary service. This software platform has a potential to revolutionize legal services in Canada.

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Faculty Supervisor:

Chen Feng

Student:

Partner:

Rothwell Notary Corporation

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of British Columbia - Okanagan

Program:

Accelerate

Élaboration d’une approche de modélisation géoenvironnementale de stériles miniers à l’étape de mise en valeur d’un projet d’exploitation d’une mine à ciel ouvert : application à un gisement Au-Cu de

Les mines à ciel ouvert génèrent de grandes quantités de stériles miniers. Selon leur composition, les stériles peuvent être potentiellement contaminants lorsqu’exposés à l’air et à l’eau. Une bonne connaissance des propriétés des stériles permet donc de mieux planifier leur gestion afin de réduire les risques environnementaux. Le projet consiste à réaliser une modélisation géo-environnementale des stériles miniers à l’étape de mise en valeur d’un gisement Cu-Au. Les données de l’entreprise propriétaire du site et les résultats d’essais de laboratoire réalisés préalablement par le stagiaire serviront à développer un modèle géo-environnemental du gisement. Ce modèle 3-D permettra de définir et de caractériser des unités géo-environnementales selon leurs potentiels de risques environnementaux. L’utilisation du modèle géo-environnemental mènera à une meilleure gestion des stériles et une réduction des risques environnementaux. L’approche développée dans ce projet pourra ensuite être transférée à d’autres sites en développement.

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Faculty Supervisor:

Isabelle Demers

Student:

Partner:

Agnico Eagle Mines Limited

Discipline:

Engineering

Sector:

Mining

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

Consumption of Smartphone Application Traffic Markings

Mobile Network Carriers are experiencing data traffic at such high levels that congestion is becoming an increasing problem. High levels of malicious traffic generated from smartphones could potentially bring down the carriers network. As such, mobile carriers are exploring new methods to reduce this congestion. This research focuses on simplifying the problem of identifying which mobile device applications are generating the problematic traffic and integrating this information with the carrier’s existing network-level QoS solutions. This will be done by developing the server-level solution required to consume markings produced at the device level regarding which applications are best shed to mitigate network overloads. As part of the University of Victoria’s Entrepreneurial Engineering Masters Program, I will work closely with experts from Wesley Clover and the Alacrity Foundation with the intention of providing research that at the end of the day can be deployed to address this emerging carrier-level mobile device concern.

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Faculty Supervisor:

Thomas Darcie

Student:

Partner:

Discipline:

Engineering

Sector:

Education; Management of companies and enterprises; Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Targeting CD36 cell surface receptor to treat macrophage-induced chronic inflammation

Chronic inflammation is the common denominator for various diseases, including atherosclerosis, age-related macular degeneration (AMD), obesity, type-2 diabetes, liver diseases and even cancers. In most cases, this inflammation is the result of massive pro-inflammatory macrophage infiltration in tissues, due to their aberrant signalling and dysfunction, in presence of fat accumulation. The CD36 scavenger receptor has been shown to be key player in inflammation, with its TLR2 co-receptor. Combined fat accumulation and formation of oxidized low-density lipoprotein (oxLDL) activate TLR2 receptor through the binding of oxLDL to CD36, and triggers the disproportional recruitment of pro-inflammatory macrophages causing the inflammation. The project aims to better understand the role of azapeptides with high CD36 affinity binding in the treatment of inflammation conditions.

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Faculty Supervisor:

William Lubell;Sylvain Chemtob;Huy Ong

Student:

Partner:

Mperia Therapeutics Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Evaluation of adsorbents’ properties and optimization of adsorption based processes for gas separations

The objective of this project is, firstly, to evaluate the performance of various adsorbents using various techniques for gas separation and purification applications of commercial interest; and secondly, to optimize and modify the current PSA setup at Xebec Ads. Company.
The proposed project will examine various adsorbents provided by Xebec Adsorption Inc. to determine their adsorption capacity, kinetics, selectivity, at different operating conditions. This research will also develop a novel Zero Length Column (ZLC) system designed for the fast screening of adsorbents that would include complete characterization from equilibrium and kinetics to dynamics (breakthrough) determinations. After determining adsorbents performance, they will be tested in the company’s pilot plant set up. In order to improve the separation efficiency of the Xebec’s pressure swing adsorption system, an optimization program will be developed to estimate the most effective operating parameters and consequently enhance the performance of the PSA separation setup.
This research will help partner organization to identify potential adsorbents for commercialization in industrial gas separation applications. It is also an excellent opportunity for the partner organization because they can easily access equipment and other resources that are available at the university via adsorption group expertise. TO BE CONT’D

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Faculty Supervisor:

Mladen Eic

Student:

Partner:

Xebec Adsorption Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

University of New Brunswick

Program:

Accelerate

Profiling Microbial Volatile Organic Compounds (MVOC’s); Progress Toward Detection of Various Mould Species via Gas Chromatography-Mass Spectrometry

The purpose of this research will be to analyze microbial volatile organic compounds for the purpose of the development of an analytical method for the detection and speciation of moulds in an indoor environment.

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Faculty Supervisor:

David Burns

Student:

Partner:

New Brunswick Research and Productivity Council

Discipline:

Life Sciences

Sector:

Finance and Insurance; Professional, scientific and technical services

University:

University of New Brunswick

Program:

Accelerate

Constructing data-adaptive dictionaries for robust sparse feature selection in classification of noisy electro-dermal activity data

Hypersensitivity to sensory stimuli causes overstimulation, inducing overwhelming emotional distress in individuals with an autism spectrum disorder (ASD). Reveal is a wearable device designed by Awake Labs that monitors anxiety levels in ASD children and interfaces with parents and caregivers. It predicts behavioural “meltdowns” by tracking and classifying key physiological markers of anxiety using machine learning technology. However, the features between which this model is trained to differentiate were developed ad hoc, and built from data that was collected from adults without ASD. Hence, it is unclear if the current technology is optimal for detecting anxiety in ASD children, since markers of anxiety in ASD children have much greater variability. Moreover, in the current technology, there is no way of ensuring that features remain reliable over long periods of time – do the best markers of anxiety in an ASD child change as that child ages? We will solve each of these problems using a variant of a popular tool in signal and image processing. We construct a framework that uses this variant to select features in a mathematically rigorous way. TO BE CONT’D

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Faculty Supervisor:

Ozgur Yilmaz;Yaniv Plan

Student:

Partner:

Awake Labs Inc

Discipline:

Mathematics

Sector:

Health and Related Sciences & Technology

University:

The University of British Columbia

Program:

Accelerate

Analysis of guitar performances for automatic score generation and matching

Recent advances in online technologies are changing the way we approach musical instruments teaching. The diversity of online music resources has increased through the availability of digital scores, video tutorials and music applications, creating the need for a cohesive, integrated learning experience. The Novaxe project proposes an online learning environment that allows master-apprentice or self-taught learning, using interactive and collaborative tools. It offers a new guitar notation that guide the learner not only on what to do but on how and why to do it. This notation is complement with multimedia recordings, allowing learners to access different dimensions of the performance of a score. The proposed internship implies the creation of analysis tools for the performance of a musician. It will permit guitar teachers to create scores automatically while playing and learner to receive feedback on their performance instantly. These two features will greatly improve both the master and the apprentice experience by providing them intuitive tools to interact with the platform.

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Faculty Supervisor:

Caroline Traube

Student:

Partner:

OMP Music

Discipline:

Sociology

Sector:

Arts, entertainment and recreation

University:

Université de Montréal

Program:

Accelerate

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