Innovative Projects Realized

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

30156 Completed Projects

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842
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8957
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96
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Projects by Category

Effects of the optical habitat on foraging and predator avoidance behavior of Galaxias maculatus

Increasing concentrations of colored dissolved organic matter (CDOM) due to land-use permafrost thawing and landscape vegetation are darkening Northern Hemisphere freshwaters. In addition, mining activities increase water turbidity. In Chile, the same phenomena are observed, and melting glaciers are also responsible for increased turbidity. CDOM and turbidity are part of the optical habitat of fish, as is the color of the riverbed. For visual predators such as invasive trout species in Chilean rivers, turbidity is a key factor in foraging. Higher turbidity has been shown to negatively affect their foraging success. However, the effect of CDOM on salmonid foraging has never been studied. Combined, CDOM and turbidity could reduce trout predation on native Galaxias maculatus in invaded Chilean rivers. However, CDOM and turbidity could affect predator avoidance behavior by Galaxias. It’s not known whether a darker, more lurking environment could potentially shield galaxias from predation, or reduce their response time to predators’ visual cues. Nor is it known whether changes in optical habitat will reduce foraging efficiency. We aim to assess the effect of the optical habitat on G. maculatus foraging and predator avoidance behavior in trout invaded Chilean rivers, something never done before.

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Faculty Supervisor:

Eva Enders;Isabelle Laurion

Student:

Partner:

Universidad Austral de Chile

Discipline:

Life Sciences

Sector:

Environmental Science and Technology; Sustainability & the Environment

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Globalink Research Award

Transforming Air Pollution into Safety: An Innovative Approach with RainIons Technology for CO2 Reduction and Climate Change Mitigation

This project will determine what safe by-products are being created by the air pollution, including Carbon Dioxide, that RainIons is transforming/reducing with the unique materials and coating, what the mechanism of action is (e.g., how it’s occurring), and help RainIons optimize their technology for production.
The project has three phases:
• Phase 1: Determine what is happening to the pollution that RainIons is reducing/transforming in every internal and third-party test conducted.
• Phase 2: Determine what is the mechanism of action/what is causing the reduction.
• Phase 3: Determine what parameters constrain the system and what features are optimal for performance.

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Faculty Supervisor:

Hossein Kazemian

Student:

Partner:

RAINIONS CORPORATION

Discipline:

Physics

Sector:

Manufacturing

University:

University of Northern British Columbia

Program:

Accelerate

Lithium-ion battery characterization with electrochemical impedance spectroscopy used in state of power estimation

Addressing greenhouse gas emissions from transportation is critical for Canada to meet its climate goals. Batteryelectric
vehicles are expected to make a substantial contribution to this goal. Manufacturing and end-of-life
disposal of the batteries results in significant greenhouse gas emissions. Understanding the state of health of the
batteries can keep the batteries in the vehicle for longer, delaying or avoiding replacement. It can also maximize
the potential to re-use vehicle batteries for other applications when they are no longer good enough for use in a
vehicle. This project will investigate the use of electrochemical impedance spectroscopy to assess the state of
health of battery packs. The academic team will work with Greenlight Innovations to evaluate a custom-built
system that applies this method at the voltage levels encountered in a modern vehicle. The results of the work will
guide future evaluation of the technique s use for assessing batteries in service, during maintenance, or for
repurposing at end-of-life.

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Faculty Supervisor:

Gordon McTaggart-Cowan;Jiacheng Jason Wang

Student:

Partner:

Greenlight Innovation

Discipline:

Engineering

Sector:

Manufacturing

University:

Simon Fraser University

Program:

Accelerate

UVIC CS Data Science Research Program Pilot

Enormous quantities of machine-readable data, measured in many terabytes, are readily available. The sources include the world-wide web, publicly available databases, raw experimental data, unannotated genomic sequences generated by biochemical tools, and so on. However, data does not necessarily equal useful information. More often than not, the data has to be intelligently processed, interpreted, transformed, and then integrated into unified repositories. The research internships in the data science program pilot enable local companies to access high-in-demand expertise and collaborate with the University of Victoria to advance and apply high quality methods for exploring, integrating and analyzing “big data” for their respective business goals. The pilot seeks to build an ongoing initiative in data science and industry collaborations through HQPs.

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Faculty Supervisor:

Alex Thomo;Sue Whitesides;Yvonne Coady;Kui Wu;Daniela Damian;Jianping Pan

Student:

Partner:

Akimi Labs Ltd;Schneider Electric of Canada (Saanichton);Isolation Network Canada;Mybesthelper Solutions Inc;FillZ|Abebooks;Focus Sales Systems;MyTotalWellbeing Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Bioengineering blood cells for managing non-compressible hemorrhage

Non-compressible hemorrhage accounts for high mortality globally. Traditional tourniquets and wound dressings cannot apply to the internal and non-compressible bleeding sites. Currently, transfusion of blood remains the clinical “gold standard”, but has the issues of limited availability, short shelf-life, and high cost. There is an unmet need for the prevention or point-of-care treatment of non-compressible hemorrhage. We propose to engineer the abundant red blood cells (RBCs) into universal and pro-hemostatic multitasking cells, which can be circulated long in blood as prophylactic treatment or administrated intravenously to halt non-compressible hemorrhage. Our strategy is to form a smart and ultrathin hydrogel sheath anchored to RBCs. Upon bleeding, engineered RBCs will rapidly link with each other, form a RBC gel, seal the wound and stop bleeding. The proposed work would benefit broad populations such as patients suffering from coagulopathy, individuals with rare blood types, and soldiers in the battlefield, and has great socio-economic impact.

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Faculty Supervisor:

Jianyu Li

Student:

Partner:

Brigham and Women's Hospital

Discipline:

Engineering

Sector:

Education

University:

McGill University

Program:

Globalink Research Award

Semantic Gait Parameter Extraction from Video Data Using Generative Models

This study addresses the challenge faced by children with severe motor impairments in acquiring proficient powered wheelchair (PW) skills for independent locomotion. Traditional means, such as joysticks, may not be suitable, prompting exploration of brain-computer interface (BCI)-based PWs. However, limited research exists in the pediatric realm due to developing brains and a lack of tailored BCI systems. Among BCI control schemes, the motor imagery (MI) paradigm shows promise for real-world use as it doesn’t rely on visual stimuli. Despite requiring focused attention and causing fatigue, MI competes with the more user-friendly P300, which boasts high accuracy and ease of use. The study aims to compare the usability of MI and visual P300 paradigms for controlling PWs in real contexts, considering the perspectives of parents, service providers, and observations. By delving into this unexplored area, the research seeks to enhance assistive technology for children with severe motor disabilities, contributing valuable insights to both home and host institutions. This project aligns with social responsibility goals, promising advancements in knowledge and technology to improve the lives and mobility of vulnerable populations. Overall, participating institutions stand to benefit by contributing to knowledge, refining assistive technology, and addressing the genuine needs of affected children.

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Faculty Supervisor:

Ervin Sejdic

Student:

Partner:

Flinders University

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Machine Learning Operations (MLOps) Pipeline for Large-Scale Anomaly Detection in Derivative Markets

When we want to deploy the trained model in the production environment, we should make sure that the model is working properly. Thus,
we aim to extend the “data drift detection” and “model monitoring” components to work on large-scale datasets in production. Besides, we
aim to enable model versioning to make sure that the pipeline is flexible to replace the old models with the state-of-art models in the
production.

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Faculty Supervisor:

Heng Li;Foutse Khomh;Maxime Lamothe

Student:

Partner:

Bourse de Montréal

Discipline:

Computer science

Sector:

Finance and Insurance

University:

Polytechnique Montréal

Program:

Accelerate

Using Invasive Species for Biochar Production in Kenya: Assessing Climate Mitigation, Economic Viability and Environmental co-benefits

This project explores the potential of low-tech biochar production using an invasive species to mitigate climate change and generate carbon credits. Focused on Kenya, the research assesses the viability of this practice, considering factors like feedstock availability, production data, and environmental impacts. The team aims to provide communities, policymakers, and investors with valuable insights through a user-friendly online tool. By incorporating recent advancements in carbon credit methodology and methane emissions from low-tech biochar production, the project bridges knowledge gaps and offers a more accurate representation of the economic and environmental benefits of low-tech biochar systems. This research contributes to global efforts for climate change mitigation, and economic development, making it a crucial endeavor for a brighter, more sustainable future.

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Faculty Supervisor:

Jean-Thomas Cornelis

Student:

Partner:

Veritree

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Elevate

Effets des sous-produits de la fertilisation urbaine sur la croissance des plantes dans un contexte de Résistance au changement climatique

Le projet de recherche cherche a valoriser les sous-produits de l’agriculture urbaine pour en révéler le plein potentiel fertilisant . Pour se faire, la mission des stagiaires consistera à développer des protocoles novateurs puis caractériser l’impact de ces fertilisant sur les agroecosystemes. Ils concevront des procédures de d’utilisation de ces matières telles que:
1) actuellement utilisées et commercialisées, ie compost, fumier d’insectes et substrat épuisé de la culture de champignon épandu sur planches de cultures,
2) sous forme soluble pour fertilisation foliaire possiblement activée (“thé” de compost et autre).
Les stagiaires évalueront l’impact de ces fertilisants sur la croissance des plantes et la santé du sol. Afin de comprendre comment ces fertilisants influent sur l’ensemble de l’agroécosystème, le suivi sera particulièrement exhaustif : de mesures physiologiques aux analyses d’ADN environnemental. Une attention particulière sera accordée à la persistance des micro-organismes dans la rhizosphère et la phyllosphère.
Partie importante d’un large programme de recherche en démarrage qui est soutenu par plus de 20 partenaires du milieu agricole montréalais, ce projet promet des avancées significatives dans la recherche agricole urbaine en offrant des solutions durables et innovantes, contribuant ainsi à façonner un avenir plus vert pour notre agriculture.

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Faculty Supervisor:

Joan Laur

Student:

Partner:

Sup'Biotech

Discipline:

Life Sciences

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Beyond the Basics: Developing an Advanced Platform for Wellbeing Measurement

This project is about understanding and keeping track of personal wellbeing over time. While wellbeing apps have
helped people closely monitor various aspects of their lives, there’s still a challenge in effectively using this data
for self-improvement. I’ll work with UpBeing to determine the best ways to measure wellbeing and identify factors
contributing to improved personal wellbeing. The insights gained from this research will help UpBeing to improve
its application for future product improvement.

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Faculty Supervisor:

Norman Farb

Student:

Partner:

UpBeing Inc.

Discipline:

Sociology

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Model Development for Manitoba Hydro Regulating Reserve Management

The main objective of this research is to calculate Control performance standards in an interconnected power system without running the time domain simulation. Using a faster approach which requires probability distribution of load change. PSCAD and PSSE simulation tools will be used to carry out the research. System identification technique will be used to estimate necessary transfer function models. These transfer function models will be used to generate data for the calculation purpose. These models are expected to accurately evaluate the impact of external generation especially wind power generation to Manitoba Hydro system frequency performance. This research and development associated with it will benefit the partner organization in different ways. The project would help Manitoba Hydro to be able to meet the related existing and future NERC/MRO standards in the most efficient manner. Meeting these standards would provide exceptional value to Manitoba Hydro’s customers. It will help Manitoba Hydro to enhance its frequency control responsibilities with the interconnections while maintaining cost effective regulating reserve. This could enable Manitoba Hydro to increase its profit from expanded export market sales.

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Faculty Supervisor:

Udaya Annakkage

Student:

Partner:

Manitoba Hydro

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

University of Manitoba

Program:

Accelerate

Advancing Wastewater Treatment Efficiency: Empowering Data-Driven Modeling with Domain Knowledge Integration

In Canada, ensuring clean and safe water while promoting environmental sustainability is a top priority. While wastewater treatment plants (WWTPs) has been playing a crucial role in public health and environmental protection, but their operational efficiency still needs to be improved. To this end, this research project focuses on harnessing the power of data-driven modeling (DDM) and the wisdom of domain experts to enhance WWTP operations. Current WWTPs often operate with excess caution, consuming substantial energy, space and resources. We aim to change that by leveraging data from various sources, including SCADA systems, water quality measurements, and regulatory data, to predict and optimize WWTP performance. Specifically, we’re exploring the integration of domain knowledge with DDM to make predictions more accurate and models more interpretable.
Our research, supported by comprehensive datasets spanning four years, aims to predict critical parameters, such as total phosphorus concentrations, essential for meeting water quality regulations. By embracing DDM and domain knowledge, we aim to make WWTPs more efficient, eco-friendly, and adaptable. This research aligns with federal sustainability strategies and supports the Ontario Clean Water Agency in achieving optimal performance while addressing environmental concerns.

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Faculty Supervisor:

Usman Khan;Satinder Brar;Stephanie Gora

Student:

Partner:

Ontario Clean Water Agency

Discipline:

Engineering

Sector:

Construction and infrastructure; Utilities

University:

York University

Program:

Accelerate

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