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

Hemodynamic Impacts of Combining Axial Pumps

Heart failure is a prevalent disease effecting 250,000 people in North America alone. This disease can be treated by the transplant of a donor organ, but insufficient donor organs have led to the development of mechanical circulatory supports which now provide a reliable alternate treatment option for patients. Unfortunately, many patients that could be helped by a mechanical circulatory support are deemed ineligible due to the invasive, open-heart surgery that is required to install such devices. Puzzle Medical Inc. and the McGill group are researching novel pump designs that can deployed non-invasively to increase the availability of mechanical circulatory supports to high risk patients. An important consideration for development of this device is how it interacts with blood and its cellular components. Computational fluid dynamics will be performed on the pump to determine if different design changes will impact its biocompatibility.

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Faculty Supervisor:

Rosaire Mongrain

Student:

Partner:

Puzzle Medical Devices

Discipline:

Engineering

Sector:

Manufacturing

University:

McGill University

Program:

Accelerate

Statistical methods and their applications to biomedical studies with complex study designs

With the increasing complexity of study designs in biomedical research, biomedical scientists are often challenged with tasks of analyzing data measured by complex study design. Although most statistical analyses assume the end results are independent, the outcomes of repeated measurements taken on the same subjects are in fact dependent, which may contribute to the failure of the analysis. This Project will propose an advanced statistical technique, General Equation Estimation, to account for such dependencies and correlations. With the increasing complexity of study designs within the pharmaceutical and biotechnological research disciplines, the partner organization will gain additional expertise and insight with future statistical analysis tasks.

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Faculty Supervisor:

Irina Dinu

Student:

Partner:

Applied Pharmaceutical Innovation

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services; Retail trade

University:

University of Alberta

Program:

Accelerate

The Great River Rapport

The Great River Rapport is an initiative that involves collaboration, consultation, and input from scientists, Indigenous partners, citizens and students. The goal is to provide a report on the health of the Upper St. Lawrence River ecosystem and inspire people to become engaged and aware of how ecosystem health is linked to all of us. Through public workshops, presentations, and online surveys, citizens and students will share their concerns and questions about the health of the river, and River Institute scientists and academic partners will use the public feedback to establish themes, compile scientific data, and identify ecological indicators that define the health of the ecosystem. This process will also reveal environmental trends, predict future impacts, and help identify needs for future research. Outcomes will include a Technical Report and an interactive online space with stories, Indigenous Knowledge, pictures, videos, and educational messages that reflect the concerns of the community.

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Faculty Supervisor:

Frances Pick

Student:

Partner:

St. Lawrence River Institute of Environmental Sciences

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Ottawa

Program:

Accelerate

Caractérisation de la photostimulation optogénétique spatialement structurée chez la souris

Plusieurs stratégies pour restaurer la vue ont été tentées depuis les années 60 en équipant les patients d’une caméra et en stimulant directement le cerveau. Toutefois aucune de ces tentatives n’a pour l’instant pu se concrétiser et ceci est en grande partie imputable à la façon dont le cerveau est stimulé. Grâce au développement de l’optogénétique, une nouvelle approche de génie génétique, il est maintenant possible d’interfacer le cerveau avec la lumière et de façon beaucoup plus réaliste ce qui devrait se traduire par une amélioration des performances de restauration de la vision. Les outils optogénétiques seront implantés grâce à des virus modifiés et la photostimulation sera effectuée grâce à des matrices de LED. Ce développement va d’abord s’effectuer chez des singes. Toutefois, les caractéristiques précises de la façon de réaliser ces photostimulations sont manquantes. Ce projet va permettre cette caractérisation chez la souris.

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Faculty Supervisor:

Matthieu Vanni

Student:

Partner:

Aix-Marseille Université

Discipline:

Life Sciences

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Development of a comprehensive feminist performance evaluation framework for international Sexual-and-Reproductive-Health-and-Rights (SRHR) development programs: The case of Inter Pares

The main objective of this short-term Mitacs project is to gather evidence through research to support Inter Pares’ development of Performance Evaluation Framework for their upcoming SRHR program, which aims to improve the sexual and reproductive health and rights of women and adolescent girls in the global south. To learn from the program implementation and to show accountability to stakeholders Inter Pares requires to develop a PEF prior to the launch of the program. However, Inter Pares, as most other non-profit organizations, lack the essential research expertise, resources, and capacity to develop project performance evaluation framework. This research will conduct necessary research for the development of an effective PEF for their needs. It will conduct literature review and thematic analysis to develop a feminist evaluation framework, a set of relevant indicators and relevant data collection techniques. It will be significant for Inter Pares to develop their current and future projects, to secure future funding and donation, to effectively advocate SHR programming to improve their programming.

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Faculty Supervisor:

Annette Burfoot

Student:

Partner:

Inter Pares

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Queen's University

Program:

Accelerate

Temperature Prediction using Machine Learning

Synauta is a startup bringing the world’s best Internet of Things solutions to water utilities. Our deep industry knowledge prepares utilities for true connectivity to realize energy savings. We provide cyber security, sensors and software. In this project we will create a temperature prediction algorithm to save energy for water treatment plants. More energy can be saved if operators can plan to make more treated water when temperatures are high and less treated water when temperatures are lower. Over a week, the amount of water produced would be the same, but less energy would be used. To do this, Synauta requires a temperature prediction algorithm that can forecast the temperature of water into the future. This technology will provide customers with clear dollar savings as energy can be a major portion of opex costs.

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Faculty Supervisor:

Qing Zhao

Student:

Partner:

Synauta Inc

Discipline:

Computer science

Sector:

Utilities

University:

University of Alberta

Program:

Accelerate

Ecological risk assessment of tire wear particles in water bodies in Interior British Columbia

Microplastic pollution is becoming an emerging environmental issue in developed countries. The tire wearing particles (TWP) have also been categorized as microplastic pollution. TWP size range from a few nanometers to several hundred micrometers and are emitted into the environment. Tire industry is now inclined towards increasing knowledge of TWP origin, mechanism, transmission, and fate in the environment along with their impacts on receiving water bodies. This study aims to identify commonly occurring TWPs and investigate their characteristics, exposure mechanism, and toxicities followed by ERA, to evaluate the impacts on aquatic environment. The project will facilitate in generating a reliable knowledgebase on physicochemical properties, fate and transport, and toxicities of TWP. This project will also increase awareness in identifying the knowledge gaps to perform more comprehensive studies on TWP impacts.

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Faculty Supervisor:

Rehan Sadiq;Kasun Hewage

Student:

Partner:

Kal Tire

Discipline:

Engineering

Sector:

Retail trade

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Unsupervised Anomaly detection using Deep Learning

This project aims at evaluating whether recent results in deep learning models, trained to exploit weak labels can serve to extract meaningful lesion localizations from image-level labels, either from individual scans or given a (longitudinal) sequence thereof. To this end, we will scale up existing models that have been shown to work on 2D images to a 3D context, studying labeling performance as the dataset size grows. If successful, this work will assert the usefulness of DCNNs to provide a general modeling framework to integrate imaging with other clinical patient data into a predictive system that could help support clinical decisions and ultimately improve patient care.
The proposed research project fits within the partner’s scientific roadmap, which is to develop deep learning models suitable to processing clinical data that arises in a sequential fashion at the patient level (longitudinal data), wherein the set of available clinical modalities can be highly variable (heteromodality). The industrial partner has an existing team of full-time researchers dedicated to studying these questions; the intern will attack complementary questions with the help of the team.

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Faculty Supervisor:

Pascal Vincent

Student:

Partner:

Imagia

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Information and Communications Technology; Biotechnology

University:

Université de Montréal

Program:

Accelerate

Electric mobility in Canada: public discourse in British Columbia, Ontario, and Quebec

The overall objective for this project is to support the research of one master’s student who will help advance the research related to the social discourse of sustainable transportation and climate policy in Canada. In this field, START, in the School of Resource and Environmental Management at SFU, is one of the leading research teams in the country and Navius Research Incorporated is the leading Canadian consulting firm, providing support to governments and other stakeholders in the development and assessment of climate policy. The project focuses on assessing ZEV policy discourse in British Columbia, Ontario, and Quebec by analyzing newspaper coverage and data from a climate policy survey. This research aims to generate a better understanding of the narrative related to the introduction and implementation of zero-emission vehicles and their policy in unique Canadian regions. Comparing results from these three leading provinces will shed light on contrasting policy pathways and regional differences in the socio-politico acceptance of low-carbon technologies.

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Faculty Supervisor:

Jonn Axsen;Shane Gunster

Student:

Partner:

Navius Research

Discipline:

Sociology

Sector:

Transportation (excluding aerospace); Clean Technology; Sustainability & the Environment

University:

Simon Fraser University

Program:

Accelerate

Investigation of cybersecurity issues in using electric vehicle fleets with battery exchange infrastructure

Sustainable public transfer systems are getting a lot of attention, and many organizations are transforming their fleets into systems that rely on alternative fuels; the Electric Vehicle (EV) being most popular. The environmental, geopolitical and financial advantages of EV vehicles are well studied; however, security of these systems is not given full attention. The most common method of recharging EVs is to use exchange or recharge stations. Main components of a charging station include the main computing board, communication equipment connected to a central unit, RFID readers, and other electrical and power electronic components. Essentially, a computer is placed on the street, with potential access to the Grid and central infrastructure of the city. This research will investigate weak security points in hardware and electronic components that can provide adversaries with possible access to the primary network, and proposes a few alternative methods to be applied.

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Faculty Supervisor:

Mitra Mirhassani

Student:

Partner:

Canadian Urban Transit Research and Innovation Consortium (ON)

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Transportation and warehousing

University:

University of Windsor

Program:

Accelerate

Advancing municipal natural asset management in engineering practice and beyond

Canadian local governments are seeking new strategies to deliver their core services in more financially and environmentally sustainable ways, including turning to infrastructure asset management as a key tool to manage infrastructure. Municipalities are increasingly recognizing that natural assets such as aquifers, forests, streams and foreshores can provide equivalent or better services to many engineered assets. Municipal natural asset management offers a sustainable solution to the multifaceted problems of supplying municipal services in the face of aging infrastructure, urban growth, and declining budgets. As this approach is being implemented in a growing number of Canadian municipalities, it is important to monitor results and outcomes in a rigorous manner to facilitate widespread adoption of municipal natural asset management. This project will address this by developing a framework for monitoring as well as result tracking, and report to stakeholders and the public on what is happening in key local governments with which MNAI is involved.

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Faculty Supervisor:

Susan Nesbit

Student:

Partner:

Municipal Natural Assets Initiative

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Determining an effective management strategy for invasive exotic cattails (Typha spp.) in the Fraser River Estuary

Invasive species represent a major threat to global biodiversity, and are projected to increase in impact as globalization promotes the continued introduction of novel species. Proactive research that investigates the ecological, social, and economic threat of novel species prior to or early in their establishment is therefore critical to effective conservation planning. For our research we will be investigating the threat of cattails (Typha spp.) in the Fraser River Estuary (FRE). These species are problematic to wetlands throughout North America, and appear to be relatively recent arrivals to the FRE, as indicated by their limited distribution and lack of historical data. This investigation will include (1) identifying their current distributions using remote sensing, (2) predicting their long-term distributions through modelling, and (3) determining cost-effective removal methods using an eradication experiment. Results will inform conservation decisions and promote an appropriate and effective response to this species in the fragile and globally-significant FRE.

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Faculty Supervisor:

Tara Martin

Student:

Partner:

Ducks Unlimited Canada (BC)

Discipline:

Earth science

Sector:

Finance and Insurance; Other services (except public administration); Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

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