Innovative Projects Realized

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

31620 Completed Projects

2978
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5221
BC
856
MB
696
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899
SK
9419
ON
9858
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98
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619
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1192
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Projects by Category

Le dialogue interculturel chez Gadamer

Dans notre recherche, nous allons partir de la théorie de la compréhension de Gadamer pour mener une réflexion sur la question du potentiel et des limites du dialogue interculturel, en tant que principe de base du vivre ensemble. L’herméneutique de Gadamer fait ressortir les conditions de base du dialogue interculturel, telles que l’ouverture des participants au dialogue, leur capacité de questionner et de changer leur propre position, et celle d’adopter le point de vue de l’interlocuteur (de se mettre à sa place). Tel que nous entendons le montrer dans notre projet de recherche, la capacité de l’être humain de s’ouvrir au dialogue et d’être à l’écoute de l’autre en vue de comprendre son point de vue dépend de la Bildung qu’il reçoit, en tant que cette dernière l’amène à dépasser son horizon personnel, forgé par sa culture particulière, et à accueillir l’altérité d’autres horizons. Ce sera notre problématique de recherche. Nous aurons alors à mettre en relief ce que l’herméneutique de Gadamer peut nous enseigner sur le problème du potentiel et des limites du dialogue interculturel.

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Faculty Supervisor:

Jean Grondin

Student:

Partner:

Albert-Ludwigs-Universität Freiburg

Discipline:

Sociology

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Development of Streamlined Data Processing Pipeline for Untargeted Metabolomics

Metabolomics is the study of the complete set of small molecules in human body. It is a cutting-edge technology that empowers precision health and drug discovery. Liquid chromatography-mass spectrometry (LC-MS) system is the most sensitive analytical platform for metabolomics. However, computer programs are urgently needed to automatically process metabolomics data. This project will incorporate state-of-the-art signal extraction algorithms to develop an automated pipeline of data processing. The developed program will accelerate metabolomics-guided precision health research and business development in BioTwin.

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Faculty Supervisor:

Tao Huan

Student:

Partner:

Biotwin

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

High Voltage Photo Transducers

There is a growing need for high voltage isolated DC/DC converters with a low form factor, for application in the electric automotive, renewable energy, and consumer electronic sectors. In this project, we propose to use the know-how of Université de Sherbrooke micro/nano fabrication of semiconductor devices with the unique optocouplers technology commercialised by Broadcom, to microfabricate devices with multiplied the output voltage by more than 50. The objective of this project is to evaluate the potential of optocouplers for up conversion with output voltage of 800V using DC input voltage of ~2V.
This project will provide the opportunity for 4 HQPs training and will offer a unique Canadian technology that can be a game changer in the growing market of electrical mobility, actuators, optics, displays, and more generally, for any electrical sectors that use high voltage DC bus.

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Faculty Supervisor:

Maxime Darnon;Vincent Aimez;Jaouad Abdelatif;Gwenaelle Hamon;Abdelatif Jaouad

Student:

Partner:

Broadcom Canada ULC

Discipline:

Engineering

Sector:

Manufacturing

University:

Université de Sherbrooke

Program:

Accelerate

Spatial variation in the foraging and nutritional ecology of Arctic char (Salvelinus alpinus) in the Kivalliq region

This research project will examine the diets of two geographically separate populations of Arctic char in proximity to the communities of Rankin Inlet and Naujaat, Nunavut. Using methods of stomach content, stable isotope, and highly branched isoprenoid analysis, we will determine whether the diets differ between the two separate populations. In addition, we will explore multiple quantitative and qualitative methods such as chromatography and the use of colour palettes to determine whether Arctic char diet has an influence on their flesh colour. This project came to fruition as research priorities arose within communities across the Kivalliq region surrounding Arctic char diet and flesh colour. As the objectives of this project were formulated through a bottom-up approach, community members will also be consulted on the matter to incorporate an aspect of Inuit Qaujimajatuqangit (IQ), or Inuit traditional knowledge.

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Faculty Supervisor:

David Yurkowski;Gail Davoren

Student:

Partner:

ARCTIConnexion

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

Deep Learning Dataset Augmentation for Detecting Rare and Severe Contaminants in Waste Management Collection.

This project strives to identify rare and severe contaminants found in residential curbside recycling. Using computer vision techniques and machine learning, cameras analyze contaminants as they are tipped into recycling trucks. Some of these contaminants are rare, however they can pose severe risks to operators and the general public. As these contaminants are not common, they are difficult to detect. By enabling municipalities the means to collect data on previously unidentifiable items, a multitude of new approaches will be developed for education and outreach. The ultimate effect of these activities will be proper recycling practices which promotes a circular economy, thereby reducing our dependence on virgin plastics and fossil fuels.

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Faculty Supervisor:

Ezeddin Shirif;Mohamed El-darieby

Student:

Partner:

Prairie Robotics Inc.

Discipline:

Engineering

Sector:

Administrative and support, waste management and remediation services

University:

University of Regina

Program:

Accelerate

Lake Kivu Degasification Reservoir Engineering Study

Lake Kivu is a unique lake with a significant amount of methane and CO2 dissolved in its deep layer. The presence of these greenhouse gases poses a potential danger of massive disaster. The extraction of methane is viewed as a possible and profitable solution as the reduction of methane will enhance the ability of the lake water to absorb more incoming CO2, consequently reducing the risk of uncontrolled gas eruption. The safe extraction of methane requires comprehensive study about the transport processes involved with the production of methane and reinjection of degassed water into the lake. We propose an extensive analysis of the extraction, separation, and economic evaluation of lake methane. We also plan to assess the stability of the water body by conducting a numerical experiment that will account for net withdrawal of gases, reinjection of produced water and subaquatic water influx.

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Faculty Supervisor:

Hassan Hassanzadeh

Student:

Partner:

Alfajiri Energy Corporation

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Incorporation de lignines Organosolv dans la formulation de mousses PU et d’adhésifs pour panneaux de bois agglomérés

L’objectif général de ce projet de recherche est d’évaluer le potentiel des lignines produites par un nouveau procédé Organosolv pour la formulation d’adhésifs PF et pMDI. Des modifications chimiques (phénolation, déméthylation, méthylolation) seront considérées pour optimiser le potentiel des lignines. Les adhésifs seront ensuite testés pour la production in-situ de PFMD à partir de la cellulose Organosolv co-produite par le procédé. Dans un souci de diversification des débouchés, les lignines modifiées seront également testées pour la production de mousses PU.

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Faculty Supervisor:

Yacine Boumghar

Student:

Partner:

DK-Spec Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

College d’enseignement general et professionnel de Maisonneuve

Program:

Accelerate

Autonomous Metro Rail Sensor Data Analytics for Anomaly Detection and Correlation Analysis with Environmental Variables

Anomaly Detection (AD) is a key research problem in the fast-evolving area of Intelligent Transportation Systems. To proactively detect faults, AD methods are applied to detect deviation from regular behavior, which can also be caused by environmental factors such as weather conditions, neighbouring trains, and track curvature. Thales Canada has unlabeled data from their Next-Generation Positioning System (NGPS) on-board their Train Autonomy Platform which contains speed and positioning readings from sensors onboard multiple trains collected over multiple years. The project will develop an AD tool to identify anomalous readings in the NGPS data by modeling the regular behavior of the train for different source and destination, number of stops, and time of the day, and thereby, identify anomalous behavior, and compute correlations of the run data with external factors. The AD tool will allow Thales to automate the metro-rail system with minimal human supervision and ensure a safer metro-rail system.

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Faculty Supervisor:

Farhana Zulkernine

Student:

Partner:

Thales Canada Inc (North York, ON)

Discipline:

Computer science

Sector:

Professional, scientific and technical services; Transportation and warehousing

University:

Queen's University

Program:

Accelerate

Analyse modale harmonique des roues de turbines hydroélectriques par l’étude de régimes permanents

Le but du projet est caractériser les efforts que subit les roues de turbines hydroélectriques à partir de leurs données d’opérations en production d’électricité. À long terme, le projet permettra de combiner les méthodes de conception par modélisation numérique et par analyse empirique pour caractériser plus précisément les efforts que subit la roue. On pourra alors concevoir des roues plus durable et ainsi augmenter l’efficacité de nos centrales hydroélectriques.

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Faculty Supervisor:

Souheil-Antoine Tahan

Student:

Partner:

Institut National des Sciences Appliquées de Lyon

Discipline:

Engineering

Sector:

Energy and Utilities; Green/Alternative Energy; Sustainability & the Environment

University:

École de technologie supérieure

Program:

Globalink Research Award

Assessing Climate Change Impacts on the Population and Habitats of Piping Plovers in Prince Edward Island

The proposed research focuses on examining the influence of regional climate variability and extreme weather events on the population and habitats of Piping Plovers in Prince Edward Island (PEI). Correlation matrices between records of population parameters and regional climate conditions will be generated and correlated variables will be tested for significance using t-tests. A passive inundation model of sea-level rise will be run using a Digital Elevation Model (enhanced by LiDAR imagery) and various future emission scenarios to assign vulnerability scores to currently suitable habitat for Piping Plovers on PEI. The proposed study will not only inform the partner organization of how local climate conditions and climate change affects Piping Plovers on PEI but also present a comprehensive and replicable model for analyzing the effects of climate change on shorebird species in Atlantic Canada.

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Faculty Supervisor:

Xander Wang

Student:

Partner:

Island Nature Trust

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

University of Prince Edward Island

Program:

Accelerate

Advancing the reliability of social media discourse as a measure of public sentiment about COVID-19

The proposed research is to develop a method for making valid, representative estimates of public opinion from sufficiently large and diverse non-probability samples such as social media data. We aim to demonstrate the theoretical, methodological, and practical contributions to the field of public opinion research by demonstrating the reliability and utility of this method in the context of measuring public responses to COVID-19. The measurement of public opinion as it pertains to COVID-19 is critical to strengthening understandings of the pandemic’s broad social and economic implications. The proposed research will use statistical and machine learning methods to demonstrate how user-generated content collected from social media platforms can be utilized in a principled way so as to produce and extrapolate low-bias, representative measures of public opinion related to COVID-19 and other contemporary societal issues.

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Faculty Supervisor:

Clifton van der Linden

Student:

Partner:

Vox Pop Labs Inc

Discipline:

Sociology

Sector:

New and Digital Media; Public Service, Policy, and Governance; Information and Communications Technology

University:

McMaster University

Program:

Accelerate

Non-Linear Control by Artificial Intelligence for complex and underactuated systems

The project is part of a PhD Thesis titled “Overcoming the Reality Gap: Imitation and Reinforcement Learning Algorithms for Bipedal Robotic Locomotion Problems” which aims to study the use of imitation and reinforcement learning algorithms to allow humanoid robots to learn how to walk in an efficient way. In particular, the project to be developed in Canada in the UQTR corresponds to the application of reinforcement learning algorithms for obtaining new gait patterns or for improving the efficiency of existing ones. This optimization process is performed realizing multiple tests of different robot controllers which tune their behavior based on a score called reward inspired in natural learning processes. These tests are realized through the iterative combination of simulations and experiments with the real robot that result in gait patterns that are fast and energetically efficient into the simulation environments as well as in the real robot.

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Faculty Supervisor:

Alben Cárdenas

Student:

Partner:

Universidad Nacional de Colombia

Discipline:

Engineering

Sector:

Artificial Intelligence

University:

Université du Québec à Trois-Rivières

Program:

Globalink Research Award

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.