Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

30 508 projets complétés

2882
AB
5105
C.-B.
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projets par catégorie

Vers des meilleures pratiques d’accessibilité universelle dans le contexte municipal de la Ville de Québec

Dans la région de la Capitale-Nationale, on peut compter une proportion de 14,9% de personnes ayants des incapacités. En 2010, la Ville de Québec publiait sa 2e édition du Guide pratique en accessibilité universelle. Depuis, les meilleures pratiques en matière d’accessibilité ainsi que les connaissances sur le(s) handicap(s) se sont précisées. L’Office des personnes handicapée du Québec, en continuité avec la politique À part entière, souligne l’importance d’actualiser, diffuser et mettre en œuvre les meilleures pratiques pour soutenir l’autonomie des personnes ayant des incapacités (PAI) motrices, intellectuelle ou invisible. Rassemblés par ce désir commun, l’équipe de recherche Participation sociale et villes inclusives et la Ville de Québec s’associent afin de proposer le présent stage de recherche pour mettre à jour le guide pratique d’accessibilité universelle de la Ville de Québec. L’étude permettra d’améliorer les outils de la municipalité en matière d’accessibilité universelle et de participation sociale sur son territoire urbain.

Voir la description complète du projet
Superviseur du corps professoral :

François Routhier

Étudiant :

Partenaire :

Ville de Québec

Discipline :

Sociology

Secteur :

Administrative and support, waste management and remediation services; Public administration; Utilities

Université :

Université Laval

Programme :

Accelerate

Hydrogen production via inductively heated methane pyrolysis

The pyrolysis of methane offers the potential for an affordable and clean route to hydrogen production. The reaction is endothermic and requires energy input, which must be provided without emissions if the process is to be CO2-free. One option is to use electricity provided from clean sources. Resistive heaters are challenged by low heat flux and high costs. The novel approach that will be investigated here is to use inductive heating with metal catalysts to provide the reaction energy using electricity.

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Superviseur du corps professoral :

David (Chester) Upham

Étudiant :

Partenaire :

Mercer International

Discipline :

Engineering

Secteur :

Natural Gas; Energy and Utilities; Clean Technology

Université :

The University of British Columbia

Programme :

Accelerate

Cloud-Based Image Processing for Real-Time Robotics in Manufacturing

The goal of this project is to explore how cloud-based processing of image data can be utilized in real-time robotics applications, specifically in advanced object tracking. The challenge is to balance the need for considerable computing resources with the cost of deploying such resources with each robot arm. This is where cloud-based processing offers a potential solution, albeit with additional latencies that can impact the overall system performance. The intended applications of this research lie in advanced manufacturing and reconfigurable production systems. The primary objective is to evaluate how latency in detection and data transfer affects the robustness of the developed system, with the aim of improving its overall efficiency and effectiveness.

Voir la description complète du projet
Superviseur du corps professoral :

William Melek

Étudiant :

Partenaire :

National University of Kharkiv

Discipline :

Computer science

Secteur :

Manufacturing and Construction; Automotive; Advanced Manufacturing

Université :

University of Waterloo

Programme :

Globalink Research Award

Analyse et intégration du flux auxiliaire de refroidissement d’une turbine céramique renversée

Les turbines renversées en céramique sont développées dans le but de réduire la consommation énergétique des avions et autres plateformes aériennes. Pour améliorer leur efficacité, il est important de comprendre comment refroidir adéquatement l’anneau de composite structurel. Cette recherche vise à comprendre comment le refroidissement affecte les performances de la turbine. Les participants vont alors utiliser des modèles numériques pour étudier comment le refroidissement fonctionne et comment il peut être amélioré. L’objectif est d’obtenir la compréhension et l’expertise pour concevoir une nouvelle génération de turbines renversées plus efficaces.

Voir la description complète du projet
Superviseur du corps professoral :

David Rancourt

Étudiant :

Partenaire :

Exonetik Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Université de Sherbrooke

Programme :

Accelerate

Improving Protection for Survivors of Wartime Sexual Violence in Ukraine

This research project aims to improve the legal framework and enhance protection for survivors of wartime gender-based sexual violence against women in Ukraine. The study will analyze existing legal practices and propose recommendations to strengthen legal protections, including reforms in legislation, law enforcement practices, victim support services, and the involvement of civil society organizations in advocacy and awareness-raising. Additionally, the research will explore the long-term consequences of gender-based sexual violence on women’s post-war reintegration, focusing on socio-economic challenges, access to healthcare and psychosocial support, and the role of community and transitional justice processes, taking into account similar expertise of other states or regions. The expected outcome is to contribute towards a more effective legal system and comprehensive support for survivors.

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Superviseur du corps professoral :

Philip Boyle

Étudiant :

Partenaire :

National University of Kyiv-Mohyla Academy

Discipline :

Sociology

Secteur :

Public Service, Policy, and Governance; Other

Université :

University of Waterloo

Programme :

Globalink Research Award

Enhanced Tool Support for Gradle Build Systems

The main goal of the project is to discover if program analysis approaches can be adapted to the context of Gradle build systems. Thus, during the research it is planned to implement support for Gradle build systems within an existing program analysis toolchain that have been developing at the University of Waterloo. (currently specific to CMake) The analysis toolchain will initially be used as a tool for scanning Gradle build systems for potential problems. The second phase of the research will perform scans incrementally, so that alerts can be displayed during the peer code review of software development. The third phase will accelerate the incremental scans so that they can happen on-the-fly during development in an integrated development environment (IDE). As a result, technical deliverables will be the implemented solution of Gradle support for existing program analysis toolchain.

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Superviseur du corps professoral :

Shane McIntosh

Étudiant :

Partenaire :

National Technical University of Ukraine

Discipline :

Computer science

Secteur :

Information and Communications Technology; Other

Université :

University of Waterloo

Programme :

Globalink Research Award

Intelligent analytics for hyperspectral image dimension reduction

This research project focuses on improving the analysis of hyperspectral images, which capture images with many narrow spectral bands. Hyperspectral images have many challenges due to their high dimensionality and data redundancy. To overcome these challenges, the researchers aim to develop an advanced intelligent analytics framework for hyperspectral dimension reduction (HDR) using disentangled representation techniques. This approach will extract low-dimensional features that contain the most important information in a compact and interpretable manner. The researchers will investigate and design a new HDR framework that considers spatial-spectral heterogeneity in HSI using advanced deep neural network architectures and spectral models. They will also adapt and extend the HDR methods to improve various HSI processing tasks such as denoising, visualization, and classification. The expected outcome is a practical software system for enhanced HSI interpretation in real-world applications.

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Superviseur du corps professoral :

Linlin Xu

Étudiant :

Partenaire :

National University of Kyiv-Mohyla Academy

Discipline :

Computer science

Secteur :

Artificial Intelligence; Environmental Science and Technology; Agriculture and Food

Université :

University of Waterloo

Programme :

Globalink Research Award

Algorithmic redaction of refugee court files

The goal of this research The system will be designed to intelligently propose redactions for court officers to examine, thereby integrating human oversight with advanced technological capabilities.is to engineer an intuitive and user-friendly system capable of automatically scrutinizing and eradicating confidential information contained within refugee court files in Canada. By leveraging cutting-edge language processing and machine learning methodologies, the project seeks to revolutionize the way legal documents are handled. This innovative approach is centered on preserving the privacy and enhancing the safety of the involved individuals, a critical aspect often overlooked in the rush of legal proceedings. This synergy will facilitate better decision-making, ensuring that only the most pertinent and non-sensitive information remains accessible.Ultimately, this project has the potential to make a profound difference in the lives of vulnerable refugees, offering them an added layer of protection. Concurrently, it upholds the principle of transparency within the legal system, striking a balance between public access to court files and individual privacy rights. This delicate balance is essential in a democratic society and the successful implementation of this system could serve as a model for other jurisdictions.

Voir la description complète du projet
Superviseur du corps professoral :

Derek Rayside

Étudiant :

Partenaire :

Taras Shevchenko National University of Kyiv

Discipline :

Engineering

Secteur :

Technology; Public Service, Policy, and Governance; Artificial Intelligence

Université :

University of Waterloo

Programme :

Globalink Research Award

A human-centered approach to the design and implementation of advanced health technologies using Cognitive Work Analysis (CWA)

While there have been several literature reviews on the performance of digital sepsis prediction technologies and clinical decision-support algorithms for adults, there remains a knowledge gap in examining the development of automated technologies for sepsis
prediction in children. Pediatric sepsis is a major cause of mortality of children worldwide. However, there is still a lack of easy-to-use predictive tools that can accurately diagnose sepsis in children. This research aimed to develop an optimal algorithm for supporting early sepsis prediction in children. The results may inform research on identifying relevant predictive indicators best suited for the design of digital technologies in specific use contexts and environments, improvements towards model development for sepsis prediction and factors supporting the optimal workflow integration of digital prediction systems by clinicians.

Voir la description complète du projet
Superviseur du corps professoral :

Catherine Burns

Étudiant :

Partenaire :

National Technical University of Ukraine

Discipline :

Computer science

Secteur :

Technology; Health and Related Sciences & Technology; Artificial Intelligence

Université :

University of Waterloo

Programme :

Globalink Research Award

Building and testing a simulator of human-computer interface for small modular nuclear reactors

The project is dedicated to the explore how the effective interface for a small modular nuclear reactor should look considering human factors and current digital technology design trends. The research will review the significance and application of modern human-computer interaction techniques to ensure a better user experience and to achieve substantial safety and operational benefits in small nuclear power station workplaces. Based on the findings the report will be prepared summarizing the literature review and design requirements for the SMR interface. The goal of the project is to design and develop a prototype interface for small modular nuclear reactors using appropriate tools and technologies following human-computer interaction principles.

Voir la description complète du projet
Superviseur du corps professoral :

Shi Cao

Étudiant :

Partenaire :

Taras Shevchenko National University of Kyiv;National Technical University of Ukraine

Discipline :

Computer science

Secteur :

Technology; Energy and Utilities; Information and Communications Technology

Université :

University of Waterloo

Programme :

Globalink Research Award

Individual problem solving: experiments on open-ended problems

Open-ended problem solving plays an important role in industrial innovation, product development, strategy formulation, and many other applications. The study will use experimental methods to investigate the behaviour of individuals while solving open-ended problems, and will entail the gathering and analysis of both qualitative and quantitative data. Individual problem-solving tasks will be given to participants with varied degrees of competence, and the outcomes can then be compared to results from previous studies of group problem-solving. Data will be gathered via observation, surveys, and interviews, and will be subjected to statistical and thematic analysis. This study’s expected results include understanding of how different degrees of open-endedness affect individual problem-solving behavaiour and performance. These insights can guide future methods and strategies to solve a variety of open-ended challenges and can help choose the best method for doing so.

Voir la description complète du projet
Superviseur du corps professoral :

Rob Duimering

Étudiant :

Partenaire :

National Technical University of Ukraine

Discipline :

Engineering

Secteur :

Technology; Information and Communications Technology; Artificial Intelligence

Université :

University of Waterloo

Programme :

Globalink Research Award

Data-Driven and Synthesis-Guided Generalization in CHC-Solving

The intern will be working on a research project aimed improving scalability and applicability of automated reasoning tool called SPACER by improving the way it deals with special data types. Overall, the goal of this project is to make SPACER a more effective and reliable tool for verifying program correctness.

Voir la description complète du projet
Superviseur du corps professoral :

Arie Gurfinkel

Étudiant :

Partenaire :

National Technical University of Ukraine

Discipline :

Computer science

Secteur :

Technology; Information and Communications Technology

Université :

University of Waterloo

Programme :

Globalink Research Award

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