Projets novateurs réalisés

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

30156 projets achevés

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5059
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812
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673
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842
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8957
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9368
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96
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579
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1120
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Projets par catégorie

How does the brain generalize learned event-pain relationships to novel contexts?

Pain is a complex unpleasant experience that varies from a person to another. Learning, priors and expectations are known to have a substantial influence on subjective pain experience. For example, having expectations or being told that an event will be painful can be sufficient to shift a person’s pain experience into a more painful realm. When such modulation of pain occurs, changes of pain-processing systems in the spinal cord and in the brain can be observed using neuroimaging methods. This project uses functional Magnetic Resonance to unveil how the brain can learn to associate some situations with high pain outcomes while discriminating other situations to be associated with lower painful outcomes. The use of innovative AI-based statistical algorithms (such as machine learning and predictive models) will be at the heart of the project. We expect to find which brain regions are involved in producing a different pain experience in response to different conditions of learning.

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Superviseur du corps professoral :

Pierre Rainville

Étudiant :

Partenaire :

Centre de recherche de neuroscience de Lyon

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology; Life Sciences (not health); Artificial Intelligence

Université :

Université de Montréal

Programme :

Globalink Research Award

Development of Microneedle-Based Biosensing Systems

Microneedles are small sub-millimeter projections that allow for pain free access to the dermal layers of the skin. This allows for enhanced drug delivery and biosensing capabilities that are much more accessible and comfortable for the patient. This work aims to improve the capabilities of a solid metal microneedle system designed for use in electrical bio signal monitoring to enhance accuracy of the system while maintaining the simplicity of the current patch style electrodes used for electrocardiography (ECG), electromyography (EMG), etc. By utilizing an existing fabrication process for these microneedles, this work will study the impacts of array design, fabrication techniques, and surface modifications to improve system accuracy, leading to better patient outcomes, higher manufacturability, and increased reliability. Specifically this work will focus on the development of an electrode system for EMG analyses of patients with Parkinson’s disease.

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Superviseur du corps professoral :

Colin Dalton

Étudiant :

Partenaire :

University College Dublin

Discipline :

Engineering

Secteur :

Education

Université :

University of Calgary

Programme :

Globalink Research Award

Outcome and Resource Use of Patients with Primary Liver Cancer

Primary liver cancer (PLC) is one of the fastest growing cancer in Canada and is a heavy global burden. To efficiently allocate the health care resource to the patients with PLC, outcome and cost analysis of the patients with PLC may be a right direction. In order to obtain enough information to accurately assess the status of patients with PLC, this proposed study will take advantages of Electronic Health Record (EHR) data. EHR data is the original health care records of detailed information of patients during their hospitalization including not only the administrative information but also laboratory and radiological test results, death record, detailed cost information, detailed present and past illness, pathology diagnosis, records of use of medication etc. This work is unique and challenging because of extracting clinical data from EHR. This work is not only building foundation for analyzing large EHR and also generates robust models for predicting outcomes.

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Superviseur du corps professoral :

Hude Quan

Étudiant :

Partenaire :

Capital Medical University

Discipline :

Life Sciences

Secteur :

Education

Université :

University of Calgary

Programme :

Globalink Research Award

Design solutions for larger-diameter spoolable coating composite piping identifying opportunities and limitations

This project is motivated by a significant demand for eco-friendly and recyclable composite structures for lightweight spoolable composite piping for oil, gas and water applications. Therefore, this partnership (with Flexpipe at Mattr Infrastructure Technologies) aims to determine an application envelope for multilayer spoolable larger-diameter composite piping by considering lightweight fiber-reinforced thermoplastic composite structures. In addition, this project is crucial for the partner and Canada because: i) there is a growing need to improve the performance of composite structures that are recyclable and environmentally friendly in various sectors, such as oil and gas; ii) there is currently no clear understanding of the long-term performance of commercially available fiber-reinforced thermoplastic structures for the partner-specific applications, i.e., linepipe for oil/gas and water applications; iii) there is a scientific opportunity to contribute multi-scale testing and characterization of damage mechanisms due to aging and environmental exposure to the limited technical literature; iv) there are opportunities for knowledge transfer to other Canadian organizations dealing with issues in technology comparable to those faced by the partner, i.e., the use of durable, lightweight materials in harsh environments.

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Superviseur du corps professoral :

Pierre Mertiny

Étudiant :

Partenaire :

Flexpipe

Discipline :

Engineering

Secteur :

Oil and Gas; Advanced Manufacturing; Technology

Université :

University of Alberta

Programme :

Elevate

Adaptive instructional system for safe marine operations in icy waters

Seafarers need ice navigation training to protect the safety of people, the environment, and ships while driving in ice covered waters. In this project, Virtual Marine’s simulators will be used to create a new method of delivering ice navigation training – an adaptive instructional system. In an adaptive instructional system, a computer develops a personalized training experience for each student based on what they know, how they learn, and what skills they have. The goal of developing this adaptive instructional system is to make training more effective for individuals and attractive to potential customers, which could benefit Virtual Marine by improving its training programs and increasing its market share.

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Superviseur du corps professoral :

Brian Veitch

Étudiant :

Partenaire :

Virtual Marine

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Memorial University of Newfoundland

Programme :

Accelerate

L’évolution des groupes parlementaires à l’Assemblée nationale : des motivations individuelles aux effets institutionnels

Le projet de recherche explore l’augmentation du nombre de groupes parlementaires à l’Assemblée nationale française, passant de quatre en 2007 à dix en 2022, en examinant les facteurs qui expliquent cette évolution. Il examine si les modifications des règles de procédures de l’Assemblée, et notamment celles relatives aux groupes parlementaires, ont contribué à cette croissance. Le projet prend en compte le fait que la création de nouveaux groupes parlementaires implique des coûts pour leurs fondateurs et étudie l’impact des changements de règles sur ces coûts. L’analyse couvre la période de 1910 à 2022 et inclut des entretiens avec des députés et des assistants parlementaires des 15 dernières années pour évaluer l’influence des changements de règles sur l’augmentation des groupes parlementaires.

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Superviseur du corps professoral :

Jean-François Godbout

Étudiant :

Partenaire :

Université du Luxembourg

Discipline :

Sociology

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

LANGA – Big Data for Language Learning

LANGA is a project at Copernicus Studios (Halifax, NS) that is experimenting with the use of automated speech recognition in on-line video games to assist in language learning. Over the past 2 years, the company has been developing prototypes of the game and testing them in conjunction with the NeuroCognitive Imaging Lab at Dalhousie University. A key element to both the commercial success of the product and the research supporting its efficacy is scaling from lab-based testing of small numbers of people, to on-line delivery that supports thousands and possibly millions of users. In scaling to large numbers of users, we need to maintain the ability to test changes to the games and rapidly and accurately visualize the results of these tests. To enable this, we require the development of a robust and scalable database architecture (“back end”) to store user profiles and gameplay data. This database will need to be designed around both the needs of the game itself (e.g., tracking users and their progress), the unique demands of the speech recognition technology (storing sound files and speech recognition data).

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Superviseur du corps professoral :

Stan Matwin

Étudiant :

Partenaire :

Copernicus Studios

Discipline :

Computer science

Secteur :

Education; Professional, scientific and technical services

Université :

Dalhousie University

Programme :

Accelerate

Community Integration

Community Integration is a key indicator of long-term stability and well-being. However, few people with experiences of homelessness experience belonging within a community. This research project aims to discover the reasons for this disconnection through facilitated focus groups with individuals with lived experience and offer new opportunities for exploring new ways of achieving community integration. The objective of this project is to identify the expectations and needs of individuals in the HomeBase Program at The Alex to refresh and refine community integration intervention and improve outcomes for homeless or recently housed individuals.

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Superviseur du corps professoral :

Katrina Milaney;Karen Benzies

Étudiant :

Partenaire :

Alexandra Community Health Centre

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

University of Calgary

Programme :

Accelerate

Évaluation des projets entrepreneuriaux portés par les femmes et les minorités : le rôle des stéréotypes de genre et de l’intersectionnalité

Le projet se penche sur la manière dont les idées entrepreneuriales des femmes et des minorités sont perçues et financées. Il explore si des stéréotypes basés sur le genre et l’appartenance à des groupes minoritaires influencent ces perceptions et les financements disponibles. En d’autres termes, le projet examine si des préjugés liés au genre et à l’origine affectent la façon dont les projets entrepreneuriaux sont jugés et financés.
L’organisation partenaire, Evol, est impliquée dans le financement de projets entrepreneuriaux portés par des femmes et des minorités. Le projet permettra à Evol de mieux comprendre les défis liés aux stéréotypes et aux discriminations dans ce domaine. En collaborant avec des chercheurs, l’organisation obtiendra des données de recherche solides pour identifier et réduire les sources potentielles de discrimination. Ces connaissances aideront Evol à améliorer ses pratiques de financement et à promouvoir un environnement entrepreneurial plus équitable. En fin de compte, cela renforcera son rôle de soutien au développement de l’entrepreneuriat diversifié et inclusif au Québec.

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Superviseur du corps professoral :

Étienne St-Jean

Étudiant :

Partenaire :

Evol

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

Université du Québec à Trois-Rivières

Programme :

Accelerate

Development of High Definition 3D Models for Oil and Gas Structures and Pipelines

Virtual Models 3D models provide a fast and efficient way to visualize various structures and sites in the oil and gas industry. High definition ultra-high speed laser scanners will be used for acquiring the point cloud data to develop these 3D models. Once a set of point cloud data is obtained from a site the data needs to be processed. If multiple scans of sites are obtained from a given site it needs to register the scan data. The noise and outliers should also be removed from the scan data to improve the accuracy of these models. Depending on the application this data also needs to be converted into other compatible formats. Both high level and low level point cloud handling software could be used to perform these operations. Potential applications of the proposed research in oil and gas industry could be generation of as built scans of ongoing construction sites, checking dimensional integrity, performing scans of pipeline networks, asset management, building information modeling, scans of capping systems and generation of models of complex off shore structures.

Voir la description complète du projet
Superviseur du corps professoral :

Nicholas Krouglicof

Étudiant :

Partenaire :

ND Dobbin;Petroleum Research Newfoundland & Labrador

Discipline :

Engineering

Secteur :

Construction and infrastructure

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Applying Narreme Theoretic Principles to an AI-Enabled Semiotic Action Structure

My project for the Elevate Fellowship aimed to develop the “Narreme Engine” application to assess the validity of “Narreme Theory” — a concept I devised during my PhD, positing that stories consist of atomic narrative units called Narremes, which combine into more complex “Compounds” to convey narratives over time. The Narreme Engine sought to apply Artificial Intelligence algorithms for story analysis and generation. As we explored the project’s theoretical framework, we realized broader implications. Recent advancements in AI-generated narratives highlighted that the Narreme Engine could contribute to an AI-enabled semiotic action structure (i.e. dialogue-driven stories) in a much broader sense. This proposed Accelerate project seeks to integrate these insights, resulting in an authoring tool aligned with Narreme Theoretic principles embedded within the structure of real-time storytelling software. The partner organization anticipates that their ongoing product development will benefit from improved application outputs relative to other emerging AI-based authoring platforms.

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Superviseur du corps professoral :

Jamin Pelkey

Étudiant :

Partenaire :

Transitional Forms

Discipline :

Sociology

Secteur :

Information and cultural industries

Université :

Toronto Metropolitan University

Programme :

Accelerate

Bond Strength of Spaced and Bundled GFRP Deformed Reinforcing Bars in Concrete

Deformed fiberglass bars used to reinforce concrete has the potential for better bond to concrete than other types. Currently, design guides and codes for concrete structures include design provisions for bond strength of spaced bars only. Also, these provisions are based on sand-coated bars, which are different from deformed bars. Finally, code equations are based on splitting-bond failure which is typical for beams and slabs, but not for certain connections like barrier walls and bride decks. In large concrete structures, it is common to use bundled bars for speed and efficiency of construction. For this type, a bundling reduction factor is typically used for steel bars, but currently nothing equivalent is available for fiberglass bars. This study will launch a comprehensive full scale experimental program to address this gap. Both bundled bars and equivalent spaced bars will be tested to arrive at the development length. Bundles of two, three and four bars will be tested. Also, development length for pull-out rather than splitting failure will be established.

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Superviseur du corps professoral :

Amir Fam

Étudiant :

Partenaire :

MST Rebar Inc.

Discipline :

Engineering

Secteur :

Construction and infrastructure; Manufacturing

Université :

Queen's University

Programme :

Accelerate

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