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
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860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
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Projets par catégorie

Santé mentale et qualité des services prodigués par la brigade des feux : mieux comprendre les leviers potentiels d’intervention au travail

Ce projet de recherche en collaboration avec le service d’incendie de Moncton vise à mieux comprendre les difficultés vécues par les pompier(ière)s et les leviers potentiels d’intervention au travail face à ces problématiques. Ainsi, le présent projet vise à examiner le lien entre des exigences du travail (charge de travail et demandes émotionnelles), les ressources organisationnelles, la santé mentale et la qualité des services prodigués dans le cadre du travail de ces travailleur(euse)s. Environ 120 pompiers (ières) participent à cette étude où des entretiens et l’utilisation de questionnaires validés permettront de recueillir des informations sur les facteurs organisationnels (p.ex., charge de travail, perception de soutien, demandes émotionnelles, etc.) et individuels (p.ex., stress, symptômes d’épuisement professionnel, dépression, etc.). L’analyse de ces données devrait contribuer à mieux comprendre l’état de la situation, identifier les besoins des pompiers et discerner des pistes de solutions pour les soutenir. À la lumière de ces informations, une intervention ciblée pour le milieu partenaire sera développée afin de favoriser une meilleure santé mentale et des services de qualité offerts à la population.

Voir la description complète du projet
Superviseur du corps professoral :

Sophie Drouin-Rousseau

Étudiant :

Partenaire :

Mental Health Research Canada;City of Moncton

Discipline :

Sociology

Secteur :

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

Université :

Université de Moncton

Programme :

Accelerate

Cloud Orchestration for Machine Learning

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

Voir la description complète du projet
Superviseur du corps professoral :

Baochun Li

Étudiant :

Partenaire :

Agnostiq

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Développement d’hybrides PMMA-silice aux propriétés anticorrosives, bioactives et bactéricides pour les implants orthopédiques en alliages de titane.

Le titane et ses alliages métalliques sont largement employés dans les dispositifs médicaux pour la réparation ou le remplacement des os. Une intégration osseuse rapide est essentielle pour garantir la durabilité et l’efficacité des implants et éviter les infections bactériennes. Cependant, la formation de biofilms bactériens à la surface des implants en titane constitue un défi important et peut entraîner une inflammation et une défaillance prématurée du dispositif. Au Canada, un implant sur dix est infecté lors de l’implantation, ce qui oblige un traitement antibiotique post-opératoire.
Pour résoudre ce problème, nous étudions la modification des surfaces des implants au moyen de revêtements polymères antibactériens. Ces revêtements sont formulés avec des additifs conçus pour réduire l’infection, améliorer la compatibilité avec l’os et augmenter la résistance à la corrosion des implants. Parmi les additifs envisagés dans ce projet figurent les phosphates de calcium et d’argent, qui ont fait l’objet d’études scientifiques en raison de leurs propriétés bioactives et bactéricides, respectivement.
Outre les propriétés structurelles, la barrière contre la corrosion dans les fluides corporels simulés, la biocompatibilité et la bioactivité des revêtements précédemment développés, la candidate au doctorat impliquée dans cette recherche compte étudier et évaluer les propriétés antibactériennes des nouveaux recouvrements proposés.

Voir la description complète du projet
Superviseur du corps professoral :

Diego Mantovani

Étudiant :

Partenaire :

Universidade Estadual Paulista "Julio de Mesquita Filho"

Discipline :

Engineering

Secteur :

Technology

Université :

Université Laval

Programme :

Globalink Research Award

Analysis of Data from Polymeric Pressure Sensor for Cardiovascular Risk Assessment

Cardiovascular disease (CVD) is a leading cause of death and disability, with 1 in 3 of us at risk of the disease.
Screening for relevant biomarkers regularly can help prevent and manage CVD. This project focuses on the
acquisition and analysis of CVD biomarkers obtained using a device consisting of polymeric pressure sensors and
advanced machine learning algorithms. The biomarkers will be obtained by extracting features from dynamic
pressure changes captured by the polymeric pressure sensor. Deep learning and neuromorphic models will be
developed to automatically classify pressure changes data based on their Signal Quality Index (SQI) scores and
to determine relevant CVD parameters in a computationally efficient manner on edge devices.

Voir la description complète du projet
Superviseur du corps professoral :

Nilanjan Ray

Étudiant :

Partenaire :

Synapsis Medical

Discipline :

Computer science

Secteur :

Health and Related Sciences & Technology

Université :

University of Alberta

Programme :

Accelerate

Exploring the decoration of nanostructured nickel sub-oxides with single atoms for energy conversion electrocatalysis

The proposed project aims to advance energy conversion processes by developing an innovative method to create single atoms (SAs) on a nanostructured nickel oxide support layer, facilitating electrocatalytic oxygen generation. With a focus on enhancing hydrogen and oxygen evolution reactions, crucial for renewable energy generation, fuel production, and energy storage, the project addresses pressing global energy demands. By devising efficient and cost-effective electrocatalysts, it holds promise to significantly improve performance and scalability, thereby facilitating the transition to cleaner and more sustainable energy systems. Through data sharing and publication of research findings stemming from this endeavor, the University of Alberta and the University of Siegen are poised to solidify their positions as prominent contributors to the renewable energy sector, actively shaping its trajectory. This collaborative effort not only bolsters their academic prestige but also establishes them as crucial entities in driving innovation within the industry. Additionally, by mitigating challenges associated with traditional catalyst materials, such as limited availability and high cost, the project aims to overcome barriers to the widespread adoption of clean energy technologies, ultimately contributing to a more sustainable future.

Voir la description complète du projet
Superviseur du corps professoral :

Shiva Mohajernia

Étudiant :

Partenaire :

Universität Siegen

Discipline :

Engineering

Secteur :

Green/Alternative Energy; Nanotechnology; Energy and Utilities

Université :

University of Alberta

Programme :

Globalink Research Award

Data Analysis and Development of Cost Prediction Method for Renal Failure Care Delivery

Care of patients with renal disease is important and resource intense. Since we have an aging population with an increase in diabetes prevalence; the number of patients with renal disease is increasing and there is a need to develop strategies for more cost efficient care. The solution to this issue is home dialysis which is an alternative to the conventional hospital-treatment. Home dialysis is able to reduce the cost of the care delivery and also enhance the quality of health care for the patient. This process is monitored and facilitated by eQOL using a novel mobile technology solution. The goal of this project is to collect the data, gathered from home dialysis patients either electronically or by Health Care Team, and analyze it to quantify and predict the cost care delivery across different patient groups and time periods. This prediction will be able to forecast the total cost of care in a time period for a given patient with a set of input data. This information is valuable to health care administrators to accurately quantify the cost of care delivery and plan the budget accordingly.

Voir la description complète du projet
Superviseur du corps professoral :

Chao Zhang

Étudiant :

Partenaire :

eQOL Inc

Discipline :

Computer science

Secteur :

Health and Related Sciences & Technology; Information and Communications Technology; Public Service, Policy, and Governance

Université :

Western University

Programme :

Accelerate

Thermal Management System for High-Temperature Thermal Energy Storage Applications

This proposal focuses on enhancing renewable energy utilization by developing efficient thermal energy storage systems. By leveraging technologies like microscale flow channels that are reported to provide high heat transfer coefficients, the project aims to improve heat extraction rates, enabling better integration of renewable power generation systems with thermal storage. The collaboration between the University of Alberta in Canada and NUST in Pakistan will not only advance research in sustainable energy solutions but also contribute to addressing global challenges related to industrial heat demand and climate change. Through systematic investigation, the project seeks to overcome technical hurdles and establish reliable, compact, and cost-effective coupling systems, benefiting both research institutions and the wider community striving for cleaner energy alternatives.

Voir la description complète du projet
Superviseur du corps professoral :

Muhammad Taha Manzoor

Étudiant :

Partenaire :

National University of Sciences and Technology

Discipline :

Engineering

Secteur :

Clean Technology; Energy and Utilities; Sustainability & the Environment

Université :

University of Alberta

Programme :

Globalink Research Award

Development of a computational pipeline to mine phage endolysin sequences from metagenomic datasets

The resistance of bacteria to antibiotics is a growing problem that we need to address, for example, through the development of alternative treatments. Bacteriophages, or phages, the viruses of bacteria, have been proposed as a potential avenue for the treatment of recurring bacterial infections or against multi-resistant bacteria. Even more promising, are proteins encoded by phages, called lysins, that attach to the bacterial cell wall and degrade it, eventually leading to the death of a target bacterium. Their natural diversity, matching the diversity of bacteria, only adds to their potential as a source to develop treatments. The goal of this project is to develop a computational tool to mine phage lysins from phage protein datasets. Such powerful computational tools for the discovery of new phage lysins could lead to the development of new alternative treatments to antibiotics targeting harmful bacteria. This project will combine the expertise of the host institution on lysins and that of the home institution in informatics for the development of a tool that will benefit the research conducted on phages in both institutions, and even more broadly to the research field interested in the development of alternative treatments to antibiotics.

Voir la description complète du projet
Superviseur du corps professoral :

Elsa Rousseau

Étudiant :

Partenaire :

Ghent University

Discipline :

Computer science

Secteur :

Education

Université :

Université Laval

Programme :

Globalink Research Award

“Improving Flexural Strength Predictions in Composite Materials using Image Processing and Machine Learning”

This project aims to improve the way we assess the strength of short fiber reinforced composites, focusing on sustainability. By exploiting the distinct visibility traits of PEEK and carbon fibers in CT scans, the study will utilize non-destructive testing and computer algorithms to analyze and measure factors critical to the material’s strength directly from scan images. Through a combination of 2D and 3D imaging techniques and machine learning, the research intends to streamline the analysis of large data sets and develop a predictive model linking scan images to the composite’s mechanical properties.
The collaboration between York University and Prof. Gupta at New York University aims to leverage intern’s skills in micro-CT scanning and image processing to advance research in composite materials. The joint work will not only contribute to the lab’s research objectives but also enhance the intern’s understanding of machine learning and the relationship between imaging techniques and material properties. With the intern’s expertise in material charactersation, CT scanning and image processing, this partnership is expected to yield innovations in sustainable material testing and development, benefiting both institutions by fostering academic growth and opening new research avenues in materials science.

Voir la description complète du projet
Superviseur du corps professoral :

Reza Rizvi;Garrett Melenka

Étudiant :

Partenaire :

New York University Polytechnic School of Engineering

Discipline :

Engineering

Secteur :

Artificial Intelligence; Technology; Advanced Manufacturing

Université :

York University

Programme :

Globalink Research Award

Development of an economical organic Rankine cycle (ORC) modular rig using low-temperature geothermal heat sources

This proposal aims to address the urgent need for clean energy solutions in Canada, particularly focusing on harnessing geothermal energy to meet electricity demands. By utilizing an Organic Rankine Cycle (ORC) system, which efficiently converts geothermal heat into electricity, the project seeks to develop a modular rig integrated with parallel turboexpanders for enhanced performance. This initiative not only aligns with Canada’s goal of achieving net-zero emissions by 2050 but also offers practical solutions for sustainable energy production. The participating institutions, including the University of Alberta in Canada and NUST in Pakistan, will benefit from collaborative research, innovation, and the training of interns in cutting-edge energy technologies, thereby contributing to global efforts in combating climate change.

Voir la description complète du projet
Superviseur du corps professoral :

Muhammad Taha Manzoor

Étudiant :

Partenaire :

National University of Sciences and Technology

Discipline :

Engineering

Secteur :

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

Université :

University of Alberta

Programme :

Globalink Research Award

Impact assessment of delineated management zones and variable nitrogen application rates in potato production using artificial intelligence techniques

Prince Edward Island (PEI) potato production represents 23% of the total production in Canada, contributes 6.6% in the local provincial economy, therefore maintaining higher potato yield is the main goal of local farmers. This can be achieved through proper management practices including nutrients supply such as nitrogen. Nitrogen (N) is the one of the most limiting nutrient in potato (Solanum tuberosum L.) growth and plays a significant role in yield attributing factors such as plant emergence, plant height and weight of tuber per plant. However, uniform application of N fertilizer without considering spatial variability in terms of soil physicochemical properties and other environmental factors, leads to overuse of N fertilizer. The excess N supply leads to premature leaf senescence, low starch content, reduction in tuber yield and promotes nitrate loss through leaching, causing environmental pollution. To our knowledge, few studies have been carried out to reduce within field spatial variability using combined approach of integrating soil proximal sensor data with previous years tuber yield along with the artificial intelligence techniques to monitor in season N dynamics and tuber yield. Therefore the goal is to explore the optimization of N application in potato production to improve yield and minimizing N loss.

Voir la description complète du projet
Superviseur du corps professoral :

Antoine Karam

Étudiant :

Partenaire :

Walloon Agricultural Research Centre

Discipline :

Earth science

Secteur :

Agriculture and Food; Artificial Intelligence; Environmental Science and Technology

Université :

Université Laval

Programme :

Globalink Research Award

Studying the process-properties relationship of a new thermoplastic lignocellulose

Canada stands well positioned to becoming a commercial leader in sustainable materials, especially when based on the waste of our natural resources like forestry pulp. A flowable bioplastic being developed at Agapyo, came out of the research at McMaster University and promises to replace petroleum-based plastics meant for structural applications. Agapyo and McMaster are working together to rapidly bring this new material to market while simultaneously learning more about how the chemistry and extrusion processing environment interact on a fundamental level. The post doctoral fellow will study the interactions of chemistry and process, and translate the results into useable guidance for Agapyo’s manufacturing group.

Voir la description complète du projet
Superviseur du corps professoral :

Michael Thompson

Étudiant :

Partenaire :

Agapyo

Discipline :

Engineering

Secteur :

Manufacturing

Université :

McMaster University

Programme :

Accelerate

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