Projets novateurs réalisés

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

30156 projets achevés

2861
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5059
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812
MB
673
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842
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8957
ON
9368
QC
96
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579
NB
1120
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Projets par catégorie

Developmental Evaluation of a Province-Wide Personal Health Records Application

MyHealthNB is a province-wide personal health records (PHR) application that provides all New Brunswick citizens digital access to their health information, including lab results, immunization records, medication lists, and imaging reports. Although MyHealthNB was developed with aim of empowering New Brunswickers to be more actively involved in their health and healthcare, the solution has yet to be evaluated from the perspectives of patients, caregivers, and healthcare providers. Through a partnership between Sinai Health (the academic partner that houses Dr. Voorheis and Dr. Steele Gray) and VeroSource Solutions Inc. (the industry partner who developed MyHealthNB using their cloud based digital front door solution), an evaluation will be conducted on MyHealthNB. This evaluation will focus on exploring MyHealthNB’s design (i.e., how New Brunswickers interact with MyHealthNB’s interface and features), implementation (i.e, how New Brunswickers are learning about MyHealthNB and accessing it), and impact (i.e., how New Brunswickers feel MyHealthNB is impacting their healthcare experiences). The purpose of this evaluation is to inform improvements to MyHealthNB and to learn about how to we can design more empowering PHR applications in the future.

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Superviseur du corps professoral :

Carolyn Steele Gray

Étudiant :

Partenaire :

VeroSource Solutions Inc

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Elevate

A behavioural planning capability for autonomous aircraft

The objective is to expand on current collision avoidance path planning frameworks in a two-fold manner, improving prediction as well as decision-making components. The first task is to improve prediction models and generate maneuver bands for air traffic circuit navigation. The second task is to then improve the decision-making framework to select the pseudo-optimal maneuver, i.e. the maneuver that is safe and most similar to one performed by a human pilot in the same situation. This will most likely require the development of a novel metric that scores each maneuver allowed by ownship performance limits such that maneuvers can be ranked and the pseudo-optimal maneuver can be selected. The work is expected to leverage NASA Langley’s DAIDALUS framework as a starting point, and may involve additional frameworks (e.g. ACAS-Xu, TCAS II-7.1) as the project evolves. Implementing an improved behavioural planner that expands on state-of-the-art frameworks will allow Ribbit to facilitate safe and expedient flight operations out of uncontrolled airports.

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Superviseur du corps professoral :

Krzysztof Czarnecki

Étudiant :

Partenaire :

Ribbit

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Accelerate

Optimize user behavior in social games through identification and dynamic adaptation to player attributes

In this project, the candidate will gather new & utilize existing data in conjunction with machine learning algorithms to optimize various aspects of how one (or more) social games operates. Experiments will be proposed and run in order to gather operational data. This data will be used in conjunction with existing player & game data in order to identify, test, and apply different machine learning algorithms and statistical models. An adaptive platform will be used to apply the models/algorithms, and continually update and optimize player behavior. Optimial behavior shall determined by measuring impact on key game metrics such as number of days game is played, number of actions taken in game, revenue per user, number of social interactions and quality of social interactions (duration, frequency).

Voir la description complète du projet
Superviseur du corps professoral :

Eugene Fiume

Étudiant :

Partenaire :

Zynga Game Network Canada Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Near-Term Quantum Algorithms for Simulation of Spectroscopy

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

Voir la description complète du projet
Superviseur du corps professoral :

Nathan Wiebe

Étudiant :

Partenaire :

Xanadu

Discipline :

Physics

Secteur :

Information and cultural industries; Manufacturing; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Integrating Diverse Sampling Sources for Enhanced Discrete Fracture Network Modeling of Open Pit Mine Slopes

This research project consists of the application of Discrete Fracture Network (DFN) modeling techniques to model the geological fractures within rock formations, with a specific focus on open pit mines. The central challenge lies in accurately representing the spatial distribution of fractures in rock masses. To overcome this challenge, advanced statistical methods and computational simulations are utilized to construct create fractures in 3D domains. The integration of DFN with advanced numerical methods, such as the discrete element method (DEM), enhances stability analyses, offering valuable insights. However, the computational demands associated with 3D models present constraints on fully exploring the probabilistic nature of these numerical models.
The primary objective of this research is to develop an advanced DFN model for open pit mines, leveraging information from multiple geological sampling sources (boreholes and rock outcrop mapping). This includes establishing an automated DFN input database, creating a model capable of capturing spatial variability and addressing uncertainties, and formulating a methodology for DFN-based slope stability analysis in computer clouds. This research not only contributes to advancing DFN methodologies but also addresses practical engineering challenges in large-scale projects.

Voir la description complète du projet
Superviseur du corps professoral :

Pedro Cacciari

Étudiant :

Partenaire :

ArcelorMittal (Longueuil, QC)

Discipline :

Engineering

Secteur :

Manufacturing; Mining

Université :

Polytechnique Montréal

Programme :

Accelerate

Nanostructured Blends of Organic Semiconductors

Organic semiconductors have driven the development of next generation technologies such as printable solar cells, flexible displays, and wearable electronics. Such devices are based on thin films of organic semiconductors, often blended with other semiconductors or nanomaterials. The structure and morphology of a thin film plays a crucial role in the performance and efficiency of organic electronic devices. For instance, charge transport may depend on the size, arrangement, and orientation of crystalline features. X-ray diffraction is a traditional method to study structure, however, it provides limited information for organic semiconductors and their blends. On the other hand, x-ray scattering is a advanced technique to comprehensively study structure in thin films of organic semiconductors. The Müller-Buschbaum Group at the Technical University of Munich is a global leader of x-ray scattering techniques for organic semiconductors. This project studies the relationship between structure and optoelectronic properties of novel organic semiconductors used in green energy applications. This collaboration leverages novel nanocomposites formed by the Shankar group with the advanced characterization expertise of the Müller-Buschbaum group. Our findings will help guide the design of next generation energy materials and represents a step towards the realization of highly efficient photocatalytic and photovoltaic devices.

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Superviseur du corps professoral :

Karthik Shankar

Étudiant :

Partenaire :

Technical University of Munich

Discipline :

Engineering

Secteur :

Clean Technology; Sustainability & the Environment; Nanotechnology

Université :

University of Alberta

Programme :

Globalink Research Award

Past and current Bitcoin adopters in Canada

The popularity of cryptocurrencies has continued to increase over the past years, raising serious policy concerns among Central Banks. Given the Bank of Canada’s role in maintaining financial stability, its 2019 Financial System Review identified the evolution of the cryptoasset market as one of six financial vulnerabilities that need to be monitored closely. Currently, in Canada, Bitcoin and other cryptocurrencies are in the early stages of adoption, and the size of this market is not yet large enough to pose significant risks to the financial system. However, this may change quickly. Therefore, it is essential to better understand consumer adoption and usage of Bitcoin and its counterparts over time, along with individual expectations about the crypto market.

Voir la description complète du projet
Superviseur du corps professoral :

Joann Jasiak

Étudiant :

Partenaire :

Bank of Canada

Discipline :

Sociology

Secteur :

Finance and Insurance; Manufacturing; Public administration

Université :

York University

Programme :

Accelerate

Analysis of Cross-infection Risk with Mechanical Ventilation System Operations in Uncertain Indoor Environments

As the need for pandemic preparedness, assessing cross-infection risks based on the given indoor environmental conditions is crucial for preventing the spread of group infections. The objective of this research project is to analyze cross-infection risks with various types of mechanical ventilation systems in uncertain environments, such as locations and distances of the infector and susceptible, and also with the simultaneous operation of an air conditioner. The particle dispersion experiment was conducted for four types of mechanical ventilation systems (Ceiling-type, Standing-type, Wall-mounted, and Vertical lamina airflow system), and we aim to design the evaluation framework and analyze the cross-infection risks with obtained experimental data through this project. The methods for experimentally assessing the risk of infection and analyzing it are currently diverse. If researchers with relevant evaluation experience exchange knowledge and experiences, research results can be analyzed effectively from multiple perspectives. Moreover, interacting with the different situations each country is taking for infection prevention can provide ideas for developing more advanced technologies and exploring infection prevention plans in the future.

Voir la description complète du projet
Superviseur du corps professoral :

Jeffrey Siegel

Étudiant :

Partenaire :

University of Seoul

Discipline :

Life Sciences

Secteur :

Environmental Science and Technology; Health and Related Sciences & Technology; Sustainability & the Environment

Université :

University of Toronto

Programme :

Globalink Research Award

Conception d’un protocole de laboratoire pour l’obtention de données hématologiques d’espèces non mammaliennes

Des bilans sanguins sont régulièrement réalisés en médecine vétérinaire. Ces analyses peuvent également être utilisées pour les espèces fauniques, dans diverses situations. Ces bilans présentent deux volets : la biochimie et l’hématologie. Le deuxième volet permet d’obtenir de nombreuses données sur le sang et sur toutes ses composantes. Pour effectuer ces analyses, les vétérinaires ont le choix entre envoyer le sang en laboratoire externe ou faire eux-mêmes les analyses. Un des appareils pouvant être utilisé est le ProCyte Dx, comme celui que possède le laboratoire d’écophysiologie de l’UQAR. Ces appareils sont calibrés et conçus pour le sang de mammifères, mais le sang d’oiseaux, de reptiles ou d’amphibiens pose problème à cause de la présence de noyaux dans leurs globules rouges. Cette caractéristique cellulaire peut biaiser de nombreux résultats. Le présent projet vise donc à (1) déterminer quels résultats obtenus avec le ProCyte Dx sont utilisables et (2) quantifier le niveau d’erreur dans les résultats. Puis, en fonction des résultats, pour pallier ce problème, un protocole d’analyse spécifique et validé sera développé pour optimiser l’utilisation de l’appareil par les cliniques vétérinaires.

Voir la description complète du projet
Superviseur du corps professoral :

Francois Vezina

Étudiant :

Partenaire :

Clinique Vétérinaire Vraiment Bête Inc

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Université du Québec à Rimouski

Programme :

Accelerate

Investigating cathode materials and alloying impact on Li-mediated nitrogen reduction reaction

The project studies the green production of ammonia (NH3) for use in fertilizers and as a green fuel. In the method we are studying, connecting an electrochemical cell to a power source allows nitrogen (N2) gas to react with electrons (e-) and protons (H+) on the negative electrode (cathode) to produce NH3. To increase the efficiency of this reaction, lithium (Li) can be used in the solution to help break the N2 bonds on the cathode surface. We aim to comprehensively study the effect of the cathode material on the performance of this Li-mediated reaction for the first time. The host institute will benefit from the novel information obtained, and for the home institute, the intern will share experiences and help set up a system for studying Li-mediated NH3 production for the first time in Canada.

Voir la description complète du projet
Superviseur du corps professoral :

Daniel Guay

Étudiant :

Partenaire :

Delft University of Technology

Discipline :

Physics

Secteur :

Education

Université :

Université du Québec : Institut national de la recherche scientifique

Programme :

Globalink Research Award

Adjusting Cognitive Loads of Operators from Visual Inputs

Simulation-based training is an critical supplement to current clinical training. However, implementing simulation technology into a curriculum to maximize training outcomes still presents a significant challenge. It is important to consider multiple factors and their impact on trainee cognitive load. In the past, we have adjusted the target stability to manage the cognitive load of surgical trainees. This study aims to regulate cognitive load by adjusting target visual conditions. Participants will perform a thread ring passing task under three visual conditions: high, neutral, and low resolution views. The study investigates how changes in visual conditions can affect cognitive load and training outcome. This research may lead to more effective simulation curriculum design. The task will be performed in collaboration with scientists at the National Taiwan University of Science and Technology. One intern (Yun Wu, a PhD student), will be supported by GRA funds for 12 weeks.

Voir la description complète du projet
Superviseur du corps professoral :

Bin Zheng

Étudiant :

Partenaire :

National Taiwan University of Science and Technology

Discipline :

Life Sciences

Secteur :

Education

Université :

University of Alberta

Programme :

Globalink Research Award

Experimental investigation of the icing of a drone rotor in wind tunnel

A collaboration between experts in the domain of drone icing. A drone rotor will be installed in an icing wind tunnel to simulate flying under different atmospheric icing conditions. The resulting ice accumulation on the rotating blades will be studied as well as its effect on the drone performances and ability to fly. Scans of the ice shapes will be done as well as an investigation of the type of ice obtained and its corresponding properties. The research will allow to improve the testing capabilities of the University in that very novel and important domain. It will also allow the publications of research papers in peer reviewed journal and increase the visibility of the researchers and inform the scientific communitee of the testing potential and expertise of the University.

Voir la description complète du projet
Superviseur du corps professoral :

Eric Villeneuve

Étudiant :

Partenaire :

Norwegian University of Science and Technology

Discipline :

Engineering

Secteur :

Education

Université :

Université du Québec à Chicoutimi

Programme :

Globalink Research Award

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