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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96
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579
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Projets par catégorie

Illuminating Substrate-Recognizing Mechanisms in the Haemophilus influenzae Immunoglobulin A1 Protease

Immunoglobulin A1 proteases (IgAPs) are biological catalysts (enzymes) produced by many pathogens of the human respiratory tract. Their ability to infect these tissues heavily relies on IgAPs, so much so that those unable to produce a functional enzyme are unable to cause disease. As blocking IgAP activity theoretically halts the infection process, IgAPs are a worthwhile target for drug-developing research aimed at finding new respiratory infection treatments. If successful, these new therapeutics will provide a much-needed alternative to traditional antibiotics, especially important considering the foreseeable consequences of antibiotic-resistant bacteria. Unfortunately, this is still in the distant future. Scientists currently do not fully understand the mechanisms guiding IgAP function, information needed to increase the chances of developing a successful clinical drug. I will bridge this gap by using cryogenic electron microscopy to illuminate molecular interactions between a specific IgAP and the molecule it naturally acts on. This will provide atomic-level information that will guide future research on new treatment options against respiratory infections.

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Superviseur du corps professoral :

Todd Holyoak

Étudiant :

Partenaire :

University of Colorado Denver

Discipline :

Life Sciences

Secteur :

Education

Université :

University of Waterloo

Programme :

Globalink Research Award

Play for Reality: Conveying Sustainability Challenges Through Game Mechanics

Several Ontario regions have agreed to reduce their carbon emissions by 80% by 2050. However, many of these cities don’t actually have a plan for how they’ll reach this noble but challenging goal. In response, the Waterloo Global Science Initiative (WGSI) (in partnership with several Waterloo Region collaborators) has created a prototype board game called Energize: its goal is to draw attention to the challenges and the solutions of how a city can reduce carbon emissions.

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Superviseur du corps professoral :

Neil Randall

Étudiant :

Partenaire :

Waterloo Global Science Initiative

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Accelerate

Evaluating Team Unbreakable: A learn-to-run program for adolescent mental health

Given the rise in adolescent mental health concerns, Canadian secondary schools are increasingly focused on implementing programs aimed at improving mental resilience in students. One such program is Team Unbreakable, a 10-week, learn-to-run program that is based on four theoretically driven program components: goal-oriented, group-structured, within the school context, and physical activity based. This program has been implemented in 117 schools, with nearly 10,000 students participating over the last five years across southern Ontario. Unfortunately, this program has yet to be evaluated. The present collaboration proposes a research study to explore the effectiveness and acceptability of this program. Students will be asked to complete a self-report questionnaire on key outcome indicators and participate in semi-structured interviews to discuss their program experiences. The findings from this evaluation will guide the growth and development of this program as Team Unbreakable goes through critical structural changes.

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Superviseur du corps professoral :

Catherine Sabiston

Étudiant :

Partenaire :

Team Unbreakable

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

University of Toronto

Programme :

Accelerate

Modeling of the Wear Performance of Carbide-Based Overlays and Coatings

Surface degradation during Oil & Gas and Mining operations in the Province of Alberta are pervasive. This has resulted in extensive research and development activities into the development of advanced surface modifications that are based on overlays and coatings. Most research effort has focused on materials selection, fabrication, and optimization of wear performance of those modifications through experimentation, trial-and-error, and microstructural analysis. This proposed research project has been designed with a view to developing advanced modelling solutions that will result in a priori prediction of wear and erosion behavior of select overlay and coating systems. By developing such solutions in collaboration with the partner organization, InnoTech Alberta, the applicants expect that the partner organization will be able to select and test the performance of appropriate overlay and coatings materials without incurring significant costs and will be able to deploy suitable overlay and coating solutions efficiently into the stream of commerce.

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Superviseur du corps professoral :

André McDonald;James Hogan

Étudiant :

Partenaire :

InnoTech Alberta

Discipline :

Engineering

Secteur :

Advanced Manufacturing; Energy and Utilities; Oil and Gas

Université :

University of Alberta

Programme :

Accelerate

Experimental and numerical study of PEM electrolysis

The proposed project aims to understand and optimized the performance of hydrogen production from renewable energy sources using PEM electrolysis cell. Experimental study of PEM electrolysis cells will be conducted at the University of Tokyo along with numerical simulation. Three-dimensional numerical model using ANSYS Fluent Electrolysis module will be developed. Fluid flow, heat and mass transfer as well as electrochemistry inside the PEM electrolysis cell will be quantified and validated. Effect of various design and operating parameters will be evaluated to arrive at the most optimum condition. This research will contribute on the efficiency improvement of PEM electrolysis cells for hydrogen production from renewable energy.

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Superviseur du corps professoral :

Agus Sasmito

Étudiant :

Partenaire :

The University of Tokyo

Discipline :

Engineering

Secteur :

Education

Université :

McGill University

Programme :

Globalink Research Award

Micro-structural characterization of hydrothermal phyllosilicates associated with precious metals

Hydrothermal gold deposits contribute a noteworthy fraction of the world’s gold endowment. These deposits are characterized by the widespread occurrence of hydrothermal alteration formed during the interaction of hydrothermal fluids with the wall rocks, which induces important mineralogical and geochemical changes to the original rock.
The main objective of this research is the detail characterization of hydrothermal minerals in close spatial and genetic relation to precious metals (gold and silver) in various hydrothermal gold occurrences on the island of Newfoundland (Canada). Such an objective will be achieved by integrating an innovative combination of state-of-the-art analytical techniques and mineral modelling at Texas Tech University. Analytical techniques include X-Ray Diffraction (XRD) and Scanning Electron Microscopy (SEM). XRD will provide information on the crystal structure and mineralogy of the samples, while SEM will allow observations on the surface topography and morphology of studied minerals.
The outcome data will be a crucial part of my PhD research, since it will give valuable information on the processes related to the occurrence of gold and silver in Newfoundland.

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Superviseur du corps professoral :

Graham Layne

Étudiant :

Partenaire :

Texas Tech University

Discipline :

Earth science

Secteur :

Education

Université :

Memorial University of Newfoundland

Programme :

Globalink Research Award

Time-series forecasting

The Internet of things is a global infrastructure that enables advanced services by interconnecting physical and virtual things like smartphones, sensors, computers, machines or buildings. These devices typically create enormous amounts of data that can be used to create business value. Mnubo offers a software dubbed Smart Objects that is a comprehensive, full stack IoT data platform, which allows enterprises to transform IoT data into critical insights that can be used for maximizing their profit (e.g. In agriculture, one could optimize the irrigation rate to maximize crop production). In this context, small gains in the accuracy of their forecast results in big rewards for their clients, therefore, in order to stay relevant, Mnubo has invested heavily in time series prediction models. In this project our goal is to improve upon the forecasting models that Mnubo has already implemented.

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Superviseur du corps professoral :

Yoshua Bengio

Étudiant :

Partenaire :

Mnubo Inc

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

Hydraulic Vortex Optimization of a Recessed Impeller Pump

Toyo Pumps is performing research to upgrade their current line of recessed impeller or vortex pumps. Currently, these pumps can only operate in very limited and specific conditions. The goal is to redesign these pumps to allow them to operate in a wider variety of conditions and improve the efficiency, producing more work at a lower power cost. New designs will be made using advanced technology that makes it possible to virtually investigate hydraulic designs using software that simulates the flow through a pump. This allows for designs to be completed before ever constructing an actual pump. These advanced methods also make it possible to find and investigate designs that may be non-obvious and more complicated than if designed using traditional theoretical methods. These new and improved designs will give greater flexibility of use to the end user and save in power costs, reducing their footprint.

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Superviseur du corps professoral :

Siamak Arzanpour

Étudiant :

Partenaire :

Toyo Pumps North America Corporation

Discipline :

Engineering

Secteur :

Manufacturing; Mining

Université :

Simon Fraser University

Programme :

Accelerate

Examining the barriers and facilitators to trauma registry sustainability in the Global South

Injury is a leading cause of death and disability world-wide, however rates are especially high for low- and middle-income countries (LMICs). Trauma registries— databases that document information on the injured patient related to the injury event, demographics, process of care, and outcome— are commonly used in high-income countries and have proven extremely effective in reducing rates of death and disability through informing injury prevention and quality improvement programs. Their use in LMICs is less common due to the financial and human resource constraints of hospitals in many of these settings. In recent years, innovative strategies have been used to overcome some of these constraints. The purpose of this project is to examine both the barriers and strategies that facilitate trauma registry sustainability—with a specific focus on the use of m-health technologies—to create a resource toolkit that can be used to improve how trauma registries are implemented and operated in the global south.

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Superviseur du corps professoral :

Nadine Schuurman

Étudiant :

Partenaire :

T6 Health Systems

Discipline :

Sociology

Secteur :

Information and cultural industries

Université :

Simon Fraser University

Programme :

Accelerate

Active Vision in Robotics for Optimal Mobile Camera Sensor Planning

Active vision or perception is one that can manipulate the viewpoint of the cameras in order to investigate the environment, and get better information from it. It mostly encourages the idea of moving a visual sensor to constrain interpretation of its environment. This research in active vision is concerned with determining the 3D pose and configuration for visual sensor, it plays an important role in by purposefully configuring and placing the visual sensor at several positions to observe a target, obtain the optimal quality of data as the input of objection detection and pose estimation technologies.

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Superviseur du corps professoral :

Florian Shkruti

Étudiant :

Partenaire :

Epson Canada Ltd

Discipline :

Computer science

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Rénovation urbaine et gentrification à Rio de Janeiro

Le présent projet porte sur l’action des mouvements sociaux luttant pour le droit au logement à et la ville à Rio de Janeiro, en particulier autour des enjeux de la gentrification, de la revitalisation urbaine et des évictions en tenant compte des dimensions territoriales du système d’éducation. Ce projet me permettra de connaître davantage la situation brésilienne autour des questions de logement et de sociologie urbaine, en particulier sur les enjeux de la gentrification. La question qui oriente notre projet est la suivante : comment se construit l’action des mouvements sociaux, luttant pour le droit au logement à et la ville à Rio de Janeiro, autour des enjeux de la gentrification, de la revitalisation urbaine et des évictions? Nos objectifs dans ce projet sont doubles. Dans un premier temps, nous souhaitons comprendre à la fois le phénomène de la gentrification à Rio de Janeiro et comment s’organise la lutte contre celle-ci pour y ressortir les liens avec le développement territorial et le système d’éducation. Dans un deuxième temps, et parce que nous travaillons sur ce sujet à Montréal au sein du Collectif de recherche et d’action sur l’habitat, nous cherchons à comparer ces phénomènes entre ces TO BE CON’T

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Superviseur du corps professoral :

Hélène Bélanger

Étudiant :

Partenaire :

Universidade do Estado do Rio de Janeiro

Discipline :

Sociology

Secteur :

Education

Université :

Université du Québec à Montréal

Programme :

Globalink Research Award

Noise reduction, dereverberation and binary neural networks for improved automatic speech recognition

Technologies using vocal commands are very useful in situations where hands cannot be used (e.g. wearing gloves or in factory settings to operate complex machines). The performance of automatic speech recognition systems decreases significantly in the presence of noise or reverberation (i.e. echoes on objects and walls). This projects aims at improving the performance of our partner’s automatic speech to intent recognition (ASIR) system by reducing environmental noise and reverberation. We will reduce noise by separating speech signals from noise signals, exploiting their independence. We will also develop signal processing methods to reduce the reverberation that distorts speech signals in a room. Our partner’s system must function without any internet connection and must also minimise its energy consumption. For this purpose, we will develop binary neural networks for ASIR. The methods developed will be integrated into a single system that will be designed to be optimized globally.

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Superviseur du corps professoral :

Antoine Saucier

Étudiant :

Partenaire :

Fluent.AI Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

Accelerate

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