Projets novateurs réalisés

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

31 133 projets complétés

2940
AB
5159
C.-B.
837
MB
685
NL
882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
NS

Projets par catégorie

Development, techno-economic analysis, and life cycle assessment of a novel CO2 utilization method for polyethylene production

The purpose of the project is to manufacture low- and high- density polyethylene from CO2. These products are the result of an energy-intensive process, steam cracking. This process is known for its high CO2 emissions, and this is something that the whole world is trying to reduce, because of its global warming impacts. Therefore, CO2 will be captured from flue gas, and added to hydrogen, which will be produced via the electrolysis of water. These compounds undergo a reaction known as reverse water-gas shift, and produce CO and water. Adding H2 to CO forms syngas, which will then be converted to ethane. Ethane will then in turn be converted to ethylene via a process known as chemical looping oxidative dehydrogenation. From there LDPE and HDPE can be produced. It is expected that such a process will emit less CO2 than steam cracking, and even have negative CO2 emissions
in areas where renewable electricity is used.

Voir la description complète du projet
Superviseur du corps professoral :

Yaser Khojasteh-Salkuyeh

Étudiant :

Partenaire :

Université Catholique de Louvain

Discipline :

Engineering

Secteur :

Education

Université :

Concordia University

Programme :

Globalink Research Award

The effect of genre on syntactic complexity in English L2 writing

By using second language (L2) written corpus data, this study explores the effect of different genres (i.e., argumentative,
expositive, narrative, and descriptive) on syntactic complexity measures. Previous studies have noted that specific genres require unique sets of linguistic features, including measures associated with syntactic complexity. Therefore, the analysis will identify which complexity features are uniquely associated with specific genres. The expected outcomes include contributions to the measurement of complexity in L2 writing and pedagogical approaches for helping L2 speakers develop the complexity features associated with expert writing.

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Superviseur du corps professoral :

Kim McDonough

Étudiant :

Partenaire :

Northern Arizona University

Discipline :

Sociology

Secteur :

Education

Université :

Concordia University

Programme :

Globalink Research Award

Building Footprint Extraction from Remotely Sensed Data

The primary objective of this project is to automatically extract accurate footprint maps of buildings from remotely sensed data
such a satellite/aerial images. In recent times, deep learning approaches have shown significant progress and success in
processing remote-sensing image data. Most prevailing techniques used for this task often involve using pixel-level classification
deep learning techniques that involve extensive post-processing to generate the required building footprints. These methods often
fail to accurately capture the boundaries and corners of building footprints which are crucial in several downstream tasks.
Therefore, this project will focus on developing an end-to-end deep learning neural network architecture that can directly predict
accurate building footprint polygons from remote sensing data. These resulting building footprint polygons can be used directly in
downstream GIS, mapping, and reconstruction tasks, without the need for any post-processing operations.

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Superviseur du corps professoral :

Charalambos Poullis

Étudiant :

Partenaire :

Cyprus University of Technology

Discipline :

Computer science

Secteur :

Artificial Intelligence; Construction

Université :

Concordia University

Programme :

Globalink Research Award

Enhanced Perception for Autonomous Truck Mounted Attenuator (ATMA) to Increase Work Zone Safety

This project makes an existing Autonomous Truck Mounted Attenuator (ATMA) system fully operational for Canadian harsh weather conditions and develops an augmented perception framework to enhance motion planning of the control system. The primarily focus of ATMA is ensuring the safety of highway workers and transportation infrastructure in work zones. On successfully understanding the existing control system, perception module will be augmented visual and radar information for reliable decision making and control in various environmental and highway driving conditions. This is to address low visibility and perceptually degraded conditions (by Camera or LiDAR) in harsh weather scenarios. To enhance situation awareness, decentralizez sensing methods will be used through connectivity of the system to the leader truck. This communication will improve perception of the leader/follower trucks used in the ATMA system, thus reliability of the control system; its effectiveness will be evaluated through the Safety of the Intended Functionality (SOTIF) metrics.

Voir la description complète du projet
Superviseur du corps professoral :

Ehsan Hashemi

Étudiant :

Partenaire :

Ledcor Highways Ltd.

Discipline :

Engineering

Secteur :

Construction and infrastructure

Université :

University of Alberta

Programme :

Accelerate

Improving efficiency of federated learning using access network infrastructure

The first aspect of this project aims to address the so-called digital divide, the challenges for broadband access in remote areas. The second is data privacy in artificial intelligence solutions. With the advent of 5G, we can now use fixed wireless access (FWA) to enable broadband access in remote areas. It consists of installing a few radio equipment while deploying a core network in central locations around a community with connections back to the Internet. In order to support the FWA operation, this research project proposes improvements in the scalability and convergence of the so-called federated learning algorithms (FL). FL enables multiple local actors to build a common, robust ML model without sharing the data, consequently addressing critical issues related to data privacy. We expect the proposed solution to reduce the convergence time and improve the accuracy of FL, making it suitable for use in practice.

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Superviseur du corps professoral :

Tristan Glatard

Étudiant :

Partenaire :

Chalmers University of Technology

Discipline :

Computer science

Secteur :

Education

Université :

Concordia University

Programme :

Globalink Research Award

Feedback mechanisms in Extended Reality Applications

The objective of this research project is to combine different forms of user feedback mechanisms (haptic, olfactory, force, auditory) to better recreate simulated environments and increase the impact of extended reality (XR) training platforms for both users and collaborative robots. As such the research question that is being investigated during the research project is: How do feedback mechanisms impact knowledge transfer of XR applications? The intern will be responsible for supporting the current research in extended reality. Specifically, the intern will assist in creating physical models and prototypes for XR experiences. They will extend the current VR platform used in the training of machinery operators to include new forms of feedback and determine their effectiveness. From this research we expect to gain new knowledge on how feedback mechanisms help with knowledge retention and user performance of VR training platforms.

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Superviseur du corps professoral :

Tsz Ho Kwok

Étudiant :

Partenaire :

Politecnico di Milano

Discipline :

Engineering

Secteur :

Education

Université :

Concordia University

Programme :

Globalink Research Award

Tunable Topological Features in Microring Arrays

Topological features can arise when you combine materials or lattices of different configurations at the interface. Individual
elements of the lattice can be engineered to select modes which do not propagate into the rest of the system (by splitting them),
and the rest would be able to, using Floquet optical ring resonators.
We propose to study a different scheme of a photonic topological insulator, one which would allow us to tailor which modes are
protected by topology, and which ones are not. In essence, this could be akin to changing discretely between one kind of system
(i.e, an insulator) to another (a conductor). This would allow us to effectively change the system’s behavior without changing the
geometry in real-time, relying only on the wavelength of the selected mode(s).

Voir la description complète du projet
Superviseur du corps professoral :

Pablo Bianucci

Étudiant :

Partenaire :

University of Maryland

Discipline :

Physics

Secteur :

Quantum Science

Université :

Concordia University

Programme :

Globalink Research Award

Socio-economic inequalities in longevity indicators in Belgium since the 1990s

We will use the recently developed Belgian indices of multiple deprivation (BIMDs) in combination with all-cause and cause-specific mortality data to investigate the SE inequalities in longevity indicators. Our main goal is to compare the levels and trends of life expectancy, median and modal ages at death across geographical areas in Belgium with different deprivation levels, measured by the BIMDs. Our findings will reveal the absolute and relative differences in these three indicators between and within the Belgian areas with different deprivation levels, and show us their trends since the year 1991. As the recent gains in longevity are mostly due to lower mortality at the higher ages, studying the past trends in modal age at death by the major causes of death can reveal signs of deceleration of acceleration, suggesting either future longevity gains or losses.

Voir la description complète du projet
Superviseur du corps professoral :

Nadine Ouellette

Étudiant :

Partenaire :

Université Catholique de Louvain

Discipline :

Sociology

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

Prosocial development across childhood

Prosocial behavior is essential for a functioning society. Although studies show an early onset of prosocial behaviors, there is no
comprehensive theory on its development and underlying mechanisms. The visit to Dr Dunfield’s lab, which will be made possible with the help of the GRA, is embedded in a superordinate research project with the goal to decipher the mechanisms of early prosociality in preschool children. This project examines the prosocial tendencies of three- to seven-year-old children in terms of actual behavior, underlying norms, and empathic concern. In addition, a number of cognitive and motivational factors that are theorized to predict prosociality will be assessed. At the end of the visit, the interns hope to identify key influences that account for interindividual differences in the performance of prosocial actions. Improving the current understanding of the development of prosociality will benefit both basic research and society at large by providing a starting point for deriving interventions to promote cooperative behavior.

Voir la description complète du projet
Superviseur du corps professoral :

Kristen Ann Dunfield

Étudiant :

Partenaire :

Ludwig-Maximilians-Universität München

Discipline :

Sociology

Secteur :

Education

Université :

Concordia University

Programme :

Globalink Research Award

Computational analysis of the impact of varying cathode catalyst layer microstructural parameters on transport properties

Anthropogenic greenhouse gases and aerosols resulting from the combustion of fossil fuels to power our current energy systems are the leading cause of climate change and pose human health risks, especially in urban areas. Hydrogen proton exchange membrane fuel cell (PEMFC) electric vehicles offer the opportunity to displace the internal combustion engine from medium- and heavy-duty applications. PEMFC electric vehicles already offer most of the capabilities that customers expect, such as quick start-up and refueling, long range, and high efficiency, however, research is still needed to decrease their cost and increase durability. At the heart of any PEMFC is the catalyst layer (CL), a 5 to 20 micrometer heterogeneous layer where the electrochemical reactions take place. Improving transport in this layer could result in increased power density, thereby decreasing cost, and durability. Due to its dimension and the fact that this layer is sandwiched inside other layers, direct ex-situ and in-situ measurements of transport parameters are very challenging and time consuming. The aim of this project is to develop computational analysis tools to study transport property variations with composition and mesoscale structure based on electron microscopy and stochastic reconstruction images of CLs.

Voir la description complète du projet
Superviseur du corps professoral :

Marc Secanell

Étudiant :

Partenaire :

Ballard Power Systems Inc

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

Syntell : Contrôle qualité automatique de grains

L’agriculture est un domaine important pour la societe. En ce sens, l’intelligence artificielle vient de plus en plus aider les agriculteurs avant, pendant ou apres les recoltes, notamment pour le controle des grains qui est une etape importante apres la recolte pour assurer un grain de qualite. Le projet de stage propose par Syntell, en partenariat avec Agri-Marche, a comme objectif d’effectuer un controle qualite automatique des grains lors de leurs passages sur un convoyeur. Cela dit, ce controle qualite implique d’etre en mesure de segmenter et de classifier chacun des grains en temps reel. Ce projet permettra a Agri-Marche d’automatiser leur controle qualite sur plusieurs chaines de production, diminuant ainsi leurs coats variables.

Voir la description complète du projet
Superviseur du corps professoral :

Christian Gagné;Philippe Giguère

Étudiant :

Partenaire :

SYNTELL

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

Université Laval

Programme :

Accelerate

SBQuantum : Méthodes de compensation avancées pour intégration d’un magnétomètre quantique à des plateformes de déploiement

Derrière tout système de navigation, la carte planétaire du champ magnétique terrestre est à la base de l’attitude et de l’orientation des véhicules. Cependant, le champ terrestre évolue dans le temps et doit être mis à jour aux cinq ans afin de préserver une bonne précision de ces systèmes.
SBQuantum développe une solution de magnétométrie satellitaire basée sur un magnétomètre quantique à base de diamant et des algorithmes de traitement évolués fusionnant les entrées de multiples capteurs auxiliaires.
Le défi est de mesurer le champ magnétique terrestre avec une précision inférieure à une partie par million dans l’environnement magnétique contaminé d’un microsatellite. Ce projet vise à développer des méthodes d’apprentissage automatique afin d’utiliser les capteurs auxiliaires pour entraîner un modèle de compensation dans des infrastructures de calibre mondial.

Voir la description complète du projet
Superviseur du corps professoral :

Christian Gagné;Denis Laurendeau

Étudiant :

Partenaire :

SB Quantum

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Université Laval

Programme :

Accelerate

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Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.