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
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projets par catégorie

Electrodialysis Process for Produced Water Treatment and Purification

Arrowhead is partnering with the SAIT Centre for CERCUTS research group to develop a novel process that takes produced/waste water (PW) for the production of clean, fresh water and hydrogen using new generation Electrodialysis (ED) technology. This proposed research project aims to design, build and test a process skid incorporating a pretreatment system to remove solids and excess organics from produced/waste water, and an ED system to remove salts and dissolved solids while producing hydrogen as a byproduct. The key objective is to develop and test a pilot scale of New ED method with collection and monitoring of the produced green hydrogen from produced/waste water with the added benefits of producing clean fresh water and reducing the amount of produced/waste water sent to disposal by injection. The results of this project are expected to set a foundation for a scalable process, equipment specification parameters and operation conditions for the technology to be deployed at Arrowhead’s sites. An additional but equally important objective of this project is bringing technology development and training to Indigenous communities, incorporating First Nations companies and individuals in the process.

Voir la description complète du projet
Superviseur du corps professoral :

Ehsan Aminfar;Rogelio Lozano

Étudiant :

Partenaire :

Arrowhead Abandonments Inc.

Discipline :

Engineering

Secteur :

Mining

Université :

Southern Alberta Institute of Technology

Programme :

Accelerate

Developing LLM Chatbot to Bridge from Lab to Analysis

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

Voir la description complète du projet
Superviseur du corps professoral :

Moe Fadaee

Étudiant :

Partenaire :

Scispot

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

George Brown College of Applied Arts and Technology

Programme :

Accelerate

Investigate machine learning algorithms to detect anomalies in computing infrastructures in real-time

Metafor is developing a new class of IT system management solution to monitor computer and application activities, and alert when anomalous behavior occurs. Current commercial tools for anomaly detection use simple statistical rules and thresholds to detect anomalies. These methods are failing for today’s dynamic cloud environment where change is constant. As a result, IT operators are flooded with false alerts; become overwhelmed with alert fatigue and learn to ignore the alerts. This research internship will help to identify and create appropriate anomaly detection algorithms for the IT environment and extend and improve the functionality of Metafor’s current suite of algorithms.

Voir la description complète du projet
Superviseur du corps professoral :

Ruben Zamar

Étudiant :

Partenaire :

Metafor Software

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

CRITAC : Modèles d’estimation de pose pour les arts du cirque

Les compagnies de cirque au Canada innovent en intégrant des technologies numériques comme la capture de
mouvement dans leurs spectacles, créant ainsi des expériences virtuelles et hybrides. Toutefois, les systèmes de
capture actuels avec marqueurs ne sont pas adaptés aux performances acrobatiques. Le projet vise donc à tester
différents modèles d’estimation de mouvement pour trouver ceux qui conviennent le mieux aux mouvements
uniques des artistes de cirque. Cette technologie pourrait ouvrir de nouvelles possibilités créatives pour
l’enseignement, la recherche et le divertissement, permettant aux compagnies et artistes québécois de se
démarquer par leur innovation dans le domaine du numérique.

Voir la description complète du projet
Superviseur du corps professoral :

Christian Gagné;Jean-Francois Lalonde

Étudiant :

Partenaire :

École nationale de cirque (Centre de recherche, d‘innovation et de transfert en arts du cirque)

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Université Laval

Programme :

Accelerate

Calcul des performances d’un fuselage intégré hybride en régime transsonique

En 2015, la NASA, Boeing et Pratt & Whitney ont entrepris des études expérimentales et numériques pour calculer les performances d’un fuselage intégré hybride (HWB), désigné N2A-EXTE 0009H1, pour tous les régimes de vol, dont celles en transsonique. Le but de ces études était de vérifier un concept d’intégration moteur avec cette cellule d’avion non-conventionnelle. Le but du stage est de reconstituer dans un modèle CAO (Catia V5) la maquette utilisée pour ces études antérieures en se basant sur les documents publiés par ces trois organisations. Le modèle doit être construit en partie sous forme paramétrique de façon à que le modèle soit prêt à une mise à jour automatique selon les choix de paramètres décidés par un utilisateur(trice) ou une boucle automatique d’optimisation de formes aérodynamiques autour des moteurs. Une fois le modèle CAO reconstitué, des simulations numériques de l’écoulement seront obtenues à l’aide d’un solveur fluide (StarCCM+ ou autre), suite à la discrétisation du volume fluide autour du modèle de l’avion à l’aide d’un générateur de maillage (Pointwise). L’objectif est de valider par itération que le modèle est fonctionnel côté aérodynamique, c’est-à-dire débarrassé de toute anomalie dans l’écoulement d’air autour de l’avion.

Voir la description complète du projet
Superviseur du corps professoral :

Patrick Germain

Étudiant :

Partenaire :

École Nationale Supérieure de Mécanique et d’Aérotechnique

Discipline :

Engineering

Secteur :

Aerospace; Transportation (excluding aerospace)

Université :

École de technologie supérieure

Programme :

Globalink Research Award

Large Language Models for Improving Quantum Communications and Networking

The aim of this research project is to explore the use of Large Language Models (LLMs) in quantum technologies for computer network system scenarios. The hypothesis is that we can easily comprehend and utilize quantum algorithms to propose solutions for networks by leveraging Large Language Models technologies in specific tasks. Moreover, another interesting question that we want to find the answer to is if we can safely transmit qbits of information between quantum network systems using the (QKD) paradigm with Large Language Models helping.

Voir la description complète du projet
Superviseur du corps professoral :

Chadi Assi

Étudiant :

Partenaire :

Universidade Estadual de Campinas

Discipline :

Computer science

Secteur :

Education

Université :

Concordia University

Programme :

Globalink Research Award

Analyzing and Reducing the Carbon Footprint in Concrete Block Manufacturing Processes

The proposed project for carbon footprint analysis of concrete block will benefit the community. Demand on concrete blocks is increasing dramatically and such massive production of these blocks contributes to an estimated 5% of Carbon emission of total carbon present in atmosphere. Thus, this analysis will help understanding and subsequently reducing carbon footprint of concrete blocks and thus help protecting the environment. As a researcher in this project, I would understand the production cycle of concrete blocks and its impact on environment. As for Day & Campbell Corporation, the project will benefit the company’s image and surge its contribution to society by promoting environmental sustainability. This project will not only benchmark the concrete block carbon footprint, but will also look for alternative materials to that can produce concrete blocks with similar quality but far less carbon emission.

Voir la description complète du projet
Superviseur du corps professoral :

Wael El-Dakhakhni

Étudiant :

Partenaire :

Day and Campbell

Discipline :

Engineering

Secteur :

Manufacturing

Université :

McMaster University

Programme :

Accelerate

Infection & Alzheimer’s Disease: Investigating Curli Fiber-Amyloid Beta Interactions Using Novel Inclusion Assay

As the general population ages the incidence of Alzheimer’s disease (AD), the leading cause of dementia, has dramatically increased in recent years. One of the main hallmarks of this disease is the buildup of amyloid beta peptides in the brain. This peptide is capable of damaging the cell membranes of neurons and aggregating into plaques that disrupt neural communication. As current therapies targeting amyloid beta peptide are mostly ineffective at halting the progression of cognitive decline, the investigation of novel pathways and drug targets is of utmost importance. Infection and/or changes in gut microbes have been linked as a risk factor for AD and could provide information into new targets or pathways for therapeutic development. These changes in gut microbes include increases in strains that produce curli fibers, a protein that enables the persistence of bacterial species in the host. Our proposed research aims to evaluate the ability of these bacterial curli fibers to bind to the well-known AD-associated amyloid-beta peptide and to affect the ability of the amyloid-beta to initiate its toxic AD disease mechanisms.

Voir la description complète du projet
Superviseur du corps professoral :

Zoya Leonenko

Étudiant :

Partenaire :

Utrecht University

Discipline :

Life Sciences

Secteur :

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

Université :

University of Waterloo

Programme :

Globalink Research Award

Feasibility Study for X-Ray Lithographic Fabrication of Diffractive X-Ray Optical Elements

The University of Saskatchewan (Dr. S. Achenbach), intern Danyil Dmytriiev, and the Oles Honchar Dnipro National University in Ukraine (Dr. Mykhailo Derhachov)/Ministry of Education and Science of Ukraine, engage in a MITACS-funded research project to innovate microfabrication processes for diffractive X-ray optics. Fresnel Zone Plates (FZPs) are miniaturized focusing and beam shaping elements with nanometer scale dimensions. Such plates are required in, e.g., spectromicroscopy using soft X-ray synchrotron radiation to advance basic and applied sciences, e.g. environmental and life sciences and material development. FZPs have typical overall dimensions between fingernail-size and the diameter of a human hair, with nanometer scale details, at costs comparable to a compact vehicle for a single FZP. Using X-ray lithography available at SyLMAND, the Synchrotron Laboratory for Micro and Nano Devices at the Canadian Light Source, Saskatoon, the research partnership aims at developing fabrication technologies for zone plates that allow for much reduced costs and increased availability. Both would enable more widespread use in academic and industrial research. Successful completion will much elevate Canada’s visibility and the university’s reputation in X-ray optics, serve Canadian companies, and foster international collaboration and student exchange with one of the leading research-intensive universities in the Ukraine.

Voir la description complète du projet
Superviseur du corps professoral :

Sven Achenbach

Étudiant :

Partenaire :

Oles Honchar Dnipro National University

Discipline :

Engineering

Secteur :

Education

Université :

University of Saskatchewan

Programme :

Globalink Research Award

Enhancing Assistive Robotics for Walking Impairments Through Human Motion Recognition

This research project aims to develop advanced robots and devices to help people with disabilities, like those with cerebral palsy or who have had strokes, move and live more independently. As people get older and the need for such assistive technology grows, it’s crucial to make sure these devices can accurately understand and predict human motion to be safe and effective. The project will focus on improving motion recognition systems by using a combination of muscle activity signals and mechanical sensors to predict a person’s movements before they even start. This could make interactions with robots feel more natural and reduce delays in how these devices respond. By tailoring these technologies to meet the specific needs of individuals with walking impairments, the project aims to make daily activities easier for them, enhancing their quality of life. The involvement of institutions in this research is expected to lead to the creation of more adaptable, safe, and effective assistive devices, contributing to significant advancements in the field of rehabilitation and assistive robotics.

Voir la description complète du projet
Superviseur du corps professoral :

Mojtaba Ahmadi

Étudiant :

Partenaire :

University of Illinois Chicago

Discipline :

Engineering

Secteur :

Artificial Intelligence; Technology

Université :

Carleton University

Programme :

Globalink Research Award

Interrogating ‘Sustainable Mining’: Labour, Social Reproduction and Intergenerational Justice in Extraction-affected Communities

Mining affects communities and contributes to socio-ecological harms despite the proliferation of industry-led sustainability initiatives. These issues demand ongoing scrutiny given the intensification of ‘critical’ extractivism and its intersection with climate-change mitigation, action, and in/justice. The proposed project aims to interrogate the notion of sustainable mining as a source of ‘green’ jobs, community wellbeing, and climate action by considering how it manifests in the two mining-affected communities: Sudbury, Canada and Antonio Pereira, Brazil. We want to investigate this claim in relation to three domains of socio-ecological sustainability: 1) the relationship between environmental safety and the working conditions in mining, 2) articulation of mining with social and community reproduction (as expressed though care provision and small-scale agriculture/community gardening projects), and 3) the question of responsibility to future generations (i.e. intergenerational justice). Our project’s intersectional and multi-dimensional analysis will provide an important contribution to research that critically evaluates mining’s developmental and climate action promise for geopolitically distinct communities. It will also forge closer links between research programs and collaboration of scholars at Carleton University (Canada) and Federal University of Ouro Preto (UFOP), thus benefitting our respective institutions’ internationalization efforts, and enriching graduate education, research and training opportunities in both countries.

Voir la description complète du projet
Superviseur du corps professoral :

Ania Zbyszewska

Étudiant :

Partenaire :

Federal University of Ouro Preto

Discipline :

Sociology

Secteur :

Sustainability & the Environment; Mining; Education

Université :

Carleton University

Programme :

Globalink Research Award

An Interactive Scene-centric Testing Platform for Autonomous Driving Vehicles in Unstructured Map Scenarios

LoopX plans to have their intern develop a virtual testing platform in a simulated software program, where the robots mining vehicles with the autonomous driving algorithms that are meant to drive in mines can be put through their paces. These robot mining vehicles are expected to handle complex mining-specific situations, but mines are tricky places with lots of unexpected challenges. By doing extensive tests with sirmulated complex scenarios, LoopX can make sure these autonomous driving algorithms enable the robot vehicles to make the right decisions and navigate themselves, simultaneously, in mines and still obey the mining traffic rules. it’s crucial because it’ll help LoopX ensure that their algorithms are both safe to use and good at their jobs before they ever hit the ground rolling in real mines.

Voir la description complète du projet
Superviseur du corps professoral :

Krzysztof Czarnecki

Étudiant :

Partenaire :

LoopX AI

Discipline :

Engineering

Secteur :

Manufacturing; Mining

Université :

University of Waterloo

Programme :

Accelerate

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