Projets novateurs réalisés

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

31 915 projets complétés

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878
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703
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913
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9488
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9950
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Projets par catégorie

Optical Logic Gate

The Optical Logic Gate project is the beginnings of a pivotal part in demonstrating a larger system architecture that will revolutionize the way information is used and moved. The optical logic gate will show a novel method to implement Boolean logic and demonstrate its scaling up to complex computing and switching functions using all optical signaling. The ability to use all-optical signalling between logic gates eliminates the need for high-speed electrical conductors which impede the rate at which data can be manipulated. It also demonstrates that the distances between logic gates can become as long as desired, while still maintaining the highest possible speeds. Something simply impossible with vast numbers of metallic interconnects within current microchip logic structures. The end-goal for this project will be the enabling of optical processing on a physically large and distributed system that scales in size and reduces power consumption, thermal effects and costs by spreading the elements further apart and by using simpler microfabrication technologies.

Voir la description complète du projet
Superviseur du corps professoral :

Odile Liboiron-Ladouceur;Glenn Cowan

Étudiant :

Partenaire :

Axonal Networks;CMC Microsystems

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Concordia University; McGill University

Programme :

Accelerate

AAV Vectored Immunoprophylaxis for Prevention of Respiratory Infectious Diseases

This project aims to provide an alternative therapeutic for the prevention and treatment of the virus responsible for COVID-19, SARS-CoV-2, as well as respiratory syncytial virus and influenza. Using a single viral vector platform, we will deliver antibodies from human survivors of these diseases to provide sustained levels of protection against the virus for all patients, including the elderly and immunocompromised. This project will help Avamab Pharma Inc. brings its first treatment to clinical trials, with the ultimate goal of providing patient populations with a universal therapeutic treatment to combat a variety of respiratory pathogens of public health concern.

Voir la description complète du projet
Superviseur du corps professoral :

Sarah Wootton

Étudiant :

Partenaire :

Avamab Pharma Inc

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Guelph

Programme :

Accelerate

Le corps féminin et les pratiques de résistance politique

Cette recherche a pour but d’investiguer les processus de résistance politique du corps féminin face à la violence de la société patriarcale. En ce sens, ce travail de recherche s’appuie sur les pensées de Michel Foucault, Judith Butler et les théories féministes postcoloniales et intersectionnelles. Le point de départ de cette recherche est la compréhension de l’inexistence de la catégorie « femmes. » Et à partir de cela, s’enquêter sur comment les différentes catégories de femme peuvent résister politiquement aux violences de genre, mais également de race et de classe dans une perspective intersectionnelle située. En effet, étudier ces différents corps féminins serait une manière de connaître les différentes stratégies de faire face aux violences de genre/classe/race qui peuvent nous amener à construire de nouvelles manières de cohabiter dans ce monde.

Voir la description complète du projet
Superviseur du corps professoral :

Ryoa Chung

Étudiant :

Partenaire :

Université de Paris

Discipline :

Sociology

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

Conception et mise en oeuvre d’un profil SysMLpour le support de la méthodologie ASAP

La mise en oeuvre de l’ingénierie des systèmes dirigée par les modèles dépend largement des compétences des ingénieurs et de leur maîtrise de la méthodologie et du langage de modélisation utilisés. Ce problème est plus accentué chez les compagnies qui ont développé leur propre méthodologie et qui, toutefois, utilisent des outils standards de modélisation développés par des tiers. C’est le cas de la compagnie ALSTOM qui a mis au point une méthodologie appelée ASAP et qui utilise un outil standard supportant le langage de modélisation SysML. Dans le présent projet, nous proposons de développer des outils appropriés pour supporter les ingénieurs d’ALSTOM dans l’application de cette méthodologie. En particulier, nous proposons de concevoir et implémenter un profile SysML et des extensions de l’outil standard utilisé pour guider les ingénieurs à travers la méthodologie ASAP et les aider ainsi à développer plus rapidement des modèles corrects, cohérents et complets.

Voir la description complète du projet
Superviseur du corps professoral :

Ghizlane El Boussaidi

Étudiant :

Partenaire :

Alstom Energy and Transport Canada Inc (Saint Laurent, QC)

Discipline :

Engineering

Secteur :

Utilities

Université :

École de technologie supérieure

Programme :

Accelerate

Deep Breathe Interns Fall 21

Lung ultrasound (LUS) is a portable, non-ionizing imaging method with high accuracy for numerous respiratory conditions.1-3 These properties allow LUS – unlike other lung imaging techniques – to be delivered at scale and outside of traditional healthcare environments that may allow for broadly distributed diagnosis, triage or prognosis of respiratory conditions.4–11 As training for LUS is not widespread, it can be expected that such democratization will eventually rely on deep learning (DL), computer vision solutions to mimic real time expert oversight.
Despite the potential for DL to accelerate the scale and reach of LUS, this domain of study is complicated by a paucity of well-organized, institutional LUS datasets.
With an archive of more than 100,000 LUS clips, our group is focused on the development of computer vision models that will contribute to automated interpretation that will assist in the broadest dissemination of the tool. The current project for which we are applying, is directed at the detection of pneumothorax – a life threatening collapse of the lung – that can be readily detected or ruled out using LUS. In fact, LUS has comparable accuracy to a CT scan for this condition.

Voir la description complète du projet
Superviseur du corps professoral :

Alexander Wong

Étudiant :

Partenaire :

Deep Breathe

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Business Strategy Internship

Increasing the Reliability of Design and Production of TMotion

Recent increased enthusiasm towards Computer-Integrated Manufacturing (CIM) coupled with developments in smart sensor technologies and advances in communication systems have resulted in simultaneous incorporation of several advanced monitoring and sensing technologies within manufacturing and industrial sectors. In particular, Industrial Artificial Intelligence, referred to as the IAI, is positioning itself as the transformative technology of the century addressing key analytical challenges associated with conventional industrial process control solutions in dealing with availability of high variety, high dimensionality, and high velocity data. As competition is increasing in all industries and manufacturing sectors, industrial researchers, engineers, and the production managers are aiming to develop, design, and implement innovative technologies to optimally utilize such rich high-dimensional data sources to further improve the reliability and quality of their systems, processes and products. Industrial Internet of Things (IIoT) and IAI are revolutionizing the business sector to better understand, control, and optimize the entire production process. The proposed research program is envisioned in response to the above mentioned critical and unmet need for investigation and development of advanced smart system for increasing reliability and quality by minimizing the failure risk of a motion simulator system (TMotion) developed by Touché Technologies Inc.

Voir la description complète du projet
Superviseur du corps professoral :

Farnoosh Naderkhani

Étudiant :

Partenaire :

Touché Technologies

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Concordia University

Programme :

Accelerate

Mise-au-point d’une tache oculomotrice intégrée aux approches de neurophotonique chez la souris

Ce projet a pour but de développer un dispositif permettant d’entraîner les souris de laboratoire à réaliser des mouvements des yeux dans différentes directions. Ce dispositif sera combiné à l’imagerie fonctionnelle et sera utilisé pour la recherche en neuroscience afin d’explorer des pathologies telles que les accidents vasculaires cérébraux ou de développer des neuroprothèses. Ce dispositif utilisera des approches innovantes de suivi des mouvements oculaires grâce à l’intelligence artificielle. Il utilisera également des dispositifs de projection immersive sur un écran hémisphérique. Ce dispositif s’intégrera avec les autres outils du partenaire industriel, Labeotech Inc. Ceci aura pour conséquence directe d’augmenter sa visibilité sur le marché et son potentiel d’affaire.

Voir la description complète du projet
Superviseur du corps professoral :

Matthieu Vanni

Étudiant :

Partenaire :

LabeoTech

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Université de Montréal

Programme :

Accelerate

Global Cybersecurity Standards Review

This research project will assess, and compare cybersecurity frameworks currently in place for critical infrastructure protection in Internet of things (IoT), Operational Technology (OT) and 5G to determine what the recommended policies are for critical infrastructure protection today for IoT, OT and 5G, and if there is already a
currently used framework that supports all best practices or are there gaps that need to be addressed. This research objective will stive to determine what the ‘gold standard’ should be for critical infrastructure protection control frameworks. We aim to create harmonization in this field with a recommended policy for all
sectors of critical infrastructure to follow and provide Government and Industry regulators the data they require to make informed decisions on regulatory requirements and standards

Voir la description complète du projet
Superviseur du corps professoral :

Natalia Stakhanova

Étudiant :

Partenaire :

CyberNB CIPnet

Discipline :

Computer science

Secteur :

Other services (except public administration)

Université :

University of Saskatchewan

Programme :

Accelerate

Imagination Audit Project

The Laboratory for Artistic Intelligence brings artists and artistic methods into parts of society where more imagination and creative approaches are needed. Chief Artistic Officer Helen Yung has a track record of introducing new ways of thinking about policy development in order to by-pass flawed assumptions and build effective solutions. During subsequent conversations with a stakeholder from the Office of the Privvy Council, the idea of The Imagination Audit emerged. It is a process by which abductive reasoning and divergent thinking—the consideration of possibilities—and the creative process are married together to generate insight and innovation within an organization or team. While the LAI has already validated the benefits of engaging in this process through pilot programs, two fundamental challenges remain. The first is to determine ideal participants for this process, and to further identify and articulate the value those participants would derive from it. The second is to continue to develop the form and deployment of the Imagination Audit to improve both access and adoption. Together, these are the “R&D” of the Laboratory for Artistic Intelligence. Expected deliverables include the articulation of a classic marketing mix—product, price, promotion and delivery model—as well as an actionable prospect list.

Voir la description complète du projet
Superviseur du corps professoral :

Sarah Wilner

Étudiant :

Partenaire :

Laboratory for Artistic Intelligence

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

Wilfrid Laurier University

Programme :

Business Strategy Internship

Development and Validation of Employee Pulse Surveys

Pulse surveys are effective tools to improve how organizations function by measuring the real time response of employees on a periodic basis. The current project aims to develop
a series of pulse surveys that measure the following concepts: team alignment, job satisfaction, employee engagement, and wellness. These concepts were picked because of their connection to organizational success. The results of this study will provide the partner organization, Quilt, a series of effective pulse surveys that will be integrated into their software application. Organizations can use the application to obtain a snapshot of their employees experience at work and gain insight on which areas need improvement.

Voir la description complète du projet
Superviseur du corps professoral :

Kevin Kelloway;Stephanie Gilbert

Étudiant :

Partenaire :

Quilt HR

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

Saint Mary's University

Programme :

Accelerate

Understanding the contribution of humalite for soil health and crop production

Humalite is a naturally occurring organic substance containing high concentrations of humic acid. Humic-based substances are well known for improving the physical, chemical, and biological properties of the soil. Therefore, humalite may be a cost-effective and environmentally friendly soil amendment with a wide variety of end uses. Large deposits of humalite were found in Southern Central Alberta that may have great potential to commercialize for improving soil health and sustainable agricultural production. We partner with the Prairie Mines & Royalty ULC to evaluate potential benefits of humalite for 1) improving soil nutrient availability and plant nutrient uptake, 2) improving soil microbial population and diversity, 3) improving plant growth, yield, and nutritional quality, 4) improving symbiotic nitrogen fixation in legume crops, and 5) alleviating drought stress on crop production. We expect to develop humalite-based marketable products for the diverse agricultural industries, which are economical and environmentally friendly to the end users.

Voir la description complète du projet
Superviseur du corps professoral :

Malinda Thilakarathna

Étudiant :

Partenaire :

Prairie Mines & Royalty ULC;WestMET ERS

Discipline :

Life Sciences

Secteur :

Mining

Université :

University of Alberta

Programme :

Accelerate

Extracting information from Emails

The project will attempt to extract useful information from emails as well as attempt to classify emails as meeting intent or not. The proposed project deals with attempting to leverage current machine learning and natural language processing techniques to build a prototype that can solve the above problems. This will benefit the company by not having to use manual solutions. Currently the company uses the mechanical turk which requires actual humans extracting information from the emails. The prototype would eliminate the need for this and reduce their costs.

Voir la description complète du projet
Superviseur du corps professoral :

Osmar Zaiane

Étudiant :

Partenaire :

Zenlike Inc

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

University of Alberta

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.