Projets novateurs réalisés

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

29 670 projets achevés

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Projets par catégorie

Scalable Training of Classification Systems Using Heterogeneous Input Data

Effective monitoring is an important component in safety and security related applications. Equipment failure, trespassing, theft and vandalism are all regular occurrences that the companies must deal with. These kinds of problems emphasize the importance of designing a state-of-the-art system for monitoring. In this project a system will be devised and trained to detect different moving-objects (pedestrians at the first step) and classify them into different groups. The system will be trained steadily by adding missing targets to the initial database. This intelligent classification will make monitoring systems to be capable of producing reports (It can be about number of people, vehicles in the site) and setting an alarms when it is necessary (For instance in case of animal detection). This work will allow company to develop a unique system for remote video monitoring.

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Superviseur du corps professoral :

Kyle O'Keefe

Étudiant :

Partenaire :

Osprey Informatics Ltd;Myera Nu-Agri-Nomics Group Canada Inc

Discipline :

Earth science

Secteur :

Energy and Utilities; Oil and Gas

Université :

University of Calgary

Programme :

Accelerate

Real time fuel classification from drone imagery for improved wildfire prediction

Wildfires are naturally occurring phenomena that are necessary for the health of boreal forests. However, fires can cause infrastructural damage and loss of life if they spread into places where people, towns, and other assets are at risk. Due to the impact of wildfires on society, attempts have been undertaken to assess wildfire potential, spread, and magnitude, as well as to anticipate their behavior after ignition. Predicting wildfire risk is essential when making forest management decisions and selecting the most effective wildland fire response tactics to mitigate their negative effects. This project aims to develop user-friendly, cost-effective software to enhance the capabilities of existing fire management software (developed by Fire AI) utilizing artificial intelligence systems that have already demonstrated their effectiveness and performance. This project will allow for the automatic identification of hazardous fuels in near real time around active wildfires.

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Superviseur du corps professoral :

Jeff Boisvert

Étudiant :

Partenaire :

Fire AI

Discipline :

Computer science

Secteur :

Agriculture

Université :

University of Alberta

Programme :

Accelerate

Topological band structure in synthetic dimensions

Emulating topological phases of matter in photonic systems appears particularly promising for engineering new generations of quantum devices more resilient to noise or external perturbations. Indeed, the great versatility of these platforms could allow developing specific architectures that have no counterparts in condensed matter. The goal of this project is to experimentally explore the fundamental limits of topological protection in systems whose dimensionality exceeds the usual three dimensions of space. To do this, it is necessary to define new degrees of freedom along which the electromagnetic field evolves: these are usually referred to as synthetic dimensions. More specifically, we will build an experimental platform to realize a theoretical proposal developed in collaboration with our colleagues at McGill University to use coupled optical fiber loops to emulate synthetic spaces of arbitrary dimension.

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Superviseur du corps professoral :

Philippe St-Jean

Étudiant :

Partenaire :

École normale supérieure de Lyon

Discipline :

Engineering

Secteur :

Quantum Science; Information and Communications Technology; Technology

Université :

Université de Montréal

Programme :

Globalink Research Award

Caractérisation des troubles de l’apprentissage moteur après traumatisme cérébral léger : une approche comportementale et neurophysiologique

La commotion cérébrale suite à un traumatisme crânien peut entraîner des conséquences diverses au niveau cognitif. Il est notamment possible de développer un syndrome post-commotionnel dans les suites d’une commotion et cet état peut perdurer dans le temps. Il peut être marqué, entre autres, par des troubles de l’apprentissage notamment au niveau moteur. Cela peut impacter négativement la rééducation et le retour aux activités scolaires ou professionnelles. La qualité de sommeil, possiblement altérée après un traumatisme crânien, peut également interférer avec la bonne récupération. Ce projet vise à évaluer le rôle des troubles du sommeil dans le syndrome post-commotionnel et à établir les relations avec les troubles de l’apprentissage, afin de garantir une meilleure prise en charge à l’avenir.

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Superviseur du corps professoral :

Louis De Beaumont

Étudiant :

Partenaire :

Université de Liège

Discipline :

Life Sciences

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

Developing cellulose-based water-resistant coating for packaging applications

This project aims to develop lignocellulosic nanomaterials from Canada’s rich forest fibers for packaging applications. With the banning of single use plastic, more and more paper-based packaging products are developed. However, most of the paper-based packaging products do not have satisfied water-resistant performance. To enhance such performance, lamination using plastic or coating with toxic coating materials are needed. Here, we propose to develop a sustainable coating material using lignocellulosic biomass. The technology developed in this project will be utilized by the partner organization to coat on paper-based products. The partner will benefit significantly from this project as it is actively seeking for sustainable solutions that can be used in modifying paper-based packaging products. There are huge market with the paper-based packaging products with the banning of single use plastic in Canada. Therefore, the company want to shift from their petroleum-based packaging products to paper-based packaging materials.

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Superviseur du corps professoral :

Feng Jiang

Étudiant :

Partenaire :

MF3 Solutions

Discipline :

Physics

Secteur :

Manufacturing

Université :

The University of British Columbia

Programme :

Accelerate

Modes of action, emotions, and values in right-wing mobilization: the case of Colombia.

Social mobilization and contestation have long been associated with left-leaning forces in Colombia. This activity has often been stigmatized as being promoted by left-wing guerrilla groups. However, right-wing actors have in recent years increasingly adopted modes of contentious action that were traditionally associated with the left in Colombia. How can we explain this change in modes of action by right-wing forces? What meaning and efficacy are associated to different modes of action by the leaders and activists of right-wing groups? I will carry out comparative ethnographic research with several right-wing organizations in Colombia to tackle these questions. This research project will allow me to explore links between modes of action and emotions and values, as well as assessing the differentiated role that organizational decisions and personal feelings play in the selection of tactics of contestation. Right-wing social movements have long been neglected by social scientists. Nevertheless, right-leaning actors have had significant impacts on politics around the world in the last years…..

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Superviseur du corps professoral :

Françoise Montambeault

Étudiant :

Partenaire :

Universidad del Rosario

Discipline :

Sociology

Secteur :

Public Service, Policy, and Governance

Université :

Université de Montréal

Programme :

Globalink Research Award

The relationships among phytohormones and benzylisoquinoline alkaloids during early development of Papaver rhoeas L.

Benzylisoquinoline alkaloids (BIAs) constitute a diverse class of plant secondary metabolites (SM) that exhibit a myriad of pharmacological activities. While there have been tremendous efforts to chemically synthesize high-value BIAs, this approach is not economical due to their complex chemistry. Also, production of BIAs using traditional means also has several drawbacks. An alternative is the reconstitution of BIA biosynthetic pathways in suitable microbial hosts. A potential factor to enhance the microbe-based production of BIAs is the removal of regulatory restrictions or stimulation of relevant pathways. Plant hormones are a class of naturally occurring, small organic molecules that coordinate a comprehensive suite of physiological processes in plants at very low concentrations. Because plant hormones play important roles in regulating several signaling networks involved in plants, including the production of SM defence compounds, I hypothesize that phytohormones regulate BIA metabolism.

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Superviseur du corps professoral :

Neil Emery

Étudiant :

Partenaire :

Max-Planck-Institut für Chemische Energiekonversion

Discipline :

Life Sciences

Secteur :

Life Sciences (not health); Environmental Science and Technology; Agriculture and Food

Université :

Trent University

Programme :

Globalink Research Award

Effects of a Virtual Reality Exercise Program on Sleep Quality in Assisted Living Residents

Older adults are the largest growing segment of the Canadian population. Almost 40% of men and 59% of women aged 65 to 79 years of age experience sleep disturbances. Little research has been done to examine sleep quality of assisted living residents through objective measures. This project aims to understand the association between sleep quality, quality of life, cognitive performance, and functional capacity in assisted living residents. Sleep quality, quality of life, cognitive performance, and functional capacity will be assessed through subjective (questionnaires) and objective (wearable devices) instruments. The expected benefits of this project to the partner organization are the increased understanding of sleep health of their residents to better inform and develop interventions to improve the quality of life of assisted living residents and the decrease in operational costs associated with sleep medication and staffing.

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Superviseur du corps professoral :

Marc Poulin

Étudiant :

Partenaire :

The Brenda Strafford Foundation

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

University of Calgary

Programme :

Accelerate

In–?PlaceTechnologyPlatform

The In-Place Technology Platform project with N. Chandolias and Alkemie Atelier, under the supervision of Dr P. Shrivastava addresses the problem of how people in everyday as well as rehearsed situations can use site-specific media to enrich public spaces: “place-making.” Alkemie will be able to develop specific projects for artist groups that can co-design meaningful in-place userexperiences. Over the course of 5 months of experimental design, the company, the intern and a research assistant will go through several iterations of design-build-try rapid design and engineering method, refining Alkemie’s existing place-making technologies and creating functional project prototypes that can be used by the company and its partners to demonstrate the technology and also be used by artists and communities to create or share media

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Superviseur du corps professoral :

Paul Shrivastava

Étudiant :

Partenaire :

Alkemie Atelier Inc

Discipline :

Sociology

Secteur :

Information and Communications Technology

Université :

Concordia University

Programme :

Accelerate

Design and Evaluation of Techniques for Enhancing the Utilization of Pre-Trained Language Models (GPT-3) in Sales and Marketing through Prompt Engineering and Fine-Tuning

This research project is focused on using AI technology called Pre-trained Language Models (PLMs) to generate results that are more human-like and of higher quality. The team will utilize a technique called “prompt engineering” to work with a leading PLM in the market, GPT-3, to enhance productivity in reading and writing tasks for salespeople. By collecting data from business users, the team will fine-tune GPT-3 to perform specific tasks that salespeople currently handle. The ultimate goal is to enable the company, Robust Choice, to incorporate GPT-3 into its products and provide better value to its clients, ultimately saving them time and money. Additionally, the project aims to innovate, develop, and commercialize a prompt pipeline that utilizes various methods to create unique prompts for specific sales tasks.

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Superviseur du corps professoral :

Mohammad Hassanzadeh

Étudiant :

Partenaire :

Robust Choice

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Windsor

Programme :

Accelerate

Developing a safe, low-cost anode free solid-state battery with improved energy density, and longer cycle life

Solid-state lithium metal batteries (SSLBs) are considered the “holy grail” of battery chemistry because of their high capacity and energy density and will remain the dominating technology for the foreseeable future.
However, lithium-metal anodes may trigger dendrites growth at high current, which reduces their cycle life, and safety, making SSLBs more challenging to commercialize. Also, escalating demand and shortage of precious battery raw materials like lithium affect the market value of electric vehicles in Canada.
My research objective is to develop a anode free solid-state batteries with high energy density, longer cycle life, and greater safety which are the key to future decarbonization of transportation.
The absence of lithium metal at the anode side reduces the weight and cost of the battery. Meanwhile, the solid-state electrolyte prevents flammability and dendrite growth, enhancing commercialization. My research outcome will also help address global climate change issues and help Canada transition from an energy provider to an energy innovator.

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Superviseur du corps professoral :

Venkataraman Thangadurai

Étudiant :

Partenaire :

Fraunhofer-Institut für Fertigungstechnik und Angewandte Materialforschung IFAM

Discipline :

Physics

Secteur :

Clean Technology; Nanotechnology

Université :

University of Calgary

Programme :

Globalink Research Award

Incorporating Pruning Methods in GAN and Diffusion-based Models

Due to the widespread use of credit cards as a payment method, numerous fraudulent credit card transactions occur, resulting in significant losses for financial institutions. At a high level, the fundamental objective of the project is to improve the performance of fraud detection systems by providing high-quality synthetic data generated by improved deep generative models. This research aims to reduce the size of deep generative models to decrease their computing cost and/or improve the quality of generated data. Then, we up sample fraud patterns with synthetic training data to improve the performance of machine learning classification algorithms.

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Superviseur du corps professoral :

Hamid Usefi

Étudiant :

Partenaire :

NASDAQ Canada Inc

Discipline :

Computer science

Secteur :

Artificial Intelligence; Finance and Insurance; Technology

Université :

Memorial University of Newfoundland

Programme :

Accelerate

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