Projets novateurs réalisés

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

29670 projets achevés

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Projets par catégorie

Processing and inversion of landstreamer data using deep learning for near-surface seismic imaging

Seismic techniques are used to image the structure of the subsurface and expand our knowledge about the geological condition of the underground. The information acquired from these techniques is employed in domains such as the petroleum industry and clean energy development. Seismic studies also play a vital role in geotechnical projects and civil engineering. The acquired seismic data must be processed to be interpretable. Conventional methods for processing seismic data are time-consuming and labor-intensive. This problem is more noticeable when the data acquisition is performed using a landstreamer for near-surface studies. The near-surface studies are used to image the shallow subsurface for geotechnical purposes. Conventional methods for near-surface imaging are limited to one specific type of seismic data (surface waves, refractions, or reflections). To address these problems, Polytechnique of Montreal and Geostack will collaborate to adopt artificial intelligence (AI) to automate the processing of the seismic data acquired by a landstreamer. In this study, deep learning (DL) methods will be employed to also perform a joint analysis of surface waves, refractions, and reflections. This technique will reduce the processing time significantly while it can lead to a higher resolution and more accurate estimate of the subsurface.

Voir la description complète du projet
Superviseur du corps professoral :

Gabriel Fabien-Ouellet

Étudiant :

Partenaire :

Geostack

Discipline :

Sciences de la Terre

Secteur :

Services professionnels, scientifiques et techniques

Université :

Polytechnique Montréal

Programme :

Elevate

Investigating the transmission of C. difficile in Hamilton-area hospitals and designing diagnostic assays for C. difficile

Clostridioides difficile (C. difficile) infection (CDI) is a common disease associated with hospital stays and is caused by a bacteria known as C. difficile. This project will examine transmission patterns of the bacteria and attempt to develop methods for detection of the pathogen in order to reduce incidence of the disease. This will ease the burden of patients on the hospital system, which I will be partnered with.

Voir la description complète du projet
Superviseur du corps professoral :

Andrew McArthur

Étudiant :

Partenaire :

St. Joseph's Healthcare Hamilton

Discipline :

Sciences de la vie

Secteur :

Sciences de la santé et technologies connexes

Université :

Université McMaster

Programme :

Elevate

High-Value Fertilizer Synthesis from Carbon Dioxide

The extensive use of fossil fuels is responsible for emitting the main culprit of climate change — carbon dioxide (CO2). As electricity generated from renewables becomes more accessible, CO2 conversion into valuable chemicals using electricity is being actively explored as an economically viable solution for mitigating climate change. Nitrogen-containing fertilizers support almost half of the world’s population. But its production requires ~2% global energy and tonnes of CO2 released from the production.
To create a new application for CO2 conversion and nitrogen contamination remediation, I propose to synthesize nitrogen fertilizers from CO2 and nitrates (common nitrogen contaminants). Recently, I have shown the possibility of our project in a laboratory-scale device. During the visit, I will work on scaling up our reaction to an industrial scale. And the long-term goal for this project is to replace current energy-consumptive production with my reaction.

Voir la description complète du projet
Superviseur du corps professoral :

Oleksandr Voznyy

Étudiant :

Partenaire :

Université de technologie de Delft

Discipline :

Génie

Secteur :

Éducation

Université :

Université de Toronto

Programme :

Bourse de recherche Globalink

Projet VIREDA

L’étude vise à approfondir les perceptions-relations-occupation et sensations (PROS) liés aux attitudes et comportements alimentaires dysfonctionnels (ACAD) des sprotif.ve.s par les perspectives allocentriques et égocentriques de l’image du corps en réalité virtuelle. Les résultats attendus permettront une meilleure compréhension de l’image du corps chez les athlète et pourront soutenir les pratiques cliniques probantes pour un mieux-être alimentaire et corporels.

Voir la description complète du projet
Superviseur du corps professoral :

Johana Monthuy-Blanc

Étudiant :

Partenaire :

Université Côte d'Azur;Université du Québec à Trois-Rivières

Discipline :

Sociologie

Secteur :

Health and Related Sciences & Technology; Artificial Intelligence; Agriculture and Food

Université :

Université du Québec à Trois-Rivières

Programme :

Bourse de recherche Globalink

Jeudredi : un parcours vers la semaine de travail de 4 jours

La firme de jeux vidéo québécoise Eidos souhaite évaluer l’impact de l’implantation de la semaine de quatre jours, du lundi au jeudi, dans son organisation. Cette mesure mise en place à l’automne 2021, implique que la semaine de travail régulière passe de 40 heures à 32 heures par semaine sans que le salaire des employés ne soit affecté. Dans un premier temps, les quelques 500 employés de la firme seront sondés sur les effets de ce changement par exemple sur leur productivité, leur satisfaction au travail, leur bien-être au travail et sur d’autres aspects pertinents. Par cette consultation des employés, l’organisation partenaire obtiendra une vue d’ensemble des effets du changement et pourra, dans un deuxième temps, mettre en place des mesures adaptées aux besoins exprimés (p.ex. formation, coaching) afin d’assurer de maximiser les effets positifs de cette mesure et d’amoindrir certains désavantages.

Voir la description complète du projet
Superviseur du corps professoral :

Irène Samson;Marie-Claude Lallier Beaudoin;Julie-André Girard

Étudiant :

Partenaire :

Eidos Sherbrooke

Discipline :

Sociologie

Secteur :

Services professionnels, scientifiques et techniques

Université :

Université de Sherbrooke

Programme :

Accélération

Creating a Framework for Social Enterprise as a Bridge to Employment and Self Sufficiency for Kingstonians Living in Social Housing

Youth living in social housing often face a number of challenges to success, including histories of intergenerational poverty, high rates of mental health and substance use issues, limited educational attainment, and weak or absent work histories. Secure employment is one approach to addressing key social determinants of health, including having a secure income, food security, access to needed supports, and social connections. Work integration social enterprise (WISE) is an approach to employment generation that creates jobs in a supportive environment while also producing goods and/or services needed in the local community. This study will lay the groundwork for a WISE that will build the employment skills of youth in social housing. Data collection methods will include literature review, interviews with key informants, and visioning sessions. The project activities will be delivered by a post-doctoral fellow (PDF) with the support of a research team and an advisory panel comprised of local partners and relevant stakeholders.

Voir la description complète du projet
Superviseur du corps professoral :

Rosemary Lysaght

Étudiant :

Partenaire :

Kingston and Frontenac Housing Corporation

Discipline :

Affaires

Secteur :

Sciences de la santé et technologies connexes

Université :

Université Queen’s

Programme :

Accélération

Quantum Machine Learning for Doppler Radar Signal Processing in Clutter

Quantum computers are no longer fantasises of distant future. Recent advances in quantum computing hardware as well quantum algorithms offer a wide variety of possibilities to improve existing classical algorithms. Some of the operations involved in the standard classical algorithms might be performed much more efficiently using quantum machines. The current proposal will explore the new possibilities offered by quantum machines for improvements in the areas of radar signal and image processing. This proposal will investigate such possibilities theoretically and will also investigate the practical implementations in present day quantum computers. Thales will utilize the algorithms developed during this project in their machine learning algorithms aimed at defense and civilian applications.

Voir la description complète du projet
Superviseur du corps professoral :

Sreeraman Rajan;Bhashyam Balaji

Étudiant :

Partenaire :

Thales Recherche et Technologie;Thales Canada Inc

Discipline :

Mathématiques

Secteur :

Fabrication; Services professionnels, scientifiques et techniques

Université :

Université Carleton

Programme :

Accélération

STING modulation for the treatment of triple negative breast cancer using novel glyco-based delivery systems Part 1: design and synthesis of novel glyco-based delivery systems

Breast cancer affect one out of eight women worldwide. Triple-negative breast cancer is an invasive breast cancer that is estrogen receptor-negative, progesterone receptor-negative, and HER2-negative. Triple-negative breast cancer is a type of breast cancer that is usually more aggressive, harder to treat, and more likely to come back (recur) than cancers that are hormone receptor-positive or HER2-positive. About 10-15% of all breast cancers are triple-negative. There is no successful treatment for triple negative breast cancer. Exploring novel avenues to target these particular cancer cells would be of great benefit to cure this unmet medical need. In addition, these cancers are highly metastatic. This proposal aims at using novel nanomaterials for the highly selective targeting of anti-cancer agents, thus limiting their cytotoxicity and side-effects. The proposed nanomedicine is composed of liposomal formulations that have been very successful in the recent pandemic COVID-19 (Pfizer and Moderna vaccines

Voir la description complète du projet
Superviseur du corps professoral :

Rene Roy

Étudiant :

Partenaire :

Bowhead Health

Discipline :

Sciences de la vie

Secteur :

Services professionnels, scientifiques et techniques

Université :

Université du Québec à Montréal

Programme :

Accélération

Performance comparison of additional versus basic view representation in MPEG Immersive Video

Augmented reality (AR) and virtual reality (VR) enable exciting experiences such as virtual tourism or participation in a live concert from home. These applications are expected to benefit the society as well as being a source of significant revenues. However, such applications are very bit rate- and computation-intensive. The recent MPEG Immersive Video (MIV) format, part of the MPEG-I standard, enables the efficient compression of visual content obtained from several camera feeds by removing redundant information from the various views. This research project aims at investigating the parameters influencing the performance of the MIV format for some uses cases of interest to the industrial partner. This knowledge will enable the partner to select the best MIV format parameters and improve the performance of its products.

Voir la description complète du projet
Superviseur du corps professoral :

Stéphane Coulombe;Carlos Vazquez

Étudiant :

Partenaire :

Summit Tech

Discipline :

Génie

Secteur :

Information and Communications Technology; Entertainment and Media; Technology

Université :

École de technologie supérieure

Programme :

Accélération

Project Co-ordinator

The Battlefords Chamber of Commerce is working to ensure digitziation of specific processes, for example, board of director elections, and the addition of online “wow” factors for its events – online development of registraiton processes, innvative in-event social media and bolstering its sponsor recognition and appreciation.
We also know businesses are challenged to find talent and workers to fill specific roles in their operations, so we plan to assist them with innovative tools and resources to attract and retain employees while developing strategies and processes for their business.

Voir la description complète du projet
Superviseur du corps professoral :

Baljit Singh

Étudiant :

Partenaire :

Battlefords Chamber of Commerce

Discipline :

Affaires

Secteur :

Services administratifs et de soutien, gestion des déchets et remédiation

Université :

Université de la Saskatchewan

Programme :

Stage en stratégie d’affaires

Multisensor Integration for UAV Indoor Navigation and Mapping

UAVs are becoming essential solutions in a wide range of industries. In this market growth, the potential of UAVs to fly in indoor environments represents a massive opportunity for companies. In particular, for applications such as medical care, search and rescue operations, and industrial management and inspections. The main concern of UAVs flying indoors is damage to people and vital infrastructure on the ground. To address this concern, UAVs must be able to self-navigate at all times, which is the first objective of this project, and automatically detect people and objects. In addition, self-learning, situational understanding, and smart avoidance are among the priorities of this project. SOTI is initially investing $20 million (USD) to fund this project and started collaborations with several universities, such as Toronto Metropolitan University and the University of Zurich. This project will help the SOTI extend its expertise in multisensor integration for navigation and thus more quickly achieve the objectives of its overall investment more quickly.

Voir la description complète du projet
Superviseur du corps professoral :

Ahmed El-Rabbany

Étudiant :

Partenaire :

SOTI Inc

Discipline :

Informatique

Secteur :

les industries de l’information et de la culture; Services professionnels, scientifiques et techniques

Université :

Université métropolitaine de Toronto

Programme :

Elevate

Use of bacteriophage-derived lysins in combating multi-drug resistant pathogens that cause bovine respiratory disease

Bovine respiratory disease (BRD) is the most important disease of feedlot cattle, which remains the leading cause of disease-induced economic loss in the Canadian cattle industries. BRD is induced by bacterial pathogens including the Gram-negative (G-) bacteria Mannheimia haemolytica, Pasteurella multocida, and Histophilus somni. Even with current prevention and control measures targeting associated pathogens, the clinical impact of BRD continues and the resulted morbidity and mortality are still high. The mass medication with antimicrobial is raising concerns about emergence of multi-drug resistence. Moreover, during the last decades, no new antibiotics classes have been approved for G- infections. Novel methods targeting BRD-related pathogens are urgently needed.
Bacteriophages (phages) are the most abundant entities on the planet, bacteriophage-derived lysins/endolysins (LYS) are peptidoglycan hydrolases produced by phages and degrade the peptidoglycan at the last step of lytic cycle, resulting in cell lysis and release of progeny phages. But LYS has been widely developed against G+ bacteria but not G- bacteria due to the reaction nature of the enzyme. The proposed project aims to engineer LYS to develop a new class of antimicrobial agent against BRD-related G- pathogens with rapid action, relatively high specificity, non-toxicity and low probability of resistance development.

Voir la description complète du projet
Superviseur du corps professoral :

Dongyan Niu

Étudiant :

Partenaire :

Beef Cattle Research Council;Feedlot Health Management Services

Discipline :

Sciences de la vie

Secteur :

Agriculture

Université :

Université de Calgary

Programme :

Elevate

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