Projets novateurs réalisés

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

30156 projets achevés

2861
AB
5059
C.-B.
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projets par catégorie

Projets exploratoires en géomatique municipale intelligente

Le mandat de l’UdeS dans cette collaboration avec la Ville de Sherbrooke visera à répondre aux trois objectifs spécifiques suivants :
? Identifier, appliquer et évaluer des réseaux de neurones profonds de segmentation sémantique pour classifier des images aériennes selon une taxonomie définie par la Ville, en fonction de ses besoins et du potentiel des images et de la méthode.
? Collecter les images par Edge Computing, définir une architecture rapide de détection d’objets par apprentissage profond, entraîner le modèle à identifier les places de stationnement (libres et occupées) et évaluer les résultats.
? Définir des critères de bonnes pratiques en matière de développement urbain, collecter et préparer les couches géospatiales nécessaires et appliquer l’analyse multicritère pour identifier les zones propices pour de nouveaux développements résidentiels.

Voir la description complète du projet
Superviseur du corps professoral :

Samuel Foucher;Mickaël Germain;Yacine Bouroubi;Étienne Clabaut;Philippe Apparicio

Étudiant :

Partenaire :

Ville de Sherbrooke

Discipline :

Earth science

Secteur :

Public administration

Université :

Université de Sherbrooke

Programme :

Business Strategy Internship

Meningioma Quality of Life (QOL) Validation Study

Meningiomas represent the most common type of brain tumours arising from the brain itself, accounting for about 30% of cases. Effective treatments like surgery and radiation exist, yet patients may continue to suffer from symptoms that lower their quality of life (QOL). Currently used tools for measuring QOL are not specific to the unique needs of meningioma patients and may not accurately reflect the QOL issues most important to them. This project aims to improve the care of patients with meningioma by shortening and validating an existing patient-centered, meningioma-specific questionnaire that comprehensively evaluates QOL in meningioma patients to ensure it is an accurate and reliable tool for use in routine care.

Voir la description complète du projet
Superviseur du corps professoral :

Jennifer Brooks

Étudiant :

Partenaire :

St. Michael's Hospital (Unity Health)

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

University of Toronto

Programme :

Business Strategy Internship

Developing a Social Media and Digital Strategy for the RBC Patient and Family Learning Space

The RBC Patient and Family Learning Space (PFLS) at CAMH provides free mental health education, workshops, and support to patients, families, and the community. As our programming grows, we need a stronger digital presence to reach more people. This project, funded by Mitacs, will involve two graduate public health interns researching and developing a digital communications and social media strategy to expand our reach and improve accessibility. Their work will help PFLS engage more effectively with diverse audiences, ensuring more people can access our valuable mental health resources and support.

Voir la description complète du projet
Superviseur du corps professoral :

Suzanne Jackson;Amanda Terry

Étudiant :

Partenaire :

Centre for Addiction and Mental Health

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Professional, scientific and technical services

Université :

The University of Western Ontario; University of Toronto

Programme :

Business Strategy Internship

Familiarization with modeling of dust dispersion in air supported by relative dust concentration mapping with a LiDAR

The intern will familiarize himself with the official dust dispersion model (AERMOD) and the innovative dust mapping technology from the partner organization to combine them in a future project. This combination is expected to provide new capabilities to the industry by providing the visualization of its dust emissions in 3D over large areas. This will translate in a better understanding and control of the industrial dust emission sources in real-time. This in turn will allow the industry to significantly reduce its fugitive dust emissions that can be harmful to the health of citizen and the environment. The industries covered include mines, ports, bulk materials handling, foundries, wood, agriculture, and more. Finally, following the development of these new capabilities, the partner organization will commercialize the resulting solutions to different industries in Canada and around the world to significantly reduce industrial impacts of dust emissions.

Voir la description complète du projet
Superviseur du corps professoral :

Jacob Stolle

Étudiant :

Partenaire :

OraVentis

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

Université du Québec : Institut national de la recherche scientifique

Programme :

Accelerate

Renforcer l’adoption des technologies de sûreté des personnes vulnérables de Sentiom par des stratégies de marketing innovantes

Ce projet vise à soutenir la mission de Sentiom en développant des stratégies de communication innovantes pour promouvoir ses solutions technologiques de sûreté et durables dans les résidences pour personnes vulnérables. En mettant l’accent sur l’innovation, le stagiaire contribuera à :
– La création de campagnes numériques ciblées utilisant des données analytiques pour maximiser l’engagement.
– La mise en œuvre d’outils interactifs sur le site web, tels que des études de cas dynamiques, pour mieux démontrer l’impact des solutions Sentiom.
– Le développement de contenu éducatif, tel que des guides sur les bénéfices environnementaux et sociaux des technologies durables, visant à sensibiliser les gestionnaires d’immeubles et les communautés locales.
Ces efforts permettront d’accroître l’adoption des solutions de Sentiom, réduisant ainsi les coûts énergétiques, améliorant la qualité de vie des résidents vulnérables et générant des bénéfices mesurables. En travaillant avec une équipe multidisciplinaire, le stagiaire acquerra des compétences en marketing numérique dans un contexte d’innovation technologique et contribuera directement à l’expansion de Sentiom dans de nouveaux marchés. Ce projet répondra aux besoins des résidences pour personnes âgées en offrant des solutions intelligentes et durables, renforçant ainsi les bénéfices économiques, sociaux et de santé pour les communautés canadiennes.

Voir la description complète du projet
Superviseur du corps professoral :

Fabien Durif

Étudiant :

Partenaire :

Sentiom

Discipline :

Business

Secteur :

Manufacturing

Université :

Université du Québec à Montréal

Programme :

Business Strategy Internship

Augmented Reality Second Language Acquisition Support

This project aims to develop and evaluate an advanced augmented reality (AR) and artificial intelligence (AI)-based system designed to enhance conversational fluency for intermediate-to-advanced language learners. By integrating language practice into everyday environments, the system will offer immersive and interactive learning experiences without reliance on traditional classroom instruction or physical conversation partners. Existing literature indicates that AR-based language learning tools have been effective in increasing engagement, motivation, and retention for beginner-level learners. However, there remains a lack of research on AR applications for learners who possess strong foundational knowledge of a second language but struggle with practical conversational skills. This project will explore whether AR-driven interactive experiences can provide meaningful and situated learning and practice opportunities, particularly for individuals who lack regular access to native speakers or formal conversational practice. The research will contribute to the advancement of AI-driven educational tools, contribute to the space of AR interaction design, and support the creation of accessible and cost-effective language learning solutions. The project aligns with the research expertise and interest of the participating faculty members, who specialize in AR, AI, and Human-Computer Interaction. The project will promote international collaboration and add to the expanding field of technology-assisted language acquisition.

Voir la description complète du projet
Superviseur du corps professoral :

Wesley Willet

Étudiant :

Partenaire :

Singapore Management University

Discipline :

Computer science

Secteur :

Artificial Intelligence; Technology; Education

Université :

University of Calgary

Programme :

Globalink Research Award

Integration of Speed of Sound imaging on 3D volume acquisitions of prostate specimen

Prostate cancer (PCa) cases are expected to double worldwide by 2040, making early and accurate detection essential. Currently, diagnosing PCa is challenging due to systemic biopsy procedures, which have a low sensitivity of 48%. To improve detection and diagnosis, the research group at the University of British Columbia (UBC) is developing advanced imaging techniques such as elastography and speed of sound imaging. These methods will enhance image-guided biopsies and potentially enable less invasive treatment, reducing the need for full prostate removal. This improved imaging could lead to better patient outcomes and more effective PCa treatments.
The research at Eindhoven University of Technology (TU/e) aligns closely with that of UBC, as TU/e also specializes in advanced ultrasound imaging techniques and tissue characterization. Through the internship, supported by the Mitacs Globalink Award, this international collaboration between TU/e and UBC will foster knowledge exchange and contribute to advancements in medical imaging, ultimately improving PCa diagnosis and treatment.

Voir la description complète du projet
Superviseur du corps professoral :

Septimiu (Tim) Salcudean

Étudiant :

Partenaire :

Eindhoven University of Technology

Discipline :

Engineering

Secteur :

Education

Université :

The University of British Columbia

Programme :

Globalink Research Award

AIDOX – Intelligent Document Processing

Scotiabank’s Global AI & ML (GAIML) – Intelligent Document Processing (IDP) Team has built AIDOX, an AI-powered document understanding platform that processes thousands of emails and documents daily. The current system uses fine-tuned language models for tasks like document classification, OCR, key data extraction, and entity resolution. However, the increasing complexity of financial documents requires a shift towards Large Language Models (LLMs) to enhance processing accuracy and efficiency. This project will compare existing language models with LLMs, expand AIDOX’s capabilities f or complex document processing, and integrate new document-related tasks like summarization and question-answering. The anticipated benefits include improved automation, reduced manual workload, and enhanced risk assessment capabilities for Scotiabank.

Voir la description complète du projet
Superviseur du corps professoral :

Gerald Penn

Étudiant :

Partenaire :

Scotiabank

Discipline :

Computer science

Secteur :

Finance and Insurance

Université :

University of Toronto

Programme :

Accelerate

Advancing Soft Robotics Fabrication via Multi-Material Additive Manufacturing for Enhanced Sensing and Actuation

Whether conforming safely with the movements of humans, executing adaptable motion to navigate unpredictable terrain, or handling delicate objects with precision, soft robots are revolutionizing the way machines interact with the world. Soft robots take inspiration from biological systems, incorporating soft and stretchable materials to achieve lifelike motion. However, the fabrication of these advanced systems requires equally advanced manufacturing capabilities. This collaborative project between the University of Alberta’s IMPACT Lab and UC San Diego’s Bioinspired Robotics Lab aims to improve the way that soft robots are designed and made using next generation 3D printing techniques. By developing new methods to print soft and flexible materials, we aim to create better 3D printable pneumatic actuators, sensors, and valves. These components make up soft robotic building blocks which can be combined to design fully 3D printable soft robots capable of complex logic and tasks. The project will involve both hardware development and material optimization to enhance the performance of 3D printed soft robots. The knowledge gained from this collaboration will benefit both institutions by improving fabrication techniques, enabling new robotic applications, and strengthening international research partnerships.

Voir la description complète du projet
Superviseur du corps professoral :

Dan Sameoto

Étudiant :

Partenaire :

University of California, San Diego

Discipline :

Engineering

Secteur :

Education

Université :

University of Alberta

Programme :

Globalink Research Award

Singularity formation for the hydrostatic Euler Equations

This proposal aims to integrate mathematical analysis with numerical simulations using Physics-Informed Neural Network (PINN) schemes to investigate the primitive equations, a fundamental model for atmospheric and geophysical flows. The primary focus is on achieving a precise characterization of singularity formation in these models.

Voir la description complète du projet
Superviseur du corps professoral :

Slim Ibrahim

Étudiant :

Partenaire :

Cergy-Paris Université

Discipline :

Mathematics

Secteur :

Education; Environmental Science and Technology

Université :

University of Victoria

Programme :

Globalink Research Award

Estimation of Parcel Flows on a Tram-Cargo Network

The GRAME is currently conducting an extensive opportunity study to highlight the potential role of trams in the movement of people and goods within the Greater Montreal Area.
Through this project, it has collaborated with Coop Carbone and GoMove to assess the potential for parcel distribution via a possible pan-Montreal tram network. According to modeling, a network similar to the one
proposed in Montreal’s 2050 Urban Planning and Mobility (PUM) plan, could serve up to 84% of the parcel journeys transported by Montreal distributors, using a combination of trams and cargo bikes for the final 3.5
to 5 kilometers. This indicates the coverage level for parcel delivery needs in the area by such a tram network. However, we still lack data on the capacity in terms of parcel volume transported, which is valuable information for the relevance of the study, according to our partners of the Goods Transportation Innovation Group, formed to guide the needs that the study must address. We know that this is particularly crucial for estimating the potential economic impact of this system. Additionally, it will help anticipate the capacity, primarily considering the mobility needs of users, which we believe is essential to social acceptability.

Voir la description complète du projet
Superviseur du corps professoral :

Ursula Eicker

Étudiant :

Partenaire :

Groupe de recommandations et d’actions pour un meilleur environnement

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Concordia University

Programme :

Accelerate

Benchmarking fundamental components of quantum machine learning on full-stack photonic quantum computers

Architectures for quantum computing can only scale effectively with suitable benchmarking techniques. Benchmarking is essential for evaluating the performance of quantum computers, including their algorithms and applications. This principle extends to quantum machine learning techniques, where benchmarking basic quantum machine learning methods on full-stack photonic NISQ devices is crucial.
A key challenge involves adapting quantum machine learning algorithms to Quandela’s technology and assessing their performance. Successful benchmarking could yield significant social and economic benefits, enabling the evaluation of quantum computing’s potential in addressing current AI challenges. These challenges include the increasing demand for data, the need for large HPC centers, and high energy consumption. This project aligns with Quandela’s mission to advance quantum technologies and drive meaningful innovation in AI and photonic quantum computing.

Voir la description complète du projet
Superviseur du corps professoral :

Guillaume Rabusseau

Étudiant :

Partenaire :

Quandela

Discipline :

Physics

Secteur :

Information and cultural industries

Université :

Université de Montréal

Programme :

Accelerate

Précédent
1...467468469470471472473...2,513
Suivant

Joignez-vous à un écosystème d’innovation florissant.

Abonnez-vous à notre infolettre dès maintenant!

S’inscrire