Projets novateurs réalisés

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

30156 projets achevés

2861
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5059
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812
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673
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842
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8957
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9368
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96
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579
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1120
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Projets par catégorie

Adaptation du protocole de l’Indice de Biodiversité Potentielle dans les forêts boréales mixtes du Québec

Pour évaluer le succès des pratiques d’aménagement durable des forêts au Québec, il est nécessaire d’avoir accès à des outils de diagnostic non-seulement efficaces en termes de qualité des données récoltées, mais aussi facile à appliquer sur le territoire. Pour l’évaluation de l’impact de l’aménagement sur la biodiversité, les outils actuels manquent toutefois soit de précision, soit sont trop demandant en temps et en moyens pour pouvoir être utilisés de manière significative. L’objectif de ce projet est donc d’adapter le protocole de l’Indice de Biodiversité Potentielle (IBP) pour les forêts boréales mixtes du Québec. Ce protocole permet un diagnostic rapide de la qualité et de la diversité des habitats forestiers (par exemple le bois mort, les arbres habitats ou les milieux humides). Il a démontré son efficacité et sa facilité d’application dans les forêts européennes, mais il n’a toutefois jamais été utilisé en Amérique du Nord ou dans des forêts boréales, y compris en Europe. Nos objectifs sont donc d’adapter les seuils de l’IBP au contexte des forêts boréales mixtes du Québec pour discriminer efficacement les forêts à haute valeur écologique, ainsi que d’évaluer si les données de télédétection peuvent permettre de prédire les scores d’IBP des peuplements forestiers.

Voir la description complète du projet
Superviseur du corps professoral :

Maxence Martin

Étudiant :

Partenaire :

Université Grenoble Alpes

Discipline :

Life Sciences

Secteur :

Education

Université :

Université du Québec en Abitibi-Témiscamingue

Programme :

Globalink Research Award

Leak Detection and Localization in Water Distribution Networks Using Machine Learning

Water distribution networks, which provide clients drinking water, are prone to leaks. Leaks are a critical area of concern, as they cost billions of dollars each year, and can allow water-born pathogens into drinking water, which is a public health concern. Current leak detection methods are very labor intensive, as many of them require experienced operators, or require surveys to be filled out. In contract, Digital Water Solution’s hydrant.ai is a device that can be installed on fire hydrants, which, listens to these water networks using hydrophones, which are similar to microphones, but are designed to work well underwater. This research project will study the performance of these devices in detecting and localizing leaks across pipe networks that vary in shape. Further, a leak detection and localization algorithm will be developed, which will leverage recent advances in artificial intelligence and machine learning.

Voir la description complète du projet
Superviseur du corps professoral :

Chul Min Yeum;Giovanni Cascante

Étudiant :

Partenaire :

Digital Water Solutions

Discipline :

Engineering

Secteur :

Transportation and warehousing

Université :

University of Waterloo

Programme :

Accelerate

Effet des éclaircies précommerciales et commerciales sur la sévérité des feux dans les forêts boréales conifériennes de l’Est du Canada

En 2023, les feux de forêt au Québec ont brûlé plus de 1,5 million d’hectares dans la forêt aménagée. La communauté forestière a été particulièrement surprise que ces feux aient touché principalement des forêts jeunes issues de coupes. Jusqu’à présent, les connaissances sur les incendies se concentraient sur les paysages naturels dominés par les vieilles forêts. Cependant, la faible occurrence des feux au Québec dans les dernières décennies a pu masquer les interactions entre l’aménagement forestier et le risque d’incendie.
Avec l’augmentation prévue des feux en raison des changements climatiques, il est urgent de déterminer si les feux de 2023 sont une exception ou si les pratiques forestières augmentent ce risque. Ce projet se concentre sur l’impact des éclaircies précommerciales et commerciales dans les forêts de pin gris et d’épinette noire. L’objectif est d’évaluer si ces pratiques, qui visent à favoriser la croissance des arbres, réduisent ou augmentent le risque de feu. Les résultats permettront de guider les gestionnaires forestiers pour renforcer la résistance des forêts boréales face aux incendies.

Voir la description complète du projet
Superviseur du corps professoral :

Maxence Martin

Étudiant :

Partenaire :

AgroParisTech

Discipline :

Life Sciences

Secteur :

Education

Université :

Université du Québec en Abitibi-Témiscamingue

Programme :

Globalink Research Award

Software Bug Detection using Federated Learning Models: A Comparative Study

This research aims to advance the field of federated learning by addressing privacy, domain shifts, and personalization challenges, particularly in the context of mobile and digital healthcare. By developing robust and scalable solutions, the proposed framework has the potential to significantly enhance patient care, diagnostics, and personalized treatment while maintaining stringent privacy standards

Voir la description complète du projet
Superviseur du corps professoral :

Banani Roy

Étudiant :

Partenaire :

Università della Svizzera italiana

Discipline :

Computer science

Secteur :

Artificial Intelligence; Information and Communications Technology; Health and Related Sciences & Technology

Université :

University of Saskatchewan

Programme :

Globalink Research Award

L2M – Link Between Worlds

The Link Between Worlds is a project that focuses on bringing creative expression to peoples and communities that typically are not given a voice. The objective of The Link Between Worlds is to create sustainable and repeatable film creation opportunities for Indigenous people to grow and learn skills in the film industry, creating an outlet for job creation, entrepreneurship and healing through storytelling. In addition to learning how to bring a film to life creatively, we will teach the business of filmmaking through completed projects that will be brought to the marketplace with ownership as well as a potential financial source of income and repeatability. The partner organization will benefit directly through association with this project as it supports awareness and support through the current matter of Truth and Reconciliation.

Voir la description complète du projet
Superviseur du corps professoral :

Judith McIntyre

Étudiant :

Partenaire :

I-INC Foundation for Business Development

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

Vancouver Island University

Programme :

Business Strategy Internship

L2M – Video based movement analysis

I am transforming the smartphone into a portable lab. The goal is to unlock a wealth of movement data that can be used for health and performance metrics. My business aims to democratize access to lab-quality movement data, making it accessible from the comfort of your home. This work will contribute to the overall field of sports sciences and benefit the partner organization with new technology.

Voir la description complète du projet
Superviseur du corps professoral :

Peter Cripton

Étudiant :

Partenaire :

I-INC Foundation for Business Development

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Business Strategy Internship

Hydrogen supply chain design

The research focuses on designing and optimizing hydrogen supply chains (HSC), from production to consumption, to enhance the flexibility, efficiency, and cost-effectiveness, contributing to the global energy transition towards renewable sources. The project will develop and refine mathematical models, validate these models with real-life data, and integrate sustainability metrics to ensure environmental and economic viability. The project will foster interdisciplinary and international collaborations by coupling expertise about supply chain analytics and optimization with hydrogen production with experts from École de technologie supérieure (ÉTS) in Canada and Universidad de La Sabana in Colombia. The project is expected to significantly contribute to clean energy goals worldwide, enhance innovation capacity, and provide valuable insights into the logistics and efficiencies of hydrogen supply chains.

Voir la description complète du projet
Superviseur du corps professoral :

Jairo Montoya Torres

Étudiant :

Partenaire :

Universidad de La Sabana

Discipline :

Engineering

Secteur :

Green/Alternative Energy; Sustainability & the Environment

Université :

École de technologie supérieure

Programme :

Globalink Research Award

External Validation of MERCI, a machine learning algortihm for the early detection of retinal toxicity.

Chronic diseases incur a significant socio-economic cost to both patients and the health care system. Physicians must continuously monitor and modify therapies to best meet the patients’ changing requirements, often requiring regular health care visits for specialized testing.
Hydroxychloroquine (HCQ) is a disease-modifying antirheumatic drug often prescribed to patients with chronic inflammatory diseases such as rheumatoid arthritis and systemic lupus erythematosus (SLE). HCQ is generally safe but can occasionally cause sight threatening damage to the eye. It is recommended that patients treated with HCQ receive annual eye care appointments with a battery of specialized testing including visual fields, optical coherence tomography, retinal imaging and multifocal electroretinography.
We developed “The Multifocal Electroretinogram Classification Interface (MERCI)”, a machine learning approach to automate the identification of patients at risk of vision loss due to HCQ. By establishing and maintaining an open, accessible and sustainable archive of high-quality bio-specimens and rich annotated clinical data from diverse clinical populations recruited from multiple centers across Canada, this proposal will validate the performance of the MERCI algorithm and support it’s uptake as a clinical tool.

Voir la description complète du projet
Superviseur du corps professoral :

Brian Ballios

Étudiant :

Partenaire :

Kensington Eye Institute;Kensington Health

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

University Health Network

Programme :

Business Strategy Internship

Parallel intelligent multiple-run facility for optimal design of power systems

The research aims to develop a new computer algorithm for automating simulations of complex power systems when simulations are used for design. The new algorithm will be able to find multiple optimal solutions, which will give the designer the ability to scrutinize and select the most suited option. Additionally the algorithm will be parallel in nature, which means it can be executed simultaneously and in unison on several computing machines.

Voir la description complète du projet
Superviseur du corps professoral :

Shaahin Filizadeh

Étudiant :

Partenaire :

Manitoba Hydro International Ltd

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Utilities

Université :

University of Manitoba

Programme :

Accelerate

Researching ethical LLM applications for improving the therapy note-taking process

Mental health professionals are evolving as they use a multitude of therapy modalities in every session. Already, therapists each have a different way of writing notes to each other, which becomes more complicated when applying a different set of modalities. This research will enable generating LLM case notes for therapists that are unique to their own individual-style of writing, rather than generic prompting. Further, notes go beyond case-notes into formulating treatment plans, intake forms and other admin work that could be minimized to allow therapists to focus on client care.

Voir la description complète du projet
Superviseur du corps professoral :

Norman Farb

Étudiant :

Partenaire :

Klarify

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

University of Toronto

Programme :

Business Strategy Internship

Kicked into action: Constraining the width of afterslip in an exhumed strike-slip shear zone

The Quetico shear zone is an ancient, large, dextral, strike-slip shear zone which has accommodated hundreds of kilometers of displacement. The shear zone has been exhumed from greenschist facies conditions (depths of ~15km) and represents an ancient analogue for active deformation along the San Andreas fault. We plan to use the Quetico shear zone as a natural laboratory to better understand rock deformation in active plate margins (such as the San Andreas fault) and determine the state of stress in active shear zones which we cannot directly access due to their great depths. Detailed geologic mapping and sampling by Hanna Tiitto has already been accomplished on this exhumed shear zone, and this collaboration will enable the student to collect high resolution electron backscattered diffraction (EBSD) data on her natural rock samples. These data will be used to analyze the subgrain sizes from various phases, and to use the measured subgrain size to calculate the stresses the rocks were subjected to when they deformed. These data will provide valuable constraints on stress partitioning within active plate boundary faults, with the hope of being able to exploit these observations to better predict earthquakes in active plate boundary fault/shear zones.

Voir la description complète du projet
Superviseur du corps professoral :

Pete Hollings

Étudiant :

Partenaire :

University of Southern California

Discipline :

Earth science

Secteur :

Education

Université :

Lakehead University

Programme :

Globalink Research Award

Prototype for Critical Metals Liquid-Liquid Extraction

Hatch Ltd. is a global multidisciplinary consultancy company that provides engineering and business knowledge within the metals, energy and infrastructure sectors. The project proposes constructing a scaled-down, modular proof-of-concept prototype enabling extensive testing and validation studies for liquid-liquid extraction of critical minerals and metals. The design and construction of a custom-made mixer and settler unit targets the following outcomes for safe and sustainable extraction: improve mixing performance, minimize separation time, reduce plant footprint, increase efficiencies (i.e. use less organic solvents and lower capital/operational costs), improve environmental impact and safety. Key elements of proposed project are: 1) design and construction of a prototype bench-scale unit which enables exploration of different types of in-line mixers and rapid experimental progression, 2) design and construction of a scaled-down conventional mixer-settler unit to demonstrate the key benefits of the prototype design, and 3) an integrated droplet size testing system and analysis protocol for in-line characterization of extracted products. These enhanced capabilities will enable definitive results regarding the advantages of innovative approaches to metals extraction and will pave the way to the scaled-up unit and comparative validation in the later stage of the project.

Voir la description complète du projet
Superviseur du corps professoral :

Anita Usas Neving

Étudiant :

Partenaire :

Hatch Ltd

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Sheridan College Institute of Technology and Advanced Learning

Programme :

Business Strategy Internship

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