Projets novateurs réalisés

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

30 508 projets complétés

2882
AB
5105
C.-B.
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projets par catégorie

Dynamics and control for integration renewable resources

Our research is related to developing mathematical tools for analyzing power systems with massive penetration of renewable power resources, mainly wind, solar and small hydropower: that convex optimization, dynamical systems, model predictive control, optimal control, and passivity-based control. The objective of this small project is to develop model-predictive controls for the integration of renewable energies, especially wind and solar. The student is required to develop a mathematical model, implement that model in Matlab-Simulink, analyze the result and present a final report.

Voir la description complète du projet
Superviseur du corps professoral :

Betina Appel Kuzmarov

Étudiant :

Partenaire :

Universidad Tecnológica de Pereira

Discipline :

Engineering

Secteur :

Green/Alternative Energy; Energy and Utilities; Sustainability & the Environment

Université :

Carleton University

Programme :

Globalink Research Award

Understanding the evolution of epidemic models during the COVID-19 pandemic

This research project aims to review the different epidemiological modelling approaches used to predict the spread of COVID-19. The project will conduct a comprehensive search of literature and relevant sources, evaluate the quality of the identified studies, extract relevant data, and synthesize the data to provide a narrative summary of the effectiveness of different modelling approaches. The project’s goal is to identify gaps in the literature and suggest areas for future research that can enhance the accuracy and reliability of epidemiological modelling. Ultimately, this research could help in the development and implementation of effective control measures to mitigate the effects of the pandemic.

Voir la description complète du projet
Superviseur du corps professoral :

Zahid Butt

Étudiant :

Partenaire :

National Aerospace University "Kharkiv Aviation Institute"

Discipline :

Life Sciences

Secteur :

Other

Université :

University of Waterloo

Programme :

Globalink Research Award

Belt Conveyor Operating parameters Optimization for Eco-Efficient Ship-Unloading using machine learning techniques

One of the most important pieces of equipments used in maritime transportation for Self-Unloading (SUL) bulk carriers is the “conveyor belt,” which allows the ship to be a very effective and competitive solution. However, the conveyor belts use much energy, which means huge consumption of fuel materials that lead to the emission of polluting gases in harbor territory, calling for immediate actions to sustain the future green seaport vision. The operation parameters determination and their optimization are important to achieve high productivity during the unloading process, energy efficiency, and less pollution. Therefore, this project aims to use data science techniques involving machine learning to understand better conveyor belt operational parameters relationships, manipulating and processing sensors data to find a solution for energy consumption while maintaining the same efficiency and speed. The accuracy of the machine-learning techniques will be evaluated and validated.

Voir la description complète du projet
Superviseur du corps professoral :

Amin Chaabane

Étudiant :

Partenaire :

Groupe CSL Inc

Discipline :

Engineering

Secteur :

Transportation and warehousing

Université :

École de technologie supérieure

Programme :

Accelerate

Towards certification of a new green fan abradable material

The abradable rub strip (ARS) material’s main function is to minimize the clearance between blade tips and the fan case, thereby increasing the overall engine efficiency. Under tensile and compressive loading, the abradable material behaves different, and has a significant post-failure compaction under compressive loading. Therefore, its characterization is complex and requires a wide range of testing. The intern will continue their work from the previous Mitacs project on analyzing new experimental data, performing statistical analysis, comparing equivalency with incumbent material, and writing knowledge document reports on abradable rub strip (ARS) materials. Furthermore, the characterization test reports will be used to develop material models for ARS that have a significant impact on the engine simulation results of extreme cases like fan blade-off (FBO).

Voir la description complète du projet
Superviseur du corps professoral :

Kazem Fayazbakhsh

Étudiant :

Partenaire :

Pratt & Whitney Canada

Discipline :

Engineering

Secteur :

Aerospace; Advanced Manufacturing; Technology

Université :

Toronto Metropolitan University

Programme :

Accelerate

Évaluation de la formation : « Bienveillance en milieu de travail »

La pandémie de la COVID-19 et l’intensification marquée du travail ont provoqué des changements importants dans le monde des affaires. Entre autres, les querelles et les disputes ne sont pas rares en organisation. Soucieux de cette réalité, l’organisme partenaire a développé une formation portant sur la bienveillance afin de favoriser un environnement de travail harmonieux.
Le projet de recherche vise à évaluer la satisfaction des participants, évaluer le contenu de la formation et son adéquation avec les objectifs d’apprentissage ainsi que d’évaluer les impacts de la formation sur certaines variables individuelles et groupales (p. ex., bienveillance, amertume, bien-être, climat de travail).
Les résultats de l’évaluation permettront de cibler des pistes d’améliorations possibles afin de maximiser les retombées positives de la formation dans les organisations participantes.

Voir la description complète du projet
Superviseur du corps professoral :

François Courcy

Étudiant :

Partenaire :

La Croisée des sentiers

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology; Education; Social Innovation

Université :

Université de Sherbrooke

Programme :

Accelerate

Development of the second-generation moiré-fringe-based nano-alignment system (MONAS-2.0) for the fabrication of advanced stacked Fresnel zone plates

This project aims to continue an academia-industry collaboration between INRS and Applied Nanotools
Inc. (ANT) to collaboratively develop high-accuracy nano-positioning using an optical imaging approach.
The major goals include (1) the development of the second-generation moiré-fringe-based optical nanopositioning
system (MONAS-2.0), (2) the technology transfer of this system to ANT, and (3) the exploration
of new types of stacked Fresnel zone plates (FZPs) by using this system. Aiming to keep advancing lightbased
nano-positioning instrumentation for advanced manufacturing of specialized x-ray components,
this project is expected to significantly benefit ANT by enhancing technical capability, reducing operating
expenses, and increasing operational safety. The fabricated new types of stacked FZPs are also expected
to boost the sales of ANT to solidify their current technical team with the potential to open new positions
and further enhance their reputation in the field of x-ray optics. All these activities will support the future
knowledge-based economy of Canada.

Voir la description complète du projet
Superviseur du corps professoral :

Jinyang Liang

Étudiant :

Partenaire :

Applied Nanotools Inc

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Université du Québec : Institut national de la recherche scientifique

Programme :

Accelerate

Development of a system for the automatic recognition and classification of normal and abnormal cells in human blood samples

Automation of medical diagnosis/detection process is very important in terms of enhancing diagnostic accuracy, increasing throughput, reducing cost, and training new staff. Our current goal is to go from the proof of concept stage (automatic recognition and classification of human blood images) to a complete working optimized prototype and to start testing it in an actual clinical lab environment with help from CLS. The prototype design will take into account user friendliness, high throughput, robustness, integration with existing lab work flow and reasonable cost. Our goal is to decrease the processing time to 0.1 seconds through code optimizations and parallel programming and also increase the accuracy to be better than 95% which is the acceptable range in comparison with manual processing. Smartlabs aims to start a line of products based on this development

Voir la description complète du projet
Superviseur du corps professoral :

Behrouz Far

Étudiant :

Partenaire :

Smart Labs Ltd

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Calgary

Programme :

Accelerate

Microplastiques et nanoplastiques en suspension dans l’air sur le territoire de l’île de Montréal : étude exploratoire.

L’étude des microplastiques (MP) en suspension dans l’air extérieur en est à ses balbutiements. Des données recueillies en Europe, en Asie, en Océanie et au Moyen-Orient ont mis en évidence des concentrations significatives, ce qui pose de nombreuses questions sur l’exposition des populations et les conséquences en termes de santé publique. En effet, quelques travaux ont souligné le potentiel néfaste des MP sur la santé humaine. Au meilleur de nos connaissances, les études sur cette problématique sont inexistantes au Canada. Quant aux nanoplastiques (NP), ils ne font pas état de travaux particuliers et sont souvent amalgamés avec les MP.
L’objectif de ce projet est d’évaluer la pollution de l’air extérieur due aux MP/NP, dans un centre urbain comme l’île de Montréal. Ce projet va consister à faire des prélèvements dans les stations de mesures du Réseau de surveillance de la qualité de l’air (RSQA) de la ville de Montréal.

Voir la description complète du projet
Superviseur du corps professoral :

Ludwig Vinches;Nolwenn Noisel

Étudiant :

Partenaire :

Ville de Montréal

Discipline :

Life Sciences

Secteur :

Arts, entertainment and recreation; Public administration; Utilities

Université :

Université de Montréal

Programme :

Accelerate

Higher Hida and Coleman theories for function fields

The project aims to study the function fields analogue of modular forms, known as Drinfeld modular forms, which are also
significant objects in number theory. The objective of the project is to develop families of these forms, allowing for variation in their
weights, which can lead to numerous interesting applications. To achieve this goal, the project will utilize the perspective of Boxer-
Pilloni, which relates these modular forms to specific coherent cohomologies over the Drinfeld modular variety.

Voir la description complète du projet
Superviseur du corps professoral :

Giovani Rosso

Étudiant :

Partenaire :

Universidad de Santiago de Chile

Discipline :

Mathematics

Secteur :

Education; Other

Université :

Concordia University

Programme :

Globalink Research Award

Automated Cosmetic Packing System Designed for Sustainability

This project aims to provide a sustainable and low-cost packaging machine for small businesses in the cosmetics industry. This machine will be able to fully automate the packaging process for cosmetics, while also providing a near zero-waste usage. The material used for the packaging and for holding the cosmetic samples will be optimized to find a material that is 100% home compostable with low environmental impact. Satya Organics will be able to produce their samples in a sustainable process, and are able to provide this design to other Indigenous small cosmetic businesses to help with their initial start into the cosmetic industry.

Voir la description complète du projet
Superviseur du corps professoral :

Avner Bachar

Étudiant :

Partenaire :

Satya Organics

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of the Fraser Valley

Programme :

Accelerate

Low-Power Signal Processing Algorithms for an Athletic Performance Monitor

GestureLogic is building a product that optimizes athletic performance. The product is a wearable sensory network that monitors muscle activity. The goal of this research is to take this inherently complex muscle data that is acquired by the sensory network and translate it to useful biometrics for the consumer with the help of intelligent algorithms. The algorithms will help intuitively visualize important metrics such as strength of muscle contractions, heart rate and fatigue. The benefit to the partner organization is twofold. The research will help advance the organizations core product, increasing the organizations time to market. By solving some of the key problems associated with the product, the internship will also help de-risk the company’s product cycle for future investors.

Voir la description complète du projet
Superviseur du corps professoral :

Leonard MacEachern

Étudiant :

Partenaire :

GestureLogic Inc

Discipline :

Computer science

Secteur :

Health and Related Sciences & Technology; Technology

Université :

Carleton University

Programme :

Accelerate

Plastic pollution reduction: Assessment of global best practice

This research project is a collaborative effort between the University of Waterloo and Oceana Canada and is guided by several core objectives:
1) To define, compile, and assess best practices (BPs) that are commonly used for reducing plastic production in selected international jurisdictions;
2) Explore and examine the mechanisms, barriers, policies, policy instruments, etc. that support the implementation of BPs;
3) Evaluate how these BPs can inform federal-level regulatory processes in Canada, while keeping in mind any potential barriers that were identified (e.g., the lack of Corporate Social Responsibility (CSR) initiatives);

Voir la description complète du projet
Superviseur du corps professoral :

Derek Armitage

Étudiant :

Partenaire :

Oceana Canada

Discipline :

Sociology

Secteur :

Agriculture

Université :

University of Waterloo

Programme :

Accelerate

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Mitacs — Retour sur innovation

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.