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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801
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663
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825
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8841
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95
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568
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Projets par catégorie

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

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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.

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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.

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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.

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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

Smooth Guide Hair Interpolation for Procedural Grooming

Most recent animated films such as Peter Rabbit 2 or DC League of Super-Pets come to life with many hairy and furry characters. In this project we will build on recent advances in computer graphics to develop better tools for grooming hair and fur. We aim to improve the experience of artists in the animation and visual effects industries by reducing the time spent manually grooming hair and by providing tools to deal with complicated geometries such as the corner of a character’s mouth. Animal Logic will benefit from freeing up artists’ time and energy to focus more on storytelling and less on meticulously grooming each character.

Voir la description complète du projet
Superviseur du corps professoral :

Alla Sheffer

Étudiant :

Partenaire :

Animal Logic Studios (Vancouver) Ltd.

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

The University of British Columbia

Programme :

Accelerate

AlleyCorp Nord : MLOps pour les incubateurs

AlleyCorp Nord (ACN) a créé et développé plus de 20 entreprises sur un modèle d’incubation propriétaire (dont la plus connue MongoDB). Les entreprises fondées par AlleyCorp ont levé collectivement plus d’un milliard de dollars en capital-risque et emploient des milliers de personnes à travers l’Amérique du nord. Beaucoup de ces entreprises visent à utiliser l’apprentissage automatique (ML) à des fins d’innovation et de leviers de croissance. Cependant, malgré l’augmentation des outils de ML pour tenter de rendre l’expérimentation plus rapide et plus rationnelle, il n’est toujours pas très simple pour les chercheurs en ML ou les personnes non-ML ayant une expérience technique ou du domaine de valider de nouvelles idées sans investir beaucoup de temps et d’argent. L’objectif du stage est d’apporter une contribution en génie logiciel pour la simplification du processus ML.

Voir la description complète du projet
Superviseur du corps professoral :

Christian Gagné;Mohamed Aymen Saied

Étudiant :

Partenaire :

AlleyCorp Nord

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Université Laval

Programme :

Accelerate

3D printing of high-performance composites for advanced aerial drones

Advanced aerial drones have extensive applications in industry, e.g., water resources management, warehouse operations, search & rescue, and geographic mapping. Current drone body frames mainly use low-temperature polymers with limited thermal and structural performance. In this project, high-temperature high-performance polymers and continuous carbon fiber composites will be used for 3D printing drone body frames. It can improve tensile strength and modulus by 16 and 34 folds, respectively, compared with standard polymers. It is a collaboration with SOTI Aerospace, which is focused on self-navigating aerial drones. The objective is to design, analyze, 3D print, and test drone body frames that meet or exceed SOTI requirements while minimizing weight. 3D printing allows for the fabrication of complex geometries with minimal materials waste. This way, SOTI can significantly improve its current drone models while reducing weight, materials waste, and cost.

Voir la description complète du projet
Superviseur du corps professoral :

Kazem Fayazbakhsh

Étudiant :

Partenaire :

SOTI Inc

Discipline :

Engineering

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Toronto Metropolitan University

Programme :

Accelerate

Investigating Sugar Kelp’s potential as an environment-friendly biofertilizer for sustainable potato production

The proposed research aims to evaluate different processing techniques to ensure sugar kelp’s safety and stability as a biofertilizer for potato production. And nutrient contents of the processed kelp will be determined, and plot-scale experiments will be conducted to grow potatoes under exclusive and in-combination application of processed sugar kelp with synthetic fertilizers for 2-years. Impacts of the treatments on the soil health and GHG emissions will also be determined. All that will help determine effectiveness of sugar kelp as a biofertilizer for sustainable potato production. The Food Island Partnership is committed to supporting sustainable agriculture in PEI as per its mission. Their guidance and support during the project will help the partners in properly conducting the experiments. And its accelerated dissemination and widescale adoption causing safe transitioning to more sustainable agriculture and socioeconomic development, as per its mission.

Voir la description complète du projet
Superviseur du corps professoral :

Gurpreet S. Selopal;Aitazaz Farooque;Aitazaz Farooque;Gurpreet S. Selopal

Étudiant :

Partenaire :

Food Island Partnership

Discipline :

Engineering

Secteur :

Agriculture

Université :

Dalhousie University; University of Prince Edward Island

Programme :

Accelerate

Developing a Guidance List for repOrting Bibliom AnaLyses (GLOBAL)

A bibliometric analysis is a way to measure and analyze the impact and productivity of a person, organization, or field of study using the number and types of publications, citations, and other metrics. It can be used to identify patterns and trends in research, evaluate the performance of individual researchers or research groups, and identify areas of growth or decline in a field. The Guidance List for the repOrting of Bibliometric AnaLyses (GLOBAL) is a set of guidelines that will help researchers and authors report their bibliometric analyses in a consistent and transparent way. Over recent years, a large increase in the number of bibliometric analyses have been published, but little guidance is available on how to report it properly. This lack of guidelines is a problem, because it makes it difficult for others to understand, interpret, and critically assess the quality of the research. To address this issue, the intern and team propose to develop a set of guidelines through a process that involves reviewing existing literature and consulting with experts, then testing and refining the guidelines through surveys and a pilot study.

Voir la description complète du projet
Superviseur du corps professoral :

David Moher;Stefanie Haustein

Étudiant :

Partenaire :

EBSCO Health

Discipline :

Mathematics

Secteur :

Information and cultural industries; Retail trade

Université :

University of Ottawa

Programme :

Elevate

Enhanced & Editable Deep Fakes

Traditional Computer Generated Imagery (CGI) splits the process into separate stages: we model geometry; apply textures and define surface properties; animate motion; and apply lighting; before combining the elements when rendering imagery. Deep-learning methods such as Deep Fakes, or NeRF train a network to combine many of these steps into a single network, and are able to produce convincing results in this way. By combining these different aspects of image generation into a single unit, these networks also make it challenging for an artist to edit the properties of the network in an intuitive way. This is because the underlying representation, which is typically a latent vector, doesn’t have a simple connection with the high-level controls an artist expects. We wish to explore ways of giving our artists intuitive ways to control neural rendering. We also want to explore ways of enhancing our results by adding additional inputs to the process.

Voir la description complète du projet
Superviseur du corps professoral :

David Lindell

Étudiant :

Partenaire :

DNEG

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

University of Toronto

Programme :

Accelerate

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