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

Transceivers based on quantum dash optical frequency comb sources for optical access networking

The project focuses on the design, modeling/simulation, and testing of photonic devices, and the co-design of electronicphotonic
integrated circuits, to realize transceivers that can be commercialized for use in both wireline, e.g., passive optical
networks (PONs), and wireless, e.g., 5G backhaul, access networks with an emphasis on meeting the reach requirements
for remote and underserved communities. Two interns will work with the partnering organizations—National Research
Council Canada and FONEX Data Systems, Inc.—to optimize the performance of semiconductor optical sources and develop
photonic devices and integrated circuits, as well as associated electronics, and involves empirical, experimentally-driven
research and extensive engineering design. NRC will thus be able to expand their technology portfolio and transfer
semiconductor optical sources to new industrial partners, such as FONEX, for new applications areas. FONEX will be able
to develop technologies for their service provider clients to deploy high-speed broadband services.

Voir la description complète du projet
Superviseur du corps professoral :

Lawrence R. Chen;David V Plant;David V. Plant

Étudiant :

Partenaire :

Fonex

Discipline :

Engineering

Secteur :

Information and Communications Technology

Université :

McGill University

Programme :

Accelerate

Intact : Évaluation de l’incertitude en tarification

La mesure de l’incertitude dans les prédictions est considérée clé pour prendre des décisions informées à partir
des données. Ceci améliore également la transparence et la confiance dans les prédictions d’un modèle. Ceci
peut également influencer le design expérimental et la balance entre l’exploitation d’une solution et le besoin
d’exploration et de collecte de données supplémentaires. Dans cette optique, définir un niveau de confiance sur
les prédictions des métriques utilisées pour l’établissement des prix en assurance de dommages est un filon
intéressant à exploiter. L’objectif principal de ce projet de recherche est d’explorer les fondations pour la mesure
de l’incertitude dans différents modèles d’apprentissage machine utilisés pour la tarification en assurance de
dommages.

Voir la description complète du projet
Superviseur du corps professoral :

Christian Gagné;Pascal Germain

Étudiant :

Partenaire :

Intact

Discipline :

Computer science

Secteur :

Finance and Insurance

Université :

Université Laval

Programme :

Accelerate

Plateforme d’analyse des données pour le suivie des performances de stratégies d’investissements

Le projet proposé vise à produire un outil d’analyse et d’aide à l’investissement basé sur des données de performances de marchés, d’indicateurs financiers ainsi que des données relatives aux caractéristiques des compagnies publiques. Le stagiaire devra traiter les données pour en extraire des informations pertinentes visant à expliquer le comportement de stratégies d’investissement mis en place par les utilisateurs. À la fin de ce projet, l’objectif est de mettre en adéquation les stratégies d’investissements et leurs comportements sur le marché. Cette analyse offre une valeur ajoutée aux utilisateurs qui souhaitent obtenir une compréhension approfondie des données, qui peut ne pas être prise en compte lors de la formulation d’une stratégie analytique.

Voir la description complète du projet
Superviseur du corps professoral :

Bruno Agard

Étudiant :

Partenaire :

Logiciels Hadaly

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

Accelerate

Development of a low-cost antireflective nano-structure manufacturing approach for large-scale glass applications to increase solar panel efficiency

The eye of moths and other natural bio-surfaces feature nanotextures that eliminate virtually all reflection of light. Scientists and product engineers are just beginning to tap into this fundamentally higher performing anti-reflection approach compared to thin films coatings currently used in all commercial products. These anti-reflective protective glass increases energy production for solar panels and enable sunlight-readability for electronic screens. In this project, we continue to build upon our imprinting approach to further developing a highly scalable, cost-effective nanotexturing manufacturing process, optimized using numerical modeling for process prediction. This work is performed in partnership with a Montreal-based global leader in nanotextured anti-reflective technologies. In this all-Canadian academic-industrial partnership, project deliverables fuel the growing international impact of Canadian companies, contribute new knowledge on high-precision advanced manufacturing technologies, contribute to the green technology movement and ultimately create new Canadian jobs for highly qualified personnel.

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Superviseur du corps professoral :

Lucas Hof;Ricardo Zednik

Étudiant :

Partenaire :

Edgehog Advanced Technologies Inc.

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

École de technologie supérieure

Programme :

Accelerate

Determing the value of delivering light >500nm to dental resins

A new curing light, PinkWave (Apex, Racine, WI) was introduced last year (https://vistaapex.com/pinkwave). This light is unique because it has four distinct wavelength bands that deliver red (625 – 750 nm), infrared (800 – 900 nm), blue, and violet light. The manufacturer also claims that this ‘quad-wave’ light can reduce polymerization shrinkage stress.[13] Initial reports indicate that the value of using this ‘quad-wave’ light to photo-cure current RBCs remains uncertain because the absorbance spectra of four most common photoinitiators used in dental resins; camphorquinone (CQ), 2,4,6-trimethylbenzoyl)-phosphine oxide (BAPO), Ivocerin, and Lucirin TPO will not benefit from receiving light above 500 nm. In view of the fact that dentists are using this light to photo-cure dental fillings in Canada, more research is required to determine the effectiveness of this particular curing light that dentists both in Canada and the rest of the world are using on patients.
This research will:
(1) Measure the spectral radiant power from the PinkWave using a fiber optic spectrometer;
(2) Evaluate the benefit of including light above 500 nm from a curing light using the hardness (VH) and degree of conversion (DC) of flowable and regular-viscosity four different dental resins 24 h after exposure PinkWave

Voir la description complète du projet
Superviseur du corps professoral :

Richard Price

Étudiant :

Partenaire :

Ivan Horbachevsky Ternopil National Medical University

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Technology

Université :

Dalhousie University

Programme :

Globalink Research Award

Carboxyalkylated and sulfoalkylated nano lignin as an emulsifier for coating application

The overall objective of this study is to generate lignin-derived sustainable emulsion systems for coating applications. The main focus of this study is on the generation of functional lignin derivatives and then the conversion of these lignin derivatives to lignin nanoparticles. Afterward, the use of lignin nanoparticles in oil-water emulsions will be studied for coating applications.
Specifically, she will study the generation of lignin nanoparticles from carboxyalkylated and sulfoalkylated lignin and comprehensively characterize them. Then, she will study how these nanoparticles can be used as oil-water emulsifiers with different characteristics.
This project will examine the use of carboxyalkated and sulfoalkylated lignin in an application that has not been studied in Canada, and therefore will widen the activities of lignin valorization at Lakehead University (and Canada). Although Lakehead University has an advanced laboratory for lignin characterization, it is not equipped for assessing coating applications. Therefore, this internship will not only provide an opportunity for the intern to learn new methods and visit KTH but also a chance for Lakehead university to explore the use of lignin in a new application (i.e., coating formulations).

Voir la description complète du projet
Superviseur du corps professoral :

Pedram Fatehi

Étudiant :

Partenaire :

Kungliga Tekniska Högskolan

Discipline :

Engineering

Secteur :

Sustainability & the Environment; Advanced Manufacturing; Nanotechnology

Université :

Lakehead University

Programme :

Globalink Research Award

Free radical polymerization of lignin and PCL for 3D printing materials

The main goal of her study is to make sustainable polymers from lignin that can be used in three dimensional (3D) printing material production. The student will work on making 3D printing materials from polymerized lignin and polycaprolactone (PCL). At Abo Akademi, the student will use different monomers to generate composites of lignin and PCL. Then, she will characterize the properties and performance of the produced lignin-PCL as a 3 D printing material using the advanced tools available at Abo Akademi. She will optimize the properties of the polymers to achieve the best performance. It is expected that she will need 6 months (starting June 2023) to complete this project in Finland. It is also expected that, in addition to scientific outcomes that benefits both institutes, this student mobility will strengthen the collaboration between Lakehead and Abo Akademi universities. It is also expected that this collaboration will create an opportunity for Canada to strengthen itself in knowledge and material development for sustainable product fabrications.

Voir la description complète du projet
Superviseur du corps professoral :

Pedram Fatehi

Étudiant :

Partenaire :

Åbo Akademi University

Discipline :

Engineering

Secteur :

Education

Université :

Lakehead University

Programme :

Globalink Research Award

3D computer vision

Monocular depth estimation aims to infer the distance information of objects in a 2D image. It is an integral part of many computer vision tasks and has applications to autonomous driving, robotics, and virtual reality, among others. This project focuses on developing a new deep-learning-based monocular depth estimation method with high efficiency, competitive performance, and low generalization error. To this end, various approaches will be explored, including the exploitation of 3D prior and geometric information as well as the design of new loss functions. The project will lead to publications in top computer vision conferences /journals, new datasets, and patents.

Voir la description complète du projet
Superviseur du corps professoral :

Jun Chen

Étudiant :

Partenaire :

New York University

Discipline :

Engineering

Secteur :

Education

Université :

McMaster University

Programme :

Globalink Research Award

Photovoltaic window coatings

This project aims to conduct research towards the development and implementation of photovoltaic energy generating windows. Through the use of window coatings, the windows of an everyday home will be converted to a source of generating energy to power the home. This research will take us a step closer to our goals of net-zero by developing windows that can generate energy to power the home as well as tests on their use in charging applications. The benefits to the partner organization will be the data then allowing the company to develop and implement solar windows.

Voir la description complète du projet
Superviseur du corps professoral :

Wayne Groszko

Étudiant :

Partenaire :

Kohltech Windows And Entrance Systems

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Nova Scotia Community College

Programme :

Accelerate

Canadian Faces of Learning Disabilities (CFOLD) – Obtaining and Disseminating Knowledge

The objective of this project is to provide a research report synthesizing Canadian research that directly relates to Learning Disabilities (LD). This project will benefit Canadians as it will provide stakeholders who support individuals with LD with easy access to information. Easy access to recent research will help to educate Canadians on a variety of aspects pertaining to LD such as causes, diagnostic criteria, assessment procedures, underlying cognitive processing difficulties, learning strategies, assistive technology, and help individuals to develop an understanding of their diagnosis. The objectives of this project are to: i) collect research; ii) provide an analysis of recently published Canadian research; and iii) support knowledge mobilization pertaining to the last decade of Canadian research on LD, and identify topics in need of further exploration.

Voir la description complète du projet
Superviseur du corps professoral :

Lauren Goegan;Gabrielle Young

Étudiant :

Partenaire :

Learning Disabilities Association of Canada (ON)

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

University of Manitoba

Programme :

Business Strategy Internship

Investigating Smart Wearable Systems for Workplace Wellness Management

Japan is a leading example of a nation with a rapidly ageing society and currently consists of the highest proportion of elderly adults worldwide. Among others, this has led to a series of downstream concerns, including labour shortage issues and reduced ability of working individuals to finance those who are retired. As one of the strategies to address these concerns, combined government and society-wide efforts over recent years have encouraged greater employment opportunities for elderly. However, given that elders are often more prone to age-related difficulties, such as decreased physical and cognitive function, this higher proportion of working elders gives rise to a pressing need for an effective workplace wellness management system. Hence, this project aims to investigate the physiological differences between a “healthy” and “diseased” worker as well as to refine the tolerance that is used when differentiating between the two states. By exploring various ways of defining the health-disease boundary, the project will reduce the likelihood of false positives when identifying “disease”, thus improving confidence when separating the two states for use in real-world conditions.

Voir la description complète du projet
Superviseur du corps professoral :

Arthur Chan

Étudiant :

Partenaire :

Osaka University

Discipline :

Engineering

Secteur :

Education

Université :

University of Toronto

Programme :

Globalink Research Award

NEGF based Cryogenic MOSFET simulation including inelastic scattering

The project aims to develop a state-of-the-art numerical simulator to compute transistor’s physical behaviors at deep cryogenic temperatures. First of its kind, the simulator will incorporate physical effects critical for transistor’s operations at cryogenic temperature such as inelastic scattering, while maintaining computational efficiency and robustness. The successful outcome will provide the research community a widely desired tool for understanding and predicting how realistic MOSFETs behave under deep cryogenic temperatures. It is expected that the simulator will provide critical enhancement to the current product line of the partner organization, Nanoacademic Technologies, a leading company in cryogenic temperature numerical simulation for semiconductor devices.

Voir la description complète du projet
Superviseur du corps professoral :

Lan Wei

Étudiant :

Partenaire :

Nanoacademic Technologies Inc.

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Accelerate