Projets novateurs réalisés

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

29 670 projets achevés

2811
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4990
C.-B.
801
MB
663
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825
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8841
ON
9197
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95
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568
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1088
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Projets par catégorie

Pre-design Roadmap for Highly Complex Urban Development with The Bentway Conservancy

This architectural and urban design proposal is a collaboration with The Bentway, to investigate the significance of place and civic identity at the intersection of radical accessibility and inclusion, social and environmental resilience, and dynamic multi-functional infrastructure to advance the Under Gardiner Public Realm Plan. The Bentway leads a creative movement to re-imagine the hybrid possibilities of the Gardiner highway and a growing “under-Gardiner corridor” of connective public spaces, active transportation routes, intersections, and transit routes. The project includes multiple tracks of research and development, related to site-specific and corridor-wide design and feasibility studies, that directly impact The Bentway’s role as a delivery agent of civic projects on behalf of the City of Toronto. The work done in collaboration with the researcher and partner institution will lay a new foundation for how we collectively improve the conditions of the Gardiner Expressway and adjacent land parcels for the generations to come, as well as outline strategies for innovative civic and partner engagement in design processes.

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Superviseur du corps professoral :

Terri Peters

Étudiant :

Partenaire :

The Bentway Conservancy

Discipline :

Sociology

Secteur :

Arts, entertainment and recreation

Université :

Toronto Metropolitan University

Programme :

Business Strategy Internship

Enhancing Wellbeing Insights: Integrating Passive Data and Advanced Psychometric Models in Mobile Health Applications

The proposed project aims to enhance UpBeing’s social wellness app by refining its wellbeing measurement model to include new check-in items and passive data sources, such as data from wearable devices and calendars. This project will improve the app’s accuracy in measuring users’ mental wellbeing and provide more comprehensive and actionable insights. The expected benefit to UpBeing is a more robust and reliable model that can better support users in improving their mental health, leading to higher user satisfaction and engagement.

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Superviseur du corps professoral :

Norman Farb

Étudiant :

Partenaire :

UpBeing Inc.

Discipline :

Sociology

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Business Strategy Internship

CARPS Remote Monitoring

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

Voir la description complète du projet
Superviseur du corps professoral :

Alexandre Marois;Sebastien Tremblay

Étudiant :

Partenaire :

Thales Recherche et Technologie

Discipline :

Life Sciences

Secteur :

Management of companies and enterprises; Manufacturing; Professional, scientific and technical services

Université :

Université Laval

Programme :

Accelerate

Modeling and supporting pilot decision making using human-generated counterfactuals

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

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Superviseur du corps professoral :

Sebastien Tremblay

Étudiant :

Partenaire :

Thales Recherche et Technologie

Discipline :

Sociology

Secteur :

Management of companies and enterprises; Manufacturing; Professional, scientific and technical services

Université :

Université Laval

Programme :

Accelerate

In-situ Investigation of MoS2 QDs Defects using Variable Temperature Raman Microscopy

Molybdenum disulfide (MoS2) Quantum Dots (QDs) are being developed for use in areas from optoelectronics to energy storage and conversion, but synthetic protocols have yet to be developed to prepare high quality 0-dimensional (0D) material. A key challenge in efforts to develop synthetic protocols is a lack of rapid characterization technique that can unambiguously identify and quantify structural defects. Raman microscopy is a primary technique used to characterize MoS2. In this study, variable temperature Raman microscopy is employed to analyze the structure and reactivity of MoS2 QDs under varied gaseous environments. Defects in the MoS2 lattice are expected to destabilize the lattice while simultaneously introducing chemical reactivity. Performing in-situ temperature-dependent Raman microscopy under varied environments provides the ability to prove the thermal stability and surface chemistry of MoS2 QDs. Optimization of this characterization approach will enable identification and quantification of defects, which will in turn help refine synthetic protocols to make high quality MoS2 QDs for varied device.

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Superviseur du corps professoral :

Rodney Smith

Étudiant :

Partenaire :

Universität Duisburg-Essen

Discipline :

Physics

Secteur :

Quantum Science; Nanotechnology

Université :

University of Waterloo

Programme :

Globalink Research Award

Développement de bots d’extraction et d’analyse de données d’entreprise pour la revue diligente

Notre projet principal vise à transformer le processus de due diligence lors de l’acquisition d’une entreprise. Pour ce faire, nous développerons un algorithme multimodal capable de collecter et de structurer efficacement toutes les informations contenues dans la salle de données d’une entreprise. Cet algorithme analysera divers types de données, qu’elles soient textuelles, numériques ou visuelles, pour offrir une évaluation complète et précise de la compagnie. Grâce à cette technologie, nous espérons rendre le processus de due diligence plus rapide, plus précis et plus efficace, facilitant ainsi les décisions d’acquisition pour les entreprises.

Voir la description complète du projet
Superviseur du corps professoral :

Sylvie Ratté;Aziz Salah;Bruno Agard

Étudiant :

Partenaire :

Logiciels Hadaly

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

École de technologie supérieure; Polytechnique Montréal; Université du Québec à Montréal

Programme :

Accelerate

Investigating apparent anomalies of light-matter interaction during laser-induced incandescence

Nanostructures are increasingly used for many purposes that include drug delivery, solar cell efficiency improvement, catalysts, and optical sensors. Accordingly, there has been a corresponding increase in demand for nanostructures, and a need for efficient manufacturing processes that can meet this demand. One such manufacturing process that has shown potential is gas-phase synthesis. Nanostructures can also be harmful to the respiratory system when undesirably aerosolized as a consequence of industrial processes such as welding or metal grinding. Therefore, it is important to characterize aerosolized nanostructures both to assess the properties of gas-phase engineered nanostructures and to ensure air quality and safety standards are met. Laser-induced incandescence (LII) is an in-situ and time-resolved optical diagnostic technique that can efficiently and timely characterize nanoaerosols for size, an important property for nanoparticles. The collaboration of the home and host institutions will allow for high-quality research leading to the improvement and better understanding of LII as a diagnostic technique. By so doing, this will position Canada and Germany favorably to easily integrate diagnostics and quality assurance measures into the growing market of nanomaterials. This technology also has the potential for being commercialized into a consumer product allowing for a quick assessment of aerosolized particulates.

Voir la description complète du projet
Superviseur du corps professoral :

Kyle Daun

Étudiant :

Partenaire :

Universität Duisburg-Essen

Discipline :

Engineering

Secteur :

Environmental Science and Technology; Nanotechnology

Université :

University of Waterloo

Programme :

Globalink Research Award

Environmental Scan of Canadian Investments in Youth Mentoring

Mentoring programs, at their core, are focused on offering youth social supports through relationships with caring adults and are well positioned to meet the need for human connection. Mentoring is a popular prevention and intervention strategy often used to promote young people’s overall positive development as well as to address specific challenges. Mentorship can have a significant impact on a wide range of developmental, academic, and professional outcomes. Mentoring is well aligned with many Canadian policy priorities, including combating loneliness and isolation, fostering mental health and well-being, supporting critical life transitions for youth, and improving young people’s educational and employment outcomes. However, it is challenging to understand the full breadth of public investment in youth mentoring at the federal and provincial levels without a consolidated national effort. The proposed project aims to amalgamate the various youth mentoring projects funded across Canada.

Voir la description complète du projet
Superviseur du corps professoral :

Lia Daniels

Étudiant :

Partenaire :

Boys and Girls Clubs Big Brothers Big Sisters of Edmonton and Area;Mentor Canada

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

Anomaly Detection on Serial Bus Systems

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW.

Voir la description complète du projet
Superviseur du corps professoral :

Omar Abdul Wahab;Adel Abusitta

Étudiant :

Partenaire :

Thales Recherche et Technologie

Discipline :

Computer science

Secteur :

Management of companies and enterprises; Manufacturing; Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

Accelerate

Fidgeting for Insight: Exploring On-Body Touch as a Tool for Emotion Tracking and Personalized Support in Wearable Design

THIS IS A GENERIC TEXT PLACE PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW.

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Superviseur du corps professoral :

Karon MacLean

Étudiant :

Partenaire :

Lululemon

Discipline :

Computer science

Secteur :

Manufacturing; Retail trade

Université :

The University of British Columbia

Programme :

Accelerate

Machine Learning developer intern working with the City of Calgary to develop and commercialize AI-powered solutions in the Public Services sector (1)

The project comprises internships in a variety of technical and business roles within our organization and within our GovLab program. Within the organization, roles include associate machine learning developer, business development associate, communications associate and finance associate. Within GovLab specifically, roles include associate machine learning developer, associate business solutions consultant, and project delivery associate. The difference is mainly that in GovLab, there is a focus on public sector problems, whereas in AltaML overall, we work across sectors.

Voir la description complète du projet
Superviseur du corps professoral :

Svetlana Yanushkevich

Étudiant :

Partenaire :

AltaML

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Calgary

Programme :

Business Strategy Internship

Development of an Inline Testing Method for Resistance Spot Riveting

Dissimilar-material joining is becoming increasingly sought after in several industries – including automotive, aerospace, and rail – due to the potential to improve vehicle weight reduction and efficiency while maintaining safety and structural strength. Resistance Spot Riveting (RSRTM) is a novel joining technology designed to enable inexpensive, efficient, and effective dissimilar-material joining. As it stands, no proven methodology nor technology exists for RSR process monitoring or quality control. This current lack of sufficient joint evaluation inhibits the adoption of RSR. The purpose of this research project is to design, optimize, and implement a real-time inline automated ultrasonic inspection system for RSR. The main objectives of this research include (1) the optimization of the ultrasonic scanning methodology and electrode cap geometry, experimentation and derivation of proper ultrasonic configuration for noise-free and reliable data collection, (2) the creation of a large dataset of ultrasonic data and corresponding physical joints, (3) correlation studies between ultrasonic data and physical properties of the welds, (4) development of artificial intelligence (AI) model for automated characterization of RSR joints from ultrasonic scan data, (5) deployment of the new software to the ultrasonic monitoring system specific for RSR capable of automatic decision making about the joint quality.

Voir la description complète du projet
Superviseur du corps professoral :

Roman Maev

Étudiant :

Partenaire :

CenterLine Limited

Discipline :

Engineering

Secteur :

Advanced Manufacturing; Automotive; Transportation (excluding aerospace)

Université :

University of Windsor

Programme :

Business Strategy Internship