Projets novateurs réalisés

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

31 620 projets complétés

2978
AB
5221
C.-B.
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projets par catégorie

Primeau Inc. – Executive Apprentice

As this project is an extension for a successful Fall 2020 and Winter 2021 MBSI participant, the work in the spring/summer term will be an extension of multiple current projects, such as: analyzing and improving IMPACT Society’s overall IT strategy, integrating a newly designed website with IMPACT Society’s CRM, managing IMPACT’s grant-writing process, and the development of a new revenue generating retreat program. For Goodpin, the intern will continue to develop successful landing pages and design marketing campaigns for charities running large corporate giving campaigns. The benefit to IMPACT Society will be a full overhaul of the current IT strategy, making it easier to track program delivery and sales data in a growing charity. IMPACT will also benefit financially from fundraising activities undertaken by the intern, and the retreat program designed by the intern will be repeatable and scalable, resulting in opportunities for sustainable growth. Goodpin will benefit by having increased capacity to onboard new clients and design new campaigns for existing clients.

Voir la description complète du projet
Superviseur du corps professoral :

Martin Halek

Étudiant :

Partenaire :

Primeau Inc.

Discipline :

Business

Secteur :

Management of companies and enterprises

Université :

University of Calgary

Programme :

Business Strategy Internship

City of Regina BSI Project

Through this Mitacs Internship, the City of Regina, members of Regina’s performing arts community and researchers from the University of Regina are combining forces to cultivate a post-COVID climate for creative work in the city that gives them a viable livelihood and maximizes the benefits they offer to the community. The specific focus of this internship is to create, in partnership with the City of Regina and under the supervision of a faculty member of the University of Regina, a data base of local spaces that might be viable for rehearsal, performance, administration and digital dissemination of performance work in both the short and long term.

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Superviseur du corps professoral :

Kathleen Irwin

Étudiant :

Partenaire :

City of Regina

Discipline :

Sociology

Secteur :

Public administration

Université :

University of Regina

Programme :

Business Strategy Internship

Finning International – Financial Analyst Intern

The Intern role will assist in business results analysis and work towards identifying areas where we can improve our cost to serve.

Voir la description complète du projet
Superviseur du corps professoral :

Martin Halek

Étudiant :

Partenaire :

Finning International

Discipline :

Business

Secteur :

Construction and infrastructure

Université :

University of Calgary

Programme :

Business Strategy Internship

Moment Connections to RHS Columns

The proposed research aims to demonstrate the performance of effective, non-proprietary moment connections for wide-flange (W-) beams to rectangular hollow section (RHS) columns in limited-ductility (Type LD) moment resisting frames (MRFs) that are easy and cost-effective to fabricate, handle, and erect. Two W-beam-to-RHS column moment connection prototypes will be developed and tested, in duplicate, at full-scale. It is anticipated that testing will demonstrate the W-beam-to-RHS column prototype connections conform with the Canadian steel design code. As a result, this research will provide economical new options for connecting W-beams to RHS columns in Type LD MRFs, which will benefit designers.

Voir la description complète du projet
Superviseur du corps professoral :

Kyle Tousignant

Étudiant :

Partenaire :

CBCL Ltd

Discipline :

Engineering

Secteur :

Construction and infrastructure; Professional, scientific and technical services

Université :

Dalhousie University

Programme :

Accelerate

Smart Dashboard for Sustainable Destination Decision Making Part 2

Destinations have quickly become victims of their own success. Destination Management Organisations (DMO’s) worldwide are making a much needed shift towards the inclusion of management alongside their marketing priorities for destination management, but are often ill equipped. There is a current gap in the marketplace for useful, comprehensive and user-friendly tools to assist them. This project will create a tool to access the information Ottawa Tourism needs, creating a tool that will be the first data driven tool to combat overtourism, improve resident sentiment, improve efficiency of resources and planning, increase destination revenue and overhead and improve overall destination health.

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Superviseur du corps professoral :

Phil Walsh

Étudiant :

Partenaire :

Ottawa Tourism;Klevr Places

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

Toronto Metropolitan University

Programme :

Accelerate

Machine Learning for dynamic microscopic imaging

In the proposed exchange project, we plan to develop a new collaborative partnership that integrates the expertise of advanced optical imaging instrumentation (McMaster: Fang) and image sequence analysis (INRIA: Kervrann) towards new dynamic imaging technologies. Specifically, we are interested in optofluidics imaging flowcytometers for point-of-care infectious diseases diagnosis as well as high throughput protein-protein interaction measurements in live cell imaging. A key novelty of this project is, instead of relying static 2D images and morphological features, we acquire 3D videos of the particulates in the flow and use motion analysis to perform detection and classification. The bilateral exchange allows the Canadian student to learn advanced AI based image sequence analysis for better optimization of the instrumentation design. It would also allow the French student to get expose to new microscopy instrumentation technologies that may lead t new computation algorithms for such systems.

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Superviseur du corps professoral :

Qiyin Fang

Étudiant :

Partenaire :

Inria Rennes - Bretagne Atlantique Research Centre

Discipline :

Computer science

Secteur :

Artificial Intelligence; Biotechnology; Health and Related Sciences & Technology

Université :

McMaster University

Programme :

Globalink Research Award

Application of Drone- and Cart-based 3D Laser Scanning Systems for Discontinuity Mapping in Underground Mines

3D laser scanners are common tools for data collection and monitoring in mining. However, there is a knowledge gap concerning how to effectively deploy this technology in underground mines. The objective of this research is to explore the applications of mobile- and cart-based scanning systems MineFly and CartScan manufactured by the partner organization in underground mining. Both systems use the mobile 3D laser scanner Versa3D. In this project, the accuracy of MineFly for discontinuity mapping will be first investigated under laboratory conditions. Next, MineFly will be used to scan rock slopes and tunnels. In the final stage, the results of scanning of an ore pass from CartScan will be used to obtain overbreak geometries. The data will then be integrated into advanced numerical models to back analyze rock mass properties. This research project will help the partner organization expand their services to rock mass characterization and geomechanical mine design.

Voir la description complète du projet
Superviseur du corps professoral :

Navid Bahrani

Étudiant :

Partenaire :

Clickmox Solutions Inc

Discipline :

Engineering

Secteur :

Mining

Université :

Dalhousie University

Programme :

Accelerate

Development of sustainable technology based on natural clay mineral

Most Canadians live in the urban regions, and most Canadian cities receive snow every year. For instance, Montreal receives about 2.3 meter of snow every year. This snow accommodates various human-made pollutants in cities and accumulates over long Canadian winter. This application to support an intern which will be involved in a collaborative project with PO-labs within PRIMA Quebec aiming to build upon the new innovation at McGill using clay minerals. We intend to use these traps to remove pollutants in snow. This innovation contributes to reduce air pollution particulate matter, in atmosphere and atmospheric interfaces such as snow. In this project, we will use a clay-based sustainable technology developed in Montréal to remove pollutants, such as snow metal contaminants and organic compounds. Through combined field and laboratory studies we will use this developed technology for decontamination of snow in for a wide range of pollutants.

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Superviseur du corps professoral :

Parisa A Ariya

Étudiant :

Partenaire :

PO-Laboratories

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate

Preventing school dropout through community worker interventions modeling (part 2)

The project is part of a desire to address the school dropout issue, particularly in multi-ethnic and disadvantaged communities. Despite the implementation of several universal interventions in Quebec, the drop-out rate remains high in numerous areas. In the Eastern Townships area, a partnership between the Sherbrooke Regional School Board and the Université de Sherbrooke in the form of a research chair has been established to study the issue since 2007. As a result, a new program (i.e., Accès 5) was initiated in partnership with a community organism, the Maison Jeunes-Est (MJE) that allowed community workers, school personnel and researchers to work together towards a common goal: better social and educational outcomes for youth. The ultimate goal of the program is to change the culture of education in the targeted community. Although the evaluation of Accès 5 demonstrated great promise for helping youth reach better outcomes, there were limitations. First, there was very little data gathered pertaining to specific undertaken actions/interventions, due to the high variability in intervention style. Second, the program is deployed in one setting, due to the limitations of the used tools. Finally, no tool enables interconnecting such variability of data sources.

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Superviseur du corps professoral :

Bessam Abdulrazak;Anne Lessard

Étudiant :

Partenaire :

Maison Jeunes-Est

Discipline :

Computer science

Secteur :

Other services (except public administration)

Université :

Université de Sherbrooke

Programme :

Accelerate

Assessing the impact of implementing the new draft regulation in Quebec Construction Code for thermal bridge calculation

From December 2021 all the construction projects in Quebec should follow new Draft Regulations Amending Quebec Construction Code. This research investigated the impact of the implementation of section 3 of the new code which relates to the envelope thermal resistance calculation by considering thermal bridges. During phase one the calculation method will be applied for the most common construction details of the building envelopes in Quebec. Phase two will challenge the accuracy of this method compared with other international standards and advanced numerical tools of 2D and 3D heat transfer models. In the end, the most efficient construction details that can meet the Quebec weather and building types requirements will be categorized.

Voir la description complète du projet
Superviseur du corps professoral :

Bruno Lee

Étudiant :

Partenaire :

AKONOVIA

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Concordia University

Programme :

Accelerate

Automatic evaluation for industrial training simulation using reinforcement learning

The proposed research project will improve CM Labs Simulations’ construction training simulators by automatically evaluating trainees and providing useful feedback about their progress frequently throughout the training cycle. Machine learning techniques will be applied to a large dataset of training simulator recordings in order to discern good skill progression of heavy machine operation for various training scenarios and various levels of expertise. Inverse reinforcement learning and world model algorithms will be leveraged to learn reward functions, thus providing a mechanism to score students on their progress and easily identify what actions lead to improving their performance as heavy vehicle and construction equipment operators. The resulting framework will allow for automatic evaluation of trainees even when expert instructors are unavailable.

Voir la description complète du projet
Superviseur du corps professoral :

Samira E Kahou;Sheldon Andrews

Étudiant :

Partenaire :

CMLabs

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

École de technologie supérieure

Programme :

Accelerate

Assemblage assisté par métrologie 3D pour bâtiments modulaires

RCM Groupe est un leader national dans la fabrication des bâtiments modulaires pour différents secteurs d’activité tels que l’hôtellerie, la santé et l’immobilier. RCM cherche à améliorer sa productivité, son niveau d’assurance qualité et de traçabilité. Les modules sont construits aujourd’hui sur différentes stations d’assemblage et d’inspection. Le but du projet est de développer une solution robuste qui intègre la métrologie dimensionnelle 3D à moyenne échelle pour permettre le contrôle de la qualité et d’assister les opérateurs lors du positionnement des différents composants. Le projet inclut la sélection de la technologie à implanter, son déploiement et le développement des outils informatiques permettant d’assister les opérations.

Voir la description complète du projet
Superviseur du corps professoral :

Louis Rivest

Étudiant :

Partenaire :

RCM modulaire

Discipline :

Engineering

Secteur :

Manufacturing

Université :

École de technologie supérieure

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.