Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

31133 Completed Projects

2940
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5159
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837
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685
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882
SK
9292
ON
9695
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97
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601
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1161
NS

Projects by Category

Multi-view Neural Scene Inpainting

Capturing and manipulating 3D scenes is a topic of great interest with applications in photography, augmented reality, and robotics. Neural Radiance Fields, or NeRFs, is an emerging technology that enables high fidelity scene modeling and manipulation. This is of great interest to Samsung, as it can help create new photographic experiences for users. Our project focuses on a particular type of manipulation – object inpainting. This involves two components: segmenting the object from the scene with simple user interaction and inpainting the scene after object removal. Unlike existing NeRF manipulation work, we propose to train both components on large offline datasets of scenes and objects, enabling efficient and robust processing at test time without having to perform such learning on the fly. The intern will work in collaboration with other SAIC-Toronto staff and focus on the segmentation component of the project.

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Faculty Supervisor:

Igor Gilitschenski

Student:

Partner:

Samsung Electronics Canada

Discipline:

Computer science

Sector:

Technology; Information and Communications Technology; New and Digital Media

University:

University of Toronto

Program:

Accelerate

Ecology of Charlottetown Ponds Water Quality Parameters Biotic Indices and GIS Mapping Mitacs BSI Project

This project is based on both a continuation of yearly biomonitoring and ecological assessments of Charlottetowns ponds and extracting additional value from the data over the past five years (2017-2021). Each year and season is unique, so that continuing to capture this information means it will be permanently available allowing continuous trend analysis. The extra value from building a comprehensive report includes identifying changes in species counts and changes in water chemistry that may occur because of environmental factors (eg warmer water temperatures, decreased or increased rainfall or other inputs). An understanding of any negative water ecology trends would allow for development of a remediation plan.

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Faculty Supervisor:

Bryan Grimmelt

Student:

Partner:

City of Charlottetown Environment and Sustainability

Discipline:

Life Sciences

Sector:

Public administration

University:

Holland College

Program:

Business Strategy Internship

Anonymisation et synthétisation de données transactionnelles

La science des données est une discipline clé pour la Banque National. Au cœur de sa pratique se trouve la gestion des données. La banque souhaite toujours créer plus de valeur pour ses clients grâce aux données, mais elle souhaite éga-lement protéger leurs données et empêcher tout mauvais usage qui amènerait un bris de confiance. Pour cette raison, elle cherche à réduire son risque de données sans perdre en vélocité ou en pouvoir décisionnel.
À l’aide de techniques innovantes telles que l’intelligence artificielle et une méthodologie scientifique robuste, ce projet vise à générer des données transactionnelles non sensibles, mais tout aussi utiles que les vraies données de la banque.

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Faculty Supervisor:

Gilles Caporossi

Student:

Partner:

Banque Nationale du Canada

Discipline:

Computer science

Sector:

Finance and Insurance; Professional, scientific and technical services

University:

HEC Montréal

Program:

Accelerate

Exploring Digital Asset Regulatory Frameworks

In order to address expanding blockchain technology adoption and rapidly developing digital asset regulatory frameworks, this project, through research and reporting, will assist in developing an updated and clear understanding of regulatory environments to better inform businesses seeking to engage in this market.

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Faculty Supervisor:

Jon Festinger

Student:

Partner:

Penrose Partners

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Business Strategy Internship

Feasibility of high temperature thermal energy storage for the Calgary district heating system

See attached proposal doc for full overview (done on the old form and will not be reformatting for the online submission)

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Faculty Supervisor:

Aggrey Mwesigye

Student:

Partner:

ENMAX Power Corporation

Discipline:

Engineering

Sector:

Utilities

University:

University of Calgary

Program:

Business Strategy Internship

Identify Novel Genes Responsible for Female Infertility and Recurrent Miscarriage

Couples with infertility and recurrent miscarriage suffer from not being able to have children. They visit the best specialists in different medical centers, sometimes in different cities and countries seeking help before their biological clock declines and many do not achieve pregnancies. The overarching goal of this project is to identify novel genes for female infertility and recurrent miscarriage, understand the mechanisms of these conditions to be able to test patients for mutations in these genes and consequently improve genetic counselling and management of these conditions. This will allow offering more patients personalized treatment directed to their exact defect.

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Faculty Supervisor:

Rima Slim

Student:

Partner:

OriginElle Fertility Clinic & Women's Health Centre (ON)

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

Research Institute of the McGill University Health Centre

Program:

Accelerate

Étude de l’écosystème entrepreneurial au profit de la communauté noire du territoire Ontarien

L’autonomisation des populations noires au Canada passe notamment par l’entrepreneuriat. Les gouvernements fédéral et provinciaux et les acteurs privés (banques…) ont mis en place des programmes de financement et d’aide à l’accompagnement. Des écosystèmes entrepreneuriaux se sont renforcés ou ont émergé récemment. Notre étude vise à comprendre leur fonctionnement, leurs pratiques et les conditions de leur réussite.

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Faculty Supervisor:

Olivier Germain

Student:

Partner:

Conseil de la coopération de l'Ontario

Discipline:

Business

Sector:

Agriculture; Professional, scientific and technical services

University:

Université du Québec à Montréal

Program:

Accelerate

Development of a nondestructive condensation sampler for airborne viruses

The proposed project is to develop a bioaerosol sampler which will have minimal impact on the infectivity of captured viruses. Airborne viruses are subjected to environmental conditions which could affect their potential of infectivity as well as their capacity to resist the shearing forces and desiccating conditions during sampling procedures with standard sampling apparatuses. This leads to the underestimation of infective viral loads in aerosols and could have a dramatic impact on the nature of the decisions taken for aerosol contamination control. The development and characterization of this sampler would allow a better understanding of the transmissibility of viral diseases through the airborne route. The partner organization could greatly benefit from this project by have the opportunity to offer exclusive services to its clients and, consequentially broadening its target market to national and international contracts. Furthermore, the commercialization of this sampler could benefit research laboratories around the world for bioaerosol research.

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Faculty Supervisor:

Samira Mubareka

Student:

Partner:

Airmax environnement inc

Discipline:

Life Sciences

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Étude de faisabilité pour l’implantation d’une cellule de travail robotisée collaborative dans une petite entreprise manufacturière

Le présent projet se veut une étude de faisabilité sur l’élaboration d’une cellule robotisée de collaboration entre humain et machine. Le défi est encore plus important du fait de la taille de l’entreprise. Il est en effet rare qu’une entreprise de cette taille (moins de 10 employés) utilise la robotisation pour améliorer ses processus et pourtant, il y a déjà une cellule de palettisation robotisée et plusieurs sections de l’usine qui sont complètement automatisée. L’enjeu sera de réussir à démontrer le rendement de l’implantation d’un cobot (pour robot collaboratif).

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Faculty Supervisor:

Marc-André Gaudreau

Student:

Partner:

Recyc PHP inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

Université du Québec à Trois-Rivières

Program:

Business Strategy Internship

Additive Manufacturing of Cockpit Interior Component and Fatigue Property Testing

The CAE flight training services and flight simulators provide the future pilots with digital immersion experience and operational support solutions. Currently, additive manufacturing is found to be a valid way to fabricate the cockpit interior components with lower lead time and accelerate the product development. In order to understand the fatigue behaviors of printed component with different materials, settings and explore the possibility of additive manufactured structures, the proposed objectives of this project are: 1) to investigate the proper printing parameters and settings that avoid printing defects 2) to test the fatigue property and mechanism of the printed part under expected/maximum load. Finally, the requirement of composite reinforcement and interactions with the composite material will be analyzed.

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Faculty Supervisor:

Yaoyao Fiona Zhao

Student:

Partner:

CAE

Discipline:

Engineering

Sector:

Advanced Manufacturing; Technology; Commercial Services

University:

McGill University

Program:

Accelerate

Improved Collision Detection through Neural Guided Motion Planning

One of the primary challenges of creating robots that can complete useful real-world tasks is providing the robot
with the ability to navigate through its environment while avoiding collisions with objects. In order to do this,
robotics relies on the use of collision checkers to determine which actions will result in a collision. The time taken
for a robot to come up with a collision-free path depends on how fast it can check for collisions and how often it
has to query the collision checker. We propose to reduce the time spent on collision checking by using data
generated from simulated motion planning problems to train neural networks to predict the best way for a collision
checker to represent objects – decreasing the time taken by a collision detector to determine a collision, as well
as training neural networks to predict how close a proposed path is to objects in the environment – decreasing the
number of times a collision checker needs to be queried.

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Faculty Supervisor:

Kamal Gupta

Student:

Partner:

Sanctuary AI

Discipline:

Engineering

Sector:

Information and cultural industries

University:

Simon Fraser University

Program:

Accelerate

Public Projections of the Living Architecture Systems Group

The research project bridges across international architectural exhibitions using nextgeneration dissemination venues, including online and physical screenings. The project includes the immersive architectural environment Grove and its associated CGI film Grove Cradle. The film was created for the 17th Venice Biennale of Architecture as a collaboration between Professor Philip Beesley of Canada, Warren Du Preez and Nick Thornton Jones of the United Kingdom, and Salvador Breed of the Netherlands. Grove Cradle was projected within an immersive sculpture environment in Venice for a largely academic audience. This research project will “bring home” Grove Cradle in one or more extensions of its initial projections, including a large-scale major public venue in Toronto, Canada, taking on new meaning for the local community and providing new public context.

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Faculty Supervisor:

Philip Beesley

Student:

Partner:

City of Richmond Hill

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.