Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Évaluation et optimisation de mesures classiques et innovantes de réduction des nuisances vibratoires et sonores générées par la machinerie des navires.

Les sources et niveaux de bruits sous-marins d’origine humaine, le bruit anthropique, n’ont cessé de croitre depuis les cinquante dernières années. Parmi les activités humaines générant ce bruit, la navigation commerciale figure parmi les principales contributrices et le bruit qu’elle émet est principalement généré par l’hélice et la machinerie des navires. Il existe des technologies pour la réduction du bruit des navires commerciaux, mais ces technologies sont peu testées en mer et la base de connaissances concernant leur dimensionnement et leur installation est très limitée.
Ce projet vise à tester et optimiser des technologies et des méthodologies classiques et innovantes pour le contrôle et la réduction du bruit sous-marin lié à la machinerie, et ce afin de mieux documenter leur mise en œuvre et de guider la sélection de moyens à mettre en place sur des navires réels. Pour simplifier la complexité par rapport à des tests en mer, les tests durant ce projet se feront en majorité sur une plateforme en bassin.

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Faculty Supervisor:

Olivier Robin

Student:

Partner:

Innovation Maritime

Discipline:

Engineering

Sector:

Education; Professional, scientific and technical services; Transportation and warehousing

University:

Université de Sherbrooke

Program:

Accelerate

Building Custom Configurable Vessels for Autonomy and AI Research on Demand

Future ships will be greener and safer, because they will be self-driving. But testing self-driving ships in the ocean is complicated and dangerous. For that reason, we invented a new way of building smaller models of ships, to safely tests these new technologies. Building ships our way is cheaper and easier than older methods and makes models reusable for future tests.
In this project, we will talk to people using model ships to develop self-driving ships, to see if they would buy models build our way to focus more on creating safe self-driving technology instead of building ship models. If everyone used the same models, it would also be easier for researchers to work together.
Finding out if we can start a business is also great for our partner Springboard Atlantic, who try to help getting knowledge from universities into Canadian companies, helping the economy in Atlantic Canada.

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Faculty Supervisor:

Andrew Vardy

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Water; Artificial Intelligence; Advanced Manufacturing

University:

Memorial University of Newfoundland

Program:

Accelerate

All in for Youth Case Study: Community-Based Participatory Evaluation to Inform Evidence-Based Decision Making and Knowledge Mobilization

This project aims to provide much needed evidence to community organizations who want to use evaluation findings to better understand how to support vulnerable children and their families in schools. The All in for Youth initiative and its collaborative partners offer integrated, wraparound supports to improve academic outcomes and resiliency of vulnerable children, support family health and stability, get communities involved, and inform policy and systems change. Individual non-profit organizations do not always have the resources, expertise, time, or capacity to intentionally gather evidence to support critical reflection of their services. Balancing the needs of all organizational representatives into one evaluation will be challenging. As will efforts to mobilize evaluation evidence so diverse audiences can learn about the AIFY initiative and its work. This case study will allow the Evaluation Capacity Network research team to more closely examine how community partners, collaboratively delivering services to children and families, develop and use evidence to inform and improve organizational practices, programs, and policies, navigate systems change, establish common outcomes, and mobilize knowledge.

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Faculty Supervisor:

Rebecca Gokiert

Student:

Partner:

United Way of the Alberta Capital Region

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology; Other services (except public administration)

University:

University of Alberta

Program:

Accelerate

Modular sun-tracking floating solar power generation platform

Our solution provides modular floating solar array units that aggregate into a scalable platform with energy generation capacities between 50kWh/day (0.35MWh/week) and 0.5MWh/day(3.5MWh/week), similar and compatible with the current energy needs of small and medium-size indigenous coastal communities.

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Faculty Supervisor:

Bruce Kapron

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Business

Sector:

Green/Alternative Energy; Biotechnology; Information and Communications Technology

University:

University of Victoria

Program:

Accelerate

Remotely Operated Bio-inspired AM Underwater Robot

Canada’s international marine trade, accounting for 80% of its commerce with countries beyond North America, surged to an impressive $205 billion in 2015. In this dynamic industry, the maintenance and repair sector assume
a pivotal role in managing the life cycle costs of marine vessels, with approximately 72% of the budget allocated to its operation. The challenges faced are formidable, as unforeseen equipment failures, surface damage including
corrosion, biofouling, abrasion, and fatigue cracks due to seawater exposure, are all too common. Typically, the conventional approach entails transporting the damaged marine to a dry dock for repair, incurring substantial
expenses and logistical challenges.
To address these challenges, the possible deployment of a Metal Additive Manufacturing (MAM) equipment emerges as a transformative solution, significantly reducing the reliance on off-route docking for supply replenishment, maintenance, and overhaul. To harness this technology for underwater repair purposes, we introduce the “Remora MAM Bot”, a remotely controlled bio-inspired MAM robot. Drawing inspiration from the Remora fish, this innovative robot boasts a vacuum cap mechanism, allowing it to attach securely to various marine surfaces. By adhering to the marine vessel’s body, the Remora MAM Bot provides effortless access to damaged areas, rendering it invaluable for underwater repairs.

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Faculty Supervisor:

Mohsen Mohammadi

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Advanced Manufacturing; Technology; Artificial Intelligence

University:

University of New Brunswick

Program:

Accelerate

Development of super-macroporous chitin-based bioinks

The main aim of this project is to utilize chitin and its derivatives to fabricate super-macroporous bioinks using our mist-based printhead technology. The proposed project fosters a circular economy by expanding the bioink and bioprinting market and contributing to sustainable economic growth, while simultaneously addressing environmental challenges associated with crustacean shell waste. Additionally, it opens up new opportunities in healthcare by developing advanced and sustainable bioinks for regenerative medicine and tissue engineering applications.

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Faculty Supervisor:

Ali Ahmadi

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Technology; Ocean Tech; Health and Related Sciences & Technology

University:

École de technologie supérieure

Program:

Accelerate

Une approche collaborative de design de jeux au service de la santé, étude des effets de différents styles de jeux vidéo sur l’engagement et l’adhérence à la thérapie PEP.

La Fibrose Kystique (FK) est une maladie génétique mortelle qui touche environ 1 canadien sur
3600. L’accumulation constante de mucus dans leurs poumons bloque les voies respiratoires et doit
être expulsé de façon quotidienne, lors d’une série d’exercices thérapeutiques, afin de prévenir les
infections pulmonaires. Cependant, la coopération demandée aux enfants peut mener à des moments de confrontation et de tension avec la famille, ce qui peut avoir un impact important sur leur santé individuelle. En utilisant des jeux vidéo spécialement conçus pour ce contexte, il est possible de
motiver et engager les patients à leur thérapie, tout en maintenant sa valeur thérapeutique. Les jeux
en question seront développés en collaboration avec des étudiants de l’Université de Montréal, des spécialistes du CHU Ste-Justine et les développeurs logiciels de Affordance Studio. À terme, ce projet
devrait améliorer la qualité de vie des patients atteints de la Fibrose Kystique et réduire le fardeau de
leur famille.

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Faculty Supervisor:

Luc Courchesne

Student:

Partner:

Affordance Studio Inc;CHU Sainte-Justine

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Enhancing Energy Solutions: A Comprehensive Approach to Efficiency and Sustainability

The purpose of this project is to improve process of operational activities by creating more efficient, customer-focused, and agile technical sales team. This project aims to streamline sales processes, optimize resource allocation, and improve collaboration within the team. Moreover, this project will systematically identify, address, and optimize sales and operations process and improve overall performance of the sales department. Additionally, this project will develop a support extension strategy that will be well planned, executed effectively, and capable of delivering enhanced services to customers and meet the growing demands of its customer base. The ultimate goal is to increase sales revenue, reduce operational costs, and create a more agile and customer-centric sales operation. This project methodology will be based on both qualitative and quantitative methods.

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Faculty Supervisor:

Golam Kabir;Sharfuddin Ahmed Khan

Student:

Partner:

TROES

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Regina

Program:

Business Strategy Internship

Desjardins-Rotman : Misrepresentation in ratemaking variables

When building predictive ratemaking models in Property & Casualty insurance, the quality of the models and the adequacy of the premiums we charge to clients are dependent on the quality of the data used when building those models. In certain cases, we know that some variables have the potential of being misrepresented in our data, be it because of omissions from the clients, late reporting of new information on some variables, etc. We would like to use our partnership with the Rotman MMA program to explore ways to identify and quantify this misrepresentation and thus improve the results of our ratemaking models.

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Faculty Supervisor:

Dmitry Krass

Student:

Partner:

Desjardins Assurances Générales

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

University of Toronto

Program:

Business Strategy Internship

Développement d’un nouveau stabilisateur de sol écoresponsable formulé à partir de déchets de biomasse pour utilisation en conditions nordiques.

Un stabilisateur de sol écoresponsable destiné à l’industrie de la construction pour le renforcement de sols meubles sera développé avec cette proposition de recherche. Une personne stagiaire de premier cycle universitaire en chimie participera à la formulation de plusieurs prototypes en utilisant différentes fibres végétales, biopolymères ainsi que différentes huiles de base. Cette personne stagiaire effectuera des analyses de viscosités sur ces formulations. Cette personne travaillera aussi à l’évaluation de la consistance de deux types de sols soumis à l’ajout de ces formulations. Également, une personne stagiaire en génie participera à la réalisation de deux tests critiques de compressibilité mécanique des sols (ASTM D2166 et ISO 17892-9) afin d’identifier les meilleurs prototypes stabilisateurs de sol développés. Cette personne stagiaire en génie agira également comme aide-opérateur en usine pour les premiers essais de mise à l’échelle du prototype stabilisateur de sols optimal qui aura été développé.

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Faculty Supervisor:

Normand Voyer;François Rouillard;François Rouillard;Normand Voyer

Student:

Partner:

ABC Dust Technologies Corp.

Discipline:

Physics

Sector:

Manufacturing; Professional, scientific and technical services

University:

Cégep de Thetford; Université Laval

Program:

Accelerate

Effects of Uncertainty in Engineering Data on Design and Performance of Automotive Thermal Systems

This project will study how underbody components (tailpipe, muffler, rear fascia brackets and spare
wheel compartment) withstand thermal loads over time through the use of a heat-transfer model
(using RadTherm simulation package) of the vehicle under investigation as well as the first-order
Taylor Series expansion. The Taylor Series will be used to calculate the sensitivity of the output
(amount of radiation absorbed by each component) to the input (clearances and emissivity).
Specifically, the design objective for this research is to minimize thermal degradation of the
components over the lifetime of the vehicle. This project has the potential to improve the quality of
thermal systems on all Chrysler and Fiat vehicles by thermally protecting essential underbody
components.

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Faculty Supervisor:

Vesselin Stoilov

Student:

Partner:

FCA Canada

Discipline:

Engineering

Sector:

Automotive

University:

University of Windsor

Program:

Accelerate

Piezoelectric Energy Harvester Microsystems

The increasing occurrence of unprecedented natural disasters attributed to climate change serves as a constant reminder of the necessity to decrease reliance on fossil fuels. In order to harvest renewable energy sources as a
solution, our research proposes an innovative method of extracting maximum energy from ocean waves via piezoceramic material. In this work, the dynamics of the waves are modelled by a comprehensive data-driven
model, which characterizes small-scale mechanical motions. The approach involves using machine learning to model ocean wave characteristics such as wave amplitude, wavelength and wave period. This model can also
handle multi-dimensional and multi-variety data obtained by uncertain ocean environments. Our proposed microdevice is validated using advanced techniques, including artificial neural networks and deep learning, to
optimize its design in terms of structure and geometry sizes for efficient energy harvesting. The fabricated MEMSscale chip from the services of CMC (Canadian Microelectronics Corporation) is being measured and
characterized in our laboratory equipped with state-of-the-art analyzing instruments to confirm the supervior performance. In addition, a hybrid conditioning circuit, which can convert the generated AC voltage to a desirable
DC constant voltage output supporting the load of different environmental sensors, is actively being developed in the simulation and testing stage.

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Faculty Supervisor:

Lihong Zhang;Mohammad Al Janaideh

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Green/Alternative Energy; Energy and Utilities; Oil and Gas

University:

Memorial University of Newfoundland

Program:

Accelerate

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