Innovative Projects Realized

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

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

Sous-réseau d’antenne pour Radar à Synthèse d’Ouverture destiné à la mesure de masse de neige

Le projet consistera à concevoir et analyser un sous-réseau d’antenne qui devra s’intégrer à une grande antenne réseau, formant le coeur d’un radar à synthèse d’ouverture (RSO). Ce RSO sera utilisé sur une satellite à basse orbite et sa mission sera d’obtenir des images de la couverture, et plus spécifiquement de la masse de neige dans les régions nordiques du Canada. Le suivi de l’évolution de la masse de neige devient nécessaire à cause du réchauffement global. L’étudiant stagiaire bénéficiera de l’expertise d’ingénieurs spécialisés en conception d’antennes de satellite de la compagnie MDA, chef de file mondial dans le domaine des charges utiles de satellites de communication et de télédétection.

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Faculty Supervisor:

Jean-Jacques Laurin

Student:

Partner:

MacDonald, Dettwiler, and Associates Ltd (Sainte-Anne-de-Bellevue, QC)

Discipline:

Engineering

Sector:

Information and cultural industries; Manufacturing; Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Accelerate

Pattern Recognition and Event Forecasting to Increase the Performance of Industrial Bioprocesses, in an Effort to Accelerate the Sustainable Development of the Transformation Industry

The first objective is to use ML to reduce the modeling error in predicting the end-of-growth of a batch, reducing the emission of CO2 and water consumption of synthesized products. The second objective is to formulate the algorithms to facilitate its integration into our analytics solution. The third objective is to validate shared learning when applied for 1) forecasting other events and 2) forecasting the same events using similar but different datasets from different users. Finally, the fourth objective is to use this algorithm as a starting point to develop a learning platform to help our customers to learn from the best practice of the industry. The success of the project will 1) enable a significant increase in the efficiency of our customers’ processes with significant environment and social impacts, 2) trigger a series of sales, 3) improve our toolset to create a better offer to our customers, 4) to set a baseline for the development of advanced AI-based tools and expertise.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

BioIntelligence Technologies inc

Discipline:

Computer science

Sector:

Manufacturing; Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Improvement of covid-19 treatment with machine learning

Currently, testing the population more at risk to be severely ill is a cumbersome process. There is a limit to the capacity and the resources of the healthcare system that show a need to be more efficient in discovering infected person. Being able to quickly detect infected person helps reduce the risk of infecting others and it is especially important in environments like nursing homes where there is a high density of person at risk. Using an earpiece that work as a connected object, it is possible to monitor some signals such as cardiac rhythm, level of CO2, and cough. Using machine learning, those data could be used to detect automatically if a person has symptoms that should be checked by a health professional. It would improve the efficiency of detecting infected persons and, therefore, help healthcare providers manage the workload caused by covid-19.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

JACOBB

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Development of Optical Clearing Materials Towards Oral Lesion Pathology Screening with Optical Coherence Tomography

The early identification of oral cancers will help to reduce serious complications and death associated with these diseases. Currently, identification of cancerous tissues relies significantly on visual identification during oral exams before more accurate further testing is performed. The use of optical coherence tomography (OCT) has allowed for more accurate initial identification of cancerous tissues, but suffers from limitations in resolution and how far into tissues can be analyzed. We propose to develop methods and techniques to allow deeper and clearer imaging into oral tissues to allow for more accurate identification of early-stage cancerous tissues. This will involve the development of materials that can be applied to the gum tissues to allow for better imaging into the tissues, as well as modifications of the OCT system and image processing techniques to improve depth and clarity of images.

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Faculty Supervisor:

Ozzy Mermut

Student:

Partner:

LiveVue Technologies

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

York University

Program:

Accelerate

Online economic tool to quantify the health benefits of municipal investments in urban greenspaces

7.2. Public Project Overview:
The project will develop an online tool to quantify the economic return on investment resulting from improvements in public health attributed to investments in urban greenspaces. The tool will focus on three pathways: improvements in physical health, improvements in mental health and health benefits associated with improved climate resiliency. The tool will provide provincial, municipal and community organizations a mechanism to support informed program, policy and planning decisions and will help users better understand and communicate the value of greenspace investments.

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Faculty Supervisor:

Jeffrey Wilson

Student:

Partner:

Green Analytics

Discipline:

Sociology

Sector:

Information and cultural industries; Professional, scientific and technical services; Wholesale trade

University:

University of Waterloo

Program:

Accelerate

Real-time quality monitoring tool development for remote laser welding ofsheet metal assemblies in automotive applications

Individual stamped sheet metal components need to be joined to create sheet metal assemblies
used in a car. Powerful laser light delivered by a robot is used to quickly weld these assemblies by
making dozens of individual welds within a few minutes. For economical production, it is essential
to minimize the total production cycle time. At the same time, high-quality welds must be
produced. Undetected defective weld joints would lead to severe penalties if delivered to the
company’s customer. Currently, all assemblies must be manually inspected. An automated realtime
laser weld monitoring system is being investigated. The system monitors the intensity of the
radiation emitted at the weld. It has been found that the system is not meeting the company’s
requirements. The proposed project intends to identify the defects that need to be detected, design
experiments where defects are reproduced artificially, and correlate these with the observations of
the monitoring system.

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Faculty Supervisor:

Gene Zak

Student:

Partner:

Van-Rob Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

Queen's University

Program:

Accelerate

Intelligent Card Detection for Automatic Documentation & e-Commerce

The goal of this project is to develop a Card Detection for Automatic Documentation solution that will be able to detect all features of a collectible card from a scanned image. Given a large number of design variations in cards, simple OCR cannot provide all available information. We aim to deliver an AI-driven solution deploying learning-based approaches and computer vision algorithms to extract all possible variations of elements found on a card. New card entries will be added to the database for online trading. Web-crawler tools will be developed to search reference information from the Internet to put a price tag on the card. This full-stack framework includes a front-end to back-end routing and task execution pipeline. We anticipate benefits to not only the collectible card online trading businesses, but also Canada technologically and economically.

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Faculty Supervisor:

Irene Cheng

Student:

Partner:

JACOBB;Kronozio

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

SOTI SNAP Digital Signage

SOTI has developed a software product called SOTI SNAP that allows anyone to create an app with no programming or technical knowledge. The goal of this project is to develop media scheduler widgets so that users can create playlists consisting of mixed media (videos, images, documents) and then deploy them at specific hours on certain days. Since one user may have multiple mobile devices and one mobile device may be controlled by multiple users, we should ensure all the devices have up-to-date media playlists, display and play back the content smoothly once the playlists are changed in one device. Additionally, all the process should not consume too much energy. The media scheduler widgets will help SOTI attract more clients and make users work more efficiently.

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Faculty Supervisor:

Yashar Ganjali

Student:

Partner:

SOTI Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Heavy Gauge Line Pipe Development with The Thermomechanical Processing Model Implementation

The project objective is to understand and apply the metallurgical fundamentals for the heavy gauge steel product development. The major tasks can be divided into two groups: (A) the precipitate investigation through conventional and advanced characterization techniques such as transmission electron microscopy (TEM) and (B) the implementation of thermomechanical processing models for the rolling schedule design, which demands rigorous validations against the rolling mill and/or product data. Our robust thermomechanical processing models will be integrated with the Integ model. A successful study of these fundamental issues will help our industrial partner (EVRAZ) understand the precipitation behavior and improve hot rolling schedule designs, facilitating the heavy gauge product development and then reducing the economic cost for oil and gas transportation, especially for regions in Northern Canada. It will also increase the international competence of EVRAZ for heavy gauge products.

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Faculty Supervisor:

Hatem Zurob

Student:

Partner:

EVRAZ North America

Discipline:

Engineering

Sector:

Manufacturing and Construction; Oil and Gas; Transportation (excluding aerospace)

University:

McMaster University

Program:

Accelerate

SOTI SNAP Widget Enhancement

SOTI has developed a software product called SOTI SNAP that allows anyone to create an app with no programming or technical knowledge. SOTI SNAP allows users to create apps by dragging and dropping widgets onto a canvas and connecting them together to create an app. The research problem to be addressed is to solve customer challenges by first understanding what the customer is asking for, then research on what is the best way to meet their needs, and finally, create brand new or enhance existing widgets so anyone can use them easily and effectively. The objective of the research is to take SOTI SNAP widgets to the next level of usefulness by creating new and updated widgets that will excite and delight SOTI’s customers without a single line of code.

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Faculty Supervisor:

Fanny Chevalier;Yashar Ganjali

Student:

Partner:

SOTI Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Optimisation de l’utilisation du glycérol chez la vache laitière; quantification des impacts et des facteurs de variation par méta-analyse

En début de lactation et pour subvenir à ses besoins énergétiques (production du colostrum et du lait pour son veau), la vache laitière a toujours et naturellement eu recours au glycérol en mobilisant ses propres réserves de gras (stocké sous forme de triglycéride). Cependant, cette mobilisation excessive et répétée (après chaque naissance) répondant à l’amélioration constante des performances laitières compromet le cycle de vie des vaches laitières. Le glycérol alimentaire permettrait de répondre à ce défi en fournissant une source d’énergie supplémentaire qui en même temps peut améliorer le statut énergétique et prévenir l’incidence de maladies métaboliques observées au début de lactation chez la vache
La méta-analyse a été choisie comme outil pour résumer et quantifier les connaissances acquises sur le glycérol dans l’alimentation des vaches laitières. Les facteurs de modulation de réponse (ex. ; forme, niveaux d’apport et mode d’apport) seront ainsi identifiés, quantifiés permettant d’établir des recommandations d’utilisation utiles pour le nutritionniste et rentables pour l’éleveur laitier.

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Faculty Supervisor:

Marie-Pierre Létourneau Montminy;Daniel E Rico

Student:

Partner:

Probiotech International Inc

Discipline:

Life Sciences

Sector:

Agriculture; Manufacturing

University:

Université Laval

Program:

Accelerate

Recommendations to combat the growing problem of antibiotic use and resistance in the province of Saskatchewan, Canada

Researchers found that inappropriate antibiotic usage is widely spread (documented in 20-50%
prescriptions in hospitals around the world). Optimizing usage of Antibiotics in clinical environment is
a critical public health issue. All stakeholders including healthcare professionals, patients, healthcare
providers, hospital administrators, and policy makers should work together to implement effective
strategies for optimizing antibiotic use. Benefits of Antimicrobial Stewardship Programs (ASP) are
well-recognized; however it is not widely adopted. Antibiotics Stewardship Programs (ASP) support
three main issues; improving cost-effectiveness, developing better clinical outcomes, and addressing
the growing bacterial resistance challenge. The objectives of my research project is to review the
literature on antibiotic stewardship, collect and analyse clinicians practices in PNHR and propose an
ASP suitable for PNHR environment. The methodology will involve approaching data sources
(pharmacies, Ministry of Health and CFIA) for available qualitative and quantitative tools to determine
the nature of antibiotics usage (type & amount) and indications in PNHR clinical, community and
veterinary settings.

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Faculty Supervisor:

John Moraros

Student:

Partner:

Prairie North Health Region

Discipline:

Life Sciences

Sector:

University:

University of Saskatchewan

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.