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

The Development of An Enterprise Digital Twin for a Panelized Building manufacture

A DT in the manufacturing field will be used to link the physical and digital worlds, resulting in a virtual replica of a product or process that exposes real-time data and allows for the execution of advanced control schemes. The integration of both physical system and data-based approaches for the construction of the DT can offer an efficient framework across various functionalities of the physical production line. Company will use the developed DT system to connect the information flow in the manufacturing operations regarding the design, estimating, scheduling, production control, inventory management and job costing systems. The application could bring profit to a continuously improved production control and digitalization, emphasizing productivity and efficiency and its interaction with the information and data flow. This DT model, which consists of both hardware and software, can capture, process, transfer, store, and use data to assist companies in achieving their enterprise planning goals.

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Faculty Supervisor:

Xinming Li

Student:

Partner:

ACQBuilt Inc

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

University of Alberta

Program:

Accelerate

A computer vision approach for identifying missing welds on prefabricated steel elements

Traditional time-consuming and error-prone methods of quality control of prefabricated elements can be replaced with state-of-the-art approaches. For example, emerging computer vision and deep learning technologies can be employed in the processes to achieve better performance and quality. To detect defaults and missing welds on prefabricated steel products in real-time, this study enhances the performance, robustness, and extensibility of the computer vision-based method previously proposed by our research team. The design and implementation of a high-performance, accurate, and innovative solution, which corresponds to various manufacturing settings will be investigated in this study.

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Faculty Supervisor:

Ali Motamedi

Student:

Partner:

Groupe Canam

Discipline:

Engineering

Sector:

Construction and infrastructure; Manufacturing

University:

École de technologie supérieure

Program:

Accelerate

Development of Interactive, Online Quantum Computing Educational Material

In this project, the intern will work closely with the staff of Xanadu, a quantum computing company, to develop educational materials intended for an audience who are comfortable with classical computer programming, but have no prior knowledge or experience with quantum physics or quantum computers. By using interactive, web-based instructional materials, and animated graphics, it is planned to increase the students engagement and learning success. A small study will be carried out to measure the effectiveness of the new educational materials, and identify strengths and areas for improvement.

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Faculty Supervisor:

Mark Van Raamsdonk

Student:

Partner:

Xanadu

Discipline:

Computer science

Sector:

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

University:

The University of British Columbia

Program:

Accelerate

Création d’un modèle théorique du bien-être psychologique et d’un plan de développement d’un jeu sérieux (Shaman)

Ce projet de recherche repose sur la collaboration entre des chercheurs en psychologie et une entreprise spécialisée dans la création de jeux vidéo. Le but de ce partenariat est de développer un jeu sérieux (application mobile) dont l’objectif est de favoriser le bien-être psychologique et la croissance personnelle des joueurs. Plus précisément, ce jeu vidéo, nommé Shaman, proposera des activités ludiques diversifiées qui contribueront au développement de la connaissance de soi ou de la capacité d’introspection par exemple. Pour y arriver, le jeu sera aussi un moyen d’amasser des données psychométriques valides concernant certaines variables psychologiques, d’offrir une rétroaction interprétée et vulgarisée au joueur par rapport à ces variables et de proposer des activités de développement personnel efficaces et engageantes. Cette collaboration permettra d’offrir au public un jeu vidéo qui reposera sur des connaissances scientifiques et données récentes, ainsi que sur les meilleures pratiques professionnelles des domaines de la psychologie, de la psychométrie et du jeu vidéo.

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Faculty Supervisor:

Philippe Longpré

Student:

Partner:

Studio de jeux plus sauvages Inc

Discipline:

Sociology

Sector:

Information and cultural industries

University:

Université de Sherbrooke

Program:

Accelerate

Production and Characterization of Lead-203 for Radiotheranostic Molecular Imaging

With the high prevalence of cancer in the Canadian population, the need for rapid, personalized diagnostic tests is as evident as ever. Nuclear imaging allows for the visualization and diagnosis of diseases, including cancer, by detecting the emitted radiation from an administered disease-seeking molecule that has been labeled with a radioactive isotope (radiotracer). Lead-203 (203Pb) is a radioactive isotope compatible with single-photon emission computed tomography (SPECT), a proven imaging technique. Although 203Pb has been previously produced, the poor chemical purity of the isotope has hindered radiopharmaceutical advancement. This proposal aims to establish an automated manufacturing method to produce 203Pb in collaboration with our industry partner, ARTMS Inc., which will commercialize this technology to make this high-purity isotope available for use by nuclear medicine researchers and physicians on an international basis to improve cancer diagnostic techniques.

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Faculty Supervisor:

Caterina Ramogida

Student:

Partner:

ARTMS

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Simon Fraser University

Program:

Accelerate

Moderniser les pratiques d’évaluation : la technologie au service de l’interdisciplinarité et du bien-être des enfants

Le présent projet innove en développant et en implantant un système d’évaluation de la fluidité graphique. En faisant appel aux technologies de l’information et à l’intelligence artificielle, le système d’évaluation permettra la saisie, l’analyse et l’interprétation de résultats d’évaluations conduites auprès d’enfants en milieu clinique. Pour ce faire, une version exploitable du Five-Point Test (e-5PT; Strauss & Knapp, 1982) sera développée et validée auprès d’une population âgée de 8 à 11 ans. Ensuite, la complémentarité de cet outil par rapport aux mesures standards (ex. questionnaires) utilisées dans les écoles sera examinée, afin d’aider les professionnels scolaires à mieux cibler et orienter leurs interventions auprès des enfants. Le test numérique e-5PT pourra servir à implanter des services de téléneuropsychologie au Canada et permettre une évaluation à distance (Brearly et al., 2017).

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Faculty Supervisor:

Bruno Gauthier

Student:

Partner:

Fondation TALAN

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Université de Montréal

Program:

Accelerate

Going Beyond RGB-Based Machine Learning Datasets for Digital Agricultural Applications

This project represents the next innovative leap by the TerraByte research group at UWinnipeg and the Enterprise Machine Intelligence and Learning Initiative (EMILI). The focus main thrust of this work is to generate data that will enable machine learning approaches to digital agricultural applications. The data generated from this project includes multispectral, hyperspectral, and 3D data. This data is fundamental to developing machine learning algorithms that require thousands to missions of examples in order to “learn” to perform specific tasks. The main applications that will be driving the data collection in this project are identifying weeds from prairie cash crops (called plant classification), recognizing specific plant traits and characteristics (called phenotyping) and identifying sickly plants (called disease detection). The benefits of this work are immense and include bringing impactful increases in agricultural production and global food security, which is especially important in a post-pandemic era.

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Faculty Supervisor:

Christopher Bidinosti

Student:

Partner:

Enterprise Machine Intelligence and Learning Initiative

Discipline:

Computer science

Sector:

Agriculture

University:

University of Winnipeg

Program:

Accelerate

Developing metal nanoparticle surfaces and the combination of polyionic liquids with nanoparticles as antimicrobial coatings

SARS-CoV-2 has emphasized the need for antimicrobial defenses in our environment. We need to minimize the risk of microbe transfer between people via touching a common surface. This project, led by the University of Windsor and Ontario coatings companies Tessonics and ONTech Rapid Coatings, combines three different strategies to develop a persistent antiviral coating that can be applied to surfaces and that will destroy the virions on contact. It will be safe for human contact, and comfortable to the touch. It could be applied to door handles in public buildings, handles on gas pumps, keypads on payment systems, elevator buttons, electrical switches and other surfaces that are awkward to disinfect constantly and are touched by many people. This is especially useful in public shared spaces such as airports and at large utility companies.

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Faculty Supervisor:

John Trant

Student:

Partner:

Tessonics Inc;OnTech Rapid Coatings Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Windsor

Program:

Accelerate

Transfer learning in a Solar Radiation Forecasting context

This project is part of a larger effort towards the decarbonization of our energy by focussing more on renewable energy (eg. solar, wind). Hydro-Quebec is invested in this effort as it is a major provider of electricity throughout Northeastern America. Many renewable energy sources are highly variable; it is therefore important to be able to predict the behavior of these energy sources ahead of time. The goal of this project is to automate the prediction of solar radiation on the ground, which is a proxy for the amount of photovoltaic energy that can be produced. This will be done using satellite images and deep learning methods.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Hydro-Quebec (Varennes, QC)

Discipline:

Computer science

Sector:

Utilities

University:

Université de Montréal

Program:

Accelerate

UM171 expansion improves the curative attributes of bone marrow stem cell grafts

Hematopoietic stem cells (HSCs) are the parent cells that give rise to all of the different kinds of cells present in blood. Any problems or abnormalities in the different types of blood cells can lead to different type of blood related diseases corresponding to the specific type of cell. Usually, blood cancers also known as leukemias are caused because of the abnormalities. One of the methods of treatment for these leukemias is substituting the diseased cells with the healthy parent cells i.e., HSCs. This process is known as transplantation. HSCs are found majorly in the bone marrow which is the soft fatty layer between the bones. Extracting these cells from the marrow is an intensive process. Our group has previously worked on HSCs that have been grown in dishes from umbilical cord using a chemical called UM171 that has shown to be advantageous on increasing their number without affecting them. This exercise was also done successful and transplanted to patients with leukemia which shows its effectiveness. This project focuses on using a similar approach with a small number of cells taken from the bone marrow and grown in the laboratory for transplantation purposes.

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Faculty Supervisor:

Guy Sauvageau;Claude Perreault

Student:

Partner:

ExCellThera

Discipline:

Life Sciences

Sector:

Agriculture; Health and Related Sciences & Technology; Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Derisking GNSS use in the design of a train autonomy system

Thales Canada, Transportation Solutions has a long history of developing automated train systems. The company has designed a new autonomous train system that contains a Global Navigation Satellite System (GNSS), e.g., GPS, sensor input using corrected GNSS measurements. Thales and York University’s GNSS Laboratory are proposing in this Mitacs Accelerate proposal that one senior doctoral student review the GNSS component of the Thales design, conduct a trade-off study of GNSS use options to refine the requirements and performance, develop a high-level architectural design of the GNSS measurement processing function, and carry-out a safety concept study to confirm that the required safety levels can be attained. This project will then lead to a larger project to develop a prototype GNSS measurement processing function based on these design studies, and then an even larger project to more tightly-integrate the GNSS function into the overall autonomous train solution.

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Faculty Supervisor:

Sunil Bisnath

Student:

Partner:

Thales Canada Inc (North York, ON)

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Transportation and warehousing

University:

York University

Program:

Accelerate

Risk-based Winterization of Assets Operating in Harsh Environments

The proposed project is an extension of an ongoing project with American Bureau of Shipping (ABS), which aims to develop a performance-based winterization guideline for assets operating in harsh environments. The project has led to a novel approach of assessing need of winterization and evaluating extent of winterization required to maintain assets in safe operating condition. The main objective of the proposed project is to further validate the developed approach through a real-world case, i.e., winterization of a ferry operating in offshore Newfoundland and Labrador. The outcome of this project will be useful for ABS to validate and improve the developed risk-based winterization method.

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Faculty Supervisor:

Faisal Khan

Student:

Partner:

American Bureau of Shipping;Petroleum Research Newfoundland & Labrador

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

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.