Innovative Projects Realized

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

31133 Completed Projects

2940
AB
5159
BC
837
MB
685
NL
882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
NS

Projects by Category

Two-Step super-resolution method to enhance orbital imagery of celestial bodies using ground truth from rovers and drones.

Exploration of other planetary bodies poses multiple challenges. Notably, how can we obtain the most information about a planet or a moon while avoiding risky and costly crewed or robotic missions to the surface? Satellite imagery can partly solve this problematic by providing a relatively cheap alternative to cover massive areas of a planet. Sounds great, what’s the catch? Well, these satellite images have a limited resolution and therefore, limited information can be extracted from them. That being said, recent advances in artificial intelligence could offer us a way to enhance the resolution of satellite imagery. This projects consequently aims to test various artificial intelligence algorithms to help enhance the resolution of Martian orbital imagery. In term, this method could help the Canadian Space Agency and private partners such as Mission Control Space Services select region of particular interest for further investigation.

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Faculty Supervisor:

Myriam Lemelin

Student:

Partner:

Mission Control

Discipline:

Earth science

Sector:

Manufacturing; Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Feasibility of a pressure retarded osmosis process for Quebec electricity generation

Osmotic power or salinity gradient energy is one type of the renewable energies which is produced by mixing fresh water with salt water. This new environmental friendly energy based on the advantages such as carbon dioxide free and generating power continuously seems to be a good option in which to invest as it will be highly beneficial to Quebec. This project looks to develop expertise related to osmotic power. A pressure retarded osmosis (PRO) power test unit will be designed and installed in Quebec. This will be the first osmotic power system in North America. The project will consist of evaluation and selection of sites for potential pilot testing, determination of pretreatment and cleaning requirements for the membranes, and subsequent design of the test unit. This will provide hands on experience related to the design and operation of a PRO power system in Quebec and enable the evaluation of the viability of this technology for future development for the interns.

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Faculty Supervisor:

Catherine Mulligan

Student:

Partner:

Hydro-Quebec (Shawinigan, QC);H2O Innovation;Concordia University

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

Concordia University

Program:

Accelerate

Traceability Systems of the Next Generation: Towards Transparency, Agility and Sustainability in Quebec’s Seafood Supply Chain (SSC)

This project brings together university researchers, a Collegial Center for Technology Transfer – CCTT (Merinov), two young companies working in the sector of IT management tools (EOS Nation and reelyActive) and a Non-For-Profit Organization (Cercle-i) in order to address important research and development challenges facing the Seafood Supply Chain of the Gaspésie and Magdalen Islands region. The research team will study the possibility of adopting emerging technologies (including Blockchain, Internet of Things and Analytics) to improve the traceability of seafood, thus increasing the transparency of information, supply chain security and agility. Ultimately, this project may also have a positive impact on the sound management of the natural resources of the seafood industry in Quebec. To face this complex, multidimensional and multidisciplinary issues, the objective of this project is to develop a simulation platform integrating business aspects (supply chain management and data management) and technical aspects (integration of different emerging technologies) in order to be able to assess the potential gains and risks of an innovative traceability system.

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Faculty Supervisor:

Luis Antonio de Santa-Eulalia;Elaine Mosconi

Student:

Partner:

EOS Nation;9266-5777 Québec Inc;Merinov (Gaspé, QC);Cercle-i

Discipline:

Business

Sector:

Manufacturing; Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Machine Learning Based Classification of Atomization from a Rotating Bell Nozzle

Spray painting in the automotive manufacturing industry is a tough technical challenge. Due to a poor paint job, approximately 25% of cars coming off the assembly line must be reworked or scrapped. Previous research has shown that the droplet size distribution of the paint applied to the vehicle is important for the final coating finish and colour. Paint droplets are formed in an atomization process, and changes to this process can cause considerable differences in the coating finish and quality. In this project, experiments using an automotive paint spray robot will be done to collect atomization data of the paint as it leaves the nozzle. A machine learning based model will be developed to detect when the atomization changes, which can be used to flag defects on the assembly line. This project will further validate Mazlite’s technology in optimizing the automotive paint spray process and accelerate the commercialization of its product line.

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Faculty Supervisor:

Zheng Liu

Student:

Partner:

Mazlite Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Developing a Data Science Tool for Open Government Datasets

In an effort to build public trust, the Government of Canada has made a commitment to move toward an Open Government, where government data will be easily accessible and shared broadly. For the public to benefit from Open Government sources, they will need tools that will allow them to analyze and interpret the data accurately.
Dacture is an alpha-released platform where users can find openly accessible datasets, compute statistical analyses, and build engaging visualizations without needing any expertise in coding or statistics. As a byproduct of giving people the power to conduct data science themselves accurately and reliably, we hope that our platform will contribute to the public’s statistical literacy and trust in data from government sources

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Faculty Supervisor:

Alison Chasteen

Student:

Partner:

Dacture

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Development of AI-assisted tools for enhanced clinical lymphoma PET/CT imaging

There are over 225,000 new cancer cases in Canada every year. Positron emission tomography/computed tomography (PET/CT) is the primary imaging modality for a range of cancer types. Various studies have established that determining size/volume, shape, and texture features of tumors from PET/CT images can help identify patients at high-risk of cancer relapse, or for whom standard treatments might fail. Nevertheless, the process of image-reading in clinics remains largely qualitative, since manual tumor delineation by radiologists can significantly reduce patient throughput and increase scan wait times. We aim to develop artificial intelligence based tools to assist radiologists in the detection/delineation of tumors in PET/CT images. In collaboration with Microsoft, we will help deploy such tools in the cloud, making them available to practicing physicians and researchers at BC Cancer. The expected benefits of this project include faster diagnosis, improved treatment outcomes, and reduced cancer-related healthcare costs in Canada.

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Faculty Supervisor:

Arman Rahmim

Student:

Partner:

Microsoft Canada Development Centre

Discipline:

Life Sciences

Sector:

Artificial Intelligence; Health and Related Sciences & Technology; Technology

University:

The University of British Columbia

Program:

Accelerate

Élaboration d’un protocole d’échantillonnage à long terme des bois de Laval

Les milieux naturels urbains sont d’importants acteurs à la préservation de la biodiversité en ville et à
l’augmentation de la qualité de vie des résidents. Par les nombreux services qu’ils procurent à la population, ils
contribuent à réduire de nombreux coûts du secteur publique, dont ceux des soins de santé par exemple.
Toutefois, l’environnement urbain ajoute des stress supplémentaires que subissent les milieux naturels qui s’y
trouvent et il devient alors important d’assurer un suivi de ces milieux afin d’en assurer la conservation. C’est dans
cette optique que s’inscrit ce projet visant à développer un guide de meilleures techniques d’échantillonnage des
forêts urbaines. Un protocole adapté aux contraintes budgétaires de CANOPÉE sera mis sur pied pour que
l’organisme soit en mesure d’implanter un suivi de qualité des bois sous sa gestion.

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Faculty Supervisor:

Alain Paquette

Student:

Partner:

CANOPÉE

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Université du Québec à Montréal

Program:

Accelerate

Improving the Properties of Biopolymers through Chemical Functionalization; Adding Value to an Industrial Side Product for Cascades

This project, in partnership with Cascades, will develop novel functional materials prepared from a biopolymer generated at Cascades. The development of these novel materials and composites will help to fine-tune the properties of the final paper sheet produced at Cascades and access high performance materials for many of their core business activities. The new polymer additives will also be crucial for the valorization of industrial side-products and will lead to a new generation of biopolymers for the paper industry. Overall, the proposed research will be highly beneficial to various areas of application through development of innovative advanced biomaterials and will have broad and significant impact for Cascades and the scientific community through the advancement of current knowledge. This research will significantly influence the commercial direction of the paper industry and will have an even broader impact on the general population through increased environmental consideration.

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Faculty Supervisor:

Simon Rondeau-Gagné

Student:

Partner:

Cascades Services et Achats

Discipline:

Physics

Sector:

Advanced Manufacturing; Forestry; Natural Resources

University:

University of Windsor

Program:

Accelerate

Understanding the high-temperature behavior of alloys designed for additive manufacturing

The proposed project aims to determine the mechanical behavior of new commercial iron-based alloys, M789 and Corrax stainless steels, designed for additive manufacturing. The additively manufactured steel samples, known to possess an excellent combination of tensile strength and corrosion resistance, will be supplied by voestalpine Additive Manufacturing Center. After extensive high-temperature experiments (using Gleeble and SHPB machines) to acquire data, a custom-built data analysis application (Simu-Mat 1.0) will be employed to determine the recommended empirical, semi-empirical, and machine learning constitutive models. Once the suitable models have been established, these will be incorporated in finite element analysis using ANSYS/ABAQUS to accurately simulate the alloys’ mechanical response at various temperatures and strain rates. Therefore, based on the combined experimental and simulation work, it is expected that material issues associated with in-service AM components can be avoided, additional industry applications can be identified, and the component certification process will be more achievable.

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Faculty Supervisor:

Clodualdo Aranas Jr.

Student:

Partner:

Voestalpine Additive Manufacturing Centre Ltd.

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of New Brunswick

Program:

Accelerate

Nuclear Decommissioning Management using Building Information Modeling and Augmented Reality

Integrating augmented reality (AR) technology with decommissioning workflows will open new avenues to remotely visualize and interact with Building Information Models (BIMs), enabling safe and cost-effective decommissioning processes of nuclear power plant (NPP) structures. Research is proposed here to advance new NPP decommissioning workflows through novel sensing, computing, and artificial intelligence (AI) methods within the framework of BIMs, AR, and data fusion. BIM stores digital information of the current state of assets and structures, as well as physical systems, and services such as maintenance operations and safety inspections. AR technology can overlay digital information on BIM into the physical environments. In this project, the intern will focus on enabling automated digitization of assets and the development of three-dimensional, semantically enriched BIMs and explore how engineers augment and interact with BIMs using AR to streamline and improve existing NPP decommissioning workflows.

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Faculty Supervisor:

Chul Min Yeum;Carl Haas

Student:

Partner:

MacDonald, Dettwiler and Associates Inc (Brampton, ON)

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Clinical utility evaluation of a NGS based assay for the detection of genetic modifiers in families with reduced penetrance or uncertain copy number variants

There is increasing evidence that multiple genetic variants within a patient can compound their effects, resulting in a more severe clinical phenotype in comparison with the clinical manifestations in individuals with single genetic variation. In this study, we aim to examine the clinical utility of a massively parallel sequencing technique to identify clinically relevant secondary variants in patients with neurodevelopmental disorders by examining over 700 neurodevelopment disorder-associated genes in the patient and his/her parent with the primary genetic variation.

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Faculty Supervisor:

Elizabeth McCready

Student:

Partner:

Sysmex Canada Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

McMaster University

Program:

Accelerate

Oxygen saturation targets in hospitalized children with bronchiolitis: A multi-centre cohort study

Bronchiolitis is one of the most common causes of infant hospitalization and the costs associated with it are large. Since active treatments are mostly ineffective for bronchiolitis, supportive management (including oxygen saturation monitoring) is the main focus of inpatient management. However, ideal oxygen saturation targets for
infants hospitalized with bronchiolitis have not been established. This research study will aim to compare two oxygen target saturations of 90% while awake and asleep vs. 90% while awake and 88% while asleep. These two targets will be assessed based on relevant and important clinical outcomes such as length of hospital stay. The
results of this research project are expected to directly inform clinical care by influencing management of hospitalized children with bronchiolitis, improving both the health of patients and reducing costs associated with bronchiolitis.

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Faculty Supervisor:

Jennifer Brooks

Student:

Partner:

Hospital for Sick Children

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

University of Toronto

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.