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

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

Développement d’un site Web persuasif dans le domaine du B2B

Les oeuvres de bienfaisance et les organismes à but non lucratif (OSBL) au Canada peuvent bénéficier d’une subvention qui leur permet d’obtenir des crédits publicitaires. Malgré que cette subvention soit très facile d’accès, le taux d’adoption des OSBL qui en bénéficient reste très faible. Cette lacune réduit malheureusement leur efficacité et les bienfaits qu’ils peuvent avoir dans la société canadienne. Le projet vise à développer un site Web qui servira à encourager et de convaincre les organismes à but non lucratif d’appliquer pour cette subvention. La recherche portera sur l’identification de la meilleure combinaison de contenu, d’expérience et de processus à inclure sur le site Web promotionnel.

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Faculty Supervisor:

Ygal Bendavid

Student:

Partner:

Charity Rocket

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

Université du Québec à Montréal

Program:

Accelerate

AltaML Strategic Business Expansion

AltaML is a purpose-driven organization, with a mission to apply AI to elevate human potential. We describe ourselves as an Applied AI Studio, meaning we operate as a venture studio for applied AI. We work with large organizations through Corporate Lab engagements, continuously examining different AI use cases and moving the most valuable models to integrated solutions. Some of these engagements also lead to deeper partnerships where we work together to commercialize products via industry-specific joint ventures. AltaML provides the resources needed to accelerate these ventures to success. To date we have launched AlphaLayer.AI for the investment management market, Sylvester.AI for the veterinary health market, and BlueMarvel.AI for the industrial operations market, with quite a few more in the pipeline. Thus we are growing not only directly as an organization, but also through our JVs.

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Faculty Supervisor:

Michael Maier;Petr Musilek;Marek Reformat;Eleni Stroulia;Randy Goebel;Qi Zhou;Martin Halek;Sebastian Jaimungal;Norah McRae;Marina Gavrilova

Student:

Partner:

AltaML

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Alberta; University of Calgary; University of Toronto; University of Waterloo

Program:

Business Strategy Internship

Dandelion Open Distributed Computing Platform Development (Software Development)

Dandelion technology solves the speed and scalability problems of current blockchain using a new physical paradigm to build the most efficient, open distributed network, with a finalization cost of $.00001 per event. The proposed project is aimed at adding smart contract and sharing functionality to the Dandelion network, improving cryptographic efficiency with aggregable signatures under the BLS signature scheme, identifying a roadmap to a Quantum Resistant aggregable signature scheme, and mathematically proving the safety and liveness properties of the extended system using TLA+ proofs. This improves the platform’s throughput and finalization speed, allows sophisticated transactions, and ensures the finished product is mathematically sound.

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Faculty Supervisor:

Ceit Butler;Albert Danison

Student:

Partner:

Dandelion Networks Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

George Brown College of Applied Arts and Technology

Program:

Accelerate

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