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
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825
SK
8841
ON
9197
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95
PE
568
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1088
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Projects by Category

Conception et mise en oeuvre d’un profil SysMLpour le support de la méthodologie ASAP

La mise en oeuvre de l’ingénierie des systèmes dirigée par les modèles dépend largement des compétences des ingénieurs et de leur maîtrise de la méthodologie et du langage de modélisation utilisés. Ce problème est plus accentué chez les compagnies qui ont développé leur propre méthodologie et qui, toutefois, utilisent des outils standards de modélisation développés par des tiers. C’est le cas de la compagnie ALSTOM qui a mis au point une méthodologie appelée ASAP et qui utilise un outil standard supportant le langage de modélisation SysML. Dans le présent projet, nous proposons de développer des outils appropriés pour supporter les ingénieurs d’ALSTOM dans l’application de cette méthodologie. En particulier, nous proposons de concevoir et implémenter un profile SysML et des extensions de l’outil standard utilisé pour guider les ingénieurs à travers la méthodologie ASAP et les aider ainsi à développer plus rapidement des modèles corrects, cohérents et complets.

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Faculty Supervisor:

Ghizlane El Boussaidi

Student:

Partner:

Alstom Energy and Transport Canada Inc (Saint Laurent, QC)

Discipline:

Engineering

Sector:

Utilities

University:

École de technologie supérieure

Program:

Accelerate

Deep Breathe Interns Fall 21

Lung ultrasound (LUS) is a portable, non-ionizing imaging method with high accuracy for numerous respiratory conditions.1-3 These properties allow LUS – unlike other lung imaging techniques – to be delivered at scale and outside of traditional healthcare environments that may allow for broadly distributed diagnosis, triage or prognosis of respiratory conditions.4–11 As training for LUS is not widespread, it can be expected that such democratization will eventually rely on deep learning (DL), computer vision solutions to mimic real time expert oversight.
Despite the potential for DL to accelerate the scale and reach of LUS, this domain of study is complicated by a paucity of well-organized, institutional LUS datasets.
With an archive of more than 100,000 LUS clips, our group is focused on the development of computer vision models that will contribute to automated interpretation that will assist in the broadest dissemination of the tool. The current project for which we are applying, is directed at the detection of pneumothorax – a life threatening collapse of the lung – that can be readily detected or ruled out using LUS. In fact, LUS has comparable accuracy to a CT scan for this condition.

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Faculty Supervisor:

Alexander Wong

Student:

Partner:

Deep Breathe

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Business Strategy Internship

Increasing the Reliability of Design and Production of TMotion

Recent increased enthusiasm towards Computer-Integrated Manufacturing (CIM) coupled with developments in smart sensor technologies and advances in communication systems have resulted in simultaneous incorporation of several advanced monitoring and sensing technologies within manufacturing and industrial sectors. In particular, Industrial Artificial Intelligence, referred to as the IAI, is positioning itself as the transformative technology of the century addressing key analytical challenges associated with conventional industrial process control solutions in dealing with availability of high variety, high dimensionality, and high velocity data. As competition is increasing in all industries and manufacturing sectors, industrial researchers, engineers, and the production managers are aiming to develop, design, and implement innovative technologies to optimally utilize such rich high-dimensional data sources to further improve the reliability and quality of their systems, processes and products. Industrial Internet of Things (IIoT) and IAI are revolutionizing the business sector to better understand, control, and optimize the entire production process. The proposed research program is envisioned in response to the above mentioned critical and unmet need for investigation and development of advanced smart system for increasing reliability and quality by minimizing the failure risk of a motion simulator system (TMotion) developed by Touché Technologies Inc.

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Faculty Supervisor:

Farnoosh Naderkhani

Student:

Partner:

Touché Technologies

Discipline:

Engineering

Sector:

Manufacturing

University:

Concordia University

Program:

Accelerate

Mise-au-point d’une tache oculomotrice intégrée aux approches de neurophotonique chez la souris

Ce projet a pour but de développer un dispositif permettant d’entraîner les souris de laboratoire à réaliser des mouvements des yeux dans différentes directions. Ce dispositif sera combiné à l’imagerie fonctionnelle et sera utilisé pour la recherche en neuroscience afin d’explorer des pathologies telles que les accidents vasculaires cérébraux ou de développer des neuroprothèses. Ce dispositif utilisera des approches innovantes de suivi des mouvements oculaires grâce à l’intelligence artificielle. Il utilisera également des dispositifs de projection immersive sur un écran hémisphérique. Ce dispositif s’intégrera avec les autres outils du partenaire industriel, Labeotech Inc. Ceci aura pour conséquence directe d’augmenter sa visibilité sur le marché et son potentiel d’affaire.

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Faculty Supervisor:

Matthieu Vanni

Student:

Partner:

LabeoTech

Discipline:

Engineering

Sector:

Manufacturing

University:

Université de Montréal

Program:

Accelerate

Global Cybersecurity Standards Review

This research project will assess, and compare cybersecurity frameworks currently in place for critical infrastructure protection in Internet of things (IoT), Operational Technology (OT) and 5G to determine what the recommended policies are for critical infrastructure protection today for IoT, OT and 5G, and if there is already a
currently used framework that supports all best practices or are there gaps that need to be addressed. This research objective will stive to determine what the ‘gold standard’ should be for critical infrastructure protection control frameworks. We aim to create harmonization in this field with a recommended policy for all
sectors of critical infrastructure to follow and provide Government and Industry regulators the data they require to make informed decisions on regulatory requirements and standards

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Faculty Supervisor:

Natalia Stakhanova

Student:

Partner:

CyberNB CIPnet

Discipline:

Computer science

Sector:

Other services (except public administration)

University:

University of Saskatchewan

Program:

Accelerate

Imagination Audit Project

The Laboratory for Artistic Intelligence brings artists and artistic methods into parts of society where more imagination and creative approaches are needed. Chief Artistic Officer Helen Yung has a track record of introducing new ways of thinking about policy development in order to by-pass flawed assumptions and build effective solutions. During subsequent conversations with a stakeholder from the Office of the Privvy Council, the idea of The Imagination Audit emerged. It is a process by which abductive reasoning and divergent thinking—the consideration of possibilities—and the creative process are married together to generate insight and innovation within an organization or team. While the LAI has already validated the benefits of engaging in this process through pilot programs, two fundamental challenges remain. The first is to determine ideal participants for this process, and to further identify and articulate the value those participants would derive from it. The second is to continue to develop the form and deployment of the Imagination Audit to improve both access and adoption. Together, these are the “R&D” of the Laboratory for Artistic Intelligence. Expected deliverables include the articulation of a classic marketing mix—product, price, promotion and delivery model—as well as an actionable prospect list.

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Faculty Supervisor:

Sarah Wilner

Student:

Partner:

Laboratory for Artistic Intelligence

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

Wilfrid Laurier University

Program:

Business Strategy Internship

Development and Validation of Employee Pulse Surveys

Pulse surveys are effective tools to improve how organizations function by measuring the real time response of employees on a periodic basis. The current project aims to develop
a series of pulse surveys that measure the following concepts: team alignment, job satisfaction, employee engagement, and wellness. These concepts were picked because of their connection to organizational success. The results of this study will provide the partner organization, Quilt, a series of effective pulse surveys that will be integrated into their software application. Organizations can use the application to obtain a snapshot of their employees experience at work and gain insight on which areas need improvement.

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Faculty Supervisor:

Kevin Kelloway;Stephanie Gilbert

Student:

Partner:

Quilt HR

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Saint Mary's University

Program:

Accelerate

Understanding the contribution of humalite for soil health and crop production

Humalite is a naturally occurring organic substance containing high concentrations of humic acid. Humic-based substances are well known for improving the physical, chemical, and biological properties of the soil. Therefore, humalite may be a cost-effective and environmentally friendly soil amendment with a wide variety of end uses. Large deposits of humalite were found in Southern Central Alberta that may have great potential to commercialize for improving soil health and sustainable agricultural production. We partner with the Prairie Mines & Royalty ULC to evaluate potential benefits of humalite for 1) improving soil nutrient availability and plant nutrient uptake, 2) improving soil microbial population and diversity, 3) improving plant growth, yield, and nutritional quality, 4) improving symbiotic nitrogen fixation in legume crops, and 5) alleviating drought stress on crop production. We expect to develop humalite-based marketable products for the diverse agricultural industries, which are economical and environmentally friendly to the end users.

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Faculty Supervisor:

Malinda Thilakarathna

Student:

Partner:

Prairie Mines & Royalty ULC;WestMET ERS

Discipline:

Life Sciences

Sector:

Mining

University:

University of Alberta

Program:

Accelerate

Extracting information from Emails

The project will attempt to extract useful information from emails as well as attempt to classify emails as meeting intent or not. The proposed project deals with attempting to leverage current machine learning and natural language processing techniques to build a prototype that can solve the above problems. This will benefit the company by not having to use manual solutions. Currently the company uses the mechanical turk which requires actual humans extracting information from the emails. The prototype would eliminate the need for this and reduce their costs.

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Faculty Supervisor:

Osmar Zaiane

Student:

Partner:

Zenlike Inc

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Alberta

Program:

Accelerate

Practical Methods for Efficient Estimation of Effective Thermal Resistance of Exterior Walls

The proposed project is focused on developing practical methods to quickly and accurately estimate the effective thermal resistances (R-value) of different masonry wall systems. The R-values of various walls are needed by the internship partner and its member organizations for showing that their wall designs comply with the new building codes. To develop the practical methods and to deliver the currently needed R-values to the internship partner, the interns will estimate the R-values of various walls using a commercial software and measure some of the R-values using scientific apparatuses. The ultimate goal of the project is to develop innovative tools (e.g., the practical methods and its graphical user interface) and provide intuitive guidelines that are universal, easy to use, and cost-free for the internship partner and the building industry. These outputs will increase the productivity in the design phase, and thus lowering the cost of masonry wall design and enhance the business competency of the masonry industry.

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Faculty Supervisor:

Yuxiang Chen

Student:

Partner:

Alberta Masonry Council

Discipline:

Engineering

Sector:

Construction and infrastructure; Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Intégration de données numériques lifestyle pour la prédiction comportementale

Le projet de recherche consiste en une exploration des données lifestyle dans l’optique de prédire
différents comportements. Les données sur le mode de vie génèrent des informations permettant d’en
savoir plus sur les citoyens. Des liens ont notamment été établis entre la consommation de latte et le vote
libéral ou encore entre le style vestimentaire et la consommation culturelle. Par une collaboration avec
Synopsis, ces données pourront être exploitées avec des méthodes d’analyse les plus actuelles en
sciences sociales numériques. L’analyse sera effectuée en deux temps. D’abord une analyse permettant
de regrouper des réponses selon leurs caractéristiques communes sera effectuée sur des données liées
au lifestyle. La deuxième approche utilisera des données collectées par Synopsis lors d’un devis
expérimental afin de comparer l’effet des actions de politiciens sur les répondants en contrôlant avec la
segmentation identifiée en phase 1.

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Faculty Supervisor:

Yannick Dufresne

Student:

Partner:

Synopsis Marketing

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Replacing Legacy Materials of Aquatic Play Structures with Flexible, Durable and Low-Footprint Alternatives

The advancement in flexible high-performance plastics has stimulated worldwide research and development to expand the use of these materials in versatile products. In particular, their flexibility offers more comfort and ease of handling and installation, as compared to alternative hard materials. On the other hand, rising global concerns over plastic pollution, along with known chemical and additive migration from polymers, require a more holistic approach to material selection tasks towards next-generation plastic products in a way that environmental impact and end of life management factors are also taken into account. In collaboration with the Waterplay Solutions Corp., a BC-based leading manufacturer of aquatic play structures used in amusement and water parks, this project aims to systemically select and evaluate new flexible high-performance plastic material options that can replace the fibreglass composite material currently used in the aquatic play structures. The desired material solution must meet (or exceed) all in-situ functional requirements of current product (e.g. load capacity), environmental durability (UV, oxygen, water/chlorine exposure), bio-safety (ensuring limited growth of bacteria, viruses and fungi).

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Faculty Supervisor:

Abbas Sadeghzadeh Milani

Student:

Partner:

Waterplay Solutions Corp.

Discipline:

Engineering

Sector:

Manufacturing

University:

The University of British Columbia - Okanagan

Program:

Accelerate

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