Innovative Projects Realized

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

31620 Completed Projects

2978
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5221
BC
856
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696
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899
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9419
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9858
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619
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1192
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Projects by Category

Antifouling Performance of Graphene-based Coatings in Varying Flow Conditions

Marine biofouling, which is the growth of organisms on ocean infrastructure, is a widespread problem with
substantial economic and environmental costs. This project undertaken by the intern will develop dynamic tests
of a novel graphene-based antifouling coating designed by Graphite Innovation & Technologies (GIT). The
dynamic tests involve generating water flow over the coating surface, better mimicking real-life conditions for the
antifouling coating. The 3rd generation GIT coating is designed to be non-toxic, durable, and slippery, making it
difficult for biofouling organisms to attach. A series of field tests will be used to help in the research and
development process, refining the antifouling and durability characteristics of the coating. These real-world tests
will benefit GIT helping to refine their technology and generating valuable information for marketing purposes.

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Faculty Supervisor:

Russell Wyeth

Student:

Partner:

GIT Coatings

Discipline:

Life Sciences

Sector:

Ocean Tech; Environmental Science and Technology; Clean Technology

University:

St. Francis Xavier University

Program:

Accelerate

Phase II of Direct[Message]: Evaluating Older Adults’ Access to Technology, Art, and Life through Enhanced Digital Technologies

The Mitacs intern will support the community-based project Direct[Message] to develop and undertake research to develop a final technology-based model that will help older adults connect with arts online. The intern will assist in the data collection and analysis of 30 older adult participants’ experiences using and testing an easy-to-use keyboard prototype and an accessible web-based platform. The intern will conduct individual interviews with approximately 10 older adults and facilitate 2 focus groups that contain a maximum of 10 older adults each. The findings gathered from this project will help shape the production of a final digital model that will be used by the artist-run art center Center[3] and the older adult population they serve.

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Faculty Supervisor:

Carla Rice;Nadine Changfoot

Student:

Partner:

Centre[3] for Artistic and Social Practice

Discipline:

Sociology

Sector:

Information and Communications Technology; Other; Technology

University:

University of Guelph

Program:

Accelerate

Tenant-based Blackbox Security Auditing in a Container-based Environment

Telecommunication networks are becoming critical in our daily lives, especially after the during Covid-19 global pandemic outbreak. To respond to such a surge in demands and satisfy new requirements of high agility, scalability, and cost-effectiveness, telecom operators have been adopting new strategies to develop and deploy mobile networks. However, this new technology also brings new security threats to its users (a.k.a. tenants). In this proposed project, the intern will develop a novel approach that enables the tenant to assess the security posture of his underlying deployment in a container-based cloud environment managed by a third-party without relying on the provider-level data. The objective of this project is to investigate and identify blackbox techniques (i.e., which do not require to access data from cloud providers) to leverage tenant-level side channel information to infer about provider-level security state about the security state and audit the underlying deployments of their 5G network services.

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Faculty Supervisor:

Lingyu Wang;Suryadipta Majumdar

Student:

Partner:

Ericsson Canada Inc (Montreal, QC)

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

Applications of Machine Learning and Data-Driven Models to Agriculture Risk Management

Each planting season, farmers are exposed to the uncertainty that their crops will yield poor results, leading to unpredictable revenue. The seasonality of their product lends itself to price volatility as a result of unpredictable factors such as weather, pests, supply and demand. In an industry where small price fluctuations can have a big impact on profitability, risk management is extremely important. As farm input costs continue to increase, farm profitability has not increased correspondingly. The objective of our research is to adapt advanced analytical methods to develop novel algorithms that generate cutting-edge price predictions for agricultural commodities. These price predictions will be used to develop hedging strategies and increase farm risk management practices. With better predictions, cheaper hedge strategies, and more timely data, farmers will have increased financial stability and the opportunity to raise profits in an industry where price fluctuations make already slim profit margins unpredictable.

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Faculty Supervisor:

Alex Melnitchouck

Student:

Partner:

Algo-Rythmn

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Olds College

Program:

Accelerate

Canadian Communities Policy Observatory

Unlike the United Sates or the UK, Canada is a laggard in opening up historical socioeconomic data for use by academics, policymakers, business, journalists, and citizens. While a great deal of data exists either due to being “born digital” or having been digitized from paper records, it is not easily accessible. Partial datasets in a variety of formats are hosted in multiple locations and vary widely in how they are structured. Western University’s Canadian Communities Policy Observatory initiative has begun to address this important gap by processing all available historical aggregate Census data back to 1851 into a common format with harmonized variable names and geographic codes. The purpose of this project is to develop a scalable database across places and years, programming the linking of tools as well as a web portal for cartographic visualization over time.

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Faculty Supervisor:

Zachary Taylor

Student:

Partner:

Esri Canada Ltd

Discipline:

Sociology

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

The University of Western Ontario

Program:

Accelerate

Scaling of IoT Simulation for Verification and Testing

Simulation is a critically important enabler for the scalable verification and testing of Internet-of-Things (IoT) systems. There has been considerable research in recent years on developing IoT simulators. The existing research nevertheless does not adequately address the optimization of simulators for the competing objectives that one typically has to contend with, e.g., in terms of costs and resources. This project aims to develop a versatile and effective simulation environment to help detect and localize faults in large-scale IoT systems that are otherwise extremely difficult to understand, analyze, test and debug. Our approach will employ metaheuristic search for optimizing IoT-simulation configurations alongside techniques for generating high-quality synthetic data to feed the simulation process. To evaluate the practical usefulness of the resulting simulation environment, we will conduct case studies over real IoT applications in collaboration with our industry partner, Cheetah Networks.

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Faculty Supervisor:

Shiva Nejati;Mehrdad Sabetzadeh

Student:

Partner:

Cheetah Networks

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Ottawa

Program:

Accelerate

Modelling mineral dust aerosol transport at high-latitudes from Canadian proglacial valleys

Across most of the Canadian Cordillera glacier loss will be fully realized before the end of the century, threatening water security and exposing extensive deposits of fine glacial sediment to wind erosion. These dust storms act as important nutrient transfers to terrestrial and aquatic ecosystems, but pose risks to human health and dust deposits strongly influence the radiative properties of snow and ice surfaces, with far-reaching climate implications. Dust emissions from these locations are either omitted or poorly represented within most current atmospheric models. This project will develop an improved regional transport model capable of well simulating these emissions, enhancing our capacity to model future landscape changes across northern Canada while identifying future sources and predicting their subsequent impacts as sediment is transported and deposited. Previously performed field campaigns have established a multi-year time series of dust observations and meteorological measurements which will be used to verify model capability for multiple proglacial sources.

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Faculty Supervisor:

James King;Daniel Nadeau

Student:

Partner:

Karlsruher Institut für Technologie

Discipline:

Physics

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Development of tests to assess GDL stability during MEA production

Mercedes-Benz Canada Inc. is engaged in producing fuel cell stacks for automotive applications. The plant in Burnaby BC is the exclusive fuel cell manufacturer for Mercedes-Benz worldwide (marking the world’s first large-scale production facility for automotive fuel cells.) The Mercedes-Benz Fuel Cell Division (MBFC) has shown interest in active collaborations with Canadian universities and research institutes to advance manufacturing processes and engage leading Canadian scientists. In early 2013, an NSERC Engage grant enabled the first collaboration between MBFC and Dr. Merida’s group at the University of British Columbia (UBC). The present proposal builds on the results activities within the Engage project, and it represents the first step in a long-term collaboration. Among several manufacturing steps, the unwinding of as-supplied MEA materials is considered one of the most critical steps in the fuel cell production. The number of stages in which the GDL material is exposed to mechanical stress adds to the complexity of deterministic analyses. Consequently, the impact of this process on the physicochemical properties and performance of the GDL materials remains unknown, and it requires new characterization strategies. B

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Faculty Supervisor:

Walter Merida

Student:

Partner:

Mercedes-Benz Fuel Cell

Discipline:

Engineering

Sector:

Manufacturing; Retail trade

University:

The University of British Columbia

Program:

Elevate

Apport de l’ergonomie à la prévention des cancers professionnels dès la formation (CAP)

Le cancer professionnel, une cause de mortalité fréquente en France et au Canada, atteint de façon préférentielle certaines catégories d’emploi, pour lesquelles ce sujet doit être abordé dès la formation. Les apprentis sont particulièrement exposés aux agents cancérogènes et leur âge implique une exposition prolongée: 25% d’entre eux sont en contact régulier avec au moins un agent. Les mesures préventives précoces sont importantes, mais elles sont difficiles à implanter, car le concept de la maladie est lointain, et que le message rejoint difficilement ces jeunes souvent issus de milieux défavorisés. C’est pourquoi un projet d’envergure a entrepris une recherche-intervention pour développer une méthode de prévention axée sur la pair-aidance. Celle-ci mobilise les élèves, les enseignant.es et les maitres de métiers. Le stage de recherche visera à documenter le travail des enseignant.es supervisant des stages afin de trouver des façons d’intégrer les mesures préventives développées à leurs approches pédagogiques. Pour ce faire, des méthodes et outils issus de l’ergonomie seront mobilisés.

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Faculty Supervisor:

Marie Laberge

Student:

Partner:

Université de Paris

Discipline:

Life Sciences

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Système de reconstruction 3D de modèles de villes virtuelles et segmentation sémantique pour l’extraction d’informations géospatiales

Le projet proposé vise à améliorer la reconstruction 3D des villes à partir des photographies aériennes et des données lidar, et plus particulièrement en combinant ces sources d’information. Des algorithmes d’intelligence artificielle, et plus particulièrement les réseaux de neurones convolutifs, seront utilisés pour améliorer la densité des nuages de points lidar pour la reconstruction 3D, et ils seront utilisés pour automatiser la segmentation sémantique 3D d’objets géospatiaux. Le produit final proposera des modèles 3D de villes virtuelles avec une qualité inégalée en réduisant les artefacts habituels (déformations de structures géométriques, pertes de qualité dans les zones ombragées, etc.), ainsi que des outils d’extraction et d’analyse d’objets 3D pour la compagnie Xeos Imagerie.

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Faculty Supervisor:

Mickaël Germain;Yacine Bouroubi

Student:

Partner:

XEOS Imagerie

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Biophysical Characterization of Novel PARP Inhibitors

PARP inhibitors are an FDA-approved treatment for breast, ovarian and prostate cancers. This project
aims to develop 3 new classes of PARP inhibitors, 2 of which can target multiple pathways with a single
drug, helping to prevent resistance to the PARP inhibitors and enabling the combination of 2 drug
treatments without the added side effects that a sequential treatment would have. The other class of
PARP inhibitor can cross the blood-brain barrier, providing another treatment option for brain tumours.
Successful development of the 3 inhibitors will result in increased research and development
expenditures, and increased yearly revenue for Rakovina Therapeutics.

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Faculty Supervisor:

Nada Lallous

Student:

Partner:

Rakovina Therapeutics Inc.

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Processus automatiques de contrôle de soi et motivation autonome

Pourquoi parvenons-nous à atteindre certains buts sans même avoir le sentiment de faire des efforts pour résister aux tentations dans notre environnement ? Ce projet de recherche vise à examiner l’association entre la motivation autonome (i.e., réaliser un comportement pour le plaisir ou l’importance) et le conflit motivationnel entre l’intention d’être actif physiquement et les tentations sédentaires. Nous prédisons que les individus avec une forte motivation autonome à l’égard de l’activité physique présentent des stratégies automatiques de contrôle de soi, leur permettant de résoudre des situations de conflit motivationnel sans réaliser d’efforts. L’étude vise à tester, de manière expérimentale (i.e., amorçage motivationnel), l’association entre la motivation autonome et une stratégie automatique de contrôle de soi (i.e., activation du but par une tentation), mesurée lors d’une tâche de temps de réaction. Ce projet ouvre à des perspectives novatrices pour promouvoir l’adoption de comportements de santé bénéfiques au bien-être mental des individus.

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Faculty Supervisor:

Luc Pelletier

Student:

Partner:

Université Grenoble Alpes

Discipline:

Sociology

Sector:

Education

University:

University of Ottawa

Program:

Globalink Research Award