Innovative Projects Realized

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

29670 Completed Projects

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801
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663
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825
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8841
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9197
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95
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568
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1088
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Projects by Category

Development of nano-colloid with gold nanoparticles to detect Legionella pneumophila using the principle of localized surface plasmon resonance

Legionnaires is a disease caused by the bacteria Legionella pneumophilia present mostly in aquatic environments. The first outbreak of this disease was recognized in 1976 in Philadelphia and the most recent one in July 2019 in Atlanta. Diagnosis of the disease isn’t early and thus need to be prevented by regular treatment. Treatment of water needs information about the water quality which needs on-site based sensors to detect the different pathogens present. At present, there is no viable solution to detect Legionella on site with confidence. This project focusses on developing hand-held optical sensors for rapid detection of Legionella. The completion of this project will address a real world problem and will allow the industry partner to create solutions for liquid borne bacteria. Municipalities, cooling towers, water treatment facilities, business users will be able to use this to assess water quality and make appropriate treatment procedures to avoid any outbreak.

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Faculty Supervisor:

Ishwar Puri;Igor Zhitomirsky;Fei Geng

Student:

Partner:

Genemis Laboratories

Discipline:

Engineering

Sector:

Manufacturing

University:

McMaster University

Program:

Accelerate

NOVEL IONIC LIQUIDS FOR HEAVY OIL ENHANCED RECOVERY

The use of ionic liquids (ILs) in enhanced oil recovery is considered a new and promising technology as it has never been tested in any pilot plant or reservoir field. ILs are very similar to surfactants as they help reduce the interfacial tension, change the wettability of the reservoir, and some have strong viscous effect, all essential factors in recovering more heavy oil. The technology can also be used for medium and light oil recoveries with other kinds of ionic liquids. After an initial screening, the best ionic liquid will be used in a chemical enhanced oil recovery application where an alkali and a polymer are added to increase the recovery factor. ILs have the potential to be the most promising Chemical enhanced oil recovery (EOR) technology in the history of heavy oil production. The economic benefits to Saskatchewan and Canada could be extraordinary.

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Faculty Supervisor:

Amr Henni

Student:

Partner:

Petroleum Technology Research Centre

Discipline:

Engineering

Sector:

Mining; Professional, scientific and technical services

University:

University of Regina

Program:

Accelerate

Designing for AI/ML Human Interactions in Industrial Condition Monitoring

One challenge to industry adoption of products and services based on Machine Learning and Artificial Intelligence is that their inner workings are often not discernable to human operators. When operators can’t reason about theit tools they tend to make poor decisions about how and when to rely on them. This ultimately limkitsthe effectiveness and efficiency of these technologies in industrial applications. The objective of the proposed internship projects is to develop evidence-based design recommendations to make automated decision aids more transparent to operators, with the ultimate goal of promoting adoption of, reliance on, and effective interaction with these tools. We will explore the effects of a variety of manipulations to the work context and information provided to operators. Each of these projects is paired with an intern with prior academic and/or professional experience in AI/ML technologies. Their proposed MITACS Accelerate internships present an excellent opportunity to develop both their technical skills and their appreciation for the promises for, and challenges facing, AI/ML-based aids in industry.

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Faculty Supervisor:

Greg Jamieson;Ray Gosine

Student:

Partner:

Ericsson Canada Inc (Quebec)

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Contrôle des contaminants biologiques dans des cultures de microalgues

Le laboratoire Fesko cultive des microalgues afin de produire des molécules isotopiques pour le marché pharmaceutique. Une problématique de contamination biologique des cultures est apparue dans les dernières années et Fesko recherche des solutions afin de la contrôler et maintenir la productivité des microalgues. Deux méthodes seront étudiées pour identifier l’ensemble des microorganismes indésirables et en faire le suivi. Parallèlement, l’entreprise cherche à valoriser les surnageants récupérés suivant la séparation liquide-solide de bouillon de la culture. Une caractérisation préliminaire des surnageants sera effectuée afin d’identifier des molécules d’intérêt excrétées par les microalgues et pouvant être vendues par l’entreprise.

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Faculty Supervisor:

Tagnon Missihoun;Simon Barnabé

Student:

Partner:

FESKO CONSULTANTS;Innofibre

Discipline:

Life Sciences

Sector:

Agriculture

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Modelling spatial variability of rock mass structural heterogeneity for pit slope stability analysis using a large-scale discrete fracture network (DFN) model

Improving the design and operation of open pit mines by better understanding and modeling of spatial variation of rock mass properties, can bring economic benefits to the mining industry. The proposed research project aims to develop an innovative large-scale discrete fracture network (DFN) model that is spatially constrained based on the recorded fracture data from geotechnical boreholes and photogrammetric mapping of bench face exposures in an open pit mine in Western Africa. The model allows 3D description of the natural fracture geometries and their spatial variation in different areas of the pit. The developed DFN model will be used for kinematic slope stability analysis of the pit slopes in bench and inter-ramp scales. The modeling results will be compared with the pit wall monitoring d

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Faculty Supervisor:

Kamran Esmaeili

Student:

Partner:

Kinross Gold

Discipline:

Earth science

Sector:

Mining

University:

University of Toronto

Program:

Accelerate

Modeling the effects of probiotics in Parkinson’s disease through human stem cell derived midbrain organoids

New studies have implicated the gut as the staging area for the start of Parkinson’s disease. Disruptions in the gut biota can promote the formation of toxic protein seeds that can move from the gut into the brain, spreading through the brain and causing progressive loss of neurons and problems with movement. It still needs to be proven if probiotics can help treat disease. We propose to examine this idea by testing how probiotics influence the function of neurons and other brain cells. Moreover, we will do so in 3D minibrain structures, a complex mix of neurons and support cells that is as close to a brain in a dish model as can be grown with current technology. In this study, we will study how the cells in the minibrain structures respond to probiotics and use this as a foundation to understand the gut-brain axis in Parkinson’s disease.

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Faculty Supervisor:

Thomas Durcan

Student:

Partner:

Lallemand Bio Ingredients

Discipline:

Life Sciences

Sector:

Agriculture; Manufacturing; Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Development and integration of feature detection algorithms for metal-based direct deposition processes

Metal-based direct energy deposition processes, such as robotic welding and laser powder fed additive manufacturing, ideally require feedback sensing of the deposition quality using vision detectors. Image processing algorithms are challenging to develop due to changing process operating conditions. Despite challenges, implementing in-process image processing algorithms is beneficial for traceability and quality assurance, for calibrating process models, and for developing closed loop control algorithms which are able to maintain deposition quality within acceptable quality margins. The objective of this research is to develop and integrate feature detection algorithms which are adaptive to the changing operating conditions typically present in metal-based direct energy deposition processes. Such algorithms are directly applicable to low-cost and industrially relevant high dynamic vision detectors. The outcomes will apply directly to future in-process vision-based sensing of features such as, but not limited to, process signatures (melt-pool size and shape, plasma plume characteristics, intensity map, particle ejections) and/or deposition qualities (geometry, continuity).

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Faculty Supervisor:

Mihaela Luminita Vlasea

Student:

Partner:

Xiris

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate

Analyse dynamique de bâtiments industriels supportant des équipements vibratoires attachés avec des supports flexibles

Ce projet de recherche a pour objectif principal d’optimiser l’évaluation des limites de vibration dans les bâtiments industriels supportant un tamis vibrant attaché à la structure avec des supports flexibles.
Afin d’obtenir les résultats réalistes d’une analyse de structure supportant des tamis, les ingénieurs dans la pratique sont souvent confrontés à la modélisation complexe de celle-ci. La difficulté de l’analyse repose sur le choix du modèle numérique et dans l’application des charges dynamiques fournies par le fabricant de ces équipements.
La méthodologie proposée dans ce projet de recherche consiste à évaluer la fiabilité du modèle d’analyse dynamique à utiliser pour obtenir les vibrations qui seront comparées aux limites de vibration à respecter dans les critères de conception.
Ce projet de recherche permettra ainsi d’augmenter le niveau d’exactitude de la formulation des hypothèses de conception de structures soumises à des charges dynamiques et d’accélérer le temps requis par les ingénieurs en pratique pour faire une analyse dynamique.

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Faculty Supervisor:

Rola Assi

Student:

Partner:

BBA Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

XFEM-based fatigue crack growth simulation and surrogate model development for probabilistic remaining fatigue life prediction of pipelines

Pipelines have significantly contributed to the Canadian energy industry and overall economy. Specifically, nearly 60% of energy consumed in Canada comprises of oil and gas delivered through pipelines. However, in pipeline steel, many failures were caused by cracks during pipeline operation. The proposed research project aims at developing a reliable and effective tool to predict fatigue crack growth under cyclic fatigue loading. Specifically, this project will explore the use of the newly developed extended finite element method (XFEM) for fatigue crack growth modeling in conjunction with well-established fatigue crack growth laws. The XFEM models will be validated and further used to develop efficient data-driven models. The surrogate models will eventually be used with the data from real-world pipelines, including SCADA (supervisory control and data acquisition) data and ILI (in-line inspection) data to predict the remaining fatigue life of pipelines.

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Faculty Supervisor:

Yong Li;Samer Adeeb

Student:

Partner:

C-FER Technologies

Discipline:

Engineering

Sector:

Mining; Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Impact de l’utilisation d’un modèle périodique autorégressif et à moyenne mobile dans la gestion moyen-terme de la production hydroélectrique

Pour planifier à moyen-terme un système hydroélectrique, il est nécessaire de déterminer une politique de gestion de ses réservoirs, c’est-à-dire la quantité d’eau à utiliser à chaque semaine pour répondre à une demande électrique ou d’autres contraintes. Cette politique de gestion couvre un horizon allant jusqu’à 2 ans et doivent tenir compte de la principale source d’incertitude : le volume d’eau reçu par le système dans le futur. En utilisant des modèles hydrologiques et statistiques plus complexes, on peut représenter plus fidèlement les caractéristiques de la distribution de ce volume d’eau. Nous nous proposons de développer une méthode de calcul d’une politique basée sur l’utilisation d’un modèle multiplicatif autorégressif et à moyenne mobile et d’en tester l’efficacité dans un contexte de gestion normale, puis d’intégration des énergies renouvelables variables à Hydro-Québec Production.

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Faculty Supervisor:

Michel Gendreau

Student:

Partner:

Hydro-Québec Production

Discipline:

Mathematics

Sector:

Utilities

University:

Polytechnique Montréal

Program:

Accelerate

Ovarian Cancer Research Program

Ovarian cancer has a high mortality rate and cannot be detected by screening. Strategies to decrease the burden of OC in Canada will need to improve the delivery of effective prevention, particularly risk-reducing surgery. This initiative is designed to execute three projects that focus on possible strategies to improve the effective delivery of evidence-based OC prevention for women in NL.

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Faculty Supervisor:

Lesa Dawson;Brenda Wilson;Kathleen Hodgkinson;Holly Etchegary

Student:

Partner:

Belles with Balls

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

A Holistic Analysis of the Role of Canada in the EU’s Socialized Constitutionalization of the WTO

Canada and the EU are traditional allies in promoting the UN’s sustainable development goals (SDGs). As many scholars note, the WTO is an indispensable forum for realizing these laudable goals, for instance, the goal 13 fighting against climate change, for the WTO is nearly the only international organisation that has ability to enforce the implementation of these 17 SDGs, relying on its sound dispute settlement body and considerable economic interest associated with itself. Nevertheless, the WTO is used to give priority to economic issues rather than environmental issues and human rights-based issues over decades. From a European perspective, the means that is able to change the current WTO into a sustainable trade organisation is socialised constitutionalization of the WTO. Despite a similar constitutional tradition as that of the EU, is Canada going to support the EU’s proposal due to its national interest? If so, how, and to what extent, Canada can play a role in the socialised constitutionalization of the WTO?

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Faculty Supervisor:

Jie Jiao

Student:

Partner:

Université de Lausanne

Discipline:

Sociology

Sector:

Commercial Services; Public Service, Policy, and Governance; Sustainability & the Environment

University:

Université de Montréal

Program:

Globalink Research Award

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