Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

30156 projets achevés

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842
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Projets par catégorie

Developing a mobile screening tool that could predict impairment by leveraging the power of machine learning models

There is a growing need for law enforcement agencies and safety sensitive workplace environments to be able to evaluate impairment. Impairment due to mental cognitive deficits, drugs or alcohol use, prescription medications, or fatigue could all limit a person’s ability to perform a hazardous task safely.
Current testing tools utilize saliva, breath, blood or urine to measure levels of substances that may impair a person’s judgement. These types of tests are invasive, and in many cases not reliable. Ingested cannabis for example does not have the same effect as smoked cannabis, and current testing techniques are not adapted for both.
To date, 126,000 real-world assessments have been performed by DriveABLE on legacy proprietary testing hardware. Machine learning is being applied to the results of the assessments to gain a deeper understanding of cognition in the context of complex human behavior. A screening tool will be developed and tested, leveraging mobile platforms such as tablets and phones, making it accessible where it is needed most. A core component to meeting this objective will be leveraging the skills of mobile game developers to help with the development of 4 proprietary cognitive tasks based on existing real-world assessments.

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Superviseur du corps professoral :

Steve Chattargoon

Étudiant :

Partenaire :

DriveABLE Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Northern Alberta Institute of Technology

Programme :

Accelerate

Biogeocemenation of a Coal Mine Tailings Pond

A decommissioned mine facility in Canada is looking for a new and innovative way to handle mine waste and reclaim the mine site. The potential solution to this problem is the use of microorganisms which are capable of producing calcite, or cement, as part of their natural biological process. These microorganisms will be combined with the mine tailings in test cells in the lab to produce a cement, which will then be tested for milestones like strength and moisture content. BGC Engineering Inc. is involved in this project and will provide access to their geotechnical testing facilities and assist in establishing meaningful protocols for sample collection and testing for the pilot scale experiments which can then be used in larger scales in mines across Canada.

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Superviseur du corps professoral :

Pascale Champagne

Étudiant :

Partenaire :

BGC Engineering Inc (NB)

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Queen's University

Programme :

Accelerate

Printing of Collagen microgels

Developing technology capable of onsite medical diagnostics is crucial for health-care delivery in clinical and emergency settings. To perform on-site diagnostics, health-care practitioners need compact, inexpensive, and user-friendly equipment. Alentic Microscience has developed a system that uses small volumes of blood for cell counting and serum tests, occurring at the site of blood extraction. This system makes single molecular layers of reagents on the sensor surface, which when exposed to light allow the system to provide valuable diagnostics about the sample. The proposed project will increase the system’s range, by moving from the single monolayers to 3D gels. By using 3D gels, the increased volume will allow the addition of multiple molecular tags to the sample that can identify and quantify multiple components simultaneously. This work will increase the dynamic range of the current technology, allowing it to be useful for biological diagnostics in even more situations.

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Superviseur du corps professoral :

Laurent Kreplak

Étudiant :

Partenaire :

Alentic Microscience Inc

Discipline :

Physics

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Dalhousie University

Programme :

Accelerate

A scalable FMI-compatible cosimulation platform for distribution grid cybersecurity studies using data analytics

The objective of this project is to develop and customize a cosimulation platform capable of integrating multi-formalism simulators for SG cybersecurity analysis. This enables one to provide a cosimulation platform which is characterized by scalability (no limitation in terms of nodes/buses of communication/power systems), compatibility with the Functional Mock-up Interface (FMI) standard and capability of synchronized integration of any two abstract simulators (NS-3, OMNeT++ for communication network and EMTP, MATLAB/Simulink for power system). Such cosimulation platform would be employed to visualize the impact of cyberattacks on the distribution grid, to generate the relevant data that can be processed using advanced analytical tools to design efficient defense. Those defense techniques consist of intrusion detection and attack mitigation. Moreover, the cosimulation platform would be used to validate the efficiency of the obtained mitigation solutions. This project will provide Hydro-Québec with an advanced cybersecurity testbed for the assessment of countermeasures and security solutions of its electrical power network.

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Superviseur du corps professoral :

Keyhan Sheshyekani

Étudiant :

Partenaire :

Institut de Recherche Hydro-Québec

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Utilities

Université :

Polytechnique Montréal

Programme :

Accelerate

Modeling and Validation of the Oil Control Ring Performance for a Orbiting Face-Sealing

The Wankel rotary engine has long been seen as a good engine for aeronautical application, but sealing problems is still a challenge that limits its utilisation. Minimizing oil consumption in rotary engine is essential to limit hydrocarbon emissions and minimize overall mass of the engine. Internal oil leaks from the crankcase to the combustion chamber represent about half the oil consumptions in rotary engines and thus represent the low hanging fruit to minimize oil consumptions. This project aims at improving oil sealing of the rotary engine to enable its use in aircraft applications. The project consists of developing a model to predict how oil is transported in the engine, reproduce model condition in a test bench, and finally be able to develop better sealing solution with the help of the developed model and test rig.

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Superviseur du corps professoral :

Mathieu Picard

Étudiant :

Partenaire :

Pratt & Whitney

Discipline :

Engineering

Secteur :

Aerospace; Clean Technology; Energy and Utilities

Université :

Université de Sherbrooke

Programme :

Accelerate

Scaffolding immersive, non-fiction storytelling collaboration: experiments in live journalism

How do you build trust with an audience expecting a factual, reported story while adding elements of performance to it? This research project explores the potential of the live stage for non-fiction narrative. By experimenting with different models of audience-focused experiences, it aims to answer questions like: How can live journalism rebuild trust between the practitioners of journalism and the public (audience)?; How does one maintain the authenticity of the experience beyond the intimate performance spaces; how does one scale; and How can space be used more democratically in the staging of the show?”

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Superviseur du corps professoral :

Sonya Fatah;Louis-Etienne Dubois

Étudiant :

Partenaire :

Cirque du Soleil Entertainment Group

Discipline :

Sociology

Secteur :

Arts, entertainment and recreation

Université :

Toronto Metropolitan University

Programme :

Accelerate

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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Superviseur du corps professoral :

Ishwar Puri;Igor Zhitomirsky;Fei Geng

Étudiant :

Partenaire :

Genemis Laboratories

Discipline :

Engineering

Secteur :

Manufacturing

Université :

McMaster University

Programme :

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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Superviseur du corps professoral :

Amr Henni

Étudiant :

Partenaire :

Petroleum Technology Research Centre

Discipline :

Engineering

Secteur :

Mining; Professional, scientific and technical services

Université :

University of Regina

Programme :

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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Superviseur du corps professoral :

Greg Jamieson;Ray Gosine

Étudiant :

Partenaire :

Ericsson Canada Inc (Quebec)

Discipline :

Engineering

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Toronto

Programme :

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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Superviseur du corps professoral :

Tagnon Missihoun;Simon Barnabé

Étudiant :

Partenaire :

FESKO CONSULTANTS;Innofibre

Discipline :

Life Sciences

Secteur :

Agriculture

Université :

Université du Québec à Trois-Rivières

Programme :

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

Voir la description complète du projet
Superviseur du corps professoral :

Kamran Esmaeili

Étudiant :

Partenaire :

Kinross Gold

Discipline :

Earth science

Secteur :

Mining

Université :

University of Toronto

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Thomas Durcan

Étudiant :

Partenaire :

Lallemand Bio Ingredients

Discipline :

Life Sciences

Secteur :

Agriculture; Manufacturing; Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate

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