Innovative Projects Realized

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

30156 Completed Projects

2861
AB
5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projects by Category

The design and fabrication of a novel pediatric bileaflet mechanical heart valve

To treat infant and toddler patients, a range of over-sized valves are currently used to replace their malfunctioning heart valves. It is well understood that larger valves are not appropriate given the smaller size of children’s hearts, leading to surgical complications and patient prosthesis mismatch. Here we proposed a unique design of our MHV that its performance would be ideal for small applications (<15mm) compared to currently available solutions.

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Faculty Supervisor:

Hadi Mohammadi

Student:

Partner:

Angeleno Medical LLC

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Automated Diagnostic System for Remote Monitoring of a Concrete Dam

Structural Health Monitoring (SHM) has tremendous potential to detect incipient structural failures in various components, e.g., onset of fatigue damage, corrosion, spalling and delamination in the structures during their service life, so that preventive actions can be employed in a timely manner. St. Clair Region Conservation Authority (SCRCA) has felt immediate need for real-time monitoring of W. Darcy McKeough Floodway, one of the flood control dams that has been subjected to fluctuating operational conditions, adverse weather and climate change over many years. The dam is consisted of an earth fill embankment, concrete control structure housing two sluice gates and a diversion channel. Real-time detailed monitoring of the embankment, sluice gates and diversion channel is of paramount importance to avoid water seepage and future flooding issues. Main objective of this project is to develop automated diagnostic system for remote inspection of the concrete dam by harnessing machine learning techniques.

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Faculty Supervisor:

Ayan Sadhu

Student:

Partner:

St. Clair Region Conservation Authority

Discipline:

Engineering

Sector:

Other services (except public administration)

University:

Western University

Program:

Accelerate

Probiotics Counteract Gut Microbial Dysbiosis and Long-Term Neural degeneration in Male and Female CD1

Women are disproportionately affected by neuro-degenerative disorders compared to men. For years, research has attempted to identify why this phenomenon occurs. The answer may be found in the gut. The intestinal tract contains millions of bacteria that are colonized from birth; These bacteria are essential for keeping the brain and immune system healthy. Changes in the proportions of bacterial species during critical periods of development can have lasting impacts on neuro-inflammation and degradation. Our research delves into understanding how the microbiome impacts the development of neuro-degenerative disorders in women, and if these impacts can be negated through alternative treatments, such as probiotics. This research will provide the medical community with proactive alternative treatments, as well as expand upon the current knowledge of the capacity of probiotics (such as Lallemand Health Solutions, Inc.’s Lacidofil and Probio’stick) to positively influence healthy aging.

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Faculty Supervisor:

Nafissa Ismail

Student:

Partner:

Lallemand Bio Ingredients

Discipline:

Sociology

Sector:

Agriculture; Manufacturing; Professional, scientific and technical services

University:

University of Ottawa

Program:

Accelerate

Teneurs en métaux dans les liquides de cigarettes électroniques et détermination de leur potentiel oxydatif

Les laboratoires Vaporus, une compagnie québécoise reconnue dans le marché des e-liquides et détentrice d’une certification ISO 9001 :2015, possède un strict contrôle de qualité sur les e-liquides qu’elle fabrique et commercialise. Cependant, la compagnie n’a aucun contrôle sur la fabrication des cigarettes électroniques qui se trouvent sur le marché et voudrait savoir si les atomiseurs de ces dernieres affectent la qualité des e-liquides. Afin de préserver la qualité de ses produits et d’évaluer les effets potentiels sur la santé des consommateurs, le projet a comme principaux objectifs: (1) évaluer les teneurs en métaux des e-liquides disponibles sur le marché québécois (2) évaluer le relargage des métaux vers les e-liquides à partir des éléments chauffants couramment utilisés dans les cigarettes électroniques (3) quantifier le stress oxydatif qui pourrait être induit par les métaux relargués dans les e-liquides, (4) analyser l’exposition aux métaux contenus dans les e-liquides par inhalation et discuter de leurs effets potentiels sur la santé et enfin (5) proposer des améliorations pour le choix des éléments chauffants de manière à réduire le relargage des métaux et les risques sur la santé des utilisateurs.

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Faculty Supervisor:

Gérald J ZAGURY

Student:

Partner:

Vaporus

Discipline:

Engineering

Sector:

Manufacturing

University:

Polytechnique Montréal

Program:

Accelerate

Arsenic release from arsenic-bearing minerals

When waste rocks generated by mining activities are exposed to the air and water, various toxic elements may be released to receiving waters and soils. Arsenic (As) is known as one of the most toxic pollutants which can cause damage to the environment and human health. To implement effective source control, it is essential to identify key factors that control the leaching process. The main objective of this research is to determine the rate-controlling steps in the release of toxic elements, with the initial focus on arsenic release. Leaching experiments will be performed to obtain the release stoichiometry.

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Faculty Supervisor:

Wenying Liu

Student:

Partner:

China Gold International Resources Corp. Ltd

Discipline:

Engineering

Sector:

Mining

University:

The University of British Columbia

Program:

Accelerate

Analytics on 5G – Topology through PM correlation

As the 5G Network will be capable of being reconfigured and optimized on-the-fly, they will also be more automated, requiring less manual effort to provision resources and make the most efficient use of bandwidth. The Ciena Analytics as a Service is a suite of tools to assist network operator in pro-active discovery on their network operations. This project will look at integrating new advanced intrepretable Artificial Intelligence and Machine Learning techniques to tackle different challenging networking tasks (e.g. traffic prediction, anomaly detection, topology discovery, etc.). All layers of the ENCQOR Network will be looked at over the 2 year program.

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Faculty Supervisor:

Nizar Bouguila

Student:

Partner:

Ciena Canada (Saint-Laurent, QC)

Discipline:

Computer science

Sector:

Information and cultural industries; Manufacturing

University:

Concordia University

Program:

Accelerate

Simulation-Enabled Intelligent Decision Support for Planning Precast Concrete Production Operations

Advances in engineering technology and requirements for sustainable development are main drivers for changes and innovations in the current construction industry. The paradigm shift to precast construction moves conventional field construction efforts into the controlled environment of an offsite manufacturing facility. These precast concrete products lend a significant advantage in execution of fast-paced construction projects, making construction schedules better organized, shorter, and less susceptible to environmental factors, while substantially reducing the number of skilled craft workers onsite and improving quality and safety performances. Despite all the advantages of offsite construction, planning and scheduling operations at precast production facilities still present distinctive challenges due to bespoke engineering design, variations in ingredient materials, concurrent execution of multiple projects, and finite limits of skilled trades and space available in a production plant. Thus, a well-formulated production plan for a precast operation plant is vital to deliver made-to-order structural components on site by respective deadlines while keeping production costs within budget limits. This research project is to adapt new planning and scheduling methodologies resulting from latest research and deliver practically feasible solutions with respect to achieving integrated project delivery in a typical precast concrete plant.

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Faculty Supervisor:

Ming Lu

Student:

Partner:

Canadian Precast/Prestressed Concrete Institute

Discipline:

Engineering

Sector:

Construction; Technology; Manufacturing and Construction

University:

University of Alberta

Program:

Accelerate

Prise en compte des savoirs autochtones dans l’aménagement durable des paysages boréaux (partie 2)

L’aménagement du territoire en zone boréale pose des défis environnementaux importants. Le maintien de la conservation d’écosystèmes sains et résilients dans un contexte d’aménagement de la forêt pour des fins commerciales requiert un effort de coordination entre les parties-prenantes de la gestion du territoire. Les compagnies forestières qui planifient l’aménagement du territoire, les communautés autochtones, dont l’approvisionnement, la culture et l’identité sont rattachés de près au territoire, et les chercheurs scientifiques qui colligent des données sur l’état des écosystèmes doivent travailler ensemble pour trouver des solutions satisfaisantes et durables à des enjeux sensibles. Le projet propose une collaboration entre les chercheurs de l’Université du Québec en Abitibi-Témiscamingue, l’entreprise RYAM Gestion forestière et la Première Nation Abitibiwinni. L’objectif est de faire un inventaire des savoirs autochtones sur le caribou forestier afin qu’ils soient mis à contribution dans son plan de gestion. Un tel partenariat est une rare occasion de collaboration entre l’industrie forestière, les communautés autochtones et l’Université. Les résultats attendus trouveront une légitimité à la fois dans les univers de l’entreprise privée, des savoirs traditionnels autochtones et de la recherche scientifique.

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Faculty Supervisor:

Hugo Asselin;Louis Imbeau

Student:

Partner:

Rayonier A.M. Canada S.E.N.C.;Conseil de la Première Nation Abitibiwinni

Discipline:

Life Sciences

Sector:

Agriculture; Manufacturing; Professional, scientific and technical services

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

Data Mining and Statistical Analysis of Hydraulic Fracture Performance in the Eagle Ford Formation

As the global supply of oil and gas from conventional reservoirs (i.e., porous rock formations) continues to diminish, it becomes increasingly important to produce these fluids from unconventional (“tight”) reservoirs. Hydraulic fracturing is generally required in order to achieve sufficient production rates from these tight reservoirs. Key questions to be addressed in hydraulic fracture design include the following: How much fluid and proppant (sand) should be injected? How many fractures should be created, and at what spacing? How is the effectiveness of the design affected by the depth, thickness, fluid pressure and temperature of the reservoir? This project will take data from over 1000 wells and use neural network (artificial intelligence) techniques to identify patterns between design parameters, reservoir properties and oil production rates. The outputs of this research will enable the partner organization (Baytex Energy) to design more effective hydraulic fracture treatments, hence increasing oil production and/or reducing well completion costs.

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Faculty Supervisor:

Christopher Hawkes

Student:

Partner:

Baytex Energy Corp

Discipline:

Engineering

Sector:

Mining

University:

University of Saskatchewan

Program:

Accelerate

Improving Resource Estimation and Reconciliation with Machine Learning

Models quantifying the grade and tonnage of mineral deposits form the basis of important and costly decisions for planning, optimization and extraction of a natural resource. Models are initially generated from sparse exploration sampling; however, information is continuously collected until resource extraction. Predicted values that reconcile well with true values following extraction instill confidence in the production forecasts. Failure to meet production forecasts can have crippling effects on cash flow and ultimately result in failure of the project.
In this research a neural-network-based prediction framework is proposed that incorporates production information to the predictive algorithm to improve forecasts of future production, thereby improving reconciliation at a mining project. The proposed method could be used to continually update resource models to improve decisions being made at all scales. This research will benefit the partner company since the incorporation of a wide array of data in manual reconciliation is complex. The proposed research will simultaneously simplify the workflow for the practitioner and improve reconciliation by improving predicted values in unmined areas. This will generate value through increased operational efficiency.

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Faculty Supervisor:

Jeff Boisvert

Student:

Partner:

Teck Resources Ltd (Calgary, AB)

Discipline:

Engineering

Sector:

Mining

University:

University of Alberta

Program:

Accelerate

The Development of Novel Third Generation (3G) Advanced High Strength Steels Steels for Tank Car Applications

Railway tank cars are constructed from TC 128 steel plates, a design that has not changed for more than 50 years. The Lac Megantic rail disaster in 2013 refocused the attention of Canadians on the safety aspects of tank car design and operation, but not so much on the actual properties of the steels used to build them. In this project, we will explore the potential of modern advanced high strength steels as a replacement for TC 128. In particular, significant improvements to the tank wall puncture resistance will be targeted. New alloys will be designed using the latest scientific knowledge. Casting and processing will be done using the state of the art pilot facilities at the CanmetMATERIALS (CMAT) laboratory in Hamilton. Analysis and testing will involve experts at CMAT and at McMaster University. Promising new alloys will be tested in computer simulated accident events by industrial partner Trinity Rail. The aim is to achieve full scale industrial trial status for the new alloys within the next 5 years, ultimately leading to a new class of better performing and safer tank car steels.

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Faculty Supervisor:

Hatem Zurob

Student:

Partner:

Trinity Rail Leasing Inc

Discipline:

Engineering

Sector:

Transportation and warehousing

University:

McMaster University

Program:

Accelerate

UTILISATION DES NOUVELLES TECHNOLOGIES D’ÉDITION DU GÉNOME ET DE SÉQUENÇAGE POUR AMÉLIORER LA SÉCURITÉ DES TRANSFUSIONS SANGUINES

Aux Etats-Unis, plus de 15 millions d’unités de sang sont transfusées chaque année à des patients atteints, entre autres, d’anémies ou de certains cancers. Bien que cette technique soit pratiquée depuis longtemps, plusieurs risques y demeurent associés. Le risque le plus important est l’incompatibilité entre le donneur et le receveur, pouvant résulter dans les cas les plus extrêmes à la mort du patient. Cette incompatibilité repose sur l’existence d’une grande diversité de groupes sanguins qui demeurent difficiles à identifier avec précision. Ainsi, l’identification précise de ces groupes demeure une problématique essentielle du domaine de la transfusion. Pour répondre à ce problème, nous souhaitons utiliser un séquenceur d’ADN nouvelle génération afin de rendre plus efficace l’identification des groupes sanguins et réduire les risques associés à l’incompatibilité. En parallèle, nous proposons d’utiliser les nouvelles technologies de modification génomique pour produire des globules rouges artificiels afin de faciliter la détection des incompatibilités.

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Faculty Supervisor:

Yannick Doyon

Student:

Partner:

Héma-Québec (Montreal)

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Biotechnology; Pharmaceuticals

University:

Université Laval

Program:

Accelerate

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