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
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Simulating the Compounding Effect of Freeze-Thaw Cycles on the Durability and Seismic Performance of Masonry Buildings

The frost deterioration caused by freeze-thaw cycles (FTC) is of great concern in masonry buildings due to its detrimental effect on durability and long-term seismic performance. Recent findings reveal a substantial reduction in mechanical properties of masonry (e.g., compressive strength) when exposed to
FTC. This material damage weakens the seismic capacity of masonry walls, increasing the vulnerability of existing masonry buildings and cultural heritage. Therefore, the proposed research program aims to simulate the seismic behavior of masonry buildings considering the deterioration and aging caused by
FTC using a novel computational approach based on the finite-discrete element method (FDEM). The outcomes of this project will fill the knowledge gap in the literature regarding the influence of frost deterioration on seismic structural performance and capacity. Furthermore, better preservation plans will
be implemented for existing buildings susceptible to changing climate conditions and seismic actions.

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Faculty Supervisor:

Bora Pulatsu

Student:

Partner:

Geomechanica Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

System-level Transmission Capability Optimization

The power system transfers power from electricity producers to consumers in real time. The demand, generation, and system characteristics dictate how power flows across different transmission lines. Sometimes, the power flow can exceed the capacity of the transmission lines. This would be especially true if a new generator connects at a location within insufficient transmission capacity. This project will innovate a method to determine both the optimal size and optimal location of generators across a region of the transmission system such that the power flows do not exceed the capacity of any transmission line. This information would be used to help plan and optimize the use of the transmission system equipment.

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Faculty Supervisor:

Yuriy Zinchenko

Student:

Partner:

Alberta Electric System Operator

Discipline:

Mathematics

Sector:

Utilities

University:

University of Calgary

Program:

Accelerate

Thin Film Thermal Conductivity Sensor

Advancement of a thin film sensors for the characterization of heat transfer of solids, liquids, powders and pastes. Thin film deposition technologies to be applied.

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Faculty Supervisor:

Pandurang Ashrit

Student:

Partner:

Discipline:

Physics

Sector:

Manufacturing

University:

Université de Moncton

Program:

Accelerate

Kiln Drying Optimization of Subalpine Fir and Yellow Spruce

For decades, drying sub-alpine fir and yellow spruce is known as an unmanageable task mainly due to the high moisture variation and the presence of wet-wood that result in a broad spread of moisture in kiln-dried timbers. For this reason, a considerable portion of under-dried and over-dried wood can be observed in kiln-dried subalpine fir and yellow spruce. In this research, I will examine whether the final moisture variation could be alleviated by optimizing sorting methods and drying schedules. I will explore the combination of different kiln drying methods and timber sorting strategies to find out the optimum approach for drying hard-to-dry species. The outcome of the proposed research can contribute to improving drying rate, minimizing drying defects, and reducing energy consumption in sawmills. The wood drying section of FPInnovations has collaborated with sawmills to solve drying problems and, therefore, this project is expected to improve the collaboration between FPInnovations and Canadian wood manufacturing companies.

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Faculty Supervisor:

Stavros Avramidis

Student:

Partner:

FPInnovations (Vancouver, BC)

Discipline:

Physics

Sector:

Agriculture; Construction and infrastructure; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Compatible Sewer pipe defect detection and estimation of its key characteristic with two different imaging system

There is recently a trend of applying computer vision for interpreting the inspection images or videos of pips automatically. In recent years, deep learning has obtained promising performance in various computer vision tasks such as image classification and object detection. Compared with conventional computer vision techniques, approaches based on deep learning are capable of extracting image features automatically and there is not much requirement of image pre-processing, which improves the accuracy and efficiency. We attack this problem by formulating it as anomaly detection method. There are several techniques for anomaly detection, our goal is to improve the state-of-the-art technique like CFLOW-AD and tailored them to satisfy our client’s need. Using an unsupervised technique for detecting anomaly enable the system to detect any kind of anomaly without expecting providing ground truth by our client. In addition, using unsupervised technique enable the system to easily apply in different imaging system since it is not relying on the labeled data.

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Faculty Supervisor:

Chi-Guhn Lee;Chul Min Yeum

Student:

Partner:

JACOBB

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto; University of Waterloo

Program:

Accelerate

Neutron storage and detection experiments

Measurements of the fundamental properties of neutrons may yield insight into unsolved problems in particle physics and astrophysics. Intense sources of ultracold neutrons, and efficient neutron storage and detection, are needed to make these measurements possible. A new neutron storage vessel, designed and built in Canada, will be tested at the Japan Proton Accelerator Research Complex (J-PARC), and has been approved and scheduled to run in June 2022. Neutron detectors built in Canada will be tested in a separate measurement, conducted in either May or June. The student will assist in preparing, conducting, and analyzing the data from the tests, during summer 2022. The tests in Japan are direly needed to ensure the future success of a fully assembled neutron electric dipole moment experiment, to commence in Canada in 2023.

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Faculty Supervisor:

Jeffery Martin

Student:

Partner:

High Energy Accelerator Research Organization

Discipline:

Physics

Sector:

Education; Professional, scientific and technical services

University:

University of Winnipeg

Program:

Globalink Research Award

New cathode materials for advanced batteries as a cost-effective energy storage for the electric grid

Advanced energy storage plays a critical role in addressing climate change and increasing the high penetration of renewable energy sources such as wind and solar. Among energy storage systems, lithium-ion batteries are the most electrifying and sustainable. These technologies’ functional constraints, prices, and safety all have an impact on the acceptability of large-scale battery storage systems.
Lithium-ion batteries have surpassed all other battery storage options, accounting for more than 90% of the global grid battery storage market. However, the rising need for energy storage technologies with high energy density and prolonged cycle life has shifted focus to the development of next-generation batteries such as lithium-sulfur batteries. In the present project, the new materials as a cathode of lithium-sulfur batteries will be designed to overcome the limitations of lithium-sulfur batteries.

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Faculty Supervisor:

Afshin Rezaei-Zare

Student:

Partner:

SpinorX Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

York University

Program:

Accelerate

Assessing Regional Extrathoracic Drug Deposition for Pressurized Metered-Dose Inhalers

Pressurized metered-dose inhalers (pMDIs) are widely used to deliver drugs to the lungs for treatment of respiratory diseases. However, targeting delivery of inhaled drugs to the lungs is not straightforward. The airways of the mouth and throat present a barrier through which inhaled particles must penetrate in order to reach their target sites in the lungs. Indeed, deposition of drug-containing particles emitted from inhalers in the mouth and throat is limits the lung dose that can be achieved from inhalers in current use, and in some cases can lead to undesirable side effects, including sore throat, altered voice quality, and oral infections.
The proposed work will investigate regional patterns of deposition in the mouth and throat for particles delivered from pMDIs. Physical models of adult and child mouth and throat airways will be used for this purpose. Use of airway models helps to avoid early testing of new drug and device combination products in animals or humans, and allows drug developers to gain valuable feedback on innovative technologies. The influence of device and formulation parameters on regional mouth-throat deposition will be evaluated over a range of inhalation flow rates for both the adult and child airway geometries.

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Faculty Supervisor:

Andrew Martin

Student:

Partner:

1232176 B.C. Ltd.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Environmental Sustainability: Managing the risk of landslides in the context of climate change

The objective of this GRA is to recreate high mobility debris flows in the laboratory to create the novel observations of landslide shear behaviour during flow needed to further refine predictive models of landslide mobility. Specifically, this collaboration is aimed to unlock the synergy between advanced sensor technologies developed by the team at the Technion led by Professor Mark Talesnick, which the intern (Shay) is part of, with our world class large-scale experimental facilities at Queen’s to explore the fundamental mechanics of soil materials in a wide range of processes including liquefaction and landslide flow. The research focus will be to combine the novel sensor technology which Shay familiar for the measurement of shear and normal stresses and strains within the soil in a granular material with our ultra-highspeed imaging (>100,000 frames per second) to permit hypotheses regarding the role water content to define and control the available friction observed at the base of a landslide. Once armed with this data for a range of different moisture contents, the research team will work with the landslide numerical modelling community to collaborate towards improving the accuracy of our predictions needed to better quantify risk in a changing environment.

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Faculty Supervisor:

Andy Take

Student:

Partner:

Technion – Israel Institute of Technology

Discipline:

Engineering

Sector:

Education

University:

Queen's University

Program:

Globalink Research Award

User Experience Requirements and Design for Collaborative Dance Choreography in Augmented Reality

Augmented reality technology promises seamless and effective remote collaboration for 3D tasks. The performing arts, especially dance, is heavily reliant on precise and creative collaboration in 3D space, but the specific task needs, interface designs, and user experience requirements of collaborative work in dance for augmented reality is unknown. In particular, more than other commonly researched augmented reality applications, creating dances collaboratively requires enabling creative feedback, practice, and adjustment of 3D human poses over time (i.e., feedback on form, posture, expression, etc., during a dance). In this project, the interns will use user-centered methods to gather user requirements, develop prototypes, and evaluate interfaces for collaborative dance choreography in augmented reality. This project is in collaboration with a local dance organization.

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Faculty Supervisor:

Daniel Rea

Student:

Partner:

Spandrel Interactive Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of New Brunswick

Program:

Accelerate

Numeracy practices in contemporary curriculum and pedagogy: exploring the benefits of an online digital technology

The goal of this project is to investigate how a new online digital technology, Maple Learn, can contribute to contemporary mathematics curricula internationally. New curricula in mathematics emphasize broad skills that cut across all mathematics domains. In other words, instead of focusing of formulas and procedures, contemporary mathematics curricula promote similarities across domains (such as arithmetic, algebra, geometry, and statistics) to teach students to use mathematics in their daily lives. In partnership with Maplesoft, we will investigate how mathematics is portrayed in these curricula and how the features of Maple Learn can contribute to fostering such a portrayal. We will then create workshops for secondary mathematics teachers and examine their perceptions of mathematics, curriculum, and technology.

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Faculty Supervisor:

Alexandre Cavalcante

Student:

Partner:

Maplesoft

Discipline:

Sociology

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Characterizing and Optimizing Bondline Reactions during Electric Resistance Welding of Advanced High Strength Steels

To improve passenger safety and vehicle fuel economy, automotive companies are increasing their use of both advanced high strength steels (AHSS) and hydroformed tubular construction. However, successful use of new AHSS tubular designs require successful electric resistance welding (ERW) of these grades. The high alloy content of new AHSS leads to bondline decarburization and the formation of non-metallic particles; degrading bondline strength. The proposed project will understand ERW properties using both an industrial and laboratory approach. Optimum welding parameters will be developed to enable use of AHSS in hydroforming applications. This project will i) characterize the kinetics of non-metallic formation; ii) develop a model to predict non-metallics formation; iii) characterize how bondline decarburization forms; and iv) develop robust ERW parameters. The know-how from this project will increase the competitiveness of Canada’s steel industry and enable technologies to further Canada’s greenhouse gas reduction goals.

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Faculty Supervisor:

Elliot Biro

Student:

Partner:

ArcelorMittal Dofasco

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate

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