Innovative Projects Realized

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

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Gender differences in career progress and inclusion: Navigating the impact of parenthood on recruitment and retention of women in the mining industry

Mine sites are often remote and are unable to provide the same flexibility that other workplaces do. For workers who become parents, these factors make balancing work and family obligations particularly difficult. Because research has shown that younger ( Millennial and GenZ) workers place high value on work-life balance, and because retaining skilled workers is vital, Kinross Gold wants to learn from their workers, how, as an employer, they can support them as they take n new responsibilities. Three interns will conduct mixed method research to map the regulatory environment fjurisdictions determine best practices in mining countries globally,

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Faculty Supervisor:

Anne Johnson

Student:

Partner:

Kinross Gold

Discipline:

Engineering

Sector:

Mining

University:

Queen's University

Program:

Accelerate

Computational methods for analyzing cell shape heterogeneity with application to Atomic Force Microscopy.

Cells cultured on planar surfaces adopt a variety of morphological shapes. Despite their seeming randomness, such morphology is determined by a biophysical process that represents the sum of multiple cellular processes. Cell morphology is dynamic, and cells change their shape with time and across different time scales, e.g. with local modification of the environment, or from differentiation/cancer. Morphological trajectories are likely to be even more informative than static images, but we lack basic tools to understand these trajectories. In this context, Atomic Force Microscopy is an advanced technique for investigating morphological properties of cell, by scanning the surface of a biological sample. Our proposed project is to develop mathematical methods to analyze morphological shape heterogeneity in the context of biological image data, and develop more specific methods to automate the analysis of images from Atomic Force Microscopy. These methods will lead to go beyond traditional approaches for clustering and features detection of cell images, to provide a more dynamic picture of the cell shape variability.

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Faculty Supervisor:

Khanh Dao Duc

Student:

Partner:

CentraleSupélec

Discipline:

Computer science

Sector:

Education

University:

The University of British Columbia

Program:

Globalink Research Award

Microbial water quality assessment and source tracking at Volunteer Park

Recreational waters provide numerous societal benefits and contribute to public health and well-being. Recreational waters can pose a risk to the public when microbial contamination is present. To improve quality of life and local water quality, developing new locations for recreation in Vancouver is a focus of community groups including partner organization Swim Drink Fish. In developing new recreational areas, water quality is assessed to ensure site suitability. This project focuses on Volunteer Park, which is not designated for recreational water use and exhibited persistent E. coli contamination from May to September 2023. The goals of this project are to monitor microbiological water quality of the water at Volunteer Park throughout summer and into fall and winter 2024, and to identify the source of the microbial contamination. This will aid in the development of remediation plans that may make Volunteer Park suitable for recreational water access in the future.

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Faculty Supervisor:

Jane Fowler

Student:

Partner:

Swim Drink Fish

Discipline:

Life Sciences

Sector:

Other services (except public administration)

University:

Simon Fraser University

Program:

Accelerate

Design optimization of modular panel bridge

4.0. The modular panel bridge is a prefabricated truss bridge. Modular panel bridges have been widely adopted in civil engineering and transportation infrastructure projects worldwide due to their versatility, ease of assembly, and cost-effectiveness, which render it suitable for the construction of both permanent and temporary bridges. The research approach adopted in this project integrates both experimental and numerical analyses to comprehensively examine the structural response of the double-truss modular panel bridge. The present study utilizes the results of experimental investigations conducted by the research team of individual shear panels tested in the laboratory and a full-scale 45.7m-long double-truss modular panel bridge tested in the field. The subject bridge consists of two types of truss shear panels, namely standard shear panels (SSP) and high shear panels (HSP). Two distinctive nonlinear finite element models (FEM) are established: a simplified model, which incorporates beam-column elements; and a more rigorous model that incorporates shell elements. Both FEMs account for the material and geometrical nonlinear behaviours as well as the buckling. The performance and load-carrying capacities of the individual shear panels and full bridge are investigated, and the predictions are compared with the experimental results. The effects of modeling the clear length of members and

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Faculty Supervisor:

Hesham El Naggar

Student:

Partner:

Algonquin Bridge

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

The University of Western Ontario

Program:

Accelerate

Developmental Evaluation of a Province-Wide Personal Health Records Application

MyHealthNB is a province-wide personal health records (PHR) application that provides all New Brunswick citizens digital access to their health information, including lab results, immunization records, medication lists, and imaging reports. Although MyHealthNB was developed with aim of empowering New Brunswickers to be more actively involved in their health and healthcare, the solution has yet to be evaluated from the perspectives of patients, caregivers, and healthcare providers. Through a partnership between Sinai Health (the academic partner that houses Dr. Voorheis and Dr. Steele Gray) and VeroSource Solutions Inc. (the industry partner who developed MyHealthNB using their cloud based digital front door solution), an evaluation will be conducted on MyHealthNB. This evaluation will focus on exploring MyHealthNB’s design (i.e., how New Brunswickers interact with MyHealthNB’s interface and features), implementation (i.e, how New Brunswickers are learning about MyHealthNB and accessing it), and impact (i.e., how New Brunswickers feel MyHealthNB is impacting their healthcare experiences). The purpose of this evaluation is to inform improvements to MyHealthNB and to learn about how to we can design more empowering PHR applications in the future.

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Faculty Supervisor:

Carolyn Steele Gray

Student:

Partner:

VeroSource Solutions Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Elevate

A behavioural planning capability for autonomous aircraft

The objective is to expand on current collision avoidance path planning frameworks in a two-fold manner, improving prediction as well as decision-making components. The first task is to improve prediction models and generate maneuver bands for air traffic circuit navigation. The second task is to then improve the decision-making framework to select the pseudo-optimal maneuver, i.e. the maneuver that is safe and most similar to one performed by a human pilot in the same situation. This will most likely require the development of a novel metric that scores each maneuver allowed by ownship performance limits such that maneuvers can be ranked and the pseudo-optimal maneuver can be selected. The work is expected to leverage NASA Langley’s DAIDALUS framework as a starting point, and may involve additional frameworks (e.g. ACAS-Xu, TCAS II-7.1) as the project evolves. Implementing an improved behavioural planner that expands on state-of-the-art frameworks will allow Ribbit to facilitate safe and expedient flight operations out of uncontrolled airports.

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Faculty Supervisor:

Krzysztof Czarnecki

Student:

Partner:

Ribbit

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Optimize user behavior in social games through identification and dynamic adaptation to player attributes

In this project, the candidate will gather new & utilize existing data in conjunction with machine learning algorithms to optimize various aspects of how one (or more) social games operates. Experiments will be proposed and run in order to gather operational data. This data will be used in conjunction with existing player & game data in order to identify, test, and apply different machine learning algorithms and statistical models. An adaptive platform will be used to apply the models/algorithms, and continually update and optimize player behavior. Optimial behavior shall determined by measuring impact on key game metrics such as number of days game is played, number of actions taken in game, revenue per user, number of social interactions and quality of social interactions (duration, frequency).

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Faculty Supervisor:

Eugene Fiume

Student:

Partner:

Zynga Game Network Canada Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Near-Term Quantum Algorithms for Simulation of Spectroscopy

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

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Faculty Supervisor:

Nathan Wiebe

Student:

Partner:

Xanadu

Discipline:

Physics

Sector:

Information and cultural industries; Manufacturing; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Integrating Diverse Sampling Sources for Enhanced Discrete Fracture Network Modeling of Open Pit Mine Slopes

This research project consists of the application of Discrete Fracture Network (DFN) modeling techniques to model the geological fractures within rock formations, with a specific focus on open pit mines. The central challenge lies in accurately representing the spatial distribution of fractures in rock masses. To overcome this challenge, advanced statistical methods and computational simulations are utilized to construct create fractures in 3D domains. The integration of DFN with advanced numerical methods, such as the discrete element method (DEM), enhances stability analyses, offering valuable insights. However, the computational demands associated with 3D models present constraints on fully exploring the probabilistic nature of these numerical models.
The primary objective of this research is to develop an advanced DFN model for open pit mines, leveraging information from multiple geological sampling sources (boreholes and rock outcrop mapping). This includes establishing an automated DFN input database, creating a model capable of capturing spatial variability and addressing uncertainties, and formulating a methodology for DFN-based slope stability analysis in computer clouds. This research not only contributes to advancing DFN methodologies but also addresses practical engineering challenges in large-scale projects.

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Faculty Supervisor:

Pedro Cacciari

Student:

Partner:

ArcelorMittal (Longueuil, QC)

Discipline:

Engineering

Sector:

Manufacturing; Mining

University:

Polytechnique Montréal

Program:

Accelerate

Nanostructured Blends of Organic Semiconductors

Organic semiconductors have driven the development of next generation technologies such as printable solar cells, flexible displays, and wearable electronics. Such devices are based on thin films of organic semiconductors, often blended with other semiconductors or nanomaterials. The structure and morphology of a thin film plays a crucial role in the performance and efficiency of organic electronic devices. For instance, charge transport may depend on the size, arrangement, and orientation of crystalline features. X-ray diffraction is a traditional method to study structure, however, it provides limited information for organic semiconductors and their blends. On the other hand, x-ray scattering is a advanced technique to comprehensively study structure in thin films of organic semiconductors. The Müller-Buschbaum Group at the Technical University of Munich is a global leader of x-ray scattering techniques for organic semiconductors. This project studies the relationship between structure and optoelectronic properties of novel organic semiconductors used in green energy applications. This collaboration leverages novel nanocomposites formed by the Shankar group with the advanced characterization expertise of the Müller-Buschbaum group. Our findings will help guide the design of next generation energy materials and represents a step towards the realization of highly efficient photocatalytic and photovoltaic devices.

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Faculty Supervisor:

Karthik Shankar

Student:

Partner:

Technical University of Munich

Discipline:

Engineering

Sector:

Clean Technology; Sustainability & the Environment; Nanotechnology

University:

University of Alberta

Program:

Globalink Research Award

Past and current Bitcoin adopters in Canada

The popularity of cryptocurrencies has continued to increase over the past years, raising serious policy concerns among Central Banks. Given the Bank of Canada’s role in maintaining financial stability, its 2019 Financial System Review identified the evolution of the cryptoasset market as one of six financial vulnerabilities that need to be monitored closely. Currently, in Canada, Bitcoin and other cryptocurrencies are in the early stages of adoption, and the size of this market is not yet large enough to pose significant risks to the financial system. However, this may change quickly. Therefore, it is essential to better understand consumer adoption and usage of Bitcoin and its counterparts over time, along with individual expectations about the crypto market.

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Faculty Supervisor:

Joann Jasiak

Student:

Partner:

Bank of Canada

Discipline:

Sociology

Sector:

Finance and Insurance; Manufacturing; Public administration

University:

York University

Program:

Accelerate

Analysis of Cross-infection Risk with Mechanical Ventilation System Operations in Uncertain Indoor Environments

As the need for pandemic preparedness, assessing cross-infection risks based on the given indoor environmental conditions is crucial for preventing the spread of group infections. The objective of this research project is to analyze cross-infection risks with various types of mechanical ventilation systems in uncertain environments, such as locations and distances of the infector and susceptible, and also with the simultaneous operation of an air conditioner. The particle dispersion experiment was conducted for four types of mechanical ventilation systems (Ceiling-type, Standing-type, Wall-mounted, and Vertical lamina airflow system), and we aim to design the evaluation framework and analyze the cross-infection risks with obtained experimental data through this project. The methods for experimentally assessing the risk of infection and analyzing it are currently diverse. If researchers with relevant evaluation experience exchange knowledge and experiences, research results can be analyzed effectively from multiple perspectives. Moreover, interacting with the different situations each country is taking for infection prevention can provide ideas for developing more advanced technologies and exploring infection prevention plans in the future.

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Faculty Supervisor:

Jeffrey Siegel

Student:

Partner:

University of Seoul

Discipline:

Life Sciences

Sector:

Environmental Science and Technology; Health and Related Sciences & Technology; Sustainability & the Environment

University:

University of Toronto

Program:

Globalink Research Award

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.