Innovative Projects Realized

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29670 Completed Projects

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Projects by Category

Interdisciplinary design of music recommender systems for the enhancement of discoverability of under-represented music cultures

CEIMIA is an international non-profit organization that mobilizes expertise and resources to promote the development and responsible use of artificial intelligence for the benefit of humanity. One of CEIMIA’s role is to establish supportive connections between key players in the national and international AI ecosystems, while promoting diversity and inclusion in all their projects.

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Faculty Supervisor:

Golnoosh Farnadi

Student:

Partner:

CEIMIA

Discipline:

Computer science

Sector:

Information and cultural industries; Other services (except public administration); Professional, scientific and technical services

University:

Concordia University; Université de Montréal

Program:

Accelerate

Focus marking in Kalaallisut

The Inuit language with most speakers is Kalaallisut, the official language of Greenland. Nevertheless, linguistic descriptions of Kalaallisut are far less numerous and complete than for European languages like English. In particular, there is little research on how speakers highlight new information and relate it to information already discussed earlier in a conversation – even though doing so is fundamental to successful communication. We know that Kalaallisut can change the order of words much more flexibly than English. For example, while English speakers would only say “She read a book”, but never “A book read she”, both orders are acceptable in Kalaallisut. English speakers instead modulate the pitch, duration and loudness of individual words within a sentence (e.g. “Did she write a book?” – “No, she READ a book” vs. “Did she read an article?” – “No, she read a BOOK”). Our previous research indicates that some modulation like that is also possible in Kalaallisut. But how do these two grammatical tools, changes in word order and modulation of words, work together? Do speakers use both at the same time? Do they prefer one over the other? In this project, we will develop a first description, initiating a multi-year collaboration.

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Faculty Supervisor:

Anja Arnhold

Student:

Partner:

Ilisimatusarfik; The University of Greenland

Discipline:

Sociology

Sector:

Other; Indigenous Innovation

University:

University of Alberta

Program:

Globalink Research Award

Supervised and Semi-supervised approaches to sample growing and online prediction of customer intent

The company collects survey data from websites which is combined with behavioural data from survey respondents. This combined data set is information rich but can be too sparse for modelling purposes in a straight forward supervised learning context. As such, on-going research concerns optimizing the process by which non-survey related behavioural data can be leveraged to improve the robustness and efficacy of supervised models built using the combined survey/behavioural data alone. In addition, these models can be used to optimize and improve online predictive algorithms, where behavioural data from web site users is modelled in real-time to create profiles or to label traffic as indicative as one group/class or another.

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Faculty Supervisor:

Layachi Bentabet

Student:

Partner:

iPerceptions Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Bishop's University

Program:

Accelerate

Impact de la nature des solvants sur la température de transition vitreuse de pates de copolymère styrénique pour le développement d’un procédé de recyclage vert.

Ce projet de recherche est associé au développement d’une technologie verte de recyclage pour des copolymères styréniques tel que le HIPS et l’ABS. Ces deux plastiques sont très utilisés dans les domaines de l’électronique, de l’automobile, et dans la conception d’une myriade d’autres matériaux que nous utilisons tous les jours. La technologie de recyclage de Polystyvert est non destructive, et utilise des solvants qui sont recyclés et réutilisésen boucle dans le procédé. L’efficacité de purification du HIPS et de l’ABS post-consommations passe par la connaissance intime des interactions entre les solvants et les plastiques d’intérêt. Ce faisant, cette étude vise l’élucidation de ces interactions en fonction des différents solvants utilisés. Cette étude permettra également d’optimiser le procédé en termes de balance économique et d’efficacité de purification pour une mise à l’échelle et une commercialisation de la dite technologie.

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Faculty Supervisor:

Christian Pellerin

Student:

Partner:

Polystyvert

Discipline:

Physics

Sector:

Administrative and support, waste management and remediation services

University:

Université de Montréal

Program:

Accelerate

Effects of thinning on saproxylic beetles in black spruce plantations in northwestern Ontario

The integration of biodiversity value in forest management is becoming more common and widely adopted across many countries. Despite the popularity of conifer plantations and thinning practices in Canada, the current knowledge on long-term effects of mechanical thinning on biodiversity is poorly understood. Saproxylic beetles are a group of insects associated with dead or dying trees. These dead wood-associated insects are critical to forest ecosystem function, yet they are highly sensitive to environmental changes and forest disturbance, making these insects as excellent bio-indicators to assess ecosystem health. The proposed research will explore diversity and community structures of saproxylic beetles among different intensities of thinning in black spruce plantations near Limestone Lake, Nipigon, Ontario, Canada. Given the very limited number of studies on biodiversity responses to thinning practices, the outcomes from this research are expected to fill critical knowledge gaps on biological responses to thinning, thereby contributing to a broader framework of biodiversity sensitive forest management.

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Faculty Supervisor:

Seung-Il Lee

Student:

Partner:

Chungbuk National University

Discipline:

Life Sciences

Sector:

Forestry; Natural Resources; Environmental Science and Technology

University:

Lakehead University

Program:

Globalink Research Award

Harvest rain droplet kinetic energy for the emerging Internet of Things (IoT) technology

The research project aims to explore rain droplet kinetic energy harvesting for advanced engineering applications in the emerging Internet of Things (IoT) technology. As the world increasingly seeks renewable energy sources and sustainable technologies, the concept of harvesting wasted energy forms from the environment gains significance. One promising avenue is reverse electrowetting on dielectric (REWOD), a process where electricity is used to alter droplet dynamics, thereby generating electricity from droplet motion and modulation. The primary research goal of this project is to enhance the efficiency and sustainability of rain droplet kinetic energy harvesting, specifically utilising the principle of reverse electrowetting on dielectric (REWOD), in the context of IoT applications. A key aspect of achieving this goal involves leveraging the expertise of the host institute to explore novel approaches and materials for improving the REWOD energy harvester’s performance.

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Faculty Supervisor:

Xuehua Zhang

Student:

Partner:

Northumbria University

Discipline:

Engineering

Sector:

Green/Alternative Energy; Sustainability & the Environment; Technology

University:

University of Alberta

Program:

Globalink Research Award

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

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