Innovative Projects Realized

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

31132 Completed Projects

2940
AB
5159
BC
837
MB
685
NL
882
SK
9291
ON
9695
QC
97
PE
601
NB
1161
NS

Projects by Category

Debugging ML via Feature-guided Analysis: from Neuron-based to Ensembles-based Rules

Neural networks support software engineers in their tasks and activities. For example, in the automotive domain, neural networks support automotive software by detecting other vehicles and their distance from the ego vehicle. Unlike other software systems that the engineers manually program, the neural network’s behavior is defined by its training data. Since the behavior of a neural network is learned from data, the interpretation of the reasoning procedure employed by the neural networks is complicated. This project aims to help software engineers debug their neural networks. It is framed in the context of feature-guided analysis: A recent approach to explaining neural network reasoning. The project aims to to (a) understand whether and how feature-guided analysis can help debug neural networks, and (b) extend it to provide consider neurons’ ensembles that can give engineers higher-level debugging information. The results of this work will enhance current software development practices by proposing a novel debugging technique industries can use to understand the behavior of their neural networks.

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Faculty Supervisor:

Mark Lawford

Student:

Partner:

University of Bergamo

Discipline:

Engineering

Sector:

Education

University:

McMaster University

Program:

Globalink Research Award

Mineralogy and geochemistry of selected granitic pegmatites in Uganda

Pegmatites are important sources of several rare elements which are essential for development of modern technologies. The pegmatite deposits in Uganda had been explored and mined until the early 1970’s. At present, they are being re-evaluated and exploration for new deposits is ongoing. Auranda is seeking to establish models for mineral production based on certified, conflict-free production and trading chains. The main objective of this project is to improve the knowledge of the rare-element pegmatite occurrences in central and southern Uganda, while training the next generation of geologists in pegmatite exploration techniques, which can be applied to potential deposits being identified in Canada. Field work, electron microprobe, cathodoluminescence microscopy, geochronology, and other techniques will be used to:
1. Determine the spatial distribution of rare-element pegmatites and the regional zoning of individual pegmatite groups.
2. Identify the affiliation of pegmatites to their parental granites.
3. Assess the accuracy and practicality of mica geochemistry and mineralogy as an exploration tool for non-exposed rare-element pegmatites.
4. Distinguish metamorphic, pegmatitic and hydrothermal quartz.
5. Assess fractionation degree, classification, depth of origin, and types of post-magmatic processes affecting the rare-element mineralization.

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Faculty Supervisor:

Lee Groat

Student:

Partner:

Auranda Minerals

Discipline:

Earth science

Sector:

Mining

University:

The University of British Columbia

Program:

Accelerate

Artisanat et santé : l’utilisation d’objets artisanaux dans la médecine traditionnelle communautaire.

Le projet de recherche que nous proposons s’inscrit dans le cadre de l’entente bilatérale de collaboration de recherche conclue entre l’Universidad Intercultural Indígena de Michoacán (UIIM) du Michoacán, Mexique et l’UQAT de Québec, Canada. Celui-ci poursuit l’objectif de rendre visible l’usage et l’importance des métiers de l’artisanat dans les pratiques de promotion de la santé dans les communautés P’urhépecha du Michoacán et les communautés autochtones de la région de l’Abitibi-Témiscamingue, ainsi que d’étudier les significations symboliques de l’artisanat chez les peuples autochtones, en tenant compte de son impact sur la santé des artisans et de la communauté à laquelle ils appartiennent.
De même, identifier le lien entre le travail artisanal et l’identité culturelle, la pratique de la santé communautaire et le maintien des langues maternelles des communautés. Cette proposition de recherche peut être l’occasion pour le Dr Oscar Labra Labra, chercheur actif reconnu pour travailler sur le thème de la santé communautaire, qui serait également le superviseur direct de notre recherche, d’aborder le sujet de la santé communautaire sous de nouvelles perspectives, en lien avec cela avec le domaine des métiers artisanaux qui se développent dans les communautés autochtones.

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Faculty Supervisor:

Oscar Sandro Ramon Labra

Student:

Partner:

Université interculturelle Indigène du Michoacán

Discipline:

Sociology

Sector:

Indigenous

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Globalink Research Award

Stage de Recherche

Ce projet vise à explorer l’impact des grandes infrastructures de transport, comme le tramway et l’élargissement du pont Pierre Laporte, sur la congestion routière et les émissions de gaz à effet de serre dans la région de Québec. En utilisant un outil de simulation avancé appelé METROPOLIS, le stagiaire analysera comment ces projets peuvent améliorer la fluidité du trafic et réduire les impacts environnementaux. Ce travail permettra de produire des documents clairs et accessibles qui guideront les décideurs publics dans l’élaboration de politiques de transport durable, tout en offrant des solutions concrètes pour améliorer la qualité de vie des citoyens.

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Faculty Supervisor:

Carlos Ordas Criado

Student:

Partner:

Cergy-Paris Université

Discipline:

Sociology

Sector:

Other

University:

Université Laval

Program:

Globalink Research Award

Prediction of High-Level-Descriptors in Game Audio

This project aims to research a new set of algorithms that extract audio features from audio files in sound effect libraries and use machine learning approaches to predict high-level audio descriptors–such as emotional adjectives–to enhance game audio file labelling. This research project will assist our partner organization by providing them with a set of algorithms that can be used for the detection and comparison of high level descriptors within their own sound libraries to differentiate their product from competitors, while at the same time providing an improved experience for their users.

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Faculty Supervisor:

Miles Thorogood

Student:

Partner:

Audiokinetic

Discipline:

Computer science

Sector:

Information and cultural industries

University:

The University of British Columbia - Okanagan

Program:

Accelerate

HPN Hyperautomation Platform

HPN is building a hyperautomation platform using data science, artificial intelligence (AI), and machine learning (ML) techniques to hyperscale its unique business model. The expected outcomes from this platform will be scale up of revenue internationally along with improved operating margins; enhanced member and customer experience through self-service and AI concierge services; and innovation in our business model by unlocking the predictive and learning capabilities of our data. The intern will be responsible for developing an initial data taxonomy and entity-relationship framework on current data sets; identifying and defining hyperautomation use cases based on customer and member journey models; conducting a state of the art review of hyperautomation models/techniques that could be used for each use case as well as technical uncertainties; developing correlative and causal hypothesis on data relationships based on the HPN busines model/workfkows/datasets; and supporting experiments based on these hypothesis.

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Faculty Supervisor:

Seok-bum Ko

Student:

Partner:

Hilltop Partner Network

Discipline:

Engineering

Sector:

New and Digital Media; Technology; Artificial Intelligence

University:

University of Saskatchewan

Program:

Accelerate

Participation in the operation of the biobank at the USask Biobank

The USask biobank currently specializes in oncology specimen collection. We cover all steps from biospecimen sample collection (biopsy, tissue, blood and ascites fluids), processing, quality control and storage. We also coordinate new release samples for the USask and Pan-Canadian project research teams. All patient data, samples and associated data must be captured, traceable and updated in the ATiM biobank database.
During this period, the student will be invited to familiarize themselves with all the operational and administrative activities of the biobank. The student can participate in writing new, reviewing and updating procedures. We also have opportunities for expansion of sample collection in which the student may participate and will be expected to conduct literature searches and lead project set-up meetings during oral and written presentations.

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Faculty Supervisor:

Marilyn Kinloch

Student:

Partner:

Lyon Catholic University

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

University of Saskatchewan

Program:

Globalink Research Award

Amélio : Modèle prédictif des intentions de départs des employés – QC-801

Amélio souhaite développer un modèle prédictif novateur pour anticiper les intentions de départ des employés. Ce projet utilisera des techniques avancées en apprentissage automatique pour aider les entreprises à mieux comprendre les dynamiques internes et renforcer leur stratégie de rétention.

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Faculty Supervisor:

Christian Gagné;Michael Morin

Student:

Partner:

Amélio

Discipline:

Computer science

Sector:

Information and Communications Technology; Artificial Intelligence

University:

Université Laval

Program:

Accelerate

Evolutionary Significance of Hybrid Zones on Avian Biodiversity from the Neotropics

Tropical forests house an exceptionally high biological diversity and despite great interest in factors that might drive the formation of high species richness, little is understood about how this diversity arose. In the Neotropics, rivers appear to delimit the geographic ranges of closely related avian species, and are generally believed to have been important in in promoting species formation by acting as dispersal barriers to populations on either side. A key question is whether or not reproductive isolation is accumulating between taxa that are separated by rivers over most of their geographic range, but have narrow contact zones in headwater regions. These zones are defined as regions in which members of genetically distinct populations mix and produce offspring of mixed ancestry. Thus, in my project I will explore the genetic architecture of two avian contact zones from the Brazilian Amazon using cutting-edge genetic methods to provide a detailed analysis of the evolutionary process in one of the most diverse ecosystems on Earth.

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Faculty Supervisor:

Jason Weir

Student:

Partner:

Universidade Federal do Pará

Discipline:

Life Sciences

Sector:

University:

University of Toronto

Program:

Globalink Research Award

Effect of altitude on cardiovascular responses to voluntary apnea in Nepali Sherpa

Our lab has demonstrated that voluntary apneas (i.e., breath-holds) at high altitude cause decreases in heart rate in lowlander populations. Apneas at altitude also cause cardiac arrhythmias in a majority of lowlanders. Unlike lowlanders, native highlanders (e.g., Nepali Sherpa) do not get the same decreased heart rate and cardiac arrhythmias during voluntary apneas at high altitude. However, a recent study showed that mountaineers climbing Mount Everest—almost all of which were Sherpa—got many cardiac arrhythmias over a multi-day ascent. Like apnea, exercise is an autonomic nervous system stressor, and these data therefore contradict our findings. I will therefore re-assess the cardiac responses to apneas in Sherpa at low and graded high altitude to uncover the progressive effect of altitude on the heart’s response to nervous system stress. Uncovering the physiological mechanisms described above provides new insights into the adaptations of the Sherpa to altitude. This project furthers Dr. Steinback’s research into physiological mechanisms during apneas. This project also furthers Dr. Mahotra’s clinical understanding via the population-specific outcomes not available through research in lowlanders. We hope the physiology we uncover informs future clinical research with meaningful impacts on the health of Nepali Sherpa.

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Faculty Supervisor:

Craig Steinback

Student:

Partner:

Tribhuvan University

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Environmental Science and Technology

University:

University of Alberta

Program:

Globalink Research Award

Design and Generation of Boryl Radicals for Direct Deoxygenation of Alcohols via C–O Homolysis

The hydroxy group (–OH) is well represented in organic chemistry and is present in 37% of commercial therapeutics, 69% of natural products and numerous biomasses. Despite their ubiquitous nature, the development of methods to directly transform hydroxy groups in a mild and less wasteful way has been seriously neglected. This, therefore, pushes for a method to interface organoboron chemistry with photoredox catalysis to achieve the direct activation of hydroxy groups for its functionalization with boryl radicals. Our lab has recently developed a new boronic ester that could potentially undergo photochemical oxidation. We anticipate that this Xpin-protected boronate (Bxpin) has the potential to generate a boryl radical via photoredox catalysis for alcohol abstraction to generate an alkyl radical. This alkyl radical could then undergo a wide variety of radical addition processes such as the Giese-type reaction, the Minisci reaction, acylation, and metallaphotoredox cross-coupling. The unique reactivity in this proposed project will help illuminate our fundamental understanding of photochemical C–O bond cleavage and boryl radical formation.

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Faculty Supervisor:

Dennis Hall

Student:

Partner:

Westfälische Wilhelms-Universität Münster

Discipline:

Physics

Sector:

Pharmaceuticals; Sustainability & the Environment

University:

University of Alberta

Program:

Globalink Research Award

Temperature Optimization in CEA Cannabis Production

Lighting and heating remain high-cost energy considerations in controlled environment agriculture, whether for food or medicinal plant production, yet how these parameters affect highly valued phytochemical profiles in Cannabis sativa inflorescence and subsequent cannabis products remains largely unexplored in industrial settings. This information could prove useful for licensed producers of cannabis or indoor food producers in Canada alike, where alterations to environmental control during plant growth might greatly reduce operational costs while boosting crop quality. Research objectives comprise determining how differences in daytime cultivation temperature affect plant growth/development parameters and cannabinoid profiles (THC and CBD). The effect of cultivation day temperature on photosynthetic rate, transpiration rate, and stomata conductance in cannabis plants will be investigated using the LICOR 6800. Additionally, energy consumption between HPS and LED lights during the cannabis flowering stage will be compared and modeled using historic kW usage and environmental control data. By collaborating with Cielo Verde Inc. as they shift from conventional high-pressure sodium (HPS) lighting to light- emitting diodes (LEDs) in their indoor production facility, our research will permit real-time analyses of environmental control effects on crop yield and quality, while assessing energy consumption in an indoor production facility for medicinal plants.

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Faculty Supervisor:

Mark Lefsrud

Student:

Partner:

Cielo Verde

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate