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

Using Machine Learning for Ocean Data Analysis through integration of satellite images and ship movement data

This project aims to combine two different sources on merchant ship movement, AIS and satellite images. AIS data is emitted by every merchant ship above a certain size, which allows the ship to be tracked from the coastline. The goal of this project is to use both these sources of data to train an automated system to detect suspicious ship movement, that could indicate illegal behavior (e.g. illegal transfer of cargo), and continue tracking ships via the imagery even when the AIS transmitter is (purposefully) turned off and the ship is no longer emitting its position. This is a novel approach, as typically in the past, although several different ways exist to track merchant ship movement, the data from these systems is rarely used in combination to achieve a more in-depth understanding of shipping traffic, and tends to be analyzed in isolation. The expected outcome of the project is an automated system that can identify specific ships from satellite images and determine discrepancies between the two sources.

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Faculty Supervisor:

Stan Matwin

Student:

Partner:

University of the Aegean

Discipline:

Computer science

Sector:

Ocean Tech; Information and Communications Technology; Transportation (excluding aerospace)

University:

Dalhousie University

Program:

Globalink Research Award

Une sécurité Arctique? Reconfiguration des enjeux de sécurité dans une région en mutation

L ’objectif principal de ma recherche est de mesurer comment les mutations du système océan influent sur la structuration de la gouvernance de la sécurité à l’échelle arctique. À ce titre, j’adopte une perspective panarctique et tous les pays qui peuvent prétendre à une souveraineté territoriale sur cet océan doivent être analysés. Ce stage de recherche conduit en Norvège me permettra alors de bénéficier de l’expertise du centre de recherche sur la gouvernance arctique de l’UiT et donc d’avancer de façon significative dans ma recherche. Dans le cadre de cette phase cruciale, plusieurs résultats sont attendus. D’abord, en termes de collecte de données, une cinquantaine d’entretiens sont espérés. Comme le travail de prises de contacts sur place est déjà bien entamé, je suis confiante dans ma capacité à atteindre cet objectif. Puisque ce séjour de recherche s’inscrit à la suite d’un séjour en Finlande en Octobre 2018, j’entends par ailleurs pouvoir répondre à ma problématique de recherche pour le côté européen de l’arctique.

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Faculty Supervisor:

Frédéric Lasserre

Student:

Partner:

Universitetet i Tromsø – Norges arktiske universitet

Discipline:

Sociology

Sector:

Public Service, Policy, and Governance; Sustainability & the Environment

University:

Université Laval

Program:

Globalink Research Award

Modelling the effect of bumble bee population dynamics and dispersal on pollination of blueberry crops

This project is part of a larger mathematical modelling research project that has the broad objective of answering the question: Where should wildflowers be planted around blueberry farms to increase bumble bee pollination and provide the best economic result to the growers? To that end, we are creating an online tool in which blueberry growers can create a map of their farm, marking blueberry crop zones and potential wildflower planting areas. The map will then be imported into the Bumble-BEEHAVE model citep{Becher2018}, where the bumble bee movement and population dynamics are simulated for a period of several years, and the number of visits to each flower patch and blueberry field are recorded. The focus of this project is to make the connection between the number of bee visits to a blueberry field and the pollination services received by that field, providing the output an individual grower needs to make wildflower planting decisions for their farm.

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Faculty Supervisor:

Rebecca Tyson;John Braun

Student:

Partner:

University of Exeter

Discipline:

Mathematics

Sector:

Education

University:

The University of British Columbia - Okanagan

Program:

Globalink Research Award

Informatics for companion animal surveillance

The objective of this project is to employ computer technologies to describe and detect trends in enteric diseases and antimicrobial resistance. A data extraction program has been developed and installed on the computers at twelve sentinel companion animal practices in and around Calgary. The program automatically extracts, transforms and exports the desired fields to an external data warehouse. Using natural language methodologies the data will automatically be encoded to extract the cases of infectious enteric disease from the files. Descriptive and analytical epidemiology will characterize infectious enteric disease in Calgary pets and to detect patterns and clusters in space and time of enteric disease. To examine the relevance of the information from pets for human health and public health, the patterns of enteric disease seen in pets will be compared to human enteric disease laboratory submissions and evaluated for similarities in space, time, etiologies and antimicrobial resistance patterns.

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Faculty Supervisor:

Sylvia Checkley

Student:

Partner:

AQL Management Consulting Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Production, protection and potential for co-benefit: Evaluating the Species at Risk Partnerships on Agricultural Lands program in southwest Saskatchewan from the perspective of producers

The Saskatchewan Stock Growers Association (SSGA) and the South of the Divide Conservation Action Program Inc (SODCAP Inc.) received funding from Environment Canada’s Species at Risk Partnerships on Agricultural Lands (SARPAL) initiative. They developed programs to deliver the SARPAL initiative to farmers and ranchers in the Milk River Watershed in southwestern Saskatchewan. I will interview producers engaged in the project to gain an understanding of the experiences they have had with the program over the last four years, and use this research data to evaluate program success, identify challenges and opportunities to improve the program, and inform the development of future programs to achieve multiple goals of supporting species at risk on agricultural land, climate change adaptation and agricultural productivity nationwide. The partner organization SODCAP Inc., as well as the SSGA, will benefit from a timely evaluation of the SARPAL initiative from the perspective of the producers who participated in the program. This research data will inform the next phase of SARPAL.

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Faculty Supervisor:

Lael Parrott

Student:

Partner:

The South of the Divide Conservation Action Program Inc

Discipline:

Earth science

Sector:

Agriculture

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Analyse de l’erreur du positionnement assisté par la métrologie 3D

Le projet envisagé, a pour cadre l’industrie manufacturière, plus précisément, les activités liées à l’assemblage des composants d’aéronefs et de véhicules de transport. De façon régulière dans ces secteurs, l’assemblage est effectué grâce à des gabarits dédiés à effectuer une seule tâche. Lorsque celle-ci doit être changée ou modifiée, le gabarit doit subir des modifications ou être complètement remplacé ce qui occasionne des retards et des carences de productivité. Le but de ce projet est d’utiliser les capacités métrologiques tridimensionnelles afin de développer de nouvelles méthodes et de nouveaux outils afin d’appuyer ces opérations d’assemblage. Il sera donc possible d’assister les opérateurs en temps réel lors d’opérations de positionnement et d’orientation. Cela permettra par le fait même de maintenir un très grand niveau de contrôle de qualité et de traçabilité au niveau de la chaîne d’assemblage. Ce projet aura pour conséquence d’éliminer une bonne partie des gabarits d’assemblages, de réduire les exigences de calibration après chaque altération ou retouche des gabarits et de résoudre différentes classes de problèmes industriels. Dans cet ordre d’idée, le projet de recherche aura comme objectif principal d’effectuer une étude de répétabilité et reproductibilité afin de déterminer l’erreur engendrée par un tel système de mesure.

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Faculty Supervisor:

Souheil-Antoine Tahan

Student:

Partner:

InnovMetric Logiciels inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

Injection molding with laser-micromachined molds to fabricate biomimetic flow enhancing polymer parts

With this collaborative project we plan to proof that non-stick, self-emptying containers can be produced through molding the polymer with a laser-micromachined steel mold. Imparting a Nature-inspired functional microstructure through laser-machining onto metals is a well understood method developed in Prof. Kietzig’s lab. By using a laser-structured metal mold to form plastics, we will imprint the inverse pattern onto polymer surfaces through an industrial scale injection molding process. We will optimize pattern dimension, laser machining process parameters and injection molding process parameters to ensure the desired transfer of the hierarchical pattern. Further we will carry out advanced wetting studies to assess the functionality of the resulting polymer surfaces.

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Faculty Supervisor:

Anne-Marie Kietzig

Student:

Partner:

IPL Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

McGill University

Program:

Accelerate

Impact de la fréquence et la taille de repas, de la supplémentation enzymatique et du type de ration sur la digestibilité des nutriments et le transit gastrointestinal chez le porc en croissance

La majorité des essais nutritionnels sont réalisés chez des porcs nourris deux fois par jour avec une quantité restreinte de nourriture. Ces conditions ne sont pas représentatives de la régie alimentaire des élevages commerciaux où les porcs mangent plus de deux repas par jour sans limitation de la quantité ingérée. Or, la féquence et la taille des repas ont un impact sur la digestibilité des nutriments et le transit gastrointestinal. Ces derniers sont aussi modifiés par le type de ration et plus particulièrement, son contenu en fibres. Dépendemment du type de fibres, le transit peut être accéléré ou ralenti se qui influence les processus de digestion et absorption des nutriments. Des enzymes exogènes peuvent être ajoutées aux rations des porcs afin de limiter les impacts des fibres. Par contre, les enzymes ne présentent pas des effets constants. Ce projet permettrait d’acquérir des connaissances non-disponibles dans la littérature scientifique permettant d’optimiser l’utilisation des nutriments chez le porc afin de limiter les rejets dans l’environnement.

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Faculty Supervisor:

Marie-Pierre Létourneau Montminy;Frédéric Guay

Student:

Partner:

Aarhus University

Discipline:

Life Sciences

Sector:

Agriculture and Food; Life Sciences (not health); Other

University:

Université Laval

Program:

Globalink Research Award

Computatiol Investigation of Ni-Ceria Nanocatalysts to Produce Hydrogen in Aquaprocessing of Heavy Oil

The use of unconventional heavy oil, such as the bitumen derived from oil sands, has progressively increased, placing these
materials as a compelling alternative to meet short- and long-term energy demands. Nevertheless, the current technologies available to exploit and upgrade this crude have critical challenges, such as high production costs, lower energy efficiency, and, even worse, significant environmental damage. Recently, nanocatalysts have emerged as a feasible technology for the in-situ upgrading of heavy oil. In this procedure, a hot fluid that carries the metallic nanoparticles is injected into the reservoir, where the particles act as a catalyst, accelerating hydrocarbon hydrogenation and cracking. However, due to the complexity of the process, significant experimental and theoretical studies are still necessary to fully understand this technique and use it at the industrial level. In this project, we are performing quantum chemistry calculations to investigate the role of NPs, specifically Ni-Ceria, in the in-situ upgrading technology and the aquaprocessing of oil sands.

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Faculty Supervisor:

Dennis Salahub

Student:

Partner:

Centro de Investigacion y de Estudios Avanzados del IPN

Discipline:

Computer science

Sector:

Environmental Science and Technology; Clean Technology; Nanotechnology; Quantum Science

University:

University of Calgary

Program:

Globalink Research Award

Axiomatic approach to classical field theory

The project is centered around the need for procedures in classical relativistic field theories. The idea is to determine the minimal amount of rules (postulates) such that a classical field theory can be uniquely determined. More specifically, determining a set of rules such that a unique set of models will follow from Noether’s theorem. The basis for the rules are models such as covariant electrodynamics. Example rules are properties of these models such as manifest gauge invariance, including explicit gauge invariance of the Lagrangian, Lorentz invariance, and the presence of a field strength tensor in the theory. The expected outcome is to further the current understanding in this area of the axiomatic approach to physics.

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Faculty Supervisor:

Sergei Kuzmin

Student:

Partner:

Utrecht University (Mexico)

Discipline:

Mathematics

Sector:

Education; Aerospace; Other

University:

Western University

Program:

Globalink Research Award

Stuck en Route: Irregular Migrants and Protracted Transit Situations at the Periphery of Europe

My research concerns borders, refugees, and protracted transit situations at the periphery of Europe. Following four months of field work in the Western Balkans this summer, I propose to undertake a six-month foreign study period at Aix-Marseille Université under the supervision of Professor Pierre Sintès, an accomplished and renowned scholar, specializing in issues of international migration, bordering, and identities in the Balkans. As a member of his research laboratory, I would work among the select group of scholars conducting advanced research on my topic, gain invaluable guidance and training, and establish connections for international collaboration possibilities. I intend to conduct follow-up ethnographic research with former research subjects I met in the Western Balkans, that have since arrived in Marseille and elsewhere in France. The data gathered through this multi-spatial, multi-temporal examination of transit and mobility in and around Europe would generate unique and meaningful material for my ongoing Master’s research, academic articles, and future projects.

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Faculty Supervisor:

Sarah Moser

Student:

Partner:

Aix-Marseille Université

Discipline:

Sociology

Sector:

Education

University:

McGill University

Program:

Globalink Research Award

Fully Automated Thyroid Nodule Detection and Classification Using Machine Learning and Ultrasound Imaging

The thyroid glands are located at the front of the neck. The thyroid glands tend to develop small lumps, and it is very common in adults. Most of the lumps are not harmful to humans. However, some of these lumps could be cancerous. Therefore, it is essential to detect the lumps that are cancerous correctly. One approach to identifying the lumps is to use ultrasound imaging which allows for detecting lumps that are smaller than 1 cm. Three internship programmers working with Medo Dx will develop a new approach to detect the lumps from ultrasound imaging using artificial intelligence. The computer program will then prepare a report to the doctors that will allow for better management of the lumps in the thyroid glands. This will reduce the healthcare cost on unnecessary biopsies and reduce patient anxiety. TO BE CONT”D

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Faculty Supervisor:

Kumaradevan Punithakumar

Student:

Partner:

MEDO DX;MEDO.ai

Discipline:

Computer science

Sector:

Agriculture; Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

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