Innovative Projects Realized

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

29670 Completed Projects

2811
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4990
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801
MB
663
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825
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8841
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9197
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95
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568
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1088
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Projects by Category

Deep Learning for Automation of 3D Pore Analysis in Micro-CT Tomographs

This research proposal focuses on addressing the prevalent challenges associated with Proton Exchange Membrane Fuel Cells (PEMFCs), specifically targeting the reduction of greenhouse gas emissions. Despite significant advancements in performance and durability, particularly in automotive contexts, the high cost associated with essential materials for optimal functionality remains a formidable barrier. Notably, advancements in cathode gas diffusion layer (GDL) water management have enhanced performance metrics and subsequently mitigated costs. However, a detailed understanding of microscale pores and liquid water dynamics is crucial for further innovation. Current image processing methods for bubble analysis within GDLs are time-consuming, potentially biased, and limited in their capacity for complex analyses. This project proposes the integration of artificial intelligence (AI) to automate image analysis processes, aiming to increase precision, reduce bias, and expedite research timelines. By combining experimental insights with advanced image analysis techniques, this initiative strives to develop a comprehensive tool for characterizing and understanding the intricate phenomena occurring within PEMFCs. Collaborative efforts between theoretical and experimental research groups will facilitate the necessary data collection, development, and validation of this innovative tool, ultimately contributing to the advancement of PEMFC technology and its commercial application.

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Faculty Supervisor:

Aimy Bazylak

Student:

Partner:

Rheinisch-Westfälische Technische Hochschule Aachen

Discipline:

Computer science

Sector:

Clean Technology; Environmental Science and Technology; Green/Alternative Energy

University:

University of Toronto

Program:

Globalink Research Award

Genetic toolbox to understand ovule development

How complex organs develop from a small set of undifferentiated cells is a fundamental question in biology. Genetic mutations that alter organs shape give us important insight to answer this question. This project aims to use CRISPR/CAS9 technology to introduce different types of genetic constructions into the model plant Arabidopsis thaliana to understand the development of its ovules. The ovule is particularly important since it’s at the origin of the seeds, which constitutes most of human and animal sources of food, and the development of the correct shape is directly related to fertility, and thus plant productivity. This genetic toolbox will allow us to analyse the regulation of ovule development, linking gene expression, hormone flow and biomechanical growth in the different tissues. It will also deliver the capacity to manipulate the ovule growth, opening the possibility to increase its size, which could be of interest to the agricultural industry.

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Faculty Supervisor:

Daniel Kierzkowski

Student:

Partner:

Indiana University Bloomington

Discipline:

Life Sciences

Sector:

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

University:

Université de Montréal

Program:

Globalink Research Award

Valorisation de données en viabilité hivernale (Interfaces graphiques et optimisation)

Le problème d’entretien hivernal des routes constitue un domaine de recherche crucial, où les chercheurs ont cherché à élaborer des stratégies novatrices pour gérer
efficacement les ressources tout en garantissant un service de qualité. Les variations climatiques, les quantités variables de neige et les contraintes logistiques
font de ce problème un terrain propice à l’application d’algorithmes d’optimisation. Ce projet, qui est une collaboration avec la ville de Rouyn-Noranda, vise à améliorer les opérations de déneigement des trottoirs afin d’augmenter la qualité de service tout en développant d’interfaces graphiques pour visualiser les opérations de déneigement des trottoirs en temps réel.

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Faculty Supervisor:

Chahid Ahabchane

Student:

Partner:

École nationale des sciences de l'informatique

Discipline:

Computer science

Sector:

Education

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Globalink Research Award

Strategic B2B Marketing of AI/ML and other Software Solutions

Chartd is a Canadian software company from Ottawa that builds easy-to-use, cutting-edge data management solutions, emphasizing user experience, simplicity, and accuracy. Our mission is to provide our clients with user-friendly decision-making tools and automate business workflows. We are seeking a talented Marketing Intern to join our dynamic team and play a crucial role in our business software and AI/NLP projects. This internship offers an exciting opportunity for hands-on experience in various aspects of marketing (content creation, analytics, strategy), with a focus on digital marketing. The marketing intern will play a crucial role in supporting our marketing efforts and gaining valuable insights into the B2B software industry.

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Faculty Supervisor:

Linying Dong

Student:

Partner:

Chartd

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

Toronto Metropolitan University

Program:

Business Strategy Internship

Education Technology Developer

Botree, a future-thinking learning and development company, is taking a significant step forward by introducing an AI-powered application to revolutionize instructional design. This project aims to update traditional training models, making them more effective for the digital-first workforce. By incorporating advanced learning theories and leveraging AI, Botree’s new application will transform research and existing content into interactive, structured learning modules. This will not only improve knowledge retention and practical application for learners but also allow Botree to scale its services efficiently. The project promises to benefit partner organizations by providing more adaptable, relevant, and effective training solutions tailored to the demands of the future workforce. The student intern will provide support in the design, testing and roll-out of this new technology by working with an AI development team and Botree to facilitate this project.

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Faculty Supervisor:

Temitope Oriola

Student:

Partner:

Botree

Discipline:

Business

Sector:

Education

University:

University of Alberta

Program:

Business Strategy Internship

Expérimentation d’affaires pour la gestion de la capacité de la SAT

La SAT est actuellement en réorientation stratégique. En effet, la SAT cherche à mettre en place une nouvelle offre de services. Pour opérationnaliser cette offre, le projet est de faire de l’expérimentation d’affaires, c’est-à-dire des expériences au sein de l’entreprise dans des environnements contrôlés, pour travailler la gestion de la capacité afin de garantir que les ressources de la SAT sont suffisantes et que leur gestion est optimale pour assurer la mise en place de ces nouveaux services. Le projet a pour objectif de faire ressortir des recommendations et des meilleures pratiques en gestion de la capacité pour la SAT.

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Faculty Supervisor:

Mickaël Gardoni

Student:

Partner:

Société des Arts Technologiques

Discipline:

Business

Sector:

Arts, entertainment and recreation

University:

École de technologie supérieure

Program:

Business Strategy Internship

Real-time Reinforcement Cage Quality Monitoring in Construction of Concrete Structures

This research will provide a real-time reinforcement cage quality monitoring framework for the construction of reinforced concrete structures, which is expected to improve the production quality of reinforced concrete products and reduce the workload of construction workers in the foreseeable future. Specifically, this research will (1) provide a rebar cage dimension measurement method based on cameras, freeing human labor from the laborious task of measuring the dimension of reinforcement cages by hand; (2) develop a new rebar cage inspection application, which can instruct workers to assemble rebar cage properly and generate rebar cage quality inspection reports automatically; (3) reveal the major challenges in the automated quality monitoring of rebar cages and show the promising directions for subsequent research; (4) present high-quality papers to improve the academic visibility of participating institutions.

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Faculty Supervisor:

Yi Shao

Student:

Partner:

Princeton University

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

McGill University

Program:

Globalink Research Award

Power Quality Improvement at Sunnybrook Health Sciences Center

Sunnybrook Health Sciences Centre, a major hospital and medical research facility in Toronto, is fed from a portion of the electrical grid that is subject to numerous short power dips. These dips can cause significant issues within the hospital. A newly installed generator was found to not only produce electrical power but also help support the incoming voltage during those dips and mitigate some of the adverse effects. Research is required to gather data from specific electrical points of Sunnybrook’s power distribution system and analyse that data to create a software model of the generator’s control system. This model can then be used to create operating scenarios that optimize the generator’s ability to minimize those adverse effects and prepare for physical tests to confirm the projections.

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Faculty Supervisor:

Vijay Sood;Langis Roy

Student:

Partner:

Sunnybrook Health Sciences Centre

Discipline:

Engineering

Sector:

Clean Technology; Energy and Utilities; Sustainability & the Environment

University:

University of Ontario Institute of Technology

Program:

Accelerate

Kaili Jackson – Arbi

ARBI (Association for the Rehabilitation of the Brain Injured) is a non-profit association in Calgary which has been recognized for over 40 years as a pioneer in community-based brain injury rehabilitation. It is unique in Canada for the combination of professional and volunteer services for long-term neurorehabilitation that addresses both the physical and emotional impacts of acquired brain injury, as well as support for the family and making connections back to the community.
?The intern’s contributions to the development of educational materials for onboarding new staff and volunteers, and training in our neurorehabilitation program presents a multifaceted advantage for our organization. It also harnesses the fresh perspectives and innovative ideas of the intern will inject new knowledge, energy, and creativity into our educational materials, enriching their content and enhancing their effectiveness.

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Faculty Supervisor:

Ari Pandes

Student:

Partner:

Arbi

Discipline:

Business

Sector:

Health and Related Sciences & Technology

University:

University of Calgary

Program:

Business Strategy Internship

Social-economic Analysis on Gender Differences in Time Allocation in China

As the economy in China has developed in recent years people are now paying more attention to quality of life. How people choose to spend their time and the social-economic factors influencing these choices are both key factors in shaping the well-being of the nation. Time-use survey, a statistical tool to measure time allocation on various human activities, was first done in China in 2008. The survey exhibited obvious gender gaps in time spent on paid work, unpaid work, and non-work activity. Statistically analyzing the raw data collected in the survey allows decomposition of the overall gender gaps into explained variances, i.e. the differences that can be attributed to social-economic factors, and unexplained ones. As a result of this research the influencing social-economic factors will be further understood; this enhanced understanding will assist policy makers in China in developing more sustainable strategies for national economic and psychological well-being.

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Faculty Supervisor:

Mobinul Huq

Student:

Partner:

Beijing Institute of Technology

Discipline:

Sociology

Sector:

Education

University:

University of Saskatchewan

Program:

Globalink Research Award

Characterizing a Biaxial Driven Ring FUS Transducer for Applications in Electrophysiology

In this project, researchers from the NeuroFUS lab at the University of Calgary led by Dr. Pichardo and Dr. N’Djin’s group from LabTAU at INSERM and the University of Lyon collaborate to improve focused ultrasound (FUS) technology by characterizing a new ring-shaped transducer. FUS is a flexible technique that targets deep tissue with sound waves to cause ablation to treat conditions such as essential tremors and tumours or, through microbubbling enhance the permeability of the blood-brain barrier for drug delivery, to name a few applications. The prototype to be characterized is a single-element transducer whose unique geometric properties through a novel driving method promise more accurate ultrasound focusing, as seen in simulations. The study of the novel driving method being applied is a primary research area in the NeuroFUS lab at the University of Calgary. Completing such a transducer with a small focal area furthers LabTAU’s study of neuromodulatory effects with FUS in a microscopy setting. Dr. Pichardo will benefit from expanding the number of applications of the new ultrasound technology being developed in Calgary. Dr. N’Djin will benefit from a unique new type of ultrasound actuator that will significantly increase his capabilities to perform FUS-induced neuromodulation experiments.

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Faculty Supervisor:

Samuel Pichardo

Student:

Partner:

Institut National de la Santé et de la Recherche Médicale

Discipline:

Engineering

Sector:

Biotechnology; Life Sciences (not health)

University:

University of Calgary

Program:

Globalink Research Award

Mid-fidelity method for wind turbine simulations using Finite Element Analysis and Actuator Line Method

Wind energy technology plays a crucial role in the global strategy for a green transition, with a significant acceleration in deploying new wind power plants being essential to meet global CO2 reduction targets. In this context, research in numerical simulation can provide the renewable energy sector with reliable tools for new wind farm design, land optimization, power plant efficiency, wind turbine load and loss assessment, and control strategies. This research project aims to develop a wind energy simulation system, leveraging the combined expertise of two leading groups in computational fluid dynamics. It will focus on a novel application of the Actuator Line Model (ALM) within a finite element analysis framework. The project will concentrate on aerodynamic simulations of utility-scale wind turbines and farms, involving the creation of a system that integrates an aeroelastic model of the blades, incorporates improved model corrections for tip effects and force projection in the computational fluid domain, and employs the variational multiscale method and advanced finite element and isogeometric analysis to resolve the 3D turbulent flow within the stratified atmospheric boundary layer and its interaction with wind turbine wakes.

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Faculty Supervisor:

Artem Korobenko

Student:

Partner:

Sapienza Università di Roma

Discipline:

Engineering

Sector:

Clean Technology; Green/Alternative Energy; Technology

University:

University of Calgary

Program:

Globalink Research Award

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