Innovative Projects Realized

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

30156 Completed Projects

2861
AB
5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projects by Category

L2M –Optical emission spectroscopy for quality monitoring and controlling in wire-arc directed energy deposition process.

The project aims to improve the quality of 3D-printed parts by developing an in-situ nondestructive method that combines spectroscopy with Wire-Arc Additive Manufacturing (WAAM). This involves using a spectrometer and developed algorithms to monitor the welding process, providing comprehensive material characterization during the 3D printing process. Implementing this in-situ sensor will improve process quality control and produce more reliable and efficient components with potential mechanical and microstructure properties.

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Faculty Supervisor:

Ahmed Qureshi

Student:

Partner:

Edmonton Unlimited

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Public administration

University:

University of Alberta

Program:

Business Strategy Internship

L2M-3Dimension Thermal Imaging System

This project addresses the main problem in utilizing Additive Manufacturing (AM) in industries like oil and sands and aerospace, which is the assurance of the quality of the part. This project is a novel approach to providing 3-dimensional thermal data from the 3D printing process, which can provide valuable data and allow engineers to delve into the mechanical properties and microstructure of each point of as-built parts. Previously, 2D thermal data was provided for the process, but this device is providing the position-wise thermal data. During this internship, the entrepreneurial skills of the intern will improve. Also, by interviewing a group of experts the product will be polished for industrialization.

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Faculty Supervisor:

Ahmed Qureshi

Student:

Partner:

Edmonton Unlimited

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Public administration

University:

University of Alberta

Program:

Business Strategy Internship

Hivelighter: Read Like Me

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

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Faculty Supervisor:

Bang Liu

Student:

Partner:

Hivelighter Inc.

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Université de Montréal

Program:

Accelerate

Optimisation du réseau logistique d’une entreprise oeuvrant dans le domaine du textile médical

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

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Faculty Supervisor:

Marilène Cherkesly;Walter Rei;Matthieu Gruson

Student:

Partner:

MIP Inc.

Discipline:

Mathematics

Sector:

Manufacturing

University:

Université du Québec à Montréal

Program:

Accelerate

Vers un modèle hybride économie-ingénierie des systèmes énergétiques

Vers un modèle hybride économie-ingénierie des systèmes énergétiques: comment améliorer l’évaluation des politiques énergétiques et climatiques dans le modèle d’équilibre général calculable NAGEM, notamment en améliorant le lien avec le modèle d’optimisation NATEM?

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Faculty Supervisor:

Mark Purdon;Charles Séguin

Student:

Partner:

ESMIA Consultants

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Université du Québec à Montréal

Program:

Accelerate

Quantitative Scanometry using Smartphones

The health care system in both developing and developed countries are strained by the need for expensive diagnostic instruments and techniques, as well as a lack of medically trained personnel. An inexpensive, easy-to-use technique is proposed to be studied for use in medical and/or point-of-care diagnositics by performing a test on a piece of plastic and analyzing the results of the test using a smartphone camera and app, and sent to a doctor remotely for further action or analysis. The study will focus on biological markers of diseases in humans, though no human samples will be tested at this point. We will assess the feasibility of using this detection platform and to determine how it compares to methods currently used by laboratories in hospitals to diagnose or monitor patient conditions.

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Faculty Supervisor:

Hua-Zhong Yu

Student:

Partner:

Beijing Normal University

Discipline:

Physics

Sector:

Education

University:

Simon Fraser University

Program:

Globalink Research Award

Effect on the reaction kinetics and degree of conversion when dental resins are light cured for short (3 s) exposure times

When you go to the dentist and receive a white filling, this resin filling is hardened in the tooth using blue light from a dental curing light. Health Canada classifies curing lights as Class I Medical Devices, but they do not test if the manufacturer’s claims are correct. There are many different brands of lights and dental resin fillings on the market. The instructions for most dental resins recommend that the resin filling should be light cured for 10 or 20 seconds, but some brands of lights claim that they can successfully cure (harden) the resin filling in only 1 to 3 seconds. Dentists are confused about who to believe, which light they should buy, and how long they should it for. This is important because more undesirable chemicals are released from undercured resin fillings and these chemicals have been shown to have a detrimental effect on the reproductive functions in animals. This project will tell manufacturers and dentists if it is acceptable to light-cure dental fillings in the mouth in 1 to 3 seconds. The project will also determine if some filling materials can be acceptably hardened (light-cured) with the curing light faster than others.

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Faculty Supervisor:

Richard Price

Student:

Partner:

Ivoclar

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Devant Platform User Experience Research

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

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Faculty Supervisor:

Paul Zanettos

Student:

Partner:

Devant Group

Discipline:

Business

Sector:

Education

University:

George Brown College of Applied Arts and Technology

Program:

Accelerate

Evaluation of Terrestrial Environmental Effects Monitoring Forest Health Vegetation Monitoring in Jack Pine Forests

The Wood Buffalo Environmental Association (WBEA) monitors the impact of industrial activities on jack pine forests within the Athabasca Oil Sands Region (AOSR), in Alberta, Canada. WBEA’s Forest Health Monitoring Program tracks the effects of deposition of nutrients and other elements emitted by industrial activities at the AOSR on the surrounding forests. The proposed project aims to examine how industrial emissions and their deposition affect the nutrient/element distribution, tree growth, and understory plant communities in these forests. Data from four monitoring periods spanning twenty years (2004, 2012, 2018, and 2024) will be analyzed. We expect to find more nutrients and faster growth in trees closer to sources of emission, and changes in plant species towards those that thrive on nitrogen in areas of higher nitrogen deposition. This partnership will enhance WBEA’s understanding of their long-term monitoring vegetation data and vegetation monitoring procedures by providing new insights into the effects of atmospheric deposition on the jack pine forests while simultaneously offering valuable research experience and professional development to the applicant.

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Faculty Supervisor:

Anne McIntosh

Student:

Partner:

Wood Buffalo Environmental Association

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Elevate

L2M-Automated Home Oxygen Therapy through Closed-Loop Control of Inhaled Oxygen Concentration

This project focuses on developing an innovative, automated wearable oxygen delivery system specifically designed to improve the quality of life for individuals with Chronic Obstructive Pulmonary Disease (COPD) and other respiratory ailments. By incorporating advanced sensor technology, the system will dynamically adjust oxygen flow based on the user’s real-time respiratory needs, allowing for greater mobility and comfort. This not only aims to enhance patient independence but also significantly reduces healthcare costs associated with hospital readmissions. For the partner organization, this project offers the potential to lead in the advancement of respiratory care technology, opening up new market opportunities and reinforcing its role as a pioneer in healthcare innovation. The collaboration will also help the organization stay at the forefront of medical technology, providing competitive advantages in both the healthcare and technology sectors.

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Faculty Supervisor:

Andrew Martin

Student:

Partner:

Edmonton Unlimited

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Public administration

University:

University of Alberta

Program:

Business Strategy Internship

Development of a Computational Model for Characterizing Viscoelastic Polymer Solutions

Understanding the stretchy qualities of complex fluids is crucial for industries such as inkjet printing, food manufacturing, fiber spinning, and pharmaceuticals. Special devices called filament and capillary breakup rheometers are often used to study these properties. Despite this, one of the biggest challenges in these industries is accurately measuring the “relaxation times” — a key factor that influences how these fluids behave under stress. This measurement is challenging to standardize and usually needs manual tweaks, which can be inefficient and inconsistent. To tackle this problem, our project is creating an automated toolbox designed to use data from simulations and experiments to figure out these relaxation times more precisely when the fluid is stretched. This toolbox isn’t just about automation; it’s about increasing accuracy by combining simple and advanced models of how the fluid flows and reacts with actual experimental observations. One exciting feature of our toolbox is the use advanced numerical simulations and super-resolution AI techniques. These powerful tools will help us process images from the experiments to observe extremely fine details of how the fluid thins out, down to subpixel levels. This means we can see tiny changes that were previously invisible, improving our understanding and measurement accuracy.

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Faculty Supervisor:

Moussa Tembely

Student:

Partner:

3M Canada (London, ON)

Discipline:

Engineering

Sector:

Manufacturing

University:

Concordia University

Program:

Accelerate

DSSK Retrieval

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

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Faculty Supervisor:

Pascal Germain;Cem Subakan

Student:

Partner:

ServiceNow Canada

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

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