Innovative Projects Realized

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

29670 Completed Projects

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Projects by Category

A Closed Loop Robotic Welding System Using Point Clouds and Drawing Data

This project addresses a flexible autonomous robotic welding system. Despite the advancements in robotic systems, there are still significant challenges in developing welding robots for industrial applications. Challenges such as accurately determining the weld seam coordinates, ensuring the electrode head remains at the correct distance from the weld seam, and mitigating high environmental noise have constrained the deployment of these systems to a limited range of activities, necessitating operator intervention during setup. In this project, an accurate approximation of the weld seam is achieved by integrating data from various sources, including point clouds from stationary cameras, point clouds from eye in hand camera, and drawing data. To maintain the correct electrode-to-weld distance during welding, adjustments are made within a closed-loop control system designed to regulate the welding arc’s impedance. The proposed framework is implemented within a simulation environment and subjected to evaluation.

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Faculty Supervisor:

Mehran Mehrandezh

Student:

Partner:

Yazd University

Discipline:

Engineering

Sector:

Artificial Intelligence; Manufacturing and Construction; Advanced Manufacturing

University:

University of Regina

Program:

Globalink Research Award

Soudage par friction malaxage pour l’assemblage d’infrastructures de génie civil en aluminium

L’utilisation de l’aluminium dans les ponts permet d’obtenir des structures résistantes à la corrosion, plus légères et remplaçables plus facilement. Ceci en fait une option intéressante sur le long terme. Les platelages de ponts sont constitués d’extrusions en aluminium et sont soudés en usine par des procédés de soudure par fusion comme le MIG et le TIG. La soudure est la zone faible de l’assemblage, plus particulièrement en ce qui concerne sa résistance aux sollicitations cycliques.
Les procédés de soudage solide, comme le friction malaxage (FSW), permettent d’obtenir des soudures ayant des propriétés mécaniques supérieures à celles produites traditionnellement, plus particulièrement une résistance en fatigue plus élevée. L’utilisation du FSW pour fabriquer des platelages de ponts en aluminium a été étudiée et jugée comme pertinente. La soudure de plaques épaisses par FSW peut cependant mener à la formation de discontinuités à la racine du joint, ce qui est délétère à leur tenue en fatigue.
Dans ce contexte, une variante du friction malaxage, appelée friction malaxage à double épaulement (DE-FSW), est à l’étude.

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Faculty Supervisor:

Myriam Brochu;Lyne St-Georges

Student:

Partner:

AluQuébec

Discipline:

Engineering

Sector:

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

University:

Polytechnique Montréal

Program:

Accelerate

Product Discovery intern within cross-functional teams to develop and commercialize AI-powered solutions (1)

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Faculty Supervisor:

Svetlana Yanushkevich

Student:

Partner:

AltaML

Discipline:

Business

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Calgary

Program:

Business Strategy Internship

Oil lubricant tribological behaviour improvement through dispersion of graphene additive

Our research project focuses on enhancing the performance of grease lubricants utilized in the mining industry through the incorporation of graphene nanoparticles. Graphene is a cutting-edge material known for its exceptional lubricating properties. The intern(s) will collaborate closely with Nova Graphene Canada to synthesize and test these advanced lubricants. The expected outcome is the development of high-efficiency lubrication solutions that can significantly reduce friction and energy consumption in mining operations. This innovation has the potential to revolutionize lubrication technology, benefiting Nova Graphene Canada by positioning them as leaders in the field and offering environmentally friendly solutions for various industrial applications.

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Faculty Supervisor:

Amirkianoosh Kiani

Student:

Partner:

Nova Graphene Canada

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Ontario Institute of Technology

Program:

Accelerate

Disaster Management and Informal Settlements in India

The most recent flood in Ahmedabad, India occurred in September 2013, when 50,000 people were displaced from low lying areas of the state. The World Bank report warns that the poor living in informal settlements, such as coastal slums in India, are the most likely to be killed or harmed by extreme weather linked to climate change. The purpose of this research is to understand the historical developments of post-disaster guidelines and disaster preparedness plans in urban slums of India. This study will analyze whether upgrades of physical and legal statuses, such as land ownership, of slum communities and homes can provide insight towards disaster preparedness plans and post-disaster guidelines. It will be the first to interview different stakeholder groups (governments, NGOs, and slum residents) to inquire whether slum upgrading strategies can be used as means of disaster-preparedness. Implications and lessons will be drawn for many emerging disaster-vulnerable cities around the world.

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Faculty Supervisor:

Harry Shannon

Student:

Partner:

Manipal Academy of Higher Education

Discipline:

Life Sciences

Sector:

University:

McMaster University

Program:

Globalink Research Award

Photogrammetric speech motor control assessment

Speech sound disorders (SSDs) are an umbrella term for a range of speech difficulties characterised by a constellation of deficits. Identifying SSD subtypes can be supported by objectively analysing the child’s speech and facial movement patterns (kinematics). However, these movements can only be precisely and specifically measured using specialised instrumentation and software limited to the research setting. More time-efficient and objective diagnostic tools are urgently needed to supplement current clinical practices. Recent research has focused on facial tracking systems that automatically measure speech kinematics of facial landmarks using off-the-shelf cameras. The current state of the art utilizes the BlazeFace AI method to extract facial landmarks from the imagery. Intra-landmark distances are then derived to estimate facial kinematics. For this research project, photogrammetry will be used to validate the 3D facial landmark points extracted by the BlazeFace algorithm. The outcomes of this research will provide SL-Ps with a complementary diagnostic approach utilising objective measures

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Faculty Supervisor:

Derek Lichti

Student:

Partner:

Curtin University

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology; Information and Communications Technology

University:

University of Calgary

Program:

Globalink Research Award

Development of targeted delivery system for saRNAs using SNAP tag-based antibody fusion protein to treat triple-negative breast cancer

Triple negative breast cancer (TNBC) is a highly invasive and heterogenous disease that does not express oestrogen receptor and progesterone as well as the human epidermal growth factor receptor-2 and accounts for approximately 20% of all breast tumors. Its heterogenicity makes unlikely to reach the complete TNBC patient population with a single therapeutic agent. Therefore, corresponding receptors differentially overexpressed are being considered as high potential diagnostic/therapeutic targets, for example the ADC Sacituzumab govitecan (SG) approved by the FDA. However, ADCs are often with the off-target toxicities of the toxins. An elegant approach is to use self-amplifying RNAs (saRNAs). The aim of this research is to decorate nanoparticles with snap-tag based antibody fusion proteins for targeted delivery for TNBC treatment.
The saRNA encoding sequence will be cloned into a backbone plasmid vector. The linearized vector containing saRNA encoding eGFP will be transcribed and purified. The purified saRNA encoding eGFP will be encapsulated into a lipid nanoparticle using a microfluidic system, followed by characterization. After characterization, the lipid nanoparticle will be transfected into mammalian HEK293T cells. Upon successful transfection, the saRNA encoding eGFP encapsulated in the lipid nanoparticle will be used for cytotoxicity assay on TNBC positive cell line.

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Faculty Supervisor:

Anna Blakney

Student:

Partner:

University of Cape Town

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Biotechnology

University:

The University of British Columbia

Program:

Globalink Research Award

Specificity of the cAMP-PKA signalling pathway during thermotolerance in Saccharomyces cerevisiae

The proposed research project aims to investigate how Saccharomyces cerevisiae, a microorganism commonly used in the food and biofuel industry, responds to changes in temperature and manages to withstand high temperatures. Yeast cells face various types of stress as the environment conditions change, both in natural situations and during industrial processes. S. cerevisiae has developed mechanisms, known as signal transduction pathways, to detect, respond, and adapt to these extreme environmental changes. One of them is the cAMP-protein kinase A pathway. When external signals are received, cAMP is produced as a second messenger, activating a specific kinase called PKA. PKA exists as an inactive complex of two catalytic (effector) subunits (Tpk) and a regulatory subunit (Bcy1). The binding of cAMP to the regulatory subunit facilitates the activation of the catalytic subunits. This project aims to understand how PKA specifically responds to thermal stress by studying the genes and proteins regulated by one specific catalytic subunit, Tpk1. We will also analyze the proteins that make up the Tpk1 complex to understand how the expression of Tpk1 is regulated under stress conditions. By gaining insights into this specific response, we hope to better understand how S. cerevisiae adapts to thermal stress. The outcomes of this project will contribute to our knowledge of cAMP-PKA signaling pathway, and consequently, to better understand how S. cerevisiae adapts to thermal stress.

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Faculty Supervisor:

Vanina Zaremberg

Student:

Partner:

Universidad de Buenos Aires

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Biotechnology; Other

University:

University of Calgary

Program:

Globalink Research Award

Humanitarian ethical exit: Development of an ethical response closure tool for Canadian Red Cross

Important challenges remain around planning an ethical, justified, and accountable strategy for transitioning from emergency to long-term planning or closure of programs. Canadian Red Cross (CRC) aims to develop a practical guidance tool for closing humanitarian programs that will combine established operational practices with evidence based ethical considerations. This research will be qualitative in design and will be divided into three phases. In the first phase, existing guidelines from CRC and other available literature will be reviewed, and a workshop will be conducted to understand the needs, strengths, gaps, and challenges. In the second phase, the data from the first phase will be synthesized to develop a preliminary guidance tool. In the third phase, a second workshop will be conducted to get feedback and finalize the guidance tool.

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Faculty Supervisor:

Lisa Schwartz;Matthew Hunt

Student:

Partner:

Canadian Red Cross (Ottawa, ON)

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Other services (except public administration)

University:

McMaster University

Program:

Accelerate

Mathematical modeling of vertebrate retinal cone photoreceptor patterns

Cone photoreceptors are specialized cells in the retinas of vertebrates that absorb light to permit daylight vision. Two major morphological types exist: single cones, which are circular in cross section, and double cones, which consist of two apposed cones with elliptical cross section. In many vertebrates, cones are organized into repeating, lattice-like mosaics. The two main types are the hexagonal lattice (as in the human fovea), in which every single cone is surrounded by six others, and the square lattice (as occurs in many fishes and lizards) where each single cone is surrounded by four double cones. Cone mosaics mediate all aspects of daylight vision including colour discrimination and spatial acuity, yet the cellular mechanisms underlying their formation remain unknown. This research will model potential forces (adhesion, rotation, translation) acting on cones to reveal physical mechanisms underlying cone mosaic patterning. The identification of such mechanisms may be essential to understand the onset and time course of major retinopathies like retinitis pigmentosa and macular degeneration. This research will benefit the collaborating laboratories at both institutions as they share research interests in cone photoreceptor structure and function and in understanding mechanisms of retinal development and homeostasis.

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Faculty Supervisor:

Inigo Novales Flamarique

Student:

Partner:

University of Birmingham

Discipline:

Mathematics

Sector:

Health and Related Sciences & Technology; Life Sciences (not health); Education

University:

University of Victoria

Program:

Globalink Research Award

Study of human and machine reliability on the level of trust within human-machine systems

This project, as part of an ongoing collaboration between the University of Calgary (UCalgary) and École Nationale Supérieure d’Arts et Métiers (ENSAM), is dedicated to validating a trust model developed from a Ph.D. thesis work. The trust model serves to describe the effectiveness of human-machine collaboration in various tasks. By creating a real-world case for assessing the model, the project will offer invaluable insights into trust dynamics within human-machine systems (HMS). Such knowledge is potential to enhance the performance and safety of interfacing technology between humans and machines in HMS, benefiting both society and various industries. This collaboration strengthens the bonds between the UCalgary and ENSAM; and fosters future research opportunities to advance the HMS field.

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Faculty Supervisor:

Yaoping Hu

Student:

Partner:

Arts et Métiers Sciences et Technologies

Discipline:

Engineering

Sector:

Information and Communications Technology; Technology

University:

University of Calgary

Program:

Globalink Research Award

A Comprehensive investigation for Simulating SVOC’s Adsorptive Behavior in an Experimental Chamber: effect of humidity and adsorptive site’s accessibility

This study investigates the adsorption of semi-volatile organic compounds (SVOCs) in an experimental chamber, focusing on humidity effects and adsorptive site accessibility. Essential for workplace safety in indoor settings, this research tackles the complex dynamics of SVOCs like phthalates and flame retardants, often found in low concentrations but posing significant health hazards. The project highlights the necessity of advanced sampling methods, continuous monitoring, and the understanding of factors such as air exchange rate, particle size, and gas-particle partitioning, crucial in SVOC analysis. Advanced modeling, like BoxMox, will be employed to explore SVOC partitioning, especially under varying humidity conditions and their impact on larger molecules. This comprehensive approach aims to deepen the understanding of SVOC behavior in work environments, enhancing air quality and worker safety. The study’s insights are vital for developing better occupational health practices and methodologies in assessing SVOCs in indoor spaces.

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Faculty Supervisor:

Hossein Kazemian

Student:

Partner:

Max Planck Institute for Meteorology

Discipline:

Physics

Sector:

Environmental Science and Technology

University:

University of Northern British Columbia

Program:

Globalink Research Award

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