Development of a new oxygen generator

The need for medical oxygen is ever-increasing due to increasing air pollution, environmental pollution, fossil-based dirty fuels, pandemics, etc. Although using oxygen cylinders is the common practice for meeting oxygen demands for patients who need oxygen, this approach is not a permanent solution and is associated with numerous complications. There is a certain need for […]

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Test Process Automation with a Robotic Manipulator Arm

Pfizer, a leading global company, is constantly striving to deliver breakthroughs that improve patients’ lives. They achieve this through a dedication to research and development (R&D) and by optimizing their manufacturing processes. The student’s contributions will support Pfizer’s mission of innovation. In this two-part project, we will explore the automation of various tasks with the […]

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Analysis of measurements derived from next-generation, low-cost, satellite-based navigation antennas for performance characterization and antenna design

GPS – the Global Positioning System and similar positioning, navigation and timing (PNT) systems, referred to as Global Navigation Satellite Systems (GNSS), have dramatically improved productivity and safety in our daily lives. Calian GNSS Ltd. has developed a range of novel, low-cost GNSS antennas with advanced technologies. Further improvements are possible to increase antenna performance […]

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Development of an Automated Platform for the Production of Muscle Cells

Tissue engineering involves extracting cells from patients, growing them in a laboratory setting, and subsequently employing them for disease treatment . However, cell expansion encounters various obstacles, such as significant expenses and labor requirements, resulting in increased treatment costs. Moreover, the industry struggles with challenges such as skilled personnel shortages and difficulties in scaling up […]

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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 […]

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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 […]

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L2M – VisioConTech

The proposed project, VisioConTech, aims to revolutionize construction site monitoring through the implementation of automated, real-time systems designed to enhance safety, reduce costs, and improve operational efficiency. Traditional monitoring methods, which rely heavily on human observation, are inherently prone to errors and delays, frequently resulting in significant budget overruns and heightened safety risks. VisioConTech leverages […]

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Mathematical Modelling of Coke Formation in Thermal Cracking Units

Thermal cracking of ethane (from natural gas) is used to make ethylene, a chemical used for producing plastics. Thermal cracking occurs in metal tubes that pass through a furnace, where heat generated in the combustion chamber outside of the tubes makes the cracking reactions inside the tubes occur at high rates. Coke is an undesirable […]

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L2M – WAAM Sensor-fusion based deposition system

We have developed our sensing suite, which we use to acquire, record, retrieve, and process the in-situ process data during the wire-arc additive manufacturing process or welding process. The objective of this project is to contact the industry and do customer discovery and surveys from the industry to tailor and tweak the sensing suite to […]

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L2M – Autonomous Wildfire Aerial Control Solution

We address the limitations and hazards of current wildfire detection and suppression methods, focusing initially on Alberta’s boreal zone. Alberta Wildfire uses aircraft, helicopters, specialized equipment, and trained personnel, but these methods have critical drawbacks. Crewed aerial systems cannot operate 24/7, leaving gaps when fires can go undetected. Additionally, deploying personnel is expensive and not […]

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L2M – Fire-retardant elastic textiles

Fire-retardant fabrics are textiles engineered to self-extinguish when exposed to fire or extreme heat without ignition or burning. They serve as the main component of protective clothing for firefighters and industrial workers. The current garment design can provide excellent fire-resistant performance by using inherently fire-resistant fabrics with multi-layer designs; however, they suffer from bulkiness and […]

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Computational Modeling of Fluid-Structure-Chemical Interactions in Fish Swimming

Aquatic species, such as fish use effective methods for navigation and propulsion in marine environments. Understanding these functionalities of detecting predators, preys, food, and mates by sensing changes in water velocity and pressure offer valuable insights to design efficient underwater robots. Although underwater odor and chemical cues are crucial for fish navigation, the exact mechanisms […]

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