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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

Honey bees are very crucial due to their pollination services and plays important role in Canadian economy. Unfortunately, a huge loss in honey bee colonies was seen in recent years due to many detrimental factors including climate change and infections. The viral infections have also played a very significant role in recent crop loses, the […]

The current approach for addressing the fabrication error in SiPIC devices is expensive and insufficient, significantly limiting the potential of the SiPIC technology. The solution we have developed is to tune the SiPICs using femtosecond laser pulses. By irradiating the silicon waveguides with single or multiple laser pulses, we can correct errors in the circuit […]

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 […]

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 […]

The proposed project by LysisLogic Scientific Inc. aims to create a strategic blueprint for two of its innovative technologies. This initiative will align scientific research with business strategies to accelerate the technologies’ journey from the lab to the market, based on comprehensive market research that identifies industry trends, opportunities, and growth areas. The outcome will […]

This project is a necessary step toward model development for machine condition assessment that is capable of both diagnosis and prognosis including root cause analysis. The analytical model, once validated and calibrated can serve as a baseline model or a template for the detection of machine health problems. Because of the details of a machine […]