L2M- Machine learning based point-of-care device for rapid diagnosis of clinically relevant fungal pathogens

This project aims to develop and bring to market a point-of-care test (POCT) device driven by artificial intelligence to identify pathogenic yeast species from microscopy images collected from clinical samples (blood and urine). We will evaluate the efficacy of microfluidic devices to aid in the capture of microscopy images of different yeast species and their […]

Read More
Rajender Aidhi – BioAro

BioAro Inc. is a biotech startup that provides valuable health insights through genetics and microbiome testing, helping people understand their health risks and make better decisions about diseases, medication, and nutrition. They have recently launched two new products: PanOmiQ, a software that gives quick insights into the human genome, and BioSport, which offers personalized health […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
L2M-Developing detection kits for Deformed wing virus infection in honey bees

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 […]

Read More
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 […]

Read More