The logistics industry faces significant inefficiencies due to lengthy planning and dispatching re-optimization processes, resulting in delays, increased compensations, and suboptimal transit times. These challenges arise from difficulties in assessing resource status, managing incoming requests, and coordinating communication between dispatchers, drivers, and resources. Our smart logistics optimization system leverages real-time data and advanced Artificial Intelligence […]

Breast cancer is a leading cause of female cancer deaths, but early detection significantly reduces mortality rates. Annual mammograms are common for women aged 40 and older, but those under 40 often go undiagnosed. False negatives are a concern, especially with dense breast tissue. Many women with detected lesions or genetic risk experience stress during […]

My technology introduces AsphaDots, a lubricant derived from asphaltenes-based carbon dots. This innovative product aims to address friction and wear issues in steel and related materials, commonly found in sliding, rolling, or contact interfaces in industrial machinery, as well as in natural and biological systems. Water-based lubricants have become alternatives to petroleum-based lubricants in a […]

Every technology today, from phones to EVs, rely heavily on lithium-ion batteries, which account for more than 90% of the world grid market. While these batteries make us independent of fossil fuels, we must remember that lithium is a finite resource, hence making it crucial for maintaining a secure Lithium supply and ensuring proper disposal […]

My project involves the development of sustainable and economical nanocomposite 3D material. The project aims to address the issue of pharmaceuticals and personal care products (PPCPs) contamination of wastewater. The presence of pharmaceuticals and PPCPs in aquatic environments has become a pressing global issue, endangering marine life and human health. PPCPs encompass a broad range […]

Following the relaxation of policies mandating COVID-19-related non-pharmaceutical interventions, Canadian paediatric hospitals experienced unprecedented volumes of patients hospitalized with acute respiratory infections (ARI) such as influenza and respiratory syncytial virus (RSV). Clinical presentations among these patients were often more severe, and patients were typically older and with fewer pre-existing conditions than expected based on pre-pandemic […]

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 […]

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 […]

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 […]

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 […]