Manufacture companies use foam materials made of polystyrene to protect the goods during storage and shipping. However, polystyrene is plastic-based and made using crude oil, which is terrible for the environment. Used polystyrene foams are challenging to eliminate and occupy space in landfills for a very long period. This study investigates the manufacture of bio-composite […]

This project will produce mycelium-based bio-foams (MBFs) using waste materials and edible mushroom strains. MBFs are a type of eco-friendly material, which has the potential to replace EPS in terms of foam packaging properties. The manufacturing of the product is a self-assembling process, without mining natural resources and generating wastes. It can also be crushed […]

Pharmaceutical contamination of water systems poses direct threats to human health and the environment. Unfortunately, wastewater treatment plants are not always capable of sufficiently removing pharmaceutical contamination, particularly where drugs are disposed of in high concentrations – such as pharmaceutical manufacturing facilities. When some residual drugs are released into the environment they can persist and […]

Our main aim is to design and fabricate lightweight mechanical structures to show high energy absorption capacity with as low as initial reaction forces, electricity generation via embedding smart materials (piezo patches), and isolate external dynamic excitations. The designed mechanical structures could be applied in the automobile and motorcycle industries. In a car crash, the […]

Translation of scientific bench-top discoveries into a commercial enterprise can be one of the hardest transitions for academic groups. Additionally, there are very few therapeutic options for neurodegenerative diseases, and a great need exists for the development of new drug candidates to treat diseases, such as amyotrophic lateral sclerosis. Our proposal seeks to continue with […]

Timely diagnosis of dementia is a public health challenge within Canada. It is hoped that machine-learning empowered cognitive examinations might improve Canada’s response to the dementia population. This study proposed the validation of an automated cognitive examination, the Autonomous Cognitive Examination, which uses machine learning to evaluate users to evaluate previously difficult to assess inputs […]

Echocardiography is widely used for scanning cardiac patients to assess the health of their hearts. Despite its wide use, echocardiography suffers from a few limitations, including the limited field-of-view and longer scanning times. We propose a product using a collaborative robot arm to overcome these limitations. Our project allows scanning the heart from different locations […]

Construction sites are accident-prone sites and despite numerous efforts to reduce incidents, they continue to occur. Among others, fall accidents, in particular, account for the majority of these incidents, necessitating the implementation of proper management strategies. Traditional techniques for providing safety and preventing accidents are adequate and appropriate for improving safety, however, they are not […]

Power is typically transmitted as electricity in copper wires. This works well in many cases, but there’s a major drawback: electromagnetic interference can disrupt the power supply, which is detrimental for sensitive electronic devices. Another approach is to transmit power as light, which is immune to this interference. A laser converts electricity to light, which […]

Much of the performance in today’s computing devices such as mobiles, desktops, supercomputers, etc. can be attributed to concurrency – the ability to perform more than one task simultaneously. In addition, performance of software that run on such devices greatly benefit from the compiler (software that translates our code to be run by hardware) that […]

Les hydrures métalliques sont un moyen sûr et efficace pour stocker l’hydrogène. Ce projet porte sur une nouvelle classe d’hydrures, les alliages à haute entropie. Deux alliages seront étudiés : TiZrCrMnNi et TiZrVFeNi. Dans un premier temps des calculs théoriques seront effectués afin de prédire la structure cristalline et la capacité de stockage d’hydrogène de […]

Augmented Reality (AR) provides real-time interactive instructions to improve efficiency and accuracy of product maintenance processes. Although different methods have been proposed for the AR-based product maintenance, there is a lack of methods of automatic product disassembly and assembly planning under the AR environment. This project develops an AR-based tool for product maintenance instructions. The […]