Currently, the service provided by GRAD4 has an interface for visualization of CAD models. However, there is still room for improvement in speed and comprehensibility for the users: both manufacturers and buyers. The main challenge of implementing the improvements is in relatively high computational cost of such visualizations: while a regular PC handles such task […]

The historic events of the spring of 2020 – the collision of the worst public health crisis in a century and the largest Black civil rights movement in half a century – offer a unique opportunity to examine how the frustrations and hopes of Black young adults were affected. We sought to understand the potentially […]

academic sphere, and limit interactions with the stakeholder community. This project promotes meaningful collaboration for the co-construction of knowledge around Parkinson’s disease (PD), using the performing arts as an interactive tool for knowledge translation. Piece of Mind brings together researchers, performing artists, and persons affected by PD to create a performance piece based on scientific […]

This Ph.D. study will focus on simulating and validating soil flow behavior models using numerical terramechanics for three distinct applications of soil flow behaviors from operations of construction equipment: hauling loose material (wheel loader), excavation of soil (backhoe loader/excavator) and pushing large quantities of soil (bulldozer). Numerical terramechanics models will be compared with DEM models […]

Most Canadians live in the urban regions, and most Canadian cities receive snow every year. For instance, Montreal receives about 2.3 meter of snow every year. This snow accommodates various human-made pollutants in cities and accumulates over long Canadian winter. This application to support an intern which will be involved in a collaborative project with […]

This project will allow us to develop a microelectronic chip prototype of an energy-efficient AI processor. The AI processor exhibits a 1000 times reduction in power profile compared to standard cloud-based GPUs. Tasks that can be transferred from server GPUs to this solution and deploying our AI-Processor solution to EDGE can estimate substantial energy savings […]

Most academic literature and practices in the real estate industry use traditional valuation models to predict house prices. While machine learning models have been used more heavily in the finance literature, it is less applied among real estate researchers. While traditional property valuation models rely on simple relationships between the price of a property and […]

Ananda Devices has developed an innovative technology to produce high-throughput organ-on-chip technology for commercialization in the pharma industry and cosmetic industry. For cost effective and fast commercializing the device, semi automation/automation is required for the high throughput data analysis. Further validation of the automation algorithm is required for data accuracy. So, our aim is to […]

AIM Colours is looking to revolutionize self-expression by combining cosmetics with technology through the creation of eCosmetics. We envision eCosmetic applications as devices that can be continuously colour-manipulated from any mobile device, creating a world where anyone can be empowered by make-up instantaneously. These project requires the seamless integration of engineering and chemistry, especially since […]

A novel medical device is designed and built by the partner organization. The medical device must go under certain safety tests during the manufacturing process, which are currently performed manually. However, manual tests are too time consuming due to the special structure of the device. On the other hand, the device is now being approved […]

There is a need for a standardisation of lean visual management practices on construction sites to improve transparency of the work process, incorporating information into various workplace activities, ensuring predictability in micro-decision making and maximising collective intelligence. In this study our main aim is to identify existing VM conditions and the role of an innovative […]

Identifying an optimal routing, that ensures a delivery passage between suppliers and vendors, with a minimum cost while respecting the various constraints (including shortest delivery, availability of fleets and routes, traffic, etc.), could be a challenging task. This is mainly due to the need to solve a combinatorial optimization problem with discrete choices of pathways […]