Neural networks support software engineers in their tasks and activities. For example, in the automotive domain, neural networks support automotive software by detecting other vehicles and their distance from the ego vehicle. Unlike other software systems that the engineers manually program, the neural network’s behavior is defined by its training data. Since the behavior of […]

The most employed treatment for decayed teeth is restoration with resin-based filling materials. Longevity of resin fillings is considered low, around 7-10 years. Replacement of resin fillings accounts for 75% of all procedures performed in general practice, of which 60% are due to failures at tooth-filling interface. This happens because during bonding procedure the tooth […]

Carbon Capture and Storage (CCS) is essential for reducing greenhouse gas emissions, but traditional metal pipelines used to transport CO2 are prone to corrosion, especially in environments with impurities like H2S and SO?. This project aims to create advanced plastic-based pipeline systems that are more durable and cost-effective. We will develop multi-layered polymer designs combining […]

Airlines take the extra effort required to figure out what is the best route that their aircrafts should take so as to minimize additional costs from non-revenue flights or idle time. One way to di this is to first generate large numbers of feasible routes and then assign flights to a subset of them so […]

The Open Ice Project, initiated by the Future of Hockey Lab, addresses the growing issue of limited access to ice time across Canada. Rising costs and outdated management practices are shutting Canadians out of hockey, figure skating, ringette, and other ice sports. Without a system to allocate ice time equitably, many communities, especially underrepresented and […]

My research project into Mexican Avant-garde music for solo cello (written between 1962 and 2012) attempts to define and evaluate what Mexican Cello Solo Music is and how it has evolved over the years to the point of exerting a significant influence on the universal cello solo repertoire. (This discipline belongs to a category of […]

The proposed project aims to harness the power of Artificial Intelligence (AI) and machine learning to develop a predictive model that assists in predicting delinquency in financial contexts. By integrating AI and predictive modelling approaches, the project seeks to enhance the accuracy, efficiency, and interpretability of delinquency predictions within the residential mortgages space. The focus […]

Ellustros has developed an App and SMART Chair to provide an automated ergonomic office solution using AI and IoT technology. The app uses real-time data to assess optimal posture and automatically adjust the SMART Chair to ensure comfort, efficiency, and reduce the risk of injury. At this stage of the product development, the business model […]

Tropical forests house an exceptionally high biological diversity and despite great interest in factors that might drive the formation of high species richness, little is understood about how this diversity arose. In the Neotropics, rivers appear to delimit the geographic ranges of closely related avian species, and are generally believed to have been important in […]

challenges such as long wait times and overcrowding. These delays impact patient health and strain healthcare resources. This project aims to address these challenges by enhancing SiMLQ, a cutting-edge software tool that uses data to simulate and optimize ED operations. Using real-world data from Erie Shores Healthcare Center as an example, the project will develop […]

The project focuses on advancing the production of high-quality, cost-effective two-dimensional (2D) nanomaterials, such as graphene, hexagonal boron nitride (h-BN), and molybdenum disulfide (MoS2), by optimizing the Compressible Flow Exfoliation (CFE) process. This innovative technique has the potential to replace costly fabrication techniques, significantly reducing production costs without compromising material quality. Through this collaboration, the […]

This Mitacs Business Strategy Internship project unites Intact Insurance’s extensive insurance data and industry expertise with Western University’s Banking Analytics Lab’s advanced skills in deep learning, actuarial science, and data analysis. The project’s goal is to build an unsupervised deep learning model for detecting significant changes in claim patterns, surpassing the limitations of traditional change-point […]