The production of cement contributes to 8% of global CO2 emissions resulting in a pressing need to develop strategies for reducing the use of cement. This research project focuses on reducing cement use by improving structural efficiency. In order to fully understand the behaviour of these efficient structural elements and ensure that they will provide […]

We propose to develop and evaluate a clinical decision support systems (CDSS) for the Princess Margaret Cancer Centre (PMCC) lung metastases multidisciplinary tumor board (MDT) to improve the consistency and quality of MDT decision-making. We will develop and train a machine learning-based (ML) classifier, using historical decisions data from lung cancer MDTs to model the […]

Climate Change (CC) mitigation and reduction requires a strong effort to develop and put into use clean energy options that significantly reduce anthropogenic CO2 emissions. In Canada, the transportation sector accounts for 25% of all emissions. Hydrogen fueled vehicles is one option that has a great potential to reduce Canadian and global CO2 fuel emissions. […]

Membrane-based separation technologies are increasingly finding broad industrial applications such as remediating natural water sources and industrial or municipal wastewater, and desalination. Compared to hitherto separation processes, they are relatively energy-efficient and cost-effective. However, dissolved and suspended solids in the feed stream can foul membranes which remains a major challenge and hinders industrial adoption. In […]

Concrete—the most common construction material in the world—represents the main component of construction. Aggregate materials normally occupy about 70% of the concrete volume and their production results in excessive emission of carbon dioxide. One potential solution to reduce the carbon dioxide emissions from the construction industry is to use the newly developed bio-resin Biofusion in […]

Welding robots have been employed in pipe connections for some time. However, robotic welders for pipeline welding have not been fully developed for massive pipeline connections. Because most current industrial welding robots are giant and stationary, workpieces have to be transferred to the robot’s site for welding, which is impossible for pipeline connections. In addition, […]

Large ships routinely pass through the St. Lawrence Seaway. These ships generate waves that could exacerbate erosion of the St. Lawrence River shoreline. This research project will measure waves continuously during a shipping season and simultaneously measure turbidity of the nearshore water to link ship waves to sediment mobilization events. Bank line recession rates will […]

The transportation sector is responsible for 25% of Canada’s greenhouse gas emissions and efforts to address climate change by electrifying transportation will reduce the demand for gasoline and diesel fuels. At some point in the decline internal combustion engine (ICE) vehicle owners will face the same challenges that have plagued electric and hydrogen vehicle owners […]

In waste-to-resource processes, variations in operating conditions are common, to accommodate varying process objectives and ambient disturbances. In these cases, well-tuned operating conditions are disrupted, and correlations among process and quality variables are broken, leading to unexpected outcomes. Due to large number of involved variables and their complex relations, it is challenging to re-tune system […]

The aim of this research is to introduce a novel tremor suppression device capable of attenuating both Parkinsonian and Essential tremors. The approach taken involves treating tremors as vibration challenges and applying the theory of a vibration absorber to design and optimize the novel device. Detailed analysis of vibration absorption is used to identify key […]

The current study aims to develop a new workflow for occupancy schedules estimation using WiFi sensing technology and utilizing different machine learning and deep learning algorithms. Aerial will provide preprocessed CSI data, occupied and non-occupied time series, and activity level time series to be used by intern for extracting occupancy presence pattern, the number of […]

Le développement rapide des technologies de l’information et des capteurs au cours des dernières années a eu un essor de plus en plus important dans le secteur automobile afin de rendre la conduite plus sécuritaire. Les systèmes de sécurité active en milieu automobile visent à éviter les collisions plutôt que de mitiger leur impact sur […]