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 […]

The goal of this research project is to identify where Indigenous Knowledge differs from how the province of Ontario understands and manages winter moose habitat, in order to better protect moose populations in the Northeast Superior region. Additionally, new and improved forest inventory data in the region will be investigated as a potential tool to […]

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. […]

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 […]

Screening spontaneous reporting (SR) or electronic health records (EHR) data sets for adverse drug reactions (ADRs) has become an important component of drug safety. Much methodological work has been historically done on SR data, however, novel approaches are continually being suggested which merit critical review. Thus, we will first investigate some of these approaches as […]

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 […]

Sugar alcohols such as Xylitol and Sorbitol are an abundant and renewable carbon resource obtained from plant-generated sugars and starches or – preferably – the breakdown of (hemi-)cellulose into the soluble sugars Xylose and Glucose. Already established industrial processes currently running at > 2 million tons/year allow the facile conversion of these sugar to the […]

While 3D printing has been hyped as the solution to the current shortage of organs available for implantation, the very limited scope of hydrogel-based “inks” that are available to print an implant has limited the practical implementation of 3D printing in regenerative medicine. In this project, we will combine the materials expertise of the Hoare […]

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 […]

Quantum Machine Learning is an emerging field of science, exploring the role that quantum computers can play when combined with machine learning models and methods. Within this field, kernel methods have quickly become one of the most promising and exciting techniques to show benefits in performance, even when using the current primitive quantum computers that […]

This project aims to tackle the challenge of finding different ways Viva could optimize its existing work processes to generate maximum results, as well as innovating in the marketing domain. This requires the intern to observe technical insights such as user interaction and behaviour, as well as traffic across various virtual platforms. This understanding would […]