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 […]

Environmental forensic investigations endeavour to identify connections between environmental pollution and polluters. There assessments are integral to legal cases spanning pollution from accidental spills to illegal disposal of chemical waste. A common challenge is the investigation of complex contaminant mixtures that may have multiple polluters or where only part of the complex contaminant mixture are […]

This project explores the mental health impacts of COVID-19 on racialized women in the workforce in Ontario. As groups overrepresented in poverty rates, unemployment rates, and low-waged and precarious work prior to the pandemic, racialized women are more likely to experience poor or negative mental health and wellbeing during the pandemic. Despite being one of […]

COVID-19 is an unprecedented public health emergency affecting every industry. As we wait to develop treatments and vaccines to protect individuals from COVID-19, we must develop strategies to protect workers in Canada’s vital industries. In the absence of any adaptation strategy, risk of infection will continue to threaten the health and safety of workers. This […]

This project will look at the career aspirations and confidence of engineering students in their first year of studies. The data to be analyzed comes from a survey of first year students collected as part of a co-op prepapration program. The data will be analysed to look for differences by gender, international and student status, […]

Bridges are critical infrastructure assets, which connect transportation networks for the delivery of goods and services and are vital links for first responders. The goal of this research is to advance the state-of-the-art in innovative and cost-effective solutions to monitor the condition of bridge infrastructure using a low-cost sensor network and an intelligent robotic machine, […]

The proposed project is aimed at adding smart contract and sharding functionality to the Dandelion network, improving cryptographic efficiency with aggregable signatures under the BLS signature scheme, identifying a roadmap to a Quantum Resistant aggregable signatures, and mathematically proving the safety and liveness properties of the extended system using TLA+ proofs. This improve the platforms […]