The outbreak of the coronavirus disease (COVID-19) is a serious threat to humanity worldwide. It is known that COVID-19 is a respiratory infection, which can be transmitted from person to person via small aerosolized droplets. The goal of this project is to develop advanced functional graphene-based nanocomposites with robust antiviral and antibacterial activities. The graphene-based […]

Autonomous vehicles must be constantly aware of all aspects of the driving environment, and so are typically designed with both omni-directional and long-range forward sensor footprints. The ability to accurately detect, track and predict the motion of distant vehicles and pedestrians along the driving route remains a significant challenge, for today’s state of the art […]

The main goal of this project is to develop a platform that helps to optimal design of a power converter for switch reluctance motors. The research will focus on multi-domain models and multi-objective optimization routines. Due to the high complexity of developing such a tool, the component models will include loss, thermal, and cost aspects, […]

Porous Rubber Pavement (PRP) is a new type of permeable pavement in North America. It consists of stone aggregates, crumb rubber from recycled tires, and polyurethane as a binder. Due to a higher percentage of air voids (27% to 29%) and flexible nature, it offers extensive environmental and safety benefits, including improved stormwater management, reduced […]

One of the side effects of the COVI D-19 pandemic is that older people in institutional care tend to be more socially isolated and get less physical exercise. This is likely to increase falls risk both directly through reduced strength and balance because of insufficient exercise, and indirectly due to effects of depression leading to […]

This project proposes to optimize a map-based web application, which integrates numerous Open Data sets with data on the number of daily cases of COVID-19 in each public health region in Ontario. The platform will be able to merge data from the province’s Integrated Public Health Information System (iPHIS) and offer real time information to […]

Sudden Unexpected Death in Epilepsy (SUDEP), the commonest cause of death in epilepsy, is the most feared complication. SUDEP usually occurs following a seizure, most often in patients who are non-responsive to antiepileptic drugs. These patients are typically found dead in bed following respiratory apnea and cardiac arrest. Our group has shown that seizures in […]

Semi-active suspension systems (SASSs) are becoming more prevalent in passenger vehicles on the road. These systems have been demonstrated to improve ride and handling performance of passenger vehicles. This project will provide a means to subjectively evaluate the performance of SASSs using a dynamic driving simulator. A controller model of a SASS will be created […]

Advances in Whole Slide Imaging (WSI) and Machine Learning (ML) open new opportunities to create innovative solutions in healthcare and in particular digital pathology to increase efficiencies, reduce cost and most importantly improve patient care. This project envisions the creation of new automated ML tools including the design of a custom Convolution Neural Network (CNN) […]

Social connections, especially satisfying romantic relationships, are vital for health and well-being. Yet, couples are spending increasingly more time apart, limiting opportunities for connection and intimacy. However, engaging in shared novel activities (i.e. self-expanding activities) can help couples connect and maintain their relationship over time. Indeed, couples who experience more self-expanding opportunities in relationships feel […]

This project aims to develop an integrated wind and solar energy-based power system for the Caribbean region and show that the system will significantly reduce CO2 and MP2.5 emissions which have now been linked to higher incidence of COVID-19 deaths. It is intended to bring the potential investors to Canada out of this project to […]

Individuals with mood disorders suffer with a significant burden. Beside experiencing mood symptoms, they also have cognitive and functioning impairments, are at greater risk of suicide and hospitalization, and have a poorer quality of life. Traditional psychiatric assessments are subjective and not able to capture events in real-time. Smartphone assessments and digital phenotyping – the […]