Currently, burning fossil fuels such as coal, oil, and natural gas as a primary source of energy is a contributor to rising atmospheric carbon dioxide and climate change. Fuel cells are a promising environmentally friendly technology for sustainable clean energy, where the only byproduct is water. An important component of fuel cells for generating electricity […]

Contamination of soils and groundwater with gasoline often results in the development of anaerobic zones. Benzene is particularly persistent under anaerobic conditions even in the enhanced anaerobic biodegradation (EAB) process. Degradation of benzene has been demonstrated under nitratereducing condition, and sulphate-reducing condition. However, information of dominant indigenous species within the microorganisms for degrading benzene is […]

House price valuation and forecasting are considered as critical urban problems that aid individuals and organizations to execute a variety of property-related practices such as property purchase and selling, taxation, and mortgage property. This project aims to collect appropriate features for house price modeling and to develop a combined machine learning-graph modeling approach to have […]

Eli Health is developing a novel biosensing device to monitor sex hormones in saliva and a mobile application that leverages machine learning to interpret them. The mission of the organization is to enable women to take control of their health across their lives. It will first commercialize the device for fertility and contraception applications. In […]

During the COVID-19 pandemic, it’s become quite apparent that mental health needs to be prioritized. Due to the demands of social isolation, getting adequate mental health support can be difficult. However, the mobile application Rootd provides a low-cost and large-scale solution to this problem, as it can help the average person deal with increased anxiety […]

The objective of this proposal is to develop a new candidate recombinant protein vaccine for the new coronavirus disease 2019 (COVID-19) based on a novel protein delivery and adjuvant technology, iPDT. If successful, this research will advance another COVID-19 vaccine candidate(s) to the pipeline toward clinical use. The causative agent of COVID-19 is SARS coronavirus […]

Age-related macular degeneration (AMD) is a leading cause of blindness that is estimated to affect over 6 million people globally. There are currently no approved treatments for dry AMD, the most common form of the disease. Various lines of inquiry suggest that dysregulation of a part of the innate immune system called complement plays a […]

This work is a holistic automatic methodology for cloud resource management system, which is a corner stone to build any cloud system. Cloud players rely on this to reduce management effort and cloud running cost, by enabling dynamic service access to cloud clients with cheapest price for customer, and high revenue for cloud providers. Customer […]

In this project, a key research project for the robotization of the timber building construction is proposed. By developing a full-scale robotic cell for mass timber walls and showcasing its benefits compared to current manual situations, in terms of safety, quality, productivity and so forth, we expect to support the introduction of robotic cells in […]

Given the public health-care system in Canada, many drugs are paid through by the provincial drug plans. Our government makes decisions on which drug to pay for through a process known as health technology assessment whereby manufacturers submit a document that details the clinical, economic and other aspects (e.g. ethical, social) relating to their drug. […]

Electrovestibulography (EVestG) is a novel neural diagnostic tool to identify various neurological disorders. The signal amplitude of interest in EVestG recordings is in the sub ?V range; therefore EVestG demands a very low noise signal acquisition protocol. The proposed research is to design, develop and validate an artificial ear-canal that simulates the electrical noise conditions […]

This project aims to develop a retail demand forecasting model that can both handle the long-term and short-term forecasting, and adjust its parameters as more data come in. General long-term prediction models are relatively precise because the context often remains same over time, but can not quickly adapt to unforeseen events, like the global pandemics. […]