Electroencephalogram signal enhancement using Nonnegative Matrix Factorization for BCI applications

The electroencephalogram (EEG) reflects the neural electrical activity and used in brain-computer interface (BCI) systems which provide assistive technologies for people with various disabilities. The proposed research is mainly focused to apply Nonnegative matrix factorization for EEG signal enhancement for BCI applications to mitigate the limitations of existing BCI system such as slow speeds, limitation […]

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West Bolton Sustainable Neighbourhood Retrofit Action Plan – home energy retrofit program

The West Bolton SNAP project will test methods for increasing the number of suburban households undertaking home energy retrofits in a neighbourhood of Caledon, Ontario with the aim of reducing residential energy consumption and the resulting GHG emissions. The Program will utilize locally targeted marketing, community events, and face-to-face Home Retrofit Consultations to engage households […]

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Using hyperpolarized 13P MRI measure in vivo pH of the placenta

Placental dysfunction is the leading cause of stillbirth, and assessment of fetoplacental health in utero is limited. Our goal is to use MRI to gain functional information of the placenta, specifically to measure pH as a critical indicator of placental health. Current methods of this use 13P MRS but are challenged by low signal-to-noise ratio […]

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Thermal Analysis of Poly-V Belt Transmission System

Nowadays, automotive companies are seeking to use prospective robust, light-weight, anti-corrosive and cost-effective composites such as fibre reinforced polymer (FRP), instead of traditional materials like steel or aluminum alloy, to make their products more competitive in the market. The sponsor company in this project, Litens Automotive Group, is investigating the feasibility of adopting FRP to […]

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Sustainable production of cellulosic ethanol from pretreated sugarcane bagasse using ruminal fluids extracted from ruminating animals

Increase in global temperatures, over dependence and depletion of fossil fuels to fulfill the human needs have forced the mankind to produce sustainable bioenergy. Plant biomass which contains lignocellulose polymers constitutes the most abundant components on the earth’s surface. Naturally, enormous amounts of cellulose are digested by the cattle and this process of digestion is […]

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Modelling Guidance for Seaton Lands Urbanizing Watershed

Stormwater from urban areas has continuously contributed to degradation of stream health in Ontario, despite a number of measures being put in place for new developments. More recently, a Low Impact Development (LID) approach, aimed at controlling the rain runoff at the source, has been promoted and implemented. This project will focus on developing a […]

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Mobile Robotic Platform for Autonomous Data Collection on Large Complex Construction Projects

Autonomous data collection on construction sites has increasing potential to replace manual surveying methods, which are expensive, non-scalable, and potentially dangerous for the workers involved. In the proposed research the intern will work with industry partners Veerum and Clearpath Robotics to advance the technology which is needed to conduct autonomous data collection on large construction […]

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Advanced Materials and Technologies for Medical Imaging Detectors and Techniques

The proposed Mitacs program will provide internships for six graduate (thesis-based MSc and PhD) students, and two Post-Doctoral Fellows (PDFs) in a competitive R&D environment at the Thunder Bay Regional Health Research Institute (TBRHRI) – Canada’s newest health research institute. Interns will be involved in research projects which aim to develop and commercialize the next […]

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Lifestyle and cognition: a large-scale approach

Online cognitive testing provides unprecedented opportunities for exploring human brain function among the general population. Cambridge Brain Sciences Inc has created an online cognitive testing platform that has attracted more than 1.5M users and has hosted more than 300 studies of cognition. I plan to leverage their unique dataset to explore the interrelationship between demographic […]

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