Statistical and Physiological Beat Modelling of Seismocardiogram Signal – Year 2

“Seismocardiogram (SCG) is a signal that is captured by placing an accelerometer on the human chest. This signal captures very important timing information such as opening and closing of the heart valves. In addition to these timing information, the non-invasive nature of this signal makes it an attractive solution for remote monitoring of patients with […]

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Assessing the validity of virtual simulation as a learning tool in the medical field.

With the increasing prevalence of mobile devices, it is unsurprising that they are also being adapted for use as tools for learning and perfecting complex procedures. One of these uses is training health care providers through simulated medical procedures. Two important points should be considered when designing simulated systems to assess the efficacy and efficiency […]

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Large-Area High-Performance Transparent Electrodes for Pen/Touch Sensor Research

Transparent electrodes (TEs) combine high optical transparency and electrical conductivity, useful in different devices such as light-emitting diodes, displays and solar cells. A highly competitive market of electronic devices, such as phones and flexible touch screens as well as a worldwide increasing demand for energy, drives research to improve the performance of TEs. However, mass […]

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Large-Area High-Performance Transparent Electrodes for Pen/Touch Sensor Research – Year 2

Transparent electrodes (TEs) combine high optical transparency and electrical conductivity, useful in different devices such as light-emitting diodes, displays and solar cells. A highly competitive market of electronic devices, such as phones and flexible touch screens as well as a worldwide increasing demand for energy, drives research to improve the performance of TEs. However, mass […]

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Synchronicity between phytoplankton and zooplankton phenology in the Salish Sea

The Salish Sea is a highly productive, dynamic coastal ocean with substantial temporal and spatial variability at lower trophic levels (e.g. phytoplankton and zooplankton). This variability, in turn, may directly impact resident and migratory fish populations that are of major economic importance in the region. The main goal of this research is to investigate the […]

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Optimization of novel drugs to treat cardiac arrhythmias

This project aims to validate and optimize drugs to treat heart rhythm disorders. The heart is a complex organ that uses tiny electrical signals to maintain a healthy rhythm. When these electrical signals are disturbed, it can change the regular rhythm, which can result in life-threatening consequences such as sudden cardiac death. Here, I will […]

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Game private networks and game server performance emulation and evaluation

This infrastructure will allow new servers to be automatically deployed and configured for use as private game servers, while also monitoring their performance and usage statistics. By using the novel predictive models, which are to be developed in this proposed project, new virtual servers will be automatically created and added when the traffic levels require […]

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Monitoring the genetic health and structure of Grizzly bear populations in British Columbia to inform ecotourism and resource management

Grizzly bears represent a valuable economic, ecological, cultural and symbolic resource for British Columbia. In order to preserve this resource the current population of brown bears needs to be monitored to ensure the health of the population. One marker of health is the genetic health of the population. Genetic monitoring can also tell us important […]

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Foundation design system for FortisBC’s power poles

Traditional design method for the foundation of the transmission poles simply assigns a standard set of depths based on the length and diameter of poles. Although, this method has proven to be conservative and reliable, but it does not incorporate site-specific soil properties, water table, and weather conditions in its calculations. As a result, a […]

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A GIS tool for identifying and optimizing road access and transmissioninterconnection for generation resource options

Renewable energy resources, such as run-of-river hydro and wind, are often located in remote areas unserved by existing roads and electricity transmission. In order for these resources to be developed, this supporting infrastructure must be built. This project will wind a way to determine the best road and transmission connection options for different potential renewable […]

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Developing Prediction Models on London Stock Exchange (LSE) Equitiesand Indicies using Microsoft Azure Machine Learning and Data Mining

I am to import ten year’s worth of amassed historical data on news events, price movement of equities and public sentiment metrics to Microsoft Azure platform for study and analysis through the latest Data Mining techniques with an Economics point of view to uncover the hidden correlation and casualty between events and price movement of […]

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