An Artificial Agent for Light Switch

Smart home devices with artificial intelligence (machine learning and deep learning) will change our lifestyles in the near future. The objective of this project is to develop an artificial agent, which will power the smart light switches produced by ecobee. The artificial agent, a machine learning program, will use the data collected by the sensors […]

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Hand Pose Reconstruction Based on Fast Multi-Touch Sensors

Serving as the most widely-used body part for communication, hand is a very important tool for human to interact with the world. Especially with the continuing development of virtual reality and augmented reality, hand pose information has gradually become an indispensable component for improving users’ experience in interacting with computing devices. Therefore, this project aims […]

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Automated Model Tuning for Retail

Artificial intelligence, especially Machine learning algorithms, plays important roles in building recommendation systems and promotional forecasting systems for retailers. However, training a machine learning model requires the choice of a number of significant features and requires tuning a large set of configurations. Therefore, it takes a long time for humans to find the optimal configuration […]

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Segmentation of 3D microscopy images

In-vivo imaging provides a unique opportunity to examine complex cellular activity in live tissue. Images produced by these experiments are difficult to analyze manually, typically applied to mono-layer cell culture assays (i.e. cells in a dish). Recent advances in deep learning enable the opportunity to analyze these in-vivo tissue images with greater efficiency and accuracy. […]

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Intra-operative Error Detection on Surgical Video based on Computer Vision Analysis

The intra-operative errors that occurs in adverse events have been a major concern in healthcare and surgical industry. Conventionally, error-event assessment is done by peer surgeon review, which is time consuming and costly. With the advances in machine learning and computer vision techniques, it is possible to keep track of the operation surgical procedures based […]

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Recommendation system for retail shopping

People rely on recommendations from other people, friends’ word, news reports, and travel guide and so forth. Recommendation systems assist people to sift through available books, web pages, restaurants, and grocery products. [16]. We want to build a recommendation flow in the retail industry to serve Canadian citizens better. The system will understand the customers […]

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Quantitative risk measurement techniques for insurers

This project will assist Sun Life Financial to build, implement and validate quantitatively sophisticated state-of-the-art models of its risk portfolio. This will result in a better quantitative and qualitative understanding of company’s risk, liability and capital profile, and thus in more effective risk management decision making process.

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Equity in learning opportunities: Reexamining issues of poverty

For the past fifteen years, People for Education has surveyed schools about measurable resources in order to understand the impact of policy on schools, and to track changes in the education system. Public education can and should play an important role in reducing the extent to which students’ socio-economic background affects their performance in schools […]

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Role of Fluid Redistribution in the Pathogenesis of Sleep Apnea

Obstructive sleep apnea (OSA) is a common respiratory disorder in adult popUlation where it increases the mortality risk. The main treatment of OSA is continuous positive airway pressure and although it is effective in most cases, many cannot tolerate it. Therefore, it is important to develop new treatments for sleep apnea. We have proposed that […]

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Greener Routes to Value-Added Fluorocarbons by Metal-Catalyzed Reactions

The current production methods for new generation refrigerants (HFO-1234yf) used in cars, refrigerators, air-conditioners, etc. require energy intensive and sometimes corrosive conditions. The current project seeks to reduce or eliminate these two caveats. We propose, by using readily available feedstock or by-products from Teflon manufacturing, we could use our process to easily manufacture HFO-1234yf. Using […]

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North Coast Innovation Lab

The two internships proposed in this application are for research and feasibility project coordinators for the North Coast Innovation Lab (NCIL) in Prince Rupert, BC. In addition to research and feasibility around potential projects that will a) grow the local economy for fish and marine products, and b) enhance coworking and resource sharing, the internships […]

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