Development of an Agent-Based Market Simulator

Financial markets today are monitored and controlled by artificial intelligent algorithms. Developing these artificial intelligent algorithms requires a large amount of testing against complex patterns and phenomena observed in stock market. The main objective of the proposed project is the development of a market simulator. This is highly challenging and yet promising direction that will […]

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Optimization of Long Term Quantitative Market Predictions

Financial markets today are monitored and controlled by machine learning algorithms. The primary objective of this project is to further develop the algorithm for financial market analysis and prediction that the partner possesses at the moment. The algorithm currently demonstrates high accuracy, subject to certain constraints, among which: a small time interval between a prediction […]

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Exploring document navigation and interaction on mobile devices

Title of the project: Exploring document navigation and interaction on mobile devices Sponsor organization: PDFTron Systems Inc. Intern: (AMY) Xiao-Ming LI Supervisor: Hao (Richard) Zhang School of Computing Science, Simon Fraser University Description: PDFTron Systems Inc. specializes in PDF, SVG, XPS and other graphics technologies. Based on the success of its product – PDFNet SDK […]

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Development of a model for computational sea ice monitoring

The proposed research project focuses on the development of a novel model for the computation of sea ice parameters in near real- time relying on satellite data. The interdisciplinary team will investigate solutions for high performance computing to monitor sea ice and calculate ice parameters with the high spatial resolution. This project includes R&D activities […]

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Global ground stability mapping with radar satellites

3v Geomatics (3vG) processes tens of thousands of radar satellite images annually to measure ground stability over time. The image processing pipeline demands very high storage and computation resources. The goal of this project is to enhance this pipeline so it can deliver better results faster. First, the project will profile and identify efficiency bottlenecks […]

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Social Game Analytics: Using Metrics to Improve Player Engagement

In this internship we aim to develop an analytics system that targets quick conversion of game data to knowledge that allows game designers to quickly grasp the sources of engagement and disengagement of users while interacting with video games. This proposed system can benefit Blackbird Interactive Inc. by providing a method to tune their designs […]

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Non-contact vital sign detection of the newborn

Medtronic is a global leader in medical technology and biomedical engineering, working towards non-contact vital signs detection. This technology would be especially helpful in the case of high-risk or premature newborns. Continuous or at least frequent monitoring of newborns outside of clinical environments improves quality of life for parents and newborns recently discharged from the […]

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Non-contact vital sign detection of the newborn – Year two

Medtronic is a global leader in medical technology and biomedical engineering, working towards non-contact vital signs detection. This technology would be especially helpful in the case of high-risk or premature newborns. Continuous or at least frequent monitoring of newborns outside of clinical environments improves quality of life for parents and newborns recently discharged from the […]

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Wide area Motion Monitoring System (WAMS)

Noise interference is often a major challenge in signal recognition. In this project, our goal is to monitor ground and infrastructure movement based on data acquired using smart sensor technology. While related works have been extensively discussed in the literature, our contribution lies in exploring a reverse engineering procedure to remove noise from raw captured […]

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Towards a Universal Cloud-based IoT Platform for Smart Applications

With the Internet of Things technology, a multitude of small devices and sensors are connected to the cloud and social networks using the Internet. These devices generate a huge volume of data, which can be used to discover trends and profiles. This enables building diverse useful applications for our modern society. This project is a […]

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Enhancing Recommendation Engine for Open Source Software with Community Structures and Copulas

In the constantly expanding world of open source software and services, developers find it increasingly difficult to choose open source that is compliant, secure and reliable. There are millions of open source software and services publicly available today, and compliance, security and quality related information is extremely difficult for developers to find, making mindful selection […]

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