Autonomous Energy System; Scalable, Flexible, Light and Low Cost

Nowadays the most rewarding aspect of engineering is to create solutions to the needs of society in a natural and resource efficient manner, therefore we must come up with more innovative and resource efficient solutions. One such solution can be a novel scalable autonomous energy system, which integrates Organic (polymer) based photovoltaics (OPVs), high density […]

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Preventing Risk for Metabolic Syndrome in Workaholics: An Intervention

Tendencies towards workaholism have been linked to poor health and increased risk for diabetes and other chronic condition. A health improvement program that is interwoven within the workplace and leverages the ubiquitous use of smartphones has good potential of benefiting the workforce. The aim of this research project is to evaluate Transform, a digital health […]

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Understanding Real-time Particle Systems for Health, Entertainment and VR

The proposed research is a collaboration between Persistant Studios’ PopcornFX and SFU’s iVizLab to collaboratively work on ways to understand the processes involved in content creation using a real-time particle system. The iVizLab’s research focuses on using real-time visuals with the biodata from the users as one of the main interfaces to create affective systems […]

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VR-based testing station for impairment screening

In this project, a VR-based testing station for impairment screening will be implemented. The station includes a Virtual Reality (VR) goggle (to be updated to Augmented Reality, AR, later), biophysiological measurement sensors, and an integration algorithm to integrate the result of measurement with scene construction of the VR system to implement dynamic scene rendering. The […]

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Optimizing heuristics for spin-glass problems for diverse solutions

Optimization problems, such as finding the shortest or fastest path to a destination are ubiquitous in industry. Hower, for some industrial applications it may be desirable to have a set of few diverse, yet nearly optimal solutions. The goal of this project is to create new optimization problem solvers that focus on both quality and […]

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Development of Efficient Methods Preprocessing Large Lidar Data Sets for Application to Road Design and Optimization

Technological improvements, competition in the survey services industry and the increased use of UAV’s (drone) has driven down the cost of LiDAR acquisition. As a result, LiDAR is rapidly gaining popularity in application in road planning and design. LiDAR data sets typically contain tens of millions of points. Efficiently processing this data efficiently presents challenges […]

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Transmodal sensory integration in Autism

Autism spectrum disorder (ASD) is characterized by social and communication impairments and by restricted and stereotyped behaviors. Sensory processing alterations seem to have an important toll in ASD individuals. In the present study, ASD and typically developing (TD) children between 8 and 12 years old will participate in a task involving visual and auditive integration […]

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Idiosyncratic processing of complex information in autism

Autism spectrum disorder (ASD) is a highly prevalent neurodevelopmental disorder characterized by social communication deficits, restricted interests and repetitive behaviours. Accumulating evidence suggests neuroimaging to have a great potential in clarifying the neurological bases of ASD. In this project we will use magnetoencephalography (MEG) to investigate the neuromagnetic mechanisms of information processing in typical and […]

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Development and application of molecular tools to assess the acute and chronic impacts of petroleum hydrocarbons on birds

The Northern Gateway Pipeline and similar projects propose to transport oil from Alberta to tidewater terminals in British Columbia and eastern Canada. Accidental release of petroleum distillates and related by-products would have consequences on the marine ecosystem. To evaluate spill implications for seabirds, we propose to develop and apply molecular tools to assess toxicological and […]

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Improving Receipt Classification Through Text Processing

10sheet is a third party software company aimed at providing easy bookkeeping to client companies. One of the steps in bookkeeping is classifying receipts based on their content. Without relying on a human bookkeeper, 10sheet uses a classification algorithm to build an automatic classifier for this purpose. However, such a classifier needs to have a […]

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Pan-Canadian Survey of Education Funding Structures and Processes

Across Canadian provinces, there is little standardization or coordination in terms of public education financing. As such, there is no coordination or standardization in public education across Canada. The IPE/BC is interested in producing a report that outlines the diverse funding models used across Canadian provinces and territories. The aim of this project is to […]

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