A theory: Exploring computational thinking in language learning

Computational thinking is a term emerged in recent years and it is used in education to describe the thought process of formulating and solving a problem like a computer. It is considered a fundamental skill, and is usually used in STEM, science, engineering, and social science and humanities; however, there is little literature on how […]

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Energy Efficient 360 Video Processing for Portable VR-Technologies

This project focuses on the energy consumption of modern virtual reality applications. The target devices are virtual-reality-glasses that can be worn on the head and that simulate a virtual 3D environment to users. Most modern devices are still rather heavy, uncomfortable to wear, and attached to a powerline such that the user experience can still […]

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Analysis and Integration of Real-Time Mobility Data for the Cascadia Corridor

In order to design and operate more efficient urban transport infrastructure networks along the Cascadia Corridor, improved spatial and temporal data is required to understand travel activity patterns. The integration and comparative analysis of new data sources including: electronic transit ticketing (Vancouver Compass Card, Seattle Orca Card), geospatially tagged social media, smartphone travel diaries, and […]

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High Average Power – Frequency domain Optical Parametric Amplifier (HAP-FOPA)

The goal of this proposal is to make the most advantage of the recently developed technique of Frequency domain Optical Parametric Amplification (FOPA) by pushing this technology to unprecedented levels. The IP has been protected by the group of prof. François Légaré from INRS-EMT. The main inventor, Bruno Schmidt, has founded few-cycle Inc. to commercialize […]

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Machine learning prediction on embedded systems

Machine learning (ML) applications have shown remarkable performance in vanous intelligent tasks but high computational intensity and large memory requirements have hindered its widespread ubhzation in embedded and Internet of things devices due to resource constraints. Many optimization techniques have been proposed previously for domain specific architectures. These optimizations will affect an embedded device differently. […]

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Étude sur l’utilisation des jeux vidéo chez les enfants de 4 à 12 ans

Notre étude a pour objectif d’évaluer les habitudes de jeux chez les enfants âgés entre 4 à 12 ans. Nous souhaitons préciser les profils de joueurs et les types de jeux en fonction des tranches d’âge et du sexe, mais aussi de comparer l’usage entre des enfants avec et sans difficultés développementales. Nous aimerions aussi […]

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Learning Generative Models of Images and Patterns

This Project is an continuation of our SIGGRAPH Asia 2017 paper on “Learning to Group Graphical Patterns”. The paper introduced a novel deep learning approach for grouping discrete patterns common in graphical designs. The approach was based on a convolutional neural network architecture that learns a grouping measure defined over a pair of pattern elements. […]

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Complete classification of Littlewood cyclotomic polynomials

The objective of this proposal is to study Littlewood cyclotomic polynomials of odd degree. In algebra, the cyclotomic polynomial is one such that has all its roots on the unit circle. Since all the coefficients of Littlewood polynomials are -1 or +1, its associates a finite binary sequence with -1 or +1 entries. Therefore, their […]

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Extending and Deploying the Social CheatSheet Plugin

This project will expose the intern to key design, implementation, and evaluation research activities in human-computer interaction (HCI). We have recently started exploring the concept of social curation of software help content by developing a novel web-based platform, Social CheatSheet, that overlays relevant community-curated instructions and multi-step tutorials atop any web application and offers an […]

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Model-Aided Performance Analysis from System Traces

System performance can be analyzed by measuring its operation, and by studying a performance model. Each has advantages: measurements have fidelity to the actual system, while models have predictive power. This work will join the two approaches, by creating a model from data collected from traces. If successful, this model will help Ciena to understand […]

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Process & Place: A study of heritage value in building deconstruction and material reuse

The proposed study expands on my ongoing research into the intersection of heritage conservation and the generation of architectural waste. Specifically, it understands the relationship between building demolition and heritage conservation to be both technically and conceptually linked. With this, the study addresses the “crisis of accumulation” both of heritage sites (Harrison, 2013) and growing […]

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