The central research question of this project is: how does the normalization of voice-controlled technology in domestic space change the meanings attached to home? The project will focus specifically on Amazon’s Alexa-enabled smart speakers by analyzing how online discourse surrounding the device and software impacts understandings about traditional domestic values, such as privacy and the […]

The project will involve making and designing reference parts, and then producing 3D scans of those parts and providing some measurement analysis. Documentation on collection and safety must be followed throughout. 3D printing is not only a very unique way of creating something, but it also gives its user a very wide range of design […]

Beyond job creation, entrepreneurship may hold an array of further benefits to a given community which provides support for it. This project works to define some of these additional benefits, as well as to determine some features of a community which may contribute to entrepreneur attraction and youth retention rates. The research will be conducted […]

According to the World Petroleum Council (WPC), the average age of employees in Oil and Gas companies is 50 years, and it is estimated that in the next 5 years 40-60% of them will retire. One consequence of this age-related crisis is losing the accumulated knowledge by retiring “gray-beards”. In this scenario, new software technologies […]

When you load a page on the internet, or watch a video, or send an email, packets of information travel along a path from your computer to the destination. Where does this path go? If both you and your destination are located in the same country, does the path respect international boundaries? We propose a […]

This project aims to combine two different sources on merchant ship movement, AIS and satellite images. AIS data is emitted by every merchant ship above a certain size, which allows the ship to be tracked from the coastline. The goal of this project is to use both these sources of data to train an automated […]

This research arises from the need to find out how Canada’s expertise could improve science education in rural areas in the Philippines and in turn, how this collaboration could generate understandings that would also advance Canada’s public science education system. It is based on the deliberate use of technology and local knowledge frameworks. It will […]

Recent progress on deep architectures has enabled efficient representation and learning of complex high dimensional probability distributions over rich sensory data. In particular, deep mixture models and deep generative models have emerged as the most powerful techniques for this task. The proposed research aims at addressing some of the fundamental questions in this field: What […]

This project uses a marine simulator to investigate how different ship capabilities and configurations affects how well sea ice can be managed. The experiment looks at how changing various aspects of the ship (e.g. thruster power, ice class, propulsion system) affects how well the ship captain can perform the ice clearing operations. The project uses […]

The proposed project provides an intervention on the exclusionary practices, expectations, and development of contemporary VR. The project seeks to produce a Diversity Toolkit document for developers and designers working with VR. Analyzing relevant study data based on ongoing initiatives, the student will draft areas of interest, detailing the contexts conditions that are necessary for […]

Clusters are a geographically proximate group of inter-connected companies and associated institutions in a particular field, linked by commonalities and complementarities. They have long been recognized as motors of regional economic development. Numerous studies have found their positive influence on entrepreneurship and innovation compared to non-cluster regions. Indeed, there is an ample evidence explaining why […]

Portable Document Format or PDF is the de facto standard for presenting textual-visual content. In this project, we aim to develop a machine learning framework for PDF document understanding. Despite the recent proliferation of deep learning-based methods for the analysis and processing of natural images, there have been considerably less efforts on designing similar approaches […]