Flow, the psychological state of being totally absorbed into an activity, has been suggested to be an important topic for future research as it represents ‘optimal experience.’ This research seeks to understand 1-how to facilitate flow while engaging with virtual reality products and 2-the outcomes of experiencing flow in regards to attitudes towards virtual reality […]

Internet display advertising is a substantially growing industry, where advertising spots are dynamically allocated according the product characteristics and the target audience. This is commonly seen on Facebook or Google. However, accurate audience targeting is still an enormous challenge in practice, and often evokes frustration for advertisers and users. However, with the rapid growth and […]

Due to lifestyle and work demands, chronic sleep deprivation is now experienced by many people, leading to increased drowsiness and fatigue which can have a negative influence on health, safety and work performance. Drowsiness, in particular, can influence fitness to drive and put people at significant risk. With this in mind and in response to […]

High-volume online stream processing, also known as fast data processing, is becoming increasingly important in a number of different commercial sectors. Unlike big data processing in which data is processed asynchronously in batches, fast data processing performs synchronous data analysis that generates actionable results within a specified deadline. One of the key challenges in building […]

The following document explores the impact of visual language and new gesture-based tools to create prototypes that can be used in the final stages of production. With the contemporary ample use of different prototyping tools to create iOS applications, the interaction between designers and programmers is evolving based on what these tools allow. Small cross-function […]

The aim of this Mitacs proposed project is to gather information on the process of creating an animated, adventure video game, Debris (copyright Moonray Studios Inc.), aimed at helping youths recognize the symptoms and triggers of psychosis and overcome mental health stigma. This project uses an integrated knowledge translation (iKT) approach to facilitate youths’ and […]

This research project will provide the intern with the opportunity to work with end users (students and faculty) to refine, further develop and test a prototype of NursApp, a learning management system (LMS) designed to create opportunities for students to use technology to learn in post-secondary education. The intern will work with co-owners to conduct […]

Fiber Bragg gratings (FBGs) have attracted considerable interest in the past three decades as a key technology in different applications. The intention of this project is to develop a FBG writing technique based on a scanning tunable Phase-Mask Interferometer using different UV lasers. The project includes optimizing the tunability of the interferometer, and analyzing the […]

The strength and stability of rock is strongly affected by the presence of embedded discontinuities, such as the bedding planes and/or pre-existing macro-fractures. In the latter case, given the scale of the problem the use of homogenization techniques is rather restricted as no direct experimental verification is feasible. Therefore, the issue needs to be addressed […]

Datasets obtained from different sources are often heterogeneous: they do not share a common internal structure, even though they are nominally about the same subject matter. This makes reporting against datasets difficult without laborious, manual efforts to clean and transform the data. This project will investigate the feasibility of an approach to abstract the harvesting […]

Information systems are critical assets for enterprises and contain important knowledge acquired over the years. Over time, as these software systems grow in scope and complexity, they introduce greater variability in design at the level of individual software components. As a result, these systems deviate from their initial architecture. The latter can no longer be […]

This phase of the project continues on the research focus of developing intelligent control for machines using derived deep machine learning schemes. The learning algorithms to be developed will use high volume data from various processes in advanced manufacturing and other systems, combined with could based analytics, formulate complex and accurate process models of these […]