Recently added works

Cryptomarkets are marketplaces on the dark web that facilitate the sale of, mostly illicit, goods and services between vendors and buyers. There were few to no studies that examine the cryptomarket…

As people often account for a large proportion of our daily visual content, understanding human images is an important problem in computer vision, which impacts many applications ranging from human-…

Fat people are highly represented on reality television. Informed by dominant "obesity" discourses, these representations have framed fat people as inhabiting abject and unruly bodies (…

Due to the remarkable evolution of machine learning models over the last number of years, computers are now "looking into" image and video to understand scenes on behalf of humans. Most…

Optical coherence tomography (OCT) allows for the cross-sectional visualization of the retinal microvasculature and may benefit clinicians in their management of retinal diseases, such as diabetic…

Alzheimer's Disease (AD) or Dementia of Alzheimer's type (DAT) is a complex neurodegenerative disorder that accounts for 60% to 80% of all dementia cases. Because there is currently no cure…

Food loss is a systemic problem contributing to negative environmental, social, and economic impacts. Digital agriculture technologies (DAT) such as farm apps may provide a useful method for…

This thesis explores strategies for negotiating meaning in X̱aad Kíl (Northern Haida) through transcription and translation of approximately one-and-one half hours of audio and audio-video recorded…

Birds adjust flight speed according to their circumstances, and as such avian flight is a behavioural attribute rich with ecological implications. Flight mechanical theory enables the power…

Cyber attacks are becoming more sophisticated and, hence, more difficult to detect. Using efficient and effective machine learning techniques to detect network anomalies and intrusions is an…

Estimating future sea-level rise requires ice sheet models that are able to accurately simulate the evolution of ice sheets and glaciers. Ice flow behaviour is sensitive to terminus position and…

High-level synthesis (HLS) compilers enable the rapid creation of custom accelerator circuits. However, HLS-generated RTL (H-RTL) is inconsistent in terms of quality, too verbose to be comprehensible…

High Q microdevices are used in many applications with a promise of improved stability and resolution. Often, these sensors require closed-loop control to ensure stability and minimize large…

This dissertation explores the association between salesperson motivational traits, linguistic styles, and sales outcomes. Conceptually, in paper 1, I apply a previously overlooked lens of goal…

During my PhD studies I have worked on two projects. The first is about speeding up a recursive algorithm, so-called FK-B, that certifies whether two given monotone Boolean functions in the form of…

Emotions are reactions that can be expressed through a variety of social signals. For example, anger can be expressed through a scowl, narrowed eyes, a long stare, or many other expressions. This…

The immersed boundary method (IBM) simulates the interaction between a flexible elastic structure and a surrounding incompressible fluid in which it is immersed. This method is particularly useful in…

Music is an element in almost every video game. Because games are interactive and music is generally linear, writing music that matches the actions and events of gameplay presents a unique challenge…

This thesis explores the effects of domain wall width on a two-domain ultracold non-degenerate trapped gas of Rubidium-87. A gas of Rubidium-87 atoms is evaporatively cooled to just above quantum…

In this work, we consider the Multi-Agent Pickup and Delivery (MAPD) problem, where agents constantly engage with new tasks and need to plan collision-free paths to execute them. To execute a task,…