Master Theses & Projects
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Effects of per-and polyfluoroalkyl substances (PFAS) on the freshwater gastropod (Planorbella pilsbryi) in the laboratory and in situ integrating a multi-omic approach
(2023-09-01)Per- and polyfluoroalkyl substances (PFAS) are anthropogenic chemicals that are globally used in consumer and industrial applications. Specifically, perfluorooctane sulfonate (PFOS) has been under scrutiny due to its ... -
Investigating proteomic profiles of rainbow trout (oncorhynchus mykiss) kidney and liver tissues exposed to low concentrations of waterborne nickel
(2023-08-01)Nickel has become a component of natural freshwater that may pose serious ecological risks to aquatic wildlife. Due to Canada’s significant presence in producing and exporting nickel, the country has the opportunity to ... -
Gloss positioning for a gaze aware L2 reading aid
(2023-08-01)An important aspect of language learning is reading texts written in the learner’s second language (L2). However, reading can be a daunting task for language learners, as text may contain a large amount of unknown vocabulary. ... -
An inquiry into virtual materiality
(2023-08-01)“We shape our tools, and thereafter they shape us," this Mcluhanism demands that when we create, we do so thoughtfully. This thesis examines artists' relation to VR tools for 3D shape modelling and their needs regarding ... -
PiXi: an approach to nudge secure password creation
(2023-04-01)Passwords, a first line of defense against unauthorized access, must be secure and memorable. However, people often struggle to create secure passwords they can recall. To address this problem, we design Password inspiration ... -
Towards improving the usability of system-assigned PINs: can implicit learning techniques help?
(2023-08-01)Personal Identification Numbers (PINs) are widely used for automated teller machines (ATMs), computers, mobile devices, debit cards, and credit cards. People tend to choose easy-to-recall PINs that are related to important ... -
Developing an elevated temperature Pourbaix diagram for zirconium and multi-element Pourbaix diagram of Zircaloy-4
(2023-08-01)Zirconium and Zircaloy-4 are used in applications that require corrosion resistance under extreme conditions. For example, the fuel bundles in coolant systems of CANDU™ reactors operate between 533 to 583K (260 to 310 °C). ... -
Scalable subgraph representation learning through simplification
(2023-06-01)Link prediction on graphs is a fundamental problem. Subgraph representation learning approaches (SGRLs), by transforming link prediction to graph classification on the subgraphs around the links, have achieved state-of-the-art ... -
Subgraph classification through neighborhood pooling
(2023-06-01)Subgraph classification is an emerging field in graph representation learning where the task is to classify a group of nodes (i.e., a subgraph) within a graph. Graph neural networks (GNNs) are the de facto solution for ... -
Depletion induced bundling of rod-like colloids and simulations of triple helix bundles
(2023-06-01)We ran molecular dynamics simulations of rod-like colloids acting under depletion forces. In these simulations, we found bundling of the rods above a given strength of the depletion force. We then analyzed the bundle ... -
Error estimation for single-image human body mesh reconstruction
(2023-05-01)Human pose and shape estimation methods continue to suffer in situations where one or more parts of the body are occluded. More importantly, these methods cannot express when their predicted pose is incorrect. This has ... -
An optimization-based approach to image fusion using structural similarity
(2023-05-01)This thesis examines a framework for solving optimization problems involving structural similarity index measure Mean. Image fusion involves combining multiple images to preserve their most desirable characteristics. The ... -
Investigation into potential Dirofilaria immitis drug targets through rational anthelmintic synthesis and design
(2022-04-01)Dirofilaria immitis is a mosquito-transmitted parasitic nematode that can cause debilitating disease in dogs. D. immitis is present in Canada and over the years has increased in prevalence due to several factors including ... -
Palatable game development: lessons learned from Foodbot Factory, accessibility, and audio games
(2023-04-01)To address a lack of serious game work focusing on the development itself, this thesis describes recommendations for developers based on the development of Foodbot Factory, a nutrition-based serious game. Additionally, to ... -
Java lock contention antipatterns and their detection within Java code
(2023-04-01)Java Based Multithreaded programs are used in a wide variety of applications and consequently many developers are required to create code designed for synchronized environments. However, finding problems in synchronized ... -
Towards deep learning models for automatic computer program grading
(2023-04-01)Automatic grading of computer programs has a great impact on both computer science education and the software industry as it saves human evaluators a tremendous amount of time required for assessing programs. However, to ... -
Performance assessment of Au SERS substrates prepared by deposition of Au nanoparticles on screen-printed SiO2 particle films
(2023-02-01)Surface-enhanced Raman spectroscopy (SERS) is a highly studied technique for simple and rapid trace analysis. Screen-printing, a low-cost fabrication method, has been proposed as a reproducible and affordable approach for ... -
Metabolic, neurotoxic and immunotoxic effects of PFAAs and their mixtures on the proteome of plasma and head kidney from rainbow trout
(2023-03-01)PFAAs (Perfluoroalkyl acids) are a class of bioaccumulative, persistent and ubiquitous aquatic contaminants. A paucity of toxicological information exists for short chain PFAAs and PFAA mixtures. In order to address these ... -
Transformer-based models for answer extraction in text-based question/answering
(2023-04-01)The success of transformer-based language models has led to a surge of research in various natural language processing tasks, among which extractive question-answering/answer span detection, has received considerable ... -
Optimizing relational search with embedded neural network
(2023-04-01)Our research focuses on a novel method to query relational data. We propose the partial tuple search problem where a user can utilize keyword search to explore complex relational datasets. The challenge of evaluation of ...
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