Improved transductive regression using interconnected data

The explosion of data from personal phones, apps, and sensors have enabled powerful machine learning algorithms to help computers identify, categorize, and evaluate information without the help of humans. However, teaching computers how to identify, categorize, and evaluate information usually requires feeding the computers a lot of data pre-labelled by humans. The pre-labelling process is […]

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Understanding Disengagement from Early Psychosis Intervention Services

While the effectiveness of early psychosis interventions (EPI) for young people with first-episode psychosis has been well-established, research suggests that almost one-third of patients disengage from services. Although lack of family involvement and substance use have arisen as consistent factors associated with EPI disengagement, many other factors remain unexplored. Furthermore, few studies have explored patient […]

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Hearing aid sound quality optimization across different hearing aid styles

Hearing aids are a common intervention for hearing loss and current devices use sophisticated signal-processing to improve speech intelligibility (i.e., understanding words). These functions may also be detrimental to sound quality (i.e., “goodness” of sound) and this detriment can be a significant barrier to hearing aid satisfaction. Increasing the hearing aid bass response can improve […]

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Development of Artificial Intelligence Powered Technologies in Computational Pathology to Enable Automated Slide Screening in Whole Slide Imaging

Advances in Whole Slide Imaging (WSI) and Machine Learning (ML) open new opportunities to create innovative solutions in healthcare and in particular digital pathology to increase efficiencies, reduce cost and most importantly improve patient care. This project envisions the creation of new automated ML tools including the design of a custom Convolution Neural Network (CNN) […]

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Towards the Development of a Prognostic tool for Harmful Algal Blooms

The Laurentian Great Lakes and many Canadian inland waters have experienced a resurgence of cyanobacteria-dominated harmful algal blooms (cHABs), which negatively impact recreational uses, aesthetics, taste and odor in drinking water. The presence of toxins can also have dire repercussions on aquatic wildlife and human health. The factors that influence the occurrence and magnitude of […]

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Radon: Building a BC Based Response

Radon is a cancer-causing radioactive gas produced by the natural decay of uranium in rocks and soils. Radon can enter buildings and reach high levels in indoor air (Khan and Gomes, 2017). It is the second-leading cause of lung cancer (after smoking). killing approximating 3200 Canadians a year (Chen et al. 2012). High radon concentrations […]

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Solar harvesting textiles for self-powered health monitoring and human-machine interactions

Wearable electronics has become one of the most intensive research fields due to the ability to improve human life, enable interaction in the virtual world and the demand for portable electronics. Textiles with embedded electronic elements hold great potential for the next generation of health monitoring and human-machine interaction devices. Flexible sensors built on textiles […]

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Brazing Metallurgies and Processes for Attaching Sintered Carbide Tiles

A two-year study on brazing technologies used for sintered tungsten carbide tiles is proposed to address the following technical objectives: 1) brazing metallurgy for sintered tungsten carbide and substrate high strength steel, 2) adherence mechanisms between different braze compositions and carbide tiles, 3) brazing parameters for optimized brazed joint performance, and 4) the mechanical stresses […]

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Process Development of Atomic Layer Deposition Cobalt and Ruthenium Metal Films

Next-generation integrated circuits require the innovation of new interconnect materials in order to maintain the performance improvements of Moore’s Law scaling. Cobalt (Co) and ruthenium (Ru) are two specific metals that are garnering strong interest for use in the filling of interconnects because of their better electrical performance and reliability at the extremely scaled dimensions […]

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Development of Remedial Action Objectives for McKay River Watershed Impacted by Open Mines and Steam-Assisted Gravity Drainages

Since the 1960s, the lands of several indigenous communities such as the Fort McKay Métis have been largely impacted by open mines and steam assisted gravity drainages (SAGDs). Such oil sands operations have disturbed large areas, changed geology, hydrogeology, hydrology, aquatic and terrestrial environment, and created a linear disturbance. This research project will map and […]

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Large-scale optimization algorithms for optical and fiber networks

Networks are moving towards being adaptive. This means that automation will be used to replace processes which are today highly manual. This project proposes a development of knowledge in the area of algorithms required to enable adaptive networks. The project will train two PhD students to understand optical networks and devise optimization algorithms in the […]

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