A Study on Information Diffusion Systems

In this project, a model interpreted by a differential equation system is developed to study two-innovation diffusion. We will examine stability, developing tendency, distribution, bifurcation and other properties of the system depending on different model parameters. We will also investigate the corresponding discrete forms of the system and compare the obtained results. Both approaches of […]

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Multi-SNP prediction model for lung function decline

Chronic obstructive pulmonary disease (COPD) is a 3rd leading cause of death (1) which decreases lung function due to irreversible airway obstruction. The main indicator of the progression of COPD is a rate of the forced expiratory volume of 1 second (FEV1) decline. The intern will build the prediction model for the slope of FEV1 […]

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Prototyping and testing of novel facemasks for protection against SARS-CoV-2 aerosol transmission

The proposed research project to be undertaken by the interns involves laboratory measurement of the filtration efficiency and pressure drop of fabric-based filtration media. Results of these experiments will inform the selection of filtration media used by the partner organization for mass production of made-in-Alberta masks for protection of the public against viral transmission. Such […]

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Applying Data Science and Machine Learning Techniques to Canadian Oil and Gas Extractions

Alberta’s Oil and Gas (O&G) sector plays a critical role in Canada meeting its commitment to the Paris Climate Change Agreement. However, few studies published the actual operation data for extraction operations (schemes), especially fuel consumption data to accurately project greenhouse gas (GHG) emissions for development and expansion of O&G projects. In this study, we […]

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Deciphering the catalyst-ionomer interface in fuel cells: Molecular dynamics simulations of local transport properties

Polymer electrolyte fuel cells are a key technology in the race against climate challenge, and while commercial applications are increasingly common, challenges remain in cost, performance, and durability. Most of the issues that prevent full commercialization affect the catalyst layer, the region where the power-generating electrochemical reactions take place, like the oxygen reduction reaction. This […]

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Deciphering the catalyst-ionomer interface in fuel cells: Molecular dynamics simulations of local transport properties – Year two

Polymer electrolyte fuel cells are a key technology in the race against climate challenge, and while commercial applications are increasingly common, challenges remain in cost, performance, and durability. Most of the issues that prevent full commercialization affect the catalyst layer, the region where the power-generating electrochemical reactions take place, like the oxygen reduction reaction. This […]

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Utilisation des techniques d’intelligence artificielle pour améliorer les applications des nouveaux types d’images d’observation de la Terre

Le projet proposé vise à développer des architectures d’apprentissage profond pour analyser divers types d’images d’observation de la Terre utilisées par Effigis. Il est divisé en trois sous-projets, visant chacun un type d’images et d’applications associées. Le premier sous-projet concerne l’identification des bâtiments sur les images satellites à très haute résolution (30 – 50 cm) […]

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Collection and transcription of a corpus of aphasic speech for the development of a prototype of an intelligent communication aid application

Aphasia is an impairment of language caused by an injury to the brain. Word finding difficulties often accompany aphasia and can persist even after intensive speech therapy, having a negative impact on the person’s social participation and quality of life. Today’s communication aids can improve the ability to effectively communicate but findings from focus groups […]

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Development of a Methane Flux Sensor

This project supports development of a laser-based sensor capable of accurately measuring methane releases from oil and gas wells, an important source of greenhouse gas emissions. This sensor will lead to a more accurate understanding of greenhouse gas emissions and enable mitigation actions in the upstream oil and gas industry. This is a critical step […]

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