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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Deep Neural Networks for applications in public safety

Deep Neural networks have revolutionized machine learning and in particular computer vision. The revolution was achieved by a combination of big data, graphical processing units and advances in numerical optimization. In this work we propose to extend and develop machine learning techniques, focusing on deep learning methods for public health and safety applications. We will […]

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Improve workplace wellbeing using AI and organizational behavior software platform

behaviours within a given organization. This will allow to remedy and/or remove the counterproductive, and to enhance and enable positive behaviours, civility and engagement. The platform that will be developed is unique and distinctly not social feedback nor 360-degree feedback. The cloud-based systems that will be developed should detect, measure, map, correct, and sustain the […]

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Real world testing of online cognitive training and rehabilitation programs

With an aging population on the rise, the prevalence of cognitive decline is expected to increase substantially. Goal Management Training® (GMT) and the Memory and Aging Program® (MAP) are cognitive interventions that have been studied extensively and applied clinically to address these needs. Although previous research has demonstrated efficacy of the in-person versions of both […]

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Towards quantum?encoded optical communications over existing fiber networks

Two fundamental pillars of communications/communications networks are trust and truth; in particular, we must ensure that the message (or data) that a sender wishes to transmit does indeed reach the intended receiver without being altered or eavesdropped by an unwanted party. This project focuses on demonstrating one concept of the quantum internet. The quantum internet […]

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CAN-BIND12: Effects of Probiotics on Symptoms of Depression (EPSD)

This study will look at changes in the heart rate variability and electroencephalogram (EEG) signals in individuals receiving gut supplementation for depression. This is to see if the vagus nerve (a major nerve connecting your brain and gut) is affected by this therapeutic, and how that results in changes in your brain. This work will […]

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Data-Centric Approaches for Vertical Agriculture

This project addresses one of the challenges confronting Vertical Agriculture (VA): the acquisition of added-value data, their analysis and their transmission to enable VA to provide a steady production while minimizing its environmental impacts, manage its yield and allow for a better understanding of its inter-related component. As a starting point, strawberry production is looked […]

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