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 […]

The complexity of modern healthcare requires teams of professionals to work together to identify gaps in care. Failures of the healthcare team mean that patient safety and healthcare outcomes are compromised. This series of studies will explore how cognitive load and stress influence obedience to authority, team performance and ultimately patient safety. The outcomes will […]

Social Enterprise is a catalyst for social and economic empowerment and inclusion, and has been identified as an innovative opportunity to address workforce challenges and economic sustainability in Southwestern Newfoundland. The goal of this project is to facilitate evidence-based research and analysis and to disseminate resources and practical tools which encourages and supports social enterprise […]

The design of next-generation cleaner and quieter aircraft will rely on accurate simulations of turbulent flows. These simulations, referred to as Computational Fluid Dynamics (CFD), are critical in the design of both the external shape of an aircraft, as well as other components such as jet engines and propellers. The industry partner, ANSYS, develops one […]

Le projet de recherche ci-présent traite de la compromission des identités des clients et des employés au sein du secteur financier et se focalise plus spécifiquement sur trois moyens qui s’y rapportent : l’hameçonnage, le « credential stuffing » et le « password guessing ». Le projet a comme objectif de prévenir ces cyberattaques par […]

New biopesticides products development usually incurs high cost and high risk for clean tech companies. R&D resource allocation is challenging. There are difficulties with technical/market uncertainty and with evaluating the potential contributions of technological investments to firm specific intangible assets. Technology portfolio management (TPM) is a dynamic decision process in which new development projects are […]

The SARS-CoV-2 virus is currently causing a pandemic that is overburdening the healthcare system and causing unprecedented economic disruptions on a global scale. A method called serological testing uses viral proteins to determine if the someone has been infected and has now become immune to the virus; however, it is currently very expensive to produce. […]

Le projet vise à concevoir un outil qui aidera les administrations portuaires à faire des choix stratégiques sur les pratiques d’affaires et nouvelles technologies à implanter pour devenir des ports intelligents. L’outil proposera des résultats personnalisés afin de prendre en compte les enjeux actuels et futurs propres à un port. La création de l’outil reposera […]

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) […]

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 […]

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 […]

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 […]