Biopolymer-integrated pultruded glass fiber-reinforced (FRP) composite materials for shoreline protection

As part of a larger proposal, the proposed research project aims to develop biopolymer-integrated, environmentally-resilient thermoplastic glass fiber-reinforced polymer (FRP) composite materials with the goal to protect Atlantic shoreline from soil erosion due to accelerated climate change events. The project, in partnership with New Brunswick Innovation Foundation (NBIF) and Thermopak Ltd., will modify the conventional […]

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Pathology and disease diagnosis using artificial intelligence and machine learning: Supervised and unsupervised deep-learning based methods on data from medical imaging procedures and patient chart analysis

Machine learning applications in healthcare have shown excellent inroads in medical imaging sciences in recent years. Our research aims to improve upon and open up doors into several different pathology diagnosis applications using artificial intelligence. Contemporary research into some of these applications has shown better diagnostic capacity than expert-level clinicians. Our research into artificial intelligence […]

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Cascades : Explicabilité des anomalies de séries temporelles industrielles

Les ruptures de feuilles de papier produites par Cascades sont une préoccupation majeure pour Casades car elles diminuent la fiabilité et l’efficacité du processus de production de la pâte à papier, entraînent des coûts substantiels et posent un risque important pour la sécurité des opérateurs de l’usine [3]. Par conséquent, ce projet aborde le problème […]

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Unions and the Macro-Economy

This research proposes to examine the relationship between unionization in Canada and Canadian rates of employment, unemployment, and the distribution of earned income. Particular attention will be paid to the institutional environment in which unions and collective bargaining exist. The problem to be explored is the way in which the institutional environment (such as laws […]

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A framework to enhance deep learning systems’ trustworthiness against Out of Distribution examples

In the past decade, deep learning models have demonstrated their highest performance for a variety of tasks. These models outperformed classical machine learning models and even humans in terms of performance and accuracy. However, previous research indicated that these models are vulnerable to out-of-distribution and adversarial inputs. Ideally, these inputs should be rejected by the […]

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Post-discharge health-related quality of life, disability, and risk of post-traumatic stress disorder amongst the survivors of the veno-venous extracorporeal membrane oxygenation during the COVID-19 pandemic

During the COVID-19 pandemic, patients with severe pneumonia sometimes required a type of life-support machine for their lungs called ECMO. Using large intra-venous lines, ECMO removes blood from a patient, adds oxygen to the blood, and puts it back into the body. While it can be life-saving, some patients can develop a brain injury while […]

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Heuristiques pour la gestion des créneaux horaires de livraison

L’objectif général de ce projet est le développement d’heuristiques à la fine pointe des connaissances actuelles pour des problèmes de gestion de créneaux horaires de livraison (PGCHL). L’objectif de telles problématiques est de proposer un ensemble des créneaux horaires à offrir dans chaque zone prédéfinie de la région de livraison ainsi que le plan de […]

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Hypoxia severity impacts on cortical activity in moderate to severe OSA patients

Obstructive Sleep Apnea (OSA) is an important respiratory disease characterized by recurrent blockages of the throat (‘upper airway’) during sleep. These blockages result in short lapses in breathing. The low oxygen levels and disruption of sleep caused by OSA contribute to many problems including: sleepiness, poor quality of life, awakenings during sleep, hypertension, heart disease, […]

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SBQuantum : Méthodes de compensation avancées pour intégration d’un magnétomètre quantique à des plateformes de déploiement

Derrière tout système de navigation, la carte planétaire du champ magnétique terrestre est à la base de l’attitude et de l’orientation des véhicules. Cependant, le champ terrestre évolue dans le temps et doit être mis à jour aux cinq ans afin de préserver une bonne précision de ces systèmes. SBQuantum développe une solution de magnétométrie […]

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Syntell : Contrôle qualité automatique de grains

L’agriculture est un domaine important pour la societe. En ce sens, l’intelligence artificielle vient de plus en plus aider les agriculteurs avant, pendant ou apres les recoltes, notamment pour le controle des grains qui est une etape importante apres la recolte pour assurer un grain de qualite. Le projet de stage propose par Syntell, en […]

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Computational analysis of the impact of varying cathode catalyst layer microstructural parameters on transport properties

Anthropogenic greenhouse gases and aerosols resulting from the combustion of fossil fuels to power our current energy systems are the leading cause of climate change and pose human health risks, especially in urban areas. Hydrogen proton exchange membrane fuel cell (PEMFC) electric vehicles offer the opportunity to displace the internal combustion engine from medium- and […]

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Enhanced Perception for Autonomous Truck Mounted Attenuator (ATMA) to Increase Work Zone Safety

This project makes an existing Autonomous Truck Mounted Attenuator (ATMA) system fully operational for Canadian harsh weather conditions and develops an augmented perception framework to enhance motion planning of the control system. The primarily focus of ATMA is ensuring the safety of highway workers and transportation infrastructure in work zones. On successfully understanding the existing […]

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