Caractérisation sous choc de foudre d’une nouvelle méthode de mise à la terre (MALT) basées sur l’utilisation des géopolymères électriquement conducteurs développés à partir de résidus de production de l’aluminium.

Depuis maintenant plus trois (3) ans, un projet a été initié par Rio Tinto et l’UQAC dans le but de réduire les résidus issus de la production de l’aluminium sachant que leur entreposage est de plus en plus problématique. Une des solutions proposées est d’utiliser ces différents résidus pour développer des géopolymères électriquement conducteurs (GEC). […]

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Work order Scheduling at maintenance Sites for Commercial Aircraft Fleet

The effective planning of resources when scheduling maintenance tasks and repair jobs is an enormous challenge, especially for heavy industries such as aerospace and transportation manufacturers. In such industries, because of the product complexity and variety, not to mention continuous technological improvements, a broad range of maintenance tasks and high-performance services should be done over […]

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Explainable time-series machine learning using the tsfresh module

The central idea of this project is the observation that publications using systematic time series feature extraction from the Open Source machine learning library tsfresh, always need to visualize and explain the extracted features. Due to the fact that tsfresh uses 168 algorithms to compute up to 800 time series features, this process can be […]

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Time-Series Based Machine Learning

The proposed project aims to enhance the interpretability of machine learning models, particularly in the context of time series data analysis. By extending the capabilities of the tsfresh library, a widely used tool for time series feature extraction, the project seeks to make complex models more transparent and understandable. This effort will improve confidence in […]

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Lead Scoring in using Artificial Intelligence and Network Ranking Methods

This research project works to improve the industry partner’s customer engagement prediction by using advanced analytics. The project focuses on understanding which contacts are most likely to engage with a customer’s marketing campaign, such as opening emails, clicking links, or making transactions. By analyzing a large amount of data, the research team will develop models […]

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Single protein isolation in Free flow counter-gradient focusing

The free-flow counter gradient focusing technology provides a solution to tackling the problem of separating and collecting large amounts of protein sample. This technology is to be high performance and scalable, and is meant to compete against current batch mode protein separation techniques. The intern will assist in developing the experimental set-up necessary to validate […]

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The Atlantic Canada Retrofit Accelerator

This project aims to develop a systematic approach to deep energy efficiency retrofits for prevalent building archetypes in Atlantic Canada, resulting in a comprehensive roadmap for regional and national deep retrofit acceleration. As part of a larger federally-funded endeavor, it contributes to the establishment of regional hubs, known as “Retrofit Accelerators,” aimed at guiding building […]

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A techno-economic analysis of the potential for the capture and transportation of carbon dioxide for utilization as an industrial feedstock in Nova Scotia

Nova Scotia plans to become a major player in the global hydrogen market. The province wants to produce green hydrogen and green ammonia using renewable electricity. Hydrogen, ammonia, and carbon dioxide are three precursors to products that will be essential to a sustainable future: Methanol can be produced by combining green hydrogen and carbon dioxide, […]

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Développement d’un additif inhibiteur de corrosion vert pour un formate de potassium destiné au dégivrage et l’antigivrage des ponts et routes

La recherche envisagée vise à relever le défi critique de combattre la corrosion induite par l’utilisation répandue de sels de déglaçage, tels que le NaCl et le CaCl2, sur les infrastructures routières. Cette problématique majeure entraîne une détérioration accélérée des structures en béton, avec des conséquences coûteuses sur l’entretien et la durabilité des infrastructures. L’objectif […]

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Réalité virtuelle sur circuit logique reconfigurable appliquée aux troubles du comportement alimentaire

Avec les avancées technologiques, la réalité virtuelle devient de plus en plus accessible comme outil diagnostique et traitement dans le domaine de la psychologie en général et celui sur les troubles du comportement alimentaire en particulier. Le dispositif actuellement disponible est basé sur un ordinateur. Le manque de mobilité du dispositif et les ressources matérielles […]

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Landmark Segmentation and Image Registration of Abdominal Point-of-Care Ultrasound Images using Deep Learning

According to the Canadian Liver Foundation, non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease in Canada, affecting 20% of the Canadian population. Over decades, NAFLD can progress to liver cirrhosis, with deceased liver function and decompensation associated with mortality and requiring consideration of liver transplantation. Thus, early diagnosis is crucial to […]

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Coherent control of spin in color centers found in wide-band gap semiconductors

Spin control is of great importance for characterization of optical emitters in a quantum system. Colour centers are fluorescence defects in a crystal, which can act as single photon emitters for quantum optics. As colour centres can operate at room temperature in an ambient environment, they hold great promise for enabling future small footprint quantum […]

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