Computational Modeling of Fluid-Structure-Chemical Interactions in Fish Swimming

Aquatic species, such as fish use effective methods for navigation and propulsion in marine environments. Understanding these functionalities of detecting predators, preys, food, and mates by sensing changes in water velocity and pressure offer valuable insights to design efficient underwater robots. Although underwater odor and chemical cues are crucial for fish navigation, the exact mechanisms […]

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iPhylogeo: Interactive Platform for Genetic and Climatic Data Analysis

Les avancées technologiques dans le séquençage de l’ADN dans les années 1980 ont provoqué un changement transformateur en biologie évolutive. Cette période a donné naissance au domaine de la phylo-géographie, introduit par John Avise et ses collègues il y a un peu plus de trois décennies. Cette discipline intégrative explore les liens complexes entre l’histoire […]

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Development of a generative adversarial neural network for synthetic data generation to enhance AI-based OCT image analysis.

In the development of AI-assisted imaging tools, Perimeter faces the challenge of enhancing the accuracy and efficiency of tumor margin assessments. This research investigates whether generative AI can be used to synthesize supplemental data, alongside automated data annotation techniques can drive measurable improvements in the performance of Perimeter’s AI tools.

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Recognition of cognitive states during simulated human-vehicle interaction from EEG signals.

The project will investigate how common distractions, such as cell phone use, impact drivers’ ability to stay attentive and respond appropriately on the road. Using electroencephalography (or EEG) to monitor brain activity, we will look for patterns indicating attention or fatigue during simulated human-vehicle interaction, and classification algorithms will also be used to recognize these […]

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Optimisation de façon innovante du procédé de fabrication

Assurer un processus de production capable de maintenir une stabilite dimensionnelle des produits fabriques avec un minimum de variance, en reduisant l’ecart de longueur standard entre le min et le max, en minimisant les pertes provoques pour les productions hors norme et etre le plus innovant dans les procedes et les methodes de travail. Le […]

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Integrating AI with 4D Flow MRI for Advanced Cardiovascular Diagnostics

This project is dedicated to enhancing the safety and reliability of cardiovascular disease diagnosis through the innovative integration of Artificial Intelligence (AI) with 4D Flow MRI technology. By applying advanced machine learning algorithms, we aim to improve the precision and dependability of 4D Flow MRI analyses, ensuring more accurate assessments of complex heart blood flow […]

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Science Diplomacy capital for Africa: une étude de cas de la diplomatie scientifique de l’Afrique du Sud

La science, la technologie et l’innovation (STI) n’ont jamais été aussi présentes à l’ordre du jour international. Dans un contexte post-COVID-19 dans lequel les relations entre les gouvernements, les décideurs politiques et la communauté scientifique ont changé, parmi les «?leçons apprises?» figure l’importance de développer des capacités productives de recherche et de développement. La science […]

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Quantum Computing to enhance Machine Learning Accuracy

in this project, we are exploring the combination of quantum computing with machine learning to ensure a quantum-enhanced machine learning. We are focusing on the improvement of the accuracy and reliability of machine learning algorithms. While quantum improvements in supervised, unsupervised learning, and reinforcement learning have been reported, distributed models of machine learning such as […]

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Non-Contact condition monitoring system for outdoor ceramic insulators based on their radio frequency signatures

The research centers around the feasibility study of a method to detect faulty outdoor insulators and to classify the type of defects within the insulator. Every different type of defect results in a specific electromagnetic Signature that can be acquired using an antenna and oscilloscope. Using these Signatures some specific features (eg statistical or spectral […]

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Water dynamics monitoring in agriculture using compact polarimetry

Water dynamics monitoring in agriculture plays a crucial role in optimizing resource use, maximizing crop productivity, and promoting environmental sustainability in agricultural systems. It provides valuable data for informed decision-making, helping farmers address challenges related to water management and climate variability. Canada’s RADARSAT Constellation Mission Synthetic Aperture Radar (SAR) continuously monitors the Canadian agriculture. This […]

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