Security enhancement of free-space quantum key distribution system

Satellites have become a crucial part of everyday life. We use satellites for watching television, navigation, weather predication, national defense, and everything in between. Therefore, the safety and security of our satellites is very important. However, there are two problems that put satellites at risk of cyberattack: 1. As computers become more advanced, old cryptographic […]

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Apprentissage profond informé par la physique des ultrasons

Dans le domaine du contrôle non destructif, l’intelligence artificielle peut être utilisée pour inspecter de grandes quantités de données ultrasonores (ce sont des échographies de matériaux métalliques, composites ou autres), pour y détecter des défauts de fabrication ou d’usure (par exemple des trous, de la corrosion, etc.). L’application de techniques éprouvées d’IA donne des résultats […]

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Enhanced machine learning for hematology analytics with near-field microscopy

Alentic Microscience Inc has developed a highly portable device that can analyse blood in a few minutes, opening the possibility for much improved healthcare for a lower coast. The system uses AI a proprietary sensor system that provides data for an AI based analysis technique. In this project we will evaluate the impact of recent […]

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Arctic Research Foundation– Polar Data Analyst Project

The Arctic Research Foundation (ARF) is a private, non-profit organization creating a new kind of scientific infrastructure for the Canadian Arctic, through its operation of efficient, cutting-edge research vessels and self-powered mobile labs. This phase will concentrate on extending and improving the functionality of the platform, and will include developing processes to mint DOIs and […]

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Forecasting Vehicle Maintenance Needs and Breakdowns using Predictive Maintenance

Improving road safety has a direct impact on the lives of drivers as well as the costs incurred by companies operating commercial vehicles. One important aspect of road safety is timely and effective vehicle maintenance. By forecasting vehicle maintenance needs and predicting breakdowns before they occur, valuable insights can be provided to drivers and fleet […]

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A Study on the Effectiveness of Computer Vision Models for Addressing Environmental Problems Using UAVs and USVs

The research project, guided by Professor Stephen Smith, focuses on addressing environmental challenges related to water pollution and debris detection in the water areas, with a specific emphasis on garbage and waste detection on the water surface. The project entails a systematic literature review and analysis of various computer vision models to detect and classify […]

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Two-step personalized federated learning algorithm in reality

Machine learning attempts to model high-level abstractions in data using multiple processing layers with complex structures or non-linear transformations. Federated learning is a distributed machine learning approach that allows multiple parties to collaborate on training while preserving user data privacy. However, the data from each party is typically non-independent and identically distributed (Non-IID), which can […]

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Generative 3D Modelling for Game Asset Creation using Deep Learning Techniques

The 3D entertainment industry has expanded quickly in recent years, largely driven by animated content, streaming services, video game development, AR/VR/XR. The new trend enabled by the ubiquitous graphics processing power is that users are becoming creators. Surprisingly, the fundamentals of 3D creation have not changed in 45 years. This puts the creation of 3D […]

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