In this study, we are exploring how Artificial Neural Networks compare to the brain on the task of face recognition. We are using a FaceNet model trained using different loss functions and comparing them to how the brain works. We are curious to see how well these instructions make the computer’s recognition similar to how […]

The major objectives of this research are to derive the ultimate performance limits of a communication system using Reconfigurable Intelligent Surfaces (RIS), trying to reach those ultimate limits through the optimization of elements of the RIS and their configuration, evaluating the performance of physically realizable RIS based systems given practical limitations, and trying to alleviate […]

Aerial drones have been seeing a rise in popularity in a variety of domains such as shipping, search and rescue operations, and photography due to their ability to carry cameras and other packages through trajectories that avoid ground obstacles or offer an advantageous vantage point, all while allowing the operator to remain at a safe […]

Our comprehensive real estate project is structured into two innovative subprojects, each spanning four months, with the overarching aim of revolutionizing communication and decision-making in the real estate market for buyers, sellers, and agents. Sub Project 1: The Smart Open House introduces a groundbreaking approach to open houses. This system features a digital sign-in for […]

Les mesures par contact des vibrations structurelles sont effectuées traditionnellement à l’aide d’accéléromètres. Les mesures de vibrations sans contact ont été initiées avec la vibrométrie laser Doppler, mais le nombre d’applications à des excitation transitoires reste limité car la vibrométrie nécessite une opération de scan. Les techniques photographiques, comme la déflectométrie ou la corrélation d’images […]

Le composite bois-polymère (CBP) est un matériau de construction fait de polymère chargé de particules ou fibres de bois. La popularité de ce matériau est grandissante, mais ses propriétés mécaniques le limite aux applications non-structurales. Le projet propose d’évaluer cinq approches qui permettraient d’élargir le spectre d’utilisation des CBP et d’augmenter significativement leurs propriétés mécaniques: […]

Le projet de stage chez Empenn a pour objectif de modéliser les conséquences des traumatismes crâniens chez les enfants en se basant sur des données d’imagerie par résonance magnétique (IRM). Ce stage sera mené par la stagiaire Andjela Dimitrijevic, se concentrant principalement sur l’acquisition de données liées au traumatisme crânien léger (TCC) chez les enfants, […]

The proposed R&D project with Linkbase is focused on propelling Canada’s hospitality industry into the digital age. While the sector may be lagging behind counterparts in places like Asia that are leading the digitized hospitality space, this project aims to bridge that gap. By harnessing technology to connect locks and streamline digital check-ins, property managers […]

AI-MD is an AI-driven symptom checker that allows people to monitor their health and scan their body for suspected illness and disease. Millions of people are using symptom checkers online every month that only allow them to describe thier symptom information using text or checking off boxes. Not only are these tools not accurate, but […]

The objective of the SILO research project is to bridge the gap between theory and practice in STEM education by trialing the various STEM units in classrooms. A sub-objective of the SILO research project is to critique and refine the units according to the principles of Provisional Multimodal Research (PMR) in the context of creating […]

This project, as part of an ongoing collaboration between the University of Calgary (UCalgary) and École Nationale Supérieure d’Arts et Métiers (ENSAM), is dedicated to validating a trust model developed from a Ph.D. thesis work. The trust model serves to describe the effectiveness of human-machine collaboration in various tasks. By creating a real-world case for […]

Our collaborative project unites Brazilian and Canadian institutions to drive innovations in high-resolution microscopy and materials characterization. Leveraging cutting-edge techniques like High Harmonic Generation (HHG) and Terahertz (THz) sources, alongside novel imaging methods such as Spatial Frequency-modulated Imaging (SPIFI) and the Derivative Optical Imaging Technique (DOIT), the University of Federal do Paraná (UFPR) in Brazil […]