The sixth-generation (6G) wireless communication networks promise transformative advancements in various sectors by enhancing speed, reliability, and connectivity to support applications like autonomous vehicles, smart healthcare, immersive augmented reality (AR), and the Internet of Everything (IoE). Integrated sensing and communication (ISAC) technologies are pivotal in 6G, enabling advanced applications through intelligent metasurfaces. The deployment of […]

This project proposes the development of an innovative robotic system that utilizes piezoelectric energy harvesting to convert vibrations into usable energy. The system will be integrated with flexible robotic arms, enhancing their efficiency and sustainability. Collaborative simulations and experimental studies will be conducted at The University of the West Indies (UWI) and the University of […]

This research project, a partnership between UQTR and TecScan, focuses on developing a flexible, multi-element eddy current sensor array that can adapt to complex geometries to improve the accuracy of non-destructive testing. This sensor is designed to scan surfaces with varied shapes, addressing the requirements of the aerospace sector. TecScan, specializing in non-destructive testing technologies, […]

Networks are pervasive in our world. From migrating birds flying in formation, to social groups, wireless networks, world-wide web, the examples are endless. Migrating birds, such as the Canada goose, are a good example of a network between agents where information is communicated based on real-time musical (acoustic) signals. Inspired by this example, the research […]

Axonal Networks and Concordia University are working together to develop low-power, high-throughput optical transceivers using linear drive techniques. This technique avoids extensive in-transceiver digital signal processing and clock/data recovery in favour of modest equalization, relying on the linearity of the channel and the equalization capabilities of the host chips at the ends of the optical […]

Ce projet vise une « implémentation de fonctions de navigation pour robots et véhicules hors route en plateforme hétérogène ». Spécifiquement, nous allons définir une architecture pour implémenter les fonctions de navigation en plateforme hétérogène, nous allons implémenter les fonctions de navigation pour validation sur de plateformes de robots et véhicules électriques. L’accomplissement des objectifs […]

This Mitacs project focuses on evaluating the potential of adapting the novel Hydrothermal Carbonization technology as a suitable waste-to-energy (WtE) technology for various regions. A review of relevant literature has revealed that there is little to no research or comparative study conducted to identify the optimal conditions for energy recovery using the new Hydrothermal Carbonization […]

We develop a numerical model of blood flow in the microvasculature of the human body as a building block to later simulate targeted drug delivery. The model requires (i) to implement a Front Tacking/Immersed Boundary method to coupled the solution of the fluid flows to the deformation of the red blood cells (RBCs) and (ii) […]

Au cours de la dernière décennie, les réseaux de neurones convolutifs (CNN) ont révolutionné l’analyse d’images dans plusieurs domaines du génie. Toutefois, on retrouve encore peu d’utilisation de CNN en géotechnique. Une des applications les plus évidentes pour les CNN dans ce domaine est la classification des sols et la réalisation d’analyses granulométriques à partir […]

This project focuses on creating a smart, efficient energy management system for local communities powered by solar panels and batteries. By using advanced reinforcement learning (RL) techniques, the system will automatically control energy use, storing excess solar power in batteries to reduce costs and keep the grid stable. This approach helps communities rely more on […]

The mining sector plays a significant role in GHG emissions, contributing to climate change and environmental degradation. This proposal aims to investigate specific emissions associated with mining activities and evaluate the potential of zeolite membrane direct capture technologies as a viable solution for emission reduction. By addressing gaps in the current literature regarding the application […]

Manure storage and spreading release various air emissions, including ammonia (NH3), methane (CH4), nitrous oxide (N2O), and particulate matter. Among these, ammonia is the most common gas emitted, which can harm air quality, human health, and the environment. High ammonia levels contribute to air pollution by forming fine particulate matter, which harms human health and […]