The project will investigate a novel HVdc transmission arrangement referred to as a “symmetrical monopole”. This configuration has the ability to continue operation even when one of the transmission line conductors is faulted. This property allows for the use of new compact dc transmission lines which occupy only a fraction of the right-of-way of other […]

Light Rail Transit (LRT) is a vital mode of public transportation that allows efficient movement of people and goods throughout Canada, and especially in major cities. Contrary to highway and traditional rail bridges, LRT bridge design issues have received little attention, although most of the major Canadian cities have LRT systems. Currently there exists no […]

The overall objective of the proposed initiative is to develop a novel, automated and integrated field operation and berry harvesting system that will identify the root causes of increased loses; increase berry picking efficiency and product quality. Currently, there are 15 to 25% fruit yield losses during the harvesting with the existing commercial blueberry harvester. […]

ExoFlex est un projet d’équipe qui a vu le jour dans le cadre d’un cours à l’université. L’un des membres de l’équipe est atteint d’une maladie neuromusculaire provoquant une grande rigidité dans les tendons. C’est pourquoi ExoFlex s’est donné la mission de créer un appareil motorisé d’aide à l’étirement du mollet, conférant autonomie et bien-être […]

This project focuses on investigating the behavior of a typical Colombian asphalt, which has been modified to enhance its properties, under short and long-term aging conditions. The primary objective is to evaluate how these modifications influence the asphalt’s strength and durability, critical factors affecting its lifespan in road pavement. The overarching goal is to develop […]

Using simplified language understandable to a layperson; provide a general, one-paragraph description of the proposed research project to be undertaken by the intern(s) as well as the expected benefit to the partner organization. (100–150 words) The proposed research is focused on developing machine learning and deep learning-based approaches to improve the operation of 5G networks […]

Ce stage s’inscrit dans un projet de recherche qui a pour objectif le développement d’un récepteur CPV avec un réseau dense de cellules solaires, en utilisant une architecture basée sur le concept de FOWLP (Fan-Out Level Packaging). Les cellules à concentration (CPV) présentent l’efficacité la plus élevée parmi toutes les technologies photovoltaïques, et le concept […]

This project seeks to bring a PhD student from Yonsei University, South Korea, to Concordia University for research focused on developing an AI-powered automated construction site monitoring technology. Building upon the applicant’s expertise gained during their studies in South Korea, we aim to establish a Large Multimodal Model capable of generalizing object recognition, meeting Level […]

La prévision de la demande d’électricité à court terme est un des enjeux majeurs de l’exercice des activités d’Hydro-Québec. Cette tâche requiert de calibrer les paramètres de modèles de prévision complexes par rapport à un grand nombre de données. Or, un des systèmes de calibration utilisé quotidiennement éprouve des difficultés d’adaptation face à la nouvelle […]

We are testing a novel approach that enables us to create structures with specific sizes and shapes within aerogel using syringe pumps and 3D printers. This method enables specific internal pore structure design. This is possible because freeze-drying removes ice structures placed within the wet gel. Once the aerogel is lyophilized, it will have cavities […]

6G is the next generation of wireless network technologies. 6G signals are millimeter-waves, which are highly prone to blockage from obstacles such as trees or buildings. Due to this, behavior of the wireless environment is highly probabilistic and coverage holes can appear. This project aims to develop a reconfigurable intelligent surface (RIS) which has the […]

Climate change has emerged as one of the most critical problems of the 21st century, driven by the rise in greenhouse gas emissions. The polymer electrolyte membrane fuel cell (PEMFC) is a device that converts chemical energy into clean electricity with zero emissions. The proposed research aims to utilize machine learning algorithms to predict the […]