Mechanical Design and Power Drive Improvements for Moovee’s One-seater Prototype

An emerging concept in urban transportation systems is utilization of small electric vehicles that meet the demands for enclosed personal mobility. These types of vehicles are generally small and lightweight but require much less space than more conventional vehicles such as the Smart Car. Furthermore, the vehicle is all battery electric. Recent developments have utilized […]

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Machine Learning based Combustion Control for Zero Carbon fuels

The Canadian Net-Zero Emissions Accountability Act targets net-zero greenhouse gas (GHG) emissions by 2050 with similar commitments around the globe. In the short-term, emissions from heavy-duty internal combustion engines (ICEs) that dominate the power generation in freight transportation industry can either be reduced or eliminated with zero-carbon fuels such as Hydrogen / Ammonia. One solution […]

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Compact dc Transmission

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 […]

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Design and performance assessment of light rail train bridges

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 […]

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Improving berry picking efficiency of wild blueberry harvester using precision agriculture and bio-systems modeling techniques

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. […]

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Développement d’un appareil d’étirement motorisé

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 […]

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Rheological behavior of modified asphalt under short and long-term aging in Colombia

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 […]

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Machine Learning-based Approaches for Channel Estimation and Spectrum Sharing

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 […]

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Développement d’un procédé de fabrication d’un récepteur CPV

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 […]

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Finetuning an Embedding Model for RAG in the Construction of Minority Languages

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 […]

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Développement d’algorithmes de moindres carrés non-linéaires sous con-traintes appliquées pour la prévision de la demande en électricité

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 […]

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