Data fitting to Dengue fever

The objective of the research project is to study an efficient and fast way to calculate values of some parameters which are hard to be estimated in nature in relation to dengue, they are: the biting rate, probability that a host to get infected, probability that a vector to get infected. These parameters are needed […]

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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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L’intelligence artificielle pour analyser l’acceptabilité des projets de ressources naturelles

En utilisant des modèles de Traitement Automatique des Langues (TAL), notre objectif est d’analyser de manière approfondie les articles de presse pour extraire des informations cruciales sur l’acceptabilité sociale des projets liés aux ressources naturelles. Nous nous concentrons sur l’identification des parties prenantes impliquées, ainsi que sur l’identification des facteurs clés de succès et des […]

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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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Determining the force of infection from a dynamic model

Through a method of mathematical modeling, we intend to obtain essential data to determine the risk of non-immune tourists acquiring dengue during the stay of these tourists in Brazil in the 2014 FIFA World Cup in 12 host cities, and in the 2016 Summer Olympics that is Rio de Janeiro as the host. In 2014, […]

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Étude de l’évolution stylistique et fonctionnelle de la céramique commune grecque

Participant au stage de l’école de fouille d’Argilos, j’aimerais faire un voyage de deux semaines avant le stage et de quatre semaines après le stage afin de collecter des données concernant l’évolution structurelle et fonctionnelle de la céramique commune grecque à travers les visites de musée et de site archéologique dans le Péloponnèse et dans […]

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Economic optimization of visceral leishmaniasis control

Visceral leishmaniasis is one of the world deadliest and neglected infectious diseases. Therefore, it is important elaborating a good strategic control for this disease. In this project, our general objectives include how to plan the optimization of visceral leishmaniasis control, taking into account the economic approach. This research will not involve experiments and clinical study. […]

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Post-reform China’s Evolving Compensation and Resettlement Mechanism for Land Expropriation: A Case Study in Shanghai’s Urban Fringe Region

The research will portray the institutional evolution of post-reform China’s compensation and resettlement mechanism for land expropriation through a case study in Shanghai’s urban fringe region. The project will incorporate archive studies (Phase I), interviews with various stakeholders (Phase II), and ground surveys with affected rural households (Phase II). The study will not only probe […]

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Stretchable Electronics for 6G Anomalous Reflectors

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 […]

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Geovisual Analytics for Smart Cities: Designing and Developing a User Interface for an Immersive Environment

This proposal represents part of a doctoral thesis aimed at developing an interface for immersive environments, allowing for geovisual analyses targeted at smart cities, using digital twins to investigate flood-related data. The proper application of interface design in this environment enables an improved understanding and perception of emerging risks, which are crucial elements in flood […]

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Designing Machine Learning Models for Predictive Analysis of Pressure Drop and Temperature in Free-Breathing Polymer Electrolyte Membrane Fuel Cell Stacks to find Optimal Fabrication Parameters

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 […]

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