Renewable Energy Mobility (REM)

The proposed REM project aims at developing and installing a highly iconographic solar charging station that will help inspire and foster the expansion of local infrastructure for electric vehicles at York University. This effort is part of a plan to use this innovative solar charging station to offset the electrical needs of EVs and most […]

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“Improving Flexural Strength Predictions in Composite Materials using Image Processing and Machine Learning”

This project aims to improve the way we assess the strength of short fiber reinforced composites, focusing on sustainability. By exploiting the distinct visibility traits of PEEK and carbon fibers in CT scans, the study will utilize non-destructive testing and computer algorithms to analyze and measure factors critical to the material’s strength directly from scan […]

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Past and current Bitcoin adopters in Canada

The popularity of cryptocurrencies has continued to increase over the past years, raising serious policy concerns among Central Banks. Given the Bank of Canada’s role in maintaining financial stability, its 2019 Financial System Review identified the evolution of the cryptoasset market as one of six financial vulnerabilities that need to be monitored closely. Currently, in […]

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Business strategy – Europassport

EuroPassport aims to strategically position itself in the market with the introduction of a new SaaS platform to disrupt the legal immigration industry. This project focuses on comprehensive research and analysis to understand market dynamics, customer needs, and competitive landscapes.

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Self-supervised learning for animation

In response to the dynamic challenges inherent in the gaming industry’s character animation pipelines, characterized by the labor-intensive and error-prone nature of manually labeling frame-by-frame data, this project endeavors to integrate Self-Supervised Learning (SSL) techniques into the animation workflow. SSL offers a compelling solution by enabling the acquisition of efficient and generalizable representations from large […]

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Study Cluster melting by enhancing Parallel Tempering Monte Carlo Simulation with Gaussian Software Interface through GPU Acceleration for Efficient Energy Calculation

This project aims to simulate the melting of clusters that are important in the field of nanotechnology and catalysis. We will improve the computational efficiency of Parallel Tempering Monte Carlo (PTMC) simulations by integrating GPU capabilities and interfacing with Gaussian software for energy calculations. The project is an essential part of a Ph.D. thesis that […]

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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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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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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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Enhancing Recruitment Application Processing Using Artificial Intelligence Technology

ApplyBoard is a Canadian company that offers an artificial intelligence-enabled recruitment platform to help international students apply for post-secondary studies abroad. Embarking on a collaborative venture with York University, this research project aims to improve the application processing framework at ApplyBoard through the integration of advanced AI technologies. By leveraging machine learning algorithms, Optical Character […]

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The question of adolescent ideality in education

In the last four years, we have seen world youth revolts in the streets, in the home, and in school. The social response, is almost always accompanied by a tone of disbelief. Adults show disbelief with the adolescent’s desire to be plugged in to a device for an unbelievable number of hours. And paradoxically, when […]

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